Table of Contents
InnoDB
is a general-purpose storage engine that
balances high reliability and high performance. In MySQL
8.0, InnoDB
is the default MySQL
storage engine. Unless you have configured a different default
storage engine, issuing a CREATE
TABLE
statement without an ENGINE=
clause creates an InnoDB
table.
Its DML operations follow the ACID model, with transactions featuring commit, rollback, and crash-recovery capabilities to protect user data. See Section 15.2, “InnoDB and the ACID Model” for more information.
Row-level locking and Oracle-style consistent reads increase multi-user concurrency and performance. See Section 15.7, “InnoDB Locking and Transaction Model” for more information.
InnoDB
tables arrange your data on disk to
optimize queries based on
primary keys. Each
InnoDB
table has a primary key index called
the clustered index
that organizes the data to minimize I/O for primary key lookups.
See Section 15.6.2.1, “Clustered and Secondary Indexes” for more information.
To maintain data
integrity,
InnoDB
supports
FOREIGN
KEY
constraints. With foreign keys, inserts,
updates, and deletes are checked to ensure they do not result in
inconsistencies across different tables. See
Section 15.6.1.5, “InnoDB and FOREIGN KEY Constraints” for more
information.
Table 15.1 InnoDB Storage Engine Features
Feature | Support |
---|---|
B-tree indexes | Yes |
Backup/point-in-time recovery (Implemented in the server, rather than in the storage engine.) | Yes |
Cluster database support | No |
Clustered indexes | Yes |
Compressed data | Yes |
Data caches | Yes |
Encrypted data | Yes (Implemented in the server via encryption functions; In MySQL 5.7 and later, data-at-rest tablespace encryption is supported.) |
Foreign key support | Yes |
Full-text search indexes | Yes (InnoDB support for FULLTEXT indexes is available in MySQL 5.6 and later.) |
Geospatial data type support | Yes |
Geospatial indexing support | Yes (InnoDB support for geospatial indexing is available in MySQL 5.7 and later.) |
Hash indexes | No (InnoDB utilizes hash indexes internally for its Adaptive Hash Index feature.) |
Index caches | Yes |
Locking granularity | Row |
MVCC | Yes |
Replication support (Implemented in the server, rather than in the storage engine.) | Yes |
Storage limits | 64TB |
T-tree indexes | No |
Transactions | Yes |
Update statistics for data dictionary | Yes |
To compare the features of InnoDB
with other
storage engines provided with MySQL, see the Storage
Engine Features table in
Chapter 16, Alternative Storage Engines.
For information about InnoDB
enhancements and new
features, refer to:
The InnoDB
enhancements list in
Section 1.4, “What Is New in MySQL 8.0”.
The Release Notes.
For InnoDB
-related terms and definitions, see
the MySQL Glossary.
For a forum dedicated to the InnoDB
storage
engine, see
MySQL
Forums::InnoDB.
InnoDB
is published under the same GNU GPL
License Version 2 (of June 1991) as MySQL. For more information
on MySQL licensing, see
http://www.mysql.com/company/legal/licensing/.
You may find InnoDB
tables beneficial for the
following reasons:
If your server crashes because of a hardware or software
issue, regardless of what was happening in the database at the
time, you don't need to do anything special after restarting
the database. InnoDB
crash recovery
automatically finalizes any changes that were committed before
the time of the crash, and undoes any changes that were in
process but not committed. Just restart and continue where you
left off.
The InnoDB
storage engine maintains its own
buffer pool that
caches table and index data in main memory as data is
accessed. Frequently used data is processed directly from
memory. This cache applies to many types of information and
speeds up processing. On dedicated database servers, up to 80%
of physical memory is often assigned to the buffer pool.
If you split up related data into different tables, you can set up foreign keys that enforce referential integrity. Update or delete data, and the related data in other tables is updated or deleted automatically. Try to insert data into a secondary table without corresponding data in the primary table, and the bad data gets kicked out automatically.
If data becomes corrupted on disk or in memory, a checksum mechanism alerts you to the bogus data before you use it.
When you design your database with appropriate
primary key columns
for each table, operations involving those columns are
automatically optimized. It is very fast to reference the
primary key columns in
WHERE
clauses, ORDER
BY
clauses,
GROUP BY
clauses, and join operations.
Inserts, updates, and deletes are optimized by an automatic
mechanism called change
buffering. InnoDB
not only allows
concurrent read and write access to the same table, it caches
changed data to streamline disk I/O.
Performance benefits are not limited to giant tables with long-running queries. When the same rows are accessed over and over from a table, a feature called the Adaptive Hash Index takes over to make these lookups even faster, as if they came out of a hash table.
You can compress tables and associated indexes.
You can create and drop indexes with much less impact on performance and availability.
Truncating a
file-per-table
tablespace is very fast, and can free up disk space for the
operating system to reuse, rather than freeing up space within
the system
tablespace that only InnoDB
can
reuse.
The storage layout for table data is more efficient for
BLOB
and long text fields, with
the DYNAMIC row
format.
You can monitor the internal workings of the storage engine by querying INFORMATION_SCHEMA tables.
You can monitor the performance details of the storage engine by querying Performance Schema tables.
You can freely mix InnoDB
tables with
tables from other MySQL storage engines, even within the same
statement. For example, you can use a
join operation to combine
data from InnoDB
and
MEMORY
tables in a single query.
InnoDB
has been designed for CPU efficiency
and maximum performance when processing large data volumes.
InnoDB
tables can handle large quantities
of data, even on operating systems where file size is limited
to 2GB.
For InnoDB
-specific tuning techniques you can
apply in your application code, see
Section 8.5, “Optimizing for InnoDB Tables”.
This section describes best practices when using
InnoDB
tables.
Specifying a primary key for every table using the most frequently queried column or columns, or an auto-increment value if there is no obvious primary key.
Using joins wherever data is pulled from multiple tables based on identical ID values from those tables. For fast join performance, define foreign keys on the join columns, and declare those columns with the same data type in each table. Adding foreign keys ensures that referenced columns are indexed, which can improve performance. Foreign keys also propagate deletes or updates to all affected tables, and prevent insertion of data in a child table if the corresponding IDs are not present in the parent table.
Turning off autocommit. Committing hundreds of times a second puts a cap on performance (limited by the write speed of your storage device).
Grouping sets of related DML
operations into
transactions, by
bracketing them with START TRANSACTION
and
COMMIT
statements. While you don't want to
commit too often, you also don't want to issue huge batches of
INSERT
,
UPDATE
, or
DELETE
statements that run for
hours without committing.
Not using LOCK TABLES
statements. InnoDB
can handle multiple
sessions all reading and writing to the same table at once,
without sacrificing reliability or high performance. To get
exclusive write access to a set of rows, use the
SELECT
... FOR UPDATE
syntax to lock just the rows you
intend to update.
Enabling the
innodb_file_per_table
option
or using general tablespaces to put the data and indexes for
tables into separate files, instead of the
system
tablespace.
The innodb_file_per_table
option is enabled by default.
Evaluating whether your data and access patterns benefit from
the InnoDB
table or page
compression features.
You can compress InnoDB
tables without
sacrificing read/write capability.
Running your server with the option
--sql_mode=NO_ENGINE_SUBSTITUTION
to prevent tables being created with a different storage
engine if there is an issue with the engine specified in the
ENGINE=
clause of
CREATE TABLE
.
Issue the SHOW ENGINES
statement to
view the available MySQL storage engines. Look for
DEFAULT
in the InnoDB
line.
mysql> SHOW ENGINES;
Alternatively, query the
INFORMATION_SCHEMA.ENGINES
table.
mysql> SELECT * FROM INFORMATION_SCHEMA.ENGINES;
If InnoDB
is not your default storage engine,
you can determine if your database server or applications work
correctly with InnoDB
by restarting the server
with
--default-storage-engine=InnoDB
defined on the command line or with
default-storage-engine=innodb
defined in the [mysqld]
section of your MySQL
server option file.
Since changing the default storage engine only affects new tables
as they are created, run all your application installation and
setup steps to confirm that everything installs properly. Then
exercise all the application features to make sure all the data
loading, editing, and querying features work. If a table relies on
a feature that is specific to another storage engine, you will
receive an error; add the
ENGINE=
clause to the other_engine_name
CREATE TABLE
statement to avoid the error.
If you did not make a deliberate decision about the storage
engine, and you want to preview how certain tables work when
created using InnoDB
, issue the command
ALTER TABLE
table_name ENGINE=InnoDB;
for each table. Or, to run
test queries and other statements without disturbing the original
table, make a copy:
CREATE TABLE InnoDB_Table (...) ENGINE=InnoDB AS SELECT * FROM other_engine_table
;
To assess performance with a full application under a realistic workload, install the latest MySQL server and run benchmarks.
Test the full application lifecycle, from installation, through heavy usage, and server restart. Kill the server process while the database is busy to simulate a power failure, and verify that the data is recovered successfully when you restart the server.
Test any replication configurations, especially if you use different MySQL versions and options on the master and slaves.
The ACID model is a set of database
design principles that emphasize aspects of reliability that are
important for business data and mission-critical applications. MySQL
includes components such as the InnoDB
storage
engine that adhere closely to the ACID model, so that data is not
corrupted and results are not distorted by exceptional conditions
such as software crashes and hardware malfunctions. When you rely on
ACID-compliant features, you do not need to reinvent the wheel of
consistency checking and crash recovery mechanisms. In cases where
you have additional software safeguards, ultra-reliable hardware, or
an application that can tolerate a small amount of data loss or
inconsistency, you can adjust MySQL settings to trade some of the
ACID reliability for greater performance or throughput.
The following sections discuss how MySQL features, in particular the
InnoDB
storage engine, interact with the
categories of the ACID model:
A: atomicity.
C: consistency.
I:: isolation.
D: durability.
The atomicity aspect of the ACID
model mainly involves InnoDB
transactions. Related MySQL
features include:
The consistency aspect of the ACID
model mainly involves internal InnoDB
processing
to protect data from crashes. Related MySQL features include:
InnoDB
doublewrite
buffer.
InnoDB
crash recovery.
The isolation aspect of the ACID
model mainly involves InnoDB
transactions, in particular
the isolation level that
applies to each transaction. Related MySQL features include:
Autocommit setting.
SET ISOLATION LEVEL
statement.
The low-level details of InnoDB
locking. During performance
tuning, you see these details through
INFORMATION_SCHEMA
tables.
The durability aspect of the ACID model involves MySQL software features interacting with your particular hardware configuration. Because of the many possibilities depending on the capabilities of your CPU, network, and storage devices, this aspect is the most complicated to provide concrete guidelines for. (And those guidelines might take the form of buy “new hardware”.) Related MySQL features include:
InnoDB
doublewrite
buffer, turned on and off by the
innodb_doublewrite
configuration option.
Configuration option
innodb_flush_log_at_trx_commit
.
Configuration option
sync_binlog
.
Configuration option
innodb_file_per_table
.
Write buffer in a storage device, such as a disk drive, SSD, or RAID array.
Battery-backed cache in a storage device.
The operating system used to run MySQL, in particular its
support for the fsync()
system call.
Uninterruptible power supply (UPS) protecting the electrical power to all computer servers and storage devices that run MySQL servers and store MySQL data.
Your backup strategy, such as frequency and types of backups, and backup retention periods.
For distributed or hosted data applications, the particular characteristics of the data centers where the hardware for the MySQL servers is located, and network connections between the data centers.
InnoDB
is a
multi-versioned storage engine: it
keeps information about old versions of changed rows, to support
transactional features such as concurrency and
rollback. This information is
stored in the tablespace in a data structure called a
rollback segment (after
an analogous data structure in Oracle). InnoDB
uses the information in the rollback segment to perform the undo
operations needed in a transaction rollback. It also uses the
information to build earlier versions of a row for a
consistent read.
Internally, InnoDB
adds three fields to each row
stored in the database. A 6-byte DB_TRX_ID
field
indicates the transaction identifier for the last transaction that
inserted or updated the row. Also, a deletion is treated internally
as an update where a special bit in the row is set to mark it as
deleted. Each row also contains a 7-byte
DB_ROLL_PTR
field called the roll pointer. The
roll pointer points to an undo log record written to the rollback
segment. If the row was updated, the undo log record contains the
information necessary to rebuild the content of the row before it
was updated. A 6-byte DB_ROW_ID
field contains a
row ID that increases monotonically as new rows are inserted. If
InnoDB
generates a clustered index automatically,
the index contains row ID values. Otherwise, the
DB_ROW_ID
column does not appear in any index.
Undo logs in the rollback segment are divided into insert and update
undo logs. Insert undo logs are needed only in transaction rollback
and can be discarded as soon as the transaction commits. Update undo
logs are used also in consistent reads, but they can be discarded
only after there is no transaction present for which
InnoDB
has assigned a snapshot that in a
consistent read could need the information in the update undo log to
build an earlier version of a database row.
Commit your transactions regularly, including those transactions
that issue only consistent reads. Otherwise,
InnoDB
cannot discard data from the update undo
logs, and the rollback segment may grow too big, filling up your
tablespace.
The physical size of an undo log record in the rollback segment is typically smaller than the corresponding inserted or updated row. You can use this information to calculate the space needed for your rollback segment.
In the InnoDB
multi-versioning scheme, a row is
not physically removed from the database immediately when you delete
it with an SQL statement. InnoDB
only physically
removes the corresponding row and its index records when it discards
the update undo log record written for the deletion. This removal
operation is called a purge, and
it is quite fast, usually taking the same order of time as the SQL
statement that did the deletion.
If you insert and delete rows in smallish batches at about the same
rate in the table, the purge thread can start to lag behind and the
table can grow bigger and bigger because of all the
“dead” rows, making everything disk-bound and very
slow. In such a case, throttle new row operations, and allocate more
resources to the purge thread by tuning the
innodb_max_purge_lag
system
variable. See Section 15.13, “InnoDB Startup Options and System Variables” for more
information.
InnoDB
multiversion concurrency control (MVCC)
treats secondary indexes differently than clustered indexes.
Records in a clustered index are updated in-place, and their
hidden system columns point undo log entries from which earlier
versions of records can be reconstructed. Unlike clustered index
records, secondary index records do not contain hidden system
columns nor are they updated in-place.
When a secondary index column is updated, old secondary index
records are delete-marked, new records are inserted, and
delete-marked records are eventually purged. When a secondary
index record is delete-marked or the secondary index page is
updated by a newer transaction, InnoDB
looks up
the database record in the clustered index. In the clustered
index, the record's DB_TRX_ID
is checked, and
the correct version of the record is retrieved from the undo log
if the record was modified after the reading transaction was
initiated.
If a secondary index record is marked for deletion or the
secondary index page is updated by a newer transaction, the
covering index
technique is not used. Instead of returning values from the index
structure, InnoDB
looks up the record in the
clustered index.
However, if the
index
condition pushdown (ICP) optimization is enabled, and parts
of the WHERE
condition can be evaluated using
only fields from the index, the MySQL server still pushes this
part of the WHERE
condition down to the storage
engine where it is evaluated using the index. If no matching
records are found, the clustered index lookup is avoided. If
matching records are found, even among delete-marked records,
InnoDB
looks up the record in the clustered
index.
The following diagram shows in-memory and on-disk structures that
comprise the InnoDB
storage engine
architecture. For information about each structure, see
Section 15.5, “InnoDB In-Memory Structures”, and
Section 15.6, “InnoDB On-Disk Structures”.
This section describes InnoDB
in-memory
structures and related topics.
The buffer pool is an area in main memory where caches table and index data as it is accessed. The buffer pool permits frequently used data to be processed directly from memory, which speeds up processing. On dedicated servers, up to 80% of physical memory is often assigned to the buffer pool.
For efficiency of high-volume read operations, the buffer pool is divided into pages that can potentially hold multiple rows. For efficiency of cache management, the buffer pool is implemented as a linked list of pages; data that is rarely used is aged out of the cache using a variation of the LRU algorithm.
Knowing how to take advantage of the buffer pool to keep frequently accessed data in memory is an important aspect of MySQL tuning.
The buffer pool is managed as a list using a variation of the least recently used (LRU) algorithm. When room is needed to add a new page to the buffer pool, the least recently used page is evicted and a new page is added to the middle of the list. This midpoint insertion strategy treats the list as two sublists:
At the head, a sublist of new (“young”) pages that were accessed recently
At the tail, a sublist of old pages that were accessed less recently
The algorithm keeps pages that are heavily used by queries in the new sublist. The old sublist contains less-used pages; these pages are candidates for eviction.
By default, the algorithm operates as follows:
3/8 of the buffer pool is devoted to the old sublist.
The midpoint of the list is the boundary where the tail of the new sublist meets the head of the old sublist.
When InnoDB
reads a page into the buffer
pool, it initially inserts it at the midpoint (the head of the
old sublist). A page can be read because it is required for a
user-specified operation such as an SQL query, or as part of a
read-ahead operation
performed automatically by InnoDB
.
Accessing a page in the old sublist makes it “young”, moving it to the head of the buffer pool (the head of the new sublist). If the page was read because it was required, the first access occurs immediately and the page is made young. If the page was read due to read-ahead, the first access does not occur immediately (and might not occur at all before the page is evicted).
As the database operates, pages in the buffer pool that are not accessed “age” by moving toward the tail of the list. Pages in both the new and old sublists age as other pages are made new. Pages in the old sublist also age as pages are inserted at the midpoint. Eventually, a page that remains unused reaches the tail of the old sublist and is evicted.
By default, pages read by queries immediately move into the new
sublist, meaning they stay in the buffer pool longer. A table scan
(such as performed for a mysqldump operation,
or a SELECT
statement with no
WHERE
clause) can bring a large amount of data
into the buffer pool and evict an equivalent amount of older data,
even if the new data is never used again. Similarly, pages that
are loaded by the read-ahead background thread and then accessed
only once move to the head of the new list. These situations can
push frequently used pages to the old sublist where they become
subject to eviction. For information about optimizing this
behavior, see
Section 15.8.3.3, “Making the Buffer Pool Scan Resistant”, and
Section 15.8.3.4, “Configuring InnoDB Buffer Pool Prefetching (Read-Ahead)”.
InnoDB
Standard Monitor output contains several
fields in the BUFFER POOL AND MEMORY
section
regarding operation of the buffer pool LRU algorithm. For details,
see Monitoring the Buffer Pool Using the InnoDB Standard Monitor.
You can configure the various aspects of the buffer pool to improve performance.
Ideally, you set the size of the buffer pool to as large a
value as practical, leaving enough memory for other processes
on the server to run without excessive paging. The larger the
buffer pool, the more InnoDB
acts like an
in-memory database, reading data from disk once and then
accessing the data from memory during subsequent reads. See
Section 15.8.3.1, “Configuring InnoDB Buffer Pool Size”.
On 64-bit systems with sufficient memory, you can split the buffer pool into multiple parts to minimize contention for memory structures among concurrent operations. For details, see Section 15.8.3.2, “Configuring Multiple Buffer Pool Instances”.
You can keep frequently accessed data in memory regardless of sudden spikes of activity from operations that would bring large amounts of infrequently accessed data into the buffer pool. For details, see Section 15.8.3.3, “Making the Buffer Pool Scan Resistant”.
You can control when and how to perform read-ahead requests to prefetch pages into the buffer pool asynchronously in anticipation that the pages will be needed soon. For details, see Section 15.8.3.4, “Configuring InnoDB Buffer Pool Prefetching (Read-Ahead)”.
You can control when background flushing occurs and whether or not the rate of flushing is dynamically adjusted based on workload. For details, see Section 15.8.3.5, “Configuring InnoDB Buffer Pool Flushing”.
You can fine-tune aspects of buffer pool flushing behavior to improve performance. For details, see Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”.
You can configure how InnoDB
preserves the
current buffer pool state to avoid a lengthy warmup period
after a server restart. For details, see
Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”.
InnoDB
Standard Monitor output, which can be
accessed using
SHOW
ENGINE INNODB STATUS
, provides metrics regarding
operation of the buffer pool. Buffer pool metrics are located in
the BUFFER POOL AND MEMORY
section of
InnoDB
Standard Monitor output and appear
similar to the following:
---------------------- BUFFER POOL AND MEMORY ---------------------- Total large memory allocated 2198863872 Dictionary memory allocated 776332 Buffer pool size 131072 Free buffers 124908 Database pages 5720 Old database pages 2071 Modified db pages 910 Pending reads 0 Pending writes: LRU 0, flush list 0, single page 0 Pages made young 4, not young 0 0.10 youngs/s, 0.00 non-youngs/s Pages read 197, created 5523, written 5060 0.00 reads/s, 190.89 creates/s, 244.94 writes/s Buffer pool hit rate 1000 / 1000, young-making rate 0 / 1000 not 0 / 1000 Pages read ahead 0.00/s, evicted without access 0.00/s, Random read ahead 0.00/s LRU len: 5720, unzip_LRU len: 0 I/O sum[0]:cur[0], unzip sum[0]:cur[0]
The following table describes buffer pool metrics reported by the
InnoDB
Standard Monitor.
Per second averages provided in InnoDB
Standard Monitor output are based on the elapsed time since
InnoDB
Standard Monitor output was last
printed.
Table 15.2 InnoDB Buffer Pool Metrics
Name | Description |
---|---|
Total memory allocated | The total memory allocated for the buffer pool in bytes. |
Dictionary memory allocated | The total memory allocated for the InnoDB data
dictionary in bytes. |
Buffer pool size | The total size in pages allocated to the buffer pool. |
Free buffers | The total size in pages of the buffer pool free list. |
Database pages | The total size in pages of the buffer pool LRU list. |
Old database pages | The total size in pages of the buffer pool old LRU sublist. |
Modified db pages | The current number of pages modified in the buffer pool. |
Pending reads | The number of buffer pool pages waiting to be read into the buffer pool. |
Pending writes LRU | The number of old dirty pages within the buffer pool to be written from the bottom of the LRU list. |
Pending writes flush list | The number of buffer pool pages to be flushed during checkpointing. |
Pending writes single page | The number of pending independent page writes within the buffer pool. |
Pages made young | The total number of pages made young in the buffer pool LRU list (moved to the head of sublist of “new” pages). |
Pages made not young | The total number of pages not made young in the buffer pool LRU list (pages that have remained in the “old” sublist without being made young). |
youngs/s | The per second average of accesses to old pages in the buffer pool LRU list that have resulted in making pages young. See the notes that follow this table for more information. |
non-youngs/s | The per second average of accesses to old pages in the buffer pool LRU list that have resulted in not making pages young. See the notes that follow this table for more information. |
Pages read | The total number of pages read from the buffer pool. |
Pages created | The total number of pages created within the buffer pool. |
Pages written | The total number of pages written from the buffer pool. |
reads/s | The per second average number of buffer pool page reads per second. |
creates/s | The per second average number of buffer pool pages created per second. |
writes/s | The per second average number of buffer pool page writes per second. |
Buffer pool hit rate | The buffer pool page hit rate for pages read from the buffer pool memory vs from disk storage. |
young-making rate | The average hit rate at which page accesses have resulted in making pages young. See the notes that follow this table for more information. |
not (young-making rate) | The average hit rate at which page accesses have not resulted in making pages young. See the notes that follow this table for more information. |
Pages read ahead | The per second average of read ahead operations. |
Pages evicted without access | The per second average of the pages evicted without being accessed from the buffer pool. |
Random read ahead | The per second average of random read ahead operations. |
LRU len | The total size in pages of the buffer pool LRU list. |
unzip_LRU len | The total size in pages of the buffer pool unzip_LRU list. |
I/O sum | The total number of buffer pool LRU list pages accessed, for the last 50 seconds. |
I/O cur | The total number of buffer pool LRU list pages accessed. |
I/O unzip sum | The total number of buffer pool unzip_LRU list pages accessed. |
I/O unzip cur | The total number of buffer pool unzip_LRU list pages accessed. |
Notes:
The youngs/s
metric is applicable only to
old pages. It is based on the number of accesses to pages and
not the number of pages. There can be multiple accesses to a
given page, all of which are counted. If you see very low
youngs/s
values when there are no large
scans occurring, you might need to reduce the delay time or
increase the percentage of the buffer pool used for the old
sublist. Increasing the percentage makes the old sublist
larger, so pages in that sublist take longer to move to the
tail, which increases the likelihood that those pages will be
accessed again and made young.
The non-youngs/s
metric is applicable only
to old pages. It is based on the number of accesses to pages
and not the number of pages. There can be multiple accesses to
a given page, all of which are counted. If you do not see a
higher non-youngs/s
value when performing
large table scans (and a higher youngs/s
value), increase the delay value.
The young-making
rate accounts for accesses
to all buffer pool pages, not just accesses to pages in the
old sublist. The young-making
rate and
not
rate do not normally add up to the
overall buffer pool hit rate. Page hits in the old sublist
cause pages to move to the new sublist, but page hits in the
new sublist cause pages to move to the head of the list only
if they are a certain distance from the head.
not (young-making rate)
is the average hit
rate at which page accesses have not resulted in making pages
young due to the delay defined by
innodb_old_blocks_time
not
being met, or due to page hits in the new sublist that did not
result in pages being moved to the head. This rate accounts
for accesses to all buffer pool pages, not just accesses to
pages in the old sublist.
Buffer pool server status
variables and the
INNODB_BUFFER_POOL_STATS
table
provide many of the same buffer pool metrics found in
InnoDB
Standard Monitor output. For more
information, see
Example 15.10, “Querying the INNODB_BUFFER_POOL_STATS Table”.
The change buffer is a special data structure that caches changes to
secondary index pages
when those pages are not in the
buffer pool. The buffered
changes, which may result from
INSERT
,
UPDATE
, or
DELETE
operations (DML), are merged
later when the pages are loaded into the buffer pool by other read
operations.
Unlike clustered indexes, secondary indexes are usually nonunique, and inserts into secondary indexes happen in a relatively random order. Similarly, deletes and updates may affect secondary index pages that are not adjacently located in an index tree. Merging cached changes at a later time, when affected pages are read into the buffer pool by other operations, avoids substantial random access I/O that would be required to read secondary index pages into the buffer pool from disk.
Periodically, the purge operation that runs when the system is mostly idle, or during a slow shutdown, writes the updated index pages to disk. The purge operation can write disk blocks for a series of index values more efficiently than if each value were written to disk immediately.
Change buffer merging may take several hours when there are many affected rows and numerous secondary indexes to update. During this time, disk I/O is increased, which can cause a significant slowdown for disk-bound queries. Change buffer merging may also continue to occur after a transaction is committed, and even after a server shutdown and restart (see Section 15.20.2, “Forcing InnoDB Recovery” for more information).
In memory, the change buffer occupies part of the buffer pool. On disk, the change buffer is part of the system tablespace, where index changes are buffered when the database server is shut down.
The type of data cached in the change buffer is governed by the
innodb_change_buffering
variable.
For more information, see
Configuring Change Buffering. You can also
configure the maximum change buffer size. For more information, see
Configuring the Change Buffer Maximum Size.
Change buffering is not supported for a secondary index if the index contains a descending index column or if the primary key includes a descending index column.
For answers to frequently asked questions about the change buffer, see Section A.15, “MySQL 8.0 FAQ: InnoDB Change Buffer”.
When INSERT
,
UPDATE
, and
DELETE
operations are performed on
a table, the values of indexed columns (particularly the values of
secondary keys) are often in an unsorted order, requiring
substantial I/O to bring secondary indexes up to date. The
change buffer caches
changes to secondary index entries when the relevant
page is not in the
buffer pool, thus avoiding
expensive I/O operations by not immediately reading in the page
from disk. The buffered changes are merged when the page is loaded
into the buffer pool, and the updated page is later flushed to
disk. The InnoDB
main thread merges buffered
changes when the server is nearly idle, and during a
slow shutdown.
Because it can result in fewer disk reads and writes, the change buffer feature is most valuable for workloads that are I/O-bound, for example applications with a high volume of DML operations such as bulk inserts.
However, the change buffer occupies a part of the buffer pool, reducing the memory available to cache data pages. If the working set almost fits in the buffer pool, or if your tables have relatively few secondary indexes, it may be useful to disable change buffering. If the working data set fits entirely within the buffer pool, change buffering does not impose extra overhead, because it only applies to pages that are not in the buffer pool.
You can control the extent to which InnoDB
performs change buffering using the
innodb_change_buffering
configuration parameter. You can enable or disable buffering for
inserts, delete operations (when index records are initially
marked for deletion) and purge operations (when index records are
physically deleted). An update operation is a combination of an
insert and a delete. The default
innodb_change_buffering
value is
all
.
Permitted innodb_change_buffering
values include:
all
The default value: buffer inserts, delete-marking operations, and purges.
none
Do not buffer any operations.
inserts
Buffer insert operations.
deletes
Buffer delete-marking operations.
changes
Buffer both inserts and delete-marking operations.
purges
Buffer the physical deletion operations that happen in the background.
You can set the
innodb_change_buffering
parameter
in the MySQL option file (my.cnf
or
my.ini
) or change it dynamically with the
SET GLOBAL
statement, which requires privileges sufficient to set global
system variables. See
Section 5.1.9.1, “System Variable Privileges”. Changing the setting
affects the buffering of new operations; the merging of existing
buffered entries is not affected.
The innodb_change_buffer_max_size
variable permits configuring the maximum size of the change buffer
as a percentage of the total size of the buffer pool. By default,
innodb_change_buffer_max_size
is
set to 25. The maximum setting is 50.
Consider increasing
innodb_change_buffer_max_size
on
a MySQL server with heavy insert, update, and delete activity,
where change buffer merging does not keep pace with new change
buffer entries, causing the change buffer to reach its maximum
size limit.
Consider decreasing
innodb_change_buffer_max_size
on
a MySQL server with static data used for reporting, or if the
change buffer consumes too much of the memory space shared with
the buffer pool, causing pages to age out of the buffer pool
sooner than desired.
Test different settings with a representative workload to
determine an optimal configuration. The
innodb_change_buffer_max_size
setting is dynamic, which permits modifying the setting without
restarting the server.
The following options are available for change buffer monitoring:
InnoDB
Standard Monitor output includes
change buffer status information. To view monitor data, issue
the SHOW ENGINE INNODB STATUS
statement.
mysql> SHOW ENGINE INNODB STATUS\G
Change buffer status information is located under the
INSERT BUFFER AND ADAPTIVE HASH INDEX
heading and appears similar to the following:
------------------------------------- INSERT BUFFER AND ADAPTIVE HASH INDEX ------------------------------------- Ibuf: size 1, free list len 0, seg size 2, 0 merges merged operations: insert 0, delete mark 0, delete 0 discarded operations: insert 0, delete mark 0, delete 0 Hash table size 4425293, used cells 32, node heap has 1 buffer(s) 13577.57 hash searches/s, 202.47 non-hash searches/s
For more information, see Section 15.16.3, “InnoDB Standard Monitor and Lock Monitor Output”.
The
INFORMATION_SCHEMA.INNODB_METRICS
table provides most of the data points found in
InnoDB
Standard Monitor output, plus other
data points. To view change buffer metrics and a description
of each, issue the following query:
mysql> SELECT NAME, COMMENT FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME LIKE '%ibuf%'\G
For INNODB_METRICS
table usage
information, see
Section 15.14.6, “InnoDB INFORMATION_SCHEMA Metrics Table”.
The
INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
table provides metadata about each page in the buffer pool,
including change buffer index and change buffer bitmap pages.
Change buffer pages are identified by
PAGE_TYPE
. IBUF_INDEX
is
the page type for change buffer index pages, and
IBUF_BITMAP
is the page type for change
buffer bitmap pages.
Querying the INNODB_BUFFER_PAGE
table can introduce significant performance overhead. To
avoid impacting performance, reproduce the issue you want to
investigate on a test instance and run your queries on the
test instance.
For example, you can query the
INNODB_BUFFER_PAGE
table to
determine the approximate number of
IBUF_INDEX
and
IBUF_BITMAP
pages as a percentage of total
buffer pool pages.
mysql>SELECT (SELECT COUNT(*) FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE PAGE_TYPE LIKE 'IBUF%') AS change_buffer_pages,
(SELECT COUNT(*) FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE) AS total_pages,
(SELECT ((change_buffer_pages/total_pages)*100))
AS change_buffer_page_percentage;
+---------------------+-------------+-------------------------------+ | change_buffer_pages | total_pages | change_buffer_page_percentage | +---------------------+-------------+-------------------------------+ | 25 | 8192 | 0.3052 | +---------------------+-------------+-------------------------------+
For information about other data provided by the
INNODB_BUFFER_PAGE
table, see
Section 25.39.1, “The INFORMATION_SCHEMA INNODB_BUFFER_PAGE Table”. For related usage
information, see
Section 15.14.5, “InnoDB INFORMATION_SCHEMA Buffer Pool Tables”.
Performance Schema provides change buffer mutex wait instrumentation for advanced performance monitoring. To view change buffer instrumentation, issue the following query:
mysql>SELECT * FROM performance_schema.setup_instruments
WHERE NAME LIKE '%wait/synch/mutex/innodb/ibuf%';
+-------------------------------------------------------+---------+-------+ | NAME | ENABLED | TIMED | +-------------------------------------------------------+---------+-------+ | wait/synch/mutex/innodb/ibuf_bitmap_mutex | YES | YES | | wait/synch/mutex/innodb/ibuf_mutex | YES | YES | | wait/synch/mutex/innodb/ibuf_pessimistic_insert_mutex | YES | YES | +-------------------------------------------------------+---------+-------+
For information about monitoring InnoDB
mutex waits, see
Section 15.15.2, “Monitoring InnoDB Mutex Waits Using Performance Schema”.
The adaptive hash index feature enables InnoDB
to perform more like an in-memory database on systems with
appropriate combinations of workload and sufficient memory for the
buffer pool without sacrificing transactional features or
reliability. The adaptive hash index feature is enabled by the
innodb_adaptive_hash_index
variable, or turned off at server startup by
--skip-innodb-adaptive-hash-index
.
Based on the observed pattern of searches, a hash index is built using a prefix of the index key. The prefix can be any length, and it may be that only some values in the B-tree appear in the hash index. Hash indexes are built on demand for the pages of the index that are accessed often.
If a table fits almost entirely in main memory, a hash index can
speed up queries by enabling direct lookup of any element, turning
the index value into a sort of pointer. InnoDB
has a mechanism that monitors index searches. If
InnoDB
notices that queries could benefit from
building a hash index, it does so automatically.
With some workloads, the speedup from hash index lookups greatly
outweighs the extra work to monitor index lookups and maintain the
hash index structure. Access to the adaptive hash index can
sometimes become a source of contention under heavy workloads,
such as multiple concurrent joins. Queries with
LIKE
operators and %
wildcards also tend not to benefit. For workloads that do not
benefit from the adaptive hash index feature, turning it off
reduces unnecessary performance overhead. Because it is difficult
to predict in advance whether the adaptive hash index feature is
appropriate for a particular system and workload, consider running
benchmarks with it enabled and disabled. Architectural changes in
MySQL 5.6 make it more suitable to disable the adaptive hash index
feature than in earlier releases.
The adaptive hash index feature is partitioned. Each index is
bound to a specific partition, and each partition is protected by
a separate latch. Partitioning is controlled by the
innodb_adaptive_hash_index_parts
variable. The
innodb_adaptive_hash_index_parts
variable is set to 8 by default. The maximum setting is 512.
You can monitor adaptive hash index use and contention in the
SEMAPHORES
section of
SHOW ENGINE INNODB
STATUS
output. If there are numerous threads waiting on
RW-latches created in btr0sea.c
, consider
increasing the number of adaptive hash index partitions or
disabling the adaptive hash index feature.
For information about the performance characteristics of hash indexes, see Section 8.3.9, “Comparison of B-Tree and Hash Indexes”.
The log buffer is the memory area that holds data to be written to
the log files on disk. Log buffer size is defined by the
innodb_log_buffer_size
variable.
The default size is 16MB. The contents of the log buffer are
periodically flushed to disk. A large log buffer enables large
transactions to run without the need to write redo log data to
disk before the transactions commit. Thus, if you have
transactions that update, insert, or delete many rows, increasing
the size of the log buffer saves disk I/O.
The
innodb_flush_log_at_trx_commit
variable controls how the contents of the log buffer are written
and flushed to disk. The
innodb_flush_log_at_timeout
variable controls log flushing frequency.
For related information, see Memory Configuration, and Section 8.5.4, “Optimizing InnoDB Redo Logging”.
This section describes InnoDB
on-disk structures
and related topics.
This section covers topics related to InnoDB
tables.
To create an InnoDB
table, use the
CREATE TABLE
statement.
CREATE TABLE t1 (a INT, b CHAR (20), PRIMARY KEY (a)) ENGINE=InnoDB;
You do not need to specify the ENGINE=InnoDB
clause if InnoDB
is defined as the default
storage engine, which it is by default. To check the default
storage engine, issue the following statement:
mysql> SELECT @@default_storage_engine;
+--------------------------+
| @@default_storage_engine |
+--------------------------+
| InnoDB |
+--------------------------+
You might still use ENGINE=InnoDB
clause if you
plan to use mysqldump or replication to replay
the CREATE TABLE
statement on a
server where the default storage engine is not
InnoDB
.
An InnoDB
table and its indexes can be created
in the system
tablespace, in a
file-per-table
tablespace, or in a
general tablespace.
When innodb_file_per_table
is
enabled, which is the default, an InnoDB
table
is implicitly created in an individual file-per-table tablespace.
Conversely, when
innodb_file_per_table
is
disabled, an InnoDB
table is implicitly created
in the InnoDB
system tablespace. To create a
table in a general tablespace, use
CREATE TABLE ...
TABLESPACE
syntax. For more information, see
Section 15.6.3.3, “General Tablespaces”.
When you create a table in a file-per-table tablespace, MySQL
creates an .ibd tablespace
file in a database directory under the MySQL data directory, by
default. A table created in the InnoDB
system
tablespace is created in an existing
ibdata file, which resides in
the MySQL data directory. A table created in a general tablespace
is created in an existing general tablespace
.ibd file. General tablespace
files can be created inside or outside of the MySQL data
directory. For more information, see
Section 15.6.3.3, “General Tablespaces”.
Internally, InnoDB
adds an entry for each table
to the data dictionary. The entry includes the database name. For
example, if table t1
is created in the
test
database, the data dictionary entry for
the database name is 'test/t1'
. This means you
can create a table of the same name (t1
) in a
different database, and the table names do not collide inside
InnoDB
.
The default row format for InnoDB
tables is
defined by the
innodb_default_row_format
configuration option, which has a default value of
DYNAMIC
.
Dynamic
and
Compressed
row format allow you to take advantage of
InnoDB
features such as table compression and
efficient off-page storage of long column values. To use these
row formats,
innodb_file_per_table
must be
enabled (the default).
SET GLOBAL innodb_file_per_table=1; CREATE TABLE t3 (a INT, b CHAR (20), PRIMARY KEY (a)) ROW_FORMAT=DYNAMIC; CREATE TABLE t4 (a INT, b CHAR (20), PRIMARY KEY (a)) ROW_FORMAT=COMPRESSED;
Alternatively, you can use
CREATE TABLE ...
TABLESPACE
syntax to create an
InnoDB
table in a general tablespace. General
tablespaces support all row formats. For more information, see
Section 15.6.3.3, “General Tablespaces”.
CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE ts1 ROW_FORMAT=DYNAMIC;
CREATE TABLE ...
TABLESPACE
syntax can also be used to create
InnoDB
tables with a
Dynamic
row format in the system tablespace,
alongside tables with a Compact
or
Redundant
row format.
CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE = innodb_system ROW_FORMAT=DYNAMIC;
For more information about InnoDB
row
formats, see Section 15.10, “InnoDB Row Formats”. For how to
determine the row format of an InnoDB
table
and the physical characteristics of InnoDB
row formats, see Section 15.10, “InnoDB Row Formats”.
Always define a primary
key for an InnoDB
table, specifying
the column or columns that:
Are referenced by the most important queries.
Are never left blank.
Never have duplicate values.
Rarely if ever change value once inserted.
For example, in a table containing information about people, you
would not create a primary key on (firstname,
lastname)
because more than one person can have the
same name, some people have blank last names, and sometimes
people change their names. With so many constraints, often there
is not an obvious set of columns to use as a primary key, so you
create a new column with a numeric ID to serve as all or part of
the primary key. You can declare an
auto-increment column
so that ascending values are filled in automatically as rows are
inserted:
# The value of ID can act like a pointer between related items in different tables. CREATE TABLE t5 (id INT AUTO_INCREMENT, b CHAR (20), PRIMARY KEY (id)); # The primary key can consist of more than one column. Any autoinc column must come first. CREATE TABLE t6 (id INT AUTO_INCREMENT, a INT, b CHAR (20), PRIMARY KEY (id,a));
Although the table works correctly without defining a primary
key, the primary key is involved with many aspects of
performance and is a crucial design aspect for any large or
frequently used table. It is recommended that you always specify
a primary key in the CREATE TABLE
statement. If you create the table, load data, and then run
ALTER TABLE
to add a primary key
later, that operation is much slower than defining the primary
key when creating the table.
To view the properties of an InnoDB
table,
issue a SHOW TABLE STATUS
statement:
mysql> SHOW TABLE STATUS FROM test LIKE 't%' \G;
*************************** 1. row ***************************
Name: t1
Engine: InnoDB
Version: 10
Row_format: Compact
Rows: 0
Avg_row_length: 0
Data_length: 16384
Max_data_length: 0
Index_length: 0
Data_free: 0
Auto_increment: NULL
Create_time: 2015-03-16 15:13:31
Update_time: NULL
Check_time: NULL
Collation: utf8mb4_0900_ai_ci
Checksum: NULL
Create_options:
Comment:
For information about SHOW TABLE
STATUS
output, see
Section 13.7.6.36, “SHOW TABLE STATUS Syntax”.
InnoDB
table properties may also be queried
using the InnoDB
Information Schema system
tables:
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_TABLES WHERE NAME='test/t1' \G
*************************** 1. row ***************************
TABLE_ID: 45
NAME: test/t1
FLAG: 1
N_COLS: 5
SPACE: 35
ROW_FORMAT: Compact
ZIP_PAGE_SIZE: 0
SPACE_TYPE: Single
For more information, see Section 15.14.3, “InnoDB INFORMATION_SCHEMA Schema Object Tables”.
This section describes techniques for moving or copying some or all
InnoDB
tables to a different server or instance.
For example, you might move an entire MySQL instance to a larger,
faster server; you might clone an entire MySQL instance to a new
replication slave server; you might copy individual tables to
another instance to develop and test an application, or to a data
warehouse server to produce reports.
On Windows, InnoDB
always stores database and
table names internally in lowercase. To move databases in a binary
format from Unix to Windows or from Windows to Unix, create all
databases and tables using lowercase names. A convenient way to
accomplish this is to add the following line to the
[mysqld]
section of your
my.cnf
or my.ini
file
before creating any databases or tables:
[mysqld] lower_case_table_names=1
It is prohibited to start the server with a
lower_case_table_names
setting
that is different from the setting used when the server was
initialized.
Techniques for moving or copying InnoDB
tables
include:
The transportable tablespaces feature uses
FLUSH
TABLES ... FOR EXPORT
to ready InnoDB
tables for copying from one server instance to another. To use this
feature, InnoDB
tables must be created with
innodb_file_per_table
set to
ON
so that each InnoDB
table
has its own tablespace. For usage information, see
Section 15.6.3.7, “Copying Tablespaces to Another Instance”.
The MySQL Enterprise Backup product lets you back up a running MySQL database with minimal disruption to operations while producing a consistent snapshot of the database. When MySQL Enterprise Backup is copying tables, reads and writes can continue. In addition, MySQL Enterprise Backup can create compressed backup files, and back up subsets of tables. In conjunction with the MySQL binary log, you can perform point-in-time recovery. MySQL Enterprise Backup is included as part of the MySQL Enterprise subscription.
For more details about MySQL Enterprise Backup, see Section 30.2, “MySQL Enterprise Backup Overview”.
You can move an InnoDB
database simply by copying
all the relevant files listed under "Cold Backups" in
Section 15.17.1, “InnoDB Backup”.
InnoDB
data and log files are binary-compatible
on all platforms having the same floating-point number format. If
the floating-point formats differ but you have not used
FLOAT
or
DOUBLE
data types in your tables,
then the procedure is the same: simply copy the relevant files.
When you move or copy file-per-table .ibd
files, the database directory name must be the same on the source
and destination systems. The table definition stored in the
InnoDB
shared tablespace includes the database
name. The transaction IDs and log sequence numbers stored in the
tablespace files also differ between databases.
To move an .ibd
file and the associated table
from one database to another, use a RENAME
TABLE
statement:
RENAME TABLEdb1.tbl_name
TOdb2.tbl_name
;
If you have a “clean” backup of an
.ibd
file, you can restore it to the MySQL
installation from which it originated as follows:
The table must not have been dropped or truncated since you
copied the .ibd
file, because doing so
changes the table ID stored inside the tablespace.
Issue this ALTER TABLE
statement
to delete the current .ibd
file:
ALTER TABLE tbl_name
DISCARD TABLESPACE;
Copy the backup .ibd
file to the proper
database directory.
Issue this ALTER TABLE
statement
to tell InnoDB
to use the new
.ibd
file for the table:
ALTER TABLE tbl_name
IMPORT TABLESPACE;
The ALTER TABLE
... IMPORT TABLESPACE
feature does not enforce
foreign key constraints on imported data.
In this context, a “clean” .ibd
file backup is one for which the following requirements are
satisfied:
There are no uncommitted modifications by transactions in the
.ibd
file.
There are no unmerged insert buffer entries in the
.ibd
file.
Purge has removed all delete-marked index records from the
.ibd
file.
mysqld has flushed all modified pages of the
.ibd
file from the buffer pool to the file.
You can make a clean backup .ibd
file using the
following method:
Stop all activity from the mysqld server and commit all transactions.
Wait until SHOW
ENGINE INNODB STATUS
shows that there are no active
transactions in the database, and the main thread status of
InnoDB
is Waiting for server
activity
. Then you can make a copy of the
.ibd
file.
Another method for making a clean copy of an
.ibd
file is to use the MySQL Enterprise Backup
product:
Use MySQL Enterprise Backup to back up the
InnoDB
installation.
Start a second mysqld server on the backup
and let it clean up the .ibd
files in the
backup.
You can use mysqldump to dump your tables on one machine and then import the dump files on the other machine. Using this method, it does not matter whether the formats differ or if your tables contain floating-point data.
One way to increase the performance of this method is to switch off autocommit mode when importing data, assuming that the tablespace has enough space for the big rollback segment that the import transactions generate. Do the commit only after importing a whole table or a segment of a table.
If you have MyISAM
tables that you want
to convert to InnoDB
for better
reliability and scalability, review the following guidelines and
tips before converting.
Partitioned MyISAM
tables created in previous
versions of MySQL are not compatible with MySQL 8.0.
Such tables must be prepared prior to upgrade, either by removing
the partitioning, or by converting them to
InnoDB
. See
Section 23.6.2, “Partitioning Limitations Relating to Storage Engines”, for
more information.
As you transition away from MyISAM
tables,
lower the value of the
key_buffer_size
configuration
option to free memory no longer needed for caching results.
Increase the value of the
innodb_buffer_pool_size
configuration option, which performs a similar role of allocating
cache memory for InnoDB
tables. The
InnoDB
buffer
pool caches both table data and index data, speeding up
lookups for queries and keeping query results in memory for reuse.
For guidance regarding buffer pool size configuration, see
Section 8.12.3.1, “How MySQL Uses Memory”.
Because MyISAM
tables do not support
transactions, you might
not have paid much attention to the
autocommit
configuration option
and the COMMIT
and
ROLLBACK
statements. These keywords are important to allow multiple
sessions to read and write InnoDB
tables
concurrently, providing substantial scalability benefits in
write-heavy workloads.
While a transaction is open, the system keeps a snapshot of the data as seen at the beginning of the transaction, which can cause substantial overhead if the system inserts, updates, and deletes millions of rows while a stray transaction keeps running. Thus, take care to avoid transactions that run for too long:
If you are using a mysql session for
interactive experiments, always
COMMIT
(to finalize the
changes) or
ROLLBACK
(to
undo the changes) when finished. Close down interactive
sessions rather than leave them open for long periods, to
avoid keeping transactions open for long periods by accident.
Make sure that any error handlers in your application also
ROLLBACK
incomplete changes or COMMIT
completed changes.
ROLLBACK
is
a relatively expensive operation, because
INSERT
,
UPDATE
, and
DELETE
operations are written
to InnoDB
tables prior to the
COMMIT
, with the expectation
that most changes are committed successfully and rollbacks are
rare. When experimenting with large volumes of data, avoid
making changes to large numbers of rows and then rolling back
those changes.
When loading large volumes of data with a sequence of
INSERT
statements, periodically
COMMIT
the results to avoid
having transactions that last for hours. In typical load
operations for data warehousing, if something goes wrong, you
truncate the table (using TRUNCATE
TABLE
) and start over from the beginning rather than
doing a
ROLLBACK
.
The preceding tips save memory and disk space that can be wasted
during too-long transactions. When transactions are shorter than
they should be, the problem is excessive I/O. With each
COMMIT
, MySQL makes sure each
change is safely recorded to disk, which involves some I/O.
For most operations on InnoDB
tables, you
should use the setting
autocommit=0
. From an
efficiency perspective, this avoids unnecessary I/O when you
issue large numbers of consecutive
INSERT
,
UPDATE
, or
DELETE
statements. From a
safety perspective, this allows you to issue a
ROLLBACK
statement to recover lost or garbled data if you make a
mistake on the mysql command line, or in an
exception handler in your application.
The time when autocommit=1
is
suitable for InnoDB
tables is when running
a sequence of queries for generating reports or analyzing
statistics. In this situation, there is no I/O penalty related
to COMMIT
or
ROLLBACK
,
and InnoDB
can
automatically
optimize the read-only workload.
If you make a series of related changes, finalize all the
changes at once with a single
COMMIT
at the end. For example,
if you insert related pieces of information into several
tables, do a single COMMIT
after making all the changes. Or if you run many consecutive
INSERT
statements, do a single
COMMIT
after all the data is
loaded; if you are doing millions of
INSERT
statements, perhaps
split up the huge transaction by issuing a
COMMIT
every ten thousand or
hundred thousand records, so the transaction does not grow too
large.
Remember that even a SELECT
statement opens a transaction, so after running some report or
debugging queries in an interactive mysql
session, either issue a COMMIT
or close the mysql session.
You might see warning messages referring to
“deadlocks” in the MySQL error log, or the output of
SHOW ENGINE INNODB
STATUS
. Despite the scary-sounding name, a
deadlock is not a serious
issue for InnoDB
tables, and often does not
require any corrective action. When two transactions start
modifying multiple tables, accessing the tables in a different
order, they can reach a state where each transaction is waiting
for the other and neither can proceed. When
deadlock detection
is enabled (the default), MySQL immediately detects this condition
and cancels (rolls back) the
“smaller” transaction, allowing the other to proceed.
If deadlock detection is disabled using the
innodb_deadlock_detect
configuration option, InnoDB
relies on the
innodb_lock_wait_timeout
setting
to roll back transactions in case of a deadlock.
Either way, your applications need error-handling logic to restart a transaction that is forcibly cancelled due to a deadlock. When you re-issue the same SQL statements as before, the original timing issue no longer applies. Either the other transaction has already finished and yours can proceed, or the other transaction is still in progress and your transaction waits until it finishes.
If deadlock warnings occur constantly, you might review the
application code to reorder the SQL operations in a consistent
way, or to shorten the transactions. You can test with the
innodb_print_all_deadlocks
option
enabled to see all deadlock warnings in the MySQL error log,
rather than only the last warning in the
SHOW ENGINE INNODB
STATUS
output.
For more information, see Section 15.7.5, “Deadlocks in InnoDB”.
To get the best performance from InnoDB
tables,
you can adjust a number of parameters related to storage layout.
When you convert MyISAM
tables that are large,
frequently accessed, and hold vital data, investigate and consider
the innodb_file_per_table
and
innodb_page_size
configuration
options, and the
ROW_FORMAT
and KEY_BLOCK_SIZE
clauses of the
CREATE TABLE
statement.
During your initial experiments, the most important setting is
innodb_file_per_table
. When this
setting is enabled, which is the default, new
InnoDB
tables are implicitly created in
file-per-table
tablespaces. In contrast with the InnoDB
system
tablespace, file-per-table tablespaces allow disk space to be
reclaimed by the operating system when a table is truncated or
dropped. File-per-table tablespaces also support
DYNAMIC and
COMPRESSED row
formats and associated features such as table compression,
efficient off-page storage for long variable-length columns, and
large index prefixes. For more information, see
Section 15.6.3.2, “File-Per-Table Tablespaces”.
You can also store InnoDB
tables in a shared
general tablespace, which support multiple tables and all row
formats. For more information, see
Section 15.6.3.3, “General Tablespaces”.
To convert a non-InnoDB
table to use
InnoDB
use ALTER
TABLE
:
ALTER TABLE table_name
ENGINE=InnoDB;
You might make an InnoDB
table that is a clone
of a MyISAM table, rather than using ALTER
TABLE
to perform conversion, to test the old and new
table side-by-side before switching.
Create an empty InnoDB
table with identical
column and index definitions. Use SHOW CREATE TABLE
to see the full
table_name
\GCREATE TABLE
statement to use.
Change the ENGINE
clause to
ENGINE=INNODB
.
To transfer a large volume of data into an empty
InnoDB
table created as shown in the previous
section, insert the rows with INSERT INTO
.
innodb_table
SELECT * FROM
myisam_table
ORDER BY
primary_key_columns
You can also create the indexes for the InnoDB
table after inserting the data. Historically, creating new
secondary indexes was a slow operation for InnoDB, but now you can
create the indexes after the data is loaded with relatively little
overhead from the index creation step.
If you have UNIQUE
constraints on secondary
keys, you can speed up a table import by turning off the
uniqueness checks temporarily during the import operation:
SET unique_checks=0;
... import operation ...
SET unique_checks=1;
For big tables, this saves disk I/O because
InnoDB
can use its
change buffer to write
secondary index records as a batch. Be certain that the data
contains no duplicate keys.
unique_checks
permits but does
not require storage engines to ignore duplicate keys.
For better control over the insertion process, you can insert big tables in pieces:
INSERT INTO newtable SELECT * FROM oldtable WHERE yourkey >something
AND yourkey <=somethingelse
;
After all records are inserted, you can rename the tables.
During the conversion of big tables, increase the size of the
InnoDB
buffer pool to reduce disk I/O, to a
maximum of 80% of physical memory. You can also increase the size
of InnoDB
log files.
If you intend to make several temporary copies of your data in
InnoDB
tables during the conversion process, it
is recommended that you create the tables in file-per-table
tablespaces so that you can reclaim the disk space when you drop
the tables. When the
innodb_file_per_table
configuration option is enabled (the default), newly created
InnoDB
tables are implicitly created in
file-per-table tablespaces.
Whether you convert the MyISAM
table directly
or create a cloned InnoDB
table, make sure that
you have sufficient disk space to hold both the old and new tables
during the process.
InnoDB
tables require
more disk space than MyISAM
tables.
If an ALTER TABLE
operation runs
out of space, it starts a rollback, and that can take hours if it
is disk-bound. For inserts, InnoDB
uses the
insert buffer to merge secondary index records to indexes in
batches. That saves a lot of disk I/O. For rollback, no such
mechanism is used, and the rollback can take 30 times longer than
the insertion.
In the case of a runaway rollback, if you do not have valuable data in your database, it may be advisable to kill the database process rather than wait for millions of disk I/O operations to complete. For the complete procedure, see Section 15.20.2, “Forcing InnoDB Recovery”.
The PRIMARY KEY
clause is a critical factor
affecting the performance of MySQL queries and the space usage for
tables and indexes. The primary key uniquely identifies a row in a
table. Every row in the table must have a primary key value, and
no two rows can have the same primary key value.
These are guidelines for the primary key, followed by more detailed explanations.
Declare a PRIMARY KEY
for each table.
Typically, it is the most important column that you refer to
in WHERE
clauses when looking up a single
row.
Declare the PRIMARY KEY
clause in the
original CREATE TABLE
statement, rather than adding it later through an
ALTER TABLE
statement.
Choose the column and its data type carefully. Prefer numeric columns over character or string ones.
Consider using an auto-increment column if there is not another stable, unique, non-null, numeric column to use.
An auto-increment column is also a good choice if there is any doubt whether the value of the primary key column could ever change. Changing the value of a primary key column is an expensive operation, possibly involving rearranging data within the table and within each secondary index.
Consider adding a primary key to any table that does not already have one. Use the smallest practical numeric type based on the maximum projected size of the table. This can make each row slightly more compact, which can yield substantial space savings for large tables. The space savings are multiplied if the table has any secondary indexes, because the primary key value is repeated in each secondary index entry. In addition to reducing data size on disk, a small primary key also lets more data fit into the buffer pool, speeding up all kinds of operations and improving concurrency.
If the table already has a primary key on some longer column, such
as a VARCHAR
, consider adding a new unsigned
AUTO_INCREMENT
column and switching the primary
key to that, even if that column is not referenced in queries.
This design change can produce substantial space savings in the
secondary indexes. You can designate the former primary key
columns as UNIQUE NOT NULL
to enforce the same
constraints as the PRIMARY KEY
clause, that is,
to prevent duplicate or null values across all those columns.
If you spread related information across multiple tables, typically each table uses the same column for its primary key. For example, a personnel database might have several tables, each with a primary key of employee number. A sales database might have some tables with a primary key of customer number, and other tables with a primary key of order number. Because lookups using the primary key are very fast, you can construct efficient join queries for such tables.
If you leave the PRIMARY KEY
clause out
entirely, MySQL creates an invisible one for you. It is a 6-byte
value that might be longer than you need, thus wasting space.
Because it is hidden, you cannot refer to it in queries.
The reliability and scalability features of
InnoDB
require more disk storage than
equivalent MyISAM
tables. You might change the
column and index definitions slightly, for better space
utilization, reduced I/O and memory consumption when processing
result sets, and better query optimization plans making efficient
use of index lookups.
If you do set up a numeric ID column for the primary key, use that
value to cross-reference with related values in any other tables,
particularly for join queries.
For example, rather than accepting a country name as input and
doing queries searching for the same name, do one lookup to
determine the country ID, then do other queries (or a single join
query) to look up relevant information across several tables.
Rather than storing a customer or catalog item number as a string
of digits, potentially using up several bytes, convert it to a
numeric ID for storing and querying. A 4-byte unsigned
INT
column can index over 4 billion
items (with the US meaning of billion: 1000 million). For the
ranges of the different integer types, see
Section 11.2.1, “Integer Types (Exact Value) - INTEGER, INT, SMALLINT, TINYINT,
MEDIUMINT, BIGINT”.
InnoDB
files require more care and planning
than MyISAM
files do.
You must not delete the
ibdata files that
represent the InnoDB
system
tablespace.
Methods of moving or copying InnoDB
tables
to a different server are described in
Section 15.6.1.2, “Moving or Copying InnoDB Tables”.
InnoDB
provides a configurable locking
mechanism that can significantly improve scalability and
performance of SQL statements that add rows to tables with
AUTO_INCREMENT
columns. To use the
AUTO_INCREMENT
mechanism with an
InnoDB
table, an
AUTO_INCREMENT
column must be defined as part
of an index such that it is possible to perform the equivalent of
an indexed SELECT
MAX(
lookup on the
table to obtain the maximum column value. Typically, this is
achieved by making the column the first column of some table
index.
ai_col
)
This section describes the behavior of
AUTO_INCREMENT
lock modes, usage implications
for different AUTO_INCREMENT
lock mode
settings, and how InnoDB
initializes the
AUTO_INCREMENT
counter.
This section describes the behavior of
AUTO_INCREMENT
lock modes used to generate
auto-increment values, and how each lock mode affects
replication. Auto-increment lock modes are configured at startup
using the
innodb_autoinc_lock_mode
configuration parameter.
The following terms are used in describing
innodb_autoinc_lock_mode
settings:
“INSERT
-like”
statements
All statements that generate new rows in a table, including
INSERT
,
INSERT ...
SELECT
, REPLACE
,
REPLACE ...
SELECT
, and LOAD
DATA
. Includes “simple-inserts”,
“bulk-inserts”, and “mixed-mode”
inserts.
“Simple inserts”
Statements for which the number of rows to be inserted can
be determined in advance (when the statement is initially
processed). This includes single-row and multiple-row
INSERT
and
REPLACE
statements that do
not have a nested subquery, but not
INSERT
... ON DUPLICATE KEY UPDATE
.
“Bulk inserts”
Statements for which the number of rows to be inserted (and
the number of required auto-increment values) is not known
in advance. This includes
INSERT ...
SELECT
,
REPLACE ...
SELECT
, and LOAD
DATA
statements, but not plain
INSERT
. InnoDB
assigns
new values for the AUTO_INCREMENT
column
one at a time as each row is processed.
“Mixed-mode inserts”
These are “simple insert” statements that
specify the auto-increment value for some (but not all) of
the new rows. An example follows, where
c1
is an
AUTO_INCREMENT
column of table
t1
:
INSERT INTO t1 (c1,c2) VALUES (1,'a'), (NULL,'b'), (5,'c'), (NULL,'d');
Another type of “mixed-mode insert” is
INSERT
... ON DUPLICATE KEY UPDATE
, which in the worst
case is in effect an INSERT
followed by a UPDATE
, where
the allocated value for the
AUTO_INCREMENT
column may or may not be
used during the update phase.
There are three possible settings for the
innodb_autoinc_lock_mode
configuration parameter. The settings are 0, 1, or 2, for
“traditional”, “consecutive”, or
“interleaved” lock mode, respectively. As of MySQL
8.0, interleaved lock mode
(innodb_autoinc_lock_mode=2
) is
the default setting. Prior to MySQL 8.0, consecutive lock mode
is the default
(innodb_autoinc_lock_mode=1
).
The default setting of interleaved lock mode in MySQL 8.0 reflects the change from statement-based replication to row based replication as the default replication type. Statement-based replication requires the consecutive auto-increment lock mode to ensure that auto-increment values are assigned in a predictable and repeatable order for a given sequence of SQL statements, whereas row-based replication is not sensitive to the execution order of SQL statements.
innodb_autoinc_lock_mode = 0
(“traditional” lock mode)
The traditional lock mode provides the same behavior that
existed before the
innodb_autoinc_lock_mode
configuration parameter was introduced in MySQL 5.1. The
traditional lock mode option is provided for backward
compatibility, performance testing, and working around
issues with “mixed-mode inserts”, due to possible
differences in semantics.
In this lock mode, all “INSERT-like” statements
obtain a special table-level AUTO-INC
lock for inserts into tables with
AUTO_INCREMENT
columns. This lock is
normally held to the end of the statement (not to the end of
the transaction) to ensure that auto-increment values are
assigned in a predictable and repeatable order for a given
sequence of INSERT
statements, and to ensure that auto-increment values
assigned by any given statement are consecutive.
In the case of statement-based replication, this means that
when an SQL statement is replicated on a slave server, the
same values are used for the auto-increment column as on the
master server. The result of execution of multiple
INSERT
statements is
deterministic, and the slave reproduces the same data as on
the master. If auto-increment values generated by multiple
INSERT
statements were
interleaved, the result of two concurrent
INSERT
statements would be
nondeterministic, and could not reliably be propagated to a
slave server using statement-based replication.
To make this clear, consider an example that uses this table:
CREATE TABLE t1 ( c1 INT(11) NOT NULL AUTO_INCREMENT, c2 VARCHAR(10) DEFAULT NULL, PRIMARY KEY (c1) ) ENGINE=InnoDB;
Suppose that there are two transactions running, each
inserting rows into a table with an
AUTO_INCREMENT
column. One transaction is
using an
INSERT ...
SELECT
statement that inserts 1000 rows, and
another is using a simple
INSERT
statement that inserts
one row:
Tx1: INSERT INTO t1 (c2) SELECT 1000 rows from another table ... Tx2: INSERT INTO t1 (c2) VALUES ('xxx');
InnoDB
cannot tell in advance how many
rows are retrieved from the
SELECT
in the
INSERT
statement in Tx1, and
it assigns the auto-increment values one at a time as the
statement proceeds. With a table-level lock, held to the end
of the statement, only one
INSERT
statement referring to
table t1
can execute at a time, and the
generation of auto-increment numbers by different statements
is not interleaved. The auto-increment value generated by
the Tx1
INSERT ...
SELECT
statement are consecutive, and the (single)
auto-increment value used by the
INSERT
statement in Tx2 are
either smaller or larger than all those used for Tx1,
depending on which statement executes first.
As long as the SQL statements execute in the same order when
replayed from the binary log (when using statement-based
replication, or in recovery scenarios), the results are the
same as they were when Tx1 and Tx2 first ran. Thus,
table-level locks held until the end of a statement make
INSERT
statements using
auto-increment safe for use with statement-based
replication. However, those table-level locks limit
concurrency and scalability when multiple transactions are
executing insert statements at the same time.
In the preceding example, if there were no table-level lock,
the value of the auto-increment column used for the
INSERT
in Tx2 depends on
precisely when the statement executes. If the
INSERT
of Tx2 executes while
the INSERT
of Tx1 is running
(rather than before it starts or after it completes), the
specific auto-increment values assigned by the two
INSERT
statements are
nondeterministic, and may vary from run to run.
Under the
consecutive
lock mode, InnoDB
can avoid using
table-level AUTO-INC
locks for
“simple insert” statements where the number of
rows is known in advance, and still preserve deterministic
execution and safety for statement-based replication.
If you are not using the binary log to replay SQL statements
as part of recovery or replication, the
interleaved
lock mode can be used to eliminate all use of table-level
AUTO-INC
locks for even greater
concurrency and performance, at the cost of permitting gaps
in auto-increment numbers assigned by a statement and
potentially having the numbers assigned by concurrently
executing statements interleaved.
innodb_autoinc_lock_mode = 1
(“consecutive” lock mode)
In this mode, “bulk inserts” use the special
AUTO-INC
table-level lock and hold it
until the end of the statement. This applies to all
INSERT ...
SELECT
,
REPLACE ...
SELECT
, and LOAD
DATA
statements. Only one statement holding the
AUTO-INC
lock can execute at a time. If
the source table of the bulk insert operation is different
from the target table, the AUTO-INC
lock
on the target table is taken after a shared lock is taken on
the first row selected from the source table. If the source
and target of the bulk insert operation are the same table,
the AUTO-INC
lock is taken after shared
locks are taken on all selected rows.
“Simple inserts” (for which the number of rows
to be inserted is known in advance) avoid table-level
AUTO-INC
locks by obtaining the required
number of auto-increment values under the control of a mutex
(a light-weight lock) that is only held for the duration of
the allocation process, not until the
statement completes. No table-level
AUTO-INC
lock is used unless an
AUTO-INC
lock is held by another
transaction. If another transaction holds an
AUTO-INC
lock, a “simple
insert” waits for the AUTO-INC
lock, as if it were a “bulk insert”.
This lock mode ensures that, in the presence of
INSERT
statements where the
number of rows is not known in advance (and where
auto-increment numbers are assigned as the statement
progresses), all auto-increment values assigned by any
“INSERT
-like”
statement are consecutive, and operations are safe for
statement-based replication.
Simply put, this lock mode significantly improves scalability while being safe for use with statement-based replication. Further, as with “traditional” lock mode, auto-increment numbers assigned by any given statement are consecutive. There is no change in semantics compared to “traditional” mode for any statement that uses auto-increment, with one important exception.
The exception is for “mixed-mode inserts”,
where the user provides explicit values for an
AUTO_INCREMENT
column for some, but not
all, rows in a multiple-row “simple insert”.
For such inserts, InnoDB
allocates more
auto-increment values than the number of rows to be
inserted. However, all values automatically assigned are
consecutively generated (and thus higher than) the
auto-increment value generated by the most recently executed
previous statement. “Excess” numbers are lost.
innodb_autoinc_lock_mode = 2
(“interleaved” lock mode)
In this lock mode, no
“INSERT
-like”
statements use the table-level AUTO-INC
lock, and multiple statements can execute at the same time.
This is the fastest and most scalable lock mode, but it is
not safe when using statement-based
replication or recovery scenarios when SQL statements are
replayed from the binary log.
In this lock mode, auto-increment values are guaranteed to
be unique and monotonically increasing across all
concurrently executing
“INSERT
-like”
statements. However, because multiple statements can be
generating numbers at the same time (that is, allocation of
numbers is interleaved across
statements), the values generated for the rows inserted by
any given statement may not be consecutive.
If the only statements executing are “simple inserts” where the number of rows to be inserted is known ahead of time, there are no gaps in the numbers generated for a single statement, except for “mixed-mode inserts”. However, when “bulk inserts” are executed, there may be gaps in the auto-increment values assigned by any given statement.
Using auto-increment with replication
If you are using statement-based replication, set
innodb_autoinc_lock_mode
to
0 or 1 and use the same value on the master and its slaves.
Auto-increment values are not ensured to be the same on the
slaves as on the master if you use
innodb_autoinc_lock_mode
=
2 (“interleaved”) or configurations where the
master and slaves do not use the same lock mode.
If you are using row-based or mixed-format replication, all of the auto-increment lock modes are safe, since row-based replication is not sensitive to the order of execution of the SQL statements (and the mixed format uses row-based replication for any statements that are unsafe for statement-based replication).
“Lost” auto-increment values and sequence gaps
In all lock modes (0, 1, and 2), if a transaction that
generated auto-increment values rolls back, those
auto-increment values are “lost”. Once a value
is generated for an auto-increment column, it cannot be
rolled back, whether or not the
“INSERT
-like”
statement is completed, and whether or not the containing
transaction is rolled back. Such lost values are not reused.
Thus, there may be gaps in the values stored in an
AUTO_INCREMENT
column of a table.
Specifying NULL or 0 for the
AUTO_INCREMENT
column
In all lock modes (0, 1, and 2), if a user specifies NULL or
0 for the AUTO_INCREMENT
column in an
INSERT
,
InnoDB
treats the row as if the value was
not specified and generates a new value for it.
Assigning a negative value to the
AUTO_INCREMENT
column
In all lock modes (0, 1, and 2), the behavior of the
auto-increment mechanism is not defined if you assign a
negative value to the AUTO_INCREMENT
column.
If the AUTO_INCREMENT
value becomes
larger than the maximum integer for the specified integer
type
In all lock modes (0, 1, and 2), the behavior of the auto-increment mechanism is not defined if the value becomes larger than the maximum integer that can be stored in the specified integer type.
Gaps in auto-increment values for “bulk inserts”
With
innodb_autoinc_lock_mode
set to 0 (“traditional”) or 1
(“consecutive”), the auto-increment values
generated by any given statement are consecutive, without
gaps, because the table-level AUTO-INC
lock is held until the end of the statement, and only one
such statement can execute at a time.
With
innodb_autoinc_lock_mode
set to 2 (“interleaved”), there may be gaps in
the auto-increment values generated by “bulk
inserts,” but only if there are concurrently
executing
“INSERT
-like”
statements.
For lock modes 1 or 2, gaps may occur between successive statements because for bulk inserts the exact number of auto-increment values required by each statement may not be known and overestimation is possible.
Auto-increment values assigned by “mixed-mode inserts”
Consider a “mixed-mode insert,” where a
“simple insert” specifies the auto-increment
value for some (but not all) resulting rows. Such a
statement behaves differently in lock modes 0, 1, and 2. For
example, assume c1
is an
AUTO_INCREMENT
column of table
t1
, and that the most recent
automatically generated sequence number is 100.
mysql>CREATE TABLE t1 (
->c1 INT UNSIGNED NOT NULL AUTO_INCREMENT PRIMARY KEY,
->c2 CHAR(1)
->) ENGINE = INNODB;
Now, consider the following “mixed-mode insert” statement:
mysql> INSERT INTO t1 (c1,c2) VALUES (1,'a'), (NULL,'b'), (5,'c'), (NULL,'d');
With
innodb_autoinc_lock_mode
set to 0 (“traditional”), the four new rows
are:
mysql> SELECT c1, c2 FROM t1 ORDER BY c2;
+-----+------+
| c1 | c2 |
+-----+------+
| 1 | a |
| 101 | b |
| 5 | c |
| 102 | d |
+-----+------+
The next available auto-increment value is 103 because the
auto-increment values are allocated one at a time, not all
at once at the beginning of statement execution. This result
is true whether or not there are concurrently executing
“INSERT
-like”
statements (of any type).
With
innodb_autoinc_lock_mode
set to 1 (“consecutive”), the four new rows are
also:
mysql> SELECT c1, c2 FROM t1 ORDER BY c2;
+-----+------+
| c1 | c2 |
+-----+------+
| 1 | a |
| 101 | b |
| 5 | c |
| 102 | d |
+-----+------+
However, in this case, the next available auto-increment
value is 105, not 103 because four auto-increment values are
allocated at the time the statement is processed, but only
two are used. This result is true whether or not there are
concurrently executing
“INSERT
-like”
statements (of any type).
With
innodb_autoinc_lock_mode
set to mode 2 (“interleaved”), the four new
rows are:
mysql>SELECT c1, c2 FROM t1 ORDER BY c2;
+-----+------+ | c1 | c2 | +-----+------+ | 1 | a | |x
| b | | 5 | c | |y
| d | +-----+------+
The values of x
and
y
are unique and larger than any
previously generated rows. However, the specific values of
x
and
y
depend on the number of
auto-increment values generated by concurrently executing
statements.
Finally, consider the following statement, issued when the most-recently generated sequence number is 100:
mysql> INSERT INTO t1 (c1,c2) VALUES (1,'a'), (NULL,'b'), (101,'c'), (NULL,'d');
With any
innodb_autoinc_lock_mode
setting, this statement generates a duplicate-key error
23000 (Can't write; duplicate key in
table
) because 101 is allocated for the row
(NULL, 'b')
and insertion of the row
(101, 'c')
fails.
Modifying AUTO_INCREMENT
column values in
the middle of a sequence of
INSERT
statements
In MySQL 5.7 and earlier, modifying an
AUTO_INCREMENT
column value in the middle
of a sequence of INSERT
statements could lead to “Duplicate entry”
errors. For example, if you performed an
UPDATE
operation that changed
an AUTO_INCREMENT
column value to a value
larger than the current maximum auto-increment value,
subsequent INSERT
operations
that did not specify an unused auto-increment value could
encounter “Duplicate entry” errors. In MySQL
8.0 and later, if you modify an
AUTO_INCREMENT
column value to a value
larger than the current maximum auto-increment value, the
new value is persisted, and subsequent
INSERT
operations allocate
auto-increment values starting from the new, larger value.
This behavior is demonstrated in the following example.
mysql>CREATE TABLE t1 (
->c1 INT NOT NULL AUTO_INCREMENT,
->PRIMARY KEY (c1)
->) ENGINE = InnoDB;
mysql>INSERT INTO t1 VALUES(0), (0), (3);
mysql>SELECT c1 FROM t1;
+----+ | c1 | +----+ | 1 | | 2 | | 3 | +----+ mysql>UPDATE t1 SET c1 = 4 WHERE c1 = 1;
mysql>SELECT c1 FROM t1;
+----+ | c1 | +----+ | 2 | | 3 | | 4 | +----+ mysql>INSERT INTO t1 VALUES(0);
mysql>SELECT c1 FROM t1;
+----+ | c1 | +----+ | 2 | | 3 | | 4 | | 5 | +----+
This section describes how InnoDB
initializes
AUTO_INCREMENT
counters.
If you specify an AUTO_INCREMENT
column for
an InnoDB
table, the in-memory table object
contains a special counter called the auto-increment counter
that is used when assigning new values for the column.
In MySQL 5.7 and earlier, the auto-increment counter is stored
only in main memory, not on disk. To initialize an
auto-increment counter after a server restart,
InnoDB
would execute the equivalent of the
following statement on the first insert into a table containing
an AUTO_INCREMENT
column.
SELECT MAX(ai_col) FROM table_name
FOR UPDATE;
In MySQL 8.0, this behavior is changed. The current maximum auto-increment counter value is written to the redo log each time it changes and is saved to an engine-private system table on each checkpoint. These changes make the current maximum auto-increment counter value persistent across server restarts.
On a server restart following a normal shutdown,
InnoDB
initializes the in-memory
auto-increment counter using the current maximum auto-increment
value stored in the data dictionary system table.
On a server restart during crash recovery,
InnoDB
initializes the in-memory
auto-increment counter using the current maximum auto-increment
value stored in the data dictionary system table and scans the
redo log for auto-increment counter values written since the
last checkpoint. If a redo-logged value is greater than the
in-memory counter value, the redo-logged value is applied.
However, in the case of a server crash, reuse of a previously
allocated auto-increment value cannot be guaranteed. Each time
the current maximum auto-increment value is changed due to an
INSERT
or
UPDATE
operation, the new value
is written to the redo log, but if the crash occurs before the
redo log is flushed to disk, the previously allocated value
could be reused when the auto-increment counter is initialized
after the server is restarted.
The only circumstance in which InnoDB
uses
the equivalent of a SELECT MAX(ai_col) FROM
statement in MySQL 8.0 and later to initialize an auto-increment
counter is when importing a
tablespace without a table_name
FOR UPDATE.cfg
metadata
file. Otherwise, the current maximum auto-increment counter
value is read from the .cfg
metadata file.
In MySQL 5.7 and earlier, a server restart cancels the effect of
the AUTO_INCREMENT = N
table option, which
may be used in a CREATE TABLE
or
ALTER TABLE
statement to set an initial
counter value or alter the existing counter value, respectively.
In MySQL 8.0, a server restart does not cancel the effect of the
AUTO_INCREMENT = N
table option. If you
initialize the auto-increment counter to a specific value, or if
you alter the auto-increment counter value to a larger value,
the new value is persisted across server restarts.
ALTER TABLE ...
AUTO_INCREMENT = N
can only change the
auto-increment counter value to a value larger than the
current maximum.
In MySQL 5.7 and earlier, a server restart immediately following
a ROLLBACK
operation could result in the reuse of auto-increment values
that were previously allocated to the rolled-back transaction,
effectively rolling back the current maximum auto-increment
value. In MySQL 8.0, the current maximum auto-increment value is
persisted, preventing the reuse of previously allocated values.
If a SHOW TABLE STATUS
statement
examines a table before the auto-increment counter is
initialized, InnoDB
opens the table and
initializes the counter value using the current maximum
auto-increment value that is stored in the data dictionary
system table. The value is stored in memory for use by later
inserts or updates. Initialization of the counter value uses a
normal exclusive-locking read on the table which lasts to the
end of the transaction. InnoDB
follows the
same procedure when initializing the auto-increment counter for
a newly created table that has a user-specified auto-increment
value that is greater than 0.
After the auto-increment counter is initialized, if you do not
explicitly specify an auto-increment value when inserting a row,
InnoDB
implicitly increments the counter and
assigns the new value to the column. If you insert a row that
explicitly specifies an auto-increment column value, and the
value is greater than the current maximum counter value, the
counter is set to the specified value.
InnoDB
uses the in-memory auto-increment
counter as long as the server runs. When the server is stopped
and restarted, InnoDB
reinitializes the
auto-increment counter, as described earlier.
The auto_increment_offset
configuration option determines the starting point for the
AUTO_INCREMENT
column value. The default
setting is 1.
The auto_increment_increment
configuration option controls the interval between successive
column values. The default setting is 1.
How the InnoDB
storage engine handles foreign
key constraints is described under the following topics in this
section:
For foreign key usage information and examples, see Section 13.1.20.6, “Using FOREIGN KEY Constraints”.
Foreign key definitions for InnoDB
tables are
subject to the following conditions:
InnoDB
permits a foreign key to reference
any index column or group of columns. However, in the
referenced table, there must be an index where the
referenced columns are listed as the
first columns in the same order.
InnoDB
does not currently
support foreign keys for tables with user-defined
partitioning. This means that no user-partitioned
InnoDB
table may contain foreign key
references or columns referenced by foreign keys.
InnoDB
allows a foreign key constraint to
reference a nonunique key. This is an
InnoDB
extension to standard
SQL.
Referential actions for foreign keys of
InnoDB
tables are subject to the following
conditions:
While SET DEFAULT
is allowed by the MySQL
Server, it is rejected as invalid by
InnoDB
. CREATE
TABLE
and ALTER
TABLE
statements using this clause are not allowed
for InnoDB tables.
If there are several rows in the parent table that have the
same referenced key value, InnoDB
acts in
foreign key checks as if the other parent rows with the same
key value do not exist. For example, if you have defined a
RESTRICT
type constraint, and there is a
child row with several parent rows,
InnoDB
does not permit the deletion of
any of those parent rows.
InnoDB
performs cascading operations
through a depth-first algorithm, based on records in the
indexes corresponding to the foreign key constraints.
If ON UPDATE CASCADE
or ON
UPDATE SET NULL
recurses to update the
same table it has previously updated
during the cascade, it acts like
RESTRICT
. This means that you cannot use
self-referential ON UPDATE CASCADE
or
ON UPDATE SET NULL
operations. This is to
prevent infinite loops resulting from cascaded updates. A
self-referential ON DELETE SET NULL
, on
the other hand, is possible, as is a self-referential
ON DELETE CASCADE
. Cascading operations
may not be nested more than 15 levels deep.
Like MySQL in general, in an SQL statement that inserts,
deletes, or updates many rows, InnoDB
checks UNIQUE
and FOREIGN
KEY
constraints row-by-row. When performing
foreign key checks, InnoDB
sets shared
row-level locks on child or parent records it has to look
at. InnoDB
checks foreign key constraints
immediately; the check is not deferred to transaction
commit. According to the SQL standard, the default behavior
should be deferred checking. That is, constraints are only
checked after the entire SQL statement
has been processed. Until InnoDB
implements deferred constraint checking, some things are
impossible, such as deleting a record that refers to itself
using a foreign key.
A foreign key constraint on a
stored
generated column cannot use ON UPDATE
CASCADE
, ON DELETE SET NULL
,
ON UPDATE SET NULL
, ON DELETE
SET DEFAULT
, or ON UPDATE SET
DEFAULT
.
A foreign key constraint cannot reference a virtual generated column.
Prior to MySQL 8.0, a foreign key constraint cannot reference a secondary index defined on a virtual generated column.
Limits on InnoDB
tables are described under the
following topics in this section:
Before using NFS with InnoDB
, review
potential issues outlined in Using NFS with MySQL.
A table can contain a maximum of 1017 columns. Virtual generated columns are included in this limit.
A table can contain a maximum of 64 secondary indexes.
The index key prefix length limit is 3072 bytes for
InnoDB
tables that use
DYNAMIC
or
COMPRESSED
row format.
The index key prefix length limit is 767 bytes for
InnoDB
tables that use
REDUNDANT
or
COMPACT
row format. For example, you might hit this limit with a
column prefix
index of more than 191 characters on a
TEXT
or VARCHAR
column, assuming a utf8mb4
character set
and the maximum of 4 bytes for each character.
Attempting to use an index key prefix length that exceeds the limit returns an error.
The limits that apply to index key prefixes also apply to full-column index keys.
If you reduce the InnoDB
page size to 8KB or
4KB by specifying the
innodb_page_size
option
when creating the MySQL instance, the maximum length of the
index key is lowered proportionally, based on the limit of
3072 bytes for a 16KB page size. That is, the maximum index
key length is 1536 bytes when the page size is 8KB, and 768
bytes when the page size is 4KB.
A maximum of 16 columns is permitted for multicolumn indexes. Exceeding the limit returns an error.
ERROR 1070 (42000): Too many key parts specified; max 16 parts allowed
The maximum row length, except for variable-length columns
(VARBINARY
,
VARCHAR
,
BLOB
and
TEXT
), is slightly less than
half of a page for 4KB, 8KB, 16KB, and 32KB page sizes. For
example, the maximum row length for the default
innodb_page_size
of 16KB is
about 8000 bytes. For an InnoDB
page size
of 64KB, the maximum row length is about 16000 bytes.
LONGBLOB
and
LONGTEXT
columns must be less than 4GB, and the total row length,
including BLOB
and
TEXT
columns, must be less
than 4GB.
If a row is less than half a page long, all of it is stored locally within the page. If it exceeds half a page, variable-length columns are chosen for external off-page storage until the row fits within half a page, as described in Section 15.11.2, “File Space Management”.
Although InnoDB
supports row sizes larger
than 65,535 bytes internally, MySQL itself imposes a
row-size limit of 65,535 for the combined size of all
columns:
mysql>CREATE TABLE t (a VARCHAR(8000), b VARCHAR(10000),
->c VARCHAR(10000), d VARCHAR(10000), e VARCHAR(10000),
->f VARCHAR(10000), g VARCHAR(10000)) ENGINE=InnoDB;
ERROR 1118 (42000): Row size too large. The maximum row size for the used table type, not counting BLOBs, is 65535. You have to change some columns to TEXT or BLOBs
See Section C.10.4, “Limits on Table Column Count and Row Size”.
On some older operating systems, files must be less than
2GB. This is not a limitation of InnoDB
itself, but if you require a large tablespace, configure it
using several smaller data files rather than one large data
file.
The combined size of the InnoDB
log files
can be up to 512GB.
The minimum tablespace size is slightly larger than 10MB.
The maximum tablespace size depends on the
InnoDB
page size.
Table 15.3 InnoDB Maximum Tablespace Size
InnoDB Page Size | Maximum Tablespace Size |
---|---|
4KB | 16TB |
8KB | 32TB |
16KB | 64TB |
32KB | 128TB |
64KB | 256TB |
The maximum tablespace size is also the maximum size for a table.
The path of a tablespace file, including the file name,
cannot exceed the MAX_PATH
limit on
Windows. Prior to Windows 10, the
MAX_PATH
limit is 260 characters. As of
Windows 10, version 1607, MAX_PATH
limitations are removed from common Win32 file and directory
functions, but you must enable the new behavior.
The default page size in InnoDB
is 16KB.
You can increase or decrease the page size by configuring
the innodb_page_size
option
when creating the MySQL instance.
32KB and 64KB page sizes are supported, but
ROW_FORMAT=COMPRESSED
is unsupported for
page sizes greater than 16KB. For both 32KB and 64KB page
sizes, the maximum record size is 16KB. For
innodb_page_size=32KB
,
extent size is 2MB. For
innodb_page_size=64KB
,
extent size is 4MB.
A MySQL instance using a particular
InnoDB
page size cannot use data files or
log files from an instance that uses a different page size.
ANALYZE TABLE
determines
index cardinality (as displayed in the
Cardinality
column of
SHOW INDEX
output) by
performing random
dives on each of the index trees and updating index
cardinality estimates accordingly. Because these are only
estimates, repeated runs of ANALYZE
TABLE
could produce different numbers. This makes
ANALYZE TABLE
fast on
InnoDB
tables but not 100% accurate
because it does not take all rows into account.
You can make the
statistics collected
by ANALYZE TABLE
more precise
and more stable by turning on the
innodb_stats_persistent
configuration option, as explained in
Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”. When that setting
is enabled, it is important to run
ANALYZE TABLE
after major
changes to indexed column data, because the statistics are
not recalculated periodically (such as after a server
restart).
If the persistent statistics setting is enabled, you can
change the number of random dives by modifying the
innodb_stats_persistent_sample_pages
system variable. If the persistent statistics setting is
disabled, modify the
innodb_stats_transient_sample_pages
system variable instead.
MySQL uses index cardinality estimates in join optimization.
If a join is not optimized in the right way, try using
ANALYZE TABLE
. In the few
cases that ANALYZE TABLE
does
not produce values good enough for your particular tables,
you can use FORCE INDEX
with your queries
to force the use of a particular index, or set the
max_seeks_for_key
system
variable to ensure that MySQL prefers index lookups over
table scans. See Section B.6.5, “Optimizer-Related Issues”.
If statements or transactions are running on a table, and
ANALYZE TABLE
is run on the
same table followed by a second ANALYZE
TABLE
operation, the second
ANALYZE TABLE
operation is
blocked until the statements or transactions are completed.
This behavior occurs because ANALYZE
TABLE
marks the currently loaded table definition
as obsolete when ANALYZE
TABLE
is finished running. New statements or
transactions (including a second
ANALYZE TABLE
statement) must
load the new table definition into the table cache, which
cannot occur until currently running statements or
transactions are completed and the old table definition is
purged. Loading multiple concurrent table definitions is not
supported.
SHOW TABLE STATUS
does not
give accurate statistics on InnoDB
tables
except for the physical size reserved by the table. The row
count is only a rough estimate used in SQL optimization.
InnoDB
does not keep an internal count of
rows in a table because concurrent transactions might
“see” different numbers of rows at the same
time. Consequently, SELECT COUNT(*)
statements only count rows visible to the current
transaction.
For information about how InnoDB
processes SELECT COUNT(*)
statements,
refer to the COUNT()
description in Section 12.20.1, “Aggregate (GROUP BY) Function Descriptions”.
On Windows, InnoDB
always stores database
and table names internally in lowercase. To move databases
in a binary format from Unix to Windows or from Windows to
Unix, create all databases and tables using lowercase names.
An AUTO_INCREMENT
column
ai_col
must be defined as part of
an index such that it is possible to perform the equivalent
of an indexed SELECT
MAX(
lookup on
the table to obtain the maximum column value. Typically,
this is achieved by making the column the first column of
some table index.
ai_col
)
InnoDB
sets an exclusive lock on the end
of the index associated with the
AUTO_INCREMENT
column while initializing
a previously specified AUTO_INCREMENT
column on a table.
With
innodb_autoinc_lock_mode=0
,
InnoDB
uses a special
AUTO-INC
table lock mode where the lock
is obtained and held to the end of the current SQL statement
while accessing the auto-increment counter. Other clients
cannot insert into the table while the
AUTO-INC
table lock is held. The same
behavior occurs for “bulk inserts” with
innodb_autoinc_lock_mode=1
.
Table-level AUTO-INC
locks are not used
with
innodb_autoinc_lock_mode=2
.
For more information, See
Section 15.6.1.4, “AUTO_INCREMENT Handling in InnoDB”.
When an AUTO_INCREMENT
integer column
runs out of values, a subsequent INSERT
operation returns a duplicate-key error. This is general
MySQL behavior.
DELETE FROM
does not
regenerate the table but instead deletes all rows, one by
one.
tbl_name
Cascaded foreign key actions do not activate triggers.
You cannot create a table with a column name that matches
the name of an internal InnoDB
column
(including DB_ROW_ID
,
DB_TRX_ID
,
DB_ROLL_PTR
, and
DB_MIX_ID
). This restriction applies to
use of the names in any letter case.
mysql> CREATE TABLE t1 (c1 INT, db_row_id INT) ENGINE=INNODB;
ERROR 1166 (42000): Incorrect column name 'db_row_id'
LOCK TABLES
acquires two
locks on each table if
innodb_table_locks=1
(the default). In
addition to a table lock on the MySQL layer, it also
acquires an InnoDB
table lock. Versions
of MySQL before 4.1.2 did not acquire
InnoDB
table locks; the old behavior can
be selected by setting
innodb_table_locks=0
. If no
InnoDB
table lock is acquired,
LOCK TABLES
completes even if
some records of the tables are being locked by other
transactions.
In MySQL 8.0,
innodb_table_locks=0
has no
effect for tables locked explicitly with
LOCK TABLES ...
WRITE
. It does have an effect for tables locked
for read or write by
LOCK TABLES ...
WRITE
implicitly (for example, through triggers)
or by LOCK
TABLES ... READ
.
All InnoDB
locks held by a transaction
are released when the transaction is committed or aborted.
Thus, it does not make much sense to invoke
LOCK TABLES
on
InnoDB
tables in
autocommit=1
mode because
the acquired InnoDB
table locks would be
released immediately.
You cannot lock additional tables in the middle of a
transaction because LOCK
TABLES
performs an implicit
COMMIT
and
UNLOCK
TABLES
.
For limits associated with concurrent read-write transactions, see Section 15.6.6, “Undo Logs”.
This section covers topics related to InnoDB
indexes.
Every InnoDB
table has a special index called
the clustered index
where the data for the rows is stored. Typically, the clustered
index is synonymous with the
primary key. To get the
best performance from queries, inserts, and other database
operations, you must understand how InnoDB
uses
the clustered index to optimize the most common lookup and DML
operations for each table.
When you define a PRIMARY KEY
on your
table, InnoDB
uses it as the clustered
index. Define a primary key for each table that you create. If
there is no logical unique and non-null column or set of
columns, add a new
auto-increment
column, whose values are filled in automatically.
If you do not define a PRIMARY KEY
for your
table, MySQL locates the first UNIQUE
index
where all the key columns are NOT NULL
and
InnoDB
uses it as the clustered index.
If the table has no PRIMARY KEY
or suitable
UNIQUE
index, InnoDB
internally generates a hidden clustered index named
GEN_CLUST_INDEX
on a synthetic column
containing row ID values. The rows are ordered by the ID that
InnoDB
assigns to the rows in such a table.
The row ID is a 6-byte field that increases monotonically as
new rows are inserted. Thus, the rows ordered by the row ID
are physically in insertion order.
Accessing a row through the clustered index is fast because the index search leads directly to the page with all the row data. If a table is large, the clustered index architecture often saves a disk I/O operation when compared to storage organizations that store row data using a different page from the index record.
All indexes other than the clustered index are known as
secondary indexes.
In InnoDB
, each record in a secondary index
contains the primary key columns for the row, as well as the
columns specified for the secondary index.
InnoDB
uses this primary key value to search
for the row in the clustered index.
If the primary key is long, the secondary indexes use more space, so it is advantageous to have a short primary key.
For guidelines to take advantage of InnoDB
clustered and secondary indexes, see
Section 8.3, “Optimization and Indexes”.
With the exception of spatial indexes, InnoDB
indexes are B-tree data
structures. Spatial indexes use
R-trees, which are specialized
data structures for indexing multi-dimensional data. Index records
are stored in the leaf pages of their B-tree or R-tree data
structure. The default size of an index page is 16KB.
When new records are inserted into an InnoDB
clustered index,
InnoDB
tries to leave 1/16 of the page free for
future insertions and updates of the index records. If index
records are inserted in a sequential order (ascending or
descending), the resulting index pages are about 15/16 full. If
records are inserted in a random order, the pages are from 1/2 to
15/16 full.
InnoDB
performs a bulk load when creating or
rebuilding B-tree indexes. This method of index creation is known
as a sorted index build. The
innodb_fill_factor
configuration
option defines the percentage of space on each B-tree page that is
filled during a sorted index build, with the remaining space
reserved for future index growth. Sorted index builds are not
supported for spatial indexes. For more information, see
Section 15.6.2.3, “Sorted Index Builds”. An
innodb_fill_factor
setting of 100
leaves 1/16 of the space in clustered index pages free for future
index growth.
If the fill factor of an InnoDB
index page
drops below the MERGE_THRESHOLD
, which is 50%
by default if not specified, InnoDB
tries to
contract the index tree to free the page. The
MERGE_THRESHOLD
setting applies to both B-tree
and R-tree indexes. For more information, see
Section 15.8.11, “Configuring the Merge Threshold for Index Pages”.
You can define the page size
for all InnoDB
tablespaces in a MySQL instance
by setting the innodb_page_size
configuration option prior to initializing the MySQL instance.
Once the page size for an instance is defined, you cannot change
it without reinitializing the instance. Supported sizes are 64KB,
32KB, 16KB (default), 8KB, and 4KB.
A MySQL instance using a particular InnoDB
page
size cannot use data files or log files from an instance that uses
a different page size.
InnoDB
performs a bulk load instead of
inserting one index record at a time when creating or rebuilding
indexes. This method of index creation is also known as a sorted
index build. Sorted index builds are not supported for spatial
indexes.
There are three phases to an index build. In the first phase, the clustered index is scanned, and index entries are generated and added to the sort buffer. When the sort buffer becomes full, entries are sorted and written out to a temporary intermediate file. This process is also known as a “run”. In the second phase, with one or more runs written to the temporary intermediate file, a merge sort is performed on all entries in the file. In the third and final phase, the sorted entries are inserted into the B-tree.
Prior to the introduction of sorted index builds, index entries were inserted into the B-tree one record at a time using insert APIs. This method involved opening a B-tree cursor to find the insert position and then inserting entries into a B-tree page using an optimistic insert. If an insert failed due to a page being full, a pessimistic insert would be performed, which involves opening a B-tree cursor and splitting and merging B-tree nodes as necessary to find space for the entry. The drawbacks of this “top-down” method of building an index are the cost of searching for an insert position and the constant splitting and merging of B-tree nodes.
Sorted index builds use a “bottom-up” approach to building an index. With this approach, a reference to the right-most leaf page is held at all levels of the B-tree. The right-most leaf page at the necessary B-tree depth is allocated and entries are inserted according to their sorted order. Once a leaf page is full, a node pointer is appended to the parent page and a sibling leaf page is allocated for the next insert. This process continues until all entries are inserted, which may result in inserts up to the root level. When a sibling page is allocated, the reference to the previously pinned leaf page is released, and the newly allocated leaf page becomes the right-most leaf page and new default insert location.
To set aside space for future index growth, you can use the
innodb_fill_factor
configuration
option to reserve a percentage of B-tree page space. For example,
setting innodb_fill_factor
to 80
reserves 20 percent of the space in B-tree pages during a sorted
index build. This setting applies to both B-tree leaf and non-leaf
pages. It does not apply to external pages used for
TEXT
or
BLOB
entries. The amount of space
that is reserved may not be exactly as configured, as the
innodb_fill_factor
value is
interpreted as a hint rather than a hard limit.
Sorted index builds are supported for fulltext indexes. Previously, SQL was used to insert entries into a fulltext index.
For compressed tables, the previous index creation method appended entries to both compressed and uncompressed pages. When the modification log (representing free space on the compressed page) became full, the compressed page would be recompressed. If compression failed due to a lack of space, the page would be split. With sorted index builds, entries are only appended to uncompressed pages. When an uncompressed page becomes full, it is compressed. Adaptive padding is used to ensure that compression succeeds in most cases, but if compression fails, the page is split and compression is attempted again. This process continues until compression is successful. For more information about compression of B-Tree pages, see Section 15.9.1.5, “How Compression Works for InnoDB Tables”.
Redo logging is disabled during a sorted index build. Instead, there is a checkpoint to ensure that the index build can withstand a crash or failure. The checkpoint forces a write of all dirty pages to disk. During a sorted index build, the page cleaner thread is signaled periodically to flush dirty pages to ensure that the checkpoint operation can be processed quickly. Normally, the page cleaner thread flushes dirty pages when the number of clean pages falls below a set threshold. For sorted index builds, dirty pages are flushed promptly to reduce checkpoint overhead and to parallelize I/O and CPU activity.
Sorted index builds may result in optimizer statistics that differ from those generated by the previous method of index creation. The difference in statistics, which is not expected to affect workload performance, is due to the different algorithm used to populate the index.
FULLTEXT
indexes are created on text-based
columns (CHAR
,
VARCHAR
, or
TEXT
columns) to help speed up
queries and DML operations on data contained within those columns,
omitting any words that are defined as stopwords.
A FULLTEXT
index is defined as part of a
CREATE TABLE
statement or added to
an existing table using ALTER TABLE
or CREATE INDEX
.
Full-text search is performed using MATCH()
... AGAINST
syntax. For usage information, see
Section 12.9, “Full-Text Search Functions”.
InnoDB
FULLTEXT
indexes are
described under the following topics in this section:
InnoDB
FULLTEXT
indexes
have an inverted index design. Inverted indexes store a list of
words, and for each word, a list of documents that the word
appears in. To support proximity search, position information
for each word is also stored, as a byte offset.
When creating an InnoDB
FULLTEXT
index, a set of index tables is
created, as shown in the following example:
mysql>CREATE TABLE opening_lines (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
opening_line TEXT(500),
author VARCHAR(200),
title VARCHAR(200),
FULLTEXT idx (opening_line)
) ENGINE=InnoDB;
mysql>SELECT table_id, name, space from INFORMATION_SCHEMA.INNODB_TABLES
WHERE name LIKE 'test/%';
+----------+----------------------------------------------------+-------+ | table_id | name | space | +----------+----------------------------------------------------+-------+ | 333 | test/fts_0000000000000147_00000000000001c9_index_1 | 289 | | 334 | test/fts_0000000000000147_00000000000001c9_index_2 | 290 | | 335 | test/fts_0000000000000147_00000000000001c9_index_3 | 291 | | 336 | test/fts_0000000000000147_00000000000001c9_index_4 | 292 | | 337 | test/fts_0000000000000147_00000000000001c9_index_5 | 293 | | 338 | test/fts_0000000000000147_00000000000001c9_index_6 | 294 | | 330 | test/fts_0000000000000147_being_deleted | 286 | | 331 | test/fts_0000000000000147_being_deleted_cache | 287 | | 332 | test/fts_0000000000000147_config | 288 | | 328 | test/fts_0000000000000147_deleted | 284 | | 329 | test/fts_0000000000000147_deleted_cache | 285 | | 327 | test/opening_lines | 283 | +----------+----------------------------------------------------+-------+
The first six tables represent the inverted index and are
referred to as auxiliary index tables. When incoming documents
are tokenized, the individual words (also referred to as
“tokens”) are inserted into the index tables along
with position information and the associated Document ID
(DOC_ID
). The words are fully sorted and
partitioned among the six index tables based on the character
set sort weight of the word's first character.
The inverted index is partitioned into six auxiliary index
tables to support parallel index creation. By default, two
threads tokenize, sort, and insert words and associated data
into the index tables. The number of threads is configurable
using the
innodb_ft_sort_pll_degree
option. Consider increasing the number of threads when creating
FULLTEXT
indexes on large tables.
Auxiliary index table names are prefixed with
fts_
and postfixed with
index_*
. Each index table is associated with
the indexed table by a hex value in the index table name that
matches the table_id
of the indexed table.
For example, the table_id
of the
test/opening_lines
table is
327
, for which the hex value is 0x147. As
shown in the preceding example, the “147” hex value
appears in the names of index tables that are associated with
the test/opening_lines
table.
A hex value representing the index_id
of the
FULLTEXT
index also appears in auxiliary
index table names. For example, in the auxiliary table name
test/fts_0000000000000147_00000000000001c9_index_1
,
the hex value 1c9
has a decimal value of 457.
The index defined on the opening_lines
table
(idx
) can be identified by querying the
INFORMATION_SCHEMA.INNODB_INDEXES
table for this value (457).
mysql>SELECT index_id, name, table_id, space from INFORMATION_SCHEMA.INNODB_INDEXES
WHERE index_id=457;
+----------+------+----------+-------+ | index_id | name | table_id | space | +----------+------+----------+-------+ | 457 | idx | 327 | 283 | +----------+------+----------+-------+
Index tables are stored in their own tablespace if the primary table is created in a file-per-table tablespace.
The other index tables shown in the preceding example are
referred to as common index tables and are used for deletion
handling and storing the internal state of
FULLTEXT
indexes. Unlike the inverted index
tables, which are created for each full-text index, this set of
tables is common to all full-text indexes created on a
particular table.
Common auxiliary tables are retained even if full-text indexes
are dropped. When a full-text index is dropped, the
FTS_DOC_ID
column that was created for the
index is retained, as removing the FTS_DOC_ID
column would require rebuilding the table. Common axillary
tables are required to manage the FTS_DOC_ID
column.
fts_*_deleted
and
fts_*_deleted_cache
Contain the document IDs (DOC_ID) for documents that are
deleted but whose data is not yet removed from the full-text
index. The fts_*_deleted_cache
is the
in-memory version of the fts_*_deleted
table.
fts_*_being_deleted
and
fts_*_being_deleted_cache
Contain the document IDs (DOC_ID) for documents that are
deleted and whose data is currently in the process of being
removed from the full-text index. The
fts_*_being_deleted_cache
table is the
in-memory version of the
fts_*_being_deleted
table.
fts_*_config
Stores information about the internal state of the
FULLTEXT
index. Most importantly, it
stores the FTS_SYNCED_DOC_ID
, which
identifies documents that have been parsed and flushed to
disk. In case of crash recovery,
FTS_SYNCED_DOC_ID
values are used to
identify documents that have not been flushed to disk so
that the documents can be re-parsed and added back to the
FULLTEXT
index cache. To view the data in
this table, query the
INFORMATION_SCHEMA.INNODB_FT_CONFIG
table.
When a document is inserted, it is tokenized, and the individual
words and associated data are inserted into the
FULLTEXT
index. This process, even for small
documents, could result in numerous small insertions into the
auxiliary index tables, making concurrent access to these tables
a point of contention. To avoid this problem,
InnoDB
uses a FULLTEXT
index cache to temporarily cache index table insertions for
recently inserted rows. This in-memory cache structure holds
insertions until the cache is full and then batch flushes them
to disk (to the auxiliary index tables). You can query the
INFORMATION_SCHEMA.INNODB_FT_INDEX_CACHE
table to view tokenized data for recently inserted rows.
The caching and batch flushing behavior avoids frequent updates to auxiliary index tables, which could result in concurrent access issues during busy insert and update times. The batching technique also avoids multiple insertions for the same word, and minimizes duplicate entries. Instead of flushing each word individually, insertions for the same word are merged and flushed to disk as a single entry, improving insertion efficiency while keeping auxiliary index tables as small as possible.
The innodb_ft_cache_size
variable is used to configure the full-text index cache size (on
a per-table basis), which affects how often the full-text index
cache is flushed. You can also define a global full-text index
cache size limit for all tables in a given instance using the
innodb_ft_total_cache_size
option.
The full-text index cache stores the same information as auxiliary index tables. However, the full-text index cache only caches tokenized data for recently inserted rows. The data that is already flushed to disk (to the full-text auxiliary tables) is not brought back into the full-text index cache when queried. The data in auxiliary index tables is queried directly, and results from the auxiliary index tables are merged with results from the full-text index cache before being returned.
InnoDB
uses a unique document identifier
referred to as a Document ID (DOC_ID
) to map
words in the full-text index to document records where the word
appears. The mapping requires an FTS_DOC_ID
column on the indexed table. If an FTS_DOC_ID
column is not defined, InnoDB
automatically
adds a hidden FTS_DOC_ID
column when the
full-text index is created. The following example demonstrates
this behavior.
The following table definition does not include an
FTS_DOC_ID
column:
mysql>CREATE TABLE opening_lines (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
opening_line TEXT(500),
author VARCHAR(200),
title VARCHAR(200)
) ENGINE=InnoDB;
When you create a full-text index on the table using
CREATE FULLTEXT INDEX
syntax, a warning is
returned which reports that InnoDB
is
rebuilding the table to add the FTS_DOC_ID
column.
mysql>CREATE FULLTEXT INDEX idx ON opening_lines(opening_line);
Query OK, 0 rows affected, 1 warning (0.19 sec) Records: 0 Duplicates: 0 Warnings: 1 mysql>SHOW WARNINGS;
+---------+------+--------------------------------------------------+ | Level | Code | Message | +---------+------+--------------------------------------------------+ | Warning | 124 | InnoDB rebuilding table to add column FTS_DOC_ID | +---------+------+--------------------------------------------------+
The same warning is returned when using
ALTER TABLE
to add a full-text
index to a table that does not have an
FTS_DOC_ID
column. If you create a full-text
index at CREATE TABLE
time and do
not specify an FTS_DOC_ID
column,
InnoDB
adds a hidden
FTS_DOC_ID
column, without warning.
Defining an FTS_DOC_ID
column at
CREATE TABLE
time is less
expensive than creating a full-text index on a table that is
already loaded with data. If an FTS_DOC_ID
column is defined on a table prior to loading data, the table
and its indexes do not have to be rebuilt to add the new column.
If you are not concerned with CREATE FULLTEXT
INDEX
performance, leave out the
FTS_DOC_ID
column to have
InnoDB
create it for you.
InnoDB
creates a hidden
FTS_DOC_ID
column along with a unique index
(FTS_DOC_ID_INDEX
) on the
FTS_DOC_ID
column. If you want to create your
own FTS_DOC_ID
column, the column must be
defined as BIGINT UNSIGNED NOT NULL
and named
FTS_DOC_ID
(all upper case), as in the
following example:
The FTS_DOC_ID
column does not need to be
defined as an AUTO_INCREMENT
column, but
AUTO_INCREMENT
could make loading data
easier.
mysql>CREATE TABLE opening_lines (
FTS_DOC_ID BIGINT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
opening_line TEXT(500),
author VARCHAR(200),
title VARCHAR(200)
) ENGINE=InnoDB;
If you choose to define the FTS_DOC_ID
column
yourself, you are responsible for managing the column to avoid
empty or duplicate values. FTS_DOC_ID
values
cannot be reused, which means FTS_DOC_ID
values must be ever increasing.
Optionally, you can create the required unique
FTS_DOC_ID_INDEX
(all upper case) on the
FTS_DOC_ID
column.
mysql> CREATE UNIQUE INDEX FTS_DOC_ID_INDEX on opening_lines(FTS_DOC_ID);
If you do not create the FTS_DOC_ID_INDEX
,
InnoDB
creates it automatically.
FTS_DOC_ID_INDEX
cannot be defined as a
descending index because the InnoDB
SQL
parser does not use descending indexes.
The permitted gap between the largest used
FTS_DOC_ID
value and new
FTS_DOC_ID
value is 65535.
To avoid rebuilding the table, the FTS_DOC_ID
column is retained when dropping a full-text index.
Deleting a record that has a full-text index column could result
in numerous small deletions in the auxiliary index tables,
making concurrent access to these tables a point of contention.
To avoid this problem, the Document ID
(DOC_ID
) of a deleted document is logged in a
special FTS_*_DELETED
table whenever a record
is deleted from an indexed table, and the indexed record remains
in the full-text index. Before returning query results,
information in the FTS_*_DELETED
table is
used to filter out deleted Document IDs. The benefit of this
design is that deletions are fast and inexpensive. The drawback
is that the size of the index is not immediately reduced after
deleting records. To remove full-text index entries for deleted
records, run OPTIMIZE TABLE
on the indexed
table with
innodb_optimize_fulltext_only=ON
to rebuild the full-text index. For more information, see
Optimizing InnoDB Full-Text Indexes.
InnoDB
FULLTEXT
indexes
have special transaction handling characteristics due its
caching and batch processing behavior. Specifically, updates and
insertions on a FULLTEXT
index are processed
at transaction commit time, which means that a
FULLTEXT
search can only see committed data.
The following example demonstrates this behavior. The
FULLTEXT
search only returns a result after
the inserted lines are committed.
mysql>CREATE TABLE opening_lines (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
opening_line TEXT(500),
author VARCHAR(200),
title VARCHAR(200),
FULLTEXT idx (opening_line)
) ENGINE=InnoDB;
mysql>BEGIN;
mysql>INSERT INTO opening_lines(opening_line,author,title) VALUES
('Call me Ishmael.','Herman Melville','Moby-Dick'),
('A screaming comes across the sky.','Thomas Pynchon','Gravity\'s Rainbow'),
('I am an invisible man.','Ralph Ellison','Invisible Man'),
('Where now? Who now? When now?','Samuel Beckett','The Unnamable'),
('It was love at first sight.','Joseph Heller','Catch-22'),
('All this happened, more or less.','Kurt Vonnegut','Slaughterhouse-Five'),
('Mrs. Dalloway said she would buy the flowers herself.','Virginia Woolf','Mrs. Dalloway'),
('It was a pleasure to burn.','Ray Bradbury','Fahrenheit 451');
mysql>SELECT COUNT(*) FROM opening_lines WHERE MATCH(opening_line) AGAINST('Ishmael');
+----------+ | COUNT(*) | +----------+ | 0 | +----------+ mysql>COMMIT;
mysql>SELECT COUNT(*) FROM opening_lines WHERE MATCH(opening_line) AGAINST('Ishmael');
+----------+ | COUNT(*) | +----------+ | 1 | +----------+
You can monitor and examine the special text-processing aspects
of InnoDB
FULLTEXT
indexes
by querying the following INFORMATION_SCHEMA
tables:
You can also view basic information for
FULLTEXT
indexes and tables by querying
INNODB_INDEXES
and
INNODB_TABLES
.
For more information, see Section 15.14.4, “InnoDB INFORMATION_SCHEMA FULLTEXT Index Tables”.
This section covers topics related to InnoDB
tablespaces.
The InnoDB
system tablespace is the storage
area for the doublewrite buffer and the change buffer. The system
tablespace also contains table and index data for user-created
tables created in the system tablespace. In previous releases, the
system tablespace contained the InnoDB
data
dictionary. In MySQL 8.0, InnoDB
stores metadata in the MySQL data dictionary. See
Chapter 14, MySQL Data Dictionary.
The system tablespace can have one or more data files. By default,
one system tablespace data file, named
ibdata1
, is created in the data directory.
The size and number of system tablespace data files is controlled
by the innodb_data_file_path
startup option. For related information, see
System Tablespace Data File Configuration.
This section describes how to increase or decrease the size of
the InnoDB
system tablespace.
The easiest way to increase the size of the
InnoDB
system tablespace is to configure it
from the beginning to be auto-extending. Specify the
autoextend
attribute for the last data file
in the tablespace definition. Then InnoDB
increases the size of that file automatically in 64MB increments
when it runs out of space. The increment size can be changed by
setting the value of the
innodb_autoextend_increment
system variable, which is measured in megabytes.
You can expand the system tablespace by a defined amount by adding another data file:
Shut down the MySQL server.
If the previous last data file is defined with the keyword
autoextend
, change its definition to use
a fixed size, based on how large it has actually grown.
Check the size of the data file, round it down to the
closest multiple of 1024 × 1024 bytes (= 1MB), and
specify this rounded size explicitly in
innodb_data_file_path
.
Add a new data file to the end of
innodb_data_file_path
,
optionally making that file auto-extending. Only the last
data file in the
innodb_data_file_path
can
be specified as auto-extending.
Start the MySQL server again.
For example, this tablespace has just one auto-extending data
file ibdata1
:
innodb_data_home_dir = innodb_data_file_path = /ibdata/ibdata1:10M:autoextend
Suppose that this data file, over time, has grown to 988MB. Here is the configuration line after modifying the original data file to use a fixed size and adding a new auto-extending data file:
innodb_data_home_dir = innodb_data_file_path = /ibdata/ibdata1:988M;/disk2/ibdata2:50M:autoextend
When you add a new data file to the system tablespace
configuration, make sure that the filename does not refer to an
existing file. InnoDB
creates and initializes
the file when you restart the server.
You cannot remove a data file from the system tablespace. To decrease the system tablespace size, use this procedure:
Use mysqldump to dump all your
InnoDB
tables, including
InnoDB
tables located in the MySQL
database.
mysql> SELECT TABLE_NAME from INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA='mysql' and ENGINE='InnoDB';
+---------------------------+
| TABLE_NAME |
+---------------------------+
| columns_priv |
| component |
| db |
| default_roles |
| engine_cost |
| func |
| global_grants |
| gtid_executed |
| help_category |
| help_keyword |
| help_relation |
| help_topic |
| innodb_dynamic_metadata |
| innodb_index_stats |
| innodb_table_stats |
| plugin |
| procs_priv |
| proxies_priv |
| role_edges |
| server_cost |
| servers |
| slave_master_info |
| slave_relay_log_info |
| slave_worker_info |
| tables_priv |
| time_zone |
| time_zone_leap_second |
| time_zone_name |
| time_zone_transition |
| time_zone_transition_type |
| user |
+---------------------------+
Stop the server.
Remove all the existing tablespace files
(*.ibd
), including the
ibdata
and ib_log
files. Do not forget to remove *.ibd
files for tables located in the MySQL database.
Configure a new tablespace.
Restart the server.
Import the dump files.
If your databases only use the InnoDB
engine, it may be simpler to dump
all databases, stop the
server, remove all databases and InnoDB
log
files, restart the server, and import the dump files.
You can use raw disk partitions as data files in the
InnoDB
system tablespace.
This technique enables nonbuffered I/O on Windows and on some
Linux and Unix systems without file system overhead. Perform
tests with and without raw partitions to verify whether this
change actually improves performance on your system.
When you use a raw disk partition, ensure that the user ID that
runs the MySQL server has read and write privileges for that
partition. For example, if you run the server as the
mysql
user, the partition must be readable
and writeable by mysql
. If you run the server
with the --memlock
option, the
server must be run as root
, so the partition
must be readable and writeable by root
.
The procedures described below involve option file modification. For additional information, see Section 4.2.7, “Using Option Files”.
When you create a new data file, specify the keyword
newraw
immediately after the data file
size for the
innodb_data_file_path
option. The partition must be at least as large as the size
that you specify. Note that 1MB in InnoDB
is 1024 × 1024 bytes, whereas 1MB in disk
specifications usually means 1,000,000 bytes.
[mysqld] innodb_data_home_dir= innodb_data_file_path=/dev/hdd1:3Gnewraw;/dev/hdd2:2Gnewraw
Restart the server. InnoDB
notices the
newraw
keyword and initializes the new
partition. However, do not create or change any
InnoDB
tables yet. Otherwise, when you
next restart the server, InnoDB
reinitializes the partition and your changes are lost. (As a
safety measure InnoDB
prevents users from
modifying data when any partition with
newraw
is specified.)
After InnoDB
has initialized the new
partition, stop the server, change newraw
in the data file specification to raw
:
[mysqld] innodb_data_home_dir= innodb_data_file_path=/dev/hdd1:3Graw;/dev/hdd2:2Graw
Restart the server. InnoDB
now permits
changes to be made.
On Windows systems, the same steps and accompanying guidelines
described for Linux and Unix systems apply except that the
innodb_data_file_path
setting
differs slightly on Windows.
When you create a new data file, specify the keyword
newraw
immediately after the data file
size for the
innodb_data_file_path
option:
[mysqld] innodb_data_home_dir= innodb_data_file_path=//./D::10Gnewraw
The //./
corresponds to the Windows
syntax of \\.\
for accessing physical
drives. In the example above, D:
is the
drive letter of the partition.
Restart the server. InnoDB
notices the
newraw
keyword and initializes the new
partition.
After InnoDB
has initialized the new
partition, stop the server, change newraw
in the data file specification to raw
:
[mysqld] innodb_data_home_dir= innodb_data_file_path=//./D::10Graw
Restart the server. InnoDB
now permits
changes to be made.
Historically, InnoDB
tables were stored in the
system tablespace.
This monolithic approach was targeted at machines dedicated to
database processing, with carefully planned data growth, where any
disk storage allocated to MySQL would never be needed for other
purposes. The file-per-table
tablespace feature provides a more flexible alternative,
where each InnoDB
table is stored in its own
tablespace data file (.ibd
file). This
feature is controlled by the
innodb_file_per_table
configuration option, which is enabled by default.
You can reclaim disk space when truncating or dropping a table
stored in a file-per-table tablepace. Truncating or dropping
tables stored in the shared
system
tablespace creates free space internally in the system
tablespace data files (ibdata
files) which can only be used for new
InnoDB
data.
Similarly, a table-copying ALTER
TABLE
operation on table that resides in a shared
tablespace can increase the amount of space used by the
tablespace. Such operations may require as much additional
space as the data in the table plus indexes. The additional
space required for the table-copying
ALTER TABLE
operation is not
released back to the operating system as it is for
file-per-table tablespaces.
The TRUNCATE TABLE
operation is
faster when run on tables stored in file-per-table tablepaces.
You can store specific tables on separate storage devices, for
I/O optimization, space management, or backup purposes by
specifying the location of each table using the syntax
CREATE TABLE ... DATA DIRECTORY =
,
as explained in Section 15.6.3.6, “Creating a Tablespace Outside of the Data Directory”.
absolute_path_to_directory
You can run OPTIMIZE TABLE
to
compact or recreate a file-per-table tablespace. When you run
an OPTIMIZE TABLE
,
InnoDB
creates a new
.ibd
file with a temporary name, using
only the space required to store actual data. When the
optimization is complete, InnoDB
removes
the old .ibd
file and replaces it with
the new one. If the previous .ibd
file
grew significantly but the actual data only accounted for a
portion of its size, running OPTIMIZE
TABLE
can reclaim the unused space.
You can move individual InnoDB
tables
rather than entire databases.
You can copy individual InnoDB
tables from
one MySQL instance to another (known as the
transportable
tablespace feature).
Tables created in file-per-table tablespaces support features associated with compressed and dynamic row formats.
You can enable more efficient storage for tables with large
BLOB
or TEXT
columns
using the dynamic row
format.
File-per-table tablespaces may improve chances for a successful recovery and save time when a corruption occurs, when a server cannot be restarted, or when backup and binary logs are unavailable.
You can back up or restore individual tables quickly using the
MySQL Enterprise Backup product, without interrupting the use
of other InnoDB
tables. This is beneficial
if you have tables that require backup less frequently or on a
different backup schedule. See Making a Partial Backup for
details.
File-per-table tablespaces are convenient for per-table status reporting when copying or backing up tables.
You can monitor table size at a file system level without accessing MySQL.
Common Linux file systems do not permit concurrent writes to a
single file when
innodb_flush_method
is set to
O_DIRECT
. As a result, there are possible
performance improvements when using file-per-table tablespaces
in conjunction with
innodb_flush_method
.
The system tablespace stores the data dictionary and undo
logs, and is limited in size by InnoDB
tablespace size limits. See
Section 15.6.1.6, “Limits on InnoDB Tables”. With file-per-table
tablespaces, each table has its own tablespace, which provides
room for growth.
With file-per-table tablespaces, each table may have unused space, which can only be utilized by rows of the same table. This could lead to wasted space if not properly managed.
fsync
operations must run on each open
table rather than on a single file. Because there is a
separate fsync
operation for each file,
write operations on multiple tables cannot be combined into a
single I/O operation. This may require
InnoDB
to perform a higher total number of
fsync
operations.
mysqld must keep one open file handle per table, which may impact performance if you have numerous tables in file-per-table tablespaces.
More file descriptors are used.
innodb_file_per_table
is
enabled by default in MySQL 5.6 and higher. You may consider
disabling it if backward compatibility with earlier versions
of MySQL is a concern.
If many tables are growing there is potential for more
fragmentation which can impede DROP
TABLE
and table scan performance. However, when
fragmentation is managed, having files in their own tablespace
can improve performance.
The buffer pool is scanned when dropping a file-per-table tablespace, which can take several seconds for buffer pools that are tens of gigabytes in size. The scan is performed with a broad internal lock, which may delay other operations. Tables in the system tablespace are not affected.
The
innodb_autoextend_increment
variable, which defines increment size (in MB) for extending
the size of an auto-extending shared tablespace file when it
becomes full, does not apply to file-per-table tablespace
files, which are auto-extending regardless of the
innodb_autoextend_increment
setting. The initial extensions are by small amounts, after
which extensions occur in increments of 4MB.
The innodb_file_per_table
option is enabled by default.
To set the
innodb_file_per_table
option at
startup, start the server with the
--innodb_file_per_table
command-line option, or add this line to the
[mysqld]
section of
my.cnf
:
[mysqld] innodb_file_per_table=1
You can also set
innodb_file_per_table
dynamically, while the server is running:
mysql> SET GLOBAL innodb_file_per_table=1;
With innodb_file_per_table
enabled, you can store InnoDB
tables in a
file. Unlike the tbl_name
.ibdMyISAM
storage engine, with
its separate
and
tbl_name
.MYD
files for indexes and data, tbl_name
.MYIInnoDB
stores the
data and the indexes together in a single
.ibd
file.
If you disable
innodb_file_per_table
in your
startup options and restart the server, or disable it with the
SET GLOBAL
command, InnoDB
creates new tables inside the system tablespace unless you have
explicitly placed the table in file-per-table tablespace or
general tablespace using the
CREATE TABLE ...
TABLESPACE
option.
You can always read and write any InnoDB
tables, regardless of the file-per-table setting.
To move a table from the system tablespace to its own
tablespace, change the
innodb_file_per_table
setting
and rebuild the table:
mysql>SET GLOBAL innodb_file_per_table=1;
mysql>ALTER TABLE
table_name
ENGINE=InnoDB;
Tables added to the system tablespace using
CREATE TABLE ...
TABLESPACE
or
ALTER TABLE ...
TABLESPACE
syntax are not affected by the
innodb_file_per_table
setting.
To move these tables from the system tablespace to a
file-per-table tablespace, they must be moved explicitly using
ALTER TABLE ...
TABLESPACE
syntax.
InnoDB
always needs the system tablespace
because it puts its internal
data dictionary
and undo logs there. The
.ibd
files are not sufficient for
InnoDB
to operate.
When a table is moved out of the system tablespace into its
own .ibd
file, the data files that make
up the system tablespace remain the same size. The space
formerly occupied by the table can be reused for new
InnoDB
data, but is not reclaimed for use
by the operating system. When moving large
InnoDB
tables out of the system tablespace,
where disk space is limited, you may prefer to enable
innodb_file_per_table
and
recreate the entire instance using the
mysqldump command. As mentioned above,
tables added to the system tablespace using
CREATE TABLE ...
TABLESPACE
or
ALTER TABLE ...
TABLESPACE
syntax are not affected by the
innodb_file_per_table
setting. These tables must be moved individually.
A general tablespace is a shared InnoDB
tablespace that is created using CREATE
TABLESPACE
syntax. General tablespace capabilities and
features are described under the following topics in this section:
The general tablespace feature provides the following capabilities:
Similar to the system tablespace, general tablespaces are shared tablespaces that can store data for multiple tables.
General tablespaces have a potential memory advantage over file-per-table tablespaces. The server keeps tablespace metadata in memory for the lifetime of a tablespace. Multiple tables in fewer general tablespaces consume less memory for tablespace metadata than the same number of tables in separate file-per-table tablespaces.
General tablespace data files may be placed in a directory relative to or independent of the MySQL data directory, which provides you with many of the data file and storage management capabilities of file-per-table tablespaces. As with file-per-table tablespaces, the ability to place data files outside of the MySQL data directory allows you to manage performance of critical tables separately, setup RAID or DRBD for specific tables, or bind tables to particular disks, for example.
General tablespaces support both Antelope and Barracuda file
formats, and therefore support all table row formats and
associated features. With support for both file formats,
general tablespaces have no dependence on
innodb_file_format
or
innodb_file_per_table
settings, nor do these variables have any effect on general
tablespaces.
The TABLESPACE
option can be used with
CREATE TABLE
to create tables
in a general tablespaces, file-per-table tablespace, or in
the system tablespace.
The TABLESPACE
option can be used with
ALTER TABLE
to move tables
between general tablespaces, file-per-table tablespaces, and
the system tablespace. Previously, it was not possible to
move a table from a file-per-table tablespace to the system
tablespace. With the general tablespace feature, you can now
do so.
General tablespaces are created using
CREATE TABLESPACE
syntax.
CREATE TABLESPACEtablespace_name
[ADD DATAFILE 'file_name
'] [FILE_BLOCK_SIZE =value
] [ENGINE [=]engine_name
]
A general tablespace can be created in the data directory or
outside of it. To avoid conflicts with implicitly created
file-per-table tablespaces, creating a general tablespace in a
subdirectory under the data directory is not supported. When
creating a general tablespace outside of the data directory, the
directory must exist and must be known to
InnoDB
prior to creating the tablespace. To
make an unknown directory known to InnoDB
,
add the directory to the
innodb_directories
argument
value. innodb_directories
is a
read-only startup option. Configuring it requires restarting the
server.
Examples:
Creating a general tablespace in the data directory:
mysql> CREATE TABLESPACE `ts1` ADD DATAFILE 'ts1.ibd' Engine=InnoDB;
or
mysql> CREATE TABLESPACE `ts1` Engine=InnoDB;
The ADD DATAFILE
clause is optional as of
MySQL 8.0.14 and required before that. If the ADD
DATAFILE
clause is not specified when creating a
tablespace, a tablespace data file with a unique file name is
created implicitly. The unique file name is a 128 bit UUID
formatted into five groups of hexadecimal numbers separated by
dashes
(aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee
).
General tablespace data files include an
.ibd
file extension. In a replication
environment, the data file name created on the master is not the
same as the data file name created on the slave.
Creating a general tablespace in a directory outside of the data directory:
mysql> CREATE TABLESPACE `ts1` ADD DATAFILE '/my/tablespace/directory/ts1.ibd' Engine=InnoDB;
You can specify a path that is relative to the data directory as
long as the tablespace directory is not under the data
directory. In this example, the
my_tablespace
directory is at the same
level as the data directory:
mysql> CREATE TABLESPACE `ts1` ADD DATAFILE '../my_tablespace/ts1.ibd' Engine=InnoDB;
The ENGINE = InnoDB
clause must be defined
as part of the CREATE
TABLESPACE
statement, or InnoDB
must be defined as the default storage engine
(default_storage_engine=InnoDB
).
After creating an InnoDB
general tablespace,
you can use CREATE
TABLE
or
tbl_name
... TABLESPACE [=]
tablespace_name
ALTER TABLE
to add
tables to the tablespace, as shown in the following examples:
tbl_name
TABLESPACE [=]
tablespace_name
mysql> CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE ts1;
mysql> ALTER TABLE t2 TABLESPACE ts1;
Support for adding table partitions to shared tablespaces was
deprecated in MySQL 5.7.24 and removed in MySQL 8.0.13. Shared
tablespaces include the InnoDB
system
tablespace and general tablespaces.
For detailed syntax information, see CREATE
TABLE
and ALTER TABLE
.
General tablespaces support all table row formats
(REDUNDANT
, COMPACT
,
DYNAMIC
, COMPRESSED
) with
the caveat that compressed and uncompressed tables cannot
coexist in the same general tablespace due to different physical
page sizes.
For a general tablespace to contain compressed tables
(ROW_FORMAT=COMPRESSED
),
FILE_BLOCK_SIZE
must be specified, and the
FILE_BLOCK_SIZE
value must be a valid
compressed page size in relation to the
innodb_page_size
value. Also,
the physical page size of the compressed table
(KEY_BLOCK_SIZE
) must be equal to
FILE_BLOCK_SIZE/1024
. For example, if
innodb_page_size=16KB
and
FILE_BLOCK_SIZE=8K
, the
KEY_BLOCK_SIZE
of the table must be 8.
The following table shows permitted
innodb_page_size
,
FILE_BLOCK_SIZE
, and
KEY_BLOCK_SIZE
combinations.
FILE_BLOCK_SIZE
values may also be specified
in bytes. To determine a valid KEY_BLOCK_SIZE
value for a given FILE_BLOCK_SIZE
, divide the
FILE_BLOCK_SIZE
value by 1024. Table
compression is not support for 32K and 64K
InnoDB
page sizes. For more information about
KEY_BLOCK_SIZE
, see
CREATE TABLE
, and
Section 15.9.1.2, “Creating Compressed Tables”.
Table 15.4 Permitted Page Size, FILE_BLOCK_SIZE, and KEY_BLOCK_SIZE Combinations for Compressed Tables
InnoDB Page Size (innodb_page_size) | Permitted FILE_BLOCK_SIZE Value | Permitted KEY_BLOCK_SIZE Value |
---|---|---|
64KB | 64K (65536) | Compression is not supported |
32KB | 32K (32768) | Compression is not supported |
16KB | 16K (16384) | N/A: If innodb_page_size is equal to
FILE_BLOCK_SIZE , the tablespace cannot
contain a compressed table. |
16KB | 8K (8192) | 8 |
16KB | 4K (4096) | 4 |
16KB | 2K (2048) | 2 |
16KB | 1K (1024) | 1 |
8KB | 8K (8192) | N/A: If innodb_page_size is equal to
FILE_BLOCK_SIZE , the tablespace cannot
contain a compressed table. |
8KB | 4K (4096) | 4 |
8KB | 2K (2048) | 2 |
8KB | 1K (1024) | 1 |
4KB | 4K (4096) | N/A: If innodb_page_size is equal to
FILE_BLOCK_SIZE , the tablespace cannot
contain a compressed table. |
4KB | 2K (2048) | 2 |
4KB | 1K (1024) | 1 |
This example demonstrates creating a general tablespace and
adding a compressed table. The example assumes a default
innodb_page_size
of 16KB. The
FILE_BLOCK_SIZE
of 8192 requires that the
compressed table have a KEY_BLOCK_SIZE
of 8.
mysql>CREATE TABLESPACE `ts2` ADD DATAFILE 'ts2.ibd' FILE_BLOCK_SIZE = 8192 Engine=InnoDB;
mysql>CREATE TABLE t4 (c1 INT PRIMARY KEY) TABLESPACE ts2 ROW_FORMAT=COMPRESSED KEY_BLOCK_SIZE=8;
If you do not specify FILE_BLOCK_SIZE
when
creating a general tablespace,
FILE_BLOCK_SIZE
defaults to
innodb_page_size
. When
FILE_BLOCK_SIZE
is equal to
innodb_page_size
, the
tablespace may only contain tables with an uncompressed row
format (COMPACT
,
REDUNDANT
, and DYNAMIC
row
formats).
You can use ALTER TABLE
with the
TABLESPACE
option to move a table to an
existing general tablespace, to a new file-per-table tablespace,
or to the system tablespace.
Support for placing table partitions in shared tablespaces was
deprecated in MySQL 5.7.24 and removed MySQL 8.0.13. Shared
tablespaces include the InnoDB
system
tablespace and general tablespaces.
To move a table from a file-per-table tablespace or from the
system tablespace to a general tablespace, specify the name of
the general tablespace. The general tablespace must exist. See
CREATE TABLESPACE
for more
information.
ALTER TABLE tbl_name TABLESPACE [=] tablespace_name
;
To move a table from a general tablespace or file-per-table
tablespace to the system tablespace, specify
innodb_system
as the tablespace name.
ALTER TABLE tbl_name TABLESPACE [=] innodb_system;
To move a table from the system tablespace or a general
tablespace to a file-per-table tablespace, specify
innodb_file_per_table
as the tablespace name.
ALTER TABLE tbl_name TABLESPACE [=] innodb_file_per_table;
ALTER TABLE ... TABLESPACE
operations always
cause a full table rebuild, even if the
TABLESPACE
attribute has not changed from its
previous value.
ALTER TABLE ... TABLESPACE
syntax does not
support moving a table from a temporary tablespace to a
persistent tablespace.
The DATA DIRECTORY
clause is permitted with
CREATE TABLE ...
TABLESPACE=innodb_file_per_table
but is otherwise not
supported for use in combination with the
TABLESPACE
option.
Restrictions apply when moving tables from encrypted tablespaces. See InnoDB Tablespace Encryption Limitations.
Renaming a general tablespace is supported using
ALTER
TABLESPACE ... RENAME TO
syntax.
ALTER TABLESPACE s1 RENAME TO s2;
The CREATE TABLESPACE
privilege
is required to rename a general tablespace.
RENAME TO
operations are implicitly performed
in autocommit
mode, regardless
of the autocommit
setting.
A RENAME TO
operation cannot be performed
while LOCK TABLES
or
FLUSH TABLES WITH READ
LOCK
is in effect for tables that reside in the
tablespace.
Exclusive metadata locks are taken on tables within a general tablespace while the tablespace is renamed, which prevents concurrent DDL. Concurrent DML is supported.
The DROP TABLESPACE
statement is
used to drop an InnoDB
general tablespace.
All tables must be dropped from the tablespace prior to a
DROP TABLESPACE
operation. If the
tablespace is not empty, DROP
TABLESPACE
returns an error.
Use a query similar to the following to identify tables in a general tablespace.
mysql>SELECT a.NAME AS space_name, b.NAME AS table_name FROM INFORMATION_SCHEMA.INNODB_TABLESPACES a,
INFORMATION_SCHEMA.INNODB_TABLES b WHERE a.SPACE=b.SPACE AND a.NAME LIKE 'ts1';
+------------+------------+ | space_name | table_name | +------------+------------+ | ts1 | test/t1 | | ts1 | test/t2 | | ts1 | test/t3 | +------------+------------+
A general InnoDB
tablespace is not deleted
automatically when the last table in the tablespace is dropped.
The tablespace must be dropped explicitly using
DROP TABLESPACE
.
tablespace_name
A general tablespace does not belong to any particular database.
A DROP DATABASE
operation can
drop tables that belong to a general tablespace but it cannot
drop the tablespace, even if the DROP
DATABASE
operation drops all tables that belong to the
tablespace. A general tablespace must be dropped explicitly
using DROP
TABLESPACE
.
tablespace_name
Similar to the system tablespace, truncating or dropping tables
stored in a general tablespace creates free space internally in
the general tablespace .ibd data
file which can only be used for new
InnoDB
data. Space is not released back to
the operating system as it is when a file-per-table tablespace
is deleted during a DROP TABLE
operation.
This example demonstrates how to drop an
InnoDB
general tablespace. The general
tablespace ts1
is created with a single
table. The table must be dropped before dropping the tablespace.
mysql>CREATE TABLESPACE `ts1` ADD DATAFILE 'ts1.ibd' Engine=InnoDB;
mysql>CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE ts10 Engine=InnoDB;
mysql>DROP TABLE t1;
mysql>DROP TABLESPACE ts1;
is a case-sensitive identifier in MySQL.
tablespace_name
A generated or existing tablespace cannot be changed to a general tablespace.
Creation of temporary general tablespaces is not supported.
General tablespaces do not support temporary tables.
Similar to the system tablespace, truncating or dropping
tables stored in a general tablespace creates free space
internally in the general tablespace
.ibd data file which
can only be used for new InnoDB
data.
Space is not released back to the operating system as it is
for
file-per-table
tablespaces.
Additionally, a table-copying ALTER
TABLE
operation on table that resides in a shared
tablespace (a general tablespace or the system tablespace)
can increase the amount of space used by the tablespace.
Such operations require as much additional space as the data
in the table plus indexes. The additional space required for
the table-copying ALTER TABLE
operation is not released back to the operating system as it
is for file-per-table tablespaces.
ALTER TABLE ...
DISCARD TABLESPACE
and
ALTER TABLE
...IMPORT TABLESPACE
are not supported for tables
that belong to a general tablespace.
Support for placing table partitions in general tablespaces was deprecated in MySQL 5.7.24 and removed in MySQL 8.0.13.
Undo tablespaces contain undo logs, which are collections of undo
log records that contain information about how to undo the latest
change by a transaction to a clustered index record. Undo logs
exist within undo log segments, which are contained within
rollback segments. The
innodb_rollback_segments
variable
defines the number of rollback segments allocated to each undo
tablespace.
Two default undo tablespaces are created when the MySQL instance is initialized. Default undo tablespaces are created at initialization time to provide a location for rollback segments that must exist before SQL statements can be accepted. A minimum of two undo tablespaces is required to support automated truncation of undo tablespaces. See Truncating Undo Tablespaces.
Default undo tablespaces are created in the location defined by
the innodb_undo_directory
variable. If the
innodb_undo_directory
variable is
undefined, default undo tablespaces are created in the data
directory. Default undo tablespace data files are named
undo_001
and undo_002
.
The corresponding undo tablespace names defined in the data
dictionary are innodb_undo_001
and
innodb_undo_002
.
As of MySQL 8.0.14, additional undo tablespaces can be created at runtime using SQL. See Adding Undo Tablespaces.
The initial size of an undo tablespace data file depends on the
innodb_page_size
value. For the
default 16KB page size, the initial undo tablespace file size is
10MiB. For 4KB, 8KB, 32KB, and 64KB page sizes, the initial undo
tablespace files sizes are 7MiB, 8MiB, 20MiB, and 40MiB,
respectively.
Because undo logs can become large during long-running
transactions, creating additional undo tablespaces can help
prevent individual undo tablespaces from becoming too large. As
of MySQL 8.0.14, additional undo tablespaces can be created at
runtime using
CREATE UNDO
TABLESPACE
syntax.
CREATE UNDO TABLESPACEtablespace_name
ADD DATAFILE 'file_name
.ibu'
The undo tablespace file name must have an
.ibu
extension. It is not permitted to
specify a relative path when defining the undo tablespace file
name. A fully qualified path is permitted, but the path must be
known to InnoDB
. Known paths are those
defined by the
innodb_directories
variable.
At startup, directories defined by the
innodb_directories
variable are
scanned for undo tablespace files. (The scan also traverses
subdirectories.) Directories defined by the
innodb_data_home_dir
,
innodb_undo_directory
, and
datadir
variables are
automatically appended to the
innodb_directories
value,
regardless of whether the
innodb_directories
variable is
defined explicitly. An undo tablespace can therefore reside in
paths defined by any of those variables.
If the undo tablespace file name does not include a path, the
undo tablespace is created in the directory defined by the
innodb_undo_directory
variable.
If that variable is undefined, the undo tablespace is created in
the data directory.
The InnoDB
recovery process requires that
undo tablespace files reside in known directories. Undo
tablespace files must be discovered and opened before redo
recovery and before other data files are opened to permit
uncommitted transactions and data dictionary changes to be
rolled back. An undo tablespace not found before recovery
cannot be used, which can cause database inconsistencies. An
error message is reported at startup if an undo tablespace
known to the data dictionary is not found. The known directory
requirement also supports undo tablespace portability. See
Moving Undo Tablespaces.
To create undo tablespaces in a path relative to the data
directory, set the
innodb_undo_directory
variable
to the relative path, and specify the file name only when
creating an undo tablespace.
To view undo tablespace names and paths, query
INFORMATION_SCHEMA.FILES
:
SELECT TABLESPACE_NAME, FILE_NAME FROM INFORMATION_SCHEMA.FILES WHERE FILE_TYPE LIKE 'UNDO LOG';
A MySQL instance supports up to 127 undo tablespaces including the two default undo tablespaces created when the MySQL instance is initialized.
Prior to MySQL 8.0.14, additional undo tablespaces are created
by configuring the
innodb_undo_tablespaces
startup variable. This variable is deprecated and no longer
configurable as of MySQL 8.0.14.
Prior to MySQL 8.0.14, increasing the
innodb_undo_tablespaces
setting creates the specified number of undo tablespaces and
adds them to the list of active undo tablespaces. Decreasing
the innodb_undo_tablespaces
setting removes undo tablespaces from the list of active undo
tablespaces. Undo tablespaces that are removed from the active
list remain active until they are no longer used by existing
transactions. The
innodb_undo_tablespaces
variable can be configured at runtime using a
SET
statement or defined in a configuration file.
Prior to MySQL 8.0.14, deactivated undo tablespaces cannot be
removed. Manual removal of undo tablespace files is possible
after a slow shutdown but is not recommended, as deactivated
undo tablespaces may contain active undo logs for some time
after the server is restarted if open transactions were
present when shutting down the server. As of MySQL 8.0.14,
undo tablespaces can be dropped using
DROP UNDO
TABALESPACE
syntax. See
Dropping Undo Tablespaces.
As of MySQL 8.0.14, undo tablespaces created using
CREATE UNDO
TABLESPACE
syntax can be dropped at runtime using
DROP UNDO
TABALESPACE
syntax.
An undo tablespace must be empty before it can be dropped. To
empty an undo tablespace, the undo tablespace must first be
marked as inactive using
ALTER UNDO
TABLESPACE
syntax so that the tablespace is no longer
used for assigning rollback segments to new transactions.
ALTER UNDO TABLESPACE tablespace_name
SET INACTIVE;
After an undo tablespace is marked as inactive, transactions currently using rollback segments in the undo tablespace are permitted to finish, as are any transactions started before those transactions are completed. After transactions are completed, the purge system frees the rollback segments in the undo tablepace, and the undo tablespace is truncated to its initial size. (The same process is used when truncating undo tablespaces. See Truncating Undo Tablespaces.) When the undo tablespace is empty, it can be dropped.
DROP UNDO TABLESPACE tablespace_name
;
Alternatively, the undo tablespace can be left in an empty
state and reactivated later, when needed, by issuing an
ALTER UNDO
TABLESPACE
statement.
tablespace_name
SET
ACTIVE
The state of an undo tablespace can be monitored by querying the
INFORMATION_SCHEMA.INNODB_TABLESPACES
table.
SELECT NAME, STATE FROM INFORMATION_SCHEMA.INNODB_TABLESPACES
WHERE NAME LIKE tablepace_name
;
An inactive
state indicates that rollback
segments in an undo tablespace are no longer used by new
transactions. An empty
state indicates that
an undo tablespace is empty and ready to be dropped, or made
active again using an
ALTER UNDO
TABLESPACE
statement. Attempting to drop an undo
tablespace that is not empty returns an error.
tablespace_name
SET
ACTIVE
The default undo tablespaces (innodb_undo_001
and innodb_undo_002
) created when the MySQL
instance is initialized cannot be dropped. They can, however, be
made inactive using an
ALTER UNDO
TABLESPACE
statement. Before a default undo tablespace
can be made inactive, there must be an undo tablespace to take
its place. A minimum of two active undo tablespaces are required
at all times to support automated truncation of undo
tablespaces.
tablespace_name
SET
INACTIVE
Undo tablespaces created with
CREATE UNDO
TABLESPACE
syntax can be moved while the server is
offline to any known directory. Known directories are those
defined by the
innodb_directories
variable.
Directories defined by
innodb_data_home_dir
,
innodb_undo_directory
, and
datadir
are automatically
appended to the
innodb_directories
value
regardless of whether the
innodb_directories
variable is
defined explicitly. Those directories and their subdirectories
are scanned at startup for undo tablespaces files. An undo
tablespace file moved to any of those directories is discovered
at startup and assumed to be the undo tablespace that was moved.
The default undo tablespaces (innodb_undo_001
and innodb_undo_002
) created when the MySQL
instance is initialized must always reside in the directory
defined by the
innodb_undo_directory
variable.
If the innodb_undo_directory
variable is undefined, default undo tablespaces reside in the
data directory. If default undo tablespaces are moved while the
server is offline, the server must be started with the
innodb_undo_directory
variable
configured to the new directory.
The I/O patterns for undo logs make undo tablespaces good candidates for SSD storage.
The innodb_rollback_segments
variable defines the number of
rollback segments
allocated to each undo tablespace and to the global temporary
tablespace. The
innodb_rollback_segments
variable can be configured at startup or while the server is
running.
The default setting for
innodb_rollback_segments
is
128, which is also the maximum value. For information about the
number of transactions that a rollback segment supports, see
Section 15.6.6, “Undo Logs”.
There are two methods of truncating undo tablespaces, which can be used individually or in combination to manage undo tablespace size. One method is automated, enabled using configuration variables. The other method is manual, performed using SQL statements.
The automated method does not require monitoring undo tablespace size and, once enabled, it performs deactivation, truncation, and reactivation of undo tablespaces without manual intervention. The manual truncation method may be preferable if you want to control when undo tablespaces are taken offline for truncation. For example, you may want to avoid truncating undo tablespaces during peak workload times.
Automated truncation of undo tablespaces requires a minimum of two active undo tablespaces, which ensures that one undo tablespace remains active while the other is taken offline to be truncated. By default, two undo tablespaces are created when the MySQL instance is initialized.
To have undo tablespaces automatically truncated, enable the
innodb_undo_log_truncate
variable. For example:
mysql> SET GLOBAL innodb_undo_log_truncate=ON;
When the
innodb_undo_log_truncate
variable is enabled, undo tablespaces that exceed the size limit
defined by the
innodb_max_undo_log_size
variable are subject to truncation. The
innodb_max_undo_log_size
variable is dynamic and has a default value of 1073741824 bytes
(1024 MiB).
mysql> SELECT @@innodb_max_undo_log_size;
+----------------------------+
| @@innodb_max_undo_log_size |
+----------------------------+
| 1073741824 |
+----------------------------+
When the
innodb_undo_log_truncate
variable is enabled:
Default and user-defined undo tablespaces that exceed the
innodb_max_undo_log_size
setting are marked for truncation. Selection of an undo
tablespace for truncation is performed in a circular fashion
to avoid truncating the same undo tablespace each time.
Rollback segments residing in the selected undo tablespace are made inactive so that they are not assigned to new transactions. Existing transactions that are currently using rollback segments are permitted to finish.
The purge system frees rollback segments that are no longer in use.
After all rollback segments in the undo tablespace are
freed, the truncate operation runs and truncates the undo
tablespace to its initial size. The initial size of an undo
tablespace depends on the
innodb_page_size
value. For
the default 16KB page size, the initial undo tablespace file
size is 10MiB. For 4KB, 8KB, 32KB, and 64KB page sizes, the
initial undo tablespace files sizes are 7MiB, 8MiB, 20MiB,
and 40MiB, respectively.
The size of an undo tablespace after a truncate operation may be larger than the initial size due to immediate use following the completion of the operation.
The innodb_undo_directory
variable defines the location of default undo tablespace
files. If the
innodb_undo_directory
variable is undefined, default undo tablespaces reside in
the data directory. The location of all undo tablespace
files including user-defined undo tablespaces created using
CREATE
UNDO TABLESPACE
syntax can be determined by
querying the
INFORMATION_SCHEMA.FILES
table:
SELECT TABLESPACE_NAME, FILE_NAME FROM INFORMATION_SCHEMA.FILES WHERE FILE_TYPE LIKE 'UNDO LOG';
Rollback segments are reactivated so that they can be assigned to new transactions.
Manual truncation of undo tablespaces requires a minimum of three active undo tablespaces. Two active undo tablespaces are required at all times to support the possibility that automated truncation is enabled. A minimum of three undo tablespaces satisfies this requirement while permitting an undo tablespace to be taken offline manually.
To manually initiate truncation of an undo tablespace, deactivate the undo tablespace by issuing the following statement:
ALTER UNDO TABLESPACE tablespace_name
SET INACTIVE;
After the undo tablespace is marked as inactive, transactions
currently using rollback segments in the undo tablespace are
permitted to finish, as are any transactions started before
those transactions are completed. After transactions are
completed, the purge system frees the rollback segments in the
undo tablepace, the undo tablespace is truncated to its initial
size, and the undo tablespace state changes from
inactive
to empty
.
When an ALTER UNDO TABLESPACE
statement deactivates an undo tablespace,
the purge thread looks for that undo tablespaces at the next
opportunity. Once the undo tablespace is found and marked for
truncation, the purge thread returns with increased frequency
to quickly empty and truncate the undo tablespace.
tablespace_name
SET
INACTIVE
To check the state of an undo tablespace, query the
INFORMATION_SCHEMA.INNODB_TABLESPACES
table.
SELECT NAME, STATE FROM INFORMATION_SCHEMA.INNODB_TABLESPACES
WHERE NAME LIKE tablepace_name
;
Once the undo tablespace is in an empty
state, it can be reactivated by issuing the following statement:
ALTER UNDO TABLESPACE tablespace_name
SET ACTIVE;
An undo tablespace in an empty
state can also
be dropped. See Dropping Undo Tablespaces.
The purge thread is responsible for emptying and truncating undo
tablespaces. By default, the purge thread looks for undo
tablespaces to truncate once every 128 times that purge is
invoked. The frequency with which the purge thread looks for
undo tablespaces to truncate is controlled by the
innodb_purge_rseg_truncate_frequency
variable, which has a default setting of 128.
mysql> SELECT @@innodb_purge_rseg_truncate_frequency;
+----------------------------------------+
| @@innodb_purge_rseg_truncate_frequency |
+----------------------------------------+
| 128 |
+----------------------------------------+
To increase that frequency, decrease the
innodb_purge_rseg_truncate_frequency
setting. For example, to have the purge thread look for undo
tabespaces once every 32 timees that purge is invoked, set
innodb_purge_rseg_truncate_frequency
to 32.
mysql> SET GLOBAL innodb_purge_rseg_truncate_frequency=32;
When the purge thread finds an undo tablespace that requires truncation, the purge thread returns with increased frequency to quickly empty and truncate the undo tablespace.
When an undo tablespace is truncated, the rollback segments in the undo tablespace are deactivated. The active rollback segments in other undo tablespaces assume responsibility for the entire system load, which may result in a slight performance degradation. The amount of performance degradation depends on a number of factors:
Number of undo tablespaces
Number of undo logs
Undo tablespace size
Speed of the I/O susbsystem
Existing long running transactions
System load
The easiest way to avoid impacting performance when truncating undo tablepaces is to increase the number of undo tablespaces.
As of MySQL 8.0.16, undo
and
purge
susbsystem counters are provided for
monitoring background activities associated with undo log
truncation. For counter names and descriptions, query the
INFORMATION_SCHEMA.INNODB_METRICS
table.
SELECT NAME, SUBSYSTEM, COMMENT FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME LIKE '%truncate%';
For information about enabling counters and querying counter data, see Section 15.14.6, “InnoDB INFORMATION_SCHEMA Metrics Table”.
InnoDB
uses session temporary tablespaces and a
global temporary tablespace.
Session temporary tablespaces store user-created temporary
tables and internal temporary tables created by the optimizer
when InnoDB
is configured as the storage
engine for on-disk internal temporary tables. Beginning with
MySQL 8.0.16, the storage engine used for on-disk internal
temporary tables is always InnoDB
.
(Previously, the storage engine was determined by by the value
of
internal_tmp_disk_storage_engine
.)
Session temporary tablespaces are allocated to a session from a
pool of temporary tablespaces on the first request to create an
on-disk temporary table. A maximum of two tablespaces is
allocated to a session, one for user-created temporary tables
and the other for internal temporary tables created by the
optimizer. The temporary tablespaces allocated to a session are
used for all on-disk temporary tables created by the session.
When a session disconnects, its temporary tablespaces are
truncated and released back to the pool. A pool of 10 temporary
tablespaces is created when the server is started. The size of
the pool never shrinks and tablespaces are added to the pool
automatically as necessary. The pool of temporary tablespaces is
removed on normal shutdown or on an aborted initialization.
Session temporary tablespace files are five pages in size when
created and have an .ibt
file name
extension.
A range of 400 thousand space IDs is reserved for session temporary tablespaces. Because the pool of session temporary tablespaces is recreated each time the server is started, space IDs for session temporary tablespaces are not persisted when the server is shut down and may be reused.
The innodb_temp_tablespaces_dir
variable defines the location where session temporary
tablespaces are created. The default location is the
#innodb_temp
directory in the data
directory. Startup is refused if the pool of temporary
tablespaces cannot be created.
shell> cd BASEDIR
/data/#innodb_temp
shell> ls
temp_10.ibt temp_2.ibt temp_4.ibt temp_6.ibt temp_8.ibt
temp_1.ibt temp_3.ibt temp_5.ibt temp_7.ibt temp_9.ibt
In statement based replication (SBR) mode, temporary tables created on a slave reside in a single session temporary tablespace that is truncated only when the MySQL server is shut down.
The INNODB_SESSION_TEMP_TABLESPACES
table provides metadata about session temporary tablespaces.
The
INFORMATION_SCHEMA.INNODB_TEMP_TABLE_INFO
table provides metadata about user-created temporary tables that
are active in an InnoDB
instance.
The global temporary tablespace (ibtmp1
)
stores rollback segments for changes made to user-created
temporary tables.
The innodb_temp_data_file_path
variable defines the relative path, name, size, and attributes
for global temporary tablespace data files. If no value is
specified for
innodb_temp_data_file_path
, the
default behavior is to create a single auto-extending data file
named ibtmp1
in the
innodb_data_home_dir
directory.
The initial file size is slightly larger than 12MB.
The global temporary tablespace is removed on normal shutdown or on an aborted initialization, and recreated each time the server is started. The global temporary tablespace receives a dynamically generated space ID when it is created. Startup is refused if the global temporary tablespace cannot be created. The global temporary tablespace is not removed if the server halts unexpectedly. In this case, a database administrator can remove the global temporary tablespace manually or restart the MySQL server. Restarting the MySQL server removes and recreates the global temporary tablespace automatically.
The global temporary tablespace cannot reside on a raw device.
INFORMATION_SCHEMA.FILES
provides
metadata about the global temporary tablespace. Issue a query
similar to this one to view global temporary tablespace
metadata:
mysql> SELECT * FROM INFORMATION_SCHEMA.FILES WHERE TABLESPACE_NAME='innodb_temporary'\G
By default, the global temporary tablespace data file is autoextending and increases in size as necessary.
To determine if a global temporary tablespace data file is
autoextending, check the
innodb_temp_data_file_path
setting:
mysql> SELECT @@innodb_temp_data_file_path;
+------------------------------+
| @@innodb_temp_data_file_path |
+------------------------------+
| ibtmp1:12M:autoextend |
+------------------------------+
To check the size of global temporary tablespace data files,
query the INFORMATION_SCHEMA.FILES
table using a query similar to this one:
mysql>SELECT FILE_NAME, TABLESPACE_NAME, ENGINE, INITIAL_SIZE, TOTAL_EXTENTS*EXTENT_SIZE
AS TotalSizeBytes, DATA_FREE, MAXIMUM_SIZE FROM INFORMATION_SCHEMA.FILES
WHERE TABLESPACE_NAME = 'innodb_temporary'\G
*************************** 1. row *************************** FILE_NAME: ./ibtmp1 TABLESPACE_NAME: innodb_temporary ENGINE: InnoDB INITIAL_SIZE: 12582912 TotalSizeBytes: 12582912 DATA_FREE: 6291456 MAXIMUM_SIZE: NULL
TotalSizeBytes
shows the current size of the
global temporary tablespace data file. For information about
other field values, see Section 25.11, “The INFORMATION_SCHEMA FILES Table”.
Alternatively, check the global temporary tablespace data file
size on your operating system. The global temporary tablespace
data file is located in the directory defined by the
innodb_temp_data_file_path
variable.
To reclaim disk space occupied by a global temporary tablespace
data file, restart the MySQL server. Restarting the server
removes and recreates the global temporary tablespace data file
according to the attributes defined by
innodb_temp_data_file_path
.
To limit the size of the global temporary tablespace data file,
configure
innodb_temp_data_file_path
to
specify a maximum file size. For example:
[mysqld] innodb_temp_data_file_path=ibtmp1:12M:autoextend:max:500M
Configuring
innodb_temp_data_file_path
requires restarting the server.
The CREATE TABLE ...
DATA DIRECTORY
clause permits creating a
file-per-table
tablespace outside of the data directory. For example, you can use
the DATA DIRECTORY
clause to create a
tablespace on a separate storage device with particular
performance or capacity characteristics, such as a fast
SSD or a high-capacity
HDD.
Be sure of the location that you choose. The DATA
DIRECTORY
clause cannot be used with
ALTER TABLE
to change the location
later.
The tablespace data file is created in the specified directory, within in a subdirectory named for the schema to which the table belongs.
The following example demonstrates creating a file-per-table
tablespace outside of the data directory. It is assumed that the
innodb_file_per_table
variable is
enabled.
mysql>USE test;
Database changed mysql>CREATE TABLE t1 (c1 INT PRIMARY KEY) DATA DIRECTORY = '
# MySQL creates the tablespace file in a subdirectory that is named # for the schema to which the table belongs shell>/remote/directory
';cd /remote/directory/test
shell>ls
t1.ibd
When creating a tablespace outside of the data directory, ensure
that the directory is known to InnoDB
.
Otherwise, if the server halts unexpectedly before tablespace data
file pages are fully flushed, startup fails when the tablespace is
not found during the pre-recovery discovery phase that searches
known directories for tablespace data files. To make a directory
known, add it to the
innodb_directories
argument
value. innodb_directories
is a
read-only startup option that defines directories to scan at
startup for tablespace data files. Configuring it requires
restarting the server.
CREATE TABLE ...
TABLESPACE
syntax can also be used in combination with
the DATA DIRECTORY
clause to create a
file-per-table tablespace outside of the data directory. To do so,
specify innodb_file_per_table
as the tablespace
name.
mysql>CREATE TABLE t2 (c1 INT PRIMARY KEY) TABLESPACE = innodb_file_per_table
DATA DIRECTORY = '/remote/directory';
The innodb_file_per_table
variable does not need to be enabled when using this method.
MySQL initially holds the tablespace data file open, preventing you from dismounting the device, but might eventually close the table if the server is busy. Be careful not to accidentally dismount an external device while MySQL is running, or start MySQL while the device is disconnected. Attempting to access a table when the associated tablespace data file is missing causes a serious error that requires a server restart.
A server restart issues errors and warnings if the tablespace data file is not at the expected path. In this case, you can restore the tablespace data file from a backup or drop the table to remove the information about it from the data dictionary.
Before placing a tablespace on an NFS-mounted volume, review potential issues outlined in Using NFS with MySQL.
If using an LVM snapshot, file copy, or other file-based
mechanism to back up the tablespace data file, always use the
FLUSH
TABLES ... FOR EXPORT
statement first to ensure that
all changes buffered in memory are
flushed to disk before the
backup occurs.
Using the DATA DIRECTORY
clause is an
alternative to using symbolic
links, which is not supported.
This section describes how to copy a
file-per-table
tablespaces from one MySQL instance to another, otherwise known as
the Transportable
Tablespaces feature. This feature also supports partitioned
InnoDB
tables and individual
InnoDB
table partitions and subpartitions.
For information about other InnoDB
table
copying methods, see Section 15.6.1.2, “Moving or Copying InnoDB Tables”.
There are many reasons why you might copy an
InnoDB
file-per-table
tablespace to a different instance:
To run reports without putting extra load on a production server.
To set up identical data for a table on a new slave server.
To restore a backed-up version of a table or partition after a problem or mistake.
As a faster way of moving data around than importing the results of a mysqldump command. The data is available immediately, rather than having to be re-inserted and the indexes rebuilt.
To move a file-per-table tablespace to a server with storage medium that better suits system requirements. For example, you may want to have busy tables on an SSD device, or large tables on a high-capacity HDD device.
The tablespace copy procedure is only possible when
innodb_file_per_table
is
enabled, which is the default setting. Tables residing in the
shared system tablespace cannot be quiesced.
When a table is quiesced, only read-only transactions are allowed on the affected table.
When importing a tablespace, the page size must match the page size of the importing instance.
ALTER TABLE ...
DISCARD TABLESPACE
is supported for partitioned
InnoDB
tables, and
ALTER TABLE ...
DISCARD PARTITION ... TABLESPACE
is supported for
InnoDB
table partitions.
DISCARD TABLESPACE
is not supported for
tablespaces with a parent-child (primary key-foreign key)
relationship when
foreign_key_checks
is set to
1
. Before discarding a tablespace for
parent-child tables, set
foreign_key_checks=0
. Partitioned
InnoDB
tables do not support foreign keys.
ALTER TABLE ...
IMPORT TABLESPACE
does not enforce foreign key
constraints on imported data. If there are foreign key
constraints between tables, all tables should be exported at
the same (logical) point in time. Partitioned
InnoDB
tables do not support foreign keys.
ALTER TABLE ...
IMPORT TABLESPACE
and
ALTER TABLE ...
IMPORT PARTITION ... TABLESPACE
do not require a
.cfg
metadata file to import a
tablespace. However, metadata checks are not performed when
importing without a .cfg
file, and a
warning similar to the following is issued:
Message: InnoDB: IO Read error: (2, No such file or directory) Error opening '.\ test\t.cfg', will attempt to import without schema verification 1 row in set (0.00 sec)
The ability to import without a .cfg
file
may be more convenient when no schema mismatches are expected.
Additionally, the ability to import without a
.cfg
file could be useful in crash
recovery scenarios in which metadata cannot be collected from
an .ibd
file.
If no .cfg
file is used,
InnoDB
uses the equivalent of a
SELECT MAX(ai_col) FROM
statement to initialize the in-memory auto-increment counter
that is used in assigning values for to an
table_name
FOR UPDATEAUTO_INCREMENT
column. Otherwise, the
current maximum auto-increment counter value is read from the
.cfg
metadata file. For related
information, see
InnoDB AUTO_INCREMENT Counter Initialization.
Due to a .cfg
metadata file limitation,
schema mismatches are not reported for partition type or
partition definition differences when importing tablespace
files for partitioned tables. Column differences are reported.
When running
ALTER TABLE ...
DISCARD PARTITION ... TABLESPACE
and
ALTER TABLE ...
IMPORT PARTITION ... TABLESPACE
on subpartitioned
tables, both partition and subpartition table names are
allowed. When a partition name is specified, subpartitions of
that partition are included in the operation.
Importing a tablespace file from another MySQL server instance works if both instances have GA (General Availability) status and the server instance into which the file is imported is at the same or higher release level within the same release series. Importing a tablespace file into a server instance running an earlier release of MySQL is not supported.
In replication scenarios,
innodb_file_per_table
must be
set to ON
on both the master and slave.
On Windows, InnoDB
stores database,
tablespace, and table names internally in lowercase. To avoid
import problems on case-sensitive operating systems such as
Linux and UNIX, create all databases, tablespaces, and tables
using lowercase names. A convenient way to accomplish this is
to add the following line to the [mysqld]
section of your my.cnf
or
my.ini
file before creating databases,
tablespaces, or tables:
[mysqld] lower_case_table_names=1
It is prohibited to start the server with a
lower_case_table_names
setting that is different from the setting used when the
server was initialized.
ALTER TABLE ...
DISCARD TABLESPACE
and
ALTER TABLE
...IMPORT TABLESPACE
are not supported with tables
that belong to an InnoDB
general
tablespace. For more information, see
CREATE TABLESPACE
.
The default row format for InnoDB
tables is
configurable using the
innodb_default_row_format
configuration option. Attempting to import a table that does
not explicitly define a row format
(ROW_FORMAT
), or that uses
ROW_FORMAT=DEFAULT
, could result in a
schema mismatch error if the
innodb_default_row_format
setting on the source instance differs from the setting on the
destination instance. For related information, see
Defining the Row Format of a Table.
When exporting a tablespace that is encrypted using the
InnoDB
tablespace encryption feature,
InnoDB
generates a
.cfp
file in addition to a
.cfg
metadata file. The
.cfp
file must be copied to the
destination instance together with the
.cfg
file and tablespace file before
performing the
ALTER TABLE ...
IMPORT TABLESPACE
operation on the destination
instance. The .cfp
file contains a
transfer key and an encrypted tablespace key. On import,
InnoDB
uses the transfer key to decrypt the
tablespace key. For related information, see
Section 15.6.3.9, “Tablespace Encryption”.
FLUSH
TABLES ... FOR EXPORT
is not supported on tables
that have a FULLTEXT index. Full-text search auxiliary tables
are not flushed. After importing a table with a
FULLTEXT
index, run
OPTIMIZE TABLE
to rebuild the
FULLTEXT
indexes. Alternatively, drop
FULLTEXT
indexes before the export
operation and recreate them after importing the table on the
destination instance.
If you are transporting tables that are encrypted using the
InnoDB
tablespace encryption, see
Limitations and Usage Notes
before you begin for additional procedural information.
This procedure demonstrates how to copy a regular
InnoDB
table from a running MySQL server
instance to another running instance. The same procedure with
minor adjustments can be used to perform a full table restore on
the same instance.
On the source instance, create a table if one does not exist:
mysql>USE test;
mysql>CREATE TABLE t(c1 INT) ENGINE=InnoDB;
On the destination instance, create a table if one does not exist:
mysql>USE test;
mysql>CREATE TABLE t(c1 INT) ENGINE=InnoDB;
On the destination instance, discard the existing
tablespace. (Before a tablespace can be imported,
InnoDB
must discard the tablespace that
is attached to the receiving table.)
mysql> ALTER TABLE t DISCARD TABLESPACE;
On the source instance, run
FLUSH
TABLES ... FOR EXPORT
to quiesce the table and
create the .cfg
metadata file:
mysql>USE test;
mysql>FLUSH TABLES t FOR EXPORT;
The metadata (.cfg
) is created in the
InnoDB
data directory.
The
FLUSH
TABLES ... FOR EXPORT
statement ensures that
changes to the named table have been flushed to disk so
that a binary table copy can be made while the instance is
running. When
FLUSH
TABLES ... FOR EXPORT
is run,
InnoDB
produces a
.cfg
file in the same database
directory as the table. The .cfg
file
contains metadata used for schema verification when
importing the tablespace file.
Copy the .ibd
file and
.cfg
metadata file from the source
instance to the destination instance. For example:
shell> scp /path/to/datadir
/test/t.{ibd,cfg} destination-server:/path/to/datadir
/test
The .ibd
file and
.cfg
file must be copied before
releasing the shared locks, as described in the next step.
On the source instance, use
UNLOCK
TABLES
to release the locks acquired by
FLUSH
TABLES ... FOR EXPORT
:
mysql>USE test;
mysql>UNLOCK TABLES;
On the destination instance, import the tablespace:
mysql>USE test;
mysql>ALTER TABLE t IMPORT TABLESPACE;
The ALTER
TABLE ... IMPORT TABLESPACE
feature does not
enforce foreign key constraints on imported data. If there
are foreign key constraints between tables, all tables
should be exported at the same (logical) point in time. In
this case you would stop updating the tables, commit all
transactions, acquire shared locks on the tables, and then
perform the export operation.
This procedure demonstrates how to copy a partitioned
InnoDB
table from a running MySQL server
instance to another running instance. The same procedure with
minor adjustments can be used to perform a full restore of a
partitioned InnoDB
table on the same
instance.
On the source instance, create a partitioned table if one does not exist. In the following example, a table with three partitions (p0, p1, p2) is created:
mysql>USE test;
mysql>CREATE TABLE t1 (i int) ENGINE = InnoDB PARTITION BY KEY (i) PARTITIONS 3;
In the
/
directory, there is a separate tablespace
(datadir
/test.ibd
) file for each of the three
partitions.
mysql> \! ls /path/to/datadir
/test/
t1#P#p0.ibd t1#P#p1.ibd t1#P#p2.ibd
On the destination instance, create the same partitioned table:
mysql>USE test;
mysql>CREATE TABLE t1 (i int) ENGINE = InnoDB PARTITION BY KEY (i) PARTITIONS 3;
In the
/
directory, there is a separate tablespace
(datadir
/test.ibd
) file for each of the three
partitions.
mysql> \! ls /path/to/datadir
/test/
t1#P#p0.ibd t1#P#p1.ibd t1#P#p2.ibd
On the destination instance, discard the tablespace for the partitioned table. (Before the tablespace can be imported on the destination instance, the tablespace that is attached to the receiving table must be discarded.)
mysql> ALTER TABLE t1 DISCARD TABLESPACE;
The three .ibd
files that make up the
tablespace for the partitioned table are discarded from the
/
directory.
datadir
/test
On the source instance, run
FLUSH
TABLES ... FOR EXPORT
to quiesce the partitioned
table and create the .cfg
metadata
files:
mysql>USE test;
mysql>FLUSH TABLES t1 FOR EXPORT;
Metadata (.cfg
) files, one for each
tablespace (.ibd
) file, are created in
the
/
directory on the source instance:
datadir
/test
mysql> \! ls /path/to/datadir
/test/
t1#P#p0.ibd t1#P#p1.ibd t1#P#p2.ibd
t1#P#p0.cfg t1#P#p1.cfg t1#P#p2.cfg
FLUSH
TABLES ... FOR EXPORT
statement ensures that
changes to the named table have been flushed to disk so
that binary table copy can be made while the instance is
running. When
FLUSH
TABLES ... FOR EXPORT
is run,
InnoDB
produces a
.cfg
metadata file for the table's
tablespace files in the same database directory as the
table. The .cfg
files contain
metadata used for schema verification when importing
tablespace files.
FLUSH
TABLES ... FOR EXPORT
can only be run on the
table, not on individual table partitions.
Copy the .ibd
and
.cfg
files from the source instance
database directory to the destination instance database
directory. For example:
shell>scp /path/to/datadir
/test/t1*.{ibd,cfg} destination-server:/path/to/datadir
/test
The .ibd
and
.cfg
files must be copied before
releasing the shared locks, as described in the next step.
On the source instance, use
UNLOCK
TABLES
to release the locks acquired by
FLUSH
TABLES ... FOR EXPORT
:
mysql>USE test;
mysql>UNLOCK TABLES;
On the destination instance, import the tablespace for the partitioned table:
mysql>USE test;
mysql>ALTER TABLE t1 IMPORT TABLESPACE;
This procedure demonstrates how to copy
InnoDB
table partitions from a running MySQL
server instance to another running instance. The same procedure
with minor adjustments can be used to perform a restore of
InnoDB
table partitions on the same instance.
In the following example, a partitioned table with four
partitions (p0, p1, p2, p3) is created on the source instance.
Two of the partitions (p2 and p3) are copied to the destination
instance.
On the source instance, create a partitioned table if one does not exist. In the following example, a table with four partitions (p0, p1, p2, p3) is created:
mysql>USE test;
mysql>CREATE TABLE t1 (i int) ENGINE = InnoDB PARTITION BY KEY (i) PARTITIONS 4;
In the
/
directory, there is a separate tablespace
(datadir
/test.ibd
) file for each of the four
partitions.
mysql> \! ls /path/to/datadir
/test/
t1#P#p0.ibd t1#P#p1.ibd t1#P#p2.ibd t1#P#p3.ibd
On the destination instance, create the same partitioned table:
mysql>USE test;
mysql>CREATE TABLE t1 (i int) ENGINE = InnoDB PARTITION BY KEY (i) PARTITIONS 4;
In the
/
directory, there is a separate tablespace
(datadir
/test.ibd
) file for each of the four
partitions.
mysql> \! ls /path/to/datadir
/test/
t1#P#p0.ibd t1#P#p1.ibd t1#P#p2.ibd t1#P#p3.ibd
On the destination instance, discard the tablespace partitions that you plan to import from the source instance. (Before tablespace partitions can be imported on the destination instance, the corresponding partitions that are attached to the receiving table must be discarded.)
mysql> ALTER TABLE t1 DISCARD PARTITION p2, p3 TABLESPACE;
The .ibd
files for the two discarded
partitions are removed from the
/
directory on the destination instance, leaving the following
files:
datadir
/test
mysql> \! ls /path/to/datadir
/test/
t1#P#p0.ibd t1#P#p1.ibd
When ALTER
TABLE ... DISCARD PARTITION ... TABLESPACE
is
run on subpartitioned tables, both partition and
subpartition table names are allowed. When a partition
name is specified, subpartitions of that partition are
included in the operation.
On the source instance, run
FLUSH
TABLES ... FOR EXPORT
to quiesce the partitioned
table and create the .cfg
metadata
files.
mysql>USE test;
mysql>FLUSH TABLES t1 FOR EXPORT;
The metadata files (.cfg
files) are
created in the
/
directory on the source instance. There is a
datadir
/test.cfg
file for each tablespace
(.ibd
) file.
mysql> \! ls /path/to/datadir
/test/
t1#P#p0.ibd t1#P#p1.ibd t1#P#p2.ibd t1#P#p3.ibd
t1#P#p0.cfg t1#P#p1.cfg t1#P#p2.cfg t1#P#p3.cfg
FLUSH
TABLES ... FOR EXPORT
statement ensures that
changes to the named table have been flushed to disk so
that binary table copy can be made while the instance is
running. When
FLUSH
TABLES ... FOR EXPORT
is run,
InnoDB
produces a
.cfg
metadata file for the table's
tablespace files in the same database directory as the
table. The .cfg
files contain
metadata used for schema verification when importing
tablespace files.
FLUSH
TABLES ... FOR EXPORT
can only be run on the
table, not on individual table partitions.
Copy the .ibd
and
.cfg
files from the source instance
database directory to the destination instance database
directory. In this example, only the
.ibd
and .cfg
files for partition 2 (p2) and partition 3 (p3) are copied
to the data
directory on the
destination instance. Partition 0 (p0) and partition 1 (p1)
remain on the source instance.
shell> scp t1#P#p2.ibd t1#P#p2.cfg t1#P#p3.ibd t1#P#p3.cfg destination-server:/path/to/datadir
/test
The .ibd
files and
.cfg
files must be copied before
releasing the shared locks, as described in the next step.
On the source instance, use
UNLOCK
TABLES
to release the locks acquired by
FLUSH
TABLES ... FOR EXPORT
:
mysql>USE test;
mysql>UNLOCK TABLES;
On the destination instance, import the tablespace partitions (p2 and p3):
mysql>USE test;
mysql>ALTER TABLE t1 IMPORT PARTITION p2, p3 TABLESPACE;
When ALTER
TABLE ... IMPORT PARTITION ... TABLESPACE
is run
on subpartitioned tables, both partition and subpartition
table names are allowed. When a partition name is
specified, subpartitions of that partition are included in
the operation.
The following information describes internals and error log
messaging for the transportable tablespaces copy procedure for a
regular InnoDB
table.
When ALTER TABLE
... DISCARD TABLESPACE
is run on the destination
instance:
The table is locked in X mode.
The tablespace is detached from the table.
When
FLUSH
TABLES ... FOR EXPORT
is run on the source instance:
The table being flushed for export is locked in shared mode.
The purge coordinator thread is stopped.
Dirty pages are synchronized to disk.
Table metadata is written to the binary
.cfg
file.
Expected error log messages for this operation:
2013-09-24T13:10:19.903526Z 2 [Note] InnoDB: Sync to disk of '"test"."t"' started. 2013-09-24T13:10:19.903586Z 2 [Note] InnoDB: Stopping purge 2013-09-24T13:10:19.903725Z 2 [Note] InnoDB: Writing table metadata to './test/t.cfg' 2013-09-24T13:10:19.904014Z 2 [Note] InnoDB: Table '"test"."t"' flushed to disk
When UNLOCK
TABLES
is run on the source instance:
The binary .cfg file is deleted.
The shared lock on the table or tables being imported is released and the purge coordinator thread is restarted.
Expected error log messages for this operation:
2013-09-24T13:10:21.181104Z 2 [Note] InnoDB: Deleting the meta-data file './test/t.cfg' 2013-09-24T13:10:21.181180Z 2 [Note] InnoDB: Resuming purge
When ALTER TABLE
... IMPORT TABLESPACE
is run on the destination
instance, the import algorithm performs the following operations
for each tablespace being imported:
Each tablespace page is checked for corruption.
The space ID and log sequence numbers (LSNs) on each page are updated
Flags are validated and LSN updated for the header page.
Btree pages are updated.
The page state is set to dirty so that it is written to disk.
Expected error log messages for this operation:
2013-07-18 15:15:01 34960 [Note] InnoDB: Importing tablespace for table 'test/t' that was exported from host 'ubuntu' 2013-07-18 15:15:01 34960 [Note] InnoDB: Phase I - Update all pages 2013-07-18 15:15:01 34960 [Note] InnoDB: Sync to disk 2013-07-18 15:15:01 34960 [Note] InnoDB: Sync to disk - done! 2013-07-18 15:15:01 34960 [Note] InnoDB: Phase III - Flush changes to disk 2013-07-18 15:15:01 34960 [Note] InnoDB: Phase IV - Flush complete
You may also receive a warning that a tablespace is discarded
(if you discarded the tablespace for the destination table)
and a message stating that statistics could not be calculated
due to a missing .ibd
file:
2013-07-18 15:14:38 34960 [Warning] InnoDB: Table "test"."t" tablespace is set as discarded. 2013-07-18 15:14:38 7f34d9a37700 InnoDB: cannot calculate statistics for table "test"."t" because the .ibd file is missing. For help, please refer to http://dev.mysql.com/doc/refman/8.0/en/innodb-troubleshooting.html
The innodb_directories
option,
which defines directories to scan at startup for tablespace files,
supports moving or restoring tablespace files to a new location
while the server is offline. During startup, discovered tablespace
files are used instead those referenced in the data dictionary,
and the data dictionary is updated to reference the relocated
files. If duplicate tablespace files are discovered by the scan,
startup fails with an error indicating that multiple files were
found for the same tablespace ID.
The directories defined by the
innodb_data_home_dir
,
innodb_undo_directory
, and
datadir
configuration options are
automatically appended to the
innodb_directories
argument
value. These directories are scanned at startup regardless of
whether the innodb_directories
option is specified explicitly. The implicit addition of these
directories permits moving system tablespace files, the data
directory, or undo tablespace files without configuring the
innodb_directories
setting.
However, settings must be updated when directories change. For
example, after relocating the data directory, you must update the
--datadir
setting before
restarting the server.
The innodb_directories
option may
be specified in a startup command or MySQL option file. Quotes are
used around the argument value because otherwise a semicolon (;)
is interpreted as a special character by some command
interpreters. (Unix shells treat it as a command terminator, for
example.)
Startup command:
mysqld --innodb-directories="directory_path_1
;directory_path_2
"
MySQL option file:
[mysqld] innodb_directories="directory_path_1
;directory_path_2
"
The following procedure is applicable to moving individual file-per-table and general tablespace files, system tablespace files, undo tablespace files, or the data directory. Before moving files or directories, review the usage notes that follow.
Stop the server.
Move the tablespace files or directories.
Make the new directory known to InnoDB
.
If moving individual
file-per-table
or general
tablespace files, add unknown directories to the
innodb_directories
value.
The directories defined by the
innodb_data_home_dir
,
innodb_undo_directory
,
and datadir
configuration options are automatically appended to
the
innodb_directories
argument value, so you need not specify these.
A file-per-table tablespace file can only be moved to
a directory with same name as the schema. For example,
if the actor
table belongs to the
sakila
schema, then the
actor.ibd
data file can only be
moved to a directory named
sakila
.
General tablespace files cannot be moved to the data directory or a subdirectory of the data directory.
If moving system tablespace files, undo tablespaces, or
the data directory, update the
innodb_data_home_dir
,
innodb_undo_directory
,
and datadir
settings, as
necessary.
Restart the server.
Wildcard expressions cannot be used in the
innodb_directories
argument
value.
The innodb_directories
scan
also traverses subdirectories of specified directories.
Duplicate directories and subdirectories are discarded from
the list of directories to be scanned.
The innodb_directories
option
only supports moving InnoDB
tablespace
files. Moving files that belong to a storage engine other than
InnoDB
is not supported. This restriction
also applies when moving the entire data directory.
The innodb_directories
option
supports renaming of tablespace files when moving files to a
scanned directory. It also supports moving tablespaces files
to other supported operating systems.
When moving tablespace files to a different operating system, ensure that tablespace file names do not include prohibited characters or characters with a special meaning on the destination system.
When moving a data directory from a Windows operating system
to a Linux operating system, modify the binary log file paths
in the binary log index file to use backward slashes instead
of forward slashes. By default, the binary log index file has
the same base name as the binary log file, with the extension
'.index
'. The location of the binary log
index file is defined by
--log-bin
. The default location
is the data directory.
If moving tablespace files to a different operating system
introduces cross-platform replication, it is the
responsibility of the Database Administrator to ensure proper
replication of DDL statements that contain platform-specific
directories. Statements that permit specifying directories
include CREATE
TABLE ... DATA DIRECTORY
and
CREATE TABLESPACE
.
The directory of file-per-table and general tablespace files
created with an absolute path or in a location outside of the
data directory should be added to the
innodb_directories
argument
value. Otherwise, InnoDB
is not able to
locate these files during recovery.
CREATE TABLE ...
DATA DIRECTORY
and CREATE
TABLESPACE
permit creation of tablespace files with
absolute paths. CREATE
TABLESPACE
also permits tablespace file directories
that are relative to the data directory. To view tablespace
file locations, query the
INFORMATION_SCHEMA.FILES
table:
mysql> SELECT TABLESPACE_NAME, FILE_NAME FROM INFORMATION_SCHEMA.FILES \G
CREATE TABLESPACE
requires that
the target directory exists and is known to
InnoDB
. Known directories include those
implicitly and explicitly defined by the
innodb_directories
option.
The InnoDB
tablespace encryption feature
provides at-rest data encryption for
file-per-table
tablespaces,
general
tablespaces, and the mysql
system tablespace.
Encryption support for general tablespaces was introduced in MySQL
8.0.13. Encryption support for the mysql
system
tablespace is available as of MySQL 8.0.16.
Tablespace encryption uses a two tier encryption key
architecture, consisting of a master encryption key and
tablespace keys. When a tablespace is encrypted, a tablespace
key is encrypted and stored in the tablespace header. When an
application or authenticated user wants to access encrypted
tablespace data, InnoDB
uses a master
encryption key to decrypt the tablespace key. The decrypted
version of a tablespace key never changes, but the master
encryption key can be changed as required. This action is
referred to as master key rotation.
The tablespace encryption feature relies on a keyring plugin for master encryption key management.
All MySQL editions provide a keyring_file
plugin, which stores keyring data in a file local to the server
host.
MySQL Enterprise Edition offers additional keyring plugins:
The keyring_encrypted_file
plugin, which
stores keyring data in an encrypted file local to the server
host.
The keyring_okv
plugin, which includes a
KMIP client (KMIP 1.1) that uses a KMIP-compatible product
as a back end for keyring storage. Supported KMIP-compatible
products include centralized key management solutions such
as Oracle Key Vault, Gemalto KeySecure, Thales Vormetric key
management server, and Fornetix Key Orchestration.
The keyring_aws
plugin, which
communicates with the Amazon Web Services Key Management
Service (AWS KMS) as a back end for key generation and uses
a local file for key storage.
The keyring_file
and
keyring_encrypted file
plugins are not
intended as regulatory compliance solutions. Security
standards such as PCI, FIPS, and others require use of key
management systems to secure, manage, and protect encryption
keys in key vaults or hardware security modules (HSMs).
A secure and robust encryption key management solution is critical for security and for compliance with various security standards. When the tablespace encryption feature uses a centralized key management solution, the feature is referred to as “MySQL Enterprise Transparent Data Encryption (TDE)”.
Tablespace encryption supports the Advanced Encryption Standard (AES) block-based encryption algorithm. It uses Electronic Codebook (ECB) block encryption mode for tablespace key encryption and Cipher Block Chaining (CBC) block encryption mode for data encryption.
For frequently asked questions about the tablespace encryption feature, see Section A.16, “MySQL 8.0 FAQ: InnoDB Tablespace Encryption”.
A keyring plugin must be installed and configured. Keyring
plugin installation is performed at startup using the
early-plugin-load
option.
Early loading ensures that the plugin is available prior to
initialization of the InnoDB
storage
engine. For keyring plugin installation and configuration
instructions, see Section 6.5.4, “The MySQL Keyring”.
Only one keyring plugin can be enabled at a time. Enabling multiple keyring plugins is not supported.
Once encrypted tablespaces are created in a MySQL
instance, the keyring plugin that was loaded when creating
the encrypted tablespace must continue to be loaded at
startup using the
early-plugin-load
option.
Failing to do so results in errors when starting the
server and during InnoDB
recovery.
To verify that a keyring plugin is active, use the
SHOW PLUGINS
statement or
query the
INFORMATION_SCHEMA.PLUGINS
table. For example:
mysql>SELECT PLUGIN_NAME, PLUGIN_STATUS
FROM INFORMATION_SCHEMA.PLUGINS
WHERE PLUGIN_NAME LIKE 'keyring%';
+--------------+---------------+ | PLUGIN_NAME | PLUGIN_STATUS | +--------------+---------------+ | keyring_file | ACTIVE | +--------------+---------------+
Encryption is supported for file-per-table tablespaces,
general tablespaces, and the mysql
system
tablespace. To create a table in a file-per-table
tablespace, ensure that
innodb_file_per_table
is
enabled (the default) before executing a
CREATE TABLE
statement.
Alternatively, use the
TABLESPACE='innodb_file_per_table'
clause
in CREATE TABLE
statements.
There is no similar prerequisite associated with creation of
general tablespaces, which are created using
CREATE TABLESPACE
syntax.
When encrypting production data, ensure that you take steps
to prevent loss of the master encryption key. If
the master encryption key is lost, data stored in encrypted
tablespace files is unrecoverable. If you use the
keyring_file
or
keyring_encrypted_file
plugin, create a
backup of the keyring data file immediately after creating
the first encrypted tablespace, before master key rotation,
and after master key rotation. The
keyring_file_data
configuration option defines the keyring data file location
for the keyring_file
plugin. The
keyring_encrypted_file_data
configuration option defines the keyring data file location
for the keyring_encrypted_file
plugin. If
you use the keyring_okv
or
keyring_aws
plugin, ensure that you have
performed the necessary configuration. For instructions, see
Section 6.5.4, “The MySQL Keyring”.
To enable encryption for a new file-per-table tablespace,
specify the ENCRYPTION
option in a
CREATE TABLE
statement.
mysql> CREATE TABLE t1 (c1 INT) ENCRYPTION = 'Y';
To enable encryption for an existing file-per-table tablespace,
specify the ENCRYPTION
option in an
ALTER TABLE
statement.
mysql> ALTER TABLE t1 ENCRYPTION = 'Y';
To disable encryption for a file-per-table tablespace, set
ENCRYPTION = 'N'
using
ALTER TABLE
.
mysql> ALTER TABLE t1 ENCRYPTION = 'N';
To enable encryption for a new general tablespace, specify the
ENCRYPTION
option in a
CREATE TABLESPACE
statement.
mysql> CREATE TABLESPACE `ts1` ADD DATAFILE 'ts1.ibd' ENCRYPTION = 'Y' Engine=InnoDB;
To enable encryption for an existing general tablespace, specify
the ENCRYPTION
option in an
ALTER TABLESPACE
statement.
mysql> ALTER TABLESPACE ts1 ENCRYPTION = 'Y';
To disable encryption for general tablespace, set
ENCRYPTION = 'N'
using
ALTER TABLESPACE
.
mysql> ALTER TABLESPACE ts1 ENCRYPTION = 'N';
Encryption support for the mysql
system
tablespace is available as of MySQL 8.0.16.
The mysql
system tablespace contains the
mysql
system database and MySQL data
dictionary tables. It is unencrypted by default. To enable
encryption for the mysql
system tablespace,
specify the tablespace name and the
ENCRYPTION
option in an
ALTER TABLESPACE
statement.
mysql> ALTER TABLESPACE mysql ENCRYPTION = 'Y';
To disable encryption for the mysql
system
tablespace, set ENCRYPTION = 'N'
using an
ALTER TABLESPACE
statement.
mysql> ALTER TABLESPACE mysql ENCRYPTION = 'N';
Enabling or disabling encryption for the
mysql
system tablespace requires the
CREATE TABLESPACE
privilege on
all tables in the instance (CREATE TABLESPACE on
*.*)
.
Redo log data encryption is enabled using the
innodb_redo_log_encrypt
configuration option. Redo log encryption is disabled by
default.
As with tablespace data, redo log data encryption occurs when redo log data is written to disk, and decryption occurs when redo log data is read from disk. Once redo log data is read into memory, it is in unencrypted form. Redo log data is encrypted and decrypted using the tablepace encryption key.
When innodb_redo_log_encrypt
is
enabled, unencrypted redo log pages that are present on disk
remain unencrypted, and new redo log pages are written to disk
in encrypted form. Likewise, when
innodb_redo_log_encrypt
is
disabled, encrypted redo log pages that are present on disk
remain encrypted, and new redo log pages are written to disk in
unencrypted form.
Redo log encryption metadata, including the tablespace
encryption key, is stored in the header of the first redo log
file (ib_logfile0
). If this file is
removed, redo log encryption is disabled.
Once redo log encryption is enabled, a normal restart without
the keyring plugin or without the encryption key is not
possible, as InnoDB
must be able to scan redo
pages during startup, which is not possible if redo log pages
are encrypted. Without the keyring plugin or the encryption key,
only a forced startup without the redo logs
(SRV_FORCE_NO_LOG_REDO
) is possible. See
Section 15.20.2, “Forcing InnoDB Recovery”.
Undo log data encryption is enabled using the
innodb_undo_log_encrypt
configuration option. Undo log encryption applies to undo logs
that reside in undo
tablespaces. See
Section 15.6.3.4, “Undo Tablespaces”. Undo log data
encryption is disabled by default.
As with tablespace data, undo log data encryption occurs when undo log data is written to disk, and decryption occurs when undo log data is read from disk. Once undo log data is read into memory, it is in unencrypted form. Undo log data is encrypted and decrypted using the tablepace encryption key.
When innodb_undo_log_encrypt
is
enabled, unencrypted undo log pages that are present on disk
remain unencrypted, and new undo log pages are written to disk
in encrypted form. Likewise, when
innodb_undo_log_encrypt
is
disabled, encrypted undo log pages that are present on disk
remain encrypted, and new undo log pages are written to disk in
unencrypted form.
Undo log encryption metadata, including the tablespace
encryption key, is stored in the header of the undo log file
(undo
,
where N
.ibdN
is the space ID).
The master encryption key should be rotated periodically and whenever you suspect that the key has been compromised.
Master key rotation is an atomic, instance-level operation. Each
time the master encryption key is rotated, all tablespace keys
in the MySQL instance are re-encrypted and saved back to their
respective tablespace headers. As an atomic operation,
re-encryption must succeed for all tablespace keys once a
rotation operation is initiated. If master key rotation is
interrupted by a server failure, InnoDB
rolls
the operation forward on server restart. For more information,
see InnoDB Tablespace Encryption and Recovery.
Rotating the master encryption key only changes the master encryption key and re-encrypts tablespace keys. It does not decrypt or re-encrypt associated tablespace data.
Rotating the master encryption key requires the
ENCRYPTION_KEY_ADMIN
or
SUPER
privilege.
To rotate the master encryption key, run:
mysql> ALTER INSTANCE ROTATE INNODB MASTER KEY;
ALTER INSTANCE ROTATE INNODB MASTER
KEY
supports concurrent DML. However, it cannot be run
concurrently with tablespace encryption operations, and locks
are taken to prevent conflicts that could arise from concurrent
execution. If an ALTER INSTANCE ROTATE
INNODB MASTER KEY
operation is running, it must finish
before a tablespace encryption operation can proceed, and vice
versa.
If a server failure occurs during an encryption operation, the operation is rolled forward when the server is restarted. For general tablespaces, the encryption operation is resumed in a background thread from the last processed page.
If a server failure occurs during master key rotation,
InnoDB
continues the operation on server
restart.
The keyring plugin must be loaded prior to storage engine
initialization so that the information necessary to decrypt
tablespace data pages can be retrieved from tablespace headers
before InnoDB
initialization and recovery
activities access tablespace data. (See
InnoDB Tablespace Encryption Prerequisites.)
When InnoDB
initialization and recovery
begin, the master key rotation operation resumes. Due to the
server failure, some tablespace keys may already be encrypted
using the new master encryption key. InnoDB
reads the encryption data from each tablespace header, and if
the data indicates that the tablespace key is encrypted using
the old master encryption key, InnoDB
retrieves the old key from the keyring and uses it to decrypt
the tablepace key. InnoDB
then re-encrypts
the tablespace key using the new master encryption key and saves
the re-encrypted tablespace key back to the tablespace header.
Tablespace export is only supported for file-per-table tablespaces.
When an encrypted tablespace is exported,
InnoDB
generates a transfer
key that is used to encrypt the tablespace key. The
encrypted tablespace key and transfer key are stored in a
file. This file together with the encrypted tablespace file is
required to perform an import operation. On import,
tablespace_name
.cfpInnoDB
uses the transfer key to decrypt the
tablespace key in the
file. For related information, see
Section 15.6.3.7, “Copying Tablespaces to Another Instance”.
tablespace_name
.cfp
The ALTER INSTANCE ROTATE INNODB MASTER
KEY
statement is only supported in replication
environments where the master and slaves run a version of
MySQL that supports tablespace encryption.
Successful ALTER INSTANCE ROTATE INNODB
MASTER KEY
statements are written to the binary
log for replication on slaves.
If an ALTER INSTANCE ROTATE INNODB
MASTER KEY
statement fails, it is not logged to
the binary log and is not replicated on slaves.
Replication of an ALTER INSTANCE ROTATE
INNODB MASTER KEY
operation fails if the keyring
plugin is installed on the master but not on the slave.
If the keyring_file
or
keyring_encrypted_file
plugin is
installed on both the master and a slave but the slave does
not have a keyring data file, the replicated
ALTER INSTANCE ROTATE INNODB MASTER
KEY
statement creates the keyring data file on the
slave, assuming the keyring file data is not cached in
memory. ALTER INSTANCE ROTATE INNODB
MASTER KEY
uses keyring file data that is cached
in memory, if available.
The
INFORMATION_SCHEMA.INNODB_TABLESPACES
table, introduced in MySQL 8.0.13, includes an
ENCRYPTION
column that can be used to
identify encrypted tablespaces.
mysql>SELECT SPACE, NAME, SPACE_TYPE, ENCRYPTION FROM INFORMATION_SCHEMA.INNODB_TABLESPACES
WHERE ENCRYPTION='Y'\G
*************************** 1. row *************************** SPACE: 4294967294 NAME: mysql SPACE_TYPE: General ENCRYPTION: Y *************************** 2. row *************************** SPACE: 2 NAME: test/t1 SPACE_TYPE: Single ENCRYPTION: Y *************************** 3. row *************************** SPACE: 3 NAME: ts1 SPACE_TYPE: General ENCRYPTION: Y
When the ENCRYPTION
option is specified in a
CREATE TABLE
or
ALTER TABLE
statement, it is
recorded in the CREATE_OPTIONS
column of
INFORMATION_SCHEMA.TABLES
. This
column can be queried to identify tables that reside in
encrypted file-per-table tablespaces.
mysql>SELECT TABLE_SCHEMA, TABLE_NAME, CREATE_OPTIONS FROM INFORMATION_SCHEMA.TABLES
WHERE CREATE_OPTIONS LIKE '%ENCRYPTION%';
+--------------+------------+----------------+ | TABLE_SCHEMA | TABLE_NAME | CREATE_OPTIONS | +--------------+------------+----------------+ | test | t1 | ENCRYPTION="Y" | +--------------+------------+----------------+
Query
INFORMATION_SCHEMA.INNODB_TABLESPACES
to retrieve information about the tablespace associated with a
particular schema and table.
mysql> SELECT SPACE, NAME, SPACE_TYPE FROM INFORMATION_SCHEMA.INNODB_TABLESPACES WHERE NAME='test/t1';
+-------+---------+------------+
| SPACE | NAME | SPACE_TYPE |
+-------+---------+------------+
| 3 | test/t1 | Single |
+-------+---------+------------+
You can monitor general tablespace and mysql
system tablespace encryption progress using
Performance Schema.
The stage/innodb/alter tablespace
(encryption)
stage event instrument reports
WORK_ESTIMATED
and
WORK_COMPLETED
information for general
tablespace encryption operations.
The following example demonstrates how to enable the
stage/innodb/alter tablespace (encryption)
stage event instrument and related consumer tables to monitor
general tablespace or mysql
system tablespace
encryption progress. For information about Performance Schema
stage event instruments and related consumers, see
Section 26.12.5, “Performance Schema Stage Event Tables”.
Enable the stage/innodb/alter tablespace
(encryption)
instrument:
mysql>USE performance_schema;
mysql>UPDATE setup_instruments SET ENABLED = 'YES'
WHERE NAME LIKE 'stage/innodb/alter tablespace (encryption)';
Enable the stage event consumer tables, which include
events_stages_current
,
events_stages_history
, and
events_stages_history_long
.
mysql> UPDATE setup_consumers SET ENABLED = 'YES' WHERE NAME LIKE '%stages%';
Run a tablespace encryption operation. In this example, a
general tablespace named ts1
is
encrypted.
mysql> ALTER TABLESPACE ts1 ENCRYPTION = 'Y';
Check the progress of the encryption operation by querying
the Performance Schema
events_stages_current
table.
WORK_ESTIMATED
reports the total number
of pages in the tablespace.
WORK_COMPLETED
reports the number of
pages processed.
mysql> SELECT EVENT_NAME, WORK_ESTIMATED, WORK_COMPLETED FROM events_stages_current;
+--------------------------------------------+----------------+----------------+
| EVENT_NAME | WORK_COMPLETED | WORK_ESTIMATED |
+--------------------------------------------+----------------+----------------+
| stage/innodb/alter tablespace (encryption) | 1056 | 1407 |
+--------------------------------------------+----------------+----------------+
The events_stages_current
table
returns an empty set if the encryption operation has
completed. In this case, you can check the
events_stages_history
table to
view event data for the completed operation. For example:
mysql> SELECT EVENT_NAME, WORK_COMPLETED, WORK_ESTIMATED FROM events_stages_history;
+--------------------------------------------+----------------+----------------+
| EVENT_NAME | WORK_COMPLETED | WORK_ESTIMATED |
+--------------------------------------------+----------------+----------------+
| stage/innodb/alter tablespace (encryption) | 1407 | 1407 |
+--------------------------------------------+----------------+----------------+
Plan appropriately when altering an existing file-per-table
tablespace with the ENCRYPTION
option.
Tables residing in file-per-table tablespaces are rebuilt
using the COPY
algorithm. The
INPLACE
algorithm is used when altering
the ENCRYPTION
attribute of a general
tablespace or the mysql
system
tablespace. The INPLACE
algorithm permits
concurrent DML on tables that reside in the general
tablespace. Concurrent DDL is blocked.
When a general tablespace or the mysql
system tablespace is encrypted, all tables residing in the
tablespace are encrypted. Likewise, a table created in an
encrypted tablespace is encrypted.
If the server exits or is stopped during normal operation, it is recommended to restart the server using the same encryption settings that were configured previously.
The first master encryption key is generated when the first new or existing tablespace is encrypted.
Master key rotation re-encrypts tablespaces keys but does
not change the tablespace key itself. To change a tablespace
key, you must disable and re-enable encryption. For
file-per-table tablespaces, re-encrypting the tablespace is
an ALGORITHM=COPY
operation that rebuilds
the table. For general tablespaces and the
mysql
system tablespace, it is an
ALGORITHM=INPLACE
operation, which does
not require rebuilding tables that reside in the tablespace.
If a table is created with both the
COMPRESSION
and
ENCRYPTION
options, compression is performed before tablespace data is
encrypted.
If a keyring data file (the file named by
keyring_file_data
or
keyring_encrypted_file_data
)
is empty or missing, the first execution of
ALTER INSTANCE ROTATE INNODB MASTER
KEY
creates a master encryption key.
Uninstalling the keyring_file
or
keyring_encrypted_file
plugin does not
remove an existing keyring data file.
It is recommended that you not place a keyring data file under the same directory as tablespace data files.
Modifying the
keyring_file_data
or
keyring_encrypted_file_data
setting at runtime or when restarting the server can cause
previously encrypted tablespaces to become inaccessible,
resulting in lost data.
Advanced Encryption Standard (AES) is the only supported
encryption algorithm. InnoDB
tablespace
encryption uses Electronic Codebook (ECB) block encryption
mode for tablespace key encryption and Cipher Block Chaining
(CBC) block encryption mode for data encryption.
Encryption is only supported for
file-per-table
tablespaces,
general
tablespaces, and the mysql
system
tablespace. Encryption support for general tablespaces was
introduced in MySQL 8.0.13. Encryption support for the
mysql
system tablespace is available as
of MySQL 8.0.16. Encryption is not supported for other
tablespace types including the InnoDB
system
tablespace.
You cannot move or copy a table from an encrypted
file-per-table
tablespace,
general
tablespace, or the mysql
system
tablespace to a tablespace type that does not support
encryption.
You cannot move or copy a table from an encrypted tablespace to an unencrypted tablespace. However, moving a table from an unencrypted tablespace to an encrypted one is permitted. For example, you can move or copy a table from a unencrypted file-per-table or general tablespace to an encrypted general tablespace.
By default, tablespace encryption only applies to data in
the tablespace. Redo log and undo log data can be encrypted
by enabling
innodb_redo_log_encrypt
and
innodb_undo_log_encrypt
.
See Redo Log Data Encryption,
and Undo Log Data Encryption.
Binary log data is not encrypted.
It is not permitted to change the storage engine of a table that resides or previously resided in an encrypted tablespace.
The doublewrite buffer is a storage area located in the system
tablespace where InnoDB
writes pages that are
flushed from the InnoDB
buffer pool, before the
pages are written to their proper positions in the data file. Only
after flushing and writing pages to the doublewrite buffer, does
InnoDB
write pages to their proper positions.
If there is an operating system, storage subsystem, or
mysqld process crash in the middle of a page
write, InnoDB
can later find a good copy of the
page from the doublewrite buffer during crash recovery.
Although data is always written twice, the doublewrite buffer does
not require twice as much I/O overhead or twice as many I/O
operations. Data is written to the doublewrite buffer itself as a
large sequential chunk, with a single fsync()
call to the operating system.
The doublewrite buffer is enabled by default in most cases. To
disable the doublewrite buffer, set
innodb_doublewrite
to 0.
If system tablespace files (“ibdata files”) are
located on Fusion-io devices that support atomic writes,
doublewrite buffering is automatically disabled and Fusion-io
atomic writes are used for all data files. Because the doublewrite
buffer setting is global, doublewrite buffering is also disabled
for data files residing on non-Fusion-io hardware. This feature is
only supported on Fusion-io hardware and is only enabled for
Fusion-io NVMFS on Linux. To take full advantage of this feature,
an innodb_flush_method
setting of
O_DIRECT
is recommended.
The redo log is a disk-based data structure used during crash recovery to correct data written by incomplete transactions. During normal operations, the redo log encodes requests to change table data that result from SQL statements or low-level API calls. Modifications that did not finish updating the data files before an unexpected shutdown are replayed automatically during initialization, and before the connections are accepted. For information about the role of the redo log in crash recovery, see Section 15.17.2, “InnoDB Recovery”.
By default, the redo log is physically represented on disk by two
files named ib_logfile0
and
ib_logfile1
. MySQL writes to the redo log
files in a circular fashion. Data in the redo log is encoded in
terms of records affected; this data is collectively referred to
as redo. The passage of data through the redo log is represented
by an ever-increasing LSN value.
For related information, see Redo Log File Configuration, and Section 8.5.4, “Optimizing InnoDB Redo Logging”.
To change the number or the size of redo log files, perform the following steps:
Stop the MySQL server and make sure that it shuts down without errors.
Edit my.cnf
to change the log file
configuration. To change the log file size, configure
innodb_log_file_size
. To
increase the number of log files, configure
innodb_log_files_in_group
.
Start the MySQL server again.
If InnoDB
detects that the
innodb_log_file_size
differs
from the redo log file size, it writes a log checkpoint, closes
and removes the old log files, creates new log files at the
requested size, and opens the new log files.
InnoDB
, like any other
ACID-compliant database engine,
flushes the redo log of a
transaction before it is committed. InnoDB
uses group commit
functionality to group multiple such flush requests together to
avoid one flush for each commit. With group commit,
InnoDB
issues a single write to the log file
to perform the commit action for multiple user transactions that
commit at about the same time, significantly improving
throughput.
For more information about performance of
COMMIT
and other transactional operations,
see Section 8.5.2, “Optimizing InnoDB Transaction Management”.
An undo log is a collection of undo log records associated with a single read-write transaction. An undo log record contains information about how to undo the latest change by a transaction to a clustered index record. If another transaction needs to see the original data as part of a consistent read operation, the unmodified data is retrieved from undo log records. Undo logs exist within undo log segments, which are contained within rollback segments. Rollback segments reside in undo tablespaces and in the global temporary tablespace.
Undo logs that reside in the global temporary tablespace are used for transactions that modify data in user-defined temporary tables. These undo logs are not redo-logged, as they are not required for crash recovery. They are used only for rollback while the server is running. This type of undo log benefits performance by avoiding redo logging I/O.
Each undo tablespace and the global temporary tablepace
individually support a maximum of 128 rollback segments. The
innodb_rollback_segments
variable
defines the number of rollback segments.
The number of transactions that a rollback segment supports depends on the number of undo slots in the rollback segment and the number of undo logs required by each transaction.
The number of undo slots in a rollback segment differs according
to InnoDB
page size.
InnoDB Page Size | Number of Undo Slots in a Rollback Segment (InnoDB Page Size / 16) |
---|---|
4096 (4KB) |
256 |
8192 (8KB) |
512 |
16384 (16KB) |
1024 |
32768 (32KB) |
2048 |
65536 (64KB) |
4096 |
A transaction is assigned up to four undo logs, one for each of the following operation types:
Undo logs are assigned as needed. For example, a transaction that
performs INSERT
,
UPDATE
, and
DELETE
operations on regular and
temporary tables requires a full assignment of four undo logs. A
transaction that performs only
INSERT
operations on regular tables
requires a single undo log.
A transaction that performs operations on regular tables is assigned undo logs from an assigned undo tablespace rollback segment. A transaction that performs operations on temporary tables is assigned undo logs from an assigned global temporary tablespace rollback segment.
An undo log assigned to a transaction remains tied to the
transaction for its duration. For example, an undo log assigned to
a transaction for an INSERT
operation on a regular table is used for all
INSERT
operations on regular tables
performed by that transaction.
Given the factors described above, the following formulas can be
used to estimate the number of concurrent read-write transactions
that InnoDB
is capable of supporting.
A transaction can encounter a concurrent transaction limit error
before reaching the number of concurrent read-write transactions
that InnoDB
is capable of supporting. This
occurs when a rollback segment assigned to a transaction runs
out of undo slots. In such cases, try rerunning the transaction.
When transactions perform operations on temporary tables, the
number of concurrent read-write transactions that
InnoDB
is capable of supporting is
constrained by the number of rollback segments allocated to the
global temporary tablespace, which is 128 by default.
If each transaction performs either an
INSERT
or an
UPDATE
or
DELETE
operation, the number of
concurrent read-write transactions that
InnoDB
is capable of supporting is:
(innodb_page_size / 16) * innodb_rollback_segments * number of undo tablespaces
If each transaction performs an
INSERT
and an
UPDATE
or
DELETE
operation, the number of
concurrent read-write transactions that
InnoDB
is capable of supporting is:
(innodb_page_size / 16 / 2) * innodb_rollback_segments * number of undo tablespaces
If each transaction performs an
INSERT
operation on a temporary
table, the number of concurrent read-write transactions that
InnoDB
is capable of supporting is:
(innodb_page_size / 16) * innodb_rollback_segments
If each transaction performs an
INSERT
and an
UPDATE
or
DELETE
operation on a temporary
table, the number of concurrent read-write transactions that
InnoDB
is capable of supporting is:
(innodb_page_size / 16 / 2) * innodb_rollback_segments
To implement a large-scale, busy, or highly reliable database
application, to port substantial code from a different database
system, or to tune MySQL performance, it is important to understand
InnoDB
locking and the InnoDB
transaction model.
This section discusses several topics related to
InnoDB
locking and the InnoDB
transaction model with which you should be familiar.
Section 15.7.1, “InnoDB Locking” describes lock types used by
InnoDB
.
Section 15.7.2, “InnoDB Transaction Model” describes transaction
isolation levels and the locking strategies used by each. It
also discusses the use of
autocommit
, consistent
non-locking reads, and locking reads.
Section 15.7.3, “Locks Set by Different SQL Statements in InnoDB” discusses specific types of
locks set in InnoDB
for various statements.
Section 15.7.4, “Phantom Rows” describes how
InnoDB
uses next-key locking to avoid phantom
rows.
Section 15.7.5, “Deadlocks in InnoDB” provides a deadlock example,
discusses deadlock detection and rollback, and provides tips for
minimizing and handling deadlocks in InnoDB
.
This section describes lock types used by
InnoDB
.
InnoDB
implements standard row-level locking
where there are two types of locks,
shared (S
)
locks and exclusive
(X
) locks.
A shared
(S
) lock permits the transaction
that holds the lock to read a row.
An exclusive
(X
) lock permits the transaction
that holds the lock to update or delete a row.
If transaction T1
holds a shared
(S
) lock on row r
, then
requests from some distinct transaction T2
for a lock on row r
are handled as follows:
A request by T2
for an
S
lock can be granted immediately. As a
result, both T1
and T2
hold an S
lock on r
.
A request by T2
for an
X
lock cannot be granted immediately.
If a transaction T1
holds an exclusive
(X
) lock on row r
, a
request from some distinct transaction T2
for
a lock of either type on r
cannot be granted
immediately. Instead, transaction T2
has to
wait for transaction T1
to release its lock
on row r
.
InnoDB
supports multiple
granularity locking which permits coexistence of row
locks and table locks. For example, a statement such as
LOCK TABLES ...
WRITE
takes an exclusive lock (an X
lock) on the specified table. To make locking at multiple
granularity levels practical, InnoDB
uses
intention locks.
Intention locks are table-level locks that indicate which type
of lock (shared or exclusive) a transaction requires later for a
row in a table. There are two types of intention locks:
An intention
shared lock (IS
) indicates that a
transaction intends to set a shared
lock on individual rows in a table.
An intention
exclusive lock (IX
) indicates that
that a transaction intends to set an exclusive lock on
individual rows in a table.
For example, SELECT ...
FOR SHARE
sets an IS
lock, and
SELECT ... FOR
UPDATE
sets an IX
lock.
The intention locking protocol is as follows:
Before a transaction can acquire a shared lock on a row in a
table, it must first acquire an IS
lock
or stronger on the table.
Before a transaction can acquire an exclusive lock on a row
in a table, it must first acquire an IX
lock on the table.
Table-level lock type compatibility is summarized in the following matrix.
X |
IX |
S |
IS |
|
---|---|---|---|---|
X |
Conflict | Conflict | Conflict | Conflict |
IX |
Conflict | Compatible | Conflict | Compatible |
S |
Conflict | Conflict | Compatible | Compatible |
IS |
Conflict | Compatible | Compatible | Compatible |
A lock is granted to a requesting transaction if it is compatible with existing locks, but not if it conflicts with existing locks. A transaction waits until the conflicting existing lock is released. If a lock request conflicts with an existing lock and cannot be granted because it would cause deadlock, an error occurs.
Intention locks do not block anything except full table requests
(for example, LOCK
TABLES ... WRITE
). The main purpose of intention locks
is to show that someone is locking a row, or going to lock a row
in the table.
Transaction data for an intention lock appears similar to the
following in SHOW
ENGINE INNODB STATUS
and
InnoDB monitor
output:
TABLE LOCK table `test`.`t` trx id 10080 lock mode IX
A record lock is a lock on an index record. For example,
SELECT c1 FROM t WHERE c1 = 10 FOR UPDATE;
prevents any other transaction from inserting, updating, or
deleting rows where the value of t.c1
is
10
.
Record locks always lock index records, even if a table is
defined with no indexes. For such cases,
InnoDB
creates a hidden clustered index and
uses this index for record locking. See
Section 15.6.2.1, “Clustered and Secondary Indexes”.
Transaction data for a record lock appears similar to the
following in SHOW
ENGINE INNODB STATUS
and
InnoDB monitor
output:
RECORD LOCKS space id 58 page no 3 n bits 72 index `PRIMARY` of table `test`.`t` trx id 10078 lock_mode X locks rec but not gap Record lock, heap no 2 PHYSICAL RECORD: n_fields 3; compact format; info bits 0 0: len 4; hex 8000000a; asc ;; 1: len 6; hex 00000000274f; asc 'O;; 2: len 7; hex b60000019d0110; asc ;;
A gap lock is a lock on a gap between index records, or a lock
on the gap before the first or after the last index record. For
example, SELECT c1 FROM t WHERE c1 BETWEEN 10 and 20
FOR UPDATE;
prevents other transactions from inserting
a value of 15
into column
t.c1
, whether or not there was already any
such value in the column, because the gaps between all existing
values in the range are locked.
A gap might span a single index value, multiple index values, or even be empty.
Gap locks are part of the tradeoff between performance and concurrency, and are used in some transaction isolation levels and not others.
Gap locking is not needed for statements that lock rows using a
unique index to search for a unique row. (This does not include
the case that the search condition includes only some columns of
a multiple-column unique index; in that case, gap locking does
occur.) For example, if the id
column has a
unique index, the following statement uses only an index-record
lock for the row having id
value 100 and it
does not matter whether other sessions insert rows in the
preceding gap:
SELECT * FROM child WHERE id = 100;
If id
is not indexed or has a nonunique
index, the statement does lock the preceding gap.
It is also worth noting here that conflicting locks can be held on a gap by different transactions. For example, transaction A can hold a shared gap lock (gap S-lock) on a gap while transaction B holds an exclusive gap lock (gap X-lock) on the same gap. The reason conflicting gap locks are allowed is that if a record is purged from an index, the gap locks held on the record by different transactions must be merged.
Gap locks in InnoDB
are “purely
inhibitive”, which means that their only purpose is to
prevent other transactions from inserting to the gap. Gap locks
can co-exist. A gap lock taken by one transaction does not
prevent another transaction from taking a gap lock on the same
gap. There is no difference between shared and exclusive gap
locks. They do not conflict with each other, and they perform
the same function.
Gap locking can be disabled explicitly. This occurs if you
change the transaction isolation level to
READ COMMITTED
. Under these
circumstances, gap locking is disabled for searches and index
scans and is used only for foreign-key constraint checking and
duplicate-key checking.
There are also other effects of using the
READ COMMITTED
isolation
level. Record locks for nonmatching rows are released after
MySQL has evaluated the WHERE
condition. For
UPDATE
statements, InnoDB
does a “semi-consistent” read, such that it returns
the latest committed version to MySQL so that MySQL can
determine whether the row matches the WHERE
condition of the UPDATE
.
A next-key lock is a combination of a record lock on the index record and a gap lock on the gap before the index record.
InnoDB
performs row-level locking in such a
way that when it searches or scans a table index, it sets shared
or exclusive locks on the index records it encounters. Thus, the
row-level locks are actually index-record locks. A next-key lock
on an index record also affects the “gap” before
that index record. That is, a next-key lock is an index-record
lock plus a gap lock on the gap preceding the index record. If
one session has a shared or exclusive lock on record
R
in an index, another session cannot insert
a new index record in the gap immediately before
R
in the index order.
Suppose that an index contains the values 10, 11, 13, and 20. The possible next-key locks for this index cover the following intervals, where a round bracket denotes exclusion of the interval endpoint and a square bracket denotes inclusion of the endpoint:
(negative infinity, 10] (10, 11] (11, 13] (13, 20] (20, positive infinity)
For the last interval, the next-key lock locks the gap above the largest value in the index and the “supremum” pseudo-record having a value higher than any value actually in the index. The supremum is not a real index record, so, in effect, this next-key lock locks only the gap following the largest index value.
By default, InnoDB
operates in
REPEATABLE READ
transaction
isolation level. In this case, InnoDB
uses
next-key locks for searches and index scans, which prevents
phantom rows (see Section 15.7.4, “Phantom Rows”).
Transaction data for a next-key lock appears similar to the
following in SHOW
ENGINE INNODB STATUS
and
InnoDB monitor
output:
RECORD LOCKS space id 58 page no 3 n bits 72 index `PRIMARY` of table `test`.`t` trx id 10080 lock_mode X Record lock, heap no 1 PHYSICAL RECORD: n_fields 1; compact format; info bits 0 0: len 8; hex 73757072656d756d; asc supremum;; Record lock, heap no 2 PHYSICAL RECORD: n_fields 3; compact format; info bits 0 0: len 4; hex 8000000a; asc ;; 1: len 6; hex 00000000274f; asc 'O;; 2: len 7; hex b60000019d0110; asc ;;
An insert intention lock is a type of gap lock set by
INSERT
operations prior to row
insertion. This lock signals the intent to insert in such a way
that multiple transactions inserting into the same index gap
need not wait for each other if they are not inserting at the
same position within the gap. Suppose that there are index
records with values of 4 and 7. Separate transactions that
attempt to insert values of 5 and 6, respectively, each lock the
gap between 4 and 7 with insert intention locks prior to
obtaining the exclusive lock on the inserted row, but do not
block each other because the rows are nonconflicting.
The following example demonstrates a transaction taking an insert intention lock prior to obtaining an exclusive lock on the inserted record. The example involves two clients, A and B.
Client A creates a table containing two index records (90 and 102) and then starts a transaction that places an exclusive lock on index records with an ID greater than 100. The exclusive lock includes a gap lock before record 102:
mysql>CREATE TABLE child (id int(11) NOT NULL, PRIMARY KEY(id)) ENGINE=InnoDB;
mysql>INSERT INTO child (id) values (90),(102);
mysql>START TRANSACTION;
mysql>SELECT * FROM child WHERE id > 100 FOR UPDATE;
+-----+ | id | +-----+ | 102 | +-----+
Client B begins a transaction to insert a record into the gap. The transaction takes an insert intention lock while it waits to obtain an exclusive lock.
mysql>START TRANSACTION;
mysql>INSERT INTO child (id) VALUES (101);
Transaction data for an insert intention lock appears similar to
the following in
SHOW ENGINE INNODB
STATUS
and
InnoDB monitor
output:
RECORD LOCKS space id 31 page no 3 n bits 72 index `PRIMARY` of table `test`.`child`
trx id 8731 lock_mode X locks gap before rec insert intention waiting
Record lock, heap no 3 PHYSICAL RECORD: n_fields 3; compact format; info bits 0
0: len 4; hex 80000066; asc f;;
1: len 6; hex 000000002215; asc " ;;
2: len 7; hex 9000000172011c; asc r ;;...
An AUTO-INC
lock is a special table-level
lock taken by transactions inserting into tables with
AUTO_INCREMENT
columns. In the simplest case,
if one transaction is inserting values into the table, any other
transactions must wait to do their own inserts into that table,
so that rows inserted by the first transaction receive
consecutive primary key values.
The innodb_autoinc_lock_mode
configuration option controls the algorithm used for
auto-increment locking. It allows you to choose how to trade off
between predictable sequences of auto-increment values and
maximum concurrency for insert operations.
For more information, see Section 15.6.1.4, “AUTO_INCREMENT Handling in InnoDB”.
InnoDB
supports SPATIAL
indexing of columns containing spatial columns (see
Section 11.5.9, “Optimizing Spatial Analysis”).
To handle locking for operations involving
SPATIAL
indexes, next-key locking does not
work well to support REPEATABLE
READ
or
SERIALIZABLE
transaction
isolation levels. There is no absolute ordering concept in
multidimensional data, so it is not clear which is the
“next” key.
To enable support of isolation levels for tables with
SPATIAL
indexes, InnoDB
uses predicate locks. A SPATIAL
index
contains minimum bounding rectangle (MBR) values, so
InnoDB
enforces consistent read on the index
by setting a predicate lock on the MBR value used for a query.
Other transactions cannot insert or modify a row that would
match the query condition.
In the InnoDB
transaction model, the goal is to
combine the best properties of a
multi-versioning database with
traditional two-phase locking. InnoDB
performs
locking at the row level and runs queries as nonlocking
consistent reads by
default, in the style of Oracle. The lock information in
InnoDB
is stored space-efficiently so that lock
escalation is not needed. Typically, several users are permitted
to lock every row in InnoDB
tables, or any
random subset of the rows, without causing
InnoDB
memory exhaustion.
Transaction isolation is one of the foundations of database processing. Isolation is the I in the acronym ACID; the isolation level is the setting that fine-tunes the balance between performance and reliability, consistency, and reproducibility of results when multiple transactions are making changes and performing queries at the same time.
InnoDB
offers all four transaction isolation
levels described by the SQL:1992 standard:
READ UNCOMMITTED
,
READ COMMITTED
,
REPEATABLE READ
, and
SERIALIZABLE
. The default
isolation level for InnoDB
is
REPEATABLE READ
.
A user can change the isolation level for a single session or
for all subsequent connections with the SET
TRANSACTION
statement. To set the server's default
isolation level for all connections, use the
--transaction-isolation
option on
the command line or in an option file. For detailed information
about isolation levels and level-setting syntax, see
Section 13.3.7, “SET TRANSACTION Syntax”.
InnoDB
supports each of the transaction
isolation levels described here using different
locking strategies. You can
enforce a high degree of consistency with the default
REPEATABLE READ
level, for
operations on crucial data where
ACID compliance is important.
Or you can relax the consistency rules with
READ COMMITTED
or even
READ UNCOMMITTED
, in
situations such as bulk reporting where precise consistency and
repeatable results are less important than minimizing the amount
of overhead for locking.
SERIALIZABLE
enforces even
stricter rules than REPEATABLE
READ
, and is used mainly in specialized situations,
such as with XA transactions and
for troubleshooting issues with concurrency and
deadlocks.
The following list describes how MySQL supports the different transaction levels. The list goes from the most commonly used level to the least used.
This is the default isolation level for
InnoDB
.
Consistent reads
within the same transaction read the
snapshot established by
the first read. This means that if you issue several plain
(nonlocking) SELECT
statements within the same transaction, these
SELECT
statements are
consistent also with respect to each other. See
Section 15.7.2.3, “Consistent Nonlocking Reads”.
For locking reads
(SELECT
with FOR
UPDATE
or FOR SHARE
),
UPDATE
, and
DELETE
statements, locking
depends on whether the statement uses a unique index with a
unique search condition, or a range-type search condition.
For a unique index with a unique search condition,
InnoDB
locks only the index record
found, not the gap
before it.
For other search conditions, InnoDB
locks the index range scanned, using
gap locks or
next-key locks
to block insertions by other sessions into the gaps
covered by the range. For information about gap locks
and next-key locks, see
Section 15.7.1, “InnoDB Locking”.
Each consistent read, even within the same transaction, sets and reads its own fresh snapshot. For information about consistent reads, see Section 15.7.2.3, “Consistent Nonlocking Reads”.
For locking reads (SELECT
with FOR UPDATE
or FOR
SHARE
), UPDATE
statements, and DELETE
statements, InnoDB
locks only index
records, not the gaps before them, and thus permits the free
insertion of new records next to locked records. Gap locking
is only used for foreign-key constraint checking and
duplicate-key checking.
Because gap locking is disabled, phantom problems may occur, as other sessions can insert new rows into the gaps. For information about phantoms, see Section 15.7.4, “Phantom Rows”.
Only row-based binary logging is supported with the
READ COMMITTED
isolation level. If you
use READ COMMITTED
with
binlog_format=MIXED
, the
server automatically uses row-based logging.
Using READ COMMITTED
has additional
effects:
For UPDATE
or
DELETE
statements,
InnoDB
holds locks only for rows that
it updates or deletes. Record locks for nonmatching rows
are released after MySQL has evaluated the
WHERE
condition. This greatly reduces
the probability of deadlocks, but they can still happen.
For UPDATE
statements, if
a row is already locked, InnoDB
performs a “semi-consistent” read,
returning the latest committed version to MySQL so that
MySQL can determine whether the row matches the
WHERE
condition of the
UPDATE
. If the row
matches (must be updated), MySQL reads the row again and
this time InnoDB
either locks it or
waits for a lock on it.
Consider the following example, beginning with this table:
CREATE TABLE t (a INT NOT NULL, b INT) ENGINE = InnoDB; INSERT INTO t VALUES (1,2),(2,3),(3,2),(4,3),(5,2); COMMIT;
In this case, the table has no indexes, so searches and index scans use the hidden clustered index for record locking (see Section 15.6.2.1, “Clustered and Secondary Indexes”) rather than indexed columns.
Suppose that one session performs an
UPDATE
using these
statements:
# Session A START TRANSACTION; UPDATE t SET b = 5 WHERE b = 3;
Suppose also that a second session performs an
UPDATE
by executing these
statements following those of the first session:
# Session B UPDATE t SET b = 4 WHERE b = 2;
As InnoDB
executes each
UPDATE
, it first acquires an
exclusive lock for each row, and then determines whether to
modify it. If InnoDB
does not
modify the row, it releases the lock. Otherwise,
InnoDB
retains the lock until
the end of the transaction. This affects transaction
processing as follows.
When using the default REPEATABLE READ
isolation level, the first
UPDATE
acquires an x-lock on
each row that it reads and does not release any of them:
x-lock(1,2); retain x-lock x-lock(2,3); update(2,3) to (2,5); retain x-lock x-lock(3,2); retain x-lock x-lock(4,3); update(4,3) to (4,5); retain x-lock x-lock(5,2); retain x-lock
The second UPDATE
blocks as
soon as it tries to acquire any locks (because first update
has retained locks on all rows), and does not proceed until
the first UPDATE
commits or
rolls back:
x-lock(1,2); block and wait for first UPDATE to commit or roll back
If READ COMMITTED
is used instead, the
first UPDATE
acquires an
x-lock on each row that it reads and releases those for rows
that it does not modify:
x-lock(1,2); unlock(1,2) x-lock(2,3); update(2,3) to (2,5); retain x-lock x-lock(3,2); unlock(3,2) x-lock(4,3); update(4,3) to (4,5); retain x-lock x-lock(5,2); unlock(5,2)
For the second UPDATE
,
InnoDB
does a
“semi-consistent” read, returning the latest
committed version of each row that it reads to MySQL so that
MySQL can determine whether the row matches the
WHERE
condition of the
UPDATE
:
x-lock(1,2); update(1,2) to (1,4); retain x-lock x-lock(2,3); unlock(2,3) x-lock(3,2); update(3,2) to (3,4); retain x-lock x-lock(4,3); unlock(4,3) x-lock(5,2); update(5,2) to (5,4); retain x-lock
However, if the WHERE
condition includes
an indexed column, and InnoDB
uses the
index, only the indexed column is considered when taking and
retaining record locks. In the following example, the first
UPDATE
takes and retains an
x-lock on each row where b = 2. The second
UPDATE
blocks when it tries
to acquire x-locks on the same records, as it also uses the
index defined on column b.
CREATE TABLE t (a INT NOT NULL, b INT, c INT, INDEX (b)) ENGINE = InnoDB; INSERT INTO t VALUES (1,2,3),(2,2,4); COMMIT; # Session A START TRANSACTION; UPDATE t SET b = 3 WHERE b = 2 AND c = 3; # Session B UPDATE t SET b = 4 WHERE b = 2 AND c = 4;
The effects of using the READ COMMITTED
isolation level are the same as enabling the deprecated
innodb_locks_unsafe_for_binlog
configuration option, with these exceptions:
Enabling
innodb_locks_unsafe_for_binlog
is a global setting and affects all sessions, whereas
the isolation level can be set globally for all
sessions, or individually per session.
innodb_locks_unsafe_for_binlog
can be set only at server startup, whereas the isolation
level can be set at startup or changed at runtime.
READ COMMITTED
therefore offers finer and
more flexible control than
innodb_locks_unsafe_for_binlog
.
SELECT
statements are
performed in a nonlocking fashion, but a possible earlier
version of a row might be used. Thus, using this isolation
level, such reads are not consistent. This is also called a
dirty read.
Otherwise, this isolation level works like
READ COMMITTED
.
This level is like REPEATABLE
READ
, but InnoDB
implicitly
converts all plain SELECT
statements to SELECT
... FOR SHARE
if
autocommit
is disabled. If
autocommit
is enabled, the
SELECT
is its own
transaction. It therefore is known to be read only and can
be serialized if performed as a consistent (nonlocking) read
and need not block for other transactions. (To force a plain
SELECT
to block if other
transactions have modified the selected rows, disable
autocommit
.)
In InnoDB
, all user activity occurs inside a
transaction. If autocommit
mode
is enabled, each SQL statement forms a single transaction on its
own. By default, MySQL starts the session for each new
connection with autocommit
enabled, so MySQL does a commit after each SQL statement if that
statement did not return an error. If a statement returns an
error, the commit or rollback behavior depends on the error. See
Section 15.20.4, “InnoDB Error Handling”.
A session that has autocommit
enabled can perform a multiple-statement transaction by starting
it with an explicit
START
TRANSACTION
or
BEGIN
statement and ending it with a
COMMIT
or
ROLLBACK
statement. See Section 13.3.1, “START TRANSACTION, COMMIT, and ROLLBACK Syntax”.
If autocommit
mode is disabled
within a session with SET autocommit = 0
, the
session always has a transaction open. A
COMMIT
or
ROLLBACK
statement ends the current transaction and a new one starts.
If a session that has
autocommit
disabled ends
without explicitly committing the final transaction, MySQL rolls
back that transaction.
Some statements implicitly end a transaction, as if you had done
a COMMIT
before executing the
statement. For details, see Section 13.3.3, “Statements That Cause an Implicit Commit”.
A COMMIT
means that the changes
made in the current transaction are made permanent and become
visible to other sessions. A
ROLLBACK
statement, on the other hand, cancels all modifications made by
the current transaction. Both
COMMIT
and
ROLLBACK
release all InnoDB
locks that were set during
the current transaction.
By default, connection to the MySQL server begins with autocommit mode enabled, which automatically commits every SQL statement as you execute it. This mode of operation might be unfamiliar if you have experience with other database systems, where it is standard practice to issue a sequence of DML statements and commit them or roll them back all together.
To use multiple-statement
transactions, switch
autocommit off with the SQL statement SET autocommit
= 0
and end each transaction with
COMMIT
or
ROLLBACK
as
appropriate. To leave autocommit on, begin each transaction
with START
TRANSACTION
and end it with
COMMIT
or
ROLLBACK
.
The following example shows two transactions. The first is
committed; the second is rolled back.
shell> mysql test
mysql>CREATE TABLE customer (a INT, b CHAR (20), INDEX (a));
Query OK, 0 rows affected (0.00 sec) mysql>-- Do a transaction with autocommit turned on.
mysql>START TRANSACTION;
Query OK, 0 rows affected (0.00 sec) mysql>INSERT INTO customer VALUES (10, 'Heikki');
Query OK, 1 row affected (0.00 sec) mysql>COMMIT;
Query OK, 0 rows affected (0.00 sec) mysql>-- Do another transaction with autocommit turned off.
mysql>SET autocommit=0;
Query OK, 0 rows affected (0.00 sec) mysql>INSERT INTO customer VALUES (15, 'John');
Query OK, 1 row affected (0.00 sec) mysql>INSERT INTO customer VALUES (20, 'Paul');
Query OK, 1 row affected (0.00 sec) mysql>DELETE FROM customer WHERE b = 'Heikki';
Query OK, 1 row affected (0.00 sec) mysql>-- Now we undo those last 2 inserts and the delete.
mysql>ROLLBACK;
Query OK, 0 rows affected (0.00 sec) mysql>SELECT * FROM customer;
+------+--------+ | a | b | +------+--------+ | 10 | Heikki | +------+--------+ 1 row in set (0.00 sec) mysql>
In APIs such as PHP, Perl DBI, JDBC, ODBC, or the standard C
call interface of MySQL, you can send transaction control
statements such as COMMIT
to
the MySQL server as strings just like any other SQL statements
such as SELECT
or
INSERT
. Some APIs also offer
separate special transaction commit and rollback functions or
methods.
A consistent read
means that InnoDB
uses multi-versioning to
present to a query a snapshot of the database at a point in
time. The query sees the changes made by transactions that
committed before that point of time, and no changes made by
later or uncommitted transactions. The exception to this rule is
that the query sees the changes made by earlier statements
within the same transaction. This exception causes the following
anomaly: If you update some rows in a table, a
SELECT
sees the latest version of
the updated rows, but it might also see older versions of any
rows. If other sessions simultaneously update the same table,
the anomaly means that you might see the table in a state that
never existed in the database.
If the transaction
isolation level is
REPEATABLE READ
(the default
level), all consistent reads within the same transaction read
the snapshot established by the first such read in that
transaction. You can get a fresher snapshot for your queries by
committing the current transaction and after that issuing new
queries.
With READ COMMITTED
isolation
level, each consistent read within a transaction sets and reads
its own fresh snapshot.
Consistent read is the default mode in which
InnoDB
processes
SELECT
statements in
READ COMMITTED
and
REPEATABLE READ
isolation
levels. A consistent read does not set any locks on the tables
it accesses, and therefore other sessions are free to modify
those tables at the same time a consistent read is being
performed on the table.
Suppose that you are running in the default
REPEATABLE READ
isolation
level. When you issue a consistent read (that is, an ordinary
SELECT
statement),
InnoDB
gives your transaction a timepoint
according to which your query sees the database. If another
transaction deletes a row and commits after your timepoint was
assigned, you do not see the row as having been deleted. Inserts
and updates are treated similarly.
The snapshot of the database state applies to
SELECT
statements within a
transaction, not necessarily to
DML statements. If you insert
or modify some rows and then commit that transaction, a
DELETE
or
UPDATE
statement issued from
another concurrent REPEATABLE READ
transaction could affect those just-committed rows, even
though the session could not query them. If a transaction does
update or delete rows committed by a different transaction,
those changes do become visible to the current transaction.
For example, you might encounter a situation like the
following:
SELECT COUNT(c1) FROM t1 WHERE c1 = 'xyz'; -- Returns 0: no rows match. DELETE FROM t1 WHERE c1 = 'xyz'; -- Deletes several rows recently committed by other transaction. SELECT COUNT(c2) FROM t1 WHERE c2 = 'abc'; -- Returns 0: no rows match. UPDATE t1 SET c2 = 'cba' WHERE c2 = 'abc'; -- Affects 10 rows: another txn just committed 10 rows with 'abc' values. SELECT COUNT(c2) FROM t1 WHERE c2 = 'cba'; -- Returns 10: this txn can now see the rows it just updated.
You can advance your timepoint by committing your transaction
and then doing another SELECT
or
START TRANSACTION WITH
CONSISTENT SNAPSHOT
.
This is called multi-versioned concurrency control.
In the following example, session A sees the row inserted by B only when B has committed the insert and A has committed as well, so that the timepoint is advanced past the commit of B.
Session A Session B SET autocommit=0; SET autocommit=0; time | SELECT * FROM t; | empty set | INSERT INTO t VALUES (1, 2); | v SELECT * FROM t; empty set COMMIT; SELECT * FROM t; empty set COMMIT; SELECT * FROM t; --------------------- | 1 | 2 | ---------------------
If you want to see the “freshest” state of the
database, use either the READ
COMMITTED
isolation level or a
locking read:
SELECT * FROM t FOR SHARE;
With READ COMMITTED
isolation
level, each consistent read within a transaction sets and reads
its own fresh snapshot. With FOR SHARE
, a
locking read occurs instead: A SELECT
blocks
until the transaction containing the freshest rows ends (see
Section 15.7.2.4, “Locking Reads”).
Consistent read does not work over certain DDL statements:
Consistent read does not work over DROP
TABLE
, because MySQL cannot use a table that has
been dropped and InnoDB
destroys the
table.
Consistent read does not work over
ALTER TABLE
, because that
statement makes a temporary copy of the original table and
deletes the original table when the temporary copy is built.
When you reissue a consistent read within a transaction,
rows in the new table are not visible because those rows did
not exist when the transaction's snapshot was taken. In this
case, the transaction returns an error:
ER_TABLE_DEF_CHANGED
,
“Table definition has changed, please retry
transaction”.
The type of read varies for selects in clauses like
INSERT INTO ...
SELECT
, UPDATE
... (SELECT)
, and
CREATE TABLE ...
SELECT
that do not specify FOR
UPDATE
or FOR SHARE
:
By default, InnoDB
uses stronger locks
and the SELECT
part acts like
READ COMMITTED
, where
each consistent read, even within the same transaction, sets
and reads its own fresh snapshot.
To use a consistent read in such cases, set the isolation
level of the transaction to READ
UNCOMMITTED
, READ
COMMITTED
, or REPEATABLE
READ
(that is, anything other than
SERIALIZABLE
). In this
case, no locks are set on rows read from the selected table.
If you query data and then insert or update related data within
the same transaction, the regular SELECT
statement does not give enough protection. Other transactions
can update or delete the same rows you just queried.
InnoDB
supports two types of
locking reads that
offer extra safety:
Sets a shared mode lock on any rows that are read. Other sessions can read the rows, but cannot modify them until your transaction commits. If any of these rows were changed by another transaction that has not yet committed, your query waits until that transaction ends and then uses the latest values.
SELECT ... FOR SHARE
is a replacement
for SELECT ... LOCK IN SHARE MODE
, but
LOCK IN SHARE MODE
remains available
for backward compatibility. The statements are equivalent.
However, FOR SHARE
supports OF
,
table_name
NOWAIT
, and SKIP
LOCKED
options. See
Locking Read Concurrency with NOWAIT and SKIP LOCKED.
For index records the search encounters, locks the rows and
any associated index entries, the same as if you issued an
UPDATE
statement for those rows. Other
transactions are blocked from updating those rows, from
doing SELECT ... FOR SHARE
, or from
reading the data in certain transaction isolation levels.
Consistent reads ignore any locks set on the records that
exist in the read view. (Old versions of a record cannot be
locked; they are reconstructed by applying
undo logs on an
in-memory copy of the record.)
These clauses are primarily useful when dealing with tree-structured or graph-structured data, either in a single table or split across multiple tables. You traverse edges or tree branches from one place to another, while reserving the right to come back and change any of these “pointer” values.
All locks set by FOR SHARE
and FOR
UPDATE
queries are released when the transaction is
committed or rolled back.
Locking reads are only possible when autocommit is disabled
(either by beginning transaction with
START
TRANSACTION
or by setting
autocommit
to 0.
A locking read clause in an outer statement does not lock the
rows of a table in a nested subquery unless a locking read
clause is also specified in the subquery. For example, the
following statement does not lock rows in table
t2
.
SELECT * FROM t1 WHERE c1 = (SELECT c1 FROM t2) FOR UPDATE;
To lock rows in table t2
, add a locking read
clause to the subquery:
SELECT * FROM t1 WHERE c1 = (SELECT c1 FROM t2 FOR UPDATE) FOR UPDATE;
Suppose that you want to insert a new row into a table
child
, and make sure that the child row has
a parent row in table parent
. Your
application code can ensure referential integrity throughout
this sequence of operations.
First, use a consistent read to query the table
PARENT
and verify that the parent row
exists. Can you safely insert the child row to table
CHILD
? No, because some other session could
delete the parent row in the moment between your
SELECT
and your INSERT
,
without you being aware of it.
To avoid this potential issue, perform the
SELECT
using FOR
SHARE
:
SELECT * FROM parent WHERE NAME = 'Jones' FOR SHARE;
After the FOR SHARE
query returns the
parent 'Jones'
, you can safely add the
child record to the CHILD
table and commit
the transaction. Any transaction that tries to acquire an
exclusive lock in the applicable row in the
PARENT
table waits until you are finished,
that is, until the data in all tables is in a consistent
state.
For another example, consider an integer counter field in a
table CHILD_CODES
, used to assign a unique
identifier to each child added to table
CHILD
. Do not use either consistent read or
a shared mode read to read the present value of the counter,
because two users of the database could see the same value for
the counter, and a duplicate-key error occurs if two
transactions attempt to add rows with the same identifier to
the CHILD
table.
Here, FOR SHARE
is not a good solution
because if two users read the counter at the same time, at
least one of them ends up in deadlock when it attempts to
update the counter.
To implement reading and incrementing the counter, first
perform a locking read of the counter using FOR
UPDATE
, and then increment the counter. For example:
SELECT counter_field FROM child_codes FOR UPDATE; UPDATE child_codes SET counter_field = counter_field + 1;
A SELECT ... FOR
UPDATE
reads the latest available data, setting
exclusive locks on each row it reads. Thus, it sets the same
locks a searched SQL UPDATE
would set on the rows.
The preceding description is merely an example of how
SELECT ... FOR
UPDATE
works. In MySQL, the specific task of
generating a unique identifier actually can be accomplished
using only a single access to the table:
UPDATE child_codes SET counter_field = LAST_INSERT_ID(counter_field + 1); SELECT LAST_INSERT_ID();
The SELECT
statement merely
retrieves the identifier information (specific to the current
connection). It does not access any table.
If a row is locked by a transaction, a SELECT ... FOR
UPDATE
or SELECT ... FOR SHARE
transaction that requests the same locked row must wait until
the blocking transaction releases the row lock. This behavior
prevents transactions from updating or deleting rows that are
queried for updates by other transactions. However, waiting
for a row lock to be released is not necessary if you want the
query to return immediately when a requested row is locked, or
if excluding locked rows from the result set is acceptable.
To avoid waiting for other transactions to release row locks,
NOWAIT
and SKIP LOCKED
options may be used with SELECT ... FOR
UPDATE
or SELECT ... FOR SHARE
locking read statements.
NOWAIT
A locking read that uses NOWAIT
never
waits to acquire a row lock. The query executes
immediately, failing with an error if a requested row is
locked.
SKIP LOCKED
A locking read that uses SKIP LOCKED
never waits to acquire a row lock. The query executes
immediately, removing locked rows from the result set.
Queries that skip locked rows return an inconsistent
view of the data. SKIP LOCKED
is
therefore not suitable for general transactional work.
However, it may be used to avoid lock contention when
multiple sessions access the same queue-like table.
NOWAIT
and SKIP LOCKED
only apply to row-level locks.
Statements that use NOWAIT
or SKIP
LOCKED
are unsafe for statement based replication.
The following example demonstrates NOWAIT
and SKIP LOCKED
. Session 1 starts a
transaction that takes a row lock on a single record. Session
2 attempts a locking read on the same record using the
NOWAIT
option. Because the requested row is
locked by Session 1, the locking read returns immediately with
an error. In Session 3, the locking read with SKIP
LOCKED
returns the requested rows except for the row
that is locked by Session 1.
# Session 1: mysql>CREATE TABLE t (i INT, PRIMARY KEY (i)) ENGINE = InnoDB;
mysql>INSERT INTO t (i) VALUES(1),(2),(3);
mysql>START TRANSACTION;
mysql>SELECT * FROM t WHERE i = 2 FOR UPDATE;
+---+ | i | +---+ | 2 | +---+ # Session 2: mysql>START TRANSACTION;
mysql>SELECT * FROM t WHERE i = 2 FOR UPDATE NOWAIT;
ERROR 3572 (HY000): Do not wait for lock. # Session 3: mysql>START TRANSACTION;
mysql>SELECT * FROM t FOR UPDATE SKIP LOCKED;
+---+ | i | +---+ | 1 | | 3 | +---+
A locking read, an
UPDATE
, or a
DELETE
generally set record locks
on every index record that is scanned in the processing of the SQL
statement. It does not matter whether there are
WHERE
conditions in the statement that would
exclude the row. InnoDB
does not remember the
exact WHERE
condition, but only knows which
index ranges were scanned. The locks are normally
next-key locks that also
block inserts into the “gap” immediately before the
record. However, gap locking
can be disabled explicitly, which causes next-key locking not to
be used. For more information, see
Section 15.7.1, “InnoDB Locking”. The transaction isolation level
also can affect which locks are set; see
Section 15.7.2.1, “Transaction Isolation Levels”.
If a secondary index is used in a search and index record locks to
be set are exclusive, InnoDB
also retrieves the
corresponding clustered index records and sets locks on them.
If you have no indexes suitable for your statement and MySQL must scan the entire table to process the statement, every row of the table becomes locked, which in turn blocks all inserts by other users to the table. It is important to create good indexes so that your queries do not unnecessarily scan many rows.
InnoDB
sets specific types of locks as follows.
SELECT ...
FROM
is a consistent read, reading a snapshot of the
database and setting no locks unless the transaction isolation
level is set to
SERIALIZABLE
. For
SERIALIZABLE
level, the
search sets shared next-key locks on the index records it
encounters. However, only an index record lock is required for
statements that lock rows using a unique index to search for a
unique row.
SELECT ... FOR
UPDATE
and
SELECT ... FOR
SHARE
statements that use a unique index acquire
locks for scanned rows, and release the locks for rows that do
not qualify for inclusion in the result set (for example, if
they do not meet the criteria given in the
WHERE
clause). However, in some cases, rows
might not be unlocked immediately because the relationship
between a result row and its original source is lost during
query execution. For example, in a
UNION
, scanned (and locked)
rows from a table might be inserted into a temporary table
before evaluation whether they qualify for the result set. In
this circumstance, the relationship of the rows in the
temporary table to the rows in the original table is lost and
the latter rows are not unlocked until the end of query
execution.
For locking reads
(SELECT
with FOR
UPDATE
or FOR SHARE
),
UPDATE
, and
DELETE
statements, the locks
that are taken depend on whether the statement uses a unique
index with a unique search condition, or a range-type search
condition.
For a unique index with a unique search condition,
InnoDB
locks only the index record
found, not the gap before
it.
For other search conditions, and for non-unique indexes,
InnoDB
locks the index range scanned,
using gap locks or
next-key locks
to block insertions by other sessions into the gaps
covered by the range. For information about gap locks and
next-key locks, see Section 15.7.1, “InnoDB Locking”.
For index records the search encounters,
SELECT ... FOR
UPDATE
blocks other sessions from doing
SELECT ... FOR
SHARE
or from reading in certain transaction
isolation levels. Consistent reads ignore any locks set on the
records that exist in the read view.
UPDATE ... WHERE
...
sets an exclusive next-key lock on every record
the search encounters. However, only an index record lock is
required for statements that lock rows using a unique index to
search for a unique row.
When UPDATE
modifies a
clustered index record, implicit locks are taken on affected
secondary index records. The
UPDATE
operation also takes
shared locks on affected secondary index records when
performing duplicate check scans prior to inserting new
secondary index records, and when inserting new secondary
index records.
DELETE FROM ... WHERE
...
sets an exclusive next-key lock on every record
the search encounters. However, only an index record lock is
required for statements that lock rows using a unique index to
search for a unique row.
INSERT
sets an exclusive lock
on the inserted row. This lock is an index-record lock, not a
next-key lock (that is, there is no gap lock) and does not
prevent other sessions from inserting into the gap before the
inserted row.
Prior to inserting the row, a type of gap lock called an insert intention gap lock is set. This lock signals the intent to insert in such a way that multiple transactions inserting into the same index gap need not wait for each other if they are not inserting at the same position within the gap. Suppose that there are index records with values of 4 and 7. Separate transactions that attempt to insert values of 5 and 6 each lock the gap between 4 and 7 with insert intention locks prior to obtaining the exclusive lock on the inserted row, but do not block each other because the rows are nonconflicting.
If a duplicate-key error occurs, a shared lock on the
duplicate index record is set. This use of a shared lock can
result in deadlock should there be multiple sessions trying to
insert the same row if another session already has an
exclusive lock. This can occur if another session deletes the
row. Suppose that an InnoDB
table
t1
has the following structure:
CREATE TABLE t1 (i INT, PRIMARY KEY (i)) ENGINE = InnoDB;
Now suppose that three sessions perform the following operations in order:
Session 1:
START TRANSACTION; INSERT INTO t1 VALUES(1);
Session 2:
START TRANSACTION; INSERT INTO t1 VALUES(1);
Session 3:
START TRANSACTION; INSERT INTO t1 VALUES(1);
Session 1:
ROLLBACK;
The first operation by session 1 acquires an exclusive lock for the row. The operations by sessions 2 and 3 both result in a duplicate-key error and they both request a shared lock for the row. When session 1 rolls back, it releases its exclusive lock on the row and the queued shared lock requests for sessions 2 and 3 are granted. At this point, sessions 2 and 3 deadlock: Neither can acquire an exclusive lock for the row because of the shared lock held by the other.
A similar situation occurs if the table already contains a row with key value 1 and three sessions perform the following operations in order:
Session 1:
START TRANSACTION; DELETE FROM t1 WHERE i = 1;
Session 2:
START TRANSACTION; INSERT INTO t1 VALUES(1);
Session 3:
START TRANSACTION; INSERT INTO t1 VALUES(1);
Session 1:
COMMIT;
The first operation by session 1 acquires an exclusive lock for the row. The operations by sessions 2 and 3 both result in a duplicate-key error and they both request a shared lock for the row. When session 1 commits, it releases its exclusive lock on the row and the queued shared lock requests for sessions 2 and 3 are granted. At this point, sessions 2 and 3 deadlock: Neither can acquire an exclusive lock for the row because of the shared lock held by the other.
INSERT
... ON DUPLICATE KEY UPDATE
differs from a simple
INSERT
in that an exclusive
lock rather than a shared lock is placed on the row to be
updated when a duplicate-key error occurs. An exclusive
index-record lock is taken for a duplicate primary key value.
An exclusive next-key lock is taken for a duplicate unique key
value.
REPLACE
is done like an
INSERT
if there is no collision
on a unique key. Otherwise, an exclusive next-key lock is
placed on the row to be replaced.
INSERT INTO T SELECT ... FROM S WHERE ...
sets an exclusive index record lock (without a gap lock) on
each row inserted into T
. If the
transaction isolation level is READ
COMMITTED
, InnoDB
does the search
on S
as a consistent read (no locks).
Otherwise, InnoDB
sets shared next-key
locks on rows from S
.
InnoDB
has to set locks in the latter case:
During roll-forward recovery using a statement-based binary
log, every SQL statement must be executed in exactly the same
way it was done originally.
CREATE TABLE ...
SELECT ...
performs the
SELECT
with shared next-key
locks or as a consistent read, as for
INSERT ...
SELECT
.
When a SELECT
is used in the constructs
REPLACE INTO t SELECT ... FROM s WHERE ...
or UPDATE t ... WHERE col IN (SELECT ... FROM s
...)
, InnoDB
sets shared next-key
locks on rows from table s
.
While initializing a previously specified
AUTO_INCREMENT
column on a table,
InnoDB
sets an exclusive lock on the end of
the index associated with the
AUTO_INCREMENT
column. In accessing the
auto-increment counter, InnoDB
uses a
specific AUTO-INC
table lock mode where the
lock lasts only to the end of the current SQL statement, not
to the end of the entire transaction. Other sessions cannot
insert into the table while the AUTO-INC
table lock is held; see
Section 15.7.2, “InnoDB Transaction Model”.
InnoDB
fetches the value of a previously
initialized AUTO_INCREMENT
column without
setting any locks.
If a FOREIGN KEY
constraint is defined on a
table, any insert, update, or delete that requires the
constraint condition to be checked sets shared record-level
locks on the records that it looks at to check the constraint.
InnoDB
also sets these locks in the case
where the constraint fails.
LOCK TABLES
sets table locks,
but it is the higher MySQL layer above the
InnoDB
layer that sets these locks.
InnoDB
is aware of table locks if
innodb_table_locks = 1
(the default) and
autocommit = 0
, and the MySQL
layer above InnoDB
knows about row-level
locks.
Otherwise, InnoDB
's automatic deadlock
detection cannot detect deadlocks where such table locks are
involved. Also, because in this case the higher MySQL layer
does not know about row-level locks, it is possible to get a
table lock on a table where another session currently has
row-level locks. However, this does not endanger transaction
integrity, as discussed in
Section 15.7.5.2, “Deadlock Detection and Rollback”. See also
Section 15.6.1.6, “Limits on InnoDB Tables”.
The so-called phantom
problem occurs within a transaction when the same query produces
different sets of rows at different times. For example, if a
SELECT
is executed twice, but
returns a row the second time that was not returned the first
time, the row is a “phantom” row.
Suppose that there is an index on the id
column
of the child
table and that you want to read
and lock all rows from the table having an identifier value larger
than 100, with the intention of updating some column in the
selected rows later:
SELECT * FROM child WHERE id > 100 FOR UPDATE;
The query scans the index starting from the first record where
id
is bigger than 100. Let the table contain
rows having id
values of 90 and 102. If the
locks set on the index records in the scanned range do not lock
out inserts made in the gaps (in this case, the gap between 90 and
102), another session can insert a new row into the table with an
id
of 101. If you were to execute the same
SELECT
within the same transaction,
you would see a new row with an id
of 101 (a
“phantom”) in the result set returned by the query.
If we regard a set of rows as a data item, the new phantom child
would violate the isolation principle of transactions that a
transaction should be able to run so that the data it has read
does not change during the transaction.
To prevent phantoms, InnoDB
uses an algorithm
called next-key locking that
combines index-row locking with gap locking.
InnoDB
performs row-level locking in such a way
that when it searches or scans a table index, it sets shared or
exclusive locks on the index records it encounters. Thus, the
row-level locks are actually index-record locks. In addition, a
next-key lock on an index record also affects the
“gap” before that index record. That is, a next-key
lock is an index-record lock plus a gap lock on the gap preceding
the index record. If one session has a shared or exclusive lock on
record R
in an index, another session cannot
insert a new index record in the gap immediately before
R
in the index order.
When InnoDB
scans an index, it can also lock
the gap after the last record in the index. Just that happens in
the preceding example: To prevent any insert into the table where
id
would be bigger than 100, the locks set by
InnoDB
include a lock on the gap following
id
value 102.
You can use next-key locking to implement a uniqueness check in your application: If you read your data in share mode and do not see a duplicate for a row you are going to insert, then you can safely insert your row and know that the next-key lock set on the successor of your row during the read prevents anyone meanwhile inserting a duplicate for your row. Thus, the next-key locking enables you to “lock” the nonexistence of something in your table.
Gap locking can be disabled as discussed in Section 15.7.1, “InnoDB Locking”. This may cause phantom problems because other sessions can insert new rows into the gaps when gap locking is disabled.
A deadlock is a situation where different transactions are unable to proceed because each holds a lock that the other needs. Because both transactions are waiting for a resource to become available, neither ever release the locks it holds.
A deadlock can occur when transactions lock rows in multiple
tables (through statements such as
UPDATE
or
SELECT ... FOR
UPDATE
), but in the opposite order. A deadlock can also
occur when such statements lock ranges of index records and gaps,
with each transaction acquiring some locks but not others due to a
timing issue. For a deadlock example, see
Section 15.7.5.1, “An InnoDB Deadlock Example”.
To reduce the possibility of deadlocks, use transactions rather
than LOCK TABLES
statements; keep
transactions that insert or update data small enough that they do
not stay open for long periods of time; when different
transactions update multiple tables or large ranges of rows, use
the same order of operations (such as
SELECT ... FOR
UPDATE
) in each transaction; create indexes on the
columns used in SELECT ...
FOR UPDATE
and
UPDATE ... WHERE
statements. The possibility of deadlocks is not affected by the
isolation level, because the isolation level changes the behavior
of read operations, while deadlocks occur because of write
operations. For more information about avoiding and recovering
from deadlock conditions, see
Section 15.7.5.3, “How to Minimize and Handle Deadlocks”.
When deadlock detection is enabled (the default) and a deadlock
does occur, InnoDB
detects the condition and
rolls back one of the transactions (the victim). If deadlock
detection is disabled using the
innodb_deadlock_detect
configuration option, InnoDB
relies on the
innodb_lock_wait_timeout
setting
to roll back transactions in case of a deadlock. Thus, even if
your application logic is correct, you must still handle the case
where a transaction must be retried. To see the last deadlock in
an InnoDB
user transaction, use the
SHOW ENGINE INNODB
STATUS
command. If frequent deadlocks highlight a
problem with transaction structure or application error handling,
run with the
innodb_print_all_deadlocks
setting enabled to print information about all deadlocks to the
mysqld error log. For more information about
how deadlocks are automatically detected and handled, see
Section 15.7.5.2, “Deadlock Detection and Rollback”.
The following example illustrates how an error can occur when a lock request would cause a deadlock. The example involves two clients, A and B.
First, client A creates a table containing one row, and then
begins a transaction. Within the transaction, A obtains an
S
lock on the row by selecting it in share
mode:
mysql>CREATE TABLE t (i INT) ENGINE = InnoDB;
Query OK, 0 rows affected (1.07 sec) mysql>INSERT INTO t (i) VALUES(1);
Query OK, 1 row affected (0.09 sec) mysql>START TRANSACTION;
Query OK, 0 rows affected (0.00 sec) mysql>SELECT * FROM t WHERE i = 1 FOR SHARE;
+------+ | i | +------+ | 1 | +------+
Next, client B begins a transaction and attempts to delete the row from the table:
mysql>START TRANSACTION;
Query OK, 0 rows affected (0.00 sec) mysql>DELETE FROM t WHERE i = 1;
The delete operation requires an X
lock. The
lock cannot be granted because it is incompatible with the
S
lock that client A holds, so the request
goes on the queue of lock requests for the row and client B
blocks.
Finally, client A also attempts to delete the row from the table:
mysql> DELETE FROM t WHERE i = 1;
ERROR 1213 (40001): Deadlock found when trying to get lock;
try restarting transaction
Deadlock occurs here because client A needs an
X
lock to delete the row. However, that lock
request cannot be granted because client B already has a request
for an X
lock and is waiting for client A to
release its S
lock. Nor can the
S
lock held by A be upgraded to an
X
lock because of the prior request by B for
an X
lock. As a result,
InnoDB
generates an error for one of the
clients and releases its locks. The client returns this error:
ERROR 1213 (40001): Deadlock found when trying to get lock; try restarting transaction
At that point, the lock request for the other client can be granted and it deletes the row from the table.
When deadlock
detection is enabled (the default),
InnoDB
automatically detects transaction
deadlocks and rolls back a
transaction or transactions to break the deadlock.
InnoDB
tries to pick small transactions to
roll back, where the size of a transaction is determined by the
number of rows inserted, updated, or deleted.
InnoDB
is aware of table locks if
innodb_table_locks = 1
(the default) and
autocommit = 0
, and the MySQL
layer above it knows about row-level locks. Otherwise,
InnoDB
cannot detect deadlocks where a table
lock set by a MySQL LOCK TABLES
statement or a lock set by a storage engine other than
InnoDB
is involved. Resolve these situations
by setting the value of the
innodb_lock_wait_timeout
system
variable.
When InnoDB
performs a complete rollback of a
transaction, all locks set by the transaction are released.
However, if just a single SQL statement is rolled back as a
result of an error, some of the locks set by the statement may
be preserved. This happens because InnoDB
stores row locks in a format such that it cannot know afterward
which lock was set by which statement.
If a SELECT
calls a stored
function in a transaction, and a statement within the function
fails, that statement rolls back. Furthermore, if
ROLLBACK
is
executed after that, the entire transaction rolls back.
If the LATEST DETECTED DEADLOCK
section of
InnoDB
Monitor output includes a message
stating, “TOO DEEP OR LONG SEARCH IN THE LOCK
TABLE WAITS-FOR GRAPH, WE WILL ROLL BACK FOLLOWING
TRANSACTION,” this indicates that the number
of transactions on the wait-for list has reached a limit of 200.
A wait-for list that exceeds 200 transactions is treated as a
deadlock and the transaction attempting to check the wait-for
list is rolled back. The same error may also occur if the
locking thread must look at more than 1,000,000 locks owned by
transactions on the wait-for list.
For techniques to organize database operations to avoid deadlocks, see Section 15.7.5, “Deadlocks in InnoDB”.
On high concurrency systems, deadlock detection can cause a
slowdown when numerous threads wait for the same lock. At
times, it may be more efficient to disable deadlock detection
and rely on the
innodb_lock_wait_timeout
setting for transaction rollback when a deadlock occurs.
Deadlock detection can be disabled using the
innodb_deadlock_detect
configuration option.
This section builds on the conceptual information about deadlocks in Section 15.7.5.2, “Deadlock Detection and Rollback”. It explains how to organize database operations to minimize deadlocks and the subsequent error handling required in applications.
Deadlocks are a classic problem in transactional databases, but they are not dangerous unless they are so frequent that you cannot run certain transactions at all. Normally, you must write your applications so that they are always prepared to re-issue a transaction if it gets rolled back because of a deadlock.
InnoDB
uses automatic row-level locking. You
can get deadlocks even in the case of transactions that just
insert or delete a single row. That is because these operations
are not really “atomic”; they automatically set
locks on the (possibly several) index records of the row
inserted or deleted.
You can cope with deadlocks and reduce the likelihood of their occurrence with the following techniques:
At any time, issue the
SHOW ENGINE
INNODB STATUS
command to determine the cause of
the most recent deadlock. That can help you to tune your
application to avoid deadlocks.
If frequent deadlock warnings cause concern, collect more
extensive debugging information by enabling the
innodb_print_all_deadlocks
configuration option. Information about each deadlock, not
just the latest one, is recorded in the MySQL
error log. Disable
this option when you are finished debugging.
Always be prepared to re-issue a transaction if it fails due to deadlock. Deadlocks are not dangerous. Just try again.
Keep transactions small and short in duration to make them less prone to collision.
Commit transactions immediately after making a set of related changes to make them less prone to collision. In particular, do not leave an interactive mysql session open for a long time with an uncommitted transaction.
If you use locking
reads (SELECT
... FOR UPDATE
or
SELECT ... FOR SHARE
),
try using a lower isolation level such as
READ COMMITTED
.
When modifying multiple tables within a transaction, or
different sets of rows in the same table, do those
operations in a consistent order each time. Then
transactions form well-defined queues and do not deadlock.
For example, organize database operations into functions
within your application, or call stored routines, rather
than coding multiple similar sequences of
INSERT
, UPDATE
, and
DELETE
statements in different places.
Add well-chosen indexes to your tables. Then your queries
need to scan fewer index records and consequently set fewer
locks. Use EXPLAIN
SELECT
to determine which indexes the MySQL server
regards as the most appropriate for your queries.
Use less locking. If you can afford to permit a
SELECT
to return data from an
old snapshot, do not add the clause FOR
UPDATE
or FOR SHARE
to it.
Using the READ COMMITTED
isolation level is good here, because each consistent read
within the same transaction reads from its own fresh
snapshot.
If nothing else helps, serialize your transactions with
table-level locks. The correct way to use
LOCK TABLES
with
transactional tables, such as InnoDB
tables, is to begin a transaction with SET
autocommit = 0
(not
START
TRANSACTION
) followed by LOCK
TABLES
, and to not call
UNLOCK
TABLES
until you commit the transaction
explicitly. For example, if you need to write to table
t1
and read from table
t2
, you can do this:
SET autocommit=0;
LOCK TABLES t1 WRITE, t2 READ, ...;
... do something with tables t1 and t2 here ...
COMMIT;
UNLOCK TABLES;
Table-level locks prevent concurrent updates to the table, avoiding deadlocks at the expense of less responsiveness for a busy system.
Another way to serialize transactions is to create an
auxiliary “semaphore” table that contains just
a single row. Have each transaction update that row before
accessing other tables. In that way, all transactions happen
in a serial fashion. Note that the InnoDB
instant deadlock detection algorithm also works in this
case, because the serializing lock is a row-level lock. With
MySQL table-level locks, the timeout method must be used to
resolve deadlocks.
This section provides configuration information and procedures for
InnoDB
initialization, startup, and various
components and features of the InnoDB
storage
engine. For information about optimizing database operations for
InnoDB
tables, see
Section 8.5, “Optimizing for InnoDB Tables”.
The first decisions to make about InnoDB
configuration involve the configuration of data files, log files,
page size, and memory buffers. It is recommended that you define
data file, log file, and page size configuration before creating
the InnoDB
instance. Modifying data file or log
file configuration after the InnoDB
instance is
created may involve a non-trivial procedure, and page size can
only be defined when the InnoDB
instance is
first initialized.
In addition to these topics, this section provides information
about specifying InnoDB
options in a
configuration file, viewing InnoDB
initialization information, and important storage considerations.
Because MySQL uses data file, log file, and page size
configuration settings to initialize the
InnoDB
instance, it is recommended that you
define these settings in a configuration file that MySQL reads
at startup, prior to initializing InnoDB
for
the first time. InnoDB
is initialized when
the MySQL server is started, and the first initialization of
InnoDB
normally occurs the first time you
start the MySQL server.
You can place InnoDB
options in the
[mysqld]
group of any option file that your
server reads when it starts. The locations of MySQL option files
are described in Section 4.2.7, “Using Option Files”.
To make sure that mysqld reads options only
from a specific file (and mysqld-auto.cnf
),
use the --defaults-file
option
as the first option on the command line when starting the
server:
mysqld --defaults-file=path_to_configuration_file
To view InnoDB
initialization information
during startup, start mysqld from a command
prompt. When mysqld is started from a command
prompt, initialization information is printed to the console.
For example, on Windows, if mysqld is located
in C:\Program Files\MySQL\MySQL Server
8.0\bin
, start the MySQL server like
this:
C:\> "C:\Program Files\MySQL\MySQL Server 8.0\bin\mysqld" --console
On Unix-like systems, mysqld is located in
the bin
directory of your MySQL
installation:
shell> bin/mysqld --user=mysql &
If you do not send server output to the console, check the error
log after startup to see the initialization information
InnoDB
printed during the startup process.
For information about starting MySQL using other methods, see Section 2.10.5, “Starting and Stopping MySQL Automatically”.
InnoDB
does not open all user tables and
associated data files at startup. However,
InnoDB
does check for the existence of
tablespace files (*.ibd
files) that are
referenced in the data dictionary. If a tablespace file is not
found, InnoDB
logs an error and continues
the startup sequence. Tablespace files that are referenced in
the redo log may be opened during crash recovery for redo
application.
Review the following storage-related considerations before proceeding with your startup configuration.
In some cases, database performance improves if the data is
not all placed on the same physical disk. Putting log files
on a different disk from data is very often beneficial for
performance. For example, you can place system tablespace
data files and log files on different disks. You can also
use raw disk partitions (raw devices) for
InnoDB
data files, which may speed up
I/O. See Using Raw Disk Partitions for the System Tablespace.
InnoDB
is a transaction-safe (ACID
compliant) storage engine for MySQL that has commit,
rollback, and crash-recovery capabilities to protect user
data. However, it cannot do
so if the underlying operating system or hardware
does not work as advertised. Many operating systems or disk
subsystems may delay or reorder write operations to improve
performance. On some operating systems, the very
fsync()
system call that should wait
until all unwritten data for a file has been flushed might
actually return before the data has been flushed to stable
storage. Because of this, an operating system crash or a
power outage may destroy recently committed data, or in the
worst case, even corrupt the database because of write
operations having been reordered. If data integrity is
important to you, perform some “pull-the-plug”
tests before using anything in production. On OS X 10.3 and
higher, InnoDB
uses a special
fcntl()
file flush method. Under Linux,
it is advisable to disable the
write-back cache.
On ATA/SATA disk drives, a command such hdparm -W0
/dev/hda
may work to disable the write-back cache.
Beware that some drives or disk
controllers may be unable to disable the write-back
cache.
With regard to InnoDB
recovery
capabilities that protect user data,
InnoDB
uses a file flush technique
involving a structure called the
doublewrite
buffer, which is enabled by default
(innodb_doublewrite=ON
).
The doublewrite buffer adds safety to recovery following a
crash or power outage, and improves performance on most
varieties of Unix by reducing the need for
fsync()
operations. It is recommended
that the innodb_doublewrite
option remains enabled if you are concerned with data
integrity or possible failures. For additional information
about the doublewrite buffer, see
Section 15.11.1, “InnoDB Disk I/O”.
Before using NFS with InnoDB
, review
potential issues outlined in
Using NFS with MySQL.
The innodb_data_file_path
configuration option defines the name, size, and attributes of
InnoDB
system tablespace data files. If you
do not specify a value for
innodb_data_file_path
, the default behavior
is to create a single auto-extending data file, slightly larger
than 12MB, named ibdata1
.
To specify more than one data file, separate them by semicolon
(;
) characters:
innodb_data_file_path=datafile_spec1
[;datafile_spec2
]...
The following setting configures a single 12MB data file named
ibdata1
that is auto-extending. No location
for the file is given, so by default, InnoDB
creates it in the MySQL data directory:
[mysqld] innodb_data_file_path=ibdata1:12M:autoextend
File size is specified using K
,
M
, or G
suffix letters to
indicate units of KB, MB, or GB. If specifying the data file
size in kilobytes (KB), do so in multiples of 1024. Otherwise,
KB values are rounded to nearest megabyte (MB) boundary. The sum
of the sizes of the files must be at least slightly larger than
12MB.
A minimum file size is enforced for the first system tablespace data file to ensure that there is enough space for doublewrite buffer pages:
For an innodb_page_size
value of 16KB or less, the minimum file size is 3MB.
For an innodb_page_size
value of 32KB, the minimum file size is 6MB.
For an innodb_page_size
value of 64KB, the minimum file size is 12MB.
A system tablespace with a fixed-size 50MB data file named
ibdata1
and a 50MB auto-extending file
named ibdata2
can be configured like this:
[mysqld] innodb_data_file_path=ibdata1:50M;ibdata2:50M:autoextend
The full syntax for a data file specification includes the file
name, file size, and optional autoextend
and
max
attributes:
file_name
:file_size
[:autoextend[:max:max_file_size
]]
The autoextend
and max
attributes can be used only for the data file that is specified
last in the
innodb_data_file_path
setting.
If you specify the autoextend
option for the
last data file, InnoDB
extends the data file
if it runs out of free space in the tablespace. The
autoextend
increment is 64MB at a time by
default. To modify the increment, change the
innodb_autoextend_increment
system variable.
If the disk becomes full, you might want to add another data file on another disk. For instructions, see Resizing the System Tablespace.
The size limit of individual files is determined by your operating system. You can set the file size to more than 4GB on operating systems that support large files. You can also use raw disk partitions as data files.
InnoDB
is not aware of the file system
maximum file size, so be cautious on file systems where the
maximum file size is a small value such as 2GB. To specify a
maximum size for an auto-extending data file, use the
max
attribute following the
autoextend
attribute. Use the
max
attribute only in cases where
constraining disk usage is of critical importance, because
exceeding the maximum size causes a fatal error, possibly
causing the server to exit. The following configuration permits
ibdata1
to grow to a limit of 500MB:
[mysqld] innodb_data_file_path=ibdata1:12M:autoextend:max:500M
InnoDB
creates system tablespace files in the
MySQL data directory by default
(datadir
). To specify a
location explicitly, use the
innodb_data_home_dir
option.
For example, to create two files named
ibdata1
and ibdata2
in
a directory named myibdata
, configure
InnoDB
like this:
[mysqld] innodb_data_home_dir = /path/to/myibdata/ innodb_data_file_path=ibdata1:50M;ibdata2:50M:autoextend
A trailing slash is required when specifying a value for
innodb_data_home_dir
.
InnoDB
does not create directories, so make
sure that the myibdata
directory exists
before you start the server. Use the Unix or DOS
mkdir
command to create directories.
Make sure that the MySQL server has the proper access rights to create files in the data directory. More generally, the server must have access rights in any directory where it needs to create data files.
InnoDB
forms the directory path for each data
file by textually concatenating the value of
innodb_data_home_dir
to the
data file name. If the
innodb_data_home_dir
option is
not specified, the default value is the “dot”
directory ./
, which means the MySQL data
directory. (The MySQL server changes its current working
directory to its data directory when it begins executing.)
If you specify
innodb_data_home_dir
as an
empty string, you can specify absolute paths for data files
listed in the
innodb_data_file_path
value.
The following example is equivalent to the preceding one:
[mysqld] innodb_data_home_dir = innodb_data_file_path=/path/to/myibdata/ibdata1:50M;/path/to/myibdata/ibdata2:50M:autoextend
By default, InnoDB
creates two 5MB redo log
files in the data directory named
ib_logfile0
and
ib_logfile1
.
The following options can be used to modify the default configuration:
innodb_log_group_home_dir
defines directory path to the InnoDB
log
files (the redo logs). If this option is not configured,
InnoDB
log files are created in the MySQL
data directory (datadir
).
You might use this option to place InnoDB
log files in a different physical storage location than
InnoDB
data files to avoid potential I/O
resource conflicts. For example:
[mysqld] innodb_log_group_home_dir = /dr3/iblogs
InnoDB
does not create directories, so
make sure that the log directory exists before you start
the server. Use the Unix or DOS mkdir
command to create any necessary directories.
Make sure that the MySQL server has the proper access rights to create files in the log directory. More generally, the server must have access rights in any directory where it needs to create log files.
innodb_log_files_in_group
defines the number of log files in the log group. The
default and recommended value is 2.
innodb_log_file_size
defines the size in bytes of each log file in the log group.
The combined size of log files
(innodb_log_file_size
*
innodb_log_files_in_group
)
cannot exceed a maximum value that is slightly less than
512GB. A pair of 255 GB log files, for example, approaches
the limit but does not exceed it. The default log file size
is 48MB. Generally, the combined size of the log files
should be large enough that the server can smooth out peaks
and troughs in workload activity, which often means that
there is enough redo log space to handle more than an hour
of write activity. The larger the value, the less checkpoint
flush activity is needed in the buffer pool, saving disk
I/O. For additional information, see
Section 8.5.4, “Optimizing InnoDB Redo Logging”.
By default, undo logs reside in two undo tablespaces that are created when the MySQL instance is initialized. The I/O patterns for undo logs make undo tablespaces good candidates for SSD storage.
The innodb_undo_directory
variable defines the path where InnoDB
creates default undo tablespaces. If that variable is undefined,
default undo tablespaces are created in the data directory. The
innodb_undo_directory
variable
is not dynamic. Configuring it requires restarting the server.
For information about configuring additional undo tablespaces, see Section 15.6.3.4, “Undo Tablespaces”.
The global temporary tablespace stores rollback segments for changes made to user-created temporary tables.
By default, InnoDB
creates a single
auto-extending global temporary tablespace data file named
ibtmp1
in the
innodb_data_home_dir
directory.
The initial file size is slightly larger than 12MB.
The innodb_temp_data_file_path
variable specifies the path, file name, and file size for global
temporary tablespace data files. File size is specified in KB,
MB, or GB by appending K, M, or G to the size value. The sum of
the sizes of the files must be slightly larger than 12MB.
To specify an alternate location for global temporary tablespace
data files, configure the
innodb_temp_data_file_path
variable at startup.
In MySQL 8.0.15 and earlier, session temporary tablespaces store
user-created temporary tables and internal temporary tables
created by the optimizer when InnoDB
is
configured as the on-disk storage engine for internal temporary
tables
(internal_tmp_disk_storage_engine=InnoDB
).
In MySQL 8.0.16 and later, the InnoDB
storage
engine is always used for internal temporary tables on disk.
The innodb_temp_tablespaces_dir
variable defines the location where InnoDB
creates session temporary tablespaces. The default location is
the #innodb_temp
directory in the data
directory.
To specify an alternate location for session temporary
tablespaces, configure the
innodb_temp_tablespaces_dir
variable at startup. A fully qualified path or path relative to
the data directory is permitted.
The innodb_page_size
option
specifies the page size for all InnoDB
tablespaces in a MySQL instance. This value is set when the
instance is created and remains constant afterward. Valid values
are 64KB, 32KB, 16KB (the default), 8KB, and 4KB. Alternatively,
you can specify page size in bytes (65536, 32768, 16384, 8192,
4096).
The default page size of 16KB is appropriate for a wide range of
workloads, particularly for queries involving table scans and
DML operations involving bulk updates. Smaller page sizes might
be more efficient for OLTP workloads involving many small
writes, where contention can be an issue when a single page
contains many rows. Smaller pages might also be efficient with
SSD storage devices, which typically use small block sizes.
Keeping the InnoDB
page size close to the
storage device block size minimizes the amount of unchanged data
that is rewritten to disk.
MySQL allocates memory to various caches and buffers to improve
performance of database operations. When allocating memory for
InnoDB
, always consider memory required by
the operating system, memory allocated to other applications,
and memory allocated for other MySQL buffers and caches. For
example, if you use MyISAM
tables, consider
the amount of memory allocated for the key buffer
(key_buffer_size
). For an
overview of MySQL buffers and caches, see
Section 8.12.3.1, “How MySQL Uses Memory”.
Buffers specific to InnoDB
are configured
using the following parameters:
innodb_buffer_pool_size
defines size of the buffer pool, which is the memory area
that holds cached data for InnoDB
tables,
indexes, and other auxiliary buffers. The size of the buffer
pool is important for system performance, and it is
typically recommended that
innodb_buffer_pool_size
is
configured to 50 to 75 percent of system memory. The default
buffer pool size is 128MB. For additional guidance, see
Section 8.12.3.1, “How MySQL Uses Memory”. For information about how to
configure InnoDB
buffer pool size, see
Section 15.8.3.1, “Configuring InnoDB Buffer Pool Size”. Buffer pool
size can be configured at startup or dynamically.
On systems with a large amount of memory, you can improve
concurrency by dividing the buffer pool into multiple buffer
pool instances. The number of buffer pool instances is
controlled by the by
innodb_buffer_pool_instances
option. By default, InnoDB
creates one
buffer pool instance. The number of buffer pool instances
can be configured at startup. For more information, see
Section 15.8.3.2, “Configuring Multiple Buffer Pool Instances”.
innodb_log_buffer_size
defines the size in bytes of the buffer that
InnoDB
uses to write to the log files on
disk. The default size is 16MB. A large log buffer enables
large transactions to run without a need to write the log to
disk before the transactions commit. If you have
transactions that update, insert, or delete many rows, you
might consider increasing the size of the log buffer to save
disk I/O.
innodb_log_buffer_size
can
be configured at startup. For related information, see
Section 8.5.4, “Optimizing InnoDB Redo Logging”.
On 32-bit GNU/Linux x86, be careful not to set memory usage
too high. glibc
may permit the process heap
to grow over thread stacks, which crashes your server. It is a
risk if the memory allocated to the mysqld
process for global and per-thread buffers and caches is close
to or exceeds 2GB.
A formula similar to the following that calculates global and per-thread memory allocation for MySQL can be used to estimate MySQL memory usage. You may need to modify the formula to account for buffers and caches in your MySQL version and configuration. For an overview of MySQL buffers and caches, see Section 8.12.3.1, “How MySQL Uses Memory”.
innodb_buffer_pool_size + key_buffer_size + max_connections*(sort_buffer_size+read_buffer_size+binlog_cache_size) + max_connections*2MB
Each thread uses a stack (often 2MB, but only 256KB in MySQL
binaries provided by Oracle Corporation.) and in the worst
case also uses sort_buffer_size +
read_buffer_size
additional memory.
On Linux, if the kernel is enabled for large page support,
InnoDB
can use large pages to allocate memory
for its buffer pool. See Section 8.12.3.2, “Enabling Large Page Support”.
You can now query InnoDB
tables where the MySQL
data directory is on read-only media, by enabling the
--innodb-read-only
configuration
option at server startup.
To prepare an instance for read-only operation, make sure all the
necessary information is flushed
to the data files before storing it on the read-only medium. Run
the server with change buffering disabled
(innodb_change_buffering=0
) and
do a slow shutdown.
To enable read-only mode for an entire MySQL instance, specify the following configuration options at server startup:
If the instance is on read-only media such as a DVD or CD, or
the /var
directory is not writeable by
all:
--pid-file=
and path_on_writeable_media
--event-scheduler=disabled
--innodb-temp-data-file-path
.
This option specifies the path, file name, and file size for
InnoDB
temporary tablespace data files. The
default setting is ibtmp1:12M:autoextend
,
which creates the ibtmp1
temporary
tablespace data file in the data directory. To prepare an
instance for read-only operation, set
innodb_temp_data_file_path
to
a location outside of the data directory. The path must be
relative to the data directory; for example:
--innodb-temp-data-file-path=../../../tmp/ibtmp1:12M:autoextend
As of MySQL 8.0, enabling
innodb_read_only
prevents table
creation and drop operations for all storage engines. These
operations modify data dictionary tables in the
mysql
system database, but those tables use the
InnoDB
storage engine and cannot be modified
when innodb_read_only
is enabled.
The same restriction applies to any operation that modifies data
dictionary tables, such as ANALYZE
TABLE
and
ALTER TABLE
.
tbl_name
ENGINE=engine_name
In addition, other tables in the mysql
system
database use the InnoDB
storage engine in MySQL
8.0. Making those tables read only results in
restrictions on operations that modify them. For example,
CREATE USER
,
GRANT
,
REVOKE
, and
INSTALL PLUGIN
operations are not
permitted in read-only mode.
This mode of operation is appropriate in situations such as:
Distributing a MySQL application, or a set of MySQL data, on a read-only storage medium such as a DVD or CD.
Multiple MySQL instances querying the same data directory simultaneously, typically in a data warehousing configuration. You might use this technique to avoid bottlenecks that can occur with a heavily loaded MySQL instance, or you might use different configuration options for the various instances to tune each one for particular kinds of queries.
Querying data that has been put into a read-only state for security or data integrity reasons, such as archived backup data.
This feature is mainly intended for flexibility in distribution and deployment, rather than raw performance based on the read-only aspect. See Section 8.5.3, “Optimizing InnoDB Read-Only Transactions” for ways to tune the performance of read-only queries, which do not require making the entire server read-only.
When the server is run in read-only mode through the
--innodb-read-only
option,
certain InnoDB
features and components are
reduced or turned off entirely:
No change
buffering is done, in particular no merges from the
change buffer. To make sure the change buffer is empty when
you prepare the instance for read-only operation, disable
change buffering
(innodb_change_buffering=0
)
and do a slow
shutdown first.
There is no crash recovery phase at startup. The instance must have performed a slow shutdown before being put into the read-only state.
Because the redo log is
not used in read-only operation, you can set
innodb_log_file_size
to the
smallest size possible (1 MB) before making the instance
read-only.
All background threads other than I/O read threads are turned off. As a consequence, a read-only instance cannot encounter any deadlock.
Information about deadlocks, monitor output, and so on is not
written to temporary files. As a consequence,
SHOW ENGINE
INNODB STATUS
does not produce any output.
Changes to configuration option settings that would normally change the behavior of write operations, have no effect when the server is in read-only mode.
The MVCC processing to enforce isolation levels is turned off. All queries read the latest version of a record, because update and deletes are not possible.
The undo log is not used.
Disable any settings for the
innodb_undo_tablespaces
and
innodb_undo_directory
configuration options.
This section provides configuration and tuning information for the
InnoDB
buffer pool.
You can configure InnoDB
buffer pool size
offline (at startup) or online, while the server is running.
Behavior described in this section applies to both methods. For
additional information about configuring buffer pool size
online, see Configuring InnoDB Buffer Pool Size Online.
When increasing or decreasing
innodb_buffer_pool_size
, the
operation is performed in chunks. Chunk size is defined by the
innodb_buffer_pool_chunk_size
configuration option, which has a default of
128M
. For more information, see
Configuring InnoDB Buffer Pool Chunk Size.
Buffer pool size must always be equal to or a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
If you configure
innodb_buffer_pool_size
to a
value that is not equal to or a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
,
buffer pool size is automatically adjusted to a value that is
equal to or a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
In the following example,
innodb_buffer_pool_size
is set
to 8G
, and
innodb_buffer_pool_instances
is
set to 16
.
innodb_buffer_pool_chunk_size
is 128M
, which is the default value.
8G
is a valid
innodb_buffer_pool_size
value
because 8G
is a multiple of
innodb_buffer_pool_instances=16
*
innodb_buffer_pool_chunk_size=128M
,
which is 2G
.
shell> mysqld --innodb-buffer-pool-size=8G --innodb-buffer-pool-instances=16
mysql> SELECT @@innodb_buffer_pool_size/1024/1024/1024;
+------------------------------------------+
| @@innodb_buffer_pool_size/1024/1024/1024 |
+------------------------------------------+
| 8.000000000000 |
+------------------------------------------+
In this example,
innodb_buffer_pool_size
is set
to 9G
, and
innodb_buffer_pool_instances
is
set to 16
.
innodb_buffer_pool_chunk_size
is 128M
, which is the default value. In this
case, 9G
is not a multiple of
innodb_buffer_pool_instances=16
*
innodb_buffer_pool_chunk_size=128M
,
so innodb_buffer_pool_size
is
adjusted to 10G
, which is a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
shell> mysqld --innodb-buffer-pool-size=9G --innodb-buffer-pool-instances=16
mysql> SELECT @@innodb_buffer_pool_size/1024/1024/1024;
+------------------------------------------+
| @@innodb_buffer_pool_size/1024/1024/1024 |
+------------------------------------------+
| 10.000000000000 |
+------------------------------------------+
innodb_buffer_pool_chunk_size
can be increased or decreased in 1MB (1048576 byte) units but
can only be modified at startup, in a command line string or
in a MySQL configuration file.
Command line:
shell> mysqld --innodb-buffer-pool-chunk-size=134217728
Configuration file:
[mysqld] innodb_buffer_pool_chunk_size=134217728
The following conditions apply when altering
innodb_buffer_pool_chunk_size
:
If the new
innodb_buffer_pool_chunk_size
value *
innodb_buffer_pool_instances
is larger than the current buffer pool size when the
buffer pool is initialized,
innodb_buffer_pool_chunk_size
is truncated to
innodb_buffer_pool_size
/
innodb_buffer_pool_instances
.
For example, if the buffer pool is initialized with a size
of 2GB
(2147483648 bytes),
4
buffer pool instances, and a chunk
size of 1GB
(1073741824 bytes), chunk
size is truncated to a value equal to
innodb_buffer_pool_size
/
innodb_buffer_pool_instances
,
as shown below:
shell>mysqld --innodb-buffer-pool-size=2147483648 --innodb-buffer-pool-instances=4
--innodb-buffer-pool-chunk-size=1073741824;
mysql>SELECT @@innodb_buffer_pool_size;
+---------------------------+ | @@innodb_buffer_pool_size | +---------------------------+ | 2147483648 | +---------------------------+ mysql>SELECT @@innodb_buffer_pool_instances;
+--------------------------------+ | @@innodb_buffer_pool_instances | +--------------------------------+ | 4 | +--------------------------------+ # Chunk size was set to 1GB (1073741824 bytes) on startup but was # truncated to innodb_buffer_pool_size / innodb_buffer_pool_instances mysql>SELECT @@innodb_buffer_pool_chunk_size;
+---------------------------------+ | @@innodb_buffer_pool_chunk_size | +---------------------------------+ | 536870912 | +---------------------------------+
Buffer pool size must always be equal to or a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
If you alter
innodb_buffer_pool_chunk_size
,
innodb_buffer_pool_size
is automatically adjusted to a value that is equal to or a
multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
The adjustment occurs when the buffer pool is initialized.
This behavior is demonstrated in the following example:
# The buffer pool has a default size of 128MB (134217728 bytes) mysql>SELECT @@innodb_buffer_pool_size;
+---------------------------+ | @@innodb_buffer_pool_size | +---------------------------+ | 134217728 | +---------------------------+ # The chunk size is also 128MB (134217728 bytes) mysql>SELECT @@innodb_buffer_pool_chunk_size;
+---------------------------------+ | @@innodb_buffer_pool_chunk_size | +---------------------------------+ | 134217728 | +---------------------------------+ # There is a single buffer pool instance mysql>SELECT @@innodb_buffer_pool_instances;
+--------------------------------+ | @@innodb_buffer_pool_instances | +--------------------------------+ | 1 | +--------------------------------+ # Chunk size is decreased by 1MB (1048576 bytes) at startup # (134217728 - 1048576 = 133169152): shell>mysqld --innodb-buffer-pool-chunk-size=133169152
mysql>SELECT @@innodb_buffer_pool_chunk_size;
+---------------------------------+ | @@innodb_buffer_pool_chunk_size | +---------------------------------+ | 133169152 | +---------------------------------+ # Buffer pool size increases from 134217728 to 266338304 # Buffer pool size is automatically adjusted to a value that is equal to # or a multiple of innodb_buffer_pool_chunk_size * innodb_buffer_pool_instances mysql>SELECT @@innodb_buffer_pool_size;
+---------------------------+ | @@innodb_buffer_pool_size | +---------------------------+ | 266338304 | +---------------------------+
This example demonstrates the same behavior but with multiple buffer pool instances:
# The buffer pool has a default size of 2GB (2147483648 bytes) mysql>SELECT @@innodb_buffer_pool_size;
+---------------------------+ | @@innodb_buffer_pool_size | +---------------------------+ | 2147483648 | +---------------------------+ # The chunk size is .5 GB (536870912 bytes) mysql>SELECT @@innodb_buffer_pool_chunk_size;
+---------------------------------+ | @@innodb_buffer_pool_chunk_size | +---------------------------------+ | 536870912 | +---------------------------------+ # There are 4 buffer pool instances mysql>SELECT @@innodb_buffer_pool_instances;
+--------------------------------+ | @@innodb_buffer_pool_instances | +--------------------------------+ | 4 | +--------------------------------+ # Chunk size is decreased by 1MB (1048576 bytes) at startup # (536870912 - 1048576 = 535822336): shell>mysqld --innodb-buffer-pool-chunk-size=535822336
mysql>SELECT @@innodb_buffer_pool_chunk_size;
+---------------------------------+ | @@innodb_buffer_pool_chunk_size | +---------------------------------+ | 535822336 | +---------------------------------+ # Buffer pool size increases from 2147483648 to 4286578688 # Buffer pool size is automatically adjusted to a value that is equal to # or a multiple of innodb_buffer_pool_chunk_size * innodb_buffer_pool_instances mysql>SELECT @@innodb_buffer_pool_size;
+---------------------------+ | @@innodb_buffer_pool_size | +---------------------------+ | 4286578688 | +---------------------------+
Care should be taken when changing
innodb_buffer_pool_chunk_size
,
as changing this value can increase the size of the buffer
pool, as shown in the examples above. Before you change
innodb_buffer_pool_chunk_size
,
calculate the effect on
innodb_buffer_pool_size
to ensure that the resulting buffer pool size is
acceptable.
To avoid potential performance issues, the number of chunks
(innodb_buffer_pool_size
/
innodb_buffer_pool_chunk_size
)
should not exceed 1000.
The innodb_buffer_pool_size
configuration option can be set dynamically using a
SET
statement, allowing you to
resize the buffer pool without restarting the server. For
example:
mysql> SET GLOBAL innodb_buffer_pool_size=402653184;
Active transactions and operations performed through
InnoDB
APIs should be completed before
resizing the buffer pool. When initiating a resizing
operation, the operation does not start until all active
transactions are completed. Once the resizing operation is in
progress, new transactions and operations that require access
to the buffer pool must wait until the resizing operation
finishes. The exception to the rule is that concurrent access
to the buffer pool is permitted while the buffer pool is
defragmented and pages are withdrawn when buffer pool size is
decreased. A drawback of allowing concurrent access is that it
could result in a temporary shortage of available pages while
pages are being withdrawn.
Nested transactions could fail if initiated after the buffer pool resizing operation begins.
The
Innodb_buffer_pool_resize_status
reports buffer pool resizing progress. For example:
mysql> SHOW STATUS WHERE Variable_name='InnoDB_buffer_pool_resize_status';
+----------------------------------+----------------------------------+
| Variable_name | Value |
+----------------------------------+----------------------------------+
| Innodb_buffer_pool_resize_status | Resizing also other hash tables. |
+----------------------------------+----------------------------------+
Buffer pool resizing progress is also logged in the server error log. This example shows notes that are logged when increasing the size of the buffer pool:
[Note] InnoDB: Resizing buffer pool from 134217728 to 4294967296. (unit=134217728) [Note] InnoDB: disabled adaptive hash index. [Note] InnoDB: buffer pool 0 : 31 chunks (253952 blocks) was added. [Note] InnoDB: buffer pool 0 : hash tables were resized. [Note] InnoDB: Resized hash tables at lock_sys, adaptive hash index, dictionary. [Note] InnoDB: completed to resize buffer pool from 134217728 to 4294967296. [Note] InnoDB: re-enabled adaptive hash index.
This example shows notes that are logged when decreasing the size of the buffer pool:
[Note] InnoDB: Resizing buffer pool from 4294967296 to 134217728. (unit=134217728) [Note] InnoDB: disabled adaptive hash index. [Note] InnoDB: buffer pool 0 : start to withdraw the last 253952 blocks. [Note] InnoDB: buffer pool 0 : withdrew 253952 blocks from free list. tried to relocate 0 pages. (253952/253952) [Note] InnoDB: buffer pool 0 : withdrawn target 253952 blocks. [Note] InnoDB: buffer pool 0 : 31 chunks (253952 blocks) was freed. [Note] InnoDB: buffer pool 0 : hash tables were resized. [Note] InnoDB: Resized hash tables at lock_sys, adaptive hash index, dictionary. [Note] InnoDB: completed to resize buffer pool from 4294967296 to 134217728. [Note] InnoDB: re-enabled adaptive hash index.
The resizing operation is performed by a background thread. When increasing the size of the buffer pool, the resizing operation:
Adds pages in chunks
(chunk size is
defined by
innodb_buffer_pool_chunk_size
)
Coverts hash tables, lists, and pointers to use new addresses in memory
Adds new pages to the free list
While these operations are in progress, other threads are blocked from accessing the buffer pool.
When decreasing the size of the buffer pool, the resizing operation:
Defragments the buffer pool and withdraws (frees) pages
Removes pages in chunks
(chunk size is
defined by
innodb_buffer_pool_chunk_size
)
Converts hash tables, lists, and pointers to use new addresses in memory
Of these operations, only defragmenting the buffer pool and withdrawing pages allow other threads to access to the buffer pool concurrently.
For systems with buffer pools in the multi-gigabyte range,
dividing the buffer pool into separate instances can improve
concurrency, by reducing contention as different threads read
and write to cached pages. This feature is typically intended
for systems with a buffer
pool size in the multi-gigabyte range. Multiple buffer
pool instances are configured using the
innodb_buffer_pool_instances
configuration option, and you might also adjust the
innodb_buffer_pool_size
value.
When the InnoDB
buffer pool is large, many
data requests can be satisfied by retrieving from memory. You
might encounter bottlenecks from multiple threads trying to
access the buffer pool at once. You can enable multiple buffer
pools to minimize this contention. Each page that is stored in
or read from the buffer pool is assigned to one of the buffer
pools randomly, using a hashing function. Each buffer pool
manages its own free lists, flush lists, LRUs, and all other
data structures connected to a buffer pool. Prior to MySQL 8.0,
each buffer pool was protected by its own buffer pool mutex. In
MySQL 8.0 and later, the buffer pool mutex was replaced by
several list and hash protecting mutexes, to reduce contention.
To enable multiple buffer pool instances, set the
innodb_buffer_pool_instances
configuration
option to a value greater than 1 (the default) up to 64 (the
maximum). This option takes effect only when you set
innodb_buffer_pool_size
to a size of 1GB or
more. The total size you specify is divided among all the buffer
pools. For best efficiency, specify a combination of
innodb_buffer_pool_instances
and innodb_buffer_pool_size
so
that each buffer pool instance is at least 1GB.
For information about modifying InnoDB
buffer
pool size, see Section 15.8.3.1, “Configuring InnoDB Buffer Pool Size”.
Rather than using a strict LRU
algorithm, InnoDB
uses a technique to
minimize the amount of data that is brought into the
buffer pool and never
accessed again. The goal is to make sure that frequently
accessed (“hot”) pages remain in the buffer pool,
even as read-ahead and
full table scans
bring in new blocks that might or might not be accessed
afterward.
Newly read blocks are inserted into the middle of the LRU list.
All newly read pages are inserted at a location that by default
is 3/8
from the tail of the LRU list. The
pages are moved to the front of the list (the most-recently used
end) when they are accessed in the buffer pool for the first
time. Thus, pages that are never accessed never make it to the
front portion of the LRU list, and “age out” sooner
than with a strict LRU approach. This arrangement divides the
LRU list into two segments, where the pages downstream of the
insertion point are considered “old” and are
desirable victims for LRU eviction.
For an explanation of the inner workings of the
InnoDB
buffer pool and specifics about the
LRU algorithm, see Section 15.5.1, “Buffer Pool”.
You can control the insertion point in the LRU list and choose
whether InnoDB
applies the same optimization
to blocks brought into the buffer pool by table or index scans.
The configuration parameter
innodb_old_blocks_pct
controls
the percentage of “old” blocks in the LRU list. The
default value of
innodb_old_blocks_pct
is
37
, corresponding to the original fixed ratio
of 3/8. The value range is 5
(new pages in
the buffer pool age out very quickly) to 95
(only 5% of the buffer pool is reserved for hot pages, making
the algorithm close to the familiar LRU strategy).
The optimization that keeps the buffer pool from being churned
by read-ahead can avoid similar problems due to table or index
scans. In these scans, a data page is typically accessed a few
times in quick succession and is never touched again. The
configuration parameter
innodb_old_blocks_time
specifies the time window (in milliseconds) after the first
access to a page during which it can be accessed without being
moved to the front (most-recently used end) of the LRU list. The
default value of
innodb_old_blocks_time
is
1000
. Increasing this value makes more and
more blocks likely to age out faster from the buffer pool.
Both innodb_old_blocks_pct
and
innodb_old_blocks_time
can be
specified in the MySQL option file (my.cnf
or
my.ini
) or changed at runtime with the
SET
GLOBAL
statement. Changing the value at runtime
requires privileges sufficient to set global system variables.
See Section 5.1.9.1, “System Variable Privileges”.
To help you gauge the effect of setting these parameters, the
SHOW ENGINE INNODB STATUS
command reports
buffer pool statistics. For details, see
Monitoring the Buffer Pool Using the InnoDB Standard Monitor.
Because the effects of these parameters can vary widely based on your hardware configuration, your data, and the details of your workload, always benchmark to verify the effectiveness before changing these settings in any performance-critical or production environment.
In mixed workloads where most of the activity is OLTP type with
periodic batch reporting queries which result in large scans,
setting the value of
innodb_old_blocks_time
during
the batch runs can help keep the working set of the normal
workload in the buffer pool.
When scanning large tables that cannot fit entirely in the
buffer pool, setting
innodb_old_blocks_pct
to a
small value keeps the data that is only read once from consuming
a significant portion of the buffer pool. For example, setting
innodb_old_blocks_pct=5
restricts this data
that is only read once to 5% of the buffer pool.
When scanning small tables that do fit into memory, there is
less overhead for moving pages around within the buffer pool, so
you can leave
innodb_old_blocks_pct
at its
default value, or even higher, such as
innodb_old_blocks_pct=50
.
The effect of the
innodb_old_blocks_time
parameter is harder to predict than the
innodb_old_blocks_pct
parameter, is relatively small, and varies more with the
workload. To arrive at an optimal value, conduct your own
benchmarks if the performance improvement from adjusting
innodb_old_blocks_pct
is not
sufficient.
A read-ahead request is
an I/O request to prefetch multiple pages in the
buffer pool
asynchronously, in anticipation that these pages will be needed
soon. The requests bring in all the pages in one
extent.
InnoDB
uses two read-ahead algorithms to
improve I/O performance:
Linear read-ahead is a
technique that predicts what pages might be needed soon based on
pages in the buffer pool being accessed sequentially. You
control when InnoDB
performs a read-ahead
operation by adjusting the number of sequential page accesses
required to trigger an asynchronous read request, using the
configuration parameter
innodb_read_ahead_threshold
.
Before this parameter was added, InnoDB
would
only calculate whether to issue an asynchronous prefetch request
for the entire next extent when it read the last page of the
current extent.
The configuration parameter
innodb_read_ahead_threshold
controls how sensitive InnoDB
is in detecting
patterns of sequential page access. If the number of pages read
sequentially from an extent is greater than or equal to
innodb_read_ahead_threshold
,
InnoDB
initiates an asynchronous read-ahead
operation of the entire following extent.
innodb_read_ahead_threshold
can
be set to any value from 0-64. The default value is 56. The
higher the value, the more strict the access pattern check. For
example, if you set the value to 48, InnoDB
triggers a linear read-ahead request only when 48 pages in the
current extent have been accessed sequentially. If the value is
8, InnoDB
triggers an asynchronous read-ahead
even if as few as 8 pages in the extent are accessed
sequentially. You can set the value of this parameter in the
MySQL configuration
file, or change it dynamically with the
SET
GLOBAL
statement, which requires privileges sufficient
to set global system variables. See
Section 5.1.9.1, “System Variable Privileges”.
Random read-ahead is a
technique that predicts when pages might be needed soon based on
pages already in the buffer pool, regardless of the order in
which those pages were read. If 13 consecutive pages from the
same extent are found in the buffer pool,
InnoDB
asynchronously issues a request to
prefetch the remaining pages of the extent. To enable this
feature, set the configuration variable
innodb_random_read_ahead
to
ON
.
The SHOW ENGINE INNODB STATUS
command
displays statistics to help you evaluate the effectiveness of
the read-ahead algorithm. Statistics include counter information
for the following global status variables:
This information can be useful when fine-tuning the
innodb_random_read_ahead
setting.
For more information about I/O performance, see Section 8.5.8, “Optimizing InnoDB Disk I/O” and Section 8.12.1, “Optimizing Disk I/O”.
InnoDB
performs certain tasks in the
background, including flushing
of dirty pages (those
pages that have been changed but are not yet written to the
database files) from the buffer
pool.
InnoDB
starts flushing buffer pool pages when
the percentage of dirty pages in the buffer pool reaches the low
water mark setting defined by
innodb_max_dirty_pages_pct_lwm
.
This option is intended to control the ratio of dirty pages in
the buffer pool and ideally prevent the percentage of dirty
pages from reaching
innodb_max_dirty_pages_pct
. If
the percentage of dirty pages in the buffer pool exceeds
innodb_max_dirty_pages_pct
,
InnoDB
begins to aggressively flush buffer
pool pages.
InnoDB
uses an algorithm to estimate the
required rate of flushing, based on the speed of redo log
generation and the current rate of flushing. The intent is to
smooth overall performance by ensuring that buffer flush
activity keeps up with the need to keep the buffer pool
“clean”. Automatically adjusting the rate of
flushing can help to avoid sudden dips in throughput, when
excessive buffer pool flushing limits the I/O capacity available
for ordinary read and write activity.
InnoDB
uses its log files in a circular
fashion. Before reusing a portion of a log file,
InnoDB
flushes to disk all dirty buffer pool
pages whose redo entries are contained in that portion of the
log file, a process known as a
sharp checkpoint.
If a workload is write-intensive, it generates a lot of redo
information, all written to the log file. If all available space
in the log files is used up, a sharp checkpoint occurs, causing
a temporary reduction in throughput. This situation can happen
even if
innodb_max_dirty_pages_pct
is
not reached.
InnoDB
uses a heuristic-based algorithm to
avoid such a scenario, by measuring the number of dirty pages in
the buffer pool and the rate at which redo is being generated.
Based on these numbers, InnoDB
decides how
many dirty pages to flush from the buffer pool each second. This
self-adapting algorithm is able to deal with sudden changes in
workload.
Internal benchmarking has shown that this algorithm not only maintains throughput over time, but can also improve overall throughput significantly.
Because adaptive flushing can significantly affect the I/O
pattern of a workload, the
innodb_adaptive_flushing
configuration parameter lets you turn off this feature. The
default value for
innodb_adaptive_flushing
is
ON
, enabling the adaptive flushing algorithm.
You can set the value of this parameter in the MySQL option file
(my.cnf
or my.ini
) or
change it dynamically with the
SET
GLOBAL
statement, which requires privileges sufficient
to set global system variables. See
Section 5.1.9.1, “System Variable Privileges”.
For information about fine-tuning InnoDB
buffer pool flushing behavior, see
Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”.
For more information about InnoDB
I/O
performance, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
The configuration options
innodb_flush_neighbors
and
innodb_lru_scan_depth
let you
fine-tune aspects of the
flushing process for the
InnoDB
buffer pool.
Specifies whether flushing a page from the buffer pool also flushes other dirty pages in the same extent. When the table data is stored on a traditional HDD storage device, flushing neighbor pages in one operation reduces I/O overhead (primarily for disk seek operations) compared to flushing individual pages at different times. For table data stored on SSD, seek time is not a significant factor and you can disable this setting to spread out write operations.
Specifies, per buffer pool instance, how far down the buffer pool LRU list the page cleaner thread scans looking for dirty pages to flush. This is a background operation performed once per second.
These options primarily help write-intensive workloads. With heavy DML activity, flushing can fall behind if it is not aggressive enough, resulting in excessive memory use in the buffer pool; or, disk writes due to flushing can saturate your I/O capacity if that mechanism is too aggressive. The ideal settings depend on your workload, data access patterns, and storage configuration (for example, whether data is stored on HDD or SSD devices).
For systems with constant heavy
workloads, or workloads
that fluctuate widely, several configuration options let you
fine-tune the flushing
behavior for InnoDB
tables:
These options feed into the formula used by the
innodb_adaptive_flushing
option.
The innodb_adaptive_flushing
,
innodb_io_capacity
and
innodb_max_dirty_pages_pct
options are limited or extended by the following options:
The InnoDB
adaptive flushing
mechanism is not appropriate in all cases. It gives the most
benefit when the redo log
is in danger of filling up. The
innodb_adaptive_flushing_lwm
option specifies a “low water mark” percentage of
redo log capacity; when that threshold is crossed,
InnoDB
turns on adaptive flushing even if not
specified by the
innodb_adaptive_flushing
option.
If flushing activity falls far behind, InnoDB
can flush more aggressively than specified by
innodb_io_capacity
.
innodb_io_capacity_max
represents an upper limit on the I/O capacity used in such
emergency situations, so that the spike in I/O does not consume
all the capacity of the server.
InnoDB
tries to flush data from the buffer
pool so that the percentage of dirty pages does not exceed the
value of
innodb_max_dirty_pages_pct
. The
default value for
innodb_max_dirty_pages_pct
is
75.
The
innodb_max_dirty_pages_pct
setting establishes a target for flushing activity. It does
not affect the rate of flushing. For information about
managing the rate of flushing, see
Section 15.8.3.5, “Configuring InnoDB Buffer Pool Flushing”.
The
innodb_max_dirty_pages_pct_lwm
option specifies a “low water mark” value that
represents the percentage of dirty pages where pre-flushing is
enabled to control the dirty page ratio and ideally prevent the
percentage of dirty pages from reaching
innodb_max_dirty_pages_pct
. A
value of
innodb_max_dirty_pages_pct_lwm=0
disables the “pre-flushing” behavior.
Most of the options referenced above are most applicable to servers that run write-heavy workloads for long periods of time and have little reduced load time to catch up with changes waiting to be written to disk.
innodb_flushing_avg_loops
defines the number of iterations for which
InnoDB
keeps the previously calculated
snapshot of the flushing state, which controls how quickly
adaptive flushing responds to foreground load changes. Setting a
high value for
innodb_flushing_avg_loops
means
that InnoDB
keeps the previously calculated
snapshot longer, so adaptive flushing responds more slowly. A
high value also reduces positive feedback between foreground and
background work, but when setting a high value it is important
to ensure that InnoDB
redo log utilization
does not reach 75% (the hardcoded limit at which async flushing
starts) and that the
innodb_max_dirty_pages_pct
setting keeps the number of dirty pages to a level that is
appropriate for the workload.
Systems with consistent workloads, a large
innodb_log_file_size
, and small
spikes that do not reach 75% redo log space utilization should
use a high
innodb_flushing_avg_loops
value
to keep flushing as smooth as possible. For systems with extreme
load spikes or log files that do not provide a lot of space,
consider a smaller
innodb_flushing_avg_loops
value. A smaller value allows flushing to closely track the load
and helps avoid reaching 75% redo log space utilization.
To reduce the warmup period
after restarting the server, InnoDB
saves a
percentage of the most recently used pages for each buffer pool
at server shutdown and restores these pages at server startup.
The percentage of recently used pages that is stored is defined
by the
innodb_buffer_pool_dump_pct
configuration option.
After restarting a busy server, there is typically a warmup period with steadily increasing throughput, as disk pages that were in the buffer pool are brought back into memory (as the same data is queried, updated, and so on). The ability to restore the buffer pool at startup shortens the warmup period by reloading disk pages that were in the buffer pool before the restart rather than waiting for DML operations to access corresponding rows. Also, I/O requests can be performed in large batches, making the overall I/O faster. Page loading happens in the background, and does not delay database startup.
In addition to saving the buffer pool state at shutdown and restoring it at startup, you can save and restore the buffer pool state at any time, while the server is running. For example, you can save the state of the buffer pool after reaching a stable throughput under a steady workload. You could also restore the previous buffer pool state after running reports or maintenance jobs that bring data pages into the buffer pool that are only requited for those operations, or after running some other non-typical workload.
Even though a buffer pool can be many gigabytes in size, the
buffer pool data that InnoDB
saves to disk is
tiny by comparison. Only tablespace IDs and page IDs necessary
to locate the appropriate pages are saved to disk. This
information is derived from the
INNODB_BUFFER_PAGE_LRU
INFORMATION_SCHEMA
table. By default,
tablespace ID and page ID data is saved in a file named
ib_buffer_pool
, which is saved to the
InnoDB
data directory. The file name and
location can be modified using the
innodb_buffer_pool_filename
configuration parameter.
Because data is cached in and aged out of the buffer pool as it is with regular database operations, there is no problem if the disk pages are recently updated, or if a DML operation involves data that has not yet been loaded. The loading mechanism skips requested pages that no longer exist.
The underlying mechanism involves a background thread that is dispatched to perform the dump and load operations.
Disk pages from compressed tables are loaded into the buffer pool in their compressed form. Pages are uncompressed as usual when page contents are accessed during DML operations. Because uncompressing pages is a CPU-intensive process, it is more efficient for concurrency to perform the operation in a connection thread rather than in the single thread that performs the buffer pool restore operation.
Operations related to saving and restoring the buffer pool state are described in the following topics:
Before dumping pages from the buffer pool, you can configure
the percentage of most-recently-used buffer pool pages that
you want to dump by setting the
innodb_buffer_pool_dump_pct
option. If you plan to dump buffer pool pages while the server
is running, you can configure the option dynamically:
SET GLOBAL innodb_buffer_pool_dump_pct=40;
If you plan to dump buffer pool pages at server shutdown, set
innodb_buffer_pool_dump_pct
in your configuration file.
[mysqld] innodb_buffer_pool_dump_pct=40
The
innodb_buffer_pool_dump_pct
default value is 25 (dump 25% of most-recently-used pages).
To save the state of the buffer pool at server shutdown, issue the following statement prior to shutting down the server:
SET GLOBAL innodb_buffer_pool_dump_at_shutdown=ON;
innodb_buffer_pool_dump_at_shutdown
is enabled by default.
To restore the buffer pool state at server startup, specify
the --innodb-buffer-pool-load-at-startup
option when starting the server:
mysqld --innodb-buffer-pool-load-at-startup=ON;
innodb_buffer_pool_load_at_startup
is enabled by default.
To save the state of the buffer pool while MySQL server is running, issue the following statement:
SET GLOBAL innodb_buffer_pool_dump_now=ON;
To restore the buffer pool state while MySQL is running, issue the following statement:
SET GLOBAL innodb_buffer_pool_load_now=ON;
To display progress when saving the buffer pool state to disk, issue the following statement:
SHOW STATUS LIKE 'Innodb_buffer_pool_dump_status';
If the operation has not yet started, “not started” is returned. If the operation is complete, the completion time is printed (e.g. Finished at 110505 12:18:02). If the operation is in progress, status information is provided (e.g. Dumping buffer pool 5/7, page 237/2873).
To display progress when loading the buffer pool, issue the following statement:
SHOW STATUS LIKE 'Innodb_buffer_pool_load_status';
If the operation has not yet started, “not started” is returned. If the operation is complete, the completion time is printed (e.g. Finished at 110505 12:23:24). If the operation is in progress, status information is provided (e.g. Loaded 123/22301 pages).
To abort a buffer pool load operation, issue the following statement:
SET GLOBAL innodb_buffer_pool_load_abort=ON;
You can monitor buffer pool load progress using Performance Schema.
The following example demonstrates how to enable the
stage/innodb/buffer pool load
stage event
instrument and related consumer tables to monitor buffer pool
load progress.
For information about buffer pool dump and load procedures used in this example, see Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”. For information about Performance Schema stage event instruments and related consumers, see Section 26.12.5, “Performance Schema Stage Event Tables”.
Enable the stage/innodb/buffer pool
load
instrument:
mysql>UPDATE performance_schema.setup_instruments SET ENABLED = 'YES'
WHERE NAME LIKE 'stage/innodb/buffer%';
Enable the stage event consumer tables, which include
events_stages_current
,
events_stages_history
, and
events_stages_history_long
.
mysql>UPDATE performance_schema.setup_consumers SET ENABLED = 'YES'
WHERE NAME LIKE '%stages%';
Dump the current buffer pool state by enabling
innodb_buffer_pool_dump_now
.
mysql> SET GLOBAL innodb_buffer_pool_dump_now=ON;
Check the buffer pool dump status to ensure that the operation has completed.
mysql> SHOW STATUS LIKE 'Innodb_buffer_pool_dump_status'\G
*************************** 1. row ***************************
Variable_name: Innodb_buffer_pool_dump_status
Value: Buffer pool(s) dump completed at 150202 16:38:58
Load the buffer pool by enabling
innodb_buffer_pool_load_now
:
mysql> SET GLOBAL innodb_buffer_pool_load_now=ON;
Check the current status of the buffer pool load operation
by querying the Performance Schema
events_stages_current
table.
The WORK_COMPLETED
column shows the
number of buffer pool pages loaded. The
WORK_ESTIMATED
column provides an
estimate of the remaining work, in pages.
mysql>SELECT EVENT_NAME, WORK_COMPLETED, WORK_ESTIMATED
FROM performance_schema.events_stages_current;
+-------------------------------+----------------+----------------+ | EVENT_NAME | WORK_COMPLETED | WORK_ESTIMATED | +-------------------------------+----------------+----------------+ | stage/innodb/buffer pool load | 5353 | 7167 | +-------------------------------+----------------+----------------+
The events_stages_current
table returns an empty set if the buffer pool load
operation has completed. In this case, you can check the
events_stages_history
table
to view data for the completed event. For example:
mysql>SELECT EVENT_NAME, WORK_COMPLETED, WORK_ESTIMATED
FROM performance_schema.events_stages_history;
+-------------------------------+----------------+----------------+ | EVENT_NAME | WORK_COMPLETED | WORK_ESTIMATED | +-------------------------------+----------------+----------------+ | stage/innodb/buffer pool load | 7167 | 7167 | +-------------------------------+----------------+----------------+
You can also monitor buffer pool load progress using
Performance Schema when loading the buffer pool at startup
using
innodb_buffer_pool_load_at_startup
.
In this case, the stage/innodb/buffer pool
load
instrument and related consumers must be
enabled at startup. For more information, see
Section 26.3, “Performance Schema Startup Configuration”.
A core file records the status and memory image of a running process. Because the buffer pool resides in main memory, and the memory image of a running process is dumped to the core file, systems with large buffer pools can produce large core files when the mysqld process dies.
Large core files can be problematic for a number of reasons including the time it takes to write them, the amount of disk space they consume, and the challenges associated with transferring large files.
To reduce core file size, you can disable the
innodb_buffer_pool_in_core_file
variable to omit buffer pool pages from core dumps. The
innodb_buffer_pool_in_core_file
variable was introduced in MySQL 8.0.14 and is enabled by
default.
Excluding buffer pool pages may also be desirable from a security perspective if you have concerns about dumping database pages to core files that may be shared inside or outside of your organization for debugging purposes.
Access to the data present in buffer pool pages at the time the mysqld process died may be beneficial in some debugging scenarios. If in doubt whether to include or exclude buffer pool pages, consult MySQL Support.
Disabling
innodb_buffer_pool_in_core_file
takes effect only if the
core_file
variable is enabled
and the operating system supports the
MADV_DONTDUMP
non-POSIX extension to the
madvise()
system call, which is supported in Linux 3.4 and later. The
MADV_DONTDUMP
extension causes pages in a
specified range to be excluded from core dumps.
Assuming the operating system supports the
MADV_DONTDUMP
extension, start the server
with the --core-file
and
--innodb-buffer-pool-in-core-file=OFF
options to generate core files without buffer pool pages.
shell> mysqld --core-file --innodb-buffer-pool-in-core-file=OFF
The core_file
variable is read
only and disabled by default. It is enabled by specifying the
--core-file
option at startup.
The
innodb_buffer_pool_in_core_file
variable is dynamic. It can be specified at startup or
configured at runtime using a
SET
statement.
mysql> SET GLOBAL innodb_buffer_pool_in_core_file=OFF;
If the
innodb_buffer_pool_in_core_file
variable is disabled but MADV_DONTDUMP
is not
supported by the operating system, or an
madvise()
failure occurs, a warning is
written to the MySQL server error log and the
core_file
variable is disabled
to prevent writing core files that unintentionally include
buffer pool pages. If the read-only
core_file
variable becomes
disabled, the server must be restarted to enable it again.
The following table shows configuration and
MADV_DONTDUMP
support scenarios that
determine whether core files are generated and whether they
include buffer pool pages.
Table 15.5 Core File Configuration Scenarios
core_file variable |
innodb_buffer_pool_in_core_file
variable |
madvise() MADV_DONTDUMP Support | Outcome |
---|---|---|---|
OFF (default) | Not relevant to outcome | Not relevant to outcome | Core file is not generated |
ON | ON (default) | Not relevant to outcome | Core file is generated with buffer pool pages |
ON | OFF | Yes | Core file is generated without buffer pool pages |
ON | OFF | No | Core file is not generated, core_file
is disabled, and a warning is written to the server error
log |
The reduction in core file size achieved by disabling the
innodb_buffer_pool_in_core_file
variable depends on the size of the buffer pool, but it is also
affected by the InnoDB
page size. A smaller
page size means more pages are required for the same amount of
data, and more pages means more page metadata. The following
table provides size reduction examples that you might see for a
1GB buffer pool with different pages sizes.
Table 15.6 Core File Size with Buffer Pool Pages Included and Excluded
innodb_page_size Setting |
Buffer Pool Pages Included
(innodb_buffer_pool_in_core_file=ON ) |
Buffer Pool Pages Excluded
(innodb_buffer_pool_in_core_file=OFF ) |
---|---|---|
4KB | 2.1GB | 0.9GB |
64KB | 1.7GB | 0.7GB |
InnoDB
uses operating system
threads to process requests
from user transactions. (Transactions may issue many requests to
InnoDB
before they commit or roll back.) On
modern operating systems and servers with multi-core processors,
where context switching is efficient, most workloads run well
without any limit on the number of concurrent threads.
In situations where it is helpful to minimize context switching
between threads, InnoDB
can use a number of
techniques to limit the number of concurrently executing operating
system threads (and thus the number of requests that are processed
at any one time). When InnoDB
receives a new
request from a user session, if the number of threads concurrently
executing is at a pre-defined limit, the new request sleeps for a
short time before it tries again. A request that cannot be
rescheduled after the sleep is put in a first-in/first-out queue
and eventually is processed. Threads waiting for locks are not
counted in the number of concurrently executing threads.
You can limit the number of concurrent threads by setting the
configuration parameter
innodb_thread_concurrency
. Once
the number of executing threads reaches this limit, additional
threads sleep for a number of microseconds, set by the
configuration parameter
innodb_thread_sleep_delay
, before
being placed into the queue.
You can set the configuration option
innodb_adaptive_max_sleep_delay
to the highest value you would allow for
innodb_thread_sleep_delay
, and
InnoDB
automatically adjusts
innodb_thread_sleep_delay
up or
down depending on the current thread-scheduling activity. This
dynamic adjustment helps the thread scheduling mechanism to work
smoothly during times when the system is lightly loaded and when
it is operating near full capacity.
The default value for
innodb_thread_concurrency
and the
implied default limit on the number of concurrent threads has been
changed in various releases of MySQL and
InnoDB
. The default value of
innodb_thread_concurrency
is
0
, so that by default there is no limit on the
number of concurrently executing threads.
InnoDB
causes threads to sleep only when the
number of concurrent threads is limited. When there is no limit on
the number of threads, all contend equally to be scheduled. That
is, if innodb_thread_concurrency
is 0
, the value of
innodb_thread_sleep_delay
is
ignored.
When there is a limit on the number of threads (when
innodb_thread_concurrency
is >
0), InnoDB
reduces context switching overhead
by permitting multiple requests made during the execution of a
single SQL statement to enter
InnoDB
without observing the limit set by
innodb_thread_concurrency
. Since
an SQL statement (such as a join) may comprise multiple row
operations within InnoDB
,
InnoDB
assigns a specified number of
“tickets” that allow a thread to be scheduled
repeatedly with minimal overhead.
When a new SQL statement starts, a thread has no tickets, and it
must observe
innodb_thread_concurrency
. Once
the thread is entitled to enter InnoDB
, it is
assigned a number of tickets that it can use for subsequently
entering InnoDB
to perform row operations. If
the tickets run out, the thread is evicted, and
innodb_thread_concurrency
is
observed again which may place the thread back into the
first-in/first-out queue of waiting threads. When the thread is
once again entitled to enter InnoDB
, tickets
are assigned again. The number of tickets assigned is specified by
the global option
innodb_concurrency_tickets
, which
is 5000 by default. A thread that is waiting for a lock is given
one ticket once the lock becomes available.
The correct values of these variables depend on your environment
and workload. Try a range of different values to determine what
value works for your applications. Before limiting the number of
concurrently executing threads, review configuration options that
may improve the performance of InnoDB
on
multi-core and multi-processor computers, such as
innodb_adaptive_hash_index
.
For general performance information about MySQL thread handling, see Section 8.12.4.1, “How MySQL Handles Client Connections”.
InnoDB
uses background
threads to service various
types of I/O requests. You can configure the number of background
threads that service read and write I/O on data pages using the
innodb_read_io_threads
and
innodb_write_io_threads
configuration parameters. These parameters signify the number of
background threads used for read and write requests, respectively.
They are effective on all supported platforms. You can set values
for these parameters in the MySQL option file
(my.cnf
or my.ini
); you
cannot change values dynamically. The default value for these
parameters is 4
and permissible values range
from 1-64
.
The purpose of these configuration options to make
InnoDB
more scalable on high end systems. Each
background thread can handle up to 256 pending I/O requests. A
major source of background I/O is
read-ahead requests.
InnoDB
tries to balance the load of incoming
requests in such way that most background threads share work
equally. InnoDB
also attempts to allocate read
requests from the same extent to the same thread, to increase the
chances of coalescing the requests. If you have a high end I/O
subsystem and you see more than 64 ×
innodb_read_io_threads
pending
read requests in SHOW ENGINE INNODB STATUS
output, you might improve performance by increasing the value of
innodb_read_io_threads
.
On Linux systems, InnoDB
uses the asynchronous
I/O subsystem by default to perform read-ahead and write requests
for data file pages, which changes the way that
InnoDB
background threads service these types
of I/O requests. For more information, see
Section 15.8.6, “Using Asynchronous I/O on Linux”.
For more information about InnoDB
I/O
performance, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
InnoDB
uses the asynchronous I/O subsystem
(native AIO) on Linux to perform read-ahead and write requests for
data file pages. This behavior is controlled by the
innodb_use_native_aio
configuration option, which applies to Linux systems only and is
enabled by default. On other Unix-like systems,
InnoDB
uses synchronous I/O only. Historically,
InnoDB
only used asynchronous I/O on Windows
systems. Using the asynchronous I/O subsystem on Linux requires
the libaio
library.
With synchronous I/O, query threads queue I/O requests, and
InnoDB
background threads retrieve the queued
requests one at a time, issuing a synchronous I/O call for each.
When an I/O request is completed and the I/O call returns, the
InnoDB
background thread that is handling the
request calls an I/O completion routine and returns to process the
next request. The number of requests that can be processed in
parallel is n
, where
n
is the number of
InnoDB
background threads. The number of
InnoDB
background threads is controlled by
innodb_read_io_threads
and
innodb_write_io_threads
. See
Section 15.8.5, “Configuring the Number of Background InnoDB I/O Threads”.
With native AIO, query threads dispatch I/O requests directly to
the operating system, thereby removing the limit imposed by the
number of background threads. InnoDB
background
threads wait for I/O events to signal completed requests. When a
request is completed, a background thread calls an I/O completion
routine and resumes waiting for I/O events.
The advantage of native AIO is scalability for heavily I/O-bound
systems that typically show many pending reads/writes in
SHOW ENGINE INNODB STATUS\G
output. The
increase in parallel processing when using native AIO means that
the type of I/O scheduler or properties of the disk array
controller have a greater influence on I/O performance.
A potential disadvantage of native AIO for heavily I/O-bound systems is lack of control over the number of I/O write requests dispatched to the operating system at once. Too many I/O write requests dispatched to the operating system for parallel processing could, in some cases, result in I/O read starvation, depending on the amount of I/O activity and system capabilities.
If a problem with the asynchronous I/O subsystem in the OS
prevents InnoDB
from starting, you can start
the server with
innodb_use_native_aio=0
. This
option may also be disabled automatically during startup if
InnoDB
detects a potential problem such as a
combination of tmpdir
location,
tmpfs
file system, and Linux kernel that does
not support asynchronous I/O on tmpfs
.
The master thread in InnoDB is a thread that performs various tasks in the background. Most of these tasks are I/O related, such as flushing dirty pages from the buffer pool or writing changes from the insert buffer to the appropriate secondary indexes. The master thread attempts to perform these tasks in a way that does not adversely affect the normal working of the server. It tries to estimate the free I/O bandwidth available and tune its activities to take advantage of this free capacity. Historically, InnoDB has used a hard coded value of 100 IOPs (input/output operations per second) as the total I/O capacity of the server.
The parameter innodb_io_capacity
indicates the overall I/O capacity available to InnoDB. This
parameter should be set to approximately the number of I/O
operations that the system can perform per second. The value
depends on your system configuration. When
innodb_io_capacity
is set, the
master threads estimates the I/O bandwidth available for
background tasks based on the set value. Setting the value to
100
reverts to the old behavior.
You can set the value of
innodb_io_capacity
to any number
100 or greater. The default value is 200
,
reflecting that the performance of typical modern I/O devices is
higher than in the early days of MySQL. Typically, values around
the previous default of 100 are appropriate for consumer-level
storage devices, such as hard drives up to 7200 RPMs. Faster hard
drives, RAID configurations, and SSDs benefit from higher values.
The innodb_io_capacity
setting is
a total limit for all buffer pool instances. When dirty pages are
flushed, the innodb_io_capacity
limit is divided equally among buffer pool instances. For more
information, see the
innodb_io_capacity
system
variable description.
You can set the value of this parameter in the MySQL option file
(my.cnf
or my.ini
) or change
it dynamically with the
SET GLOBAL
statement, which requires privileges sufficient to set global
system variables. See
Section 5.1.9.1, “System Variable Privileges”.
The innodb_flush_sync
configuration option causes the
innodb_io_capacity
setting to be
ignored during bursts of I/O activity that occur at checkpoints.
innodb_flush_sync
is enabled by
default.
In earlier MySQL releases, the InnoDB
master
thread also performed any needed
purge operations. Those I/O
operations are now performed by other background threads, whose
number is controlled by the
innodb_purge_threads
configuration option.
For more information about InnoDB I/O performance, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
InnoDB
mutexes and
rw-locks are typically
reserved for short intervals. On a multi-core system, it can be
more efficient for a thread to continuously check if it can
acquire a mutex or rw-lock for a period of time before it sleeps.
If the mutex or rw-lock becomes available during this period, the
thread can continue immediately, in the same time slice. However,
too-frequent polling of a shared object such as a mutex or rw-lock
by multiple threads can cause “cache ping pong”,
which results in processors invalidating portions of each
other's cache. InnoDB
minimizes this issue
by forcing a random delay between polls to desychronize polling
activity. The random delay is implemented as a spin-wait loop.
The duration of a spin-wait loop is determined by the number of
PAUSE instructions that occur in the loop. That number is
generated by randomly selecting an integer ranging from 0 up to
but not including the
innodb_spin_wait_delay
value, and
multiplying that value by 50. (The multiplier value, 50, is
hardcoded before MySQL 8.0.16, and configurable thereafter.) For
example, an integer is randomly selected from the following range
for an innodb_spin_wait_delay
setting of 6:
{0,1,2,3,4,5}
The selected integer is multiplied by 50, resulting in one of six possible PAUSE instruction values:
{0,50,100,150,200,250}
For that set of values, 250 is the maximum number of PAUSE
instructions that can occur in a spin-wait loop. An
innodb_spin_wait_delay
setting of
5 results in a set of five possible values
{0,50,100,150,200}
, where 200 is the maximum
number of PAUSE instructions, and so on. In this way, the
innodb_spin_wait_delay
setting
controls the maximum delay between spin lock polls.
On a system where all processor cores share a fast cache memory,
you might reduce the maximum delay or disable the busy loop
altogether by setting
innodb_spin_wait_delay=0
. On a
system with multiple processor chips, the effect of cache
invalidation can be more significant and you might increase the
maximum delay.
In the 100MHz Pentium era, an
innodb_spin_wait_delay
unit was
calibrated to be equivalent to one microsecond. That time
equivalence did not hold, but PAUSE instruction duration remained
fairly constant in terms of processor cycles relative to other CPU
instructions until the introduction of the Skylake generation of
processors, which have a comparatively longer PAUSE instruction.
The
innodb_spin_wait_pause_multiplier
variable was introduced in MySQL 8.0.16 to provide a way to
account for differences in PAUSE instruction duration.
The
innodb_spin_wait_pause_multiplier
variable controls the size of PAUSE instruction values. For
example, assuming an
innodb_spin_wait_delay
setting of
6, decreasing the
innodb_spin_wait_pause_multiplier
value from 50 (the default and previously hardcoded value) to 5
generates a set of smaller PAUSE instruction values:
{0,5,10,15,20,25}
The ability to increase or decrease PAUSE instruction values
permits fine tuning InnoDB
for different
processor architectures. Smaller PAUSE instruction values would be
appropriate for processor architectures with a comparatively
longer PAUSE instruction, for example.
The innodb_spin_wait_delay
and
innodb_spin_wait_pause_multiplier
variables are dynamic. They can be specified in a MySQL option
file or modified at runtime using a
SET GLOBAL
statement. Modifying the variables at runtime requires privileges
sufficient to set global system variables. See
Section 5.1.9.1, “System Variable Privileges”.
The purge operations (a type of garbage collection) that InnoDB performs automatically may be performed by one or more separate threads rather than as part of the master thread. The use of separate threads improves scalability by allowing the main database operations to run independently from maintenance work happening in the background.
To control this feature, increase the value of the configuration
option innodb_purge_threads
. If
DML action is concentrated on a single table or a few tables, keep
the setting low so that the threads do not contend with each other
for access to the busy tables. If DML operations are spread across
many tables, increase the setting. Its maximum is 32.
innodb_purge_threads
is a
non-dynamic configuration option, which means it cannot be
configured at runtime.
There is another related configuration option,
innodb_purge_batch_size
with a
default value of 300 and maximum value of 5000. This option is
mainly intended for experimentation and tuning of purge
operations, and should not be interesting to typical users.
For more information about InnoDB I/O performance, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
This section describes how to configure persistent and
non-persistent optimizer statistics for InnoDB
tables.
Persistent optimizer statistics are persisted across server restarts, allowing for greater plan stability and more consistent query performance. Persistent optimizer statistics also provide control and flexibility with these additional benefits:
You can use the
innodb_stats_auto_recalc
configuration option to control whether statistics are updated
automatically after substantial changes to a table.
You can use the STATS_PERSISTENT
,
STATS_AUTO_RECALC
, and
STATS_SAMPLE_PAGES
clauses with
CREATE TABLE
and
ALTER TABLE
statements to
configure optimizer statistics for individual tables.
You can query optimizer statistics data in the
mysql.innodb_table_stats
and
mysql.innodb_index_stats
tables.
You can view the last_update
column of the
mysql.innodb_table_stats
and
mysql.innodb_index_stats
tables to see when
statistics were last updated.
You can manually modify the
mysql.innodb_table_stats
and
mysql.innodb_index_stats
tables to force a
specific query optimization plan or to test alternative plans
without modifying the database.
The persistent optimizer statistics feature is enabled by default
(innodb_stats_persistent=ON
).
Non-persistent optimizer statistics are cleared on each server restart and after some other operations, and recomputed on the next table access. As a result, different estimates could be produced when recomputing statistics, leading to different choices in execution plans and variations in query performance.
This section also provides information about estimating
ANALYZE TABLE
complexity, which may
be useful when attempting to achieve a balance between accurate
statistics and ANALYZE TABLE
execution time.
The persistent optimizer statistics feature improves plan stability by storing statistics to disk and making them persistent across server restarts so that the optimizer is more likely to make consistent choices each time for a given query.
Optimizer statistics are persisted to disk when
innodb_stats_persistent=ON
or
when individual tables are created or altered with
STATS_PERSISTENT=1
.
innodb_stats_persistent
is
enabled by default.
Formerly, optimizer statistics were cleared on each server restart and after some other operations, and recomputed on the next table access. Consequently, different estimates could be produced when recalculating statistics, leading to different choices in query execution plans and thus variations in query performance.
Persistent statistics are stored in the
mysql.innodb_table_stats
and
mysql.innodb_index_stats
tables, as described
in Section 15.8.10.1.5, “InnoDB Persistent Statistics Tables”.
To revert to using non-persistent optimizer statistics, you can
modify tables using an ALTER TABLE
statement. For related information, see
Section 15.8.10.2, “Configuring Non-Persistent Optimizer Statistics Parameters”
tbl_name
STATS_PERSISTENT=0
The innodb_stats_auto_recalc
configuration option, which is enabled by default, determines
whether statistics are calculated automatically whenever a
table undergoes substantial changes (to more than 10% of the
rows). You can also configure automatic statistics
recalculation for individual tables using a
STATS_AUTO_RECALC
clause in a
CREATE TABLE
or
ALTER TABLE
statement.
innodb_stats_auto_recalc
is
enabled by default.
Because of the asynchronous nature of automatic statistics
recalculation (which occurs in the background), statistics may
not be recalculated instantly after running a DML operation
that affects more than 10% of a table, even when
innodb_stats_auto_recalc
is
enabled. In some cases, statistics recalculation may be
delayed by a few seconds. If up-to-date statistics are
required immediately after changing significant portions of a
table, run ANALYZE TABLE
to
initiate a synchronous (foreground) recalculation of
statistics.
If innodb_stats_auto_recalc
is disabled, ensure the accuracy of optimizer statistics by
issuing the ANALYZE TABLE
statement for each applicable table after making substantial
changes to indexed columns. You might run this statement in
your setup scripts after representative data has been loaded
into the table, and run it periodically after DML operations
significantly change the contents of indexed columns, or on a
schedule at times of low activity. When a new index is added
to an existing table, or a column is added or dropped, index
statistics are calculated and added to the
innodb_index_stats
table regardless of the
value of
innodb_stats_auto_recalc
.
To ensure statistics are gathered when a new index is
created, either enable the
innodb_stats_auto_recalc
option, or run ANALYZE TABLE
after creating each new index when the persistent statistics
mode is enabled.
innodb_stats_persistent
,
innodb_stats_auto_recalc
, and
innodb_stats_persistent_sample_pages
are global configuration options. To override these
system-wide settings and configure optimizer statistics
parameters for individual tables, you can define
STATS_PERSISTENT
,
STATS_AUTO_RECALC
, and
STATS_SAMPLE_PAGES
clauses in
CREATE TABLE
or
ALTER TABLE
statements.
STATS_PERSISTENT
specifies whether to
enable
persistent
statistics for an InnoDB
table.
The value DEFAULT
causes the persistent
statistics setting for the table to be determined by the
innodb_stats_persistent
configuration option. The value 1
enables persistent statistics for the table, while the
value 0
turns off this feature. After
enabling persistent statistics through a CREATE
TABLE
or ALTER TABLE
statement, issue an ANALYZE
TABLE
statement to calculate the statistics,
after loading representative data into the table.
STATS_AUTO_RECALC
specifies whether to
automatically recalculate
persistent
statistics for an InnoDB
table.
The value DEFAULT
causes the persistent
statistics setting for the table to be determined by the
innodb_stats_auto_recalc
configuration option. The value 1
causes statistics to be recalculated when 10% of the data
in the table has changed. The value 0
prevents automatic recalculation for this table; with this
setting, issue an ANALYZE
TABLE
statement to recalculate the statistics
after making substantial changes to the table.
STATS_SAMPLE_PAGES
specifies the number
of index pages to sample when estimating cardinality and
other statistics for an indexed column, such as those
calculated by ANALYZE
TABLE
.
All three clauses are specified in the following
CREATE TABLE
example:
CREATE TABLE `t1` ( `id` int(8) NOT NULL auto_increment, `data` varchar(255), `date` datetime, PRIMARY KEY (`id`), INDEX `DATE_IX` (`date`) ) ENGINE=InnoDB, STATS_PERSISTENT=1, STATS_AUTO_RECALC=1, STATS_SAMPLE_PAGES=25;
The MySQL query optimizer uses estimated
statistics about key
distributions to choose the indexes for an execution plan,
based on the relative
selectivity of the
index. Operations such as ANALYZE
TABLE
cause InnoDB
to sample
random pages from each index on a table to estimate the
cardinality of the
index. (This technique is known as
random dives.)
To give you control over the quality of the statistics
estimate (and thus better information for the query
optimizer), you can change the number of sampled pages using
the parameter
innodb_stats_persistent_sample_pages
,
which can be set at runtime.
innodb_stats_persistent_sample_pages
has a default value of 20. As a general guideline, consider
modifying this parameter when encountering the following
issues:
Statistics are not accurate enough and the
optimizer chooses suboptimal plans, as shown by
EXPLAIN
output. The
accuracy of statistics can be checked by comparing the
actual cardinality of an index (as returned by running
SELECT
DISTINCT
on the index columns) with the
estimates provided in the
mysql.innodb_index_stats
persistent
statistics table.
If it is determined that statistics are not accurate
enough, the value of
innodb_stats_persistent_sample_pages
should be increased until the statistics estimates are
sufficiently accurate. Increasing
innodb_stats_persistent_sample_pages
too much, however, could cause
ANALYZE TABLE
to run
slowly.
ANALYZE TABLE
is
too slow. In this case
innodb_stats_persistent_sample_pages
should be decreased until ANALYZE
TABLE
execution time is acceptable. Decreasing
the value too much, however, could lead to the first
problem of inaccurate statistics and suboptimal query
execution plans.
If a balance cannot be achieved between accurate
statistics and ANALYZE
TABLE
execution time, consider decreasing the
number of indexed columns in the table or limiting the
number of partitions to reduce
ANALYZE TABLE
complexity.
The number of columns in the table's primary key is also
important to consider, as primary key columns are appended
to each nonunique index.
For related information, see Section 15.8.10.3, “Estimating ANALYZE TABLE Complexity for InnoDB Tables”.
By default, InnoDB
reads uncommitted data
when calculating statistics. In the case of an uncommitted
transaction that deletes rows from a table,
InnoDB
excludes records that are
delete-marked when calculating row estimates and index
statistics, which can lead to non-optimal execution plans for
other transactions that are operating on the table
concurrently using a transaction isolation level other than
READ UNCOMMITTED
. To avoid
this scenario,
innodb_stats_include_delete_marked
can be enabled to ensure that InnoDB
includes delete-marked records when calculating persistent
optimizer statistics.
When
innodb_stats_include_delete_marked
is enabled, ANALYZE TABLE
considers delete-marked records when recalculating statistics.
innodb_stats_include_delete_marked
is a global setting that affects all InnoDB
tables, and it is only applicable to persistent optimizer
statistics.
The persistent statistics feature relies on the internally
managed tables in the mysql
database, named
innodb_table_stats
and
innodb_index_stats
. These tables are set up
automatically in all install, upgrade, and build-from-source
procedures.
Table 15.7 Columns of innodb_table_stats
Column name | Description |
---|---|
database_name |
Database name |
table_name |
Table name, partition name, or subpartition name |
last_update |
A timestamp indicating the last time that InnoDB
updated this row |
n_rows |
The number of rows in the table |
clustered_index_size |
The size of the primary index, in pages |
sum_of_other_index_sizes |
The total size of other (non-primary) indexes, in pages |
Table 15.8 Columns of innodb_index_stats
Column name | Description |
---|---|
database_name |
Database name |
table_name |
Table name, partition name, or subpartition name |
index_name |
Index name |
last_update |
A timestamp indicating the last time that InnoDB
updated this row |
stat_name |
The name of the statistic, whose value is reported in the
stat_value column |
stat_value |
The value of the statistic that is named in stat_name
column |
sample_size |
The number of pages sampled for the estimate provided in the
stat_value column |
stat_description |
Description of the statistic that is named in the
stat_name column |
Both the innodb_table_stats
and
innodb_index_stats
tables include a
last_update
column showing when
InnoDB
last updated index statistics, as
shown in the following example:
mysql> SELECT * FROM innodb_table_stats \G
*************************** 1. row ***************************
database_name: sakila
table_name: actor
last_update: 2014-05-28 16:16:44
n_rows: 200
clustered_index_size: 1
sum_of_other_index_sizes: 1
...
mysql> SELECT * FROM innodb_index_stats \G
*************************** 1. row ***************************
database_name: sakila
table_name: actor
index_name: PRIMARY
last_update: 2014-05-28 16:16:44
stat_name: n_diff_pfx01
stat_value: 200
sample_size: 1
...
The innodb_table_stats
and
innodb_index_stats
tables are ordinary
tables and can be updated manually. The ability to update
statistics manually makes it possible to force a specific
query optimization plan or test alternative plans without
modifying the database. If you manually update statistics,
issue the FLUSH TABLE
command to make
MySQL reload the updated statistics.
tbl_name
Persistent statistics are considered local information,
because they relate to the server instance. The
innodb_table_stats
and
innodb_index_stats
tables are therefore not
replicated when automatic statistics recalculation takes
place. If you run ANALYZE TABLE
to initiate a synchronous recalculation of statistics, this
statement is replicated (unless you suppressed logging for
it), and recalculation takes place on the replication slaves.
The innodb_table_stats
table contains one
row per table. The data collected is demonstrated in the
following example.
Table t1
contains a primary index (columns
a
, b
) secondary index
(columns c
, d
), and
unique index (columns e
,
f
):
CREATE TABLE t1 ( a INT, b INT, c INT, d INT, e INT, f INT, PRIMARY KEY (a, b), KEY i1 (c, d), UNIQUE KEY i2uniq (e, f) ) ENGINE=INNODB;
After inserting five rows of sample data, the table appears as follows:
mysql> SELECT * FROM t1;
+---+---+------+------+------+------+
| a | b | c | d | e | f |
+---+---+------+------+------+------+
| 1 | 1 | 10 | 11 | 100 | 101 |
| 1 | 2 | 10 | 11 | 200 | 102 |
| 1 | 3 | 10 | 11 | 100 | 103 |
| 1 | 4 | 10 | 12 | 200 | 104 |
| 1 | 5 | 10 | 12 | 100 | 105 |
+---+---+------+------+------+------+
To immediately update statistics, run
ANALYZE TABLE
(if
innodb_stats_auto_recalc
is
enabled, statistics are updated automatically within a few
seconds assuming that the 10% threshold for changed table rows
is reached):
mysql> ANALYZE TABLE t1;
+---------+---------+----------+----------+
| Table | Op | Msg_type | Msg_text |
+---------+---------+----------+----------+
| test.t1 | analyze | status | OK |
+---------+---------+----------+----------+
Table statistics for table t1
show the last
time InnoDB
updated the table statistics
(2014-03-14 14:36:34
), the number of rows
in the table (5
), the clustered index size
(1
page), and the combined size of the
other indexes (2
pages).
mysql> SELECT * FROM mysql.innodb_table_stats WHERE table_name like 't1'\G
*************************** 1. row ***************************
database_name: test
table_name: t1
last_update: 2014-03-14 14:36:34
n_rows: 5
clustered_index_size: 1
sum_of_other_index_sizes: 2
The innodb_index_stats
table contains
multiple rows for each index. Each row in the
innodb_index_stats
table provides data
related to a particular index statistic which is named in the
stat_name
column and described in the
stat_description
column. For example:
mysql>SELECT index_name, stat_name, stat_value, stat_description
FROM mysql.innodb_index_stats WHERE table_name like 't1';
+------------+--------------+------------+-----------------------------------+ | index_name | stat_name | stat_value | stat_description | +------------+--------------+------------+-----------------------------------+ | PRIMARY | n_diff_pfx01 | 1 | a | | PRIMARY | n_diff_pfx02 | 5 | a,b | | PRIMARY | n_leaf_pages | 1 | Number of leaf pages in the index | | PRIMARY | size | 1 | Number of pages in the index | | i1 | n_diff_pfx01 | 1 | c | | i1 | n_diff_pfx02 | 2 | c,d | | i1 | n_diff_pfx03 | 2 | c,d,a | | i1 | n_diff_pfx04 | 5 | c,d,a,b | | i1 | n_leaf_pages | 1 | Number of leaf pages in the index | | i1 | size | 1 | Number of pages in the index | | i2uniq | n_diff_pfx01 | 2 | e | | i2uniq | n_diff_pfx02 | 5 | e,f | | i2uniq | n_leaf_pages | 1 | Number of leaf pages in the index | | i2uniq | size | 1 | Number of pages in the index | +------------+--------------+------------+-----------------------------------+
The stat_name
column shows the following
types of statistics:
size
: Where
stat_name
=size
, the
stat_value
column displays the total
number of pages in the index.
n_leaf_pages
: Where
stat_name
=n_leaf_pages
,
the stat_value
column displays the
number of leaf pages in the index.
n_diff_pfx
:
Where
NN
stat_name
=n_diff_pfx01
,
the stat_value
column displays the
number of distinct values in the first column of the
index. Where
stat_name
=n_diff_pfx02
,
the stat_value
column displays the
number of distinct values in the first two columns of the
index, and so on. Additionally, where
stat_name
=n_diff_pfx
,
the NN
stat_description
column shows a
comma separated list of the index columns that are
counted.
To further illustrate the
n_diff_pfx
statistic, which provides cardinality data, consider once
again the NN
t1
table example that was
introduced previously. As shown below, the
t1
table is created with a primary index
(columns a
, b
), a
secondary index (columns c
,
d
), and a unique index (columns
e
, f
):
CREATE TABLE t1 ( a INT, b INT, c INT, d INT, e INT, f INT, PRIMARY KEY (a, b), KEY i1 (c, d), UNIQUE KEY i2uniq (e, f) ) ENGINE=INNODB;
After inserting five rows of sample data, the table appears as follows:
mysql> SELECT * FROM t1;
+---+---+------+------+------+------+
| a | b | c | d | e | f |
+---+---+------+------+------+------+
| 1 | 1 | 10 | 11 | 100 | 101 |
| 1 | 2 | 10 | 11 | 200 | 102 |
| 1 | 3 | 10 | 11 | 100 | 103 |
| 1 | 4 | 10 | 12 | 200 | 104 |
| 1 | 5 | 10 | 12 | 100 | 105 |
+---+---+------+------+------+------+
When you query the index_name
,
stat_name
, stat_value
,
and stat_description
where
stat_name LIKE 'n_diff%'
, the following
result set is returned:
mysql>SELECT index_name, stat_name, stat_value, stat_description
FROM mysql.innodb_index_stats
WHERE table_name like 't1' AND stat_name LIKE 'n_diff%';
+------------+--------------+------------+------------------+ | index_name | stat_name | stat_value | stat_description | +------------+--------------+------------+------------------+ | PRIMARY | n_diff_pfx01 | 1 | a | | PRIMARY | n_diff_pfx02 | 5 | a,b | | i1 | n_diff_pfx01 | 1 | c | | i1 | n_diff_pfx02 | 2 | c,d | | i1 | n_diff_pfx03 | 2 | c,d,a | | i1 | n_diff_pfx04 | 5 | c,d,a,b | | i2uniq | n_diff_pfx01 | 2 | e | | i2uniq | n_diff_pfx02 | 5 | e,f | +------------+--------------+------------+------------------+
For the PRIMARY
index, there are two
n_diff%
rows. The number of rows is equal
to the number of columns in the index.
For nonunique indexes, InnoDB
appends the
columns of the primary key.
Where
index_name
=PRIMARY
and
stat_name
=n_diff_pfx01
,
the stat_value
is 1
,
which indicates that there is a single distinct value in
the first column of the index (column
a
). The number of distinct values in
column a
is confirmed by viewing the
data in column a
in table
t1
, in which there is a single distinct
value (1
). The counted column
(a
) is shown in the
stat_description
column of the result
set.
Where
index_name
=PRIMARY
and
stat_name
=n_diff_pfx02
,
the stat_value
is 5
,
which indicates that there are five distinct values in the
two columns of the index (a,b
). The
number of distinct values in columns a
and b
is confirmed by viewing the data
in columns a
and b
in table t1
, in which there are five
distinct values: (1,1
),
(1,2
), (1,3
),
(1,4
) and (1,5
). The
counted columns (a,b
) are shown in the
stat_description
column of the result
set.
For the secondary index (i1
), there are
four n_diff%
rows. Only two columns are
defined for the secondary index (c,d
) but
there are four n_diff%
rows for the
secondary index because InnoDB
suffixes all
nonunique indexes with the primary key. As a result, there are
four n_diff%
rows instead of two to account
for the both the secondary index columns
(c,d
) and the primary key columns
(a,b
).
Where index_name
=i1
and
stat_name
=n_diff_pfx01
,
the stat_value
is 1
,
which indicates that there is a single distinct value in
the first column of the index (column
c
). The number of distinct values in
column c
is confirmed by viewing the
data in column c
in table
t1
, in which there is a single distinct
value: (10
). The counted column
(c
) is shown in the
stat_description
column of the result
set.
Where index_name
=i1
and
stat_name
=n_diff_pfx02
,
the stat_value
is 2
,
which indicates that there are two distinct values in the
first two columns of the index (c,d
).
The number of distinct values in columns
c
an d
is confirmed
by viewing the data in columns c
and
d
in table t1
, in
which there are two distinct values:
(10,11
) and (10,12
).
The counted columns (c,d
) are shown in
the stat_description
column of the
result set.
Where index_name
=i1
and
stat_name
=n_diff_pfx03
,
the stat_value
is 2
,
which indicates that there are two distinct values in the
first three columns of the index
(c,d,a
). The number of distinct values
in columns c
, d
, and
a
is confirmed by viewing the data in
column c
, d
, and
a
in table t1
, in
which there are two distinct values:
(10,11,1
) and
(10,12,1
). The counted columns
(c,d,a
) are shown in the
stat_description
column of the result
set.
Where index_name
=i1
and
stat_name
=n_diff_pfx04
,
the stat_value
is 5
,
which indicates that there are five distinct values in the
four columns of the index (c,d,a,b
).
The number of distinct values in columns
c
, d
,
a
and b
is confirmed
by viewing the data in columns c
,
d
, a
, and
b
in table t1
, in
which there are five distinct values:
(10,11,1,1
),
(10,11,1,2
),
(10,11,1,3
),
(10,12,1,4
) and
(10,12,1,5
). The counted columns
(c,d,a,b
) are shown in the
stat_description
column of the result
set.
For the unique index (i2uniq
), there are
two n_diff%
rows.
Where
index_name
=i2uniq
and
stat_name
=n_diff_pfx01
,
the stat_value
is 2
,
which indicates that there are two distinct values in the
first column of the index (column e
).
The number of distinct values in column
e
is confirmed by viewing the data in
column e
in table
t1
, in which there are two distinct
values: (100
) and
(200
). The counted column
(e
) is shown in the
stat_description
column of the result
set.
Where
index_name
=i2uniq
and
stat_name
=n_diff_pfx02
,
the stat_value
is 5
,
which indicates that there are five distinct values in the
two columns of the index (e,f
). The
number of distinct values in columns e
and f
is confirmed by viewing the data
in columns e
and f
in table t1
, in which there are five
distinct values: (100,101
),
(200,102
),
(100,103
), (200,104
)
and (100,105
). The counted columns
(e,f
) are shown in the
stat_description
column of the result
set.
The size of indexes for tables, partitions, or subpartitions
can be retrieved using the
innodb_index_stats
table. In the following
example, index sizes are retrieved for table
t1
. For a definition of table
t1
and corresponding index statistics, see
Section 15.8.10.1.6, “InnoDB Persistent Statistics Tables Example”.
mysql>SELECT SUM(stat_value) pages, index_name,
SUM(stat_value)*@@innodb_page_size size
FROM mysql.innodb_index_stats WHERE table_name='t1'
AND stat_name = 'size' GROUP BY index_name;
+-------+------------+-------+ | pages | index_name | size | +-------+------------+-------+ | 1 | PRIMARY | 16384 | | 1 | i1 | 16384 | | 1 | i2uniq | 16384 | +-------+------------+-------+
For partitions or subpartitions, the same query with a
modified WHERE
clause can be used to
retrieve index sizes. For example, the following query
retrieves index sizes for partitions of table
t1
:
mysql>SELECT SUM(stat_value) pages, index_name,
SUM(stat_value)*@@innodb_page_size size
FROM mysql.innodb_index_stats WHERE table_name like 't1#P%'
AND stat_name = 'size' GROUP BY index_name;
This section describes how to configure non-persistent optimizer
statistics. Optimizer statistics are not persisted to disk when
innodb_stats_persistent=OFF
or
when individual tables are created or altered with
STATS_PERSISTENT=0
.
Instead, statistics are stored in memory, and are lost when the
server is shut down. Statistics are also updated periodically by
certain operations and under certain conditions.
Optimizer statistics are persisted to disk by default, enabled
by the innodb_stats_persistent
configuration option. For information about persistent optimizer
statistics, see Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”.
Non-persistent optimizer statistics are updated when:
Running ANALYZE TABLE
.
Running SHOW TABLE STATUS
,
SHOW INDEX
, or querying the
INFORMATION_SCHEMA.TABLES
or
INFORMATION_SCHEMA.STATISTICS
tables with the
innodb_stats_on_metadata
option enabled.
The default setting for
innodb_stats_on_metadata
is
OFF
. Enabling
innodb_stats_on_metadata
may reduce access speed for schemas that have a large number
of tables or indexes, and reduce stability of execution
plans for queries that involve InnoDB
tables.
innodb_stats_on_metadata
is
configured globally using a
SET
statement.
SET GLOBAL innodb_stats_on_metadata=ON
innodb_stats_on_metadata
only applies when optimizer
statistics are
configured to be non-persistent (when
innodb_stats_persistent
is disabled).
Starting a mysql client with the
--auto-rehash
option enabled,
which is the default. The
auto-rehash
option causes all
InnoDB
tables to be opened, and the open
table operations cause statistics to be recalculated.
To improve the start up time of the mysql
client and to updating statistics, you can turn off
auto-rehash
using the
--disable-auto-rehash
option. The auto-rehash
feature enables automatic name completion of database,
table, and column names for interactive users.
A table is first opened.
InnoDB
detects that 1 / 16 of table has
been modified since the last time statistics were updated.
The MySQL query optimizer uses estimated
statistics about key
distributions to choose the indexes for an execution plan, based
on the relative
selectivity of the
index. When InnoDB
updates optimizer
statistics, it samples random pages from each index on a table
to estimate the
cardinality of the
index. (This technique is known as
random dives.)
To give you control over the quality of the statistics estimate
(and thus better information for the query optimizer), you can
change the number of sampled pages using the parameter
innodb_stats_transient_sample_pages
.
The default number of sampled pages is 8, which could be
insufficient to produce an accurate estimate, leading to poor
index choices by the query optimizer. This technique is
especially important for large tables and tables used in
joins. Unnecessary
full table scans for
such tables can be a substantial performance issue. See
Section 8.2.1.21, “Avoiding Full Table Scans” for tips on tuning such
queries.
innodb_stats_transient_sample_pages
is a global parameter that can be set at runtime.
The value of
innodb_stats_transient_sample_pages
affects the index sampling for all InnoDB
tables and indexes when
innodb_stats_persistent=0
. Be
aware of the following potentially significant impacts when you
change the index sample size:
Small values like 1 or 2 can result in inaccurate estimates of cardinality.
Increasing the
innodb_stats_transient_sample_pages
value might require more disk reads. Values much larger
than 8 (say, 100), can cause a significant slowdown in the
time it takes to open a table or execute SHOW
TABLE STATUS
.
The optimizer might choose very different query plans based on different estimates of index selectivity.
Whatever value of
innodb_stats_transient_sample_pages
works best for a system, set the option and leave it at that
value. Choose a value that results in reasonably accurate
estimates for all tables in your database without requiring
excessive I/O. Because the statistics are automatically
recalculated at various times other than on execution of
ANALYZE TABLE
, it does not make
sense to increase the index sample size, run
ANALYZE TABLE
, then decrease
sample size again.
Smaller tables generally require fewer index samples than larger
tables. If your database has many large tables, consider using a
higher value for
innodb_stats_transient_sample_pages
than if you have mostly smaller tables.
ANALYZE TABLE
complexity for
InnoDB
tables is dependent on:
The number of pages sampled, as defined by
innodb_stats_persistent_sample_pages
.
The number of indexed columns in a table
The number of partitions. If a table has no partitions, the number of partitions is considered to be 1.
Using these parameters, an approximate formula for estimating
ANALYZE TABLE
complexity would
be:
The value of
innodb_stats_persistent_sample_pages
* number of indexed columns in a table * the number of
partitions
Typically, the greater the resulting value, the greater the
execution time for ANALYZE TABLE
.
innodb_stats_persistent_sample_pages
defines the number of pages sampled at a global level. To set
the number of pages sampled for an individual table, use the
STATS_SAMPLE_PAGES
option with
CREATE TABLE
or
ALTER TABLE
. For more
information, see Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”.
If
innodb_stats_persistent=OFF
,
the number of pages sampled is defined by
innodb_stats_transient_sample_pages
.
See Section 15.8.10.2, “Configuring Non-Persistent Optimizer Statistics Parameters” for
additional information.
For a more in-depth approach to estimating ANALYZE
TABLE
complexity, consider the following example.
In Big
O notation, ANALYZE TABLE
complexity is described as:
O(n_sample * (n_cols_in_uniq_i + n_cols_in_non_uniq_i + n_cols_in_pk * (1 + n_non_uniq_i)) * n_part)
where:
n_sample
is the number of pages sampled
(defined by
innodb_stats_persistent_sample_pages
)
n_cols_in_uniq_i
is total number of all
columns in all unique indexes (not counting the primary key
columns)
n_cols_in_non_uniq_i
is the total number
of all columns in all nonunique indexes
n_cols_in_pk
is the number of columns in
the primary key (if a primary key is not defined,
InnoDB
creates a single column primary
key internally)
n_non_uniq_i
is the number of nonunique
indexes in the table
n_part
is the number of partitions. If no
partitions are defined, the table is considered to be a
single partition.
Now, consider the following table (table t
),
which has a primary key (2 columns), a unique index (2 columns),
and two nonunique indexes (two columns each):
CREATE TABLE t ( a INT, b INT, c INT, d INT, e INT, f INT, g INT, h INT, PRIMARY KEY (a, b), UNIQUE KEY i1uniq (c, d), KEY i2nonuniq (e, f), KEY i3nonuniq (g, h) );
For the column and index data required by the algorithm
described above, query the
mysql.innodb_index_stats
persistent index
statistics table for table t
. The
n_diff_pfx%
statistics show the columns that
are counted for each index. For example, columns
a
and b
are counted for
the primary key index. For the nonunique indexes, the primary
key columns (a,b) are counted in addition to the user defined
columns.
For additional information about the InnoDB
persistent statistics tables, see
Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”
mysql>SELECT index_name, stat_name, stat_description
FROM mysql.innodb_index_stats WHERE
database_name='test' AND
table_name='t' AND
stat_name like 'n_diff_pfx%';
+------------+--------------+------------------+ | index_name | stat_name | stat_description | +------------+--------------+------------------+ | PRIMARY | n_diff_pfx01 | a | | PRIMARY | n_diff_pfx02 | a,b | | i1uniq | n_diff_pfx01 | c | | i1uniq | n_diff_pfx02 | c,d | | i2nonuniq | n_diff_pfx01 | e | | i2nonuniq | n_diff_pfx02 | e,f | | i2nonuniq | n_diff_pfx03 | e,f,a | | i2nonuniq | n_diff_pfx04 | e,f,a,b | | i3nonuniq | n_diff_pfx01 | g | | i3nonuniq | n_diff_pfx02 | g,h | | i3nonuniq | n_diff_pfx03 | g,h,a | | i3nonuniq | n_diff_pfx04 | g,h,a,b | +------------+--------------+------------------+
Based on the index statistics data shown above and the table definition, the following values can be determined:
n_cols_in_uniq_i
, the total number of all
columns in all unique indexes not counting the primary key
columns, is 2 (c
and
d
)
n_cols_in_non_uniq_i
, the total number of
all columns in all nonunique indexes, is 4
(e
, f
,
g
and h
)
n_cols_in_pk
, the number of columns in
the primary key, is 2 (a
and
b
)
n_non_uniq_i
, the number of nonunique
indexes in the table, is 2 (i2nonuniq
and
i3nonuniq
))
n_part
, the number of partitions, is 1.
You can now calculate
innodb_stats_persistent_sample_pages
* (2 + 4
+ 2 * (1 + 2)) * 1 to determine the number of leaf pages that
are scanned. With
innodb_stats_persistent_sample_pages
set to
the default value of 20
, and with a default
page size of 16 KiB
(innodb_page_size
=16384), you
can then estimate that 20 * 12 * 16384 bytes
are read for table t
, or about 4
MiB
.
All 4 MiB
may not be read from disk, as
some leaf pages may already be cached in the buffer pool.
You can configure the MERGE_THRESHOLD
value for
index pages. If the “page-full” percentage for an
index page falls below the MERGE_THRESHOLD
value when a row is deleted or when a row is shortened by an
UPDATE
operation,
InnoDB
attempts to merge the index page with a
neighboring index page. The default
MERGE_THRESHOLD
value is 50, which is the
previously hardcoded value. The minimum
MERGE_THRESHOLD
value is 1 and the maximum
value is 50.
When the “page-full” percentage for an index page
falls below 50%, which is the default
MERGE_THRESHOLD
setting,
InnoDB
attempts to merge the index page with a
neighboring page. If both pages are close to 50% full, a page
split can occur soon after the pages are merged. If this
merge-split behavior occurs frequently, it can have an adverse
affect on performance. To avoid frequent merge-splits, you can
lower the MERGE_THRESHOLD
value so that
InnoDB
attempts page merges at a lower
“page-full” percentage. Merging pages at a lower
page-full percentage leaves more room in index pages and helps
reduce merge-split behavior.
The MERGE_THRESHOLD
for index pages can be
defined for a table or for individual indexes. A
MERGE_THRESHOLD
value defined for an individual
index takes priority over a MERGE_THRESHOLD
value defined for the table. If undefined, the
MERGE_THRESHOLD
value defaults to 50.
You can set the MERGE_THRESHOLD
value for a
table using the table_option
COMMENT
clause of the
CREATE TABLE
statement. For
example:
CREATE TABLE t1 ( id INT, KEY id_index (id) ) COMMENT='MERGE_THRESHOLD=45';
You can also set the MERGE_THRESHOLD
value for
an existing table using the
table_option
COMMENT
clause with ALTER TABLE
:
CREATE TABLE t1 ( id INT, KEY id_index (id) ); ALTER TABLE t1 COMMENT='MERGE_THRESHOLD=40';
To set the MERGE_THRESHOLD
value for an
individual index, you can use the
index_option
COMMENT
clause with CREATE TABLE
,
ALTER TABLE
, or
CREATE INDEX
, as shown in the
following examples:
Setting MERGE_THRESHOLD
for an individual
index using CREATE TABLE
:
CREATE TABLE t1 ( id INT, KEY id_index (id) COMMENT 'MERGE_THRESHOLD=40' );
Setting MERGE_THRESHOLD
for an individual
index using ALTER TABLE
:
CREATE TABLE t1 ( id INT, KEY id_index (id) ); ALTER TABLE t1 DROP KEY id_index; ALTER TABLE t1 ADD KEY id_index (id) COMMENT 'MERGE_THRESHOLD=40';
Setting MERGE_THRESHOLD
for an individual
index using CREATE INDEX
:
CREATE TABLE t1 (id INT); CREATE INDEX id_index ON t1 (id) COMMENT 'MERGE_THRESHOLD=40';
You cannot modify the MERGE_THRESHOLD
value
at the index level for GEN_CLUST_INDEX
, which
is the clustered index created by InnoDB
when
an InnoDB
table is created without a primary
key or unique key index. You can only modify the
MERGE_THRESHOLD
value for
GEN_CLUST_INDEX
by setting
MERGE_THRESHOLD
for the table.
The current MERGE_THRESHOLD
value for an index
can be obtained by querying the
INNODB_INDEXES
table. For example:
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_INDEXES WHERE NAME='id_index' \G
*************************** 1. row ***************************
INDEX_ID: 91
NAME: id_index
TABLE_ID: 68
TYPE: 0
N_FIELDS: 1
PAGE_NO: 4
SPACE: 57
MERGE_THRESHOLD: 40
You can use SHOW CREATE TABLE
to
view the MERGE_THRESHOLD
value for a table, if
explicitly defined using the
table_option
COMMENT
clause:
mysql> SHOW CREATE TABLE t2 \G
*************************** 1. row ***************************
Table: t2
Create Table: CREATE TABLE `t2` (
`id` int(11) DEFAULT NULL,
KEY `id_index` (`id`) COMMENT 'MERGE_THRESHOLD=40'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
A MERGE_THRESHOLD
value defined at the index
level takes priority over a MERGE_THRESHOLD
value defined for the table. If undefined,
MERGE_THRESHOLD
defaults to 50%
(MERGE_THRESHOLD=50
, which is the previously
hardcoded value.
Likewise, you can use SHOW INDEX
to
view the MERGE_THRESHOLD
value for an index, if
explicitly defined using the
index_option
COMMENT
clause:
mysql> SHOW INDEX FROM t2 \G
*************************** 1. row ***************************
Table: t2
Non_unique: 1
Key_name: id_index
Seq_in_index: 1
Column_name: id
Collation: A
Cardinality: 0
Sub_part: NULL
Packed: NULL
Null: YES
Index_type: BTREE
Comment:
Index_comment: MERGE_THRESHOLD=40
The INNODB_METRICS
table provides two
counters that can be used to measure the effect of a
MERGE_THRESHOLD
setting on index page merges.
mysql>SELECT NAME, COMMENT FROM INFORMATION_SCHEMA.INNODB_METRICS
WHERE NAME like '%index_page_merge%';
+-----------------------------+----------------------------------------+ | NAME | COMMENT | +-----------------------------+----------------------------------------+ | index_page_merge_attempts | Number of index page merge attempts | | index_page_merge_successful | Number of successful index page merges | +-----------------------------+----------------------------------------+
When lowering the MERGE_THRESHOLD
value, the
objectives are:
A smaller number of page merge attempts and successful page merges
A similar number of page merge attempts and successful page merges
A MERGE_THRESHOLD
setting that is too small
could result in large data files due to an excessive amount of
empty page space.
For information about using
INNODB_METRICS
counters, see
Section 15.14.6, “InnoDB INFORMATION_SCHEMA Metrics Table”.
When innodb_dedicated_server
is
enabled, InnoDB
automatically configures the
following variables:
innodb_log_files_in_group
(as
of MySQL 8.0.14)
Only consider enabling
innodb_dedicated_server
if the
MySQL instance resides on a dedicated server where it can use all
available system resources. For example, consider enabling if you
run MySQL Server in a Docker container or dedicated VM. Enabling
innodb_dedicated_server
is not
recommended if the MySQL instance shares system resources with
other applications.
The information that follows describes how each variable is automatically configured.
Buffer pool size is configured according to the amount of memory detected on the server.
Table 15.9 Automatically Configured Buffer Pool Size
Detected Server Memory | Buffer Pool Size |
---|---|
Less than 1GB | 128MiB (the default value) |
1GB to 4GB | detected server memory * 0.5 |
Greater than 4GB | detected server memory * 0.75 |
As of MySQL 8.0.14, log file size is configured according to the automatically configured buffer pool size.
Table 15.10 Automatically Configured Log File Size
Buffer Pool Size | Log File Size |
---|---|
Less than 8GB | 512MiB |
8GB to 128GB | 1024MiB |
Greater than 128GB | 2048MiB |
Prior to MySQL 8.0.14, the
innodb_log_file_size
variable was automatically configured according to the
amount of memory detected on the server, as shown below:
Table 15.11 Automatically Configured Log File Size (MySQL 8.0.13 and Earlier)
Detected Server Memory | Log File Size |
---|---|
< 1GB | 48MiB (the default value) |
<= 4GB | 128MiB |
<= 8GB | 512MiB |
<= 16GB | 1024MiB |
> 16GB | 2048MiB |
The number of log files is configured according to the
automatically configured buffer pool size (in gigabytes).
Automatic configuration of the
innodb_log_files_in_group
variable was added in MySQL 8.0.14.
Table 15.12 Automatically Configured Number of Log Files
Buffer Pool Size | Number of Log Files |
---|---|
Less than 8GB | ROUND(buffer pool size ) |
8GB to 128GB | ROUND(buffer pool size * 0.75) |
Greater than 128GB | 64 |
The flush method is set to
O_DIRECT_NO_FSYNC
when
innodb_dedicated_server
is
enabled. If the O_DIRECT_NO_FSYNC
setting
is not available, the default
innodb_flush_method
setting
is used.
Prior to MySQL 8.0.14, the
O_DIRECT_NO_FSYNC
setting is not
recommended for use on Linux systems. It may cause the
operating system to hang due to file system metadata
becoming unsynchronized. As of MySQL 8.0.14,
InnoDB
calls fsync()
after creating a new file, after increasing file size, and
after closing a file, which permits
O_DIRECT_NO_FSYNC
mode to be safely used
on XFS and EXT4 file systems. The fsync()
system call is still skipped after each write operation.
If an automatically configured option is configured explicitly in
an option file or elsewhere, the explicitly specified setting is
used, and a startup warning similar to this is printed to
stderr
:
[Warning] [000000] InnoDB: Option innodb_dedicated_server is ignored for innodb_buffer_pool_size because innodb_buffer_pool_size=134217728 is specified explicitly.
Explicit configuration of one option does not prevent the
automatic configuration of other options. For example, if
innodb_dedicated_server
is
enabled and
innodb_buffer_pool_size
is
configured explicitly in an option file,
innodb_log_file_size
and
innodb_log_files_in_group
are
automatically configured based on the implicit buffer pool size
that is calculated according to the amount of memory detected on
the server.
Automatically configured settings are evaluated and reconfigured if necessary each time the MySQL server is started.
This section provides information about the
InnoDB
table compression and
InnoDB
page compression features. The page
compression feature is also referred to as
transparent page
compression.
Using the compression features of InnoDB
, you can
create tables where the data is stored in compressed form.
Compression can help to improve both raw performance and
scalability. The compression means less data is transferred between
disk and memory, and takes up less space on disk and in memory. The
benefits are amplified for tables with
secondary indexes,
because index data is compressed also. Compression can be especially
important for SSD storage devices,
because they tend to have lower capacity than
HDD devices.
This section describes InnoDB
table
compression, which is supported with InnoDB
tables that reside in
file_per_table
tablespaces or general
tablespaces. Table compression is enabled using the
ROW_FORMAT=COMPRESSED
attribute with
CREATE TABLE
or
ALTER TABLE
.
Because processors and cache memories have increased in speed more than disk storage devices, many workloads are disk-bound. Data compression enables smaller database size, reduced I/O, and improved throughput, at the small cost of increased CPU utilization. Compression is especially valuable for read-intensive applications, on systems with enough RAM to keep frequently used data in memory.
An InnoDB
table created with
ROW_FORMAT=COMPRESSED
can use a smaller
page size on disk than the
configured innodb_page_size
value. Smaller pages require less I/O to read from and write to
disk, which is especially valuable for
SSD devices.
The compressed page size is specified through the
CREATE TABLE
or
ALTER TABLE
KEY_BLOCK_SIZE
parameter. The different page
size requires that the table be placed in a
file-per-table
tablespace or general
tablespace rather than in the
system tablespace,
as the system tablespace cannot store compressed tables. For
more information, see
Section 15.6.3.2, “File-Per-Table Tablespaces”, and
Section 15.6.3.3, “General Tablespaces”.
The level of compression is the same regardless of the
KEY_BLOCK_SIZE
value. As you specify smaller
values for KEY_BLOCK_SIZE
, you get the I/O
benefits of increasingly smaller pages. But if you specify a
value that is too small, there is additional overhead to
reorganize the pages when data values cannot be compressed
enough to fit multiple rows in each page. There is a hard limit
on how small KEY_BLOCK_SIZE
can be for a
table, based on the lengths of the key columns for each of its
indexes. Specify a value that is too small, and the
CREATE TABLE
or
ALTER TABLE
statement fails.
In the buffer pool, the compressed data is held in small pages,
with a page size based on the KEY_BLOCK_SIZE
value. For extracting or updating the column values, MySQL also
creates an uncompressed page in the buffer pool with the
uncompressed data. Within the buffer pool, any updates to the
uncompressed page are also re-written back to the equivalent
compressed page. You might need to size your buffer pool to
accommodate the additional data of both compressed and
uncompressed pages, although the uncompressed pages are
evicted from the buffer
pool when space is needed, and then uncompressed again on the
next access.
Compressed tables can be created in file-per-table tablespaces or in general tablespaces. Table compression is not available for the InnoDB system tablespace. The system tablespace (space 0, the .ibdata files) can contain user-created tables, but it also contains internal system data, which is never compressed. Thus, compression applies only to tables (and indexes) stored in file-per-table or general tablespaces.
To create a compressed table in a file-per-table tablespace,
innodb_file_per_table
must be
enabled (the default). You can set this parameter in the MySQL
configuration file (my.cnf
or
my.ini
) or dynamically, using a
SET
statement.
After the innodb_file_per_table
option is configured, specify the
ROW_FORMAT=COMPRESSED
clause or
KEY_BLOCK_SIZE
clause, or both, in a
CREATE TABLE
or
ALTER TABLE
statement to create a
compressed table in a file-per-table tablespace.
For example, you might use the following statements:
SET GLOBAL innodb_file_per_table=1; CREATE TABLE t1 (c1 INT PRIMARY KEY) ROW_FORMAT=COMPRESSED KEY_BLOCK_SIZE=8;
To create a compressed table in a general tablespace,
FILE_BLOCK_SIZE
must be defined for the
general tablespace, which is specified when the tablespace is
created. The FILE_BLOCK_SIZE
value must be a
valid compressed page size in relation to the
innodb_page_size
value, and the
page size of the compressed table, defined by the
CREATE TABLE
or
ALTER TABLE
KEY_BLOCK_SIZE
clause, must be equal to
FILE_BLOCK_SIZE/1024
. For example, if
innodb_page_size=16384
and
FILE_BLOCK_SIZE=8192
, the
KEY_BLOCK_SIZE
of the table must be 8. For
more information, see Section 15.6.3.3, “General Tablespaces”.
The following example demonstrates creating a general tablespace
and adding a compressed table. The example assumes a default
innodb_page_size
of 16K. The
FILE_BLOCK_SIZE
of 8192 requires that the
compressed table have a KEY_BLOCK_SIZE
of 8.
mysql>CREATE TABLESPACE `ts2` ADD DATAFILE 'ts2.ibd' FILE_BLOCK_SIZE = 8192 Engine=InnoDB;
mysql>CREATE TABLE t4 (c1 INT PRIMARY KEY) TABLESPACE ts2 ROW_FORMAT=COMPRESSED KEY_BLOCK_SIZE=8;
As of MySQL 8.0, the tablespace file for a
compressed table is created using the physical page size
instead of the InnoDB
page size, which
makes the initial size of a tablespace file for an empty
compressed table smaller than in previous MySQL releases.
If you specify ROW_FORMAT=COMPRESSED
, you
can omit KEY_BLOCK_SIZE
; the
KEY_BLOCK_SIZE
setting defaults to half
the innodb_page_size
value.
If you specify a valid KEY_BLOCK_SIZE
value, you can omit
ROW_FORMAT=COMPRESSED
; compression is
enabled automatically.
To determine the best value for
KEY_BLOCK_SIZE,
typically you create
several copies of the same table with different values for
this clause, then measure the size of the resulting
.ibd
files and see how well each
performs with a realistic
workload. For general
tablespaces, keep in mind that dropping a table does not
reduce the size of the general tablespace
.ibd
file, nor does it return disk
space to the operating system. For more information, see
Section 15.6.3.3, “General Tablespaces”.
The KEY_BLOCK_SIZE
value is treated as a
hint; a different size could be used by
InnoDB
if necessary. For file-per-table
tablespaces, the KEY_BLOCK_SIZE
can only
be less than or equal to the
innodb_page_size
value. If
you specify a value greater than the
innodb_page_size
value, the
specified value is ignored, a warning is issued, and
KEY_BLOCK_SIZE
is set to half of the
innodb_page_size
value. If
innodb_strict_mode=ON
, specifying an
invalid KEY_BLOCK_SIZE
value returns an
error. For general tablespaces, valid
KEY_BLOCK_SIZE
values depend on the
FILE_BLOCK_SIZE
setting of the
tablespace. For more information, see
Section 15.6.3.3, “General Tablespaces”.
InnoDB
supports 32KB and 64KB page sizes
but these page sizes do not support compression. For more
information, refer to the
innodb_page_size
documentation.
The default uncompressed size of InnoDB
data pages is 16KB.
Depending on the combination of option values, MySQL uses a
page size of 1KB, 2KB, 4KB, 8KB, or 16KB for the tablespace
data file (.ibd
file). The actual
compression algorithm is not affected by the
KEY_BLOCK_SIZE
value; the value
determines how large each compressed chunk is, which in turn
affects how many rows can be packed into each compressed
page.
When creating a compressed table in a file-per-table
tablespace, setting KEY_BLOCK_SIZE
equal
to the InnoDB
page size does not
typically result in much compression. For example, setting
KEY_BLOCK_SIZE=16
typically would not
result in much compression, since the normal
InnoDB
page size is 16KB. This setting
may still be useful for tables with many long
BLOB
,
VARCHAR
or
TEXT
columns, because such
values often do compress well, and might therefore require
fewer overflow
pages as described in
Section 15.9.1.5, “How Compression Works for InnoDB Tables”. For general
tablespaces, a KEY_BLOCK_SIZE
value equal
to the InnoDB
page size is not permitted.
For more information, see
Section 15.6.3.3, “General Tablespaces”.
All indexes of a table (including the
clustered index)
are compressed using the same page size, as specified in the
CREATE TABLE
or ALTER
TABLE
statement. Table attributes such as
ROW_FORMAT
and
KEY_BLOCK_SIZE
are not part of the
CREATE INDEX
syntax for
InnoDB
tables, and are ignored if they
are specified (although, if specified, they will appear in
the output of the SHOW CREATE
TABLE
statement).
For performance-related configuration options, see Section 15.9.1.3, “Tuning Compression for InnoDB Tables”.
Compressed tables cannot be stored in the
InnoDB
system tablespace.
General tablespaces can contain multiple tables, but compressed and uncompressed tables cannot coexist within the same general tablespace.
Compression applies to an entire table and all its
associated indexes, not to individual rows, despite the
clause name ROW_FORMAT
.
InnoDB
does not support compressed
temporary tables. When
innodb_strict_mode
is
enabled (the default),
CREATE
TEMPORARY TABLE
returns errors if
ROW_FORMAT=COMPRESSED
or
KEY_BLOCK_SIZE
is specified. If
innodb_strict_mode
is
disabled, warnings are issued and the temporary table is
created using a non-compressed row format. The same
restrictions apply to ALTER
TABLE
operations on temporary tables.
Most often, the internal optimizations described in InnoDB Data Storage and Compression ensure that the system runs well with compressed data. However, because the efficiency of compression depends on the nature of your data, you can make decisions that affect the performance of compressed tables:
Which tables to compress.
What compressed page size to use.
Whether to adjust the size of the buffer pool based on run-time performance characteristics, such as the amount of time the system spends compressing and uncompressing data. Whether the workload is more like a data warehouse (primarily queries) or an OLTP system (mix of queries and DML).
If the system performs DML operations on compressed tables, and the way the data is distributed leads to expensive compression failures at runtime, you might adjust additional advanced configuration options.
Use the guidelines in this section to help make those architectural and configuration choices. When you are ready to conduct long-term testing and put compressed tables into production, see Section 15.9.1.4, “Monitoring InnoDB Table Compression at Runtime” for ways to verify the effectiveness of those choices under real-world conditions.
In general, compression works best on tables that include a reasonable number of character string columns and where the data is read far more often than it is written. Because there are no guaranteed ways to predict whether or not compression benefits a particular situation, always test with a specific workload and data set running on a representative configuration. Consider the following factors when deciding which tables to compress.
A key determinant of the efficiency of compression in reducing
the size of data files is the nature of the data itself. Recall
that compression works by identifying repeated strings of bytes
in a block of data. Completely randomized data is the worst
case. Typical data often has repeated values, and so compresses
effectively. Character strings often compress well, whether
defined in CHAR
, VARCHAR
,
TEXT
or BLOB
columns. On
the other hand, tables containing mostly binary data (integers
or floating point numbers) or data that is previously compressed
(for example JPEG or PNG
images) may not generally compress well, significantly or at
all.
You choose whether to turn on compression for each InnoDB table. A table and all of its indexes use the same (compressed) page size. It might be that the primary key (clustered) index, which contains the data for all columns of a table, compresses more effectively than the secondary indexes. For those cases where there are long rows, the use of compression might result in long column values being stored “off-page”, as discussed in DYNAMIC Row Format. Those overflow pages may compress well. Given these considerations, for many applications, some tables compress more effectively than others, and you might find that your workload performs best only with a subset of tables compressed.
To determine whether or not to compress a particular table,
conduct experiments. You can get a rough estimate of how
efficiently your data can be compressed by using a utility that
implements LZ77 compression (such as gzip
or
WinZip) on a copy of the .ibd
file for an uncompressed table. You can expect less
compression from a MySQL compressed table than from file-based
compression tools, because MySQL compresses data in chunks based
on the page size, 16KB by
default. In addition to user data, the page format includes some
internal system data that is not compressed. File-based
compression utilities can examine much larger chunks of data,
and so might find more repeated strings in a huge file than
MySQL can find in an individual page.
Another way to test compression on a specific table is to copy
some data from your uncompressed table to a similar, compressed
table (having all the same indexes) in a
file-per-table
tablespace and look at the size of the resulting
.ibd
file. For example:
USE test; SET GLOBAL innodb_file_per_table=1; SET GLOBAL autocommit=0; -- Create an uncompressed table with a million or two rows. CREATE TABLE big_table AS SELECT * FROM information_schema.columns; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; INSERT INTO big_table SELECT * FROM big_table; COMMIT; ALTER TABLE big_table ADD id int unsigned NOT NULL PRIMARY KEY auto_increment; SHOW CREATE TABLE big_table\G select count(id) from big_table; -- Check how much space is needed for the uncompressed table. \! ls -l data/test/big_table.ibd CREATE TABLE key_block_size_4 LIKE big_table; ALTER TABLE key_block_size_4 key_block_size=4 row_format=compressed; INSERT INTO key_block_size_4 SELECT * FROM big_table; commit; -- Check how much space is needed for a compressed table -- with particular compression settings. \! ls -l data/test/key_block_size_4.ibd
This experiment produced the following numbers, which of course could vary considerably depending on your table structure and data:
-rw-rw---- 1 cirrus staff 310378496 Jan 9 13:44 data/test/big_table.ibd -rw-rw---- 1 cirrus staff 83886080 Jan 9 15:10 data/test/key_block_size_4.ibd
To see whether compression is efficient for your particular workload:
For simple tests, use a MySQL instance with no other
compressed tables and run queries against the
INFORMATION_SCHEMA.INNODB_CMP
table.
For more elaborate tests involving workloads with multiple
compressed tables, run queries against the
INFORMATION_SCHEMA.INNODB_CMP_PER_INDEX
table. Because the statistics in the
INNODB_CMP_PER_INDEX
table are expensive
to collect, you must enable the configuration option
innodb_cmp_per_index_enabled
before querying that table, and you might restrict such
testing to a development server or a non-critical
slave server.
Run some typical SQL statements against the compressed table you are testing.
Examine the ratio of successful compression operations to
overall compression operations by querying the
INFORMATION_SCHEMA.INNODB_CMP
or
INFORMATION_SCHEMA.INNODB_CMP_PER_INDEX
table, and comparing COMPRESS_OPS
to
COMPRESS_OPS_OK
.
If a high percentage of compression operations complete successfully, the table might be a good candidate for compression.
If you get a high proportion of
compression
failures, you can adjust
innodb_compression_level
,
innodb_compression_failure_threshold_pct
,
and
innodb_compression_pad_pct_max
options as described in
Section 15.9.1.6, “Compression for OLTP Workloads”, and
try further tests.
Decide whether to compress data in your application or in the table; do not use both types of compression for the same data. When you compress the data in the application and store the results in a compressed table, extra space savings are extremely unlikely, and the double compression just wastes CPU cycles.
When enabled, MySQL table compression is automatic and applies
to all columns and index values. The columns can still be tested
with operators such as LIKE
, and sort
operations can still use indexes even when the index values are
compressed. Because indexes are often a significant fraction of
the total size of a database, compression could result in
significant savings in storage, I/O or processor time. The
compression and decompression operations happen on the database
server, which likely is a powerful system that is sized to
handle the expected load.
If you compress data such as text in your application, before it is inserted into the database, You might save overhead for data that does not compress well by compressing some columns and not others. This approach uses CPU cycles for compression and uncompression on the client machine rather than the database server, which might be appropriate for a distributed application with many clients, or where the client machine has spare CPU cycles.
Of course, it is possible to combine these approaches. For some applications, it may be appropriate to use some compressed tables and some uncompressed tables. It may be best to externally compress some data (and store it in uncompressed tables) and allow MySQL to compress (some of) the other tables in the application. As always, up-front design and real-life testing are valuable in reaching the right decision.
In addition to choosing which tables to compress (and the page
size), the workload is another key determinant of performance.
If the application is dominated by reads, rather than updates,
fewer pages need to be reorganized and recompressed after the
index page runs out of room for the per-page “modification
log” that MySQL maintains for compressed data. If the
updates predominantly change non-indexed columns or those
containing BLOB
s or large strings that happen
to be stored “off-page”, the overhead of
compression may be acceptable. If the only changes to a table
are INSERT
s that use a monotonically
increasing primary key, and there are few secondary indexes,
there is little need to reorganize and recompress index pages.
Since MySQL can “delete-mark” and delete rows on
compressed pages “in place” by modifying
uncompressed data, DELETE
operations on a
table are relatively efficient.
For some environments, the time it takes to load data can be as important as run-time retrieval. Especially in data warehouse environments, many tables may be read-only or read-mostly. In those cases, it might or might not be acceptable to pay the price of compression in terms of increased load time, unless the resulting savings in fewer disk reads or in storage cost is significant.
Fundamentally, compression works best when the CPU time is available for compressing and uncompressing data. Thus, if your workload is I/O bound, rather than CPU-bound, you might find that compression can improve overall performance. When you test your application performance with different compression configurations, test on a platform similar to the planned configuration of the production system.
Reading and writing database pages from and to disk is the slowest aspect of system performance. Compression attempts to reduce I/O by using CPU time to compress and uncompress data, and is most effective when I/O is a relatively scarce resource compared to processor cycles.
This is often especially the case when running in a multi-user environment with fast, multi-core CPUs. When a page of a compressed table is in memory, MySQL often uses additional memory, typically 16KB, in the buffer pool for an uncompressed copy of the page. The adaptive LRU algorithm attempts to balance the use of memory between compressed and uncompressed pages to take into account whether the workload is running in an I/O-bound or CPU-bound manner. Still, a configuration with more memory dedicated to the buffer pool tends to run better when using compressed tables than a configuration where memory is highly constrained.
The optimal setting of the compressed page size depends on the type and distribution of data that the table and its indexes contain. The compressed page size should always be bigger than the maximum record size, or operations may fail as noted in Compression of B-Tree Pages.
Setting the compressed page size too large wastes some space, but the pages do not have to be compressed as often. If the compressed page size is set too small, inserts or updates may require time-consuming recompression, and the B-tree nodes may have to be split more frequently, leading to bigger data files and less efficient indexing.
Typically, you set the compressed page size to 8K or 4K bytes.
Given that the maximum row size for an InnoDB table is around
8K, KEY_BLOCK_SIZE=8
is usually a safe
choice.
Overall application performance, CPU and I/O utilization and the size of disk files are good indicators of how effective compression is for your application. This section builds on the performance tuning advice from Section 15.9.1.3, “Tuning Compression for InnoDB Tables”, and shows how to find problems that might not turn up during initial testing.
To dig deeper into performance considerations for compressed tables, you can monitor compression performance at runtime using the Information Schema tables described in Example 15.1, “Using the Compression Information Schema Tables”. These tables reflect the internal use of memory and the rates of compression used overall.
The INNODB_CMP
table reports
information about compression activity for each compressed page
size (KEY_BLOCK_SIZE
) in use. The information
in these tables is system-wide: it summarizes the compression
statistics across all compressed tables in your database. You
can use this data to help decide whether or not to compress a
table by examining these tables when no other compressed tables
are being accessed. It involves relatively low overhead on the
server, so you might query it periodically on a production
server to check the overall efficiency of the compression
feature.
The INNODB_CMP_PER_INDEX
table
reports information about compression activity for individual
tables and indexes. This information is more targeted and more
useful for evaluating compression efficiency and diagnosing
performance issues one table or index at a time. (Because that
each InnoDB
table is represented as a
clustered index, MySQL does not make a big distinction between
tables and indexes in this context.) The
INNODB_CMP_PER_INDEX
table does
involve substantial overhead, so it is more suitable for
development servers, where you can compare the effects of
different workloads, data,
and compression settings in isolation. To guard against imposing
this monitoring overhead by accident, you must enable the
innodb_cmp_per_index_enabled
configuration option before you can query the
INNODB_CMP_PER_INDEX
table.
The key statistics to consider are the number of, and amount of
time spent performing, compression and uncompression operations.
Since MySQL splits B-tree
nodes when they are too full to contain the compressed data
following a modification, compare the number of
“successful” compression operations with the number
of such operations overall. Based on the information in the
INNODB_CMP
and
INNODB_CMP_PER_INDEX
tables and
overall application performance and hardware resource
utilization, you might make changes in your hardware
configuration, adjust the size of the buffer pool, choose a
different page size, or select a different set of tables to
compress.
If the amount of CPU time required for compressing and uncompressing is high, changing to faster or multi-core CPUs can help improve performance with the same data, application workload and set of compressed tables. Increasing the size of the buffer pool might also help performance, so that more uncompressed pages can stay in memory, reducing the need to uncompress pages that exist in memory only in compressed form.
A large number of compression operations overall (compared to
the number of INSERT
,
UPDATE
and DELETE
operations in your application and the size of the database)
could indicate that some of your compressed tables are being
updated too heavily for effective compression. If so, choose a
larger page size, or be more selective about which tables you
compress.
If the number of “successful” compression
operations (COMPRESS_OPS_OK
) is a high
percentage of the total number of compression operations
(COMPRESS_OPS
), then the system is likely
performing well. If the ratio is low, then MySQL is
reorganizing, recompressing, and splitting B-tree nodes more
often than is desirable. In this case, avoid compressing some
tables, or increase KEY_BLOCK_SIZE
for some
of the compressed tables. You might turn off compression for
tables that cause the number of “compression
failures” in your application to be more than 1% or 2% of
the total. (Such a failure ratio might be acceptable during a
temporary operation such as a data load).
This section describes some internal implementation details about compression for InnoDB tables. The information presented here may be helpful in tuning for performance, but is not necessary to know for basic use of compression.
Some operating systems implement compression at the file system level. Files are typically divided into fixed-size blocks that are compressed into variable-size blocks, which easily leads into fragmentation. Every time something inside a block is modified, the whole block is recompressed before it is written to disk. These properties make this compression technique unsuitable for use in an update-intensive database system.
MySQL implements compression with the help of the well-known zlib library, which implements the LZ77 compression algorithm. This compression algorithm is mature, robust, and efficient in both CPU utilization and in reduction of data size. The algorithm is “lossless”, so that the original uncompressed data can always be reconstructed from the compressed form. LZ77 compression works by finding sequences of data that are repeated within the data to be compressed. The patterns of values in your data determine how well it compresses, but typical user data often compresses by 50% or more.
InnoDB
supports the zlib
library up to version 1.2.11, which is the version bundled
with MySQL 8.0.
Unlike compression performed by an application, or compression
features of some other database management systems, InnoDB
compression applies both to user data and to indexes. In many
cases, indexes can constitute 40-50% or more of the total
database size, so this difference is significant. When
compression is working well for a data set, the size of the
InnoDB data files (the
file-per-table
tablespace or general
tablespace .idb
files) is 25% to 50%
of the uncompressed size or possibly smaller. Depending on the
workload, this smaller
database can in turn lead to a reduction in I/O, and an increase
in throughput, at a modest cost in terms of increased CPU
utilization. You can adjust the balance between compression
level and CPU overhead by modifying the
innodb_compression_level
configuration option.
All user data in InnoDB tables is stored in pages comprising a B-tree index (the clustered index). In some other database systems, this type of index is called an “index-organized table”. Each row in the index node contains the values of the (user-specified or system-generated) primary key and all the other columns of the table.
Secondary indexes in InnoDB tables are also B-trees, containing pairs of values: the index key and a pointer to a row in the clustered index. The pointer is in fact the value of the primary key of the table, which is used to access the clustered index if columns other than the index key and primary key are required. Secondary index records must always fit on a single B-tree page.
The compression of B-tree nodes (of both clustered and secondary
indexes) is handled differently from compression of
overflow pages used to
store long VARCHAR
, BLOB
,
or TEXT
columns, as explained in the
following sections.
Because they are frequently updated, B-tree pages require special treatment. It is important to minimize the number of times B-tree nodes are split, as well as to minimize the need to uncompress and recompress their content.
One technique MySQL uses is to maintain some system information in the B-tree node in uncompressed form, thus facilitating certain in-place updates. For example, this allows rows to be delete-marked and deleted without any compression operation.
In addition, MySQL attempts to avoid unnecessary uncompression and recompression of index pages when they are changed. Within each B-tree page, the system keeps an uncompressed “modification log” to record changes made to the page. Updates and inserts of small records may be written to this modification log without requiring the entire page to be completely reconstructed.
When the space for the modification log runs out, InnoDB uncompresses the page, applies the changes and recompresses the page. If recompression fails (a situation known as a compression failure), the B-tree nodes are split and the process is repeated until the update or insert succeeds.
To avoid frequent compression failures in write-intensive
workloads, such as for OLTP
applications, MySQL sometimes reserves some empty space
(padding) in the page, so that the modification log fills up
sooner and the page is recompressed while there is still enough
room to avoid splitting it. The amount of padding space left in
each page varies as the system keeps track of the frequency of
page splits. On a busy server doing frequent writes to
compressed tables, you can adjust the
innodb_compression_failure_threshold_pct
,
and
innodb_compression_pad_pct_max
configuration options to fine-tune this mechanism.
Generally, MySQL requires that each B-tree page in an InnoDB
table can accommodate at least two records. For compressed
tables, this requirement has been relaxed. Leaf pages of B-tree
nodes (whether of the primary key or secondary indexes) only
need to accommodate one record, but that record must fit, in
uncompressed form, in the per-page modification log. If
innodb_strict_mode
is
ON
, MySQL checks the maximum row size during
CREATE TABLE
or
CREATE INDEX
. If the row does not
fit, the following error message is issued: ERROR
HY000: Too big row
.
If you create a table when
innodb_strict_mode
is OFF, and
a subsequent INSERT
or
UPDATE
statement attempts to create an index
entry that does not fit in the size of the compressed page, the
operation fails with ERROR 42000: Row size too
large
. (This error message does not name the index for
which the record is too large, or mention the length of the
index record or the maximum record size on that particular index
page.) To solve this problem, rebuild the table with
ALTER TABLE
and select a larger
compressed page size (KEY_BLOCK_SIZE
),
shorten any column prefix indexes, or disable compression
entirely with ROW_FORMAT=DYNAMIC
or
ROW_FORMAT=COMPACT
.
innodb_strict_mode
is not
applicable to general tablespaces, which also support compressed
tables. Tablespace management rules for general tablespaces are
strictly enforced independently of
innodb_strict_mode
. For more
information, see Section 13.1.21, “CREATE TABLESPACE Syntax”.
In an InnoDB table, BLOB
,
VARCHAR
, and
TEXT
columns that are not part of
the primary key may be stored on separately allocated
overflow pages. We
refer to these columns as
off-page columns.
Their values are stored on singly-linked lists of overflow
pages.
For tables created in ROW_FORMAT=DYNAMIC
or
ROW_FORMAT=COMPRESSED
, the values of
BLOB
,
TEXT
, or
VARCHAR
columns may be stored
fully off-page, depending on their length and the length of the
entire row. For columns that are stored off-page, the clustered
index record only contains 20-byte pointers to the overflow
pages, one per column. Whether any columns are stored off-page
depends on the page size and the total size of the row. When the
row is too long to fit entirely within the page of the clustered
index, MySQL chooses the longest columns for off-page storage
until the row fits on the clustered index page. As noted above,
if a row does not fit by itself on a compressed page, an error
occurs.
For tables created in ROW_FORMAT=DYNAMIC
or
ROW_FORMAT=COMPRESSED
,
TEXT
and
BLOB
columns that are less than
or equal to 40 bytes are always stored in-line.
Tables that use ROW_FORMAT=REDUNDANT
and
ROW_FORMAT=COMPACT
store the first 768 bytes
of BLOB
,
VARCHAR
, and
TEXT
columns in the clustered
index record along with the primary key. The 768-byte prefix is
followed by a 20-byte pointer to the overflow pages that contain
the rest of the column value.
When a table is in COMPRESSED
format, all
data written to overflow pages is compressed “as
is”; that is, MySQL applies the zlib compression
algorithm to the entire data item. Other than the data,
compressed overflow pages contain an uncompressed header and
trailer comprising a page checksum and a link to the next
overflow page, among other things. Therefore, very significant
storage savings can be obtained for longer
BLOB
, TEXT
, or
VARCHAR
columns if the data is highly
compressible, as is often the case with text data. Image data,
such as JPEG
, is typically already compressed
and so does not benefit much from being stored in a compressed
table; the double compression can waste CPU cycles for little or
no space savings.
The overflow pages are of the same size as other pages. A row containing ten columns stored off-page occupies ten overflow pages, even if the total length of the columns is only 8K bytes. In an uncompressed table, ten uncompressed overflow pages occupy 160K bytes. In a compressed table with an 8K page size, they occupy only 80K bytes. Thus, it is often more efficient to use compressed table format for tables with long column values.
For file-per-table
tablespaces, using a 16K compressed page size can reduce storage
and I/O costs for BLOB
,
VARCHAR
, or
TEXT
columns, because such data
often compress well, and might therefore require fewer overflow
pages, even though the B-tree nodes themselves take as many
pages as in the uncompressed form. General tablespaces do not
support a 16K compressed page size
(KEY_BLOCK_SIZE
). For more information, see
Section 15.6.3.3, “General Tablespaces”.
In a compressed InnoDB
table, every
compressed page (whether 1K, 2K, 4K or 8K) corresponds to an
uncompressed page of 16K bytes (or a smaller size if
innodb_page_size
is set). To
access the data in a page, MySQL reads the compressed page from
disk if it is not already in the
buffer pool, then
uncompresses the page to its original form. This section
describes how InnoDB
manages the buffer pool
with respect to pages of compressed tables.
To minimize I/O and to reduce the need to uncompress a page, at times the buffer pool contains both the compressed and uncompressed form of a database page. To make room for other required database pages, MySQL can evict from the buffer pool an uncompressed page, while leaving the compressed page in memory. Or, if a page has not been accessed in a while, the compressed form of the page might be written to disk, to free space for other data. Thus, at any given time, the buffer pool might contain both the compressed and uncompressed forms of the page, or only the compressed form of the page, or neither.
MySQL keeps track of which pages to keep in memory and which to evict using a least-recently-used (LRU) list, so that hot (frequently accessed) data tends to stay in memory. When compressed tables are accessed, MySQL uses an adaptive LRU algorithm to achieve an appropriate balance of compressed and uncompressed pages in memory. This adaptive algorithm is sensitive to whether the system is running in an I/O-bound or CPU-bound manner. The goal is to avoid spending too much processing time uncompressing pages when the CPU is busy, and to avoid doing excess I/O when the CPU has spare cycles that can be used for uncompressing compressed pages (that may already be in memory). When the system is I/O-bound, the algorithm prefers to evict the uncompressed copy of a page rather than both copies, to make more room for other disk pages to become memory resident. When the system is CPU-bound, MySQL prefers to evict both the compressed and uncompressed page, so that more memory can be used for “hot” pages and reducing the need to uncompress data in memory only in compressed form.
Before a compressed page is written to a
data file, MySQL writes a
copy of the page to the redo log (if it has been recompressed
since the last time it was written to the database). This is
done to ensure that redo logs are usable for
crash recovery, even
in the unlikely case that the zlib
library is
upgraded and that change introduces a compatibility problem with
the compressed data. Therefore, some increase in the size of
log files, or a need for
more frequent
checkpoints, can be
expected when using compression. The amount of increase in the
log file size or checkpoint frequency depends on the number of
times compressed pages are modified in a way that requires
reorganization and recompression.
To create a compressed table in a file-per-table tablespace,
innodb_file_per_table
must be
enabled. There is no dependence on the
innodb_file_per_table
setting
when creating a compressed table in a general tablespace. For
more information, see Section 15.6.3.3, “General Tablespaces”.
Traditionally, the InnoDB
compression feature was
recommended primarily for read-only or read-mostly
workloads, such as in a
data warehouse
configuration. The rise of SSD
storage devices, which are fast but relatively small and
expensive, makes compression attractive also for
OLTP
workloads: high-traffic, interactive
websites can reduce their storage requirements and their I/O
operations per second (IOPS) by
using compressed tables with applications that do frequent
INSERT
,
UPDATE
, and
DELETE
operations.
These configuration options let you adjust the way compression works for a particular MySQL instance, with an emphasis on performance and scalability for write-intensive operations:
innodb_compression_level
lets you turn the degree of compression up or down. A higher
value lets you fit more data onto a storage device, at the
expense of more CPU overhead during compression. A lower
value lets you reduce CPU overhead when storage space is not
critical, or you expect the data is not especially
compressible.
innodb_compression_failure_threshold_pct
specifies a cutoff point for
compression
failures during updates to a compressed table. When
this threshold is passed, MySQL begins to leave additional
free space within each new compressed page, dynamically
adjusting the amount of free space up to the percentage of
page size specified by
innodb_compression_pad_pct_max
innodb_compression_pad_pct_max
lets you adjust the maximum amount of space reserved within
each page to record changes
to compressed rows, without needing to compress the entire
page again. The higher the value, the more changes can be
recorded without recompressing the page. MySQL uses a
variable amount of free space for the pages within each
compressed table, only when a designated percentage of
compression operations
“fail”
at runtime, requiring an expensive operation to split the
compressed page.
innodb_log_compressed_pages
lets you disable writing of images of
re-compressed
pages to the
redo log.
Re-compression may occur when changes are made to compressed
data. This option is enabled by default to prevent
corruption that could occur if a different version of the
zlib
compression algorithm is used during
recovery. If you are certain that the
zlib
version will not change, disable
innodb_log_compressed_pages
to reduce redo log generation for workloads that modify
compressed data.
Because working with compressed data sometimes involves keeping
both compressed and uncompressed versions of a page in memory at
the same time, when using compression with an OLTP-style
workload, be prepared to increase the value of the
innodb_buffer_pool_size
configuration option.
This section describes syntax warnings and errors that you may encounter when using the table compression feature with file-per-table tablespaces and general tablespaces.
When innodb_strict_mode
is
enabled (the default), specifying
ROW_FORMAT=COMPRESSED
or
KEY_BLOCK_SIZE
in CREATE
TABLE
or ALTER TABLE
statements produces the following error if
innodb_file_per_table
is
disabled.
ERROR 1031 (HY000): Table storage engine for 't1' doesn't have this option
The table is not created if the current configuration does not permit using compressed tables.
When innodb_strict_mode
is
disabled, specifying ROW_FORMAT=COMPRESSED
or
KEY_BLOCK_SIZE
in CREATE
TABLE
or ALTER TABLE
statements produces the following warnings if
innodb_file_per_table
is
disabled.
mysql> SHOW WARNINGS;
+---------+------+---------------------------------------------------------------+
| Level | Code | Message |
+---------+------+---------------------------------------------------------------+
| Warning | 1478 | InnoDB: KEY_BLOCK_SIZE requires innodb_file_per_table. |
| Warning | 1478 | InnoDB: ignoring KEY_BLOCK_SIZE=4. |
| Warning | 1478 | InnoDB: ROW_FORMAT=COMPRESSED requires innodb_file_per_table. |
| Warning | 1478 | InnoDB: assuming ROW_FORMAT=DYNAMIC. |
+---------+------+---------------------------------------------------------------+
These messages are only warnings, not errors, and the table is created without compression, as if the options were not specified.
The “non-strict” behavior lets you import a
mysqldump
file into a database that does not
support compressed tables, even if the source database contained
compressed tables. In that case, MySQL creates the table in
ROW_FORMAT=DYNAMIC
instead of preventing the
operation.
To import the dump file into a new database, and have the tables
re-created as they exist in the original database, ensure the
server has the proper setting for the
innodb_file_per_table
configuration parameter.
The attribute KEY_BLOCK_SIZE
is permitted
only when ROW_FORMAT
is specified as
COMPRESSED
or is omitted. Specifying a
KEY_BLOCK_SIZE
with any other
ROW_FORMAT
generates a warning that you can
view with SHOW WARNINGS
. However, the table
is non-compressed; the specified
KEY_BLOCK_SIZE
is ignored).
Level | Code | Message |
---|---|---|
Warning | 1478 | InnoDB: ignoring KEY_BLOCK_SIZE= |
If you are running with
innodb_strict_mode
enabled, the
combination of a KEY_BLOCK_SIZE
with any
ROW_FORMAT
other than
COMPRESSED
generates an error, not a warning,
and the table is not created.
Table 15.13, “ROW_FORMAT and KEY_BLOCK_SIZE Options”
provides an overview the ROW_FORMAT
and
KEY_BLOCK_SIZE
options that are used with
CREATE TABLE
or
ALTER TABLE
.
Table 15.13 ROW_FORMAT and KEY_BLOCK_SIZE Options
Option | Usage Notes | Description |
---|---|---|
ROW_FORMAT=REDUNDANT |
Storage format used prior to MySQL 5.0.3 | Less efficient than ROW_FORMAT=COMPACT ; for backward
compatibility |
ROW_FORMAT=COMPACT |
Default storage format since MySQL 5.0.3 | Stores a prefix of 768 bytes of long column values in the clustered index page, with the remaining bytes stored in an overflow page |
ROW_FORMAT=DYNAMIC |
Store values within the clustered index page if they fit; if not, stores only a 20-byte pointer to an overflow page (no prefix) | |
ROW_FORMAT=COMPRESSED |
Compresses the table and indexes using zlib | |
KEY_BLOCK_SIZE= |
Specifies compressed page size of 1, 2, 4, 8 or 16 kilobytes; implies
ROW_FORMAT=COMPRESSED . For general
tablespaces, a KEY_BLOCK_SIZE value
equal to the InnoDB page size is not
permitted. |
Table 15.14, “CREATE/ALTER TABLE Warnings and Errors when InnoDB Strict Mode is OFF”
summarizes error conditions that occur with certain combinations
of configuration parameters and options on the
CREATE TABLE
or
ALTER TABLE
statements, and how
the options appear in the output of SHOW TABLE
STATUS
.
When innodb_strict_mode
is
OFF
, MySQL creates or alters the table, but
ignores certain settings as shown below. You can see the warning
messages in the MySQL error log. When
innodb_strict_mode
is
ON
, these specified combinations of options
generate errors, and the table is not created or altered. To see
the full description of the error condition, issue the
SHOW ERRORS
statement: example:
mysql>CREATE TABLE x (id INT PRIMARY KEY, c INT)
->ENGINE=INNODB KEY_BLOCK_SIZE=33333;
ERROR 1005 (HY000): Can't create table 'test.x' (errno: 1478) mysql>SHOW ERRORS;
+-------+------+-------------------------------------------+ | Level | Code | Message | +-------+------+-------------------------------------------+ | Error | 1478 | InnoDB: invalid KEY_BLOCK_SIZE=33333. | | Error | 1005 | Can't create table 'test.x' (errno: 1478) | +-------+------+-------------------------------------------+
Table 15.14 CREATE/ALTER TABLE Warnings and Errors when InnoDB Strict Mode is OFF
Syntax | Warning or Error Condition | Resulting ROW_FORMAT , as shown in SHOW TABLE
STATUS |
---|---|---|
ROW_FORMAT=REDUNDANT |
None | REDUNDANT |
ROW_FORMAT=COMPACT |
None | COMPACT |
ROW_FORMAT=COMPRESSED or
ROW_FORMAT=DYNAMIC or
KEY_BLOCK_SIZE is specified |
Ignored for file-per-table tablespaces unless
innodb_file_per_table is
enabled. General tablespaces support all row formats. See
Section 15.6.3.3, “General Tablespaces”. |
the default row format for file-per-table tablespaces; the
specified row format for general tablespaces |
Invalid KEY_BLOCK_SIZE is specified (not 1, 2, 4, 8
or 16) |
KEY_BLOCK_SIZE is ignored |
the specified row format, or the default row format |
ROW_FORMAT=COMPRESSED and valid
KEY_BLOCK_SIZE are specified |
None; KEY_BLOCK_SIZE specified is used |
COMPRESSED |
KEY_BLOCK_SIZE is specified with
REDUNDANT , COMPACT
or DYNAMIC row format |
KEY_BLOCK_SIZE is ignored |
REDUNDANT , COMPACT or
DYNAMIC |
ROW_FORMAT is not one of
REDUNDANT , COMPACT ,
DYNAMIC or
COMPRESSED |
Ignored if recognized by the MySQL parser. Otherwise, an error is issued. | the default row format or N/A |
When innodb_strict_mode
is
ON
, MySQL rejects invalid
ROW_FORMAT
or
KEY_BLOCK_SIZE
parameters and issues errors.
Strict mode is ON
by default. When
innodb_strict_mode
is OFF
,
MySQL issues warnings instead of errors for ignored invalid
parameters.
It is not possible to see the chosen
KEY_BLOCK_SIZE
using SHOW TABLE
STATUS
. The statement SHOW CREATE
TABLE
displays the KEY_BLOCK_SIZE
(even if it was ignored when creating the table). The real
compressed page size of the table cannot be displayed by MySQL.
If FILE_BLOCK_SIZE
was not defined for
the general tablespace when the tablespace was created, the
tablespace cannot contain compressed tables. If you attempt
to add a compressed table, an error is returned, as shown in
the following example:
mysql>CREATE TABLESPACE `ts1` ADD DATAFILE 'ts1.ibd' Engine=InnoDB;
mysql>CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE ts1 ROW_FORMAT=COMPRESSED
KEY_BLOCK_SIZE=8;
ERROR 1478 (HY000): InnoDB: Tablespace `ts1` cannot contain a COMPRESSED table
Attempting to add a table with an invalid
KEY_BLOCK_SIZE
to a general tablespace
returns an error, as shown in the following example:
mysql>CREATE TABLESPACE `ts2` ADD DATAFILE 'ts2.ibd' FILE_BLOCK_SIZE = 8192 Engine=InnoDB;
mysql>CREATE TABLE t2 (c1 INT PRIMARY KEY) TABLESPACE ts2 ROW_FORMAT=COMPRESSED
KEY_BLOCK_SIZE=4;
ERROR 1478 (HY000): InnoDB: Tablespace `ts2` uses block size 8192 and cannot contain a table with physical page size 4096
For general tablespaces, the
KEY_BLOCK_SIZE
of the table must be equal
to the FILE_BLOCK_SIZE
of the tablespace
divided by 1024. For example, if the
FILE_BLOCK_SIZE
of the tablespace is
8192, the KEY_BLOCK_SIZE
of the table
must be 8.
Attempting to add a table with an uncompressed row format to a general tablespace configured to store compressed tables returns an error, as shown in the following example:
mysql>CREATE TABLESPACE `ts3` ADD DATAFILE 'ts3.ibd' FILE_BLOCK_SIZE = 8192 Engine=InnoDB;
mysql>CREATE TABLE t3 (c1 INT PRIMARY KEY) TABLESPACE ts3 ROW_FORMAT=COMPACT;
ERROR 1478 (HY000): InnoDB: Tablespace `ts3` uses block size 8192 and cannot contain a table with physical page size 16384
innodb_strict_mode
is not
applicable to general tablespaces. Tablespace management rules
for general tablespaces are strictly enforced independently of
innodb_strict_mode
. For more
information, see Section 13.1.21, “CREATE TABLESPACE Syntax”.
For more information about using compressed tables with general tablespaces, see Section 15.6.3.3, “General Tablespaces”.
InnoDB
supports page-level compression for
tables that reside in
file-per-table
tablespaces. This feature is referred to as Transparent
Page Compression. Page compression is enabled by
specifying the COMPRESSION
attribute with
CREATE TABLE
or
ALTER TABLE
. Supported compression
algorithms include Zlib
and
LZ4
.
Page compression requires sparse file and hole punching support. Page compression is supported on Windows with NTFS, and on the following subset of MySQL-supported Linux platforms where the kernel level provides hole punching support:
RHEL 7 and derived distributions that use kernel version 3.10.0-123 or higher
OEL 5.10 (UEK2) kernel version 2.6.39 or higher
OEL 6.5 (UEK3) kernel version 3.8.13 or higher
OEL 7.0 kernel version 3.8.13 or higher
SLE11 kernel version 3.0-x
SLE12 kernel version 3.12-x
OES11 kernel version 3.0-x
Ubuntu 14.0.4 LTS kernel version 3.13 or higher
Ubuntu 12.0.4 LTS kernel version 3.2 or higher
Debian 7 kernel version 3.2 or higher
All of the available file systems for a given Linux distribution may not support hole punching.
When a page is written, it is compressed using the specified compression algorithm. The compressed data is written to disk, where the hole punching mechanism releases empty blocks from the end of the page. If compression fails, data is written out as-is.
On Linux systems, the file system block size is the unit size used
for hole punching. Therefore, page compression only works if page
data can be compressed to a size that is less than or equal to the
InnoDB
page size minus the file system block
size. For example, if
innodb_page_size=16K
and the file
system block size is 4K, page data must compress to less than or
equal to 12K to make hole punching possible.
On Windows systems, the underlying infrastructure for sparse files is based on NTFS compression. Hole punching size is the NTFS compression unit, which is 16 times the NTFS cluster size. Cluster sizes and their compression units are shown in the following table:
Table 15.15 Windows NTFS Cluster Size and Compression Units
Cluster Size | Compression Unit |
---|---|
512 Bytes | 8 KB |
1 KB | 16 KB |
2 KB | 32 KB |
4 KB | 64 KB |
Page compression on Windows systems only works if page data can be
compressed to a size that is less than or equal to the
InnoDB
page size minus the compression unit
size.
The default NTFS cluster size is 4KB, for which the compression
unit size is 64KB. This means that page compression has no benefit
for an out-of-the box Windows NTFS configuration, as the maximum
innodb_page_size
is also 64KB.
For page compression to work on Windows, the file system must be
created with a cluster size smaller than 4K, and the
innodb_page_size
must be at least
twice the size of the compression unit. For example, for page
compression to work on Windows, you could build the file system
with a cluster size of 512 Bytes (which has a compression unit of
8KB) and initialize InnoDB
with an
innodb_page_size
value of 16K or
greater.
To enable page compression, specify the
COMPRESSION
attribute in the
CREATE TABLE
statement. For
example:
CREATE TABLE t1 (c1 INT) COMPRESSION="zlib";
You can also enable page compression in an
ALTER TABLE
statement. However,
ALTER TABLE ...
COMPRESSION
only updates the tablespace compression
attribute. Writes to the tablespace that occur after setting the
new compression algorithm use the new setting, but to apply the
new compression algorithm to existing pages, you must rebuild the
table using OPTIMIZE TABLE
.
ALTER TABLE t1 COMPRESSION="zlib"; OPTIMIZE TABLE t1;
To disable page compression, set
COMPRESSION=None
using
ALTER TABLE
. Writes to the
tablespace that occur after setting
COMPRESSION=None
no longer use page
compression. To uncompress existing pages, you must rebuild the
table using OPTIMIZE TABLE
after
setting COMPRESSION=None
.
ALTER TABLE t1 COMPRESSION="None"; OPTIMIZE TABLE t1;
Page compression metadata is found in the
INFORMATION_SCHEMA.INNODB_TABLESPACES
table, in the following columns:
FS_BLOCK_SIZE
: The file system block size,
which is the unit size used for hole punching.
FILE_SIZE
: The apparent size of the file,
which represents the maximum size of the file, uncompressed.
ALLOCATED_SIZE
: The actual size of the
file, which is the amount of space allocated on disk.
On Unix-like systems, ls -l
shows
the apparent file size (equivalent to
tablespace_name.ibd
FILE_SIZE
) in bytes. To view the actual
amount of space allocated on disk (equivalent to
ALLOCATED_SIZE
), use du
--block-size=1
. The
tablespace_name.ibd
--block-size=1
option prints the allocated
space in bytes instead of blocks, so that it can be compared to
ls -l
output.
Use SHOW CREATE TABLE
to view the
current page compression setting (Zlib
,
Lz4
, or None
). A table may
contain a mix of pages with different compression settings.
In the following example, page compression metadata for the
employees table is retrieved from the
INFORMATION_SCHEMA.INNODB_TABLESPACES
table.
# Create the employees table with Zlib page compression CREATE TABLE employees ( emp_no INT NOT NULL, birth_date DATE NOT NULL, first_name VARCHAR(14) NOT NULL, last_name VARCHAR(16) NOT NULL, gender ENUM ('M','F') NOT NULL, hire_date DATE NOT NULL, PRIMARY KEY (emp_no) ) COMPRESSION="zlib"; # Insert data (not shown) # Query page compression metadata in INFORMATION_SCHEMA.INNODB_TABLESPACES mysql>SELECT SPACE, NAME, FS_BLOCK_SIZE, FILE_SIZE, ALLOCATED_SIZE FROM
INFORMATION_SCHEMA.INNODB_TABLESPACES WHERE NAME='employees/employees'\G
*************************** 1. row *************************** SPACE: 45 NAME: employees/employees FS_BLOCK_SIZE: 4096 FILE_SIZE: 23068672 ALLOCATED_SIZE: 19415040
Page compression metadata for the employees table shows that the apparent file size is 23068672 bytes while the actual file size (with page compression) is 19415040 bytes. The file system block size is 4096 bytes, which is the block size used for hole punching.
Page compression is disabled if the file system block size (or
compression unit size on Windows) * 2 >
innodb_page_size
.
Page compression is not supported for tables that reside in shared tablespaces, which include the system tablespace, temporary tablespaces, and general tablespaces.
Page compression is not supported for undo log tablespaces.
Page compression is not supported for redo log pages.
R-tree pages, which are used for spatial indexes, are not compressed.
Pages that belong to compressed tables
(ROW_FORMAT=COMPRESSED
) are left as-is.
During recovery, updated pages are written out in an uncompressed form.
Loading a page-compressed tablespace on a server that does not support the compression algorithm that was used causes an I/O error.
Before downgrading to an earlier version of MySQL that does
not support page compression, uncompress the tables that use
the page compression feature. To uncompress a table, run
ALTER TABLE ...
COMPRESSION=None
and OPTIMIZE
TABLE
.
Page-compressed tablespaces can be copied between Linux and Windows servers if the compression algorithm that was used is available on both servers.
Preserving page compression when moving a page-compressed tablespace file from one host to another requires a utility that preserves sparse files.
Better page compression may be achieved on Fusion-io hardware with NVMFS than on other platforms, as NVMFS is designed to take advantage of punch hole functionality.
Using the page compression feature with a large
InnoDB
page size and relatively small file
system block size could result in write amplification. For
example, a maximum InnoDB
page size of 64KB
with a 4KB file system block size may improve compression but
may also increase demand on the buffer pool, leading to
increased I/O and potential write amplification.
The row format of a table determines how its rows are physically stored, which in turn can affect the performance of queries and DML operations. As more rows fit into a single disk page, queries and index lookups can work faster, less cache memory is required in the buffer pool, and less I/O is required to write out updated values.
The data in each table is divided into pages. The pages that make up each table are arranged in a tree data structure called a B-tree index. Table data and secondary indexes both use this type of structure. The B-tree index that represents an entire table is known as the clustered index, which is organized according to the primary key columns. The nodes of a clustered index data structure contain the values of all columns in the row. The nodes of a secondary index structure contain the values of index columns and primary key columns.
Variable-length columns are an exception to the rule that column values are stored in B-tree index nodes. Variable-length columns that are too long to fit on a B-tree page are stored on separately allocated disk pages called overflow pages. Such columns are referred to as off-page columns. The values of off-page columns are stored in singly-linked lists of overflow pages, with each such column having its own list of one or more overflow pages. Depending on column length, all or a prefix of variable-length column values are stored in the B-tree to avoid wasting storage and having to read a separate page.
The InnoDB
storage engine supports four row
formats: REDUNDANT
, COMPACT
,
DYNAMIC
, and COMPRESSED
.
Table 15.16 InnoDB Row Format Overview
Row Format | Compact Storage Characteristics | Enhanced Variable-Length Column Storage | Large Index Key Prefix Support | Compression Support | Supported Tablespace Types |
---|---|---|---|---|---|
REDUNDANT |
No | No | No | No | system, file-per-table, general |
COMPACT |
Yes | No | No | No | system, file-per-table, general |
DYNAMIC |
Yes | Yes | Yes | No | system, file-per-table, general |
COMPRESSED |
Yes | Yes | Yes | Yes | file-per-table, general |
The topics that follow describe row format storage characteristics and how to define and determine the row format of a table.
The REDUNDANT
format provides compatibility
with older versions of MySQL.
Tables that use the REDUNDANT
row format store
the first 768 bytes of variable-length column values
(VARCHAR
,
VARBINARY
, and
BLOB
and
TEXT
types) in the index record
within the B-tree node, with the remainder stored on overflow
pages. Fixed-length columns greater than or equal to 768 bytes are
encoded as variable-length columns, which can be stored off-page.
For example, a CHAR(255)
column can exceed 768
bytes if the maximum byte length of the character set is greater
than 3, as it is with utf8mb4
.
If the value of a column is 768 bytes or less, an overflow page is
not used, and some savings in I/O may result, since the value is
stored entirely in the B-tree node. This works well for relatively
short BLOB
column values, but may cause B-tree
nodes to fill with data rather than key values, reducing their
efficiency. Tables with many BLOB
columns could
cause B-tree nodes to become too full, and contain too few rows,
making the entire index less efficient than if rows were shorter
or column values were stored off-page.
The REDUNDANT
row format has the following
storage characteristics:
Each index record contains a 6-byte header. The header is used to link together consecutive records, and for row-level locking.
Records in the clustered index contain fields for all user-defined columns. In addition, there is a 6-byte transaction ID field and a 7-byte roll pointer field.
If no primary key is defined for a table, each clustered index record also contains a 6-byte row ID field.
Each secondary index record contains all the primary key columns defined for the clustered index key that are not in the secondary index.
A record contains a pointer to each field of the record. If the total length of the fields in a record is less than 128 bytes, the pointer is one byte; otherwise, two bytes. The array of pointers is called the record directory. The area where the pointers point is the data part of the record.
Internally, fixed-length character columns such as
CHAR(10)
in stored in
fixed-length format. Trailing spaces are not truncated from
VARCHAR
columns.
Fixed-length columns greater than or equal to 768 bytes are
encoded as variable-length columns, which can be stored
off-page. For example, a CHAR(255)
column
can exceed 768 bytes if the maximum byte length of the
character set is greater than 3, as it is with
utf8mb4
.
An SQL NULL
value reserves one or two bytes
in the record directory. An SQL NULL
value
reserves zero bytes in the data part of the record if stored
in a variable-length column. For a fixed-length column, the
fixed length of the column is reserved in the data part of the
record. Reserving fixed space for NULL
values permits columns to be updated in place from
NULL
to non-NULL
values
without causing index page fragmentation.
The COMPACT
row format reduces row storage
space by about 20% compared to the REDUNDANT
row format, at the cost of increasing CPU use for some operations.
If your workload is a typical one that is limited by cache hit
rates and disk speed, COMPACT
format is likely
to be faster. If the workload is limited by CPU speed, compact
format might be slower.
Tables that use the COMPACT
row format store
the first 768 bytes of variable-length column values
(VARCHAR
,
VARBINARY
, and
BLOB
and
TEXT
types) in the index record
within the B-tree node, with
the remainder stored on overflow pages. Fixed-length columns
greater than or equal to 768 bytes are encoded as variable-length
columns, which can be stored off-page. For example, a
CHAR(255)
column can exceed 768 bytes if the
maximum byte length of the character set is greater than 3, as it
is with utf8mb4
.
If the value of a column is 768 bytes or less, an overflow page is
not used, and some savings in I/O may result, since the value is
stored entirely in the B-tree node. This works well for relatively
short BLOB
column values, but may cause B-tree
nodes to fill with data rather than key values, reducing their
efficiency. Tables with many BLOB
columns could
cause B-tree nodes to become too full, and contain too few rows,
making the entire index less efficient than if rows were shorter
or column values were stored off-page.
The COMPACT
row format has the following
storage characteristics:
Each index record contains a 5-byte header that may be preceded by a variable-length header. The header is used to link together consecutive records, and for row-level locking.
The variable-length part of the record header contains a bit
vector for indicating NULL
columns. If the
number of columns in the index that can be
NULL
is N
, the
bit vector occupies
CEILING(
bytes. (For example, if there are anywhere from 9 to 16
columns that can be N
/8)NULL
, the bit vector
uses two bytes.) Columns that are NULL
do
not occupy space other than the bit in this vector. The
variable-length part of the header also contains the lengths
of variable-length columns. Each length takes one or two
bytes, depending on the maximum length of the column. If all
columns in the index are NOT NULL
and have
a fixed length, the record header has no variable-length part.
For each non-NULL
variable-length field,
the record header contains the length of the column in one or
two bytes. Two bytes are only needed if part of the column is
stored externally in overflow pages or the maximum length
exceeds 255 bytes and the actual length exceeds 127 bytes. For
an externally stored column, the 2-byte length indicates the
length of the internally stored part plus the 20-byte pointer
to the externally stored part. The internal part is 768 bytes,
so the length is 768+20. The 20-byte pointer stores the true
length of the column.
The record header is followed by the data contents of
non-NULL
columns.
Records in the clustered index contain fields for all user-defined columns. In addition, there is a 6-byte transaction ID field and a 7-byte roll pointer field.
If no primary key is defined for a table, each clustered index record also contains a 6-byte row ID field.
Each secondary index record contains all the primary key columns defined for the clustered index key that are not in the secondary index. If any of the primary key columns are variable length, the record header for each secondary index has a variable-length part to record their lengths, even if the secondary index is defined on fixed-length columns.
Internally, for nonvariable-length character sets,
fixed-length character columns such as
CHAR(10)
are stored in a
fixed-length format.
Trailing spaces are not truncated from
VARCHAR
columns.
Internally, for variable-length character sets such as
utf8mb3
and utf8mb4
,
InnoDB
attempts to store
CHAR(
in N
)N
bytes by trimming trailing
spaces. If the byte length of a
CHAR(
column value exceeds N
)N
bytes,
trailing spaces are trimmed to a minimum of the column value
byte length. The maximum length of a
CHAR(
column is the maximum character byte length ×
N
)N
.
A minimum of N
bytes is reserved
for
CHAR(
.
Reserving the minimum space N
)N
in
many cases enables column updates to be done in place without
causing index page fragmentation. By comparison,
CHAR(
columns occupy the maximum character byte length ×
N
)N
when using the
REDUNDANT
row format.
Fixed-length columns greater than or equal to 768 bytes are
encoded as variable-length fields, which can be stored
off-page. For example, a CHAR(255)
column
can exceed 768 bytes if the maximum byte length of the
character set is greater than 3, as it is with
utf8mb4
.
The DYNAMIC
row format offers the same storage
characteristics as the COMPACT
row format but
adds enhanced storage capabilities for long variable-length
columns and supports large index key prefixes.
When a table is created with
ROW_FORMAT=DYNAMIC
, InnoDB
can store long variable-length column values (for
VARCHAR
,
VARBINARY
, and
BLOB
and
TEXT
types) fully off-page, with
the clustered index record containing only a 20-byte pointer to
the overflow page. Fixed-length fields greater than or equal to
768 bytes are encoded as variable-length fields. For example, a
CHAR(255)
column can exceed 768 bytes if the
maximum byte length of the character set is greater than 3, as it
is with utf8mb4
.
Whether columns are stored off-page depends on the page size and
the total size of the row. When a row is too long, the longest
columns are chosen for off-page storage until the clustered index
record fits on the B-tree page.
TEXT
and
BLOB
columns that are less than or
equal to 40 bytes are stored in line.
The DYNAMIC
row format maintains the efficiency
of storing the entire row in the index node if it fits (as do the
COMPACT
and REDUNDANT
formats), but the DYNAMIC
row format avoids the
problem of filling B-tree nodes with a large number of data bytes
of long columns. The DYNAMIC
row format is
based on the idea that if a portion of a long data value is stored
off-page, it is usually most efficient to store the entire value
off-page. With DYNAMIC
format, shorter columns
are likely to remain in the B-tree node, minimizing the number of
overflow pages required for a given row.
The DYNAMIC
row format supports index key
prefixes up to 3072 bytes.
Tables that use the DYNAMIC
row format can be
stored in the system tablespace, file-per-table tablespaces, and
general tablespaces. To store DYNAMIC
tables in
the system tablespace, either disable
innodb_file_per_table
and use a
regular CREATE TABLE
or ALTER
TABLE
statement, or use the TABLESPACE [=]
innodb_system
table option with CREATE
TABLE
or ALTER TABLE
. The
innodb_file_per_table
variable is
not applicable to general tablespaces, nor is it applicable when
using the TABLESPACE [=] innodb_system
table
option to store DYNAMIC
tables in the system
tablespace.
The DYNAMIC
row format is a variation of the
COMPACT
row format. For storage
characteristics, see
COMPACT Row Format Storage Characteristics.
The COMPRESSED
row format offers the same
storage characteristics and capabilities as the
DYNAMIC
row format but adds support for table
and index data compression.
The COMPRESSED
row format uses similar internal
details for off-page storage as the DYNAMIC
row
format, with additional storage and performance considerations
from the table and index data being compressed and using smaller
page sizes. With the COMPRESSED
row format, the
KEY_BLOCK_SIZE
option controls how much column
data is stored in the clustered index, and how much is placed on
overflow pages. For more information about the
COMPRESSED
row format, see
Section 15.9, “InnoDB Table and Page Compression”.
The COMPRESSED
row format supports index key
prefixes up to 3072 bytes.
Tables that use the COMPRESSED
row format can
be created in file-per-table tablespaces or general tablespaces.
The system tablespace does not support the
COMPRESSED
row format. To store a
COMPRESSED
table in a file-per-table
tablespace, the
innodb_file_per_table
variable
must be enabled. The
innodb_file_per_table
variable is
not applicable to general tablespaces. General tablespaces support
all row formats with the caveat that compressed and uncompressed
tables cannot coexist in the same general tablespace due to
different physical page sizes. For more information, see
Section 15.6.3.3, “General Tablespaces”.
The COMPRESSED
row format is a variation of the
COMPACT
row format. For storage
characteristics, see
COMPACT Row Format Storage Characteristics.
The default row format for InnoDB
tables is
defined by
innodb_default_row_format
variable, which has a default value of DYNAMIC
.
The default row format is used when the
ROW_FORMAT
table option is not defined
explicitly or when ROW_FORMAT=DEFAULT
is
specified.
The row format of a table can be defined explicitly using the
ROW_FORMAT
table option in a
CREATE TABLE
or
ALTER TABLE
statement. For example:
CREATE TABLE t1 (c1 INT) ROW_FORMAT=DYNAMIC;
An explicitly defined ROW_FORMAT
setting
overrides the default row format. Specifying
ROW_FORMAT=DEFAULT
is equivalent to using the
implicit default.
The innodb_default_row_format
variable can be set dynamically:
mysql> SET GLOBAL innodb_default_row_format=DYNAMIC;
Valid innodb_default_row_format
options include DYNAMIC
,
COMPACT
, and REDUNDANT
. The
COMPRESSED
row format, which is not supported
for use in the system tablespace, cannot be defined as the
default. It can only be specified explicitly in a
CREATE TABLE
or
ALTER TABLE
statement. Attempting
to set the
innodb_default_row_format
variable to COMPRESSED
returns an error:
mysql> SET GLOBAL innodb_default_row_format=COMPRESSED;
ERROR 1231 (42000): Variable 'innodb_default_row_format'
can't be set to the value of 'COMPRESSED'
Newly created tables use the row format defined by the
innodb_default_row_format
variable when a ROW_FORMAT
option is not
specified explicitly, or when
ROW_FORMAT=DEFAULT
is used. For example, the
following CREATE TABLE
statements
use the row format defined by the
innodb_default_row_format
variable.
CREATE TABLE t1 (c1 INT);
CREATE TABLE t2 (c1 INT) ROW_FORMAT=DEFAULT;
When a ROW_FORMAT
option is not specified
explicitly, or when ROW_FORMAT=DEFAULT
is used,
an operation that rebuilds a table silently changes the row format
of the table to the format defined by the
innodb_default_row_format
variable.
Table-rebuilding operations include ALTER
TABLE
operations that use
ALGORITHM=COPY
or
ALGORITHM=INPLACE
where table rebuilding is
required. See Section 15.12.1, “Online DDL Operations” for
more information. OPTIMIZE TABLE
is
also a table-rebuilding operation.
The following example demonstrates a table-rebuilding operation that silently changes the row format of a table created without an explicitly defined row format.
mysql>SELECT @@innodb_default_row_format;
+-----------------------------+ | @@innodb_default_row_format | +-----------------------------+ | dynamic | +-----------------------------+ mysql>CREATE TABLE t1 (c1 INT);
mysql>SELECT * FROM INFORMATION_SCHEMA.INNODB_TABLES WHERE NAME LIKE 'test/t1' \G
*************************** 1. row *************************** TABLE_ID: 54 NAME: test/t1 FLAG: 33 N_COLS: 4 SPACE: 35 ROW_FORMAT: Dynamic ZIP_PAGE_SIZE: 0 SPACE_TYPE: Single mysql>SET GLOBAL innodb_default_row_format=COMPACT;
mysql>ALTER TABLE t1 ADD COLUMN (c2 INT);
mysql>SELECT * FROM INFORMATION_SCHEMA.INNODB_TABLES WHERE NAME LIKE 'test/t1' \G
*************************** 1. row *************************** TABLE_ID: 55 NAME: test/t1 FLAG: 1 N_COLS: 5 SPACE: 36 ROW_FORMAT: Compact ZIP_PAGE_SIZE: 0 SPACE_TYPE: Single
Consider the following potential issues before changing the row
format of existing tables from REDUNDANT
or
COMPACT
to DYNAMIC
.
The REDUNDANT
and
COMPACT
row formats support a maximum index
key prefix length of 767 bytes whereas
DYNAMIC
and COMPRESSED
row formats support an index key prefix length of 3072 bytes.
In a replication environment, if the
innodb_default_row_format
variable is set to DYNAMIC
on the master,
and set to COMPACT
on the slave, the
following DDL statement, which does not explicitly define a
row format, succeeds on the master but fails on the slave:
CREATE TABLE t1 (c1 INT PRIMARY KEY, c2 VARCHAR(5000), KEY i1(c2(3070)));
For related information, see Section 15.6.1.6, “Limits on InnoDB Tables”.
Importing a table that does not explicitly define a row format
results in a schema mismatch error if the
innodb_default_row_format
setting on the source server differs from the setting on the
destination server. For more information, refer to the
limitations outlined in Section 15.6.3.7, “Copying Tablespaces to Another Instance”.
To determine the row format of a table, use
SHOW TABLE STATUS
:
mysql> SHOW TABLE STATUS IN test1\G
*************************** 1. row ***************************
Name: t1
Engine: InnoDB
Version: 10
Row_format: Dynamic
Rows: 0
Avg_row_length: 0
Data_length: 16384
Max_data_length: 0
Index_length: 16384
Data_free: 0
Auto_increment: 1
Create_time: 2016-09-14 16:29:38
Update_time: NULL
Check_time: NULL
Collation: utf8mb4_0900_ai_ci
Checksum: NULL
Create_options:
Comment:
Alternatively, query the
INFORMATION_SCHEMA.INNODB_TABLES
table:
mysql> SELECT NAME, ROW_FORMAT FROM INFORMATION_SCHEMA.INNODB_TABLES WHERE NAME='test1/t1';
+----------+------------+
| NAME | ROW_FORMAT |
+----------+------------+
| test1/t1 | Dynamic |
+----------+------------+
As a DBA, you must manage disk I/O to keep the I/O subsystem from
becoming saturated, and manage disk space to avoid filling up
storage devices. The ACID design
model requires a certain amount of I/O that might seem redundant,
but helps to ensure data reliability. Within these constraints,
InnoDB
tries to optimize the database work and
the organization of disk files to minimize the amount of disk I/O.
Sometimes, I/O is postponed until the database is not busy, or until
everything needs to be brought to a consistent state, such as during
a database restart after a fast
shutdown.
This section discusses the main considerations for I/O and disk
space with the default kind of MySQL tables (also known as
InnoDB
tables):
Controlling the amount of background I/O used to improve query performance.
Enabling or disabling features that provide extra durability at the expense of additional I/O.
Organizing tables into many small files, a few larger files, or a combination of both.
Balancing the size of redo log files against the I/O activity that occurs when the log files become full.
How to reorganize a table for optimal query performance.
InnoDB
uses asynchronous disk I/O where
possible, by creating a number of threads to handle I/O
operations, while permitting other database operations to proceed
while the I/O is still in progress. On Linux and Windows
platforms, InnoDB
uses the available OS and
library functions to perform “native” asynchronous
I/O. On other platforms, InnoDB
still uses I/O
threads, but the threads may actually wait for I/O requests to
complete; this technique is known as “simulated”
asynchronous I/O.
If InnoDB
can determine there is a high
probability that data might be needed soon, it performs
read-ahead operations to bring that data into the buffer pool so
that it is available in memory. Making a few large read requests
for contiguous data can be more efficient than making several
small, spread-out requests. There are two read-ahead heuristics
in InnoDB
:
In sequential read-ahead, if InnoDB
notices that the access pattern to a segment in the
tablespace is sequential, it posts in advance a batch of
reads of database pages to the I/O system.
In random read-ahead, if InnoDB
notices
that some area in a tablespace seems to be in the process of
being fully read into the buffer pool, it posts the
remaining reads to the I/O system.
For information about configuring read-ahead heuristics, see Section 15.8.3.4, “Configuring InnoDB Buffer Pool Prefetching (Read-Ahead)”.
InnoDB
uses a novel file flush technique
involving a structure called the
doublewrite
buffer, which is enabled by default in most cases
(innodb_doublewrite=ON
). It
adds safety to recovery following a crash or power outage, and
improves performance on most varieties of Unix by reducing the
need for fsync()
operations.
Before writing pages to a data file, InnoDB
first writes them to a contiguous tablespace area called the
doublewrite buffer. Only after the write and the flush to the
doublewrite buffer has completed does InnoDB
write the pages to their proper positions in the data file. If
there is an operating system, storage subsystem, or
mysqld process crash in the middle of a page
write (causing a torn page
condition), InnoDB
can later find a good copy
of the page from the doublewrite buffer during recovery.
If system tablespace files (“ibdata files”) are
located on Fusion-io devices that support atomic writes,
doublewrite buffering is automatically disabled and Fusion-io
atomic writes are used for all data files. Because the
doublewrite buffer setting is global, doublewrite buffering is
also disabled for data files residing on non-Fusion-io hardware.
This feature is only supported on Fusion-io hardware and is only
enabled for Fusion-io NVMFS on Linux. To take full advantage of
this feature, an
innodb_flush_method
setting of
O_DIRECT
is recommended.
The data files that you define in the configuration file using the
innodb_data_file_path
configuration option form the InnoDB
system tablespace.
The files are logically concatenated to form the system
tablespace. There is no striping in use. You cannot define where
within the system tablespace your tables are allocated. In a newly
created system tablespace, InnoDB
allocates
space starting from the first data file.
To avoid the issues that come with storing all tables and indexes
inside the system tablespace, you can enable the
innodb_file_per_table
configuration option (the default), which stores each newly
created table in a separate tablespace file (with extension
.ibd
). For tables stored this way, there is
less fragmentation within the disk file, and when the table is
truncated, the space is returned to the operating system rather
than still being reserved by InnoDB within the system tablespace.
For more information, see
Section 15.6.3.2, “File-Per-Table Tablespaces”.
You can also store tables in
general
tablespaces. General tablespaces are shared tablespaces
created using CREATE TABLESPACE
syntax. They can be created outside of the MySQL data directory,
are capable of holding multiple tables, and support tables of all
row formats. For more information, see
Section 15.6.3.3, “General Tablespaces”.
Each tablespace consists of database
pages. Every tablespace in a
MySQL instance has the same page
size. By default, all tablespaces have a page size of 16KB;
you can reduce the page size to 8KB or 4KB by specifying the
innodb_page_size
option when you
create the MySQL instance. You can also increase the page size to
32KB or 64KB. For more information, refer to the
innodb_page_size
documentation.
The pages are grouped into
extents of size 1MB for pages
up to 16KB in size (64 consecutive 16KB pages, or 128 8KB pages,
or 256 4KB pages). For a page size of 32KB, extent size is 2MB.
For page size of 64KB, extent size is 4MB. The
“files” inside a tablespace are called
segments in
InnoDB
. (These segments are different from the
rollback segment,
which actually contains many tablespace segments.)
When a segment grows inside the tablespace,
InnoDB
allocates the first 32 pages to it one
at a time. After that, InnoDB
starts to
allocate whole extents to the segment. InnoDB
can add up to 4 extents at a time to a large segment to ensure
good sequentiality of data.
Two segments are allocated for each index in
InnoDB
. One is for nonleaf nodes of the
B-tree, the other is for the
leaf nodes. Keeping the leaf nodes contiguous on disk enables
better sequential I/O operations, because these leaf nodes contain
the actual table data.
Some pages in the tablespace contain bitmaps of other pages, and
therefore a few extents in an InnoDB
tablespace
cannot be allocated to segments as a whole, but only as individual
pages.
When you ask for available free space in the tablespace by issuing
a SHOW TABLE STATUS
statement,
InnoDB
reports the extents that are definitely
free in the tablespace. InnoDB
always reserves
some extents for cleanup and other internal purposes; these
reserved extents are not included in the free space.
When you delete data from a table, InnoDB
contracts the corresponding B-tree indexes. Whether the freed
space becomes available for other users depends on whether the
pattern of deletes frees individual pages or extents to the
tablespace. Dropping a table or deleting all rows from it is
guaranteed to release the space to other users, but remember that
deleted rows are physically removed only by the
purge operation, which happens
automatically some time after they are no longer needed for
transaction rollbacks or consistent reads. (See
Section 15.3, “InnoDB Multi-Versioning”.)
The maximum row length is slightly less than half a database page
for 4KB, 8KB, 16KB, and 32KB
innodb_page_size
settings. For
example, the maximum row length is slightly less than 8KB for the
default 16KB InnoDB
page size. For 64KB pages,
the maximum row length is slightly less than 16KB.
If a row does not exceed the maximum row length, all of it is stored locally within the page. If a row exceeds the maximum row length, variable-length columns are chosen for external off-page storage until the row fits within the maximum row length limit. External off-page storage for variable-length columns differs by row format:
COMPACT and REDUNDANT Row Formats
When a variable-length column is chosen for external off-page
storage, InnoDB
stores the first 768 bytes
locally in the row, and the rest externally into overflow
pages. Each such column has its own list of overflow pages.
The 768-byte prefix is accompanied by a 20-byte value that
stores the true length of the column and points into the
overflow list where the rest of the value is stored. See
Section 15.10, “InnoDB Row Formats”.
DYNAMIC and COMPRESSED Row Formats
When a variable-length column is chosen for external off-page
storage, InnoDB
stores a 20-byte pointer
locally in the row, and the rest externally into overflow
pages. See Section 15.10, “InnoDB Row Formats”.
LONGBLOB
and
LONGTEXT
columns
must be less than 4GB, and the total row length, including
BLOB
and
TEXT
columns, must be less than
4GB.
Making your log files very large may reduce disk I/O during checkpointing. It often makes sense to set the total size of the log files as large as the buffer pool or even larger.
InnoDB
implements a
checkpoint mechanism known
as fuzzy
checkpointing. InnoDB
flushes modified
database pages from the buffer pool in small batches. There is no
need to flush the buffer pool in one single batch, which would
disrupt processing of user SQL statements during the checkpointing
process.
During crash recovery,
InnoDB
looks for a checkpoint label written to
the log files. It knows that all modifications to the database
before the label are present in the disk image of the database.
Then InnoDB
scans the log files forward from
the checkpoint, applying the logged modifications to the database.
Random insertions into or deletions from a secondary index can cause the index to become fragmented. Fragmentation means that the physical ordering of the index pages on the disk is not close to the index ordering of the records on the pages, or that there are many unused pages in the 64-page blocks that were allocated to the index.
One symptom of fragmentation is that a table takes more space than
it “should” take. How much that is exactly, is
difficult to determine. All InnoDB
data and
indexes are stored in B-trees,
and their fill factor may
vary from 50% to 100%. Another symptom of fragmentation is that a
table scan such as this takes more time than it
“should” take:
SELECT COUNT(*) FROM t WHERE non_indexed_column
<> 12345;
The preceding query requires MySQL to perform a full table scan, the slowest type of query for a large table.
To speed up index scans, you can periodically perform a
“null” ALTER TABLE
operation, which causes MySQL to rebuild the table:
ALTER TABLE tbl_name
ENGINE=INNODB
You can also use
ALTER TABLE
to perform a
“null” alter operation that rebuilds the table.
tbl_name
FORCE
Both ALTER TABLE
and
tbl_name
ENGINE=INNODBALTER TABLE
use
online DDL. For more
information, see Section 15.12, “InnoDB and Online DDL”.
tbl_name
FORCE
Another way to perform a defragmentation operation is to use mysqldump to dump the table to a text file, drop the table, and reload it from the dump file.
If the insertions into an index are always ascending and records
are deleted only from the end, the InnoDB
filespace management algorithm guarantees that fragmentation in
the index does not occur.
To reclaim operating system disk space when
truncating an
InnoDB
table, the table must be stored in its
own .ibd file. For a table to
be stored in its own .ibd
file, innodb_file_per_table
must
enabled when the table is created. Additionally, there cannot be a
foreign key constraint
between the table being truncated and other tables, otherwise the
TRUNCATE TABLE
operation fails. A foreign key
constraint between two columns in the same table, however, is
permitted.
When a table is truncated, it is dropped and re-created in a new
.ibd
file, and the freed space is returned to
the operating system. This is in contrast to truncating
InnoDB
tables that are stored within the
InnoDB
system tablespace
(tables created when innodb_file_per_table=OFF
)
and tables stored in shared
general
tablespaces, where only InnoDB
can use
the freed space after the table is truncated.
The ability to truncate tables and return disk space to the
operating system also means that
physical backups can
be smaller. Truncating tables that are stored in the system
tablespace (tables created when
innodb_file_per_table=OFF
) or in a general
tablespace leaves blocks of unused space in the tablespace.
The online DDL feature provides support for instant and in-place table alterations and concurrent DML. Benefits of this feature include:
Improved responsiveness and availability in busy production environments, where making a table unavailable for minutes or hours is not practical.
For in-place operations, the ability to adjust the balance
between performance and concurrency during DDL operations using
the LOCK
clause. See
The LOCK clause.
Less disk space usage and I/O overhead than the table-copy method.
ALGORITHM=INSTANT
support is available for
ADD COLUMN
and other operations in MySQL
8.0.12.
Typically, you do not need to do anything special to enable online DDL. By default, MySQL performs the operation instantly or in place, as permitted, with as little locking as possible.
You can control aspects of a DDL operation using the
ALGORITHM
and LOCK
clauses of
the ALTER TABLE
statement. These
clauses are placed at the end of the statement, separated from the
table and column specifications by commas. For example:
ALTER TABLEtbl_name
ADD PRIMARY KEY (column
), ALGORITHM=INPLACE, LOCK=NONE;
The LOCK
clause may be used for operations that
are performed in place and is useful for fine-tuning the degree of
concurrent access to the table during operations. Only
LOCK=DEFAULT
is supported for operations that are
performed instantly. The ALGORITHM
clause is
primarily intended for performance comparisons and as a fallback to
the older table-copying behavior in case you encounter any issues.
For example:
To avoid accidentally making the table unavailable for reads,
writes, or both, during an in-place ALTER
TABLE
operation, specify a clause on the
ALTER TABLE
statement such as
LOCK=NONE
(permit reads and writes) or
LOCK=SHARED
(permit reads). The operation
halts immediately if the requested level of concurrency is not
available.
To compare performance between algorithms, run a statement with
ALGORITHM=INSTANT
,
ALGORITHM=INPLACE
and
ALGORITHM=COPY
. You can also run a statement
with the old_alter_table
configuration option enabled to force the use of
ALGORITHM=COPY
.
To avoid tying up the server with an ALTER
TABLE
operation that copies the table, include
ALGORITHM=INSTANT
or
ALGORITHM=INPLACE
. The statement halts
immediately if it cannot use the specified algorithm.
Online support details, syntax examples, and usage notes for DDL operations are provided under the following topics in this section.
The following table provides an overview of online DDL support for index operations. An asterisk indicates additional information, an exception, or a dependency. For details, see Syntax and Usage Notes.
Table 15.17 Online DDL Support for Index Operations
Operation | Instant | In Place | Rebuilds Table | Permits Concurrent DML | Only Modifies Metadata |
---|---|---|---|---|---|
Creating or adding a secondary index | No | Yes | No | Yes | No |
Dropping an index | No | Yes | No | Yes | Yes |
Renaming an index | No | Yes | No | Yes | Yes |
Adding a FULLTEXT index |
No | Yes* | No* | No | No |
Adding a SPATIAL index |
No | Yes | No | No | No |
Changing the index type | Yes | Yes | No | Yes | Yes |
Creating or adding a secondary index
CREATE INDEXname
ONtable
(col_list
);
ALTER TABLEtbl_name
ADD INDEXname
(col_list
);
The table remains available for read and write operations
while the index is being created. The
CREATE INDEX
statement only
finishes after all transactions that are accessing the table
are completed, so that the initial state of the index
reflects the most recent contents of the table.
Online DDL support for adding secondary indexes means that you can generally speed the overall process of creating and loading a table and associated indexes by creating the table without secondary indexes, then adding secondary indexes after the data is loaded.
A newly created secondary index contains only the committed
data in the table at the time the
CREATE INDEX
or
ALTER TABLE
statement
finishes executing. It does not contain any uncommitted
values, old versions of values, or values marked for
deletion but not yet removed from the old index.
Some factors affect the performance, space usage, and semantics of this operation. For details, see Section 15.12.6, “Online DDL Limitations”.
Dropping an index
DROP INDEXname
ONtable
;
ALTER TABLEtbl_name
DROP INDEXname
;
The table remains available for read and write operations
while the index is being dropped. The
DROP INDEX
statement only
finishes after all transactions that are accessing the table
are completed, so that the initial state of the index
reflects the most recent contents of the table.
Renaming an index
ALTER TABLEtbl_name
RENAME INDEXold_index_name
TOnew_index_name
, ALGORITHM=INPLACE, LOCK=NONE;
Adding a FULLTEXT
index
CREATE FULLTEXT INDEXname
ON table(column
);
Adding the first FULLTEXT
index rebuilds
the table if there is no user-defined
FTS_DOC_ID
column. Additional
FULLTEXT
indexes may be added without
rebuilding the table.
Adding a SPATIAL
index
CREATE TABLE geom (g GEOMETRY NOT NULL); ALTER TABLE geom ADD SPATIAL INDEX(g), ALGORITHM=INPLACE, LOCK=SHARED;
Adding the first FULLTEXT
index rebuilds
the table if there is no user-defined
FTS_DOC_ID
column. Additional
FULLTEXT
indexes may be added without
rebuilding the table.
Changing the index type (USING {BTREE |
HASH}
)
ALTER TABLEtbl_name
DROP INDEX i1, ADD INDEX i1(key_part,...
) USING BTREE, ALGORITHM=INSTANT;
The following table provides an overview of online DDL support for primary key operations. An asterisk indicates additional information, an exception, or a dependency. See Syntax and Usage Notes.
Table 15.18 Online DDL Support for Primary Key Operations
Operation | Instant | In Place | Rebuilds Table | Permits Concurrent DML | Only Modifies Metadata |
---|---|---|---|---|---|
Adding a primary key | No | Yes* | Yes* | Yes | No |
Dropping a primary key | No | No | Yes | No | No |
Dropping a primary key and adding another | No | Yes | Yes | Yes | No |
Adding a primary key
ALTER TABLEtbl_name
ADD PRIMARY KEY (column
), ALGORITHM=INPLACE, LOCK=NONE;
Rebuilds the table in place. Data is reorganized
substantially, making it an expensive operation.
ALGORITHM=INPLACE
is not permitted under
certain conditions if columns have to be converted to
NOT NULL
.
Restructuring the
clustered index
always requires copying of table data. Thus, it is best to
define the primary
key when you create a table, rather than issuing
ALTER TABLE ... ADD PRIMARY KEY
later.
When you create a UNIQUE
or
PRIMARY KEY
index, MySQL must do some
extra work. For UNIQUE
indexes, MySQL
checks that the table contains no duplicate values for the
key. For a PRIMARY KEY
index, MySQL also
checks that none of the PRIMARY KEY
columns contains a NULL
.
When you add a primary key using the
ALGORITHM=COPY
clause, MySQL converts
NULL
values in the associated columns to
default values: 0 for numbers, an empty string for
character-based columns and BLOBs, and 0000-00-00 00:00:00
for DATETIME
. This is a non-standard
behavior that Oracle recommends you not rely on. Adding a
primary key using ALGORITHM=INPLACE
is
only permitted when the
SQL_MODE
setting includes
the strict_trans_tables
or
strict_all_tables
flags; when the
SQL_MODE
setting is strict,
ALGORITHM=INPLACE
is permitted, but the
statement can still fail if the requested primary key
columns contain NULL
values. The
ALGORITHM=INPLACE
behavior is more
standard-compliant.
If you create a table without a primary key,
InnoDB
chooses one for you, which can be
the first UNIQUE
key defined on
NOT NULL
columns, or a system-generated
key. To avoid uncertainty and the potential space
requirement for an extra hidden column, specify the
PRIMARY KEY
clause as part of the
CREATE TABLE
statement.
MySQL creates a new clustered index by copying the existing data from the original table to a temporary table that has the desired index structure. Once the data is completely copied to the temporary table, the original table is renamed with a different temporary table name. The temporary table comprising the new clustered index is renamed with the name of the original table, and the original table is dropped from the database.
The online performance enhancements that apply to operations on secondary indexes do not apply to the primary key index. The rows of an InnoDB table are stored in a clustered index organized based on the primary key, forming what some database systems call an “index-organized table”. Because the table structure is closely tied to the primary key, redefining the primary key still requires copying the data.
When an operation on the primary key uses
ALGORITHM=INPLACE
, even though the data
is still copied, it is more efficient than using
ALGORITHM=COPY
because:
No undo logging or associated redo logging is required
for ALGORITHM=INPLACE
. These
operations add overhead to DDL statements that use
ALGORITHM=COPY
.
The secondary index entries are pre-sorted, and so can be loaded in order.
The change buffer is not used, because there are no random-access inserts into the secondary indexes.
Dropping a primary key
ALTER TABLE tbl_name
DROP PRIMARY KEY, ALGORITHM=COPY;
Only ALGORITHM=COPY
supports dropping a
primary key without adding a new one in the same
ALTER TABLE
statement.
Dropping a primary key and adding another
ALTER TABLEtbl_name
DROP PRIMARY KEY, ADD PRIMARY KEY (column
), ALGORITHM=INPLACE, LOCK=NONE;
Data is reorganized substantially, making it an expensive operation.
The following table provides an overview of online DDL support for column operations. An asterisk indicates additional information, an exception, or a dependency. For details, see Syntax and Usage Notes.
Table 15.19 Online DDL Support for Column Operations
Operation | Instant | In Place | Rebuilds Table | Permits Concurrent DML | Only Modifies Metadata |
---|---|---|---|---|---|
Adding a column | Yes* | Yes | No* | Yes* | No |
Dropping a column | No | Yes | Yes | Yes | No |
Renaming a column | No | Yes | No | Yes* | Yes |
Reordering columns | No | Yes | Yes | Yes | No |
Setting a column default value | Yes | Yes | No | Yes | Yes |
Changing the column data type | No | No | Yes | No | No |
Extending VARCHAR column size |
No | Yes | No | Yes | Yes |
Dropping the column default value | Yes | Yes | No | Yes | Yes |
Changing the auto-increment value | No | Yes | No | Yes | No* |
Making a column NULL |
No | Yes | Yes* | Yes | No |
Making a column NOT NULL |
No | Yes* | Yes* | Yes | No |
Modifying the definition of an ENUM or
SET column |
Yes | Yes | No | Yes | Yes |
Adding a column
ALTER TABLEtbl_name
ADD COLUMNcolumn_name
column_definition
, ALGORITHM=INSTANT;
The following limitations apply when the
INSTANT
algorithm is used to add a
column:
Adding a column cannot be combined in the same statement
with other ALTER TABLE
actions that
do not support ALGORITHM=INSTANT
.
A column can only be added as the last column of the table. Adding a column to any other position among other columns is not supported.
Columns cannot be added to tables that use
ROW_FORMAT=COMPRESSED
.
Columns cannot be added to tables that include a
FULLTEXT
index.
Columns cannot be added to temporary tables. Temporary
tables only support ALGORITHM=COPY
.
Columns cannot be added to tables that reside in the data dictionary tablespace.
Row size limits are not evaluated when adding a column. However, row size limits are checked during DML operations that insert and update rows in the table.
Multiple columns may be added in the same
ALTER TABLE
statement. For
example:
ALTER TABLE t1 ADD COLUMN c2 INT, ADD COLUMN c3 INT, ALGORITHM=INSTANT;
INFORMATION_SCHEMA.INNODB_TABLES
and
INFORMATION_SCHEMA.INNODB_COLUMNS
provide metadata for instantly added columns.
INFORMATION_SCHEMA.INNODB_TABLES.INSTANT_COLS
shows number of columns in the table prior to adding the
first instant column.
INFORMATION_SCHEMA.INNODB_COLUMNS.HAS_DEFAULT
and DEFAULT_VALUE
provide metadata about
default values for instantly added columns.
Concurrent DML is not permitted when adding an
auto-increment
column. Data is reorganized substantially, making it an
expensive operation. At a minimum,
ALGORITHM=INPLACE, LOCK=SHARED
is
required.
The table is rebuilt if ALGORITHM=INPLACE
is used to add a column.
Dropping a column
ALTER TABLEtbl_name
DROP COLUMNcolumn_name
, ALGORITHM=INPLACE, LOCK=NONE;
Data is reorganized substantially, making it an expensive operation.
Renaming a column
ALTER TABLEtbl
CHANGEold_col_name
new_col_name
data_type
, ALGORITHM=INPLACE, LOCK=NONE;
To permit concurrent DML, keep the same data type and only change the column name.
When you keep the same data type and [NOT]
NULL
attribute, only changing the column name, the
operation can always be performed online.
You can also rename a column that is part of a foreign key
constraint. The foreign key definition is automatically
updated to use the new column name. Renaming a column
participating in a foreign key only works with
ALGORITHM=INPLACE
. If you use the
ALGORITHM=COPY
clause, or some other
condition causes the command to use
ALGORITHM=COPY
behind the scenes, the
ALTER TABLE
statement fails.
ALGORITHM=INPLACE
is not supported for
renaming a generated
column.
Reordering columns
To reorder columns, use FIRST
or
AFTER
in CHANGE
or
MODIFY
operations.
ALTER TABLEtbl_name
MODIFY COLUMNcol_name
column_definition
FIRST, ALGORITHM=INPLACE, LOCK=NONE;
Data is reorganized substantially, making it an expensive operation.
Changing the column data type
ALTER TABLE tbl_name
CHANGE c1 c1 BIGINT, ALGORITHM=COPY;
Changing the column data type is only supported with
ALGORITHM=COPY
.
Extending VARCHAR
column size
ALTER TABLE tbl_name
CHANGE COLUMN c1 c1 VARCHAR(255), ALGORITHM=INPLACE, LOCK=NONE;
The number of length bytes required by a
VARCHAR
column must remain
the same. For VARCHAR
columns
of 0 to 255 bytes in size, one length byte is required to
encode the value. For VARCHAR
columns of 256 bytes in size or more, two length bytes are
required. As a result, in-place ALTER
TABLE
only supports increasing
VARCHAR
column size from 0 to
255 bytes, or from 256 bytes to a greater size. In-place
ALTER TABLE
does not support
increasing the size of a
VARCHAR
column from less than
256 bytes to a size equal to or greater than 256 bytes. In
this case, the number of required length bytes changes from
1 to 2, which is only supported by a table copy
(ALGORITHM=COPY
). For example, attempting
to change VARCHAR
column size
for a single byte character set from VARCHAR(255) to
VARCHAR(256) using in-place ALTER
TABLE
returns this error:
ALTER TABLE tbl_name
ALGORITHM=INPLACE, CHANGE COLUMN c1 c1 VARCHAR(256);
ERROR 0A000: ALGORITHM=INPLACE is not supported. Reason: Cannot change
column type INPLACE. Try ALGORITHM=COPY.
The byte length of a VARCHAR
column is
dependant on the byte length of the character set.
Decreasing VARCHAR
size using
in-place ALTER TABLE
is not
supported. Decreasing VARCHAR
size requires a table copy
(ALGORITHM=COPY
).
Setting a column default value
ALTER TABLEtbl_name
ALTER COLUMNcol
SET DEFAULTliteral
, ALGORITHM=INSTANT;
Only modifies table metadata. Default column values are stored in the data dictionary.
Dropping a column default value
ALTER TABLEtbl
ALTER COLUMNcol
DROP DEFAULT, ALGORITHM=INSTANT;
Changing the auto-increment value
ALTER TABLEtable
AUTO_INCREMENT=next_value
, ALGORITHM=INPLACE, LOCK=NONE;
Modifies a value stored in memory, not the data file.
In a distributed system using replication or sharding, you sometimes reset the auto-increment counter for a table to a specific value. The next row inserted into the table uses the specified value for its auto-increment column. You might also use this technique in a data warehousing environment where you periodically empty all the tables and reload them, and restart the auto-increment sequence from 1.
Making a column NULL
ALTER TABLE tbl_name MODIFY COLUMNcolumn_name
data_type
NULL, ALGORITHM=INPLACE, LOCK=NONE;
Rebuilds the table in place. Data is reorganized substantially, making it an expensive operation.
Making a column NOT NULL
ALTER TABLEtbl_name
MODIFY COLUMNcolumn_name
data_type
NOT NULL, ALGORITHM=INPLACE, LOCK=NONE;
Rebuilds the table in place.
STRICT_ALL_TABLES
or
STRICT_TRANS_TABLES
SQL_MODE
is required for
the operation to succeed. The operation fails if the column
contains NULL values. The server prohibits changes to
foreign key columns that have the potential to cause loss of
referential integrity. See Section 13.1.9, “ALTER TABLE Syntax”.
Data is reorganized substantially, making it an expensive
operation.
Modifying the definition of an ENUM
or
SET
column
CREATE TABLE t1 (c1 ENUM('a', 'b', 'c')); ALTER TABLE t1 MODIFY COLUMN c1 ENUM('a', 'b', 'c', 'd'), ALGORITHM=INSTANT;
Modifying the definition of an
ENUM
or
SET
column by adding new
enumeration or set members to the end
of the list of valid member values may be performed
instantly or in place, as long as the storage size of the
data type does not change. For example, adding a member to a
SET
column that has 8 members
changes the required storage per value from 1 byte to 2
bytes; this requires a table copy. Adding members in the
middle of the list causes renumbering of existing members,
which requires a table copy.
The following table provides an overview of online DDL support for generated column operations. For details, see Syntax and Usage Notes.
Table 15.20 Online DDL Support for Generated Column Operations
Operation | Instant | In Place | Rebuilds Table | Permits Concurrent DML | Only Modifies Metadata |
---|---|---|---|---|---|
Adding a STORED column |
No | No | Yes | No | No |
Modifying STORED column order |
No | No | Yes | No | No |
Dropping a STORED column |
No | Yes | Yes | Yes | No |
Adding a VIRTUAL column |
Yes | Yes | No | Yes | Yes |
Modifying VIRTUAL column order |
No | No | Yes | No | No |
Dropping a VIRTUAL column |
Yes | Yes | No | Yes | Yes |
Adding a STORED
column
ALTER TABLE t1 ADD COLUMN (c2 INT GENERATED ALWAYS AS (c1 + 1) STORED), ALGORITHM=COPY;
ADD COLUMN
is not an in-place operation
for stored columns (done without using a temporary table)
because the expression must be evaluated by the server.
Modifying STORED
column order
ALTER TABLE t1 MODIFY COLUMN c2 INT GENERATED ALWAYS AS (c1 + 1) STORED FIRST, ALGORITHM=COPY;
Rebuilds the table in place.
Dropping a STORED
column
ALTER TABLE t1 DROP COLUMN c2, ALGORITHM=INPLACE, LOCK=NONE;
Rebuilds the table in place.
Adding a VIRTUAL
column
ALTER TABLE t1 ADD COLUMN (c2 INT GENERATED ALWAYS AS (c1 + 1) VIRTUAL), ALGORITHM=INSTANT;
Adding a virtual column can be performed instantly or in place for non-partitioned tables.
Adding a VIRTUAL
is not an in-place
operation for partitioned tables.
Modifying VIRTUAL
column order
ALTER TABLE t1 MODIFY COLUMN c2 INT GENERATED ALWAYS AS (c1 + 1) VIRTUAL FIRST, ALGORITHM=COPY;
Dropping a VIRTUAL
column
ALTER TABLE t1 DROP COLUMN c2, ALGORITHM=INSTANT;
Dropping a VIRTUAL
column can be
performed instantly or in place for non-partitioned tables.
The following table provides an overview of online DDL support for foreign key operations. An asterisk indicates additional information, an exception, or a dependency. For details, see Syntax and Usage Notes.
Table 15.21 Online DDL Support for Foreign Key Operations
Operation | Instant | In Place | Rebuilds Table | Permits Concurrent DML | Only Modifies Metadata |
---|---|---|---|---|---|
Adding a foreign key constraint | No | Yes* | No | Yes | Yes |
Dropping a foreign key constraint | No | Yes | No | Yes | Yes |
Adding a foreign key constraint
The INPLACE
algorithm is supported when
foreign_key_checks
is
disabled. Otherwise, only the COPY
algorithm is supported.
ALTER TABLEtbl1
ADD CONSTRAINTfk_name
FOREIGN KEYindex
(col1
) REFERENCEStbl2
(col2
)referential_actions
;
Dropping a foreign key constraint
ALTER TABLEtbl
DROP FOREIGN KEYfk_name
;
Dropping a foreign key can be performed online with the
foreign_key_checks
option
enabled or disabled.
If you do not know the names of the foreign key constraints
on a particular table, issue the following statement and
find the constraint name in the
CONSTRAINT
clause for each foreign key:
SHOW CREATE TABLE table
\G
Or, query the
INFORMATION_SCHEMA.TABLE_CONSTRAINTS
table and use the CONSTRAINT_NAME
and
CONSTRAINT_TYPE
columns to identify the
foreign key names.
You can also drop a foreign key and its associated index in a single statement:
ALTER TABLEtable
DROP FOREIGN KEYconstraint
, DROP INDEXindex
;
If foreign keys are
already present in the table being altered (that is, it is a
child table containing
a FOREIGN KEY ... REFERENCE
clause),
additional restrictions apply to online DDL operations, even
those not directly involving the foreign key columns:
An ALTER TABLE
on the child
table could wait for another transaction to commit, if a
change to the parent table causes associated changes in
the child table through an ON UPDATE
or
ON DELETE
clause using the
CASCADE
or SET NULL
parameters.
In the same way, if a table is the
parent table in a
foreign key relationship, even though it does not contain
any FOREIGN KEY
clauses, it could wait
for the ALTER TABLE
to
complete if an INSERT
,
UPDATE
, or
DELETE
statement causes an
ON UPDATE
or ON
DELETE
action in the child table.
The following table provides an overview of online DDL support for table operations. An asterisk indicates additional information, an exception, or a dependency. For details, see Syntax and Usage Notes.
Table 15.22 Online DDL Support for Table Operations
Operation | Instant | In Place | Rebuilds Table | Permits Concurrent DML | Only Modifies Metadata |
---|---|---|---|---|---|
Changing the ROW_FORMAT |
No | Yes | Yes | Yes | No |
Changing the KEY_BLOCK_SIZE |
No | Yes | Yes | Yes | No |
Setting persistent table statistics | No | Yes | No | Yes | Yes |
Specifying a character set | No | Yes | Yes* | No | No |
Converting a character set | No | No | Yes* | No | No |
Optimizing a table | No | Yes* | Yes | Yes | No |
Rebuilding with the FORCE option |
No | Yes* | Yes | Yes | No |
Performing a null rebuild | No | Yes* | Yes | Yes | No |
Renaming a table | Yes | Yes | No | Yes | Yes |
Changing the ROW_FORMAT
ALTER TABLEtbl_name
ROW_FORMAT =row_format
, ALGORITHM=INPLACE, LOCK=NONE;
Data is reorganized substantially, making it an expensive operation.
For additional information about the
ROW_FORMAT
option, see
Table Options.
Changing the KEY_BLOCK_SIZE
ALTER TABLEtbl_name
KEY_BLOCK_SIZE =value
, ALGORITHM=INPLACE, LOCK=NONE;
Data is reorganized substantially, making it an expensive operation.
For additional information about the
KEY_BLOCK_SIZE
option, see
Table Options.
Setting persistent table statistics options
ALTER TABLE tbl_name
STATS_PERSISTENT=0, STATS_SAMPLE_PAGES=20, STATS_AUTO_RECALC=1, ALGORITHM=INPLACE, LOCK=NONE;
Only modifies table metadata.
Persistent statistics include
STATS_PERSISTENT
,
STATS_AUTO_RECALC
, and
STATS_SAMPLE_PAGES
. For more information,
see Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”.
Specifying a character set
ALTER TABLEtbl_name
CHARACTER SET =charset_name
, ALGORITHM=INPLACE, LOCK=NONE;
Rebuilds the table if the new character encoding is different.
Converting a character set
ALTER TABLEtbl_name
CONVERT TO CHARACTER SETcharset_name
, ALGORITHM=COPY;
Rebuilds the table if the new character encoding is different.
Optimizing a table
OPTIMIZE TABLE tbl_name
;
In-place operation is not supported for tables with
FULLTEXT
indexes. The operation uses the
INPLACE
algorithm, but
ALGORITHM
and LOCK
syntax is not permitted.
Rebuilding a table with the FORCE
option
ALTER TABLE tbl_name
FORCE, ALGORITHM=INPLACE, LOCK=NONE;
Uses ALGORITHM=INPLACE
as of MySQL
5.6.17.
ALGORITHM=INPLACE
is
not supported for tables with FULLTEXT
indexes.
Performing a "null" rebuild
ALTER TABLE tbl_name
ENGINE=InnoDB, ALGORITHM=INPLACE, LOCK=NONE;
Uses ALGORITHM=INPLACE
as of MySQL
5.6.17. ALGORITHM=INPLACE
is not
supported for tables with FULLTEXT
indexes.
Renaming a table
ALTER TABLEold_tbl_name
RENAME TOnew_tbl_name
, ALGORITHM=INSTANT;
Renaming a table can be performed instantly or in place.
MySQL renames files that correspond to the table
tbl_name
without making a copy.
(You can also use the RENAME
TABLE
statement to rename tables. See
Section 13.1.36, “RENAME TABLE Syntax”.) Privileges granted
specifically for the renamed table are not migrated to the
new name. They must be changed manually.
The following table provides an overview of online DDL support for tablespace operations. For details, see Syntax and Usage Notes.
Table 15.23 Online DDL Support for Tablespace Operations
Operation | Instant | In Place | Rebuilds Table | Permits Concurrent DML | Only Modifies Metadata |
---|---|---|---|---|---|
Renaming a general tablespace | No | Yes | No | Yes | Yes |
Enabling or disabling general tablespace encryption | No | Yes | No | Yes | No |
Enabling or disabling file-per-table tablespace encryption | No | No | Yes | No | No |
Renaming a general tablespace
ALTER TABLESPACEtablespace_name
RENAME TOnew_tablespace_name
;
ALTER
TABLESPACE ... RENAME TO
uses the
INPLACE
algorithm but does not support
the ALGORITHM
clause.
Enabling or disabling general tablespace encryption
ALTER TABLESPACE tablespace_name
ENCRYPTION='Y';
ALTER
TABLESPACE ... ENCRYPTION
uses the
INPLACE
algorithm but does not support
the ALGORITHM
clause.
For related information, see Section 15.6.3.9, “Tablespace Encryption”.
Enabling or disabling file-per-table tablespace encryption
ALTER TABLE tbl_name
ENCRYPTION='Y', ALGORITHM=COPY;
For related information, see Section 15.6.3.9, “Tablespace Encryption”.
With the exception of some ALTER
TABLE
partitioning clauses, online DDL operations for
partitioned InnoDB
tables follow the same
rules that apply to regular InnoDB
tables.
Some ALTER TABLE
partitioning
clauses do not go through the same internal online DDL API as
regular non-partitioned InnoDB
tables. As a
result, online support for ALTER
TABLE
partitioning clauses varies.
The following table shows the online status for each
ALTER TABLE
partitioning statement.
Regardless of the online DDL API that is used, MySQL attempts to
minimize data copying and locking where possible.
ALTER TABLE
partitioning options
that use ALGORITHM=COPY
or that only permit
“ALGORITHM=DEFAULT,
LOCK=DEFAULT
”, repartition the table using the
COPY
algorithm. In other words, a new
partitioned table is created with the new partitioning scheme.
The newly created table includes any changes applied by the
ALTER TABLE
statement, and table
data is copied into the new table structure.
Table 15.24 Online DDL Support for Partitioning Operations
Partitioning Clause | Instant | In Place | Permits DML | Notes |
---|---|---|---|---|
PARTITION BY |
No | No | No | Permits ALGORITHM=COPY ,
LOCK={DEFAULT|SHARED|EXCLUSIVE} |
ADD PARTITION |
No | Yes* | Yes* | ALGORITHM=INPLACE,
LOCK={DEFAULT|NONE|SHARED|EXCLUSISVE} is
supported for RANGE and
LIST partitions,
ALGORITHM=INPLACE,
LOCK={DEFAULT|SHARED|EXCLUSISVE} for
HASH and KEY
partitions, and ALGORITHM=COPY,
LOCK={SHARED|EXCLUSIVE} for all partition types.
Does not copy existing data for tables partitioned by
RANGE or LIST .
Concurrent queries are permitted with
ALGORITHM=COPY for tables partitioned
by HASH or LIST , as
MySQL copies the data while holding a shared lock. |
DROP PARTITION |
No | Yes* | Yes* |
|
DISCARD PARTITION |
No | No | No | Only permits ALGORITHM=DEFAULT ,
LOCK=DEFAULT |
IMPORT PARTITION |
No | No | No | Only permits ALGORITHM=DEFAULT ,
LOCK=DEFAULT |
TRUNCATE
PARTITION |
No | Yes | Yes | Does not copy existing data. It merely deletes rows; it does not alter the definition of the table itself, or of any of its partitions. |
COALESCE
PARTITION |
No | Yes* | No | ALGORITHM=INPLACE, LOCK={DEFAULT|SHARED|EXCLUSIVE} is
supported. |
REORGANIZE
PARTITION |
No | Yes* | No | ALGORITHM=INPLACE, LOCK={DEFAULT|SHARED|EXCLUSIVE} is
supported. |
EXCHANGE
PARTITION |
No | Yes | Yes | |
ANALYZE PARTITION |
No | Yes | Yes | |
CHECK PARTITION |
No | Yes | Yes | |
OPTIMIZE
PARTITION |
No | No | No | ALGORITHM and LOCK clauses are
ignored. Rebuilds the entire table. See
Section 23.3.4, “Maintenance of Partitions”. |
REBUILD PARTITION |
No | Yes* | No | ALGORITHM=INPLACE, LOCK={DEFAULT|SHARED|EXCLUSIVE} is
supported. |
REPAIR PARTITION |
No | Yes | Yes | |
REMOVE
PARTITIONING |
No | No | No | Permits ALGORITHM=COPY ,
LOCK={DEFAULT|SHARED|EXCLUSIVE} |
Non-partitioning online ALTER
TABLE
operations on partitioned tables follow the same
rules that apply to regular tables. However,
ALTER TABLE
performs online
operations on each table partition, which causes increased
demand on system resources due to operations being performed on
multiple partitions.
For additional information about ALTER
TABLE
partitioning clauses, see
Partitioning Options, and
Section 13.1.9.1, “ALTER TABLE Partition Operations”. For
information about partitioning in general, see
Chapter 23, Partitioning.
Online DDL improves several aspects of MySQL operation:
Applications that access the table are more responsive because queries and DML operations on the table can proceed while the DDL operation is in progress. Reduced locking and waiting for MySQL server resources leads to greater scalability, even for operations that are not involved in the DDL operation.
Instant operations only modify metadata in the data dictionary. No metadata locks are taken on the table, and table data is unaffected, making operations instantaneous. Concurrent DML is unaffected.
Online operations avoid the disk I/O and CPU cycles associated with the table-copy method, which minimizes overall load on the database. Minimizing load helps maintain good performance and high throughput during the DDL operation.
Online operations read less data into the buffer pool than table-copy operations, which reduces purging of frequently accessed data from memory. Purging of frequently accessed data can cause a temporary performance dip after a DDL operation.
By default, MySQL uses as little locking as possible during a
DDL operation. The LOCK
clause can be
specified for in-place operations and some copy operations to
enforce more restrictive locking, if required. If the
LOCK
clause specifies a less restrictive
level of locking than is permitted for a particular DDL
operation, the statement fails with an error.
LOCK
clauses are described below, in order of
least to most restrictive:
LOCK=NONE
:
Permits concurrent queries and DML.
For example, use this clause for tables involving customer signups or purchases, to avoid making the tables unavailable during lengthy DDL operations.
LOCK=SHARED
:
Permits concurrent queries but blocks DML.
For example, use this clause on data warehouse tables, where you can delay data load operations until the DDL operation is finished, but queries cannot be delayed for long periods.
LOCK=DEFAULT
:
Permits as much concurrency as possible (concurrent queries,
DML, or both). Omitting the LOCK
clause
is the same as specifying LOCK=DEFAULT
.
Use this clause when you know that the default locking level of the DDL statement will not cause availability problems for the table.
LOCK=EXCLUSIVE
:
Blocks concurrent queries and DML.
Use this clause if the primary concern is finishing the DDL operation in the shortest amount of time possible, and concurrent query and DML access is not necessary. You might also use this clause if the server is supposed to be idle, to avoid unexpected table accesses.
Online DDL operations can be viewed as having three phases:
Phase 1: Initialization
In the initialization phase, the server determines how much
concurrency is permitted during the operation, taking into
account storage engine capabilities, operations specified in
the statement, and user-specified
ALGORITHM
and LOCK
options. During this phase, a shared upgradeable metadata
lock is taken to protect the current table definition.
Phase 2: Execution
In this phase, the statement is prepared and executed. Whether the metadata lock is upgraded to exclusive depends on the factors assessed in the initialization phase. If an exclusive metadata lock is required, it is only taken briefly during statement preparation.
Phase 3: Commit Table Definition
In the commit table definition phase, the metadata lock is upgraded to exclusive to evict the old table definition and commit the new one. Once granted, the duration of the exclusive metadata lock is brief.
Due to the exclusive metadata lock requirements outlined above, an online DDL operation may have to wait for concurrent transactions that hold metadata locks on the table to commit or rollback. Transactions started before or during the DDL operation can hold metadata locks on the table being altered. In the case of a long running or inactive transaction, an online DDL operation can time out waiting for an exclusive metadata lock. Additionally, a pending exclusive metadata lock requested by an online DDL operation blocks subsequent transactions on the table.
The following example demonstrates an online DDL operation waiting for an exclusive metadata lock, and how a pending metadata lock blocks subsequent transactions on the table.
Session 1:
mysql> CREATE TABLE t1 (c1 INT) ENGINE=InnoDB; mysql> START TRANSACTION; mysql> SELECT * FROM t1;
The session 1 SELECT
statement
takes a shared metadata lock on table t1.
Session 2:
mysql> ALTER TABLE t1 ADD COLUMN x INT, ALGORITHM=INPLACE, LOCK=NONE;
The online DDL operation in session 2, which requires an exclusive metadata lock on table t1 to commit table definition changes, must wait for the session 1 transaction to commit or roll back.
Session 3:
mysql> SELECT * FROM t1;
The SELECT
statement issued in
session 3 is blocked waiting for the exclusive metadata lock
requested by the ALTER TABLE
operation in session 2 to be granted.
You can use
SHOW FULL
PROCESSLIST
to determine if transactions are waiting
for a metadata lock.
mysql> SHOW FULL PROCESSLIST\G
...
*************************** 2. row ***************************
Id: 5
User: root
Host: localhost
db: test
Command: Query
Time: 44
State: Waiting for table metadata lock
Info: ALTER TABLE t1 ADD COLUMN x INT, ALGORITHM=INPLACE, LOCK=NONE
...
*************************** 4. row ***************************
Id: 7
User: root
Host: localhost
db: test
Command: Query
Time: 5
State: Waiting for table metadata lock
Info: SELECT * FROM t1
4 rows in set (0.00 sec)
Metadata lock information is also exposed through the
Performance Schema metadata_locks
table, which provides information about metadata lock
dependencies between sessions, the metadata lock a session is
waiting for, and the session that currently holds the metadata
lock. For more information, see
Section 26.12.12.3, “The metadata_locks Table”.
The performance of a DDL operation is largely determined by whether the operation is performed instantly, in place, and whether it rebuilds the table.
To assess the relative performance of a DDL operation, you can
compare results using ALGORITHM=INSTANT
,
ALGORITHM=INPLACE
, and
ALGORITHM=COPY
. A statement can also be run
with old_alter_table
enabled to
force the use of ALGORITHM=COPY
.
For DDL operations that modify table data, you can determine whether a DDL operation performs changes in place or performs a table copy by looking at the “rows affected” value displayed after the command finishes. For example:
Changing the default value of a column (fast, does not affect the table data):
Query OK, 0 rows affected (0.07 sec)
Adding an index (takes time, but 0 rows
affected
shows that the table is not copied):
Query OK, 0 rows affected (21.42 sec)
Changing the data type of a column (takes substantial time and requires rebuilding all the rows of the table):
Query OK, 1671168 rows affected (1 min 35.54 sec)
Before running a DDL operation on a large table, check whether the operation is fast or slow as follows:
Clone the table structure.
Populate the cloned table with a small amount of data.
Run the DDL operation on the cloned table.
Check whether the “rows affected” value is zero or not. A nonzero value means the operation copies table data, which might require special planning. For example, you might do the DDL operation during a period of scheduled downtime, or on each replication slave server one at a time.
For a greater understanding of the MySQL processing associated
with a DDL operation, examine Performance Schema and
INFORMATION_SCHEMA
tables related to
InnoDB
before and after DDL operations to
see the number of physical reads, writes, memory allocations,
and so on.
Performance Schema stage events can be used to monitor
ALTER TABLE
progress. See
Section 15.15.1, “Monitoring ALTER TABLE Progress for InnoDB Tables Using Performance
Schema”.
Because there is some processing work involved with recording the changes made by concurrent DML operations, then applying those changes at the end, an online DDL operation could take longer overall than the table-copy mechanism that blocks table access from other sessions. The reduction in raw performance is balanced against better responsiveness for applications that use the table. When evaluating the techniques for changing table structure, consider end-user perception of performance, based on factors such as load times for web pages.
Space requirements for in-place online DDL operations are outlined below. Space requirements do not apply to operations that are performed instantly.
Space for temporary log files
A temporary log file records concurrent DML when an online DDL
operation creates an index or alters a table. The temporary
log file is extended as required by the value of
innodb_sort_buffer_size
up to
a maximum specified by
innodb_online_alter_log_max_size
.
If a temporary log file exceeds the size limit, the online DDL
operation fails, and uncommitted concurrent DML operations are
rolled back. A large
innodb_online_alter_log_max_size
setting permits more DML during an online DDL operation, but
it also extends the period of time at the end of the DDL
operation when the table is locked to apply logged DML.
If the operation takes a long time and concurrent DML modifies
the table so much that the size of the temporary log file
exceeds the value of
innodb_online_alter_log_max_size
,
the online DDL operation fails with a
DB_ONLINE_LOG_TOO_BIG
error.
Space for temporary sort files
Online DDL operations that rebuild the table write temporary
sort files to the MySQL temporary directory
($TMPDIR
on Unix, %TEMP%
on Windows, or the directory specified by
--tmpdir
) during index
creation. Temporary sort files are not created in the
directory that contains the original table. Each temporary
sort file is large enough to hold all secondary index columns
plus the primary key columns of the clustered index. Temporary
sort files are removed as soon as their contents are merged
into the final table or index. Temporary sort files may
require space equal to the amount of data in the table plus
indexes. An online DDL operation that rebuilds the table
reports an error if it uses all of the available disk space on
the file system where the data directory resides.
If the MySQL temporary directory is not large enough to hold
the sort files, set tmpdir
to
a different directory. Alternatively, define a separate
temporary directory for online DDL operations using
innodb_tmpdir
. This option
was introduced to help avoid temporary directory overflows
that could occur as a result of large temporary sort files.
Space for an intermediate table file
Some online DDL operations that rebuild the table create a
temporary intermediate table file in the same directory as the
original table. An intermediate table file may require space
equal to the size of the original table. Intermediate table
file names begin with #sql-ib
prefix and
only appear briefly during the online DDL operation.
The innodb_tmpdir
option is
not applicable to intermediate table files.
Before the introduction of online
DDL, it was common practice to combine many DDL operations
into a single ALTER TABLE
statement. Because each ALTER TABLE
statement involved copying and rebuilding the table, it was more
efficient to make several changes to the same table at once, since
those changes could all be done with a single rebuild operation
for the table. The downside was that SQL code involving DDL
operations was harder to maintain and to reuse in different
scripts. If the specific changes were different each time, you
might have to construct a new complex ALTER
TABLE
for each slightly different scenario.
For DDL operations that can be done online, you can separate them
into individual ALTER TABLE
statements for easier scripting and maintenance, without
sacrificing efficiency. For example, you might take a complicated
statement such as:
ALTER TABLE t1 ADD INDEX i1(c1), ADD UNIQUE INDEX i2(c2), CHANGE c4_old_name c4_new_name INTEGER UNSIGNED;
and break it down into simpler parts that can be tested and performed independently, such as:
ALTER TABLE t1 ADD INDEX i1(c1); ALTER TABLE t1 ADD UNIQUE INDEX i2(c2); ALTER TABLE t1 CHANGE c4_old_name c4_new_name INTEGER UNSIGNED NOT NULL;
You might still use multi-part ALTER
TABLE
statements for:
Operations that must be performed in a specific sequence, such as creating an index followed by a foreign key constraint that uses that index.
Operations all using the same specific LOCK
clause, that you want to either succeed or fail as a group.
Operations that cannot be performed online, that is, that still use the table-copy method.
Operations for which you specify
ALGORITHM=COPY
or
old_alter_table=1
, to force
the table-copying behavior if needed for precise
backward-compatibility in specialized scenarios.
The failure of an online DDL operation is typically due to one of the following conditions:
An ALGORITHM
clause specifies an algorithm
that is not compatible with the particular type of DDL
operation or storage engine.
A LOCK
clause specifies a low degree of
locking (SHARED
or NONE
)
that is not compatible with the particular type of DDL
operation.
A timeout occurs while waiting for an exclusive lock on the table, which may be needed briefly during the initial and final phases of the DDL operation.
The tmpdir
or
innodb_tmpdir
file system
runs out of disk space, while MySQL writes temporary sort
files on disk during index creation. For more information, see
Section 15.12.3, “Online DDL Space Requirements”.
The operation takes a long time and concurrent DML modifies
the table so much that the size of the temporary online log
exceeds the value of the
innodb_online_alter_log_max_size
configuration option. This condition causes a
DB_ONLINE_LOG_TOO_BIG
error.
Concurrent DML makes changes to the table that are allowed
with the original table definition, but not with the new one.
The operation only fails at the very end, when MySQL tries to
apply all the changes from concurrent DML statements. For
example, you might insert duplicate values into a column while
a unique index is being created, or you might insert
NULL
values into a column while creating a
primary key index on
that column. The changes made by the concurrent DML take
precedence, and the ALTER TABLE
operation is effectively rolled
back.
The following limitations apply to online DDL operations:
The table is copied when creating an index on a
TEMPORARY TABLE
.
The ALTER TABLE
clause
LOCK=NONE
is not permitted if there are
ON...CASCADE
or ON...SET
NULL
constraints on the table.
Before an in-place online DDL operation can finish, it must wait for transactions that hold metadata locks on the table to commit or roll back. An online DDL operation may briefly require an exclusive metadata lock on the table during its execution phase, and always requires one in the final phase of the operation when updating the table definition. Consequently, transactions holding metadata locks on the table can cause an online DDL operation to block. The transactions that hold metadata locks on the table may have been started before or during the online DDL operation. A long running or inactive transaction that holds a metadata lock on the table can cause an online DDL operation to timeout.
When running an in-place online DDL operation, the thread that
runs the ALTER TABLE
statement
applies an online log of DML operations that were run
concurrently on the same table from other connection threads.
When the DML operations are applied, it is possible to
encounter a duplicate key entry error (ERROR 1062
(23000): Duplicate entry), even if the duplicate
entry is only temporary and would be reverted by a later entry
in the online log. This is similar to the idea of a foreign
key constraint check in InnoDB
in which
constraints must hold during a transaction.
OPTIMIZE TABLE
for an
InnoDB
table is mapped to an
ALTER TABLE
operation to
rebuild the table and update index statistics and free unused
space in the clustered index. Secondary indexes are not
created as efficiently because keys are inserted in the order
they appeared in the primary key.
OPTIMIZE TABLE
is supported
with the addition of online DDL support for rebuilding regular
and partitioned InnoDB
tables.
Tables created before MySQL 5.6 that include temporal columns
(DATE
,
DATETIME
or
TIMESTAMP
) and have not been
rebuilt using ALGORITHM=COPY
do not
support ALGORITHM=INPLACE
. In this case, an
ALTER TABLE ...
ALGORITHM=INPLACE
operation returns the following
error:
ERROR 1846 (0A000): ALGORITHM=INPLACE is not supported. Reason: Cannot change column type INPLACE. Try ALGORITHM=COPY.
The following limitations are generally applicable to online DDL operations on large tables that involve rebuilding the table:
There is no mechanism to pause an online DDL operation or to throttle I/O or CPU usage for an online DDL operation.
Rollback of an online DDL operation can be expensive should the operation fail.
Long running online DDL operations can cause replication lag. An online DDL operation must finish running on the master before it is run on the slave. Also, DML that was processed concurrently on the master is only processed on the slave after the DDL operation on the slave is completed.
For additional information related to running online DDL operations on large tables, see Section 15.12.2, “Online DDL Performance and Concurrency”.
System variables that are true or false can be enabled at
server startup by naming them, or disabled by using a
--skip-
prefix. For example, to enable or
disable the InnoDB
adaptive hash index, you
can use
--innodb-adaptive-hash-index
or
--skip-innodb-adaptive-hash-index
on the command line, or
innodb_adaptive_hash_index
or
skip_innodb_adaptive_hash_index
in an
option file.
System variables that take a numeric value can be specified as
--
on the command line or as
var_name
=value
in option files.
var_name
=value
Many system variables can be changed at runtime (see Section 5.1.9.2, “Dynamic System Variables”).
For information about GLOBAL
and
SESSION
variable scope modifiers, refer to
the
SET
statement documentation.
Certain options control the locations and layout of the
InnoDB
data files.
Section 15.8.1, “InnoDB Startup Configuration” explains
how to use these options.
Some options, which you might not use initially, help tune
InnoDB
performance characteristics based on
machine capacity and your database
workload.
For more information on specifying options and system variables, see Section 4.2.4, “Specifying Program Options”.
Table 15.25 InnoDB Option and Variable Reference
Property | Value |
---|---|
Command-Line Format | --ignore-builtin-innodb |
Deprecated | Yes (removed in 8.0.3) |
System Variable | ignore_builtin_innodb |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
In earlier versions of MySQL, this option caused the server to
behave as if the built-in InnoDB
were not
present, which enabled the InnoDB Plugin
to
be used instead. In MySQL 8.0,
InnoDB
is the default storage engine and
InnoDB Plugin
is not used. This option was
removed in MySQL 8.0.
Property | Value |
---|---|
Command-Line Format | --innodb[=value] |
Deprecated | Yes |
Type | Enumeration |
Default Value | ON |
Valid Values |
|
Controls loading of the InnoDB
storage
engine, if the server was compiled with
InnoDB
support. This option has a tristate
format, with possible values of OFF
,
ON
, or FORCE
. See
Section 5.6.1, “Installing and Uninstalling Plugins”.
To disable InnoDB
, use
--innodb=OFF
or
--skip-innodb
.
In this case, because the default storage engine is
InnoDB
, the server does not start
unless you also use
--default-storage-engine
and
--default-tmp-storage-engine
to
set the default to some other engine for both permanent and
TEMPORARY
tables.
The InnoDB
storage engine can no longer be
disabled, and the
--innodb=OFF
and
--skip-innodb
options are deprecated and have no effect. Their use results
in a warning. These options will be removed in a future MySQL
release.
Property | Value |
---|---|
Command-Line Format | --innodb-status-file |
Type | Boolean |
Default Value | OFF |
The --innodb-status-file
startup option
controls whether InnoDB
creates a file
named
innodb_status.
in the data directory and writes
pid
SHOW ENGINE
INNODB STATUS
output to it every 15 seconds,
approximately.
The
innodb_status.
file is not created by default. To create it, start
mysqld with the
pid
--innodb-status-file
option.
InnoDB
removes the file when the server is
shut down normally. If an abnormal shutdown occurs, the status
file may have to be removed manually.
The --innodb-status-file
option is intended
for temporary use, as
SHOW ENGINE
INNODB STATUS
output generation can affect
performance, and the
innodb_status.
file can become quite large over time.
pid
For related information, see Section 15.16.2, “Enabling InnoDB Monitors”.
Disable the InnoDB
storage engine. See the
description of --innodb
.
daemon_memcached_enable_binlog
Property | Value |
---|---|
Command-Line Format | --daemon-memcached-enable-binlog=# |
System Variable | daemon_memcached_enable_binlog |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | false |
Enable this option on the
master server to use
the InnoDB
memcached
plugin (daemon_memcached
) with the MySQL
binary log. This option
can only be set at server startup. You must also enable the
MySQL binary log on the master server using the
--log-bin
option.
For more information, see Section 15.19.7, “The InnoDB memcached Plugin and Replication”.
daemon_memcached_engine_lib_name
Property | Value |
---|---|
Command-Line Format | --daemon-memcached-engine-lib-name=library |
System Variable | daemon_memcached_engine_lib_name |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | File name |
Default Value | innodb_engine.so |
Specifies the shared library that implements the
InnoDB
memcached plugin.
For more information, see Section 15.19.3, “Setting Up the InnoDB memcached Plugin”.
daemon_memcached_engine_lib_path
Property | Value |
---|---|
Command-Line Format | --daemon-memcached-engine-lib-path=directory |
System Variable | daemon_memcached_engine_lib_path |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Directory name |
Default Value | NULL |
The path of the directory containing the shared library that
implements the InnoDB
memcached plugin. The default value is
NULL, representing the MySQL plugin directory. You should not
need to modify this parameter unless specifying a
memcached
plugin for a different storage
engine that is located outside of the MySQL plugin directory.
For more information, see Section 15.19.3, “Setting Up the InnoDB memcached Plugin”.
Property | Value |
---|---|
Command-Line Format | --daemon-memcached-option=options |
System Variable | daemon_memcached_option |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | String |
Default Value |
|
Used to pass space-separated memcached options to the underlying memcached memory object caching daemon on startup. For example, you might change the port that memcached listens on, reduce the maximum number of simultaneous connections, change the maximum memory size for a key-value pair, or enable debugging messages for the error log.
See Section 15.19.3, “Setting Up the InnoDB memcached Plugin” for usage details. For information about memcached options, refer to the memcached man page.
Property | Value |
---|---|
Command-Line Format | --daemon-memcached-r-batch-size=# |
System Variable | daemon_memcached_r_batch_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1 |
Specifies how many memcached read
operations (get
operations) to perform
before doing a COMMIT
to start
a new transaction. Counterpart of
daemon_memcached_w_batch_size
.
This value is set to 1 by default, so that any changes made to the table through SQL statements are immediately visible to memcached operations. You might increase it to reduce the overhead from frequent commits on a system where the underlying table is only being accessed through the memcached interface. If you set the value too large, the amount of undo or redo data could impose some storage overhead, as with any long-running transaction.
For more information, see Section 15.19.3, “Setting Up the InnoDB memcached Plugin”.
Property | Value |
---|---|
Command-Line Format | --daemon-memcached-w-batch-size=# |
System Variable | daemon_memcached_w_batch_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1 |
Specifies how many memcached write
operations, such as add
,
set
, and incr
, to
perform before doing a COMMIT
to start a new transaction. Counterpart of
daemon_memcached_r_batch_size
.
This value is set to 1 by default, on the assumption that data
being stored is important to preserve in case of an outage and
should immediately be committed. When storing non-critical
data, you might increase this value to reduce the overhead
from frequent commits; but then the last
N
-1 uncommitted write operations
could be lost if a crash occurs.
For more information, see Section 15.19.3, “Setting Up the InnoDB memcached Plugin”.
Property | Value |
---|---|
Command-Line Format | --ignore-builtin-innodb |
Deprecated | Yes (removed in 8.0.3) |
System Variable | ignore_builtin_innodb |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
See the description of
--ignore-builtin-innodb
under
“InnoDB Command Options” earlier in this section.
This variable was removed in MySQL 8.0.
Property | Value |
---|---|
Command-Line Format | --innodb-adaptive-flushing |
System Variable | innodb_adaptive_flushing |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Specifies whether to dynamically adjust the rate of flushing
dirty pages in the
InnoDB
buffer pool based on
the workload. Adjusting the flush rate dynamically is intended
to avoid bursts of I/O activity. This setting is enabled by
default. See
Section 15.8.3.5, “Configuring InnoDB Buffer Pool Flushing” for
more information. For general I/O tuning advice, see
Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-adaptive-flushing-lwm=# |
System Variable | innodb_adaptive_flushing_lwm |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 10 |
Minimum Value | 0 |
Maximum Value | 70 |
Defines the low water mark representing percentage of redo log capacity at which adaptive flushing is enabled. For more information, see Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”.
Property | Value |
---|---|
Command-Line Format | --innodb-adaptive-hash-index |
System Variable | innodb_adaptive_hash_index |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Whether the InnoDB
adaptive hash
index is enabled or disabled. It may be desirable,
depending on your workload, to dynamically enable or disable
adaptive hash
indexing to improve query performance. Because the
adaptive hash index may not be useful for all workloads,
conduct benchmarks with it both enabled and disabled, using
realistic workloads. See
Section 15.5.3, “Adaptive Hash Index” for details.
This variable is enabled by default. You can modify this
parameter using the SET GLOBAL
statement,
without restarting the server. Changing the setting at runtime
requires privileges sufficient to set global system variables.
See Section 5.1.9.1, “System Variable Privileges”. You can also
use --skip-innodb-adaptive-hash-index
at
server startup to disable it.
Disabling the adaptive hash index empties the hash table immediately. Normal operations can continue while the hash table is emptied, and executing queries that were using the hash table access the index B-trees directly instead. When the adaptive hash index is re-enabled, the hash table is populated again during normal operation.
innodb_adaptive_hash_index_parts
Property | Value |
---|---|
Command-Line Format | --innodb-adaptive-hash-index-parts=# |
System Variable | innodb_adaptive_hash_index_parts |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Numeric |
Default Value | 8 |
Minimum Value | 1 |
Maximum Value | 512 |
Partitions the adaptive hash index search system. Each index is bound to a specific partition, with each partition protected by a separate latch.
The adaptive hash index search system is partitioned into 8 parts by default. The maximum setting is 512.
For related information, see Section 15.5.3, “Adaptive Hash Index”.
innodb_adaptive_max_sleep_delay
Property | Value |
---|---|
Command-Line Format | --innodb-adaptive-max-sleep-delay=# |
System Variable | innodb_adaptive_max_sleep_delay |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 150000 |
Minimum Value | 0 |
Maximum Value | 1000000 |
Permits InnoDB
to automatically adjust the
value of
innodb_thread_sleep_delay
up
or down according to the current workload. Any nonzero value
enables automated, dynamic adjustment of the
innodb_thread_sleep_delay
value, up to the
maximum value specified in the
innodb_adaptive_max_sleep_delay
option. The
value represents the number of microseconds. This option can
be useful in busy systems, with greater than 16
InnoDB
threads. (In practice, it is most
valuable for MySQL systems with hundreds or thousands of
simultaneous connections.)
For more information, see Section 15.8.4, “Configuring Thread Concurrency for InnoDB”.
Property | Value |
---|---|
Command-Line Format | --innodb-api-bk-commit-interval=# |
System Variable | innodb_api_bk_commit_interval |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 5 |
Minimum Value | 1 |
Maximum Value | 1073741824 |
How often to auto-commit idle connections that use the
InnoDB
memcached
interface, in seconds. For more information, see
Section 15.19.6.4, “Controlling Transactional Behavior of the InnoDB memcached Plugin”.
Property | Value |
---|---|
Command-Line Format | --innodb-api-disable-rowlock |
System Variable | innodb_api_disable_rowlock |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Use this option to disable row locks when
InnoDB
memcached
performs DML operations. By default,
innodb_api_disable_rowlock
is disabled,
which means that memcached requests row
locks for get
and set
operations. When innodb_api_disable_rowlock
is enabled, memcached requests a table lock
instead of row locks.
innodb_api_disable_rowlock
is not dynamic.
It must be specified on the mysqld command
line or entered in the MySQL configuration file. Configuration
takes effect when the plugin is installed, which occurs when
the MySQL server is started.
For more information, see Section 15.19.6.4, “Controlling Transactional Behavior of the InnoDB memcached Plugin”.
Property | Value |
---|---|
Command-Line Format | --innodb-api-enable-binlog |
System Variable | innodb_api_enable_binlog |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Lets you use the InnoDB
memcached plugin with the MySQL
binary log. For more
information, see
Enabling the InnoDB memcached Binary Log.
Property | Value |
---|---|
Command-Line Format | --innodb-api-enable-mdl |
System Variable | innodb_api_enable_mdl |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Locks the table used by the InnoDB
memcached plugin, so that it cannot be
dropped or altered by DDL
through the SQL interface. For more information, see
Section 15.19.6.4, “Controlling Transactional Behavior of the InnoDB memcached Plugin”.
Property | Value |
---|---|
Command-Line Format | --innodb-api-trx-level=# |
System Variable | innodb_api_trx_level |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Controls the transaction isolation level on queries processed by the memcached interface. The constants corresponding to the familiar names are:
0 = READ UNCOMMITTED
1 = READ COMMITTED
2 = REPEATABLE READ
3 = SERIALIZABLE
For more information, see Section 15.19.6.4, “Controlling Transactional Behavior of the InnoDB memcached Plugin”.
Property | Value |
---|---|
Command-Line Format | --innodb-autoextend-increment=# |
System Variable | innodb_autoextend_increment |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 64 |
Minimum Value | 1 |
Maximum Value | 1000 |
The increment size (in megabytes) for extending the size of an
auto-extending InnoDB
system
tablespace file when it becomes full. The default value
is 64. For related information, see
System Tablespace Data File Configuration, and
Resizing the System Tablespace.
The
innodb_autoextend_increment
setting does not affect
file-per-table
tablespace files or
general
tablespace files. These files are auto-extending
regardless of the
innodb_autoextend_increment
setting. The initial extensions are by small amounts, after
which extensions occur in increments of 4MB.
Property | Value |
---|---|
Command-Line Format | --innodb-autoinc-lock-mode=# |
System Variable | innodb_autoinc_lock_mode |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value (>= 8.0.3) | 2 |
Default Value (<= 8.0.2) | 1 |
Valid Values |
|
The lock mode to use for generating auto-increment values. Permissible values are 0, 1, or 2, for traditional, consecutive, or interleaved, respectively.
The default setting is 2 (interleaved) as of MySQL 8.0, and 1 (consecutive) before that. The change to interleaved lock mode as the default setting reflects the change from statement-based to row-based replication as the default replication type, which occurred in MySQL 5.7. Statement-based replication requires the consecutive auto-increment lock mode to ensure that auto-increment values are assigned in a predictable and repeatable order for a given sequence of SQL statements, whereas row-based replication is not sensitive to the execution order of SQL statements.
For the characteristics of each lock mode, see InnoDB AUTO_INCREMENT Lock Modes.
innodb_background_drop_list_empty
Property | Value |
---|---|
Command-Line Format | --innodb-background-drop-list-empty |
System Variable | innodb_background_drop_list_empty |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enabling the
innodb_background_drop_list_empty
debug
option helps avoid test case failures by delaying table
creation until the background drop list is empty. For example,
if test case A places table t1
on the
background drop list, test case B waits until the background
drop list is empty before creating table
t1
.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-chunk-size=# |
System Variable | innodb_buffer_pool_chunk_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 134217728 |
Minimum Value | 1048576 |
Maximum Value | innodb_buffer_pool_size / innodb_buffer_pool_instances |
innodb_buffer_pool_chunk_size
defines the
chunk size for InnoDB
buffer pool resizing
operations. The
innodb_buffer_pool_size
parameter is dynamic, which allows you to resize the buffer
pool without restarting the server.
To avoid copying all buffer pool pages during resizing
operations, the operation is performed in
“chunks”. By default,
innodb_buffer_pool_chunk_size
is 128MB
(134217728 bytes). The number of pages contained in a chunk
depends on the value of
innodb_page_size
.
innodb_buffer_pool_chunk_size
can be
increased or decreased in units of 1MB (1048576 bytes).
The following conditions apply when altering the
innodb_buffer_pool_chunk_size
value:
If
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
is larger than the current buffer pool size when the
buffer pool is initialized,
innodb_buffer_pool_chunk_size
is truncated to
innodb_buffer_pool_size
/
innodb_buffer_pool_instances
.
Buffer pool size must always be equal to or a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
If you alter
innodb_buffer_pool_chunk_size
,
innodb_buffer_pool_size
is automatically rounded to a value that is equal to or a
multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
The adjustment occurs when the buffer pool is initialized.
Care should be taken when changing
innodb_buffer_pool_chunk_size
,
as changing this value can automatically increase the size
of the buffer pool. Before changing
innodb_buffer_pool_chunk_size
,
calculate the effect it will have on
innodb_buffer_pool_size
to
ensure that the resulting buffer pool size is acceptable.
To avoid potential performance issues, the number of chunks
(innodb_buffer_pool_size
/
innodb_buffer_pool_chunk_size
)
should not exceed 1000.
See Section 15.8.3.1, “Configuring InnoDB Buffer Pool Size” for more information.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-debug |
System Variable | innodb_buffer_pool_debug |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enabling this option permits multiple buffer pool instances
when the buffer pool is less than 1GB in size, ignoring the
1GB minimum buffer pool size constraint imposed on
innodb_buffer_pool_instances
.
The innodb_buffer_pool_debug
option is only
available if debugging support is compiled in using the
WITH_DEBUG
CMake option.
innodb_buffer_pool_dump_at_shutdown
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-dump-at-shutdown |
System Variable | innodb_buffer_pool_dump_at_shutdown |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Specifies whether to record the pages cached in the
InnoDB
buffer pool when the
MySQL server is shut down, to shorten the
warmup process at the next
restart. Typically used in combination with
innodb_buffer_pool_load_at_startup
.
The
innodb_buffer_pool_dump_pct
option defines the percentage of most recently used buffer
pool pages to dump.
Both
innodb_buffer_pool_dump_at_shutdown
and innodb_buffer_pool_load_at_startup
are
enabled by default.
For more information, see Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-dump-now |
System Variable | innodb_buffer_pool_dump_now |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Immediately records the pages cached in the
InnoDB
buffer pool. Typically
used in combination with
innodb_buffer_pool_load_now
.
For more information, see Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-dump-pct=# |
System Variable | innodb_buffer_pool_dump_pct |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 25 |
Minimum Value | 1 |
Maximum Value | 100 |
Specifies the percentage of the most recently used pages for
each buffer pool to read out and dump. The range is 1 to 100.
The default value is 25. For example, if there are 4 buffer
pools with 100 pages each, and
innodb_buffer_pool_dump_pct
is set to 25, the 25 most recently used pages from each buffer
pool are dumped.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-filename=file_name |
System Variable | innodb_buffer_pool_filename |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | File name |
Default Value | ib_buffer_pool |
Specifies the name of the file that holds the list of
tablespace IDs and page IDs produced by
innodb_buffer_pool_dump_at_shutdown
or
innodb_buffer_pool_dump_now
.
Tablespace IDs and page IDs are saved in the following format:
space, page_id
. By default, the file is
named ib_buffer_pool
and is located in
the InnoDB
data directory. A non-default
location must be specified relative to the data directory.
A file name can be specified at runtime, using a
SET
statement:
SET GLOBAL innodb_buffer_pool_filename='file_name'
;
You can also specify a file name at startup, in a startup
string or MySQL configuration file. When specifying a file
name at startup, the file must exist or
InnoDB
will return a startup error
indicating that there is no such file or directory.
For more information, see Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”.
innodb_buffer_pool_in_core_file
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-in-core-file |
Introduced | 8.0.14 |
System Variable | innodb_buffer_pool_in_core_file |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Disabling the
innodb_buffer_pool_in_core_file
variable
reduces the size of core files by excluding
InnoDB
buffer pool pages. To use this
variable, the core_file
variable must be enabled and the operating system must support
the MADV_DONTDUMP
non-POSIX extension to
madvise()
, which is supported in Linux 3.4
and later. For more information, see
Section 15.8.3.8, “Excluding Buffer Pool Pages from Core Files”.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-instances=# |
System Variable | innodb_buffer_pool_instances |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value (Other) | 8 (or 1 if innodb_buffer_pool_size < 1GB |
Default Value (Windows, 32-bit platforms) | (autosized) |
Minimum Value | 1 |
Maximum Value | 64 |
The number of regions that the InnoDB
buffer pool is divided
into. For systems with buffer pools in the multi-gigabyte
range, dividing the buffer pool into separate instances can
improve concurrency, by reducing contention as different
threads read and write to cached pages. Each page that is
stored in or read from the buffer pool is assigned to one of
the buffer pool instances randomly, using a hashing function.
Each buffer pool manages its own free lists,
flush lists,
LRUs, and all other data
structures connected to a buffer pool, and is protected by its
own buffer pool mutex.
This option only takes effect when setting
innodb_buffer_pool_size
to
1GB or more. The total buffer pool size is divided among all
the buffer pools. For best efficiency, specify a combination
of
innodb_buffer_pool_instances
and innodb_buffer_pool_size
so that each buffer pool instance is at least 1GB.
The default value on 32-bit Windows systems depends on the
value of
innodb_buffer_pool_size
, as
described below:
If
innodb_buffer_pool_size
is greater than 1.3GB, the default for
innodb_buffer_pool_instances
is
innodb_buffer_pool_size
/128MB,
with individual memory allocation requests for each chunk.
1.3GB was chosen as the boundary at which there is
significant risk for 32-bit Windows to be unable to
allocate the contiguous address space needed for a single
buffer pool.
Otherwise, the default is 1.
On all other platforms, the default value is 8 when
innodb_buffer_pool_size
is
greater than or equal to 1GB. Otherwise, the default is 1.
For related information, see Section 15.8.3.1, “Configuring InnoDB Buffer Pool Size”.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-load-abort |
System Variable | innodb_buffer_pool_load_abort |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Interrupts the process of restoring InnoDB
buffer pool contents
triggered by
innodb_buffer_pool_load_at_startup
or
innodb_buffer_pool_load_now
.
For more information, see Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”.
innodb_buffer_pool_load_at_startup
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-load-at-startup |
System Variable | innodb_buffer_pool_load_at_startup |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Specifies that, on MySQL server startup, the
InnoDB
buffer pool is
automatically warmed up by
loading the same pages it held at an earlier time. Typically
used in combination with
innodb_buffer_pool_dump_at_shutdown
.
Both
innodb_buffer_pool_dump_at_shutdown
and innodb_buffer_pool_load_at_startup
are
enabled by default.
For more information, see Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-load-now |
System Variable | innodb_buffer_pool_load_now |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Immediately warms up the
InnoDB
buffer pool by loading
a set of data pages, without waiting for a server restart. Can
be useful to bring cache memory back to a known state during
benchmarking, or to ready the MySQL server to resume its
normal workload after running queries for reports or
maintenance.
For more information, see Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”.
Property | Value |
---|---|
Command-Line Format | --innodb-buffer-pool-size=# |
System Variable | innodb_buffer_pool_size |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 134217728 |
Minimum Value | 5242880 |
Maximum Value (64-bit platforms) | 2**64-1 |
Maximum Value (32-bit platforms) | 2**32-1 |
The size in bytes of the
buffer pool, the
memory area where InnoDB
caches table and
index data. The default value is 134217728 bytes (128MB). The
maximum value depends on the CPU architecture; the maximum is
4294967295 (232-1) on 32-bit
systems and 18446744073709551615
(264-1) on 64-bit systems. On
32-bit systems, the CPU architecture and operating system may
impose a lower practical maximum size than the stated maximum.
When the size of the buffer pool is greater than 1GB, setting
innodb_buffer_pool_instances
to a value greater than 1 can improve the scalability on a
busy server.
A larger buffer pool requires less disk I/O to access the same table data more than once. On a dedicated database server, you might set the buffer pool size to 80% of the machine's physical memory size. Be aware of the following potential issues when configuring buffer pool size, and be prepared to scale back the size of the buffer pool if necessary.
Competition for physical memory can cause paging in the operating system.
InnoDB
reserves additional memory for
buffers and control structures, so that the total
allocated space is approximately 10% greater than the
specified buffer pool size.
Address space for the buffer pool must be contiguous, which can be an issue on Windows systems with DLLs that load at specific addresses.
The time to initialize the buffer pool is roughly proportional to its size. On instances with large buffer pools, initialization time might be significant. To reduce the initialization period, you can save the buffer pool state at server shutdown and restore it at server startup. See Section 15.8.3.7, “Saving and Restoring the Buffer Pool State”.
When you increase or decrease buffer pool size, the operation
is performed in chunks. Chunk size is defined by the
innodb_buffer_pool_chunk_size
configuration option, which has a default of 128 MB.
Buffer pool size must always be equal to or a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
If you alter the buffer pool size to a value that is not equal
to or a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
,
buffer pool size is automatically adjusted to a value that is
equal to or a multiple of
innodb_buffer_pool_chunk_size
*
innodb_buffer_pool_instances
.
innodb_buffer_pool_size
can be set
dynamically, which allows you to resize the buffer pool
without restarting the server. The
Innodb_buffer_pool_resize_status
status variable reports the status of online buffer pool
resizing operations. See
Section 15.8.3.1, “Configuring InnoDB Buffer Pool Size” for more
information.
If innodb_dedicated_server
is
enabled, the
innodb_buffer_pool_size
value
is automatically configured if it is not explicitly defined.
For more information, see
Section 15.8.12, “Enabling Automatic Configuration for a Dedicated MySQL Server”.
Property | Value |
---|---|
Command-Line Format | --innodb-change-buffer-max-size=# |
System Variable | innodb_change_buffer_max_size |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 25 |
Minimum Value | 0 |
Maximum Value | 50 |
Maximum size for the InnoDB
change buffer, as a
percentage of the total size of the
buffer pool. You might
increase this value for a MySQL server with heavy insert,
update, and delete activity, or decrease it for a MySQL server
with unchanging data used for reporting. For more information,
see Section 15.5.2, “Change Buffer”. For general I/O
tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-change-buffering=value |
System Variable | innodb_change_buffering |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Enumeration |
Default Value | all |
Valid Values |
|
Whether InnoDB
performs
change buffering,
an optimization that delays write operations to secondary
indexes so that the I/O operations can be performed
sequentially. Permitted values are described in the following
table. Values may also be specified numerically.
Table 15.26 Permitted Values for innodb_change_buffering
Value | Numeric Value | Description |
---|---|---|
none |
0 |
Do not buffer any operations. |
inserts |
1 |
Buffer insert operations. |
deletes |
2 |
Buffer delete marking operations; strictly speaking, the writes that mark index records for later deletion during a purge operation. |
changes |
3 |
Buffer inserts and delete-marking operations. |
purges |
4 |
Buffer the physical deletion operations that happen in the background. |
all |
5 |
The default. Buffer inserts, delete-marking operations, and purges. |
For more information, see Section 15.5.2, “Change Buffer”. For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-change-buffering-debug=# |
System Variable | innodb_change_buffering_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Maximum Value | 2 |
Sets a debug flag for InnoDB
change
buffering. A value of 1 forces all changes to the change
buffer. A value of 2 causes a crash at merge. A default value
of 0 indicates that the change buffering debug flag is not
set. This option is only available when debugging support is
compiled in using the WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-checkpoint-disabled |
Introduced | 8.0.2 |
System Variable | innodb_checkpoint_disabled |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
This is a debug option that is only intended for expert
debugging use. It disables checkpoints so that a deliberate
server exit always initiates InnoDB
recovery. It should only be enabled for a short interval,
typically before running DML operations that write redo log
entries that would require recovery following a server exit.
This option is only available if debugging support is compiled
in using the WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-checksum-algorithm=value |
System Variable | innodb_checksum_algorithm |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Enumeration |
Default Value | crc32 |
Valid Values |
|
Specifies how to generate and verify the
checksum stored in the
disk blocks of InnoDB
tablespaces. The
default value for innodb_checksum_algorithm
is crc32
.
Versions of MySQL Enterprise Backup up to 3.8.0 do not support backing up tablespaces that use CRC32 checksums. MySQL Enterprise Backup adds CRC32 checksum support in 3.8.1, with some limitations. Refer to the MySQL Enterprise Backup 3.8.1 Change History for more information.
The value innodb
is backward-compatible
with earlier versions of MySQL. The value
crc32
uses an algorithm that is faster to
compute the checksum for every modified block, and to check
the checksums for each disk read. It scans blocks 32 bits at a
time, which is faster than the innodb
checksum algorithm, which scans blocks 8 bits at a time. The
value none
writes a constant value in the
checksum field rather than computing a value based on the
block data. The blocks in a tablespace can use a mix of old,
new, and no checksum values, being updated gradually as the
data is modified; once blocks in a tablespace are modified to
use the crc32
algorithm, the associated
tables cannot be read by earlier versions of MySQL.
The strict form of a checksum algorithm reports an error if it encounters a valid but non-matching checksum value in a tablespace. It is recommended that you only use strict settings in a new instance, to set up tablespaces for the first time. Strict settings are somewhat faster, because they do not need to compute all checksum values during disk reads.
The following table shows the difference between the
none
, innodb
, and
crc32
option values, and their strict
counterparts. none
,
innodb
, and crc32
write
the specified type of checksum value into each data block, but
for compatibility accept other checksum values when verifying
a block during a read operation. Strict settings also accept
valid checksum values but print an error message when a valid
non-matching checksum value is encountered. Using the strict
form can make verification faster if all
InnoDB
data files in an instance are
created under an identical
innodb_checksum_algorithm
value.
Table 15.27 Permitted innodb_checksum_algorithm Values
Value | Generated checksum (when writing) | Permitted checksums (when reading) |
---|---|---|
none | A constant number. | Any of the checksums generated by none ,
innodb , or crc32 . |
innodb | A checksum calculated in software, using the original algorithm from
InnoDB . |
Any of the checksums generated by none ,
innodb , or crc32 . |
crc32 | A checksum calculated using the crc32 algorithm,
possibly done with a hardware assist. |
Any of the checksums generated by none ,
innodb , or crc32 . |
strict_none | A constant number | Any of the checksums generated by none ,
innodb , or crc32 .
InnoDB prints an error message if a
valid but non-matching checksum is encountered. |
strict_innodb | A checksum calculated in software, using the original algorithm from
InnoDB . |
Any of the checksums generated by none ,
innodb , or crc32 .
InnoDB prints an error message if a
valid but non-matching checksum is encountered. |
strict_crc32 | A checksum calculated using the crc32 algorithm,
possibly done with a hardware assist. |
Any of the checksums generated by none ,
innodb , or crc32 .
InnoDB prints an error message if a
valid but non-matching checksum is encountered. |
Property | Value |
---|---|
Command-Line Format | --innodb-cmp-per-index-enabled |
System Variable | innodb_cmp_per_index_enabled |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enables per-index compression-related statistics in the
INFORMATION_SCHEMA.INNODB_CMP_PER_INDEX
table. Because these statistics can be expensive to gather,
only enable this option on development, test, or slave
instances during performance tuning related to
InnoDB
compressed tables.
For more information, see Section 25.39.7, “The INFORMATION_SCHEMA INNODB_CMP_PER_INDEX and INNODB_CMP_PER_INDEX_RESET Tables”, and Section 15.9.1.4, “Monitoring InnoDB Table Compression at Runtime”.
Property | Value |
---|---|
Command-Line Format | --innodb-commit-concurrency=# |
System Variable | innodb_commit_concurrency |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 1000 |
The number of threads that can commit at the same time. A value of 0 (the default) permits any number of transactions to commit simultaneously.
The value of innodb_commit_concurrency
cannot be changed at runtime from zero to nonzero or vice
versa. The value can be changed from one nonzero value to
another.
Property | Value |
---|---|
Command-Line Format | --innodb-compress-debug=value |
System Variable | innodb_compress_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Enumeration |
Default Value | none |
Valid Values |
|
Compresses all tables using a specified compression algorithm
without having to define a COMPRESSION
attribute for each table. This option is only available if
debugging support is compiled in using the
WITH_DEBUG
CMake option.
For related information, see Section 15.9.2, “InnoDB Page Compression”.
innodb_compression_failure_threshold_pct
Property | Value |
---|---|
Command-Line Format | --innodb-compression-failure-threshold-pct=# |
System Variable | innodb_compression_failure_threshold_pct |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 5 |
Minimum Value | 0 |
Maximum Value | 100 |
Defines the compression failure rate threshold for a table, as
a percentage, at which point MySQL begins adding padding
within compressed
pages to avoid expensive
compression
failures. When this threshold is passed, MySQL begins
to leave additional free space within each new compressed
page, dynamically adjusting the amount of free space up to the
percentage of page size specified by
innodb_compression_pad_pct_max
.
A value of zero disables the mechanism that monitors
compression efficiency and dynamically adjusts the padding
amount.
For more information, see Section 15.9.1.6, “Compression for OLTP Workloads”.
Property | Value |
---|---|
Command-Line Format | --innodb-compression-level=# |
System Variable | innodb_compression_level |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 6 |
Minimum Value | 0 |
Maximum Value | 9 |
Specifies the level of zlib compression to use for
InnoDB
compressed tables and
indexes. A higher value lets you fit more data onto a storage
device, at the expense of more CPU overhead during
compression. A lower value lets you reduce CPU overhead when
storage space is not critical, or you expect the data is not
especially compressible.
For more information, see Section 15.9.1.6, “Compression for OLTP Workloads”.
innodb_compression_pad_pct_max
Property | Value |
---|---|
Command-Line Format | --innodb-compression-pad-pct-max=# |
System Variable | innodb_compression_pad_pct_max |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 50 |
Minimum Value | 0 |
Maximum Value | 75 |
Specifies the maximum percentage that can be reserved as free
space within each compressed
page, allowing room to
reorganize the data and modification log within the page when
a compressed table or
index is updated and the data might be recompressed. Only
applies when
innodb_compression_failure_threshold_pct
is set to a nonzero value, and the rate of
compression
failures passes the cutoff point.
For more information, see Section 15.9.1.6, “Compression for OLTP Workloads”.
Property | Value |
---|---|
Command-Line Format | --innodb-concurrency-tickets=# |
System Variable | innodb_concurrency_tickets |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 5000 |
Minimum Value | 1 |
Maximum Value | 4294967295 |
Determines the number of
threads that can enter
InnoDB
concurrently. A thread is placed in
a queue when it tries to enter InnoDB
if
the number of threads has already reached the concurrency
limit. When a thread is permitted to enter
InnoDB
, it is given a number of “
tickets” equal to the value of
innodb_concurrency_tickets
,
and the thread can enter and leave InnoDB
freely until it has used up its tickets. After that point, the
thread again becomes subject to the concurrency check (and
possible queuing) the next time it tries to enter
InnoDB
. The default value is 5000.
With a small innodb_concurrency_tickets
value, small transactions that only need to process a few rows
compete fairly with larger transactions that process many
rows. The disadvantage of a small
innodb_concurrency_tickets
value is that
large transactions must loop through the queue many times
before they can complete, which extends the amount of time
required to complete their task.
With a large innodb_concurrency_tickets
value, large transactions spend less time waiting for a
position at the end of the queue (controlled by
innodb_thread_concurrency
)
and more time retrieving rows. Large transactions also require
fewer trips through the queue to complete their task. The
disadvantage of a large
innodb_concurrency_tickets
value is that
too many large transactions running at the same time can
starve smaller transactions by making them wait a longer time
before executing.
With a nonzero
innodb_thread_concurrency
value, you may need to adjust the
innodb_concurrency_tickets
value up or down
to find the optimal balance between larger and smaller
transactions. The SHOW ENGINE INNODB STATUS
report shows the number of tickets remaining for an executing
transaction in its current pass through the queue. This data
may also be obtained from the
TRX_CONCURRENCY_TICKETS
column of the
INFORMATION_SCHEMA.INNODB_TRX
table.
For more information, see Section 15.8.4, “Configuring Thread Concurrency for InnoDB”.
Property | Value |
---|---|
Command-Line Format | --innodb-data-file-path=file_name |
System Variable | innodb_data_file_path |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | String |
Default Value | ibdata1:12M:autoextend |
Defines the name, size, and attributes of
InnoDB
system
tablespace data
files. If you do not specify a value for
innodb_data_file_path
, the
default behavior is to create a single auto-extending data
file, slightly larger than 12MB, named
ibdata1
.
The full syntax for a data file specification includes the
file name, file size, and autoextend
and
max
attributes:
file_name
:file_size
[:autoextend[:max:max_file_size
]]
File sizes are specified KB, MB or GB (1024MB) by appending
K
, M
or
G
to the size value. If specifying the data
file size in kilobytes (KB), do so in multiples of 1024.
Otherwise, KB values are rounded to nearest megabyte (MB)
boundary. The sum of the sizes of the files must be at least
slightly larger than 12MB.
A minimum file size is enforced for the first system tablespace data file to ensure that there is enough space for doublewrite buffer pages:
For an innodb_page_size
value of 16KB or less, the minimum file size is 3MB.
For an innodb_page_size
value of 32KB, the minimum file size is 6MB.
For an innodb_page_size
value of 64KB, the minimum file size is 12MB.
The size limit of individual files is determined by your operating system. You can set the file size to more than 4GB on operating systems that support large files. You can also use raw disk partitions as data files.
The autoextend
and max
attributes can be used only for the data file that is
specified last in the
innodb_data_file_path
setting. For example:
[mysqld] innodb_data_file_path=ibdata1:50M;ibdata2:12M:autoextend:max:500MB
If you specify the autoextend
option,
InnoDB
extends the data file if it runs out
of free space. The autoextend
increment is
64MB by default. To modify the increment, change the
innodb_autoextend_increment
system variable.
The full directory path for system tablespace data files is
formed by concatenating the paths defined by
innodb_data_home_dir
and
innodb_data_file_path
.
For more information about configuring system tablespace data files, see Section 15.8.1, “InnoDB Startup Configuration”.
Property | Value |
---|---|
Command-Line Format | --innodb-data-home-dir=dir_name |
System Variable | innodb_data_home_dir |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Directory name |
The common part of the directory path for
InnoDB
system
tablespace data files. This setting does not affect the
location of
file-per-table
tablespaces when
innodb_file_per_table
is
enabled. The default value is the MySQL
data
directory. If you specify the value
as an empty string, you can specify an absolute file paths for
innodb_data_file_path
.
A trailing slash is required when specifying a value for
innodb_data_home_dir
. For
example:
[mysqld] innodb_data_home_dir = /path/to/myibdata/
For related information, see Section 15.8.1, “InnoDB Startup Configuration”.
innodb_ddl_log_crash_reset_debug
Property | Value |
---|---|
Command-Line Format | --innodb-ddl-log-crash-reset-debug |
Introduced | 8.0.3 |
System Variable | innodb_ddl_log_crash_reset_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enable this debug option to reset DDL log crash injection
counters to 1. This option is only available when debugging
support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-deadlock-detect |
System Variable | innodb_deadlock_detect |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
This option is used to disable deadlock detection. On high
concurrency systems, deadlock detection can cause a slowdown
when numerous threads wait for the same lock. At times, it may
be more efficient to disable deadlock detection and rely on
the innodb_lock_wait_timeout
setting for transaction rollback when a deadlock occurs.
For related information, see Section 15.7.5.2, “Deadlock Detection and Rollback”.
Property | Value |
---|---|
Command-Line Format | --innodb-dedicated-server |
Introduced | 8.0.3 |
System Variable | innodb_dedicated_server |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
When innodb_dedicated_server
is enabled, InnoDB
automatically configures
the following options according to the amount of memory
detected on the server:
Only consider enabling this option if your MySQL instance runs on a dedicated server where the MySQL server is able to consume all available system resources. Enabling this option is not recommended if your MySQL instance shares system resources with other applications.
For more information, see Section 15.8.12, “Enabling Automatic Configuration for a Dedicated MySQL Server”.
Property | Value |
---|---|
Command-Line Format | --innodb-default-row-format=value |
System Variable | innodb_default_row_format |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Enumeration |
Default Value | DYNAMIC |
Valid Values |
|
The innodb_default_row_format
option
defines the default row format for InnoDB
tables and user-created temporary tables. The default setting
is DYNAMIC
. Other permitted values are
COMPACT
and REDUNDANT
.
The COMPRESSED
row format, which is not
supported for use in the
system
tablespace, cannot be defined as the default.
Newly created tables use the row format defined by
innodb_default_row_format
when a ROW_FORMAT
option is not specified
explicitly or when ROW_FORMAT=DEFAULT
is
used.
When a ROW_FORMAT
option is not specified
explicitly or when ROW_FORMAT=DEFAULT
is
used, any operation that rebuilds a table also silently
changes the row format of the table to the format defined by
innodb_default_row_format
.
For more information, see
Defining the Row Format of a Table.
Internal InnoDB
temporary tables created by
the server to process queries use the
DYNAMIC
row format, regardless of the
innodb_default_row_format
setting.
Property | Value |
---|---|
Command-Line Format | --innodb-directories=dir_name |
Introduced | 8.0.4 |
System Variable | innodb_directories |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Directory name |
Defines directories to scan at startup for tablespace files. This option is used when moving or restoring tablespace files to a new location while the server is offline. It is also used to specify directories of tablespace files created using an absolute path or that reside outside of the data directory (see Section 15.6.3.6, “Creating a Tablespace Outside of the Data Directory”).
Directories defined by
innodb_data_home_dir
,
innodb_undo_directory
, and
datadir
are automatically
appended to the
innodb_directories
argument
value, regardless of whether the
innodb_directories
option is
specified explicitly.
innodb_directories
may be
specified as an option in a startup command or in a MySQL
option file. Quotes are used around the argument value because
otherwise a semicolon (;) is interpreted as a special
character by some command interpreters. (Unix shells treat it
as a command terminator, for example.)
Startup command:
mysqld --innodb-directories="directory_path_1
;directory_path_2
"
MySQL option file:
[mysqld] innodb_directories="directory_path_1
;directory_path_2
"
Wildcard expressions cannot be used to specify directories.
The innodb_directories
scan
also traverses the subdirectories of specified directories.
Duplicate directories and subdirectories are discarded from
the list of directories to be scanned.
For more information, see Section 15.6.3.8, “Moving Tablespace Files While the Server is Offline”.
innodb_disable_sort_file_cache
Property | Value |
---|---|
Command-Line Format | --innodb-disable-sort-file-cache |
System Variable | innodb_disable_sort_file_cache |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Disables the operating system file system cache for merge-sort
temporary files. The effect is to open such files with the
equivalent of O_DIRECT
.
Property | Value |
---|---|
Command-Line Format | --innodb-doublewrite |
System Variable | innodb_doublewrite |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
When enabled (the default), InnoDB
stores
all data twice, first to the
doublewrite
buffer, then to the actual
data files. This
variable can be turned off with
--skip-innodb-doublewrite
for benchmarks or
cases when top performance is needed rather than concern for
data integrity or possible failures.
If system tablespace data files (ibdata*
files) are located on Fusion-io devices that support atomic
writes, doublewrite buffering is automatically disabled and
Fusion-io atomic writes are used for all data files. Because
the doublewrite buffer setting is global, doublewrite
buffering is also disabled for data files residing on
non-Fusion-io hardware. This feature is only supported on
Fusion-io hardware and only enabled for Fusion-io NVMFS on
Linux. To take full advantage of this feature, an
innodb_flush_method
setting
of O_DIRECT
is recommended.
For related information, see Section 15.6.4, “Doublewrite Buffer”.
Property | Value |
---|---|
Command-Line Format | --innodb-fast-shutdown=# |
System Variable | innodb_fast_shutdown |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1 |
Valid Values |
|
The InnoDB
shutdown mode. If the
value is 0, InnoDB
does a
slow shutdown, a
full purge and a change
buffer merge before shutting down. If the value is 1 (the
default), InnoDB
skips these operations at
shutdown, a process known as a
fast shutdown. If
the value is 2, InnoDB
flushes its logs and
shuts down cold, as if MySQL had crashed; no committed
transactions are lost, but the
crash recovery
operation makes the next startup take longer.
The slow shutdown can take minutes, or even hours in extreme cases where substantial amounts of data are still buffered. Use the slow shutdown technique before upgrading or downgrading between MySQL major releases, so that all data files are fully prepared in case the upgrade process updates the file format.
Use innodb_fast_shutdown=2
in emergency or
troubleshooting situations, to get the absolute fastest
shutdown if data is at risk of corruption.
innodb_fil_make_page_dirty_debug
Property | Value |
---|---|
Command-Line Format | --innodb-fil-make-page-dirty-debug=# |
System Variable | innodb_fil_make_page_dirty_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Maximum Value | 2**32-1 |
By default, setting
innodb_fil_make_page_dirty_debug
to the ID
of a tablespace immediately dirties the first page of the
tablespace. If
innodb_saved_page_number_debug
is set to a non-default value, setting
innodb_fil_make_page_dirty_debug
dirties
the specified page. The
innodb_fil_make_page_dirty_debug
option is
only available if debugging support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-file-per-table |
System Variable | innodb_file_per_table |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
When innodb_file_per_table
is
enabled, tables are created in file-per-table tablespaces by
default. When disabled, tables are created in the system
tablespace by default. For information about file-per-table
tablespaces, see
Section 15.6.3.2, “File-Per-Table Tablespaces”. For information
about the InnoDB
system tablespace, see
Section 15.6.3.1, “The System Tablespace”.
The innodb_file_per_table
variable can be configured at runtime using a
SET
GLOBAL
statement, specified on the command line at
startup, or specified in an option file. Configuration at
runtime requires privileges sufficient to set global system
variables (see Section 5.1.9.1, “System Variable Privileges”)
and immediately affects the operation of all connections.
When a table that resides in a file-per-table tablepace is
truncated or dropped, the freed space is returned to the
operating system. Truncating or dropping a table that resides
in the system tablespace only frees space in the system
tablespace. Freed space in the system tablespace can be used
again for InnoDB
data but is not returned
to the operating system, as system tablespace data files never
shrink.
The innodb_file_per-table
setting does not affect the creation of temporary tables. As
of MySQL 8.0.14, temporary tables are created in session
temporary tablespaces, and in the global temporary tablespace
before that. See
Section 15.6.3.5, “Temporary Tablespaces”.
Property | Value |
---|---|
Command-Line Format | --innodb-fill-factor=# |
System Variable | innodb_fill_factor |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 100 |
Minimum Value | 10 |
Maximum Value | 100 |
InnoDB
performs a bulk load when creating
or rebuilding indexes. This method of index creation is known
as a “sorted index build”.
innodb_fill_factor
defines the percentage
of space on each B-tree page that is filled during a sorted
index build, with the remaining space reserved for future
index growth. For example, setting
innodb_fill_factor
to 80 reserves 20
percent of the space on each B-tree page for future index
growth. Actual percentages may vary. The
innodb_fill_factor
setting is interpreted
as a hint rather than a hard limit.
An innodb_fill_factor
setting
of 100 leaves 1/16 of the space in clustered index pages free
for future index growth.
innodb_fill_factor
applies to both B-tree
leaf and non-leaf pages. It does not apply to external pages
used for TEXT
or
BLOB
entries.
For more information, see Section 15.6.2.3, “Sorted Index Builds”.
Property | Value |
---|---|
Command-Line Format | --innodb-flush-log-at-timeout=# |
System Variable | innodb_flush_log_at_timeout |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1 |
Minimum Value | 1 |
Maximum Value | 2700 |
Write and flush the logs every N
seconds.
innodb_flush_log_at_timeout
allows the timeout period between flushes to be increased in
order to reduce flushing and avoid impacting performance of
binary log group commit. The default setting for
innodb_flush_log_at_timeout
is once per second.
innodb_flush_log_at_trx_commit
Property | Value |
---|---|
Command-Line Format | --innodb-flush-log-at-trx-commit=# |
System Variable | innodb_flush_log_at_trx_commit |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Enumeration |
Default Value | 1 |
Valid Values |
|
Controls the balance between strict ACID compliance for commit operations and higher performance that is possible when commit-related I/O operations are rearranged and done in batches. You can achieve better performance by changing the default value but then you can lose transactions in a crash.
The default setting of 1 is required for full ACID compliance. Logs are written and flushed to disk at each transaction commit.
With a setting of 0, logs are written and flushed to disk once per second. Transactions for which logs have not been flushed can be lost in a crash.
With a setting of 2, logs are written after each transaction commit and flushed to disk once per second. Transactions for which logs have not been flushed can be lost in a crash.
For settings 0 and 2, once-per-second flushing is not 100%
guaranteed. Flushing may occur more frequently due to DDL
changes and other internal InnoDB
activities that cause logs to be flushed independently of
the
innodb_flush_log_at_trx_commit
setting, and sometimes less frequently due to scheduling
issues. If logs are flushed once per second, up to one
second of transactions can be lost in a crash. If logs are
flushed more or less frequently than once per second, the
amount of transactions that can be lost varies
accordingly.
Log flushing frequency is controlled by
innodb_flush_log_at_timeout
,
which allows you to set log flushing frequency to
N
seconds (where
N
is 1 ...
2700
, with a default value of 1). However, any
mysqld process crash can erase up to
N
seconds of transactions.
DDL changes and other internal InnoDB
activities flush the log independently of the
innodb_flush_log_at_trx_commit
setting.
InnoDB
crash recovery
works regardless of the
innodb_flush_log_at_trx_commit
setting.
Transactions are either applied entirely or erased
entirely.
For durability and consistency in a replication setup that
uses InnoDB
with transactions:
If binary logging is enabled, set
sync_binlog=1
.
Always set
innodb_flush_log_at_trx_commit=1
.
Many operating systems and some disk hardware fool the
flush-to-disk operation. They may tell
mysqld that the flush has taken place,
even though it has not. In this case, the durability of
transactions is not guaranteed even with the recommended
settings, and in the worst case, a power outage can corrupt
InnoDB
data. Using a battery-backed disk
cache in the SCSI disk controller or in the disk itself
speeds up file flushes, and makes the operation safer. You
can also try to disable the caching of disk writes in
hardware caches.
Property | Value |
---|---|
Command-Line Format | --innodb-flush-method=value |
System Variable | innodb_flush_method |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | String |
Default Value (Windows) | unbuffered |
Default Value (Unix) | fsync |
Valid Values (Windows) |
|
Valid Values (Unix) |
|
Defines the method used to
flush data to
InnoDB
data
files and log
files, which can affect I/O throughput.
On Unix-like systems, the default value is
fsync
. On Windows, the default value is
unbuffered
.
In MySQL 8.0,
innodb_flush_method
options
may be specified numerically.
The innodb_flush_method
options for
Unix-like systems include:
fsync
or 0
:
InnoDB
uses the
fsync()
system call to flush both the
data and log files. fsync
is the
default setting.
O_DSYNC
or 1
:
InnoDB
uses O_SYNC
to open and flush the log files, and
fsync()
to flush the data files.
InnoDB
does not use
O_DSYNC
directly because there have
been problems with it on many varieties of Unix.
littlesync
or 2
:
This option is used for internal performance testing and
is currently unsupported. Use at your own risk.
nosync
or 3
: This
option is used for internal performance testing and is
currently unsupported. Use at your own risk.
O_DIRECT
or 4
:
InnoDB
uses O_DIRECT
(or directio()
on Solaris) to open the
data files, and uses fsync()
to flush
both the data and log files. This option is available on
some GNU/Linux versions, FreeBSD, and Solaris.
O_DIRECT_NO_FSYNC
or
5
: InnoDB
uses
O_DIRECT
during flushing I/O, but skips
the fsync()
system call afterward. This
setting is suitable for some types of file systems but not
others. If you are not sure whether the file system you
use requires an fsync()
, for example to
preserve all file metadata, use
O_DIRECT
instead.
Prior to 8.0.14, the
O_DIRECT_NO_FSYNC
setting is not
recommended for use on Linux systems. It may cause the
operating system to hang due to file system metadata
becoming unsynchronized. As of MySQL 8.0.14,
InnoDB
calls
fsync()
after creating a new file,
after increasing file size, and after closing a file,
which permits O_DIRECT_NO_FSYNC
mode
to be safely used on EXT4 and XFS file systems. The
fsync()
system call is still skipped
after each write operation.
The innodb_flush_method
options for Windows
systems include:
unbuffered
or 0
:
InnoDB
uses simulated asynchronous I/O
and non-buffered I/O.
normal
or 1
:
InnoDB
uses simulated asynchronous I/O
and buffered I/O.
How each setting affects performance depends on hardware
configuration and workload. Benchmark your particular
configuration to decide which setting to use, or whether to
keep the default setting. Examine the
Innodb_data_fsyncs
status
variable to see the overall number of
fsync()
calls for each setting. The mix of
read and write operations in your workload can affect how a
setting performs. For example, on a system with a hardware
RAID controller and battery-backed write cache,
O_DIRECT
can help to avoid double buffering
between the InnoDB
buffer pool and the
operating system file system cache. On some systems where
InnoDB
data and log files are located on a
SAN, the default value or O_DSYNC
might be
faster for a read-heavy workload with mostly
SELECT
statements. Always test this
parameter with hardware and workload that reflect your
production environment. For general I/O tuning advice, see
Section 8.5.8, “Optimizing InnoDB Disk I/O”.
If innodb_dedicated_server
is
enabled, the
innodb_flush_method
value is
automatically configured if it is not explicitly defined. For
more information, see
Section 15.8.12, “Enabling Automatic Configuration for a Dedicated MySQL Server”.
Property | Value |
---|---|
Command-Line Format | --innodb-flush-neighbors=# |
System Variable | innodb_flush_neighbors |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Enumeration |
Default Value (>= 8.0.3) | 0 |
Default Value (<= 8.0.2) | 1 |
Valid Values |
|
Specifies whether flushing a
page from the InnoDB
buffer pool also
flushes other dirty
pages in the same
extent.
A setting of 0 turns
innodb_flush_neighbors
off and no other
dirty pages are flushed from the buffer pool.
A setting of 1 flushes contiguous dirty pages in the same extent from the buffer pool.
A setting of 2 flushes dirty pages in the same extent from the buffer pool.
When the table data is stored on a traditional HDD storage device, flushing such neighbor pages in one operation reduces I/O overhead (primarily for disk seek operations) compared to flushing individual pages at different times. For table data stored on SSD, seek time is not a significant factor and you can set this option to 0 to spread out write operations. For related information, see Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”.
Property | Value |
---|---|
Command-Line Format | --innodb-flush-sync |
System Variable | innodb_flush_sync |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
The innodb_flush_sync
parameter, which is
enabled by default, causes the
innodb_io_capacity
setting to
be ignored for bursts of I/O activity that occur at
checkpoints. To adhere
to the limit on InnoDB
background I/O
activity defined by the
innodb_io_capacity
setting,
disable innodb_flush_sync
.
For related information, see Section 15.8.7, “Configuring the InnoDB Master Thread I/O Rate”.
Property | Value |
---|---|
Command-Line Format | --innodb-flushing-avg-loops=# |
System Variable | innodb_flushing_avg_loops |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 30 |
Minimum Value | 1 |
Maximum Value | 1000 |
Number of iterations for which InnoDB
keeps
the previously calculated snapshot of the flushing state,
controlling how quickly
adaptive
flushing responds to changing
workloads. Increasing the
value makes the rate of
flush operations change
smoothly and gradually as the workload changes. Decreasing the
value makes adaptive flushing adjust quickly to workload
changes, which can cause spikes in flushing activity if the
workload increases and decreases suddenly.
For related information, see Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”.
Property | Value |
---|---|
Command-Line Format | --innodb-force-load-corrupted |
System Variable | innodb_force_load_corrupted |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Permits InnoDB
to load tables at startup
that are marked as corrupted. Use only during troubleshooting,
to recover data that is otherwise inaccessible. When
troubleshooting is complete, disable this setting and restart
the server.
Property | Value |
---|---|
Command-Line Format | --innodb-force-recovery=# |
System Variable | innodb_force_recovery |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 6 |
The crash recovery
mode, typically only changed in serious troubleshooting
situations. Possible values are from 0 to 6. For the meanings
of these values and important information about
innodb_force_recovery
, see
Section 15.20.2, “Forcing InnoDB Recovery”.
Only set this variable to a value greater than 0 in an
emergency situation so that you can start
InnoDB
and dump your tables. As a safety
measure, InnoDB
prevents
INSERT
,
UPDATE
, or
DELETE
operations when
innodb_force_recovery
is greater than 0.
An innodb_force_recovery
setting of 4 or
greater places InnoDB
into read-only
mode.
These restrictions may cause replication administration
commands to fail with an error, as replication stores the
slave status logs in InnoDB
tables.
Property | Value |
---|---|
Command-Line Format | --innodb-fsync-threshold=# |
Introduced | 8.0.13 |
System Variable | innodb_fsync_threshold |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 2**64-1 |
By default, when InnoDB
creates a new data
file, such as a new log file or tablespace file, it flushes
the contents of the write buffer to disk only after the file
is fully written, which can cause a large amount of disk write
activity to occur at once. To force smaller, periodic flushes,
use innodb_fsync_threshold
to
define a threshold size for the write buffer, in bytes. The
contents of the write buffer are flushed to disk when the
threshold size is reached. The default value of 0 forces the
default behavior.
Specifying a write buffer threshold size to force smaller, periodic flushes may be beneficial in cases where multiple MySQL instances use the same storage devices. For example, creating a new MySQL instance and its associated data files could cause large surges of disk write activity, impeding the performance of other MySQL instances that use the same storage devices. Configuring a write buffer threshold size helps avoid such surges in disk write activity.
Property | Value |
---|---|
System Variable | innodb_ft_aux_table |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | String |
Specifies the qualified name of an InnoDB
table containing a FULLTEXT
index. This
variable is intended for diagnostic purposes and can only be
set at runtime. For example:
SET GLOBAL innodb_ft_aux_table = 'test/t1';
After you set this variable to a name in the format
,
the db_name
/table_name
INFORMATION_SCHEMA
tables
INNODB_FT_INDEX_TABLE
,
INNODB_FT_INDEX_CACHE
,
INNODB_FT_CONFIG
,
INNODB_FT_DELETED
, and
INNODB_FT_BEING_DELETED
show
information about the search index for the specified table.
For more information, see Section 15.14.4, “InnoDB INFORMATION_SCHEMA FULLTEXT Index Tables”.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-cache-size=# |
System Variable | innodb_ft_cache_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 8000000 |
Minimum Value | 1600000 |
Maximum Value | 80000000 |
The memory allocated, in bytes, for the
InnoDB
FULLTEXT
search
index cache, which holds a parsed document in memory while
creating an InnoDB
FULLTEXT
index. Index inserts and updates
are only committed to disk when the
innodb_ft_cache_size
size limit is reached.
innodb_ft_cache_size
defines the cache size
on a per table basis. To set a global limit for all tables,
see
innodb_ft_total_cache_size
.
For more information, see InnoDB Full-Text Index Cache.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-enable-diag-print |
System Variable | innodb_ft_enable_diag_print |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Whether to enable additional full-text search (FTS) diagnostic output. This option is primarily intended for advanced FTS debugging and will not be of interest to most users. Output is printed to the error log and includes information such as:
FTS index sync progress (when the FTS cache limit is reached). For example:
FTS SYNC for table test, deleted count: 100 size: 10000 bytes SYNC words: 100
FTS optimize progress. For example:
FTS start optimize test FTS_OPTIMIZE: optimize "mysql" FTS_OPTIMIZE: processed "mysql"
FTS index build progress. For example:
Number of doc processed: 1000
For FTS queries, the query parsing tree, word weight, query processing time, and memory usage are printed. For example:
FTS Search Processing time: 1 secs: 100 millisec: row(s) 10000 Full Search Memory: 245666 (bytes), Row: 10000
Property | Value |
---|---|
Command-Line Format | --innodb-ft-enable-stopword |
System Variable | innodb_ft_enable_stopword |
Scope | Global, Session |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Specifies that a set of
stopwords is associated
with an InnoDB
FULLTEXT
index at the time the index is created. If the
innodb_ft_user_stopword_table
option is set, the stopwords are taken from that table. Else,
if the
innodb_ft_server_stopword_table
option is set, the stopwords are taken from that table.
Otherwise, a built-in set of default stopwords is used.
For more information, see Section 12.9.4, “Full-Text Stopwords”.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-max-token-size=# |
System Variable | innodb_ft_max_token_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 84 |
Minimum Value | 10 |
Maximum Value | 84 |
Maximum character length of words that are stored in an
InnoDB
FULLTEXT
index.
Setting a limit on this value reduces the size of the index,
thus speeding up queries, by omitting long keywords or
arbitrary collections of letters that are not real words and
are not likely to be search terms.
For more information, see Section 12.9.6, “Fine-Tuning MySQL Full-Text Search”.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-min-token-size=# |
System Variable | innodb_ft_min_token_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 3 |
Minimum Value | 0 |
Maximum Value | 16 |
Minimum length of words that are stored in an
InnoDB
FULLTEXT
index.
Increasing this value reduces the size of the index, thus
speeding up queries, by omitting common words that are
unlikely to be significant in a search context, such as the
English words “a” and “to”. For
content using a CJK (Chinese, Japanese, Korean) character set,
specify a value of 1.
For more information, see Section 12.9.6, “Fine-Tuning MySQL Full-Text Search”.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-num-word-optimize=# |
System Variable | innodb_ft_num_word_optimize |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 2000 |
Number of words to process during each
OPTIMIZE TABLE
operation on an
InnoDB
FULLTEXT
index.
Because a bulk insert or update operation to a table
containing a full-text search index could require substantial
index maintenance to incorporate all changes, you might do a
series of OPTIMIZE TABLE
statements, each picking up where the last left off.
For more information, see Section 12.9.6, “Fine-Tuning MySQL Full-Text Search”.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-result-cache-limit=# |
System Variable | innodb_ft_result_cache_limit |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 2000000000 |
Minimum Value | 1000000 |
Maximum Value | 2**32-1 |
The InnoDB
full-text search query result
cache limit (defined in bytes) per full-text search query or
per thread. Intermediate and final InnoDB
full-text search query results are handled in memory. Use
innodb_ft_result_cache_limit
to place a
size limit on the full-text search query result cache to avoid
excessive memory consumption in case of very large
InnoDB
full-text search query results
(millions or hundreds of millions of rows, for example).
Memory is allocated as required when a full-text search query
is processed. If the result cache size limit is reached, an
error is returned indicating that the query exceeds the
maximum allowed memory.
The maximum value of
innodb_ft_result_cache_limit
for all
platform types and bit sizes is 2**32-1.
innodb_ft_server_stopword_table
Property | Value |
---|---|
Command-Line Format | --innodb-ft-server-stopword-table=db_name/table_name |
System Variable | innodb_ft_server_stopword_table |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | String |
Default Value | NULL |
This option is used to specify your own
InnoDB
FULLTEXT
index
stopword list for all InnoDB
tables. To
configure your own stopword list for a specific
InnoDB
table, use
innodb_ft_user_stopword_table
.
Set innodb_ft_server_stopword_table
to the
name of the table containing a list of stopwords, in the
format
.
db_name
/table_name
The stopword table must exist before you configure
innodb_ft_server_stopword_table
.
innodb_ft_enable_stopword
must be enabled
and innodb_ft_server_stopword_table
option
must be configured before you create the
FULLTEXT
index.
The stopword table must be an InnoDB
table,
containing a single VARCHAR
column named
value
.
For more information, see Section 12.9.4, “Full-Text Stopwords”.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-sort-pll-degree=# |
System Variable | innodb_ft_sort_pll_degree |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 2 |
Minimum Value | 1 |
Maximum Value | 32 |
Number of threads used in parallel to index and tokenize text
in an InnoDB
FULLTEXT
index when building a search
index.
For related information, see
Section 15.6.2.4, “InnoDB FULLTEXT Indexes”, and
innodb_sort_buffer_size
.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-total-cache-size=# |
System Variable | innodb_ft_total_cache_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 640000000 |
Minimum Value | 32000000 |
Maximum Value | 1600000000 |
The total memory allocated, in bytes, for the
InnoDB
full-text search index cache for all
tables. Creating numerous tables, each with a
FULLTEXT
search index, could consume a
significant portion of available memory.
innodb_ft_total_cache_size
defines a global memory limit for all full-text search indexes
to help avoid excessive memory consumption. If the global
limit is reached by an index operation, a forced sync is
triggered.
For more information, see InnoDB Full-Text Index Cache.
Property | Value |
---|---|
Command-Line Format | --innodb-ft-user-stopword-table=db_name/table_name |
System Variable | innodb_ft_user_stopword_table |
Scope | Global, Session |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | String |
Default Value | NULL |
This option is used to specify your own
InnoDB
FULLTEXT
index
stopword list on a specific table. To configure your own
stopword list for all InnoDB
tables, use
innodb_ft_server_stopword_table
.
Set innodb_ft_user_stopword_table
to the
name of the table containing a list of stopwords, in the
format
.
db_name
/table_name
The stopword table must exist before you configure
innodb_ft_user_stopword_table
.
innodb_ft_enable_stopword
must be enabled
and innodb_ft_user_stopword_table
must be
configured before you create the FULLTEXT
index.
The stopword table must be an InnoDB
table,
containing a single VARCHAR
column named
value
.
For more information, see Section 12.9.4, “Full-Text Stopwords”.
Property | Value |
---|---|
Command-Line Format | --innodb-io-capacity=# |
System Variable | innodb_io_capacity |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 200 |
Minimum Value | 100 |
Maximum Value (64-bit platforms) | 2**64-1 |
Maximum Value (32-bit platforms) | 2**32-1 |
The innodb_io_capacity
parameter sets an upper limit on the number of I/O operations
performed per second by InnoDB
background
tasks, such as flushing
pages from the buffer
pool and merging data from the
change buffer.
The innodb_io_capacity
limit
is a total limit for all buffer pool instances. When dirty
pages are flushed, the limit is divided equally among buffer
pool instances.
innodb_io_capacity
should be
set to approximately the number of I/O operations that the
system can perform per second. Ideally, keep the setting as
low as practical, but not so low that background activities
fall behind. If the value is too high, data is removed from
the buffer pool and insert buffer too quickly for caching to
provide a significant benefit.
The default value is 200. For busy systems capable of higher I/O rates, you can set a higher value to help the server handle the background maintenance work associated with a high rate of row changes.
In general, you can increase the value as a function of the
number of drives used for InnoDB
I/O. For example, you can increase the value on systems that
use multiple disks or solid-state disks (SSD).
The default setting of 200 is generally sufficient for a
lower-end SSD. For a higher-end, bus-attached SSD, consider a
higher setting such as 1000, for example. For systems with
individual 5400 RPM or 7200 RPM drives, you might lower the
value to 100
, which represents an estimated
proportion of the I/O operations per second (IOPS) available
to older-generation disk drives that can perform about 100
IOPS.
Although you can specify a very high value such as one million, in practice such large values have little if any benefit. Generally, a value of 20000 or higher is not recommended unless you have proven that lower values are insufficient for your workload.
Consider write workload when tuning
innodb_io_capacity
. Systems
with large write workloads are likely to benefit from a higher
setting. A lower setting may be sufficient for systems with a
small write workload.
You can set innodb_io_capacity
to any
number 100 or greater to a maximum defined by
innodb_io_capacity_max
.
innodb_io_capacity
can be set in the MySQL
option file (my.cnf
or
my.ini
) or changed dynamically using a
SET GLOBAL
statement, which requires
privileges sufficient to set global system variables. See
Section 5.1.9.1, “System Variable Privileges”.
The innodb_flush_sync
configuration option causes the
innodb_io_capacity
setting to
be ignored during bursts of I/O activity that occur at
checkpoints.
innodb_flush_sync
is enabled
by default.
See Section 15.8.7, “Configuring the InnoDB Master Thread I/O Rate” for
more information. For general information about
InnoDB
I/O performance, see
Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-io-capacity-max=# |
System Variable | innodb_io_capacity_max |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | see description |
Minimum Value | 100 |
Maximum Value (Windows, 64-bit platforms) | 2**32-1 |
Maximum Value (Unix, 64-bit platforms) | 2**64-1 |
Maximum Value (32-bit platforms) | 2**32-1 |
If flushing activity falls behind, InnoDB
can flush more aggressively than the limit imposed by
innodb_io_capacity
.
innodb_io_capacity_max
defines an upper
limit the number of I/O operations performed per second by
InnoDB
background tasks in such situations.
The innodb_io_capacity_max
setting is a total limit for all buffer pool instances.
If you specify an
innodb_io_capacity
setting at
startup but do not specify a value for
innodb_io_capacity_max
,
innodb_io_capacity_max
defaults to twice
the value of
innodb_io_capacity
, with a
minimum value of 2000.
When configuring innodb_io_capacity_max
,
twice the innodb_io_capacity
is often a good starting point. The default value of 2000 is
intended for workloads that use a solid-state disk (SSD) or
more than one regular disk drive. A setting of 2000 is likely
too high for workloads that do not use SSD or multiple disk
drives, and could allow too much flushing. For a single
regular disk drive, a setting between 200 and 400 is
recommended. For a high-end, bus-attached SSD, consider a
higher setting such as 2500. As with the
innodb_io_capacity
setting,
keep the setting as low as practical, but not so low that
InnoDB
cannot sufficiently extend beyond
the innodb_io_capacity
limit,
if necessary.
Consider write workload when tuning
innodb_io_capacity_max
. Systems with large
write workloads may benefit from a higher setting. A lower
setting may be sufficient for systems with a small write
workload.
innodb_io_capacity_max
cannot
be set to a value lower than the
innodb_io_capacity
value.
Setting
innodb_io_capacity_max
to
DEFAULT
using a
SET
statement (SET GLOBAL
innodb_io_capacity_max=DEFAULT
) sets
innodb_io_capacity_max
to the
maximum value.
For related information, see Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”.
innodb_limit_optimistic_insert_debug
Property | Value |
---|---|
Command-Line Format | --innodb-limit-optimistic-insert-debug=# |
System Variable | innodb_limit_optimistic_insert_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 2**32-1 |
Limits the number of records per
B-tree page. A default
value of 0 means that no limit is imposed. This option is only
available if debugging support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-lock-wait-timeout=# |
System Variable | innodb_lock_wait_timeout |
Scope | Global, Session |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 50 |
Minimum Value | 1 |
Maximum Value | 1073741824 |
The length of time in seconds an InnoDB
transaction waits for
a row lock before giving
up. The default value is 50 seconds. A transaction that tries
to access a row that is locked by another
InnoDB
transaction waits at most this many
seconds for write access to the row before issuing the
following error:
ERROR 1205 (HY000): Lock wait timeout exceeded; try restarting transaction
When a lock wait timeout occurs, the current statement is
rolled back (not the
entire transaction). To have the entire transaction roll back,
start the server with the
--innodb-rollback-on-timeout
option. See also Section 15.20.4, “InnoDB Error Handling”.
You might decrease this value for highly interactive applications or OLTP systems, to display user feedback quickly or put the update into a queue for processing later. You might increase this value for long-running back-end operations, such as a transform step in a data warehouse that waits for other large insert or update operations to finish.
innodb_lock_wait_timeout
applies to
InnoDB
row locks. A MySQL
table lock does not
happen inside InnoDB
and this timeout does
not apply to waits for table locks.
The lock wait timeout value does not apply to
deadlocks when
innodb_deadlock_detect
is
enabled (the default) because InnoDB
detects deadlocks immediately and rolls back one of the
deadlocked transactions. When
innodb_deadlock_detect
is
disabled, InnoDB
relies on
innodb_lock_wait_timeout
for
transaction rollback when a deadlock occurs. See
Section 15.7.5.2, “Deadlock Detection and Rollback”.
innodb_lock_wait_timeout
can
be set at runtime with the SET GLOBAL
or
SET SESSION
statement. Changing the
GLOBAL
setting requires privileges
sufficient to set global system variables (see
Section 5.1.9.1, “System Variable Privileges”) and affects the
operation of all clients that subsequently connect. Any client
can change the SESSION
setting for
innodb_lock_wait_timeout
,
which affects only that client.
Property | Value |
---|---|
Command-Line Format | --innodb-log-buffer-size=# |
System Variable (>= 8.0.11) | innodb_log_buffer_size |
System Variable (<= 8.0.4) | innodb_log_buffer_size |
Scope (>= 8.0.11) | Global |
Scope (<= 8.0.4) | Global |
Dynamic (>= 8.0.11) | Yes |
Dynamic (<= 8.0.4) | No |
SET_VAR Hint Applies (>= 8.0.11) |
No |
SET_VAR Hint Applies (<= 8.0.4) |
No |
Type | Integer |
Default Value | 16777216 |
Minimum Value | 1048576 |
Maximum Value | 4294967295 |
The size in bytes of the buffer that InnoDB
uses to write to the log
files on disk. The default is 16MB. A large
log buffer enables
large transactions to
run without the need to write the log to disk before the
transactions commit. Thus,
if you have transactions that update, insert, or delete many
rows, making the log buffer larger saves disk I/O. For related
information, see
Memory Configuration, and
Section 8.5.4, “Optimizing InnoDB Redo Logging”. For general I/O
tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
innodb_log_checkpoint_fuzzy_now
Property | Value |
---|---|
Command-Line Format | --innodb-log-checkpoint-fuzzy-now |
Introduced | 8.0.13 |
System Variable | innodb_log_checkpoint_fuzzy_now |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enable this debug option to force InnoDB
to
write a fuzzy checkpoint. This option is only available if
debugging support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-log-checkpoint-now |
System Variable | innodb_log_checkpoint_now |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enable this debug option to force InnoDB
to
write a checkpoint. This option is only available if debugging
support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-log-checksums |
System Variable | innodb_log_checksums |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Enables or disables checksums for redo log pages.
innodb_log_checksums=ON
enables the
CRC-32C
checksum algorithm for redo log
pages. When innodb_log_checksums
is
disabled, the contents of the redo log page checksum field are
ignored.
Checksums on the redo log header page and redo log checkpoint pages are never disabled.
Property | Value |
---|---|
Command-Line Format | --innodb-log-compressed-pages |
System Variable | innodb_log_compressed_pages |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Specifies whether images of re-compressed pages are written to the redo log. Re-compression may occur when changes are made to compressed data.
innodb_log_compressed_pages
is enabled by
default to prevent corruption that could occur if a different
version of the zlib
compression algorithm
is used during recovery. If you are certain that the
zlib
version will not change, you can
disable innodb_log_compressed_pages
to
reduce redo log generation for workloads that modify
compressed data.
To measure the effect of enabling or disabling
innodb_log_compressed_pages
, compare redo
log generation for both settings under the same workload.
Options for measuring redo log generation include observing
the Log sequence number
(LSN) in the
LOG
section of
SHOW ENGINE
INNODB STATUS
output, or monitoring
Innodb_os_log_written
status
for the number of bytes written to the redo log files.
For related information, see Section 15.9.1.6, “Compression for OLTP Workloads”.
Property | Value |
---|---|
Command-Line Format | --innodb-log-file-size=# |
System Variable | innodb_log_file_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 50331648 |
Minimum Value | 4194304 |
Maximum Value | 512GB / innodb_log_files_in_group |
The size in bytes of each log
file in a log
group. The combined size of log files
(innodb_log_file_size
*
innodb_log_files_in_group
)
cannot exceed a maximum value that is slightly less than
512GB. A pair of 255 GB log files, for example, approaches the
limit but does not exceed it. The default value is 48MB.
Generally, the combined size of the log files should be large enough that the server can smooth out peaks and troughs in workload activity, which often means that there is enough redo log space to handle more than an hour of write activity. The larger the value, the less checkpoint flush activity is required in the buffer pool, saving disk I/O. Larger log files also make crash recovery slower, although improvements to recovery performance make log file size less of a consideration than it was in earlier versions of MySQL.
The minimum innodb_log_file_size
is 4MB.
For related information, see Redo Log File Configuration. For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
If innodb_dedicated_server
is
enabled, the
innodb_log_file_size
value is
automatically configured if it is not explicitly defined. For
more information, see
Section 15.8.12, “Enabling Automatic Configuration for a Dedicated MySQL Server”.
Property | Value |
---|---|
Command-Line Format | --innodb-log-files-in-group=# |
System Variable | innodb_log_files_in_group |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 2 |
Minimum Value | 2 |
Maximum Value | 100 |
The number of log files
in the log group.
InnoDB
writes to the files in a circular
fashion. The default (and recommended) value is 2. The
location of the files is specified by
innodb_log_group_home_dir
.
The combined size of log files
(innodb_log_file_size
*
innodb_log_files_in_group
) can be up to
512GB.
For related information, see Redo Log File Configuration.
Property | Value |
---|---|
Command-Line Format | --innodb-log-group-home-dir=dir_name |
System Variable | innodb_log_group_home_dir |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Directory name |
The directory path to the InnoDB
redo log files, whose
number is specified by
innodb_log_files_in_group
. If
you do not specify any InnoDB
log
variables, the default is to create two files named
ib_logfile0
and
ib_logfile1
in the MySQL data directory.
Log file size is given by the
innodb_log_file_size
system
variable.
For related information, see Redo Log File Configuration.
Property | Value |
---|---|
Command-Line Format | --innodb-log-spin-cpu-abs-lwm=# |
Introduced | 8.0.11 |
System Variable | innodb_log_spin_cpu_abs_lwm |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 80 |
Minimum Value | 0 |
Maximum Value | 4294967295 |
Defines the minimum amount of CPU usage below which user threads no longer spin while waiting for flushed redo. The value is expressed as a sum of CPU core usage. For example, The default value of 80 is 80% of a single CPU core. On a system with a multi-core processor, a value of 150 represents 100% usage of one CPU core plus 50% usage of a second CPU core.
For related information, see Section 8.5.4, “Optimizing InnoDB Redo Logging”.
Property | Value |
---|---|
Command-Line Format | --innodb-log-spin-cpu-pct-hwm=# |
Introduced | 8.0.11 |
System Variable | innodb_log_spin_cpu_pct_hwm |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 50 |
Minimum Value | 0 |
Maximum Value | 100 |
Defines the maximum amount of CPU usage above which user threads no longer spin while waiting for flushed redo. The value is expressed as a percentage of the combined total processing power of all CPU cores. The default value is 50%. For example, 100% usage of two CPU cores is 50% of the combined CPU processing power on a server with four CPU cores.
The
innodb_log_spin_cpu_pct_hwm
configuration option respects processor affinity. For example,
if a server has 48 cores but the mysqld
process is pinned to only four CPU cores, the other 44 CPU
cores are ignored.
For related information, see Section 8.5.4, “Optimizing InnoDB Redo Logging”.
innodb_log_wait_for_flush_spin_hwm
Property | Value |
---|---|
Command-Line Format | --innodb-log-wait-for-flush-spin-hwm=# |
Introduced | 8.0.11 |
System Variable | innodb_log_wait_for_flush_spin_hwm |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 400 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 2**64-1 |
Maximum Value (32-bit platforms) | 2**32-1 |
Defines the maximum average log flush time beyond which user threads no longer spin while waiting for flushed redo. The default value is 400 microseconds.
For related information, see Section 8.5.4, “Optimizing InnoDB Redo Logging”.
Property | Value |
---|---|
Command-Line Format | --innodb-log-write-ahead-size=# |
System Variable | innodb_log_write_ahead_size |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 8192 |
Minimum Value | 512 (log file block size) |
Maximum Value | Equal to innodb_page_size |
Defines the write-ahead block size for the redo log, in bytes.
To avoid “read-on-write”, set
innodb_log_write_ahead_size
to match the operating system or file system cache block size.
The default setting is 8192 bytes. Read-on-write occurs when
redo log blocks are not entirely cached to the operating
system or file system due to a mismatch between write-ahead
block size for the redo log and operating system or file
system cache block size.
Valid values for
innodb_log_write_ahead_size
are multiples of the InnoDB
log file block
size (2n). The minimum value is the
InnoDB
log file block size (512).
Write-ahead does not occur when the minimum value is
specified. The maximum value is equal to the
innodb_page_size
value. If
you specify a value for
innodb_log_write_ahead_size
that is larger than the
innodb_page_size
value, the
innodb_log_write_ahead_size
setting is
truncated to the
innodb_page_size
value.
Setting the
innodb_log_write_ahead_size
value too low in relation to the operating system or file
system cache block size results in
“read-on-write”. Setting the value too high may
have a slight impact on fsync
performance
for log file writes due to several blocks being written at
once.
For related information, see Section 8.5.4, “Optimizing InnoDB Redo Logging”.
Property | Value |
---|---|
Command-Line Format | --innodb-lru-scan-depth=# |
System Variable | innodb_lru_scan_depth |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1024 |
Minimum Value | 100 |
Maximum Value (64-bit platforms) | 2**64-1 |
Maximum Value (32-bit platforms) | 2**32-1 |
A parameter that influences the algorithms and heuristics for
the flush operation for the
InnoDB
buffer pool. Primarily
of interest to performance experts tuning I/O-intensive
workloads. It specifies, per buffer pool instance, how far
down the buffer pool LRU page list the page cleaner thread
scans looking for dirty
pages to flush. This is a background operation
performed once per second.
A setting smaller than the default is generally suitable for most workloads. A value that is much higher than necessary may impact performance. Only consider increasing the value if you have spare I/O capacity under a typical workload. Conversely, if a write-intensive workload saturates your I/O capacity, decrease the value, especially in the case of a large buffer pool.
When tuning innodb_lru_scan_depth
, start
with a low value and configure the setting upward with the
goal of rarely seeing zero free pages. Also, consider
adjusting innodb_lru_scan_depth
when
changing the number of buffer pool instances, since
innodb_lru_scan_depth
*
innodb_buffer_pool_instances
defines the amount of work performed by the page cleaner
thread each second.
For related information, see Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”. For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-max-dirty-pages-pct=# |
System Variable | innodb_max_dirty_pages_pct |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Numeric |
Default Value (>= 8.0.3) | 90 |
Default Value (<= 8.0.2) | 75 |
Minimum Value | 0 |
Maximum Value | 99.99 |
InnoDB
tries to
flush data from the
buffer pool so that
the percentage of dirty
pages does not exceed this value.
The
innodb_max_dirty_pages_pct
setting establishes a target for flushing activity. It does
not affect the rate of flushing. For information about
managing the rate of flushing, see
Section 15.8.3.5, “Configuring InnoDB Buffer Pool Flushing”.
For related information, see Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”. For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
innodb_max_dirty_pages_pct_lwm
Property | Value |
---|---|
Command-Line Format | --innodb-max-dirty-pages-pct-lwm=# |
System Variable | innodb_max_dirty_pages_pct_lwm |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Numeric |
Default Value (>= 8.0.3) | 10 |
Default Value (<= 8.0.2) | 0 |
Minimum Value | 0 |
Maximum Value | 99.99 |
Defines a low water mark representing the percentage of dirty pages at which preflushing is enabled to control the dirty page ratio. A value of 0 disables the pre-flushing behavior entirely. For more information, see Section 15.8.3.6, “Fine-tuning InnoDB Buffer Pool Flushing”.
Property | Value |
---|---|
Command-Line Format | --innodb-max-purge-lag=# |
System Variable | innodb_max_purge_lag |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 4294967295 |
Defines the maximum length of the purge queue. The default value of 0 indicates no limit (no delays).
Use this option to impose a delay for
INSERT
,
UPDATE
, and
DELETE
operations when
purge operations are lagging
(see Section 15.3, “InnoDB Multi-Versioning”).
The InnoDB
transaction system maintains a
list of transactions that have index records delete-marked by
UPDATE
or
DELETE
operations. The length
of the list represents the
purge_lag
value. When
purge_lag
exceeds
innodb_max_purge_lag
,
INSERT
,
UPDATE
, and
DELETE
operations are delayed.
Prior to MySQL 8.0.14, the delay calculation is
(purge_lag/innodb_max_purge_lag - 0.5) *
10000
, which results in a minimum delay of 5000
microseconds. As of MySQL 8.0.14, the delay calculation is
(purge_lag/innodb_max_purge_lag - 0.9995) *
10000
, which results in a minimum delay of 5
microseconds.
To prevent excessive delays in extreme situations where
purge_lag
becomes huge, you can
limit the delay by setting the
innodb_max_purge_lag_delay
configuration option. The delay is computed at the beginning
of a purge batch.
A typical setting for a problematic workload might be 1
million, assuming that transactions are small, only 100 bytes
in size, and it is permissible to have 100MB of unpurged
InnoDB
table rows.
The lag value is displayed as the history list length in the
TRANSACTIONS
section of
InnoDB Monitor
output. The lag value is 20 in this example output:
------------ TRANSACTIONS ------------ Trx id counter 0 290328385 Purge done for trx's n:o < 0 290315608 undo n:o < 0 17 History list length 20
For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-max-purge-lag-delay=# |
System Variable | innodb_max_purge_lag_delay |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Specifies the maximum delay in microseconds for the delay
imposed by the
innodb_max_purge_lag
configuration option. The specified value is the upper limit
on the delay period computed from the formula based on the
value of
innodb_max_purge_lag
.
For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-max-undo-log-size=# |
System Variable | innodb_max_undo_log_size |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1073741824 |
Minimum Value | 10485760 |
Maximum Value | 2**64-1 |
Defines a threshold size for undo tablespaces. If an undo
tablespace exceeds the threshold, it can be marked for
truncation when
innodb_undo_log_truncate
is
enabled. The default value is 1073741824 bytes (1024 MiB).
For more information, see Truncating Undo Tablespaces.
innodb_merge_threshold_set_all_debug
Property | Value |
---|---|
Command-Line Format | --innodb-merge-threshold-set-all-debug=# |
System Variable | innodb_merge_threshold_set_all_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 50 |
Minimum Value | 1 |
Maximum Value | 50 |
Defines a page-full percentage value for index pages that
overrides the current MERGE_THRESHOLD
setting for all indexes that are currently in the dictionary
cache. This option is only available if debugging support is
compiled in using the WITH_DEBUG
CMake option. For related information, see
Section 15.8.11, “Configuring the Merge Threshold for Index Pages”.
Property | Value |
---|---|
Command-Line Format | --innodb-monitor-disable=[counter|module|pattern|all] |
System Variable | innodb_monitor_disable |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | String |
Disables InnoDB
metrics counters.
Counter data may be queried using the
INFORMATION_SCHEMA.INNODB_METRICS
table. For usage information, see
Section 15.14.6, “InnoDB INFORMATION_SCHEMA Metrics Table”.
innodb_monitor_disable='latch'
disables
statistics collection for
SHOW ENGINE
INNODB MUTEX
. For more information, see
Section 13.7.6.15, “SHOW ENGINE Syntax”.
Property | Value |
---|---|
Command-Line Format | --innodb-monitor-enable=[counter|module|pattern|all] |
System Variable | innodb_monitor_enable |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | String |
Enables InnoDB
metrics counters.
Counter data may be queried using the
INFORMATION_SCHEMA.INNODB_METRICS
table. For usage information, see
Section 15.14.6, “InnoDB INFORMATION_SCHEMA Metrics Table”.
innodb_monitor_enable='latch'
enables
statistics collection for
SHOW ENGINE
INNODB MUTEX
. For more information, see
Section 13.7.6.15, “SHOW ENGINE Syntax”.
Property | Value |
---|---|
Command-Line Format | --innodb-monitor-reset=[counter|module|pattern|all] |
System Variable | innodb_monitor_reset |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | String |
Resets the count value for InnoDB
metrics counters
to zero. Counter data may be queried using the
INFORMATION_SCHEMA.INNODB_METRICS
table. For usage information, see
Section 15.14.6, “InnoDB INFORMATION_SCHEMA Metrics Table”.
innodb_monitor_reset='latch'
resets
statistics reported by
SHOW ENGINE
INNODB MUTEX
. For more information, see
Section 13.7.6.15, “SHOW ENGINE Syntax”.
Property | Value |
---|---|
Command-Line Format | --innodb-monitor-reset-all=[counter|module|pattern|all] |
System Variable | innodb_monitor_reset_all |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | String |
Resets all values (minimum, maximum, and so on) for
InnoDB
metrics counters.
Counter data may be queried using the
INFORMATION_SCHEMA.INNODB_METRICS
table. For usage information, see
Section 15.14.6, “InnoDB INFORMATION_SCHEMA Metrics Table”.
Property | Value |
---|---|
Command-Line Format | --innodb-numa-interleave |
System Variable | innodb_numa_interleave |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enables the NUMA interleave memory policy for allocation of
the InnoDB
buffer pool. When
innodb_numa_interleave
is enabled, the NUMA
memory policy is set to MPOL_INTERLEAVE
for
the mysqld process. After the
InnoDB
buffer pool is allocated, the NUMA
memory policy is set back to MPOL_DEFAULT
.
For the innodb_numa_interleave
option to be
available, MySQL must be compiled on a NUMA-enabled Linux
system.
CMake sets the default
WITH_NUMA
value based on whether
the current platform has NUMA
support. For
more information, see
Section 2.9.4, “MySQL Source-Configuration Options”.
Property | Value |
---|---|
Command-Line Format | --innodb-old-blocks-pct=# |
System Variable | innodb_old_blocks_pct |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 37 |
Minimum Value | 5 |
Maximum Value | 95 |
Specifies the approximate percentage of the
InnoDB
buffer pool used for
the old block sublist. The
range of values is 5 to 95. The default value is 37 (that is,
3/8 of the pool). Often used in combination with
innodb_old_blocks_time
.
For more information, see Section 15.8.3.3, “Making the Buffer Pool Scan Resistant”. For information about buffer pool management, the LRU algorithm, and eviction policies, see Section 15.5.1, “Buffer Pool”.
Property | Value |
---|---|
Command-Line Format | --innodb-old-blocks-time=# |
System Variable | innodb_old_blocks_time |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1000 |
Minimum Value | 0 |
Maximum Value | 2**32-1 |
Non-zero values protect against the buffer pool being filled by data that is referenced only for a brief period, such as during a full table scan. Increasing this value offers more protection against full table scans interfering with data cached in the buffer pool.
Specifies how long in milliseconds a block inserted into the old sublist must stay there after its first access before it can be moved to the new sublist. If the value is 0, a block inserted into the old sublist moves immediately to the new sublist the first time it is accessed, no matter how soon after insertion the access occurs. If the value is greater than 0, blocks remain in the old sublist until an access occurs at least that many milliseconds after the first access. For example, a value of 1000 causes blocks to stay in the old sublist for 1 second after the first access before they become eligible to move to the new sublist.
The default value is 1000.
This configuration option is often used in combination with
innodb_old_blocks_pct
. For
more information, see
Section 15.8.3.3, “Making the Buffer Pool Scan Resistant”. For
information about buffer pool management, the
LRU algorithm, and
eviction policies, see
Section 15.5.1, “Buffer Pool”.
innodb_online_alter_log_max_size
Property | Value |
---|---|
Command-Line Format | --innodb-online-alter-log-max-size=# |
System Variable | innodb_online_alter_log_max_size |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 134217728 |
Minimum Value | 65536 |
Maximum Value | 2**64-1 |
Specifies an upper limit in bytes on the size of the temporary
log files used during online
DDL operations for InnoDB
tables.
There is one such log file for each index being created or
table being altered. This log file stores data inserted,
updated, or deleted in the table during the DDL operation. The
temporary log file is extended when needed by the value of
innodb_sort_buffer_size
, up
to the maximum specified by
innodb_online_alter_log_max_size
. If a
temporary log file exceeds the upper size limit, the
ALTER TABLE
operation fails and
all uncommitted concurrent DML operations are rolled back.
Thus, a large value for this option allows more DML to happen
during an online DDL operation, but also extends the period of
time at the end of the DDL operation when the table is locked
to apply the data from the log.
Property | Value |
---|---|
Command-Line Format | --innodb-open-files=# |
System Variable | innodb_open_files |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | -1 (signifies autosizing; do not assign this literal value) |
Minimum Value | 10 |
Maximum Value | 4294967295 |
This configuration option is only relevant if you use multiple
InnoDB
tablespaces. It
specifies the maximum number of
.ibd
files that MySQL can keep open at one time. The minimum
value is 10. The default value is 300 if
innodb_file_per_table
is not
enabled, and the higher of 300 and
table_open_cache
otherwise.
The file descriptors used for .ibd
files
are for InnoDB
tables only. They are
independent of those specified by the
--open-files-limit
server
option, and do not affect the operation of the table cache.
For general I/O tuning advice, see
Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-optimize-fulltext-only |
System Variable | innodb_optimize_fulltext_only |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Changes the way OPTIMIZE TABLE
operates on InnoDB
tables. Intended to be
enabled temporarily, during maintenance operations for
InnoDB
tables with
FULLTEXT
indexes.
By default, OPTIMIZE TABLE
reorganizes data in the
clustered index of
the table. When this option is enabled,
OPTIMIZE TABLE
skips the
reorganization of table data, and instead processes newly
added, deleted, and updated token data for
InnoDB
FULLTEXT
indexes.
For more information, see Optimizing InnoDB Full-Text Indexes.
Property | Value |
---|---|
Command-Line Format | --innodb-page-cleaners=# |
System Variable | innodb_page_cleaners |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 4 |
Minimum Value | 1 |
Maximum Value | 64 |
The number of page cleaner threads that flush dirty pages from
buffer pool instances. Page cleaner threads perform flush list
and LRU flushing. When there are multiple page cleaner
threads, buffer pool flushing tasks for each buffer pool
instance are dispatched to idle page cleaner threads. The
innodb_page_cleaners
default value is 4. If
the number of page cleaner threads exceeds the number of
buffer pool instances, innodb_page_cleaners
is automatically set to the same value as
innodb_buffer_pool_instances
.
If your workload is write-IO bound when flushing dirty pages from buffer pool instances to data files, and if your system hardware has available capacity, increasing the number of page cleaner threads may help improve write-IO throughput.
Multithreaded page cleaner support extends to shutdown and recovery phases.
The setpriority()
system call is used on
Linux platforms where it is supported, and where the
mysqld execution user is authorized to give
page_cleaner
threads priority over other
MySQL and InnoDB
threads to help page
flushing keep pace with the current workload.
setpriority()
support is indicated by this
InnoDB
startup message:
[Note] InnoDB: If the mysqld execution user is authorized, page cleaner thread priority can be changed. See the man page of setpriority().
For systems where server startup and shutdown is not managed
by systemd, mysqld execution user
authorization can be configured in
/etc/security/limits.conf
. For example,
if mysqld is run under the
mysql
user, you can authorize the
mysql
user by adding these lines to
/etc/security/limits.conf
:
mysql hard nice -20 mysql soft nice -20
For systemd managed systems, the same can be achieved by
specifying LimitNICE=-20
in a localized
systemd configuration file. For example, create a file named
override.conf
in
/etc/systemd/system/mysqld.service.d/override.conf
and add this entry:
[Service] LimitNICE=-20
After creating or changing override.conf
,
reload the systemd configuration, then tell systemd to restart
the MySQL service:
systemctl daemon-reload systemctl restart mysqld # RPM platforms systemctl restart mysql # Debian platforms
For more information about using a localized systemd configuration file, see Configuring systemd for MySQL.
After authorizing the mysqld execution
user, use the cat command to verify the
configured Nice
limits for the
mysqld process:
shell> cat /proc/mysqld_pid
/limits | grep nice
Max nice priority 18446744073709551596 18446744073709551596
Property | Value |
---|---|
Command-Line Format | --innodb-page-size=# |
System Variable | innodb_page_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Enumeration |
Default Value | 16384 |
Valid Values |
|
Specifies the page size
for InnoDB
tablespaces. Values can
be specified in bytes or kilobytes. For example, a 16 kilobyte
page size value can be specified as 16384, 16KB, or 16k.
innodb_page_size
can only be
configured prior to initializing the MySQL instance and cannot
be changed afterward. If no value is specified, the instance
is initialized using the default page size. See
Section 15.8.1, “InnoDB Startup Configuration”.
For both 32KB and 64KB page sizes, the maximum row length is
approximately 16000 bytes.
ROW_FORMAT=COMPRESSED
is not supported when
innodb_page_size
is set to 32KB or 64KB.
For innodb_page_size=32KB
, extent size is
2MB. For innodb_page_size=64KB
, extent size
is 4MB.
innodb_log_buffer_size
should
be set to at least 16M (the default) when using 32KB or 64KB
page sizes.
The default 16KB page size or larger is appropriate for a wide
range of workloads,
particularly for queries involving table scans and DML
operations involving bulk updates. Smaller page sizes might be
more efficient for OLTP
workloads involving many small writes, where contention can be
an issue when single pages contain many rows. Smaller pages
might also be efficient with
SSD storage devices, which
typically use small block sizes. Keeping the
InnoDB
page size close to the storage
device block size minimizes the amount of unchanged data that
is rewritten to disk.
The minimum file size for the first system tablespace data
file (ibdata1
) differs depending on the
innodb_page_size
value. See
the innodb_data_file_path
option description for more information.
For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-parallel-read-threads=# |
Introduced | 8.0.14 |
System Variable | innodb_parallel_read_threads |
Scope | Session |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 4 |
Minimum Value | 1 |
Maximum Value | 256 |
Defines the number of threads that can be used for parallel
clustered index reads. Parallel read threads can improve
CHECK TABLE
performance.
InnoDB
reads the clustered index twice
during a CHECK TABLE
operation.
The second read can be performed in parallel. This feature
does not apply to secondary index scans. The
innodb_parallel_read_threads
session variable must be set to a value greater than 1 for
parallel clustered index reads to occur. The actual number of
threads used to perform a parallel clustered index read is
determined by the
innodb_parallel_read_threads
setting or the number of index subtrees to scan, whichever is
smaller. The pages read into the buffer pool during the scan
are kept at the tail of the buffer pool LRU list so that they
can be discarded quickly when free buffer pool pages are
required.
Property | Value |
---|---|
Command-Line Format | --innodb-print-all-deadlocks |
System Variable | innodb_print_all_deadlocks |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
When this option is enabled, information about all
deadlocks in
InnoDB
user transactions is recorded in the
mysqld
error
log. Otherwise, you see information about only the last
deadlock, using the SHOW ENGINE INNODB
STATUS
command. An occasional
InnoDB
deadlock is not necessarily an
issue, because InnoDB
detects the condition
immediately and rolls back one of the transactions
automatically. You might use this option to troubleshoot why
deadlocks are occurring if an application does not have
appropriate error-handling logic to detect the rollback and
retry its operation. A large number of deadlocks might
indicate the need to restructure transactions that issue
DML or SELECT ... FOR
UPDATE
statements for multiple tables, so that each
transaction accesses the tables in the same order, thus
avoiding the deadlock condition.
For related information, see Section 15.7.5, “Deadlocks in InnoDB”.
Property | Value |
---|---|
Command-Line Format | --innodb-print-ddl-logs |
Introduced | 8.0.3 |
System Variable | innodb_print_ddl_logs |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enabling this option causes MySQL to write DDL logs to
stderr
. For more information, see
Viewing DDL Logs.
Property | Value |
---|---|
Command-Line Format | --innodb-purge-batch-size=# |
System Variable | innodb_purge_batch_size |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 300 |
Minimum Value | 1 |
Maximum Value | 5000 |
Defines the number of undo log pages that purge parses and
processes in one batch from the
history list. In a
multithreaded purge configuration, the coordinator purge
thread divides innodb_purge_batch_size
by
innodb_purge_threads
and
assigns that number of pages to each purge thread. The
innodb_purge_batch_size
option also defines
the number of undo log pages that purge frees after every 128
iterations through the undo logs.
The innodb_purge_batch_size
option is
intended for advanced performance tuning in combination with
the innodb_purge_threads
setting. Most MySQL users need not change
innodb_purge_batch_size
from its default
value.
For related information, see Section 15.8.9, “Configuring InnoDB Purge Scheduling”.
Property | Value |
---|---|
Command-Line Format | --innodb-purge-threads=# |
System Variable | innodb_purge_threads |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 4 |
Minimum Value | 1 |
Maximum Value | 32 |
The number of background threads devoted to the
InnoDB
purge operation. A minimum
value of 1 signifies that the purge operation is always
performed by a background thread, never as part of the
master thread.
Running the purge operation in one or more background threads
helps reduce internal contention within
InnoDB
, improving scalability. Increasing
the value to greater than 1 creates that many separate purge
threads, which can improve efficiency on systems where
DML operations are performed
on multiple tables. The maximum is 32.
For related information, see Section 15.8.9, “Configuring InnoDB Purge Scheduling”.
innodb_purge_rseg_truncate_frequency
Property | Value |
---|---|
Command-Line Format | --innodb-purge-rseg-truncate-frequency=# |
System Variable | innodb_purge_rseg_truncate_frequency |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 128 |
Minimum Value | 1 |
Maximum Value | 128 |
Defines the frequency with which the purge system frees rollback segments in terms of the number of times that purge is invoked. An undo tablespace cannot be truncated until its rollback segments are freed. Normally, the purge system frees rollback segments once every 128 times that purge is invoked. The default value is 128. Reducing this value increases the frequency with which the purge thread frees rollback segments.
innodb_purge_rseg_truncate_frequency
is
intended for use with
innodb_undo_log_truncate
. For
more information, see
Truncating Undo Tablespaces.
Property | Value |
---|---|
Command-Line Format | --innodb-random-read-ahead |
System Variable | innodb_random_read_ahead |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enables the random
read-ahead technique
for optimizing InnoDB
I/O.
For details about performance considerations for different types of read-ahead requests, see Section 15.8.3.4, “Configuring InnoDB Buffer Pool Prefetching (Read-Ahead)”. For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-read-ahead-threshold=# |
System Variable | innodb_read_ahead_threshold |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 56 |
Minimum Value | 0 |
Maximum Value | 64 |
Controls the sensitivity of linear
read-ahead that
InnoDB
uses to prefetch pages into the
buffer pool. If
InnoDB
reads at least
innodb_read_ahead_threshold
pages
sequentially from an extent
(64 pages), it initiates an asynchronous read for the entire
following extent. The permissible range of values is 0 to 64.
A value of 0 disables read-ahead. For the default of 56,
InnoDB
must read at least 56 pages
sequentially from an extent to initiate an asynchronous read
for the following extent.
Knowing how many pages are read through the read-ahead
mechanism, and how many of these pages are evicted from the
buffer pool without ever being accessed, can be useful when
fine-tuning the
innodb_read_ahead_threshold
setting. SHOW
ENGINE INNODB STATUS
output displays counter
information from the
Innodb_buffer_pool_read_ahead
and
Innodb_buffer_pool_read_ahead_evicted
global status variables, which report the number of pages
brought into the buffer
pool by read-ahead requests, and the number of such
pages evicted from the
buffer pool without ever being accessed, respectively. The
status variables report global values since the last server
restart.
SHOW ENGINE
INNODB STATUS
also shows the rate at which the
read-ahead pages are read and the rate at which such pages are
evicted without being accessed. The per-second averages are
based on the statistics collected since the last invocation of
SHOW ENGINE INNODB STATUS
and are displayed
in the BUFFER POOL AND MEMORY
section of
the SHOW ENGINE
INNODB STATUS
output.
For more information, see Section 15.8.3.4, “Configuring InnoDB Buffer Pool Prefetching (Read-Ahead)”. For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
Property | Value |
---|---|
Command-Line Format | --innodb-read-io-threads=# |
System Variable | innodb_read_io_threads |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 4 |
Minimum Value | 1 |
Maximum Value | 64 |
The number of I/O threads for read operations in
InnoDB
. Its counterpart for write threads
is innodb_write_io_threads
.
For more information, see
Section 15.8.5, “Configuring the Number of Background InnoDB I/O Threads”. For
general I/O tuning advice, see
Section 8.5.8, “Optimizing InnoDB Disk I/O”.
On Linux systems, running multiple MySQL servers (typically
more than 12) with default settings for
innodb_read_io_threads
,
innodb_write_io_threads
,
and the Linux aio-max-nr
setting can
exceed system limits. Ideally, increase the
aio-max-nr
setting; as a workaround, you
might reduce the settings for one or both of the MySQL
configuration options.
Property | Value |
---|---|
Command-Line Format | --innodb-read-only |
System Variable | innodb_read_only |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Starts InnoDB
in read-only mode. For
distributing database applications or data sets on read-only
media. Can also be used in data warehouses to share the same
data directory between multiple instances. For more
information, see Section 15.8.2, “Configuring InnoDB for Read-Only Operation”.
Previously, enabling the
innodb_read_only
system
variable prevented creating and dropping tables only for the
InnoDB
storage engine. As of MySQL
8.0, enabling
innodb_read_only
prevents
these operations for all storage engines. Table creation and
drop operations for any storage engine modify data dictionary
tables in the mysql
system database, but
those tables use the InnoDB
storage engine
and cannot be modified when
innodb_read_only
is enabled.
The same principle applies to other table operations that
require modifying data dictionary tables. Examples:
If the innodb_read_only
system variable is enabled, ANALYZE
TABLE
may fail because it cannot update
statistics tables in the data dictionary, which use
InnoDB
. For
ANALYZE TABLE
operations
that update the key distribution, failure may occur even
if the operation updates the table itself (for example, if
it is a MyISAM
table). To obtain the
updated distribution statistics, set
information_schema_stats_expiry=0
.
ALTER TABLE
fails because it updates the storage engine designation,
which is stored in the data dictionary.
tbl_name
ENGINE=engine_name
In addition, other tables in the mysql
system database use the InnoDB
storage
engine in MySQL 8.0. Making those tables read
only results in restrictions on operations that modify them.
Examples:
Account-management statements such as
CREATE USER
and
GRANT
fail because the
grant tables use InnoDB
.
The INSTALL PLUGIN
and
UNINSTALL PLUGIN
plugin-management statements fail because the
plugin
table uses
InnoDB
.
The
CREATE
FUNCTION
and
DROP
FUNCTION
UDF-management statements fail because
the func
table uses
InnoDB
.
Property | Value |
---|---|
Command-Line Format | --innodb-redo-log-encrypt |
Introduced | 8.0.1 |
System Variable | innodb_redo_log_encrypt |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Controls encryption of redo log data for tables encrypted
using the InnoDB
tablespace
encryption feature. Encryption of redo log data is
disabled by default. For more information, see
Redo Log Data Encryption.
Property | Value |
---|---|
Command-Line Format | --innodb-replication-delay=# |
System Variable | innodb_replication_delay |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 4294967295 |
The replication thread delay in milliseconds on a slave server
if innodb_thread_concurrency
is reached.
Property | Value |
---|---|
Command-Line Format | --innodb-rollback-on-timeout |
System Variable | innodb_rollback_on_timeout |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
InnoDB
rolls
back only the last statement on a transaction timeout
by default. If
--innodb-rollback-on-timeout
is
specified, a transaction timeout causes
InnoDB
to abort and roll back the entire
transaction.
If the start-transaction statement was
START
TRANSACTION
or
BEGIN
statement, rollback does not cancel that statement. Further
SQL statements become part of the transaction until the
occurrence of COMMIT
,
ROLLBACK
,
or some SQL statement that causes an implicit commit.
For more information, see Section 15.20.4, “InnoDB Error Handling”.
Property | Value |
---|---|
Command-Line Format | --innodb-rollback-segments=# |
System Variable | innodb_rollback_segments |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 128 |
Minimum Value | 1 |
Maximum Value | 128 |
innodb_rollback_segments
defines the number of
rollback segments
allocated to each undo tablespace and the global temporary
tablespace for transactions that generate undo records. The
number of transactions that each rollback segment supports
depends on the InnoDB
page size and the
number of undo logs assigned to each transaction. For more
information, see Section 15.6.6, “Undo Logs”.
For related information, see Section 15.3, “InnoDB Multi-Versioning”. For information about undo tablespaces, see Section 15.6.3.4, “Undo Tablespaces”.
Property | Value |
---|---|
Command-Line Format | --innodb-scan-directories=dir_name |
Introduced | 8.0.2 |
System Variable | innodb_scan_directories |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Directory name |
Default Value | NULL |
If, during recovery, InnoDB
encounters redo
logs written since the last checkpoint, the redo logs must be
applied to affected tablespaces. The process that identifies
affected tablespaces is referred to as tablespace discovery.
Tablespace discovery depends on tablespace map files that map
tablespace IDs in the redo logs to tablespace files. If
tablespace map files are lost or corrupted, the
innodb_scan_directories
startup option can
be used to specify tablespace file directories. This option
causes InnoDB
to read the first page of
each tablespace file in the specified directories and recreate
tablespace map files so that the recovery process can apply
redo logs to affected tablespaces.
innodb_scan_directories
may be specified as
an option in a startup command or in a MySQL option file.
Quotes are used around the argument value because otherwise a
semicolon (;) is interpreted as a special character by some
command interpreters. (Unix shells treat it as a command
terminator, for example.)
Startup command:
mysqld --innodb-scan-directories="directory_path_1
;directory_path_2
"
MySQL option file:
[mysqld] innodb_scan_directories="directory_path_1
;directory_path_2
"
For more information, see Lost or Corrupted Tablespace Map Files.
innodb_saved_page_number_debug
Property | Value |
---|---|
Command-Line Format | --innodb-saved-page-number-debug=# |
System Variable | innodb_saved_page_number_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Maximum Value | 2**23-1 |
Saves a page number. Setting the
innodb_fil_make_page_dirty_debug
option dirties the page defined by
innodb_saved_page_number_debug
. The
innodb_saved_page_number_debug
option is
only available if debugging support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-sort-buffer-size=# |
System Variable | innodb_sort_buffer_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1048576 |
Minimum Value | 65536 |
Maximum Value | 67108864 |
Specifies the size of sort buffers used to sort data during
creation of an InnoDB
index. The specified
size defines the amount of data that is read into memory for
internal sorting and then written out to disk. This process is
referred to as a “run”. During the merge phase,
pairs of buffers of the specified size are read and merged.
The larger the setting, the fewer runs and merges there are.
This sort area is only used for merge sorts during index creation, not during later index maintenance operations. Buffers are deallocated when index creation completes.
The value of this option also controls the amount by which the temporary log file is extended to record concurrent DML during online DDL operations.
Before this setting was made configurable, the size was hardcoded to 1048576 bytes (1MB), which remains the default.
During an ALTER TABLE
or
CREATE TABLE
statement that
creates an index, 3 buffers are allocated, each with a size
defined by this option. Additionally, auxiliary pointers are
allocated to rows in the sort buffer so that the sort can run
on pointers (as opposed to moving rows during the sort
operation).
For a typical sort operation, a formula such as this one can be used to estimate memory consumption:
(6 /*FTS_NUM_AUX_INDEX*/ * (3*@@GLOBAL.innodb_sort_buffer_size) + 2 * number_of_partitions * number_of_secondary_indexes_created * (@@GLOBAL.innodb_sort_buffer_size/dict_index_get_min_size(index)*/) * 8 /*64-bit sizeof *buf->tuples*/")
@@GLOBAL.innodb_sort_buffer_size/dict_index_get_min_size(index)
indicates the maximum tuples held. 2 *
(@@GLOBAL.innodb_sort_buffer_size/*dict_index_get_min_size(index)*/)
* 8 /*64-bit size of *buf->tuples*/
indicates
auxiliary pointers allocated.
For 32-bit, multiply by 4 instead of 8.
For parallel sorts on a full-text index, multiply by the
innodb_ft_sort_pll_degree
setting:
(6 /*FTS_NUM_AUX_INDEX*/ * @@GLOBAL.innodb_ft_sort_pll_degree)
Property | Value |
---|---|
Command-Line Format | --innodb-spin-wait-delay=# |
System Variable | innodb_spin_wait_delay |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 6 |
Minimum Value | 0 |
Maximum Value (64-bit platforms, <= 8.0.13) | 2**64-1 |
Maximum Value (32-bit platforms, <= 8.0.13) | 2**32-1 |
Maximum Value (>= 8.0.14) | 1000 |
The maximum delay between polls for a spin lock. The low-level implementation of this mechanism varies depending on the combination of hardware and operating system, so the delay does not correspond to a fixed time interval.
Can be used in combination with the
innodb_spin_wait_pause_multiplier
variable for greater control over the duration of spin-lock
polling delays.
For more information, see Section 15.8.8, “Configuring Spin Lock Polling”.
innodb_spin_wait_pause_multiplier
Property | Value |
---|---|
Command-Line Format | --innodb-spin-wait-pause-multiplier=# |
Introduced | 8.0.16 |
System Variable | innodb_spin_wait_pause_multiplier |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 50 |
Minimum Value | 1 |
Maximum Value | 100 |
Defines a multiplier value used to determine the number of PAUSE instructions in spin-wait loops that occur when a thread waits to acquire a mutex or rw-lock.
For more information, see Section 15.8.8, “Configuring Spin Lock Polling”.
Property | Value |
---|---|
Command-Line Format | --innodb-stats-auto-recalc |
System Variable | innodb_stats_auto_recalc |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Causes InnoDB
to automatically recalculate
persistent
statistics after the data in a table is changed
substantially. The threshold value is 10% of the rows in the
table. This setting applies to tables created when the
innodb_stats_persistent
option is enabled. Automatic statistics recalculation may also
be configured by specifying
STATS_PERSISTENT=1
in a
CREATE TABLE
or
ALTER TABLE
statement. The
amount of data sampled to produce the statistics is controlled
by the
innodb_stats_persistent_sample_pages
configuration option.
For more information, see Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”.
innodb_stats_include_delete_marked
Property | Value |
---|---|
Command-Line Format | --innodb-stats-include-delete-marked |
Introduced | 8.0.1 |
System Variable | innodb_stats_include_delete_marked |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
By default, InnoDB
reads uncommitted data
when calculating statistics. In the case of an uncommitted
transaction that deletes rows from a table,
InnoDB
excludes records that are
delete-marked when calculating row estimates and index
statistics, which can lead to non-optimal execution plans for
other transactions that are operating on the table
concurrently using a transaction isolation level other than
READ UNCOMMITTED
. To avoid
this scenario,
innodb_stats_include_delete_marked
can be enabled to ensure that InnoDB
includes delete-marked records when calculating persistent
optimizer statistics.
When
innodb_stats_include_delete_marked
is enabled, ANALYZE TABLE
considers delete-marked records when recalculating statistics.
innodb_stats_include_delete_marked
is a global setting that affects all InnoDB
tables. It is only applicable to persistent optimizer
statistics.
For related information, see Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”.
Property | Value |
---|---|
Command-Line Format | --innodb-stats-method=value |
System Variable | innodb_stats_method |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Enumeration |
Default Value | nulls_equal |
Valid Values |
|
How the server treats NULL
values when
collecting statistics
about the distribution of index values for
InnoDB
tables. Permitted values are
nulls_equal
,
nulls_unequal
, and
nulls_ignored
. For
nulls_equal
, all NULL
index values are considered equal and form a single value
group with a size equal to the number of
NULL
values. For
nulls_unequal
, NULL
values are considered unequal, and each
NULL
forms a distinct value group of size
1. For nulls_ignored
,
NULL
values are ignored.
The method used to generate table statistics influences how the optimizer chooses indexes for query execution, as described in Section 8.3.8, “InnoDB and MyISAM Index Statistics Collection”.
Property | Value |
---|---|
Command-Line Format | --innodb-stats-on-metadata |
System Variable | innodb_stats_on_metadata |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
This option only applies when optimizer
statistics are
configured to be non-persistent. Optimizer statistics are not
persisted to disk when
innodb_stats_persistent
is
disabled or when individual tables are created or altered with
STATS_PERSISTENT=0
. For more information,
see Section 15.8.10.2, “Configuring Non-Persistent Optimizer Statistics Parameters”.
When innodb_stats_on_metadata
is enabled,
InnoDB
updates non-persistent
statistics when
metadata statements such as SHOW TABLE
STATUS
or when accessing the
INFORMATION_SCHEMA.TABLES
or
INFORMATION_SCHEMA.STATISTICS
tables. (These updates are similar to what happens for
ANALYZE TABLE
.) When disabled,
InnoDB
does not update statistics during
these operations. Leaving the setting disabled can improve
access speed for schemas that have a large number of tables or
indexes. It can also improve the stability of
execution
plans for queries that involve
InnoDB
tables.
To change the setting, issue the statement SET GLOBAL
innodb_stats_on_metadata=
,
where mode
is
either mode
ON
or OFF
(or
1
or 0
). Changing the
setting requires privileges sufficient to set global system
variables (see Section 5.1.9.1, “System Variable Privileges”)
and immediately affects the operation of all connections.
Property | Value |
---|---|
Command-Line Format | --innodb-stats-persistent |
System Variable | innodb_stats_persistent |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Specifies whether InnoDB
index statistics
are persisted to disk. Otherwise, statistics may be
recalculated frequently which can lead to variations in
query execution
plans. This setting is stored with each table when the
table is created. You can set
innodb_stats_persistent
at the global level
before creating a table, or use the
STATS_PERSISTENT
clause of the
CREATE TABLE
and
ALTER TABLE
statements to
override the system-wide setting and configure persistent
statistics for individual tables.
For more information, see Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”.
innodb_stats_persistent_sample_pages
Property | Value |
---|---|
Command-Line Format | --innodb-stats-persistent-sample-pages=# |
System Variable | innodb_stats_persistent_sample_pages |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 20 |
The number of index pages to
sample when estimating
cardinality and other
statistics for an
indexed column, such as those calculated by
ANALYZE TABLE
. Increasing the
value improves the accuracy of index statistics, which can
improve the query
execution plan, at the expense of increased I/O during
the execution of ANALYZE TABLE
for an InnoDB
table. For more information,
see Section 15.8.10.1, “Configuring Persistent Optimizer Statistics Parameters”.
Setting a high value for
innodb_stats_persistent_sample_pages
could result in lengthy ANALYZE
TABLE
execution time. To estimate the number of
database pages accessed by ANALYZE
TABLE
, see
Section 15.8.10.3, “Estimating ANALYZE TABLE Complexity for InnoDB Tables”.
innodb_stats_persistent_sample_pages
only
applies when
innodb_stats_persistent
is
enabled for a table; when
innodb_stats_persistent
is
disabled,
innodb_stats_transient_sample_pages
applies instead.
innodb_stats_transient_sample_pages
Property | Value |
---|---|
Command-Line Format | --innodb-stats-transient-sample-pages=# |
System Variable | innodb_stats_transient_sample_pages |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 8 |
The number of index pages to
sample when estimating
cardinality and other
statistics for an
indexed column, such as those calculated by
ANALYZE TABLE
. The default
value is 8. Increasing the value improves the accuracy of
index statistics, which can improve the
query execution
plan, at the expense of increased I/O when opening an
InnoDB
table or recalculating statistics.
For more information, see
Section 15.8.10.2, “Configuring Non-Persistent Optimizer Statistics Parameters”.
Setting a high value for
innodb_stats_transient_sample_pages
could
result in lengthy ANALYZE
TABLE
execution time. To estimate the number of
database pages accessed by ANALYZE
TABLE
, see
Section 15.8.10.3, “Estimating ANALYZE TABLE Complexity for InnoDB Tables”.
innodb_stats_transient_sample_pages
only
applies when
innodb_stats_persistent
is
disabled for a table; when
innodb_stats_persistent
is
enabled,
innodb_stats_persistent_sample_pages
applies instead. Takes the place of
innodb_stats_sample_pages
. For more
information, see
Section 15.8.10.2, “Configuring Non-Persistent Optimizer Statistics Parameters”.
Property | Value |
---|---|
Command-Line Format | --innodb-status-output |
System Variable | innodb_status_output |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enables or disables periodic output for the standard
InnoDB
Monitor. Also used in combination
with
innodb_status_output_locks
to
enable or disable periodic output for the
InnoDB
Lock Monitor. For more information,
see Section 15.16.2, “Enabling InnoDB Monitors”.
Property | Value |
---|---|
Command-Line Format | --innodb-status-output-locks |
System Variable | innodb_status_output_locks |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enables or disables the InnoDB
Lock
Monitor. When enabled, the InnoDB
Lock
Monitor prints additional information about locks in
SHOW ENGINE INNODB STATUS
output and in
periodic output printed to the MySQL error log. Periodic
output for the InnoDB
Lock Monitor is
printed as part of the standard InnoDB
Monitor output. The standard InnoDB
Monitor
must therefore be enabled for the InnoDB
Lock Monitor to print data to the MySQL error log
periodically. For more information, see
Section 15.16.2, “Enabling InnoDB Monitors”.
Property | Value |
---|---|
Command-Line Format | --innodb-strict-mode |
System Variable | innodb_strict_mode |
Scope | Global, Session |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
When innodb_strict_mode
is enabled,
InnoDB
returns errors rather than warnings
for certain conditions.
Strict mode helps
guard against ignored typos and syntax errors in SQL, or other
unintended consequences of various combinations of operational
modes and SQL statements. When
innodb_strict_mode
is enabled,
InnoDB
raises error conditions in certain
cases, rather than issuing a warning and processing the
specified statement (perhaps with unintended behavior). This
is analogous to
sql_mode
in
MySQL, which controls what SQL syntax MySQL accepts, and
determines whether it silently ignores errors, or validates
input syntax and data values.
The innodb_strict_mode
setting affects the
handling of syntax errors for CREATE
TABLE
, ALTER TABLE
,
CREATE INDEX
, and
OPTIMIZE TABLE
statements.
innodb_strict_mode
also enables a record
size check, so that an INSERT
or
UPDATE
never fails due to the record being
too large for the selected page size.
Oracle recommends enabling
innodb_strict_mode
when using
ROW_FORMAT
and
KEY_BLOCK_SIZE
clauses in
CREATE TABLE
,
ALTER TABLE
, and
CREATE INDEX
statements. When
innodb_strict_mode
is disabled,
InnoDB
ignores conflicting clauses and
creates the table or index with only a warning in the message
log. The resulting table might have different characteristics
than intended, such as lack of compression support when
attempting to create a compressed table. When
innodb_strict_mode
is enabled, such
problems generate an immediate error and the table or index is
not created.
You can enable or disable
innodb_strict_mode
on the command line when
starting mysqld
, or in a MySQL
configuration
file. You can also enable or disable
innodb_strict_mode
at runtime with the
statement SET [GLOBAL|SESSION]
innodb_strict_mode=
,
where mode
is
either mode
ON
or OFF
.
Changing the GLOBAL
setting requires
privileges sufficient to set global system variables (see
Section 5.1.9.1, “System Variable Privileges”) and affects the
operation of all clients that subsequently connect. Any client
can change the SESSION
setting for
innodb_strict_mode
, and the setting affects
only that client.
innodb_strict_mode
is not
applicable to general
tablespaces. Tablespace management rules for general
tablespaces are strictly enforced independently of
innodb_strict_mode
. For more
information, see Section 13.1.21, “CREATE TABLESPACE Syntax”.
Property | Value |
---|---|
Command-Line Format | --innodb-sync-array-size=# |
System Variable | innodb_sync_array_size |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 1 |
Minimum Value | 1 |
Maximum Value | 1024 |
Defines the size of the mutex/lock wait array. Increasing the value splits the internal data structure used to coordinate threads, for higher concurrency in workloads with large numbers of waiting threads. This setting must be configured when the MySQL instance is starting up, and cannot be changed afterward. Increasing the value is recommended for workloads that frequently produce a large number of waiting threads, typically greater than 768.
Property | Value |
---|---|
Command-Line Format | --innodb-sync-spin-loops=# |
System Variable | innodb_sync_spin_loops |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 30 |
Minimum Value | 0 |
Maximum Value | 4294967295 |
The number of times a thread waits for an
InnoDB
mutex to be freed before the thread
is suspended.
Property | Value |
---|---|
Command-Line Format | --innodb-sync-debug |
System Variable | innodb_sync_debug |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Enables sync debug checking for the InnoDB
storage engine. This option is only available if debugging
support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-table-locks |
System Variable | innodb_table_locks |
Scope | Global, Session |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
If autocommit = 0
,
InnoDB
honors LOCK
TABLES
; MySQL does not return from LOCK
TABLES ... WRITE
until all other threads have
released all their locks to the table. The default value of
innodb_table_locks
is 1,
which means that LOCK TABLES
causes InnoDB to lock a table internally if
autocommit = 0
.
In MySQL 8.0,
innodb_table_locks = 0
has no
effect for tables locked explicitly with
LOCK TABLES ...
WRITE
. It does have an effect for tables locked for
read or write by
LOCK TABLES ...
WRITE
implicitly (for example, through triggers) or
by LOCK TABLES
... READ
.
For related information, see Section 15.7, “InnoDB Locking and Transaction Model”.
Property | Value |
---|---|
Command-Line Format | --innodb-temp-data-file-path=file_name |
System Variable | innodb_temp_data_file_path |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | String |
Default Value | ibtmp1:12M:autoextend |
Defines the relative path, name, size, and attributes of global temporary tablespace data files. The global temporary tablespace stores rollback segments for changes made to user-created temporary tables.
If no value is specified for
innodb_temp_data_file_path
,
the default behavior is to create a single auto-extending data
file named ibtmp1
in the
innodb_data_home_dir
directory. The initial file size is slightly larger than 12MB.
The syntax for a global temporary tablespace data file
specification includes the file name, file size, and
autoextend
and max
attributes:
file_name
:file_size
[:autoextend[:max:max_file_size
]]
The global temporary tablespace data file cannot have the same
name as another InnoDB
data file. Any
inability or error creating the global temporary tablespace
data file is treated as fatal and server startup is refused.
File sizes are specified in KB, MB, or GB by appending
K
, M
or
G
to the size value. The sum of file sizes
must be slightly larger than 12MB.
The size limit of individual files is determined by the operating system. File size can be more than 4GB on operating systems that support large files. Use of raw disk partitions for global temporary tablespace data files is not supported.
The autoextend
and max
attributes can be used only for the data file specified last
in the
innodb_temp_data_file_path
setting. For example:
[mysqld] innodb_temp_data_file_path=ibtmp1:50M;ibtmp2:12M:autoextend:max:500MB
The autoextend
option causes the data file
to automatically increase in size when it runs out of free
space. The autoextend
increment is 64MB by
default. To modify the increment, change the
innodb_autoextend_increment
variable setting.
The directory path for global temporary tablespace data files
is formed by concatenating the paths defined by
innodb_data_home_dir
and
innodb_temp_data_file_path
.
Before running InnoDB
in read-only mode,
set
innodb_temp_data_file_path
to
a location outside of the data directory. The path must be
relative to the data directory. For example:
--innodb-temp-data-file-path=../../../tmp/ibtmp1:12M:autoextend
For more information, see Global Temporary Tablespace.
Property | Value |
---|---|
Command-Line Format | --innodb-temp-tablespaces-dir=dir_name |
Introduced | 8.0.13 |
System Variable | innodb_temp_tablespaces_dir |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Directory name |
Default Value | #innodb_temp |
Defines the location where InnoDB
creates a
pool of session temporary tablespaces at startup. The default
location is the #innodb_temp
directory in
the data directory. A fully qualified path or path relative to
the data directory is permitted.
As of MySQL 8.0.16, session temporary tablespaces always store
user-created temporary tables and internal temporary tables
created by the optimizer using InnoDB
.
(Previously, the on-disk storage engine for internal temporary
tables was determined by the
internal_tmp_disk_storage_engine
system variable, which is no longer supported. See
Storage Engine for On-Disk Internal Temporary Tables.)
For more information, see Session Temporary Tablespaces.
Property | Value |
---|---|
Command-Line Format | --innodb-thread-concurrency=# |
System Variable | innodb_thread_concurrency |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 1000 |
InnoDB
tries to keep the number of
operating system threads concurrently inside
InnoDB
less than or equal to the limit
given by this variable (InnoDB
uses
operating system threads to process user transactions). Once
the number of threads reaches this limit, additional threads
are placed into a wait state within a “First In, First
Out” (FIFO) queue for execution. Threads waiting for
locks are not counted in the number of concurrently executing
threads.
The range of this variable is 0 to 1000. A value of 0 (the
default) is interpreted as infinite concurrency (no
concurrency checking). Disabling thread concurrency checking
enables InnoDB
to create as many threads as
it needs. A value of 0 also disables the queries
inside InnoDB
and queries in queue
counters
in the ROW OPERATIONS
section of SHOW ENGINE INNODB STATUS
output.
Consider setting this variable if your MySQL instance shares
CPU resources with other applications, or if your workload or
number of concurrent users is growing. The correct setting
depends on workload, computing environment, and the version of
MySQL that you are running. You will need to test a range of
values to determine the setting that provides the best
performance. innodb_thread_concurrency
is a
dynamic variable, which allows you to experiment with
different settings on a live test system. If a particular
setting performs poorly, you can quickly set
innodb_thread_concurrency
back to 0.
Use the following guidelines to help find and maintain an appropriate setting:
If the number of concurrent user threads for a workload is
less than 64, set
innodb_thread_concurrency=0
.
If your workload is consistently heavy or occasionally
spikes, start by setting
innodb_thread_concurrency=128
and then
lowering the value to 96, 80, 64, and so on, until you
find the number of threads that provides the best
performance. For example, suppose your system typically
has 40 to 50 users, but periodically the number increases
to 60, 70, or even 200. You find that performance is
stable at 80 concurrent users but starts to show a
regression above this number. In this case, you would set
innodb_thread_concurrency=80
to avoid
impacting performance.
If you do not want InnoDB
to use more
than a certain number of virtual CPUs for user threads (20
virtual CPUs, for example), set
innodb_thread_concurrency
to this
number (or possibly lower, depending on performance
results). If your goal is to isolate MySQL from other
applications, you may consider binding the
mysqld
process exclusively to the
virtual CPUs. Be aware, however, that exclusive binding
could result in non-optimal hardware usage if the
mysqld
process is not consistently
busy. In this case, you might bind the
mysqld
process to the virtual CPUs but
also allow other applications to use some or all of the
virtual CPUs.
From an operating system perspective, using a resource
management solution to manage how CPU time is shared
among applications may be preferable to binding the
mysqld
process. For example, you
could assign 90% of virtual CPU time to a given
application while other critical processes are
not running, and scale that value back to 40%
when other critical processes are
running.
innodb_thread_concurrency
values that
are too high can cause performance regression due to
increased contention on system internals and resources.
In some cases, the optimal
innodb_thread_concurrency
setting can
be smaller than the number of virtual CPUs.
Monitor and analyze your system regularly. Changes to
workload, number of users, or computing environment may
require that you adjust the
innodb_thread_concurrency
setting.
For related information, see Section 15.8.4, “Configuring Thread Concurrency for InnoDB”.
Property | Value |
---|---|
Command-Line Format | --innodb-thread-sleep-delay=# |
System Variable | innodb_thread_sleep_delay |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 10000 |
Minimum Value | 0 |
Maximum Value | 1000000 |
How long InnoDB
threads sleep before
joining the InnoDB
queue, in microseconds.
The default value is 10000. A value of 0 disables sleep. You
can set the configuration option
innodb_adaptive_max_sleep_delay
to the highest value you would allow for
innodb_thread_sleep_delay
, and
InnoDB
automatically adjusts
innodb_thread_sleep_delay
up or down
depending on current thread-scheduling activity. This dynamic
adjustment helps the thread scheduling mechanism to work
smoothly during times when the system is lightly loaded or
when it is operating near full capacity.
For more information, see Section 15.8.4, “Configuring Thread Concurrency for InnoDB”.
Property | Value |
---|---|
Command-Line Format | --innodb-tmpdir=dir_name |
System Variable | innodb_tmpdir |
Scope | Global, Session |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Directory name |
Default Value | NULL |
Used to define an alternate directory for temporary sort files
created during online ALTER
TABLE
operations that rebuild the table.
Online ALTER TABLE
operations
that rebuild the table also create an
intermediate table file in the same
directory as the original table. The
innodb_tmpdir
option is not applicable to
intermediate table files.
A valid value is any directory path other than the MySQL data
directory path. If the value is NULL (the default), temporary
files are created MySQL temporary directory
($TMPDIR
on Unix, %TEMP%
on Windows, or the directory specified by the
--tmpdir
configuration
option). If a directory is specified, existence of the
directory and permissions are only checked when
innodb_tmpdir
is configured using a
SET
statement. If a symlink is provided in a directory string, the
symlink is resolved and stored as an absolute path. The path
should not exceed 512 bytes. An online
ALTER TABLE
operation reports
an error if innodb_tmpdir
is set to an
invalid directory. innodb_tmpdir
overrides
the MySQL tmpdir
setting but
only for online ALTER TABLE
operations.
The FILE
privilege is required to configure
innodb_tmpdir
.
The innodb_tmpdir
option was introduced to
help avoid overflowing a temporary file directory located on a
tmpfs
file system. Such overflows could
occur as a result of large temporary sort files created during
online ALTER TABLE
operations
that rebuild the table.
In replication environments, only consider replicating the
innodb_tmpdir
setting if all servers have
the same operating system environment. Otherwise, replicating
the innodb_tmpdir
setting could result in a
replication failure when running online
ALTER TABLE
operations that
rebuild the table. If server operating environments differ, it
is recommended that you configure
innodb_tmpdir
on each server individually.
For more information, see
Section 15.12.3, “Online DDL Space Requirements”. For
information about online ALTER
TABLE
operations, see
Section 15.12, “InnoDB and Online DDL”.
innodb_trx_purge_view_update_only_debug
Property | Value |
---|---|
Command-Line Format | --innodb-trx-purge-view-update-only-debug |
System Variable | innodb_trx_purge_view_update_only_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Pauses purging of delete-marked records while allowing the
purge view to be updated. This option artificially creates a
situation in which the purge view is updated but purges have
not yet been performed. This option is only available if
debugging support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-trx-rseg-n-slots-debug=# |
System Variable | innodb_trx_rseg_n_slots_debug |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 0 |
Maximum Value | 1024 |
Sets a debug flag that limits
TRX_RSEG_N_SLOTS
to a given value for the
trx_rsegf_undo_find_free
function that
looks for free slots for undo log segments. This option is
only available if debugging support is compiled in using the
WITH_DEBUG
CMake option.
Property | Value |
---|---|
Command-Line Format | --innodb-undo-directory=dir_name |
System Variable | innodb_undo_directory |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Directory name |
The path where InnoDB
creates undo
tablespaces. Typically used to place undo tablespaces on a
different storage device.
There is no default value (it is NULL). If the
innodb_undo_directory
variable is undefined, undo tablespaces are created in the
data directory.
The default undo tablespaces
(innodb_undo_001
and
innodb_undo_002
) created when the MySQL
instance is initialized always reside in the directory defined
by the innodb_undo_directory
variable.
Undo tablespaces created using
CREATE UNDO
TABLESPACE
syntax are created in the directory
defined by the
innodb_undo_directory
variable if a different path is not specified.
For more information, see Section 15.6.3.4, “Undo Tablespaces”.
Property | Value |
---|---|
Command-Line Format | --innodb-undo-log-encrypt |
Introduced | 8.0.1 |
System Variable | innodb_undo_log_encrypt |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | OFF |
Controls encryption of undo log data for tables encrypted
using the InnoDB
tablespace
encryption feature. Only applies to undo logs that
reside in separate undo
tablespaces. See
Section 15.6.3.4, “Undo Tablespaces”. Encryption is not
supported for undo log data that resides in the system
tablespace. For more information, see
Undo Log Data Encryption.
Property | Value |
---|---|
Command-Line Format | --innodb-undo-log-truncate |
System Variable | innodb_undo_log_truncate |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value (>= 8.0.2) | ON |
Default Value (<= 8.0.1) | OFF |
When enabled, undo tablespaces that exceed the threshold value
defined by
innodb_max_undo_log_size
are
marked for truncation. Only undo tablespaces can be truncated.
Truncating undo logs that reside in the system tablespace is
not supported. For truncation to occur, there must be at least
two undo tablespaces.
The
innodb_purge_rseg_truncate_frequency
configuration option can be used to expedite truncation of
undo tablepaces.
For more information, see Truncating Undo Tablespaces.
Property | Value |
---|---|
Command-Line Format | --innodb-undo-logs=# |
Deprecated | Yes (removed in 8.0.2) |
System Variable | innodb_undo_logs |
Scope | Global |
Dynamic | Yes |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 128 |
Minimum Value | 1 |
Maximum Value | 128 |
innodb_undo_logs
was
removed in MySQL 8.0.2.
The innodb_undo_logs
option
is an alias for
innodb_rollback_segments
. For
more information, see the description of
innodb_rollback_segments
.
Property | Value |
---|---|
Command-Line Format | --innodb-undo-tablespaces=# |
Deprecated | 8.0.4 |
System Variable | innodb_undo_tablespaces |
Scope | Global |
Dynamic (>= 8.0.2) | Yes |
Dynamic (<= 8.0.1) | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value (>= 8.0.2) | 2 |
Default Value (<= 8.0.1) | 0 |
Minimum Value (>= 8.0.3) | 2 |
Minimum Value (<= 8.0.2) | 0 |
Maximum Value (>= 8.0.2) | 127 |
Maximum Value (<= 8.0.1) | 95 |
Defines the number of
undo tablespaces
used by InnoDB
. The default and minimum
value is 2.
The innodb_undo_tablespaces
variable is deprecated and is no longer configurable as of
MySQL 8.0.14. It will be removed in a future release.
For more information, see Section 15.6.3.4, “Undo Tablespaces”.
Property | Value |
---|---|
Command-Line Format | --innodb-use-native-aio |
System Variable | innodb_use_native_aio |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Boolean |
Default Value | ON |
Specifies whether to use the Linux asynchronous I/O subsystem. This variable applies to Linux systems only, and cannot be changed while the server is running. Normally, you do not need to configure this option, because it is enabled by default.
The asynchronous
I/O capability that InnoDB
has on
Windows systems is available on Linux systems. (Other
Unix-like systems continue to use synchronous I/O calls.) This
feature improves the scalability of heavily I/O-bound systems,
which typically show many pending reads/writes in
SHOW ENGINE INNODB STATUS\G
output.
Running with a large number of InnoDB
I/O
threads, and especially running multiple such instances on the
same server machine, can exceed capacity limits on Linux
systems. In this case, you may receive the following error:
EAGAIN: The specified maxevents exceeds the user's limit of available events.
You can typically address this error by writing a higher limit
to /proc/sys/fs/aio-max-nr
.
However, if a problem with the asynchronous I/O subsystem in
the OS prevents InnoDB
from starting, you
can start the server with
innodb_use_native_aio=0
. This
option may also be disabled automatically during startup if
InnoDB
detects a potential problem such as
a combination of tmpdir
location,
tmpfs
file system, and Linux kernel that
does not support AIO on tmpfs
.
For more information, see Section 15.8.6, “Using Asynchronous I/O on Linux”.
The InnoDB
version number. In MySQL
8.0, separate version numbering for
InnoDB
does not apply and this value is the
same the version
number of
the server.
Property | Value |
---|---|
Command-Line Format | --innodb-write-io-threads=# |
System Variable | innodb_write_io_threads |
Scope | Global |
Dynamic | No |
SET_VAR Hint Applies |
No |
Type | Integer |
Default Value | 4 |
Minimum Value | 1 |
Maximum Value | 64 |
The number of I/O threads for write operations in
InnoDB
. The default value is 4. Its
counterpart for read threads is
innodb_read_io_threads
. For
more information, see
Section 15.8.5, “Configuring the Number of Background InnoDB I/O Threads”. For
general I/O tuning advice, see
Section 8.5.8, “Optimizing InnoDB Disk I/O”.
On Linux systems, running multiple MySQL servers (typically
more than 12) with default settings for
innodb_read_io_threads
,
innodb_write_io_threads
, and the Linux
aio-max-nr
setting can exceed system
limits. Ideally, increase the aio-max-nr
setting; as a workaround, you might reduce the settings for
one or both of the MySQL configuration options.
Also take into consideration the value of
sync_binlog
, which controls
synchronization of the binary log to disk.
For general I/O tuning advice, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
This section provides information and usage examples for
InnoDB
INFORMATION_SCHEMA
tables.
InnoDB
INFORMATION_SCHEMA
tables provide metadata, status information, and statistics about
various aspects of the InnoDB
storage engine. You
can view a list of InnoDB
INFORMATION_SCHEMA
tables by issuing a
SHOW TABLES
statement on the
INFORMATION_SCHEMA
database:
mysql> SHOW TABLES FROM INFORMATION_SCHEMA LIKE 'INNODB%';
For table definitions, see Section 25.39, “INFORMATION_SCHEMA InnoDB Tables”. For
general information regarding the MySQL
INFORMATION_SCHEMA
database, see
Chapter 25, INFORMATION_SCHEMA Tables.
There are two pairs of InnoDB
INFORMATION_SCHEMA
tables about compression
that can provide insight into how well compression is working
overall:
INNODB_CMP
and
INNODB_CMP_RESET
provide information about the number of compression operations
and the amount of time spent performing compression.
INNODB_CMPMEM
and
INNODB_CMP_RESET
provide information about the way memory is allocated for
compression.
The INNODB_CMP
and
INNODB_CMP_RESET
tables provide status information about operations related to
compressed tables, which are described in
Section 15.9, “InnoDB Table and Page Compression”. The
PAGE_SIZE
column reports the compressed
page size.
These two tables have identical contents, but reading from
INNODB_CMP_RESET
resets the statistics on compression and uncompression
operations. For example, if you archive the output of
INNODB_CMP_RESET
every 60 minutes, you see the statistics for each hourly period.
If you monitor the output of
INNODB_CMP
(making sure never to
read
INNODB_CMP_RESET
),
you see the cumulative statistics since InnoDB was started.
For the table definition, see Section 25.39.5, “The INFORMATION_SCHEMA INNODB_CMP and INNODB_CMP_RESET Tables”.
The INNODB_CMPMEM
and
INNODB_CMPMEM_RESET
tables provide status information about compressed pages that
reside in the buffer pool. Please consult
Section 15.9, “InnoDB Table and Page Compression” for further information on
compressed tables and the use of the buffer pool. The
INNODB_CMP
and
INNODB_CMP_RESET
tables should provide more useful statistics on compression.
InnoDB
uses a
buddy allocator
system to manage memory allocated to
pages of various sizes,
from 1KB to 16KB. Each row of the two tables described here
corresponds to a single page size.
The INNODB_CMPMEM
and
INNODB_CMPMEM_RESET
tables have identical contents, but reading from
INNODB_CMPMEM_RESET
resets the statistics on relocation operations. For example, if
every 60 minutes you archived the output of
INNODB_CMPMEM_RESET
,
it would show the hourly statistics. If you never read
INNODB_CMPMEM_RESET
and monitored the output of
INNODB_CMPMEM
instead, it would
show the cumulative statistics since InnoDB
was started.
For the table definition, see Section 25.39.6, “The INFORMATION_SCHEMA INNODB_CMPMEM and INNODB_CMPMEM_RESET Tables”.
Example 15.1 Using the Compression Information Schema Tables
The following is sample output from a database that contains
compressed tables (see Section 15.9, “InnoDB Table and Page Compression”,
INNODB_CMP
,
INNODB_CMP_PER_INDEX
, and
INNODB_CMPMEM
).
The following table shows the contents of
INFORMATION_SCHEMA.INNODB_CMP
under a light workload.
The only compressed page size that the buffer pool contains is
8K. Compressing or uncompressing pages has consumed less than
a second since the time the statistics were reset, because the
columns COMPRESS_TIME
and
UNCOMPRESS_TIME
are zero.
page size | compress ops | compress ops ok | compress time | uncompress ops | uncompress time |
---|---|---|---|---|---|
1024 | 0 | 0 | 0 | 0 | 0 |
2048 | 0 | 0 | 0 | 0 | 0 |
4096 | 0 | 0 | 0 | 0 | 0 |
8192 | 1048 | 921 | 0 | 61 | 0 |
16384 | 0 | 0 | 0 | 0 | 0 |
According to INNODB_CMPMEM
, there
are 6169 compressed 8KB pages in the
buffer pool. The only
other allocated block size is 64 bytes. The smallest
PAGE_SIZE
in
INNODB_CMPMEM
is used for block
descriptors of those compressed pages for which no
uncompressed page exists in the buffer pool. We see that there
are 5910 such pages. Indirectly, we see that 259 (6169-5910)
compressed pages also exist in the buffer pool in uncompressed
form.
The following table shows the contents of
INFORMATION_SCHEMA.INNODB_CMPMEM
under a light workload.
Some memory is unusable due to fragmentation of the memory
allocator for compressed pages:
SUM(PAGE_SIZE*PAGES_FREE)=6784
. This is
because small memory allocation requests are fulfilled by
splitting bigger blocks, starting from the 16K blocks that are
allocated from the main buffer pool, using the buddy
allocation system. The fragmentation is this low because some
allocated blocks have been relocated (copied) to form bigger
adjacent free blocks. This copying of
SUM(PAGE_SIZE*RELOCATION_OPS)
bytes has
consumed less than a second
(SUM(RELOCATION_TIME)=0)
.
This section describes locking information as exposed by the
Performance Schema data_locks
and
data_lock_waits
tables, which
supersede the INFORMATION_SCHEMA
INNODB_LOCKS
and
INNODB_LOCK_WAITS
tables in MySQL
8.0. For similar discussion written in terms of the
older INFORMATION_SCHEMA
tables, see
InnoDB INFORMATION_SCHEMA Transaction and Locking Information
in MySQL 5.7 Reference Manual.
One INFORMATION_SCHEMA
table and two
Performance Schema tables enable you to monitor
InnoDB
transactions and diagnose potential
locking problems:
INNODB_TRX
: This
INFORMATION_SCHEMA
table provides
information about every transaction currently executing inside
InnoDB
, including the transaction state
(for example, whether it is running or waiting for a lock),
when the transaction started, and the particular SQL statement
the transaction is executing.
data_locks
: This Performance
Schema table contains a row for each hold lock and each lock
request that is blocked waiting for a held lock to be
released:
There is one row for each held lock, whatever the state of
the transaction that holds the lock
(INNODB_TRX.TRX_STATE
is
RUNNING
, LOCK WAIT
,
ROLLING BACK
or
COMMITTING
).
Each transaction in InnoDB that is waiting for another
transaction to release a lock
(INNODB_TRX.TRX_STATE
is LOCK
WAIT
) is blocked by exactly one blocking lock
request. That blocking lock request is for a row or table
lock held by another transaction in an incompatible mode.
A lock request always has a mode that is incompatible with
the mode of the held lock that blocks the request (read
vs. write, shared vs. exclusive).
The blocked transaction cannot proceed until the other
transaction commits or rolls back, thereby releasing the
requested lock. For every blocked transaction,
data_locks
contains one row
that describes each lock the transaction has requested,
and for which it is waiting.
data_lock_waits
: This Performance
Schema table indicates which transactions are waiting for a
given lock, or for which lock a given transaction is waiting.
This table contains one or more rows for each blocked
transaction, indicating the lock it has requested and any
locks that are blocking that request. The
REQUESTING_ENGINE_LOCK_ID
value refers to
the lock requested by a transaction, and the
BLOCKING_ENGINE_LOCK_ID
value refers to the
lock (held by another transaction) that prevents the first
transaction from proceeding. For any given blocked
transaction, all rows in
data_lock_waits
have the same
value for REQUESTING_ENGINE_LOCK_ID
and
different values for
BLOCKING_ENGINE_LOCK_ID
.
For more information about the preceding tables, see Section 25.39.29, “The INFORMATION_SCHEMA INNODB_TRX Table”, Section 26.12.12.1, “The data_locks Table”, and Section 26.12.12.2, “The data_lock_waits Table”.
This section describes locking information as exposed by the
Performance Schema data_locks
and
data_lock_waits
tables, which
supersede the INFORMATION_SCHEMA
INNODB_LOCKS
and
INNODB_LOCK_WAITS
tables in MySQL
8.0. For similar discussion written in terms of
the older INFORMATION_SCHEMA
tables, see
Using InnoDB Transaction and Locking Information
in MySQL 5.7 Reference Manual.
It is sometimes helpful to identify which transaction blocks
another. The tables that contain information about
InnoDB
transactions and data locks enable
you to determine which transaction is waiting for another, and
which resource is being requested. (For descriptions of these
tables, see
Section 15.14.2, “InnoDB INFORMATION_SCHEMA Transaction and Locking Information”.)
Suppose that three sessions are running concurrently. Each session corresponds to a MySQL thread, and executes one transaction after another. Consider the state of the system when these sessions have issued the following statements, but none has yet committed its transaction:
Session A:
BEGIN; SELECT a FROM t FOR UPDATE; SELECT SLEEP(100);
Session B:
SELECT b FROM t FOR UPDATE;
Session C:
SELECT c FROM t FOR UPDATE;
In this scenario, use the following query to see which transactions are waiting and which transactions are blocking them:
SELECT r.trx_id waiting_trx_id, r.trx_mysql_thread_id waiting_thread, r.trx_query waiting_query, b.trx_id blocking_trx_id, b.trx_mysql_thread_id blocking_thread, b.trx_query blocking_query FROM performance_schema.data_lock_waits w INNER JOIN information_schema.innodb_trx b ON b.trx_id = w.blocking_engine_transaction_id INNER JOIN information_schema.innodb_trx r ON r.trx_id = w.requesting_engine_transaction_id;
Or, more simply, use the sys
schema
innodb_lock_waits
view:
SELECT waiting_trx_id, waiting_pid, waiting_query, blocking_trx_id, blocking_pid, blocking_query FROM sys.innodb_lock_waits;
If a NULL value is reported for the blocking query, see Identifying a Blocking Query After the Issuing Session Becomes Idle.
waiting trx id | waiting thread | waiting query | blocking trx id | blocking thread | blocking query |
---|---|---|---|---|---|
A4 |
6 |
SELECT b FROM t FOR UPDATE |
A3 |
5 |
SELECT SLEEP(100) |
A5 |
7 |
SELECT c FROM t FOR UPDATE |
A3 |
5 |
SELECT SLEEP(100) |
A5 |
7 |
SELECT c FROM t FOR UPDATE |
A4 |
6 |
SELECT b FROM t FOR UPDATE |
In the preceding table, you can identify sessions by the “waiting query” or “blocking query” columns. As you can see:
Session B (trx id A4
, thread
6
) and Session C (trx id
A5
, thread 7
) are
both waiting for Session A (trx id A3
,
thread 5
).
Session C is waiting for Session B as well as Session A.
You can see the underlying data in the
INFORMATION_SCHEMA
INNODB_TRX
table and Performance
Schema data_locks
and
data_lock_waits
tables.
The following table shows some sample contents of the
INNODB_TRX
table.
trx id | trx state | trx started | trx requested lock id | trx wait started | trx weight | trx mysql thread id | trx query |
---|---|---|---|---|---|---|---|
A3 |
RUNNING |
2008-01-15 16:44:54 |
NULL |
NULL |
2 |
5 |
SELECT SLEEP(100) |
A4 |
LOCK WAIT |
2008-01-15 16:45:09 |
A4:1:3:2 |
2008-01-15 16:45:09 |
2 |
6 |
SELECT b FROM t FOR UPDATE |
A5 |
LOCK WAIT |
2008-01-15 16:45:14 |
A5:1:3:2 |
2008-01-15 16:45:14 |
2 |
7 |
SELECT c FROM t FOR UPDATE |
The following table shows some sample contents of the
data_locks
table.
lock id | lock trx id | lock mode | lock type | lock schema | lock table | lock index | lock data |
---|---|---|---|---|---|---|---|
A3:1:3:2 |
A3 |
X |
RECORD |
test |
t |
PRIMARY |
0x0200 |
A4:1:3:2 |
A4 |
X |
RECORD |
test |
t |
PRIMARY |
0x0200 |
A5:1:3:2 |
A5 |
X |
RECORD |
test |
t |
PRIMARY |
0x0200 |
The following table shows some sample contents of the
data_lock_waits
table.
When identifying blocking transactions, a NULL value is reported for the blocking query if the session that issued the query has become idle. In this case, use the following steps to determine the blocking query:
Identify the processlist ID of the blocking transaction.
In the sys.innodb_lock_waits
table, the processlist ID of the blocking transaction is
the blocking_pid
value.
Using the blocking_pid
, query the MySQL
Performance Schema threads
table to determine the THREAD_ID
of the
blocking transaction. For example, if the
blocking_pid
is 6, issue this query:
SELECT THREAD_ID FROM performance_schema.threads WHERE PROCESSLIST_ID = 6;
Using the THREAD_ID
, query the
Performance Schema
events_statements_current
table to determine the last query executed by the thread.
For example, if the THREAD_ID
is 28,
issue this query:
SELECT THREAD_ID, SQL_TEXT FROM performance_schema.events_statements_current WHERE THREAD_ID = 28\G
If the last query executed by the thread is not enough
information to determine why a lock is held, you can query
the Performance Schema
events_statements_history
table to view the last 10 statements executed by the
thread.
SELECT THREAD_ID, SQL_TEXT FROM performance_schema.events_statements_history WHERE THREAD_ID = 28 ORDER BY EVENT_ID;
Sometimes it is useful to correlate internal
InnoDB
locking information with the
session-level information maintained by MySQL. For example,
you might like to know, for a given InnoDB
transaction ID, the corresponding MySQL session ID and name of
the session that may be holding a lock, and thus blocking
other transactions.
The following output from the
INFORMATION_SCHEMA
INNODB_TRX
table and Performance
Schema data_locks
and
data_lock_waits
tables is taken
from a somewhat loaded system. As can be seen, there are
several transactions running.
The following data_locks
and
data_lock_waits
tables show that:
Transaction 77F
(executing an
INSERT
) is waiting for
transactions 77E
,
77D
, and 77B
to
commit.
Transaction 77E
(executing an
INSERT
) is waiting for
transactions 77D
and
77B
to commit.
Transaction 77D
(executing an
INSERT
) is waiting for
transaction 77B
to commit.
Transaction 77B
(executing an
INSERT
) is waiting for
transaction 77A
to commit.
Transaction 77A
is running, currently
executing SELECT
.
Transaction E56
(executing an
INSERT
) is waiting for
transaction E55
to commit.
Transaction E55
(executing an
INSERT
) is waiting for
transaction 19C
to commit.
Transaction 19C
is running, currently
executing an INSERT
.
There may be inconsistencies between queries shown in the
INFORMATION_SCHEMA
PROCESSLIST
and
INNODB_TRX
tables. For an
explanation, see
Section 15.14.2.3, “Persistence and Consistency of InnoDB Transaction and Locking
Information”.
The following table shows the contents of the
PROCESSLIST
table for a system
running a heavy workload.
ID | USER | HOST | DB | COMMAND | TIME | STATE | INFO |
---|---|---|---|---|---|---|---|
384 |
root |
localhost |
test |
Query |
10 |
update |
INSERT INTO t2 VALUES … |
257 |
root |
localhost |
test |
Query |
3 |
update |
INSERT INTO t2 VALUES … |
130 |
root |
localhost |
test |
Query |
0 |
update |
INSERT INTO t2 VALUES … |
61 |
root |
localhost |
test |
Query |
1 |
update |
INSERT INTO t2 VALUES … |
8 |
root |
localhost |
test |
Query |
1 |
update |
INSERT INTO t2 VALUES … |
4 |
root |
localhost |
test |
Query |
0 |
preparing |
SELECT * FROM PROCESSLIST |
2 |
root |
localhost |
test |
Sleep |
566 |
|
NULL |
The following table shows the contents of the
INNODB_TRX
table for a system
running a heavy workload.
trx id | trx state | trx started | trx requested lock id | trx wait started | trx weight | trx mysql thread id | trx query |
---|---|---|---|---|---|---|---|
77F |
LOCK WAIT |
2008-01-15 13:10:16 |
77F |
2008-01-15 13:10:16 |
1 |
876 |
INSERT INTO t09 (D, B, C) VALUES … |
77E |
LOCK WAIT |
2008-01-15 13:10:16 |
77E |
2008-01-15 13:10:16 |
1 |
875 |
INSERT INTO t09 (D, B, C) VALUES … |
77D |
LOCK WAIT |
2008-01-15 13:10:16 |
77D |
2008-01-15 13:10:16 |
1 |
874 |
INSERT INTO t09 (D, B, C) VALUES … |
77B |
LOCK WAIT |
2008-01-15 13:10:16 |
77B:733:12:1 |
2008-01-15 13:10:16 |
4 |
873 |
INSERT INTO t09 (D, B, C) VALUES … |
77A |
RUNNING |
2008-01-15 13:10:16 |
NULL |
NULL |
4 |
872 |
SELECT b, c FROM t09 WHERE … |
E56 |
LOCK WAIT |
2008-01-15 13:10:06 |
E56:743:6:2 |
2008-01-15 13:10:06 |
5 |
384 |
INSERT INTO t2 VALUES … |
E55 |
LOCK WAIT |
2008-01-15 13:10:06 |
E55:743:38:2 |
2008-01-15 13:10:13 |
965 |
257 |
INSERT INTO t2 VALUES … |
19C |
RUNNING |
2008-01-15 13:09:10 |
NULL |
NULL |
2900 |
130 |
INSERT INTO t2 VALUES … |
E15 |
RUNNING |
2008-01-15 13:08:59 |
NULL |
NULL |
5395 |
61 |
INSERT INTO t2 VALUES … |
51D |
RUNNING |
2008-01-15 13:08:47 |
NULL |
NULL |
9807 |
8 |
INSERT INTO t2 VALUES … |
The following table shows the contents of the
data_lock_waits
table for a
system running a heavy
workload.
requesting trx id | requested lock id | blocking trx id | blocking lock id |
---|---|---|---|
77F |
77F:806 |
77E |
77E:806 |
77F |
77F:806 |
77D |
77D:806 |
77F |
77F:806 |
77B |
77B:806 |
77E |
77E:806 |
77D |
77D:806 |
77E |
77E:806 |
77B |
77B:806 |
77D |
77D:806 |
77B |
77B:806 |
77B |
77B:733:12:1 |
77A |
77A:733:12:1 |
E56 |
E56:743:6:2 |
E55 |
E55:743:6:2 |
E55 |
E55:743:38:2 |
19C |
19C:743:38:2 |
The following table shows the contents of the
data_locks
table for a system
running a heavy workload.
lock id | lock trx id | lock mode | lock type | lock schema | lock table | lock index | lock data |
---|---|---|---|---|---|---|---|
77F:806 |
77F |
AUTO_INC |
TABLE |
test |
t09 |
NULL |
NULL |
77E:806 |
77E |
AUTO_INC |
TABLE |
test |
t09 |
NULL |
NULL |
77D:806 |
77D |
AUTO_INC |
TABLE |
test |
t09 |
NULL |
NULL |
77B:806 |
77B |
AUTO_INC |
TABLE |
test |
t09 |
NULL |
NULL |
77B:733:12:1 |
77B |
X |
RECORD |
test |
t09 |
PRIMARY |
supremum pseudo-record |
77A:733:12:1 |
77A |
X |
RECORD |
test |
t09 |
PRIMARY |
supremum pseudo-record |
E56:743:6:2 |
E56 |
S |
RECORD |
test |
t2 |
PRIMARY |
0, 0 |
E55:743:6:2 |
E55 |
X |
RECORD |
test |
t2 |
PRIMARY |
0, 0 |
E55:743:38:2 |
E55 |
S |
RECORD |
test |
t2 |
PRIMARY |
1922, 1922 |
19C:743:38:2 |
19C |
X |
RECORD |
test |
t2 |
PRIMARY |
1922, 1922 |
This section describes locking information as exposed by the
Performance Schema data_locks
and
data_lock_waits
tables, which
supersede the INFORMATION_SCHEMA
INNODB_LOCKS
and
INNODB_LOCK_WAITS
tables in MySQL
8.0. For similar discussion written in terms of
the older INFORMATION_SCHEMA
tables, see
InnoDB Lock and Lock-Wait Information
in MySQL 5.7 Reference Manual.
When a transaction updates a row in a table, or locks it with
SELECT FOR UPDATE
, InnoDB
establishes a list or queue of locks on that row. Similarly,
InnoDB
maintains a list of locks on a table
for table-level locks. If a second transaction wants to update a
row or lock a table already locked by a prior transaction in an
incompatible mode, InnoDB
adds a lock request
for the row to the corresponding queue. For a lock to be
acquired by a transaction, all incompatible lock requests
previously entered into the lock queue for that row or table
must be removed (which occurs when the transactions holding or
requesting those locks either commit or roll back).
A transaction may have any number of lock requests for different
rows or tables. At any given time, a transaction may request a
lock that is held by another transaction, in which case it is
blocked by that other transaction. The requesting transaction
must wait for the transaction that holds the blocking lock to
commit or roll back. If a transaction is not waiting for a lock,
it is in a RUNNING
state. If a transaction is
waiting for a lock, it is in a LOCK WAIT
state. (The INFORMATION_SCHEMA
INNODB_TRX
table indicates
transaction state values.)
The Performance Schema data_locks
table holds one or more rows for each LOCK
WAIT
transaction, indicating any lock requests that
prevent its progress. This table also contains one row
describing each lock in a queue of locks pending for a given row
or table. The Performance Schema
data_lock_waits
table shows which
locks already held by a transaction are blocking locks requested
by other transactions.
This section describes locking information as exposed by the
Performance Schema data_locks
and
data_lock_waits
tables, which
supersede the INFORMATION_SCHEMA
INNODB_LOCKS
and
INNODB_LOCK_WAITS
tables in MySQL
8.0. For similar discussion written in terms of
the older INFORMATION_SCHEMA
tables, see
Persistence and Consistency of InnoDB Transaction and Locking Information
in MySQL 5.7 Reference Manual.
The data exposed by the transaction and locking tables
(INFORMATION_SCHEMA
INNODB_TRX
table, Performance
Schema data_locks
and
data_lock_waits
tables) represents
a glimpse into fast-changing data. This is not like user tables,
where the data changes only when application-initiated updates
occur. The underlying data is internal system-managed data, and
can change very quickly:
Data might not be consistent between the
INNODB_TRX
,
data_locks
, and
data_lock_waits
tables.
The data_locks
and
data_lock_waits
tables expose
live data from the InnoDB
storage engine,
to provide lock inormation about the transactions in the
INNODB_TRX
table. Data
retrieved from the lock tables exists when the
SELECT
is executed, but might
be gone or changed by the time the query result is consumed
by the client.
Joining data_locks
with
data_lock_waits
can show rows
in data_lock_waits
that
identify a parent row in
data_locks
that no longer
exists or does not exist yet.
Data in the transaction and locking tables might not be
consistent with data in the
INFORMATION_SCHEMA
PROCESSLIST
table or
Performance Schema threads
table.
For example, you should be careful when comparing data in
the InnoDB
transaction and locking tables
with data in the PROCESSLIST
table. Even if you issue a single SELECT
(joining INNODB_TRX
and
PROCESSLIST
, for example), the
content of those tables is generally not consistent. It is
possible for INNODB_TRX
to
reference rows that are not present in
PROCESSLIST
or for the
currently executing SQL query of a transaction shown in
INNODB_TRX.TRX_QUERY
to differ from the
one in PROCESSLIST.INFO
.
You can extract metadata about schema objects managed by
InnoDB
using InnoDB
INFORMATION_SCHEMA
tables. This information
comes from the data dictionary. Traditionally, you would get this
type of information using the techniques from
Section 15.16, “InnoDB Monitors”, setting up
InnoDB
monitors and parsing the output from the
SHOW ENGINE INNODB
STATUS
statement. The InnoDB
INFORMATION_SCHEMA
table interface allows you
to query this data using SQL.
InnoDB
INFORMATION_SCHEMA
schema object tables include the tables listed below.
INNODB_DATAFILES INNODB_TABLESTATS INNODB_FOREIGN INNODB_COLUMNS INNODB_INDEXES INNODB_FIELDS INNODB_TABLESPACES INNODB_TABLESPACES_BRIEF INNODB_FOREIGN_COLS INNODB_TABLES
The table names are indicative of the type of data provided:
INNODB_TABLES
provides metadata
about InnoDB
tables.
INNODB_COLUMNS
provides metadata
about InnoDB
table columns.
INNODB_INDEXES
provides metadata
about InnoDB
indexes.
INNODB_FIELDS
provides metadata
about the key columns (fields) of InnoDB
indexes.
INNODB_TABLESTATS
provides a view
of low-level status information about
InnoDB
tables that is derived from
in-memory data structures.
INNODB_DATAFILES
provides data
file path information for InnoDB
file-per-table and general tablespaces.
INNODB_TABLESPACES
provides
metadata about InnoDB
file-per-table,
general, and undo tablespaces.
INNODB_TABLESPACES_BRIEF
provides
a subset of metadata about InnoDB
tablespaces.
INNODB_FOREIGN
provides metadata
about foreign keys defined on InnoDB
tables.
INNODB_FOREIGN_COLS
provides
metadata about the columns of foreign keys that are defined on
InnoDB
tables.
InnoDB
INFORMATION_SCHEMA
schema object tables can be joined together through fields such as
TABLE_ID
, INDEX_ID
, and
SPACE
, allowing you to easily retrieve all
available data for an object you want to study or monitor.
Refer to the InnoDB
INFORMATION_SCHEMA
documentation for information about the columns of each table.
Example 15.2 InnoDB INFORMATION_SCHEMA Schema Object Tables
This example uses a simple table (t1
) with a
single index (i1
) to demonstrate the type of
metadata found in the InnoDB
INFORMATION_SCHEMA
schema object tables.
Create a test database and table t1
:
mysql>CREATE DATABASE test;
mysql>USE test;
mysql>CREATE TABLE t1 (
col1 INT,
col2 CHAR(10),
col3 VARCHAR(10))
ENGINE = InnoDB;
mysql>CREATE INDEX i1 ON t1(col1);
After creating the table t1
, query
INNODB_TABLES
to locate the
metadata for test/t1
:
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_TABLES WHERE NAME='test/t1' \G
*************************** 1. row ***************************
TABLE_ID: 71
NAME: test/t1
FLAG: 1
N_COLS: 6
SPACE: 57
ROW_FORMAT: Compact
ZIP_PAGE_SIZE: 0
INSTANT_COLS: 0
Table t1
has a
TABLE_ID
of 71. The
FLAG
field provides bit level information
about table format and storage characteristics. There are
six columns, three of which are hidden columns created by
InnoDB
(DB_ROW_ID
,
DB_TRX_ID
, and
DB_ROLL_PTR
). The ID of the table's
SPACE
is 57 (a value of 0 would indicate
that the table resides in the system tablespace). The
ROW_FORMAT
is Compact.
ZIP_PAGE_SIZE
only applies to tables with
a Compressed
row format.
INSTANT_COLS
shows number of columns in
the table prior to adding the first instant column using
ALTER TABLE ... ADD
COLUMN
with ALGORITHM=INSTANT
.
Using the TABLE_ID
information from
INNODB_TABLES
, query the
INNODB_COLUMNS
table for
information about the table's columns.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_COLUMNS where TABLE_ID = 71\G
*************************** 1. row ***************************
TABLE_ID: 71
NAME: col1
POS: 0
MTYPE: 6
PRTYPE: 1027
LEN: 4
HAS_DEFAULT: 0
DEFAULT_VALUE: NULL
*************************** 2. row ***************************
TABLE_ID: 71
NAME: col2
POS: 1
MTYPE: 2
PRTYPE: 524542
LEN: 10
HAS_DEFAULT: 0
DEFAULT_VALUE: NULL
*************************** 3. row ***************************
TABLE_ID: 71
NAME: col3
POS: 2
MTYPE: 1
PRTYPE: 524303
LEN: 10
HAS_DEFAULT: 0
DEFAULT_VALUE: NULL
In addition to the TABLE_ID
and column
NAME
,
INNODB_COLUMNS
provides the
ordinal position (POS
) of each column
(starting from 0 and incrementing sequentially), the column
MTYPE
or “main type” (6 =
INT, 2 = CHAR, 1 = VARCHAR), the PRTYPE
or “precise type” (a binary value with bits
that represent the MySQL data type, character set code, and
nullability), and the column length
(LEN
). The HAS_DEFAULT
and DEFAULT_VALUE
columns only apply to
columns added instantly using
ALTER TABLE ... ADD
COLUMN
with ALGORITHM=INSTANT
.
Using the TABLE_ID
information from
INNODB_TABLES
once again, query
INNODB_INDEXES
for information
about the indexes associated with table
t1
.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_INDEXES WHERE TABLE_ID = 71 \G
*************************** 1. row ***************************
INDEX_ID: 111
NAME: GEN_CLUST_INDEX
TABLE_ID: 71
TYPE: 1
N_FIELDS: 0
PAGE_NO: 3
SPACE: 57
MERGE_THRESHOLD: 50
*************************** 2. row ***************************
INDEX_ID: 112
NAME: i1
TABLE_ID: 71
TYPE: 0
N_FIELDS: 1
PAGE_NO: 4
SPACE: 57
MERGE_THRESHOLD: 50
INNODB_INDEXES
returns data for
two indexes. The first index is
GEN_CLUST_INDEX
, which is a clustered
index created by InnoDB
if the table does
not have a user-defined clustered index. The second index
(i1
) is the user-defined secondary index.
The INDEX_ID
is an identifier for the
index that is unique across all databases in an instance.
The TABLE_ID
identifies the table that
the index is associated with. The index
TYPE
value indicates the type of index (1
= Clustered Index, 0 = Secondary index). The
N_FILEDS
value is the number of fields
that comprise the index. PAGE_NO
is the
root page number of the index B-tree, and
SPACE
is the ID of the tablespace where
the index resides. A nonzero value indicates that the index
does not reside in the system tablespace.
MERGE_THRESHOLD
defines a percentage
threshold value for the amount of data in an index page. If
the amount of data in an index page falls below the this
value (the default is 50%) when a row is deleted or when a
row is shortened by an update operation,
InnoDB
attempts to merge the index page
with a neighboring index page.
Using the INDEX_ID
information from
INNODB_INDEXES
, query
INNODB_FIELDS
for information
about the fields of index i1
.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FIELDS where INDEX_ID = 112 \G
*************************** 1. row ***************************
INDEX_ID: 112
NAME: col1
POS: 0
INNODB_FIELDS
provides the
NAME
of the indexed field and its ordinal
position within the index. If the index (i1) had been
defined on multiple fields,
INNODB_FIELDS
would provide
metadata for each of the indexed fields.
Using the SPACE
information from
INNODB_TABLES
, query
INNODB_TABLESPACES
table for
information about the table's tablespace.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_TABLESPACES WHERE SPACE = 57 \G
*************************** 1. row ***************************
SPACE: 57
NAME: test/t1
FLAG: 16417
ROW_FORMAT: Dynamic
PAGE_SIZE: 16384
ZIP_PAGE_SIZE: 0
SPACE_TYPE: Single
FS_BLOCK_SIZE: 4096
FILE_SIZE: 114688
ALLOCATED_SIZE: 98304
SERVER_VERSION: 8.0.4
SPACE_VERSION: 1
ENCRYPTION: N
In addition to the SPACE
ID of the
tablespace and the NAME
of the associated
table, INNODB_TABLESPACES
provides tablespace FLAG
data, which is
bit level information about tablespace format and storage
characteristics. Also provided are tablespace
ROW_FORMAT
, PAGE_SIZE
,
and several other tablespace metadata items.
Using the SPACE
information from
INNODB_TABLES
once again, query
INNODB_DATAFILES
for the
location of the tablespace data file.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_DATAFILES WHERE SPACE = 57 \G
*************************** 1. row ***************************
SPACE: 57
PATH: ./test/t1.ibd
The datafile is located in the test
directory under MySQL's data
directory.
If a
file-per-table
tablespace were created in a location outside the MySQL data
directory using the DATA DIRECTORY
clause
of the CREATE TABLE
statement, the tablespace PATH
would be a
fully qualified directory path.
As a final step, insert a row into table
t1
(TABLE_ID = 71
) and
view the data in the
INNODB_TABLESTATS
table. The
data in this table is used by the MySQL optimizer to
calculate which index to use when querying an
InnoDB
table. This information is derived
from in-memory data structures.
mysql>INSERT INTO t1 VALUES(5, 'abc', 'def');
Query OK, 1 row affected (0.06 sec) mysql>SELECT * FROM INFORMATION_SCHEMA.INNODB_TABLESTATS where TABLE_ID = 71 \G
*************************** 1. row *************************** TABLE_ID: 71 NAME: test/t1 STATS_INITIALIZED: Initialized NUM_ROWS: 1 CLUST_INDEX_SIZE: 1 OTHER_INDEX_SIZE: 0 MODIFIED_COUNTER: 1 AUTOINC: 0 REF_COUNT: 1
The STATS_INITIALIZED
field indicates
whether or not statistics have been collected for the table.
NUM_ROWS
is the current estimated number
of rows in the table. The
CLUST_INDEX_SIZE
and
OTHER_INDEX_SIZE
fields report the number
of pages on disk that store clustered and secondary indexes
for the table, respectively. The
MODIFIED_COUNTER
value shows the number
of rows modified by DML operations and cascade operations
from foreign keys. The AUTOINC
value is
the next number to be issued for any autoincrement-based
operation. There are no autoincrement columns defined on
table t1
, so the value is 0. The
REF_COUNT
value is a counter. When the
counter reaches 0, it signifies that the table metadata can
be evicted from the table cache.
Example 15.3 Foreign Key INFORMATION_SCHEMA Schema Object Tables
The INNODB_FOREIGN
and
INNODB_FOREIGN_COLS
tables provide
data about foreign key relationships. This example uses a parent
table and child table with a foreign key relationship to
demonstrate the data found in the
INNODB_FOREIGN
and
INNODB_FOREIGN_COLS
tables.
Create the test database with parent and child tables:
mysql>CREATE DATABASE test;
mysql>USE test;
mysql>CREATE TABLE parent (id INT NOT NULL,
PRIMARY KEY (id)) ENGINE=INNODB;
mysql>CREATE TABLE child (id INT, parent_id INT,
INDEX par_ind (parent_id),
CONSTRAINT fk1
FOREIGN KEY (parent_id) REFERENCES parent(id)
ON DELETE CASCADE) ENGINE=INNODB;
After the parent and child tables are created, query
INNODB_FOREIGN
and locate the
foreign key data for the test/child
and
test/parent
foreign key relationship:
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FOREIGN \G
*************************** 1. row ***************************
ID: test/fk1
FOR_NAME: test/child
REF_NAME: test/parent
N_COLS: 1
TYPE: 1
Metadata includes the foreign key ID
(fk1
), which is named for the
CONSTRAINT
that was defined on the child
table. The FOR_NAME
is the name of the
child table where the foreign key is defined.
REF_NAME
is the name of the parent table
(the “referenced” table).
N_COLS
is the number of columns in the
foreign key index. TYPE
is a numerical
value representing bit flags that provide additional
information about the foreign key column. In this case, the
TYPE
value is 1, which indicates that the
ON DELETE CASCADE
option was specified
for the foreign key. See the
INNODB_FOREIGN
table definition
for more information about TYPE
values.
Using the foreign key ID
, query
INNODB_FOREIGN_COLS
to view
data about the columns of the foreign key.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FOREIGN_COLS WHERE ID = 'test/fk1' \G
*************************** 1. row ***************************
ID: test/fk1
FOR_COL_NAME: parent_id
REF_COL_NAME: id
POS: 0
FOR_COL_NAME
is the name of the foreign
key column in the child table, and
REF_COL_NAME
is the name of the
referenced column in the parent table. The
POS
value is the ordinal position of the
key field within the foreign key index, starting at zero.
Example 15.4 Joining InnoDB INFORMATION_SCHEMA Schema Object Tables
This example demonstrates joining three
InnoDB
INFORMATION_SCHEMA
schema object tables
(INNODB_TABLES
,
INNODB_TABLESPACES
, and
INNODB_TABLESTATS
) to gather file
format, row format, page size, and index size information about
tables in the employees sample database.
The following table name aliases are used to shorten the query string:
An IF()
control flow function is
used to account for compressed tables. If a table is compressed,
the index size is calculated using
ZIP_PAGE_SIZE
rather than
PAGE_SIZE
.
CLUST_INDEX_SIZE
and
OTHER_INDEX_SIZE
, which are reported in
bytes, are divided by 1024*1024
to provide
index sizes in megabytes (MBs). MB values are rounded to zero
decimal spaces using the ROUND()
function.
mysql>SELECT a.NAME, a.ROW_FORMAT,
@page_size :=
IF(a.ROW_FORMAT='Compressed',
b.ZIP_PAGE_SIZE, b.PAGE_SIZE)
AS page_size,
ROUND((@page_size * c.CLUST_INDEX_SIZE)
/(1024*1024)) AS pk_mb,
ROUND((@page_size * c.OTHER_INDEX_SIZE)
/(1024*1024)) AS secidx_mb
FROM INFORMATION_SCHEMA.INNODB_TABLES a
INNER JOIN INFORMATION_SCHEMA.INNODB_TABLESPACES b on a.NAME = b.NAME
INNER JOIN INFORMATION_SCHEMA.INNODB_TABLESTATS c on b.NAME = c.NAME
WHERE a.NAME LIKE 'employees/%'
ORDER BY a.NAME DESC;
+------------------------+------------+-----------+-------+-----------+ | NAME | ROW_FORMAT | page_size | pk_mb | secidx_mb | +------------------------+------------+-----------+-------+-----------+ | employees/titles | Dynamic | 16384 | 20 | 11 | | employees/salaries | Dynamic | 16384 | 93 | 34 | | employees/employees | Dynamic | 16384 | 15 | 0 | | employees/dept_manager | Dynamic | 16384 | 0 | 0 | | employees/dept_emp | Dynamic | 16384 | 12 | 10 | | employees/departments | Dynamic | 16384 | 0 | 0 | +------------------------+------------+-----------+-------+-----------+
The following tables provide metadata for
FULLTEXT
indexes:
mysql> SHOW TABLES FROM INFORMATION_SCHEMA LIKE 'INNODB_FT%';
+-------------------------------------------+
| Tables_in_INFORMATION_SCHEMA (INNODB_FT%) |
+-------------------------------------------+
| INNODB_FT_CONFIG |
| INNODB_FT_BEING_DELETED |
| INNODB_FT_DELETED |
| INNODB_FT_DEFAULT_STOPWORD |
| INNODB_FT_INDEX_TABLE |
| INNODB_FT_INDEX_CACHE |
+-------------------------------------------+
INNODB_FT_CONFIG
: Provides
metadata about the FULLTEXT
index and
associated processing for an InnoDB
table.
INNODB_FT_BEING_DELETED
: Provides
a snapshot of the
INNODB_FT_DELETED
table; it is
used only during an OPTIMIZE
TABLE
maintenance operation. When
OPTIMIZE TABLE
is run, the
INNODB_FT_BEING_DELETED
table is
emptied, and DOC_ID
values are removed from
the INNODB_FT_DELETED
table.
Because the contents of
INNODB_FT_BEING_DELETED
typically
have a short lifetime, this table has limited utility for
monitoring or debugging. For information about running
OPTIMIZE TABLE
on tables with
FULLTEXT
indexes, see
Section 12.9.6, “Fine-Tuning MySQL Full-Text Search”.
INNODB_FT_DELETED
: Stores rows
that are deleted from the FULLTEXT
index
for an InnoDB
table. To avoid expensive
index reorganization during DML operations for an
InnoDB
FULLTEXT
index,
the information about newly deleted words is stored
separately, filtered out of search results when you do a text
search, and removed from the main search index only when you
issue an OPTIMIZE TABLE
statement for the InnoDB
table.
INNODB_FT_DEFAULT_STOPWORD
: Holds
a list of stopwords that
are used by default when creating a
FULLTEXT
index on InnoDB
tables.
For information about the
INNODB_FT_DEFAULT_STOPWORD
table,
see Section 12.9.4, “Full-Text Stopwords”.
INNODB_FT_INDEX_TABLE
: Provides
information about the inverted index used to process text
searches against the FULLTEXT
index of an
InnoDB
table.
INNODB_FT_INDEX_CACHE
: Provides
token information about newly inserted rows in a
FULLTEXT
index. To avoid expensive index
reorganization during DML operations, the information about
newly indexed words is stored separately, and combined with
the main search index only when OPTIMIZE
TABLE
is run, when the server is shut down, or when
the cache size exceeds a limit defined by the
innodb_ft_cache_size
or
innodb_ft_total_cache_size
system variable.
With the exception of the
INNODB_FT_DEFAULT_STOPWORD
table,
these tables are empty initially. Before querying any of them,
set the value of the
innodb_ft_aux_table
system
variable to the name (including the database name) of the table
that contains the FULLTEXT
index; for example
test/articles
.
Example 15.5 InnoDB FULLTEXT Index INFORMATION_SCHEMA Tables
This example uses a table with a FULLTEXT
index to demonstrate the data contained in the
FULLTEXT
index
INFORMATION_SCHEMA
tables.
Create a table with a FULLTEXT
index and
insert some data:
mysql>CREATE TABLE articles (
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
title VARCHAR(200),
body TEXT,
FULLTEXT (title,body)
) ENGINE=InnoDB;
mysql>INSERT INTO articles (title,body) VALUES
('MySQL Tutorial','DBMS stands for DataBase ...'),
('How To Use MySQL Well','After you went through a ...'),
('Optimizing MySQL','In this tutorial we will show ...'),
('1001 MySQL Tricks','1. Never run mysqld as root. 2. ...'),
('MySQL vs. YourSQL','In the following database comparison ...'),
('MySQL Security','When configured properly, MySQL ...');
Set the innodb_ft_aux_table
variable to the name of the table with the
FULLTEXT
index. If this variable is not
set, the InnoDB
FULLTEXT
INFORMATION_SCHEMA
tables are empty, with
the exception of
INNODB_FT_DEFAULT_STOPWORD
.
mysql> SET GLOBAL innodb_ft_aux_table = 'test/articles';
Query the INNODB_FT_INDEX_CACHE
table, which shows information about newly inserted rows in
a FULLTEXT
index. To avoid expensive
index reorganization during DML operations, data for newly
inserted rows remains in the FULLTEXT
index cache until OPTIMIZE
TABLE
is run (or until the server is shut down or
cache limits are exceeded).
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FT_INDEX_CACHE LIMIT 5;
+------------+--------------+-------------+-----------+--------+----------+
| WORD | FIRST_DOC_ID | LAST_DOC_ID | DOC_COUNT | DOC_ID | POSITION |
+------------+--------------+-------------+-----------+--------+----------+
| 1001 | 5 | 5 | 1 | 5 | 0 |
| after | 3 | 3 | 1 | 3 | 22 |
| comparison | 6 | 6 | 1 | 6 | 44 |
| configured | 7 | 7 | 1 | 7 | 20 |
| database | 2 | 6 | 2 | 2 | 31 |
+------------+--------------+-------------+-----------+--------+----------+
Enable the
innodb_optimize_fulltext_only
system variable and run OPTIMIZE
TABLE
on the table that contains the
FULLTEXT
index. This operation flushes
the contents of the FULLTEXT
index cache
to the main FULLTEXT
index.
innodb_optimize_fulltext_only
changes the way the OPTIMIZE
TABLE
statement operates on
InnoDB
tables, and is intended to be
enabled temporarily, during maintenance operations on
InnoDB
tables with
FULLTEXT
indexes.
mysql>SET GLOBAL innodb_optimize_fulltext_only=ON;
mysql>OPTIMIZE TABLE articles;
+---------------+----------+----------+----------+ | Table | Op | Msg_type | Msg_text | +---------------+----------+----------+----------+ | test.articles | optimize | status | OK | +---------------+----------+----------+----------+
Query the INNODB_FT_INDEX_TABLE
table to view information about data in the main
FULLTEXT
index, including information
about the data that was just flushed from the
FULLTEXT
index cache.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FT_INDEX_TABLE LIMIT 5;
+------------+--------------+-------------+-----------+--------+----------+
| WORD | FIRST_DOC_ID | LAST_DOC_ID | DOC_COUNT | DOC_ID | POSITION |
+------------+--------------+-------------+-----------+--------+----------+
| 1001 | 5 | 5 | 1 | 5 | 0 |
| after | 3 | 3 | 1 | 3 | 22 |
| comparison | 6 | 6 | 1 | 6 | 44 |
| configured | 7 | 7 | 1 | 7 | 20 |
| database | 2 | 6 | 2 | 2 | 31 |
+------------+--------------+-------------+-----------+--------+----------+
The INNODB_FT_INDEX_CACHE
table
is now empty since the OPTIMIZE
TABLE
operation flushed the
FULLTEXT
index cache.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FT_INDEX_CACHE LIMIT 5;
Empty set (0.00 sec)
Delete some records from the
test/articles
table.
mysql> DELETE FROM test.articles WHERE id < 4;
Query the INNODB_FT_DELETED
table. This table records rows that are deleted from the
FULLTEXT
index. To avoid expensive index
reorganization during DML operations, information about
newly deleted records is stored separately, filtered out of
search results when you do a text search, and removed from
the main search index when you run
OPTIMIZE TABLE
.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FT_DELETED;
+--------+
| DOC_ID |
+--------+
| 2 |
| 3 |
| 4 |
+--------+
Run OPTIMIZE TABLE
to remove
the deleted records.
mysql> OPTIMIZE TABLE articles;
+---------------+----------+----------+----------+
| Table | Op | Msg_type | Msg_text |
+---------------+----------+----------+----------+
| test.articles | optimize | status | OK |
+---------------+----------+----------+----------+
The INNODB_FT_DELETED
table
should now be empty.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FT_DELETED;
Empty set (0.00 sec)
Query the INNODB_FT_CONFIG
table. This table contains metadata about the
FULLTEXT
index and related processing:
optimize_checkpoint_limit
: The number
of seconds after which an OPTIMIZE
TABLE
run stops.
synced_doc_id
: The next
DOC_ID
to be issued.
stopword_table_name
: The
database/table
name for a
user-defined stopword table. The
VALUE
column is empty if there is no
user-defined stopword table.
use_stopword
: Indicates whether a
stopword table is used, which is defined when the
FULLTEXT
index is created.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_FT_CONFIG;
+---------------------------+-------+
| KEY | VALUE |
+---------------------------+-------+
| optimize_checkpoint_limit | 180 |
| synced_doc_id | 8 |
| stopword_table_name | |
| use_stopword | 1 |
+---------------------------+-------+
Disable
innodb_optimize_fulltext_only
,
since it is intended to be enabled only temporarily:
mysql> SET GLOBAL innodb_optimize_fulltext_only=OFF;
The InnoDB
INFORMATION_SCHEMA
buffer pool tables provide
buffer pool status information and metadata about the pages within
the InnoDB
buffer pool.
The InnoDB
INFORMATION_SCHEMA
buffer pool tables include
those listed below:
mysql> SHOW TABLES FROM INFORMATION_SCHEMA LIKE 'INNODB_BUFFER%';
+-----------------------------------------------+
| Tables_in_INFORMATION_SCHEMA (INNODB_BUFFER%) |
+-----------------------------------------------+
| INNODB_BUFFER_PAGE_LRU |
| INNODB_BUFFER_PAGE |
| INNODB_BUFFER_POOL_STATS |
+-----------------------------------------------+
INNODB_BUFFER_PAGE
: Holds
information about each page in the InnoDB
buffer pool.
INNODB_BUFFER_PAGE_LRU
: Holds
information about the pages in the InnoDB
buffer pool, in particular how they are ordered in the LRU
list that determines which pages to evict from the buffer pool
when it becomes full. The
INNODB_BUFFER_PAGE_LRU
table has
the same columns as the
INNODB_BUFFER_PAGE
table, except
that the INNODB_BUFFER_PAGE_LRU
table has an LRU_POSITION
column instead of
a BLOCK_ID
column.
INNODB_BUFFER_POOL_STATS
:
Provides buffer pool status information. Much of the same
information is provided by
SHOW ENGINE
INNODB STATUS
output, or may be obtained using
InnoDB
buffer pool server status variables.
Querying the INNODB_BUFFER_PAGE
or
INNODB_BUFFER_PAGE_LRU
table can
affect performance. Do not query these tables on a production
system unless you are aware of the performance impact and have
determined it to be acceptable. To avoid impacting performance
on a production system, reproduce the issue you want to
investigate and query buffer pool statistics on a test instance.
Example 15.6 Querying System Data in the INNODB_BUFFER_PAGE Table
This query provides an approximate count of pages that contain
system data by excluding pages where the
TABLE_NAME
value is either
NULL
or includes a slash /
or period .
in the table name, which
indicates a user-defined table.
mysql>SELECT COUNT(*) FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE TABLE_NAME IS NULL OR (INSTR(TABLE_NAME, '/') = 0 AND INSTR(TABLE_NAME, '.') = 0);
+----------+ | COUNT(*) | +----------+ | 1516 | +----------+
This query returns the approximate number of pages that contain system data, the total number of buffer pool pages, and an approximate percentage of pages that contain system data.
mysql>SELECT
(SELECT COUNT(*) FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE TABLE_NAME IS NULL OR (INSTR(TABLE_NAME, '/') = 0 AND INSTR(TABLE_NAME, '.') = 0)
) AS system_pages,
(
SELECT COUNT(*)
FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
) AS total_pages,
(
SELECT ROUND((system_pages/total_pages) * 100)
) AS system_page_percentage;
+--------------+-------------+------------------------+ | system_pages | total_pages | system_page_percentage | +--------------+-------------+------------------------+ | 295 | 8192 | 4 | +--------------+-------------+------------------------+
The type of system data in the buffer pool can be determined by
querying the PAGE_TYPE
value. For example,
the following query returns eight distinct
PAGE_TYPE
values among the pages that contain
system data:
mysql>SELECT DISTINCT PAGE_TYPE FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE TABLE_NAME IS NULL OR (INSTR(TABLE_NAME, '/') = 0 AND INSTR(TABLE_NAME, '.') = 0);
+-------------------+ | PAGE_TYPE | +-------------------+ | SYSTEM | | IBUF_BITMAP | | UNKNOWN | | FILE_SPACE_HEADER | | INODE | | UNDO_LOG | | ALLOCATED | +-------------------+
Example 15.7 Querying User Data in the INNODB_BUFFER_PAGE Table
This query provides an approximate count of pages containing
user data by counting pages where the
TABLE_NAME
value is NOT
NULL
and NOT LIKE
'%INNODB_TABLES%'
.
mysql>SELECT COUNT(*) FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE TABLE_NAME IS NOT NULL AND TABLE_NAME NOT LIKE '%INNODB_TABLES%';
+----------+ | COUNT(*) | +----------+ | 7897 | +----------+
This query returns the approximate number of pages that contain user data, the total number of buffer pool pages, and an approximate percentage of pages that contain user data.
mysql>SELECT
(SELECT COUNT(*) FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE TABLE_NAME IS NOT NULL AND (INSTR(TABLE_NAME, '/') > 0 OR INSTR(TABLE_NAME, '.') > 0)) AS user_pages,
(
SELECT COUNT(*)
FROM information_schema.INNODB_BUFFER_PAGE
) AS total_pages,
(
SELECT ROUND((user_pages/total_pages) * 100)
) AS user_page_percentage;
+------------+-------------+----------------------+ | user_pages | total_pages | user_page_percentage | +------------+-------------+----------------------+ | 7897 | 8192 | 96 | +------------+-------------+----------------------+
This query identifies user-defined tables with pages in the buffer pool:
mysql>SELECT DISTINCT TABLE_NAME FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE TABLE_NAME IS NOT NULL AND (INSTR(TABLE_NAME, '/') > 0 OR INSTR(TABLE_NAME, '.') > 0)
AND TABLE_NAME NOT LIKE '`mysql`.`innodb_%';
+-------------------------+ | TABLE_NAME | +-------------------------+ | `employees`.`salaries` | | `employees`.`employees` | +-------------------------+
Example 15.8 Querying Index Data in the INNODB_BUFFER_PAGE Table
For information about index pages, query the
INDEX_NAME
column using the name of the
index. For example, the following query returns the number of
pages and total data size of pages for the
emp_no
index that is defined on the
employees.salaries
table:
mysql>SELECT INDEX_NAME, COUNT(*) AS Pages,
ROUND(SUM(IF(COMPRESSED_SIZE = 0, @@GLOBAL.innodb_page_size, COMPRESSED_SIZE))/1024/1024)
AS 'Total Data (MB)'
FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE INDEX_NAME='emp_no' AND TABLE_NAME = '`employees`.`salaries`';
+------------+-------+-----------------+ | INDEX_NAME | Pages | Total Data (MB) | +------------+-------+-----------------+ | emp_no | 1609 | 25 | +------------+-------+-----------------+
This query returns the number of pages and total data size of
pages for all indexes defined on the
employees.salaries
table:
mysql>SELECT INDEX_NAME, COUNT(*) AS Pages,
ROUND(SUM(IF(COMPRESSED_SIZE = 0, @@GLOBAL.innodb_page_size, COMPRESSED_SIZE))/1024/1024)
AS 'Total Data (MB)'
FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE
WHERE TABLE_NAME = '`employees`.`salaries`'
GROUP BY INDEX_NAME;
+------------+-------+-----------------+ | INDEX_NAME | Pages | Total Data (MB) | +------------+-------+-----------------+ | emp_no | 1608 | 25 | | PRIMARY | 6086 | 95 | +------------+-------+-----------------+
Example 15.9 Querying LRU_POSITION Data in the INNODB_BUFFER_PAGE_LRU Table
The INNODB_BUFFER_PAGE_LRU
table
holds information about the pages in the
InnoDB
buffer pool, in particular how they
are ordered that determines which pages to evict from the buffer
pool when it becomes full. The definition for this page is the
same as for INNODB_BUFFER_PAGE
,
except this table has an LRU_POSITION
column
instead of a BLOCK_ID
column.
This query counts the number of positions at a specific location
in the LRU list occupied by pages of the
employees.employees
table.
mysql>SELECT COUNT(LRU_POSITION) FROM INFORMATION_SCHEMA.INNODB_BUFFER_PAGE_LRU
WHERE TABLE_NAME='`employees`.`employees`' AND LRU_POSITION < 3072;
+---------------------+ | COUNT(LRU_POSITION) | +---------------------+ | 548 | +---------------------+
Example 15.10 Querying the INNODB_BUFFER_POOL_STATS Table
The INNODB_BUFFER_POOL_STATS
table
provides information similar to
SHOW ENGINE INNODB
STATUS
and InnoDB
buffer pool
status variables.
mysql> SELECT * FROM information_schema.INNODB_BUFFER_POOL_STATS \G
*************************** 1. row ***************************
POOL_ID: 0
POOL_SIZE: 8192
FREE_BUFFERS: 1
DATABASE_PAGES: 8173
OLD_DATABASE_PAGES: 3014
MODIFIED_DATABASE_PAGES: 0
PENDING_DECOMPRESS: 0
PENDING_READS: 0
PENDING_FLUSH_LRU: 0
PENDING_FLUSH_LIST: 0
PAGES_MADE_YOUNG: 15907
PAGES_NOT_MADE_YOUNG: 3803101
PAGES_MADE_YOUNG_RATE: 0
PAGES_MADE_NOT_YOUNG_RATE: 0
NUMBER_PAGES_READ: 3270
NUMBER_PAGES_CREATED: 13176
NUMBER_PAGES_WRITTEN: 15109
PAGES_READ_RATE: 0
PAGES_CREATE_RATE: 0
PAGES_WRITTEN_RATE: 0
NUMBER_PAGES_GET: 33069332
HIT_RATE: 0
YOUNG_MAKE_PER_THOUSAND_GETS: 0
NOT_YOUNG_MAKE_PER_THOUSAND_GETS: 0
NUMBER_PAGES_READ_AHEAD: 2713
NUMBER_READ_AHEAD_EVICTED: 0
READ_AHEAD_RATE: 0
READ_AHEAD_EVICTED_RATE: 0
LRU_IO_TOTAL: 0
LRU_IO_CURRENT: 0
UNCOMPRESS_TOTAL: 0
UNCOMPRESS_CURRENT: 0
For comparison,
SHOW ENGINE INNODB
STATUS
output and InnoDB
buffer
pool status variable output is shown below, based on the same
data set.
For more information about
SHOW ENGINE INNODB
STATUS
output, see
Section 15.16.3, “InnoDB Standard Monitor and Lock Monitor Output”.
mysql> SHOW ENGINE INNODB STATUS \G
...
----------------------
BUFFER POOL AND MEMORY
----------------------
Total large memory allocated 137428992
Dictionary memory allocated 579084
Buffer pool size 8192
Free buffers 1
Database pages 8173
Old database pages 3014
Modified db pages 0
Pending reads 0
Pending writes: LRU 0, flush list 0, single page 0
Pages made young 15907, not young 3803101
0.00 youngs/s, 0.00 non-youngs/s
Pages read 3270, created 13176, written 15109
0.00 reads/s, 0.00 creates/s, 0.00 writes/s
No buffer pool page gets since the last printout
Pages read ahead 0.00/s, evicted without access 0.00/s, Random read ahead 0.00/s
LRU len: 8173, unzip_LRU len: 0
I/O sum[0]:cur[0], unzip sum[0]:cur[0]
...
For status variable descriptions, see Section 5.1.10, “Server Status Variables”.
mysql> SHOW STATUS LIKE 'Innodb_buffer%';
+---------------------------------------+-------------+
| Variable_name | Value |
+---------------------------------------+-------------+
| Innodb_buffer_pool_dump_status | not started |
| Innodb_buffer_pool_load_status | not started |
| Innodb_buffer_pool_resize_status | not started |
| Innodb_buffer_pool_pages_data | 8173 |
| Innodb_buffer_pool_bytes_data | 133906432 |
| Innodb_buffer_pool_pages_dirty | 0 |
| Innodb_buffer_pool_bytes_dirty | 0 |
| Innodb_buffer_pool_pages_flushed | 15109 |
| Innodb_buffer_pool_pages_free | 1 |
| Innodb_buffer_pool_pages_misc | 18 |
| Innodb_buffer_pool_pages_total | 8192 |
| Innodb_buffer_pool_read_ahead_rnd | 0 |
| Innodb_buffer_pool_read_ahead | 2713 |
| Innodb_buffer_pool_read_ahead_evicted | 0 |
| Innodb_buffer_pool_read_requests | 33069332 |
| Innodb_buffer_pool_reads | 558 |
| Innodb_buffer_pool_wait_free | 0 |
| Innodb_buffer_pool_write_requests | 11985961 |
+---------------------------------------+-------------+
The INNODB_METRICS
table provides
information about InnoDB
performance and
resource-related counters.
INNODB_METRICS
table columns are
shown below. For column descriptions, see
Section 25.39.22, “The INFORMATION_SCHEMA INNODB_METRICS Table”.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME="dml_inserts" \G
*************************** 1. row ***************************
NAME: dml_inserts
SUBSYSTEM: dml
COUNT: 46273
MAX_COUNT: 46273
MIN_COUNT: NULL
AVG_COUNT: 492.2659574468085
COUNT_RESET: 46273
MAX_COUNT_RESET: 46273
MIN_COUNT_RESET: NULL
AVG_COUNT_RESET: NULL
TIME_ENABLED: 2014-11-28 16:07:53
TIME_DISABLED: NULL
TIME_ELAPSED: 94
TIME_RESET: NULL
STATUS: enabled
TYPE: status_counter
COMMENT: Number of rows inserted
You can enable, disable, and reset counters using the following variables:
innodb_monitor_enable
:
Enables counters.
SET GLOBAL innodb_monitor_enable = [counter-name|module_name|pattern|all];
innodb_monitor_disable
:
Disables counters.
SET GLOBAL innodb_monitor_disable = [counter-name|module_name|pattern|all];
innodb_monitor_reset
: Resets
counter values to zero.
SET GLOBAL innodb_monitor_reset = [counter-name|module_name|pattern|all];
innodb_monitor_reset_all
:
Resets all counter values. A counter must be disabled before
using
innodb_monitor_reset_all
.
SET GLOBAL innodb_monitor_reset_all = [counter-name|module_name|pattern|all];
Counters and counter modules can also be enabled at startup using
the MySQL server configuration file. For example, to enable the
log
module,
metadata_table_handles_opened
and
metadata_table_handles_closed
counters, enter
the following line in the [mysqld]
section of
the MySQL server configuration file.
[mysqld] innodb_monitor_enable = module_recovery,metadata_table_handles_opened,metadata_table_handles_closed
When enabling multiple counters or modules in a configuration
file, specify the
innodb_monitor_enable
variable
followed by counter and module names separated by a comma, as
shown above. Only the
innodb_monitor_enable
variable
can be used in a configuration file. The
innodb_monitor_disable
and
innodb_monitor_reset
variables
are supported on the command line only.
Because each counter adds a degree of runtime overhead, use counters conservatively on production servers to diagnose specific issues or monitor specific functionality. A test or development server is recommended for more extensive use of counters.
The list of available counters is subject to change. Query the
INFORMATION_SCHEMA.INNODB_METRICS
table for counters available in your MySQL server version.
The counters enabled by default correspond to those shown in
SHOW ENGINE INNODB
STATUS
output. Counters shown in
SHOW ENGINE INNODB
STATUS
output are always enabled at a system level but
can be disable for the INNODB_METRICS
table. Counter status is not persistent. Unless configured
otherwise, counters revert to their default enabled or disabled
status when the server is restarted.
If you run programs that would be affected by the addition or
removal of counters, it is recommended that you review the
releases notes and query the
INNODB_METRICS
table to identify
those changes as part of your upgrade process.
mysql> SELECT name, subsystem, status FROM INFORMATION_SCHEMA.INNODB_METRICS ORDER BY NAME;
+------------------------------------------+---------------------+----------+
| name | subsystem | status |
+------------------------------------------+---------------------+----------+
| adaptive_hash_pages_added | adaptive_hash_index | disabled |
| adaptive_hash_pages_removed | adaptive_hash_index | disabled |
| adaptive_hash_rows_added | adaptive_hash_index | disabled |
| adaptive_hash_rows_deleted_no_hash_entry | adaptive_hash_index | disabled |
| adaptive_hash_rows_removed | adaptive_hash_index | disabled |
| adaptive_hash_rows_updated | adaptive_hash_index | disabled |
| adaptive_hash_searches | adaptive_hash_index | enabled |
| adaptive_hash_searches_btree | adaptive_hash_index | enabled |
| buffer_data_reads | buffer | enabled |
| buffer_data_written | buffer | enabled |
| buffer_flush_adaptive | buffer | disabled |
| buffer_flush_adaptive_avg_pass | buffer | disabled |
| buffer_flush_adaptive_avg_time_est | buffer | disabled |
| buffer_flush_adaptive_avg_time_slot | buffer | disabled |
| buffer_flush_adaptive_avg_time_thread | buffer | disabled |
| buffer_flush_adaptive_pages | buffer | disabled |
| buffer_flush_adaptive_total_pages | buffer | disabled |
| buffer_flush_avg_page_rate | buffer | disabled |
| buffer_flush_avg_pass | buffer | disabled |
| buffer_flush_avg_time | buffer | disabled |
| buffer_flush_background | buffer | disabled |
| buffer_flush_background_pages | buffer | disabled |
| buffer_flush_background_total_pages | buffer | disabled |
| buffer_flush_batches | buffer | disabled |
| buffer_flush_batch_num_scan | buffer | disabled |
| buffer_flush_batch_pages | buffer | disabled |
| buffer_flush_batch_scanned | buffer | disabled |
| buffer_flush_batch_scanned_per_call | buffer | disabled |
| buffer_flush_batch_total_pages | buffer | disabled |
| buffer_flush_lsn_avg_rate | buffer | disabled |
| buffer_flush_neighbor | buffer | disabled |
| buffer_flush_neighbor_pages | buffer | disabled |
| buffer_flush_neighbor_total_pages | buffer | disabled |
| buffer_flush_n_to_flush_by_age | buffer | disabled |
| buffer_flush_n_to_flush_requested | buffer | disabled |
| buffer_flush_pct_for_dirty | buffer | disabled |
| buffer_flush_pct_for_lsn | buffer | disabled |
| buffer_flush_sync | buffer | disabled |
| buffer_flush_sync_pages | buffer | disabled |
| buffer_flush_sync_total_pages | buffer | disabled |
| buffer_flush_sync_waits | buffer | disabled |
| buffer_LRU_batches_evict | buffer | disabled |
| buffer_LRU_batches_flush | buffer | disabled |
| buffer_LRU_batch_evict_pages | buffer | disabled |
| buffer_LRU_batch_evict_total_pages | buffer | disabled |
| buffer_LRU_batch_flush_avg_pass | buffer | disabled |
| buffer_LRU_batch_flush_avg_time_est | buffer | disabled |
| buffer_LRU_batch_flush_avg_time_slot | buffer | disabled |
| buffer_LRU_batch_flush_avg_time_thread | buffer | disabled |
| buffer_LRU_batch_flush_pages | buffer | disabled |
| buffer_LRU_batch_flush_total_pages | buffer | disabled |
| buffer_LRU_batch_num_scan | buffer | disabled |
| buffer_LRU_batch_scanned | buffer | disabled |
| buffer_LRU_batch_scanned_per_call | buffer | disabled |
| buffer_LRU_get_free_loops | buffer | disabled |
| buffer_LRU_get_free_search | Buffer | disabled |
| buffer_LRU_get_free_waits | buffer | disabled |
| buffer_LRU_search_num_scan | buffer | disabled |
| buffer_LRU_search_scanned | buffer | disabled |
| buffer_LRU_search_scanned_per_call | buffer | disabled |
| buffer_LRU_single_flush_failure_count | Buffer | disabled |
| buffer_LRU_single_flush_num_scan | buffer | disabled |
| buffer_LRU_single_flush_scanned | buffer | disabled |
| buffer_LRU_single_flush_scanned_per_call | buffer | disabled |
| buffer_LRU_unzip_search_num_scan | buffer | disabled |
| buffer_LRU_unzip_search_scanned | buffer | disabled |
| buffer_LRU_unzip_search_scanned_per_call | buffer | disabled |
| buffer_pages_created | buffer | enabled |
| buffer_pages_read | buffer | enabled |
| buffer_pages_written | buffer | enabled |
| buffer_page_read_blob | buffer_page_io | disabled |
| buffer_page_read_fsp_hdr | buffer_page_io | disabled |
| buffer_page_read_ibuf_bitmap | buffer_page_io | disabled |
| buffer_page_read_ibuf_free_list | buffer_page_io | disabled |
| buffer_page_read_index_ibuf_leaf | buffer_page_io | disabled |
| buffer_page_read_index_ibuf_non_leaf | buffer_page_io | disabled |
| buffer_page_read_index_inode | buffer_page_io | disabled |
| buffer_page_read_index_leaf | buffer_page_io | disabled |
| buffer_page_read_index_non_leaf | buffer_page_io | disabled |
| buffer_page_read_other | buffer_page_io | disabled |
| buffer_page_read_system_page | buffer_page_io | disabled |
| buffer_page_read_trx_system | buffer_page_io | disabled |
| buffer_page_read_undo_log | buffer_page_io | disabled |
| buffer_page_read_xdes | buffer_page_io | disabled |
| buffer_page_read_zblob | buffer_page_io | disabled |
| buffer_page_read_zblob2 | buffer_page_io | disabled |
| buffer_page_written_blob | buffer_page_io | disabled |
| buffer_page_written_fsp_hdr | buffer_page_io | disabled |
| buffer_page_written_ibuf_bitmap | buffer_page_io | disabled |
| buffer_page_written_ibuf_free_list | buffer_page_io | disabled |
| buffer_page_written_index_ibuf_leaf | buffer_page_io | disabled |
| buffer_page_written_index_ibuf_non_leaf | buffer_page_io | disabled |
| buffer_page_written_index_inode | buffer_page_io | disabled |
| buffer_page_written_index_leaf | buffer_page_io | disabled |
| buffer_page_written_index_non_leaf | buffer_page_io | disabled |
| buffer_page_written_other | buffer_page_io | disabled |
| buffer_page_written_system_page | buffer_page_io | disabled |
| buffer_page_written_trx_system | buffer_page_io | disabled |
| buffer_page_written_undo_log | buffer_page_io | disabled |
| buffer_page_written_xdes | buffer_page_io | disabled |
| buffer_page_written_zblob | buffer_page_io | disabled |
| buffer_page_written_zblob2 | buffer_page_io | disabled |
| buffer_pool_bytes_data | buffer | enabled |
| buffer_pool_bytes_dirty | buffer | enabled |
| buffer_pool_pages_data | buffer | enabled |
| buffer_pool_pages_dirty | buffer | enabled |
| buffer_pool_pages_free | buffer | enabled |
| buffer_pool_pages_misc | buffer | enabled |
| buffer_pool_pages_total | buffer | enabled |
| buffer_pool_reads | buffer | enabled |
| buffer_pool_read_ahead | buffer | enabled |
| buffer_pool_read_ahead_evicted | buffer | enabled |
| buffer_pool_read_requests | buffer | enabled |
| buffer_pool_size | server | enabled |
| buffer_pool_wait_free | buffer | enabled |
| buffer_pool_write_requests | buffer | enabled |
| compression_pad_decrements | compression | disabled |
| compression_pad_increments | compression | disabled |
| compress_pages_compressed | compression | disabled |
| compress_pages_decompressed | compression | disabled |
| ddl_background_drop_indexes | ddl | disabled |
| ddl_background_drop_tables | ddl | disabled |
| ddl_log_file_alter_table | ddl | disabled |
| ddl_online_create_index | ddl | disabled |
| ddl_pending_alter_table | ddl | disabled |
| ddl_sort_file_alter_table | ddl | disabled |
| dml_deletes | dml | enabled |
| dml_inserts | dml | enabled |
| dml_reads | dml | disabled |
| dml_updates | dml | enabled |
| file_num_open_files | file_system | enabled |
| ibuf_merges | change_buffer | enabled |
| ibuf_merges_delete | change_buffer | enabled |
| ibuf_merges_delete_mark | change_buffer | enabled |
| ibuf_merges_discard_delete | change_buffer | enabled |
| ibuf_merges_discard_delete_mark | change_buffer | enabled |
| ibuf_merges_discard_insert | change_buffer | enabled |
| ibuf_merges_insert | change_buffer | enabled |
| ibuf_size | change_buffer | enabled |
| icp_attempts | icp | disabled |
| icp_match | icp | disabled |
| icp_no_match | icp | disabled |
| icp_out_of_range | icp | disabled |
| index_page_discards | index | disabled |
| index_page_merge_attempts | index | disabled |
| index_page_merge_successful | index | disabled |
| index_page_reorg_attempts | index | disabled |
| index_page_reorg_successful | index | disabled |
| index_page_splits | index | disabled |
| innodb_activity_count | server | enabled |
| innodb_background_drop_table_usec | server | disabled |
| innodb_checkpoint_usec | server | disabled |
| innodb_dblwr_pages_written | server | enabled |
| innodb_dblwr_writes | server | enabled |
| innodb_dict_lru_count | server | disabled |
| innodb_dict_lru_usec | server | disabled |
| innodb_ibuf_merge_usec | server | disabled |
| innodb_log_flush_usec | server | disabled |
| innodb_master_active_loops | server | disabled |
| innodb_master_idle_loops | server | disabled |
| innodb_master_purge_usec | server | disabled |
| innodb_master_thread_sleeps | server | disabled |
| innodb_mem_validate_usec | server | disabled |
| innodb_page_size | server | enabled |
| innodb_rwlock_sx_os_waits | server | enabled |
| innodb_rwlock_sx_spin_rounds | server | enabled |
| innodb_rwlock_sx_spin_waits | server | enabled |
| innodb_rwlock_s_os_waits | server | enabled |
| innodb_rwlock_s_spin_rounds | server | enabled |
| innodb_rwlock_s_spin_waits | server | enabled |
| innodb_rwlock_x_os_waits | server | enabled |
| innodb_rwlock_x_spin_rounds | server | enabled |
| innodb_rwlock_x_spin_waits | server | enabled |
| lock_deadlocks | lock | enabled |
| lock_rec_locks | lock | disabled |
| lock_rec_lock_created | lock | disabled |
| lock_rec_lock_removed | lock | disabled |
| lock_rec_lock_requests | lock | disabled |
| lock_rec_lock_waits | lock | disabled |
| lock_row_lock_current_waits | lock | enabled |
| lock_row_lock_time | lock | enabled |
| lock_row_lock_time_avg | lock | enabled |
| lock_row_lock_time_max | lock | enabled |
| lock_row_lock_waits | lock | enabled |
| lock_table_locks | lock | disabled |
| lock_table_lock_created | lock | disabled |
| lock_table_lock_removed | lock | disabled |
| lock_table_lock_waits | lock | disabled |
| lock_timeouts | lock | enabled |
| log_checkpoints | recovery | disabled |
| log_lsn_buf_pool_oldest | recovery | disabled |
| log_lsn_checkpoint_age | recovery | disabled |
| log_lsn_current | recovery | disabled |
| log_lsn_last_checkpoint | recovery | disabled |
| log_lsn_last_flush | recovery | disabled |
| log_max_modified_age_async | recovery | disabled |
| log_max_modified_age_sync | recovery | disabled |
| log_num_log_io | recovery | disabled |
| log_padded | recovery | enabled |
| log_pending_checkpoint_writes | recovery | disabled |
| log_pending_log_flushes | recovery | disabled |
| log_waits | recovery | enabled |
| log_writes | recovery | enabled |
| log_write_requests | recovery | enabled |
| metadata_table_handles_closed | metadata | disabled |
| metadata_table_handles_opened | metadata | disabled |
| metadata_table_reference_count | metadata | disabled |
| os_data_fsyncs | os | enabled |
| os_data_reads | os | enabled |
| os_data_writes | os | enabled |
| os_log_bytes_written | os | enabled |
| os_log_fsyncs | os | enabled |
| os_log_pending_fsyncs | os | enabled |
| os_log_pending_writes | os | enabled |
| os_pending_reads | os | disabled |
| os_pending_writes | os | disabled |
| purge_del_mark_records | purge | disabled |
| purge_dml_delay_usec | purge | disabled |
| purge_invoked | purge | disabled |
| purge_resume_count | purge | disabled |
| purge_stop_count | purge | disabled |
| purge_undo_log_pages | purge | disabled |
| purge_upd_exist_or_extern_records | purge | disabled |
| trx_active_transactions | transaction | disabled |
| trx_commits_insert_update | transaction | disabled |
| trx_nl_ro_commits | transaction | disabled |
| trx_rollbacks | transaction | disabled |
| trx_rollbacks_savepoint | transaction | disabled |
| trx_rollback_active | transaction | disabled |
| trx_ro_commits | transaction | disabled |
| trx_rseg_current_size | transaction | disabled |
| trx_rseg_history_len | transaction | enabled |
| trx_rw_commits | transaction | disabled |
| trx_undo_slots_cached | transaction | disabled |
| trx_undo_slots_used | transaction | disabled |
+------------------------------------------+---------------------+----------+
235 rows in set (0.01 sec)
Each counter is associated with a particular module. Module names
can be used to enable, disable, or reset all counters for a
particular subsystem. For example, use
module_dml
to enable all counters associated
with the dml
subsystem.
mysql>SET GLOBAL innodb_monitor_enable = module_dml;
mysql>SELECT name, subsystem, status FROM INFORMATION_SCHEMA.INNODB_METRICS
WHERE subsystem ='dml';
+-------------+-----------+---------+ | name | subsystem | status | +-------------+-----------+---------+ | dml_reads | dml | enabled | | dml_inserts | dml | enabled | | dml_deletes | dml | enabled | | dml_updates | dml | enabled | +-------------+-----------+---------+
Module names can be used with
innodb_monitor_enable
and related
variables.
Module names and corresponding SUBSYSTEM
names
are listed below.
module_adaptive_hash
(subsystem =
adaptive_hash_index
)
module_buffer
(subsystem =
buffer
)
module_buffer_page
(subsystem =
buffer_page_io
)
module_compress
(subsystem =
compression
)
module_ddl
(subsystem =
ddl
)
module_dml
(subsystem =
dml
)
module_file
(subsystem =
file_system
)
module_ibuf_system
(subsystem =
change_buffer
)
module_icp
(subsystem =
icp
)
module_index
(subsystem =
index
)
module_innodb
(subsystem =
innodb
)
module_lock
(subsystem =
lock
)
module_log
(subsystem =
recovery
)
module_metadata
(subsystem =
metadata
)
module_os
(subsystem =
os
)
module_purge
(subsystem =
purge
)
module_trx
(subsystem =
transaction
)
module_undo
(subsystem =
undo
)
Example 15.11 Working with INNODB_METRICS Table Counters
This example demonstrates enabling, disabling, and resetting a
counter, and querying counter data in the
INNODB_METRICS
table.
Create a simple InnoDB
table:
mysql>USE test;
Database changed mysql>CREATE TABLE t1 (c1 INT) ENGINE=INNODB;
Query OK, 0 rows affected (0.02 sec)
Enable the dml_inserts
counter.
mysql> SET GLOBAL innodb_monitor_enable = dml_inserts;
Query OK, 0 rows affected (0.01 sec)
A description of the dml_inserts
counter
can be found in the COMMENT
column of the
INNODB_METRICS
table:
mysql> SELECT NAME, COMMENT FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME="dml_inserts";
+-------------+-------------------------+
| NAME | COMMENT |
+-------------+-------------------------+
| dml_inserts | Number of rows inserted |
+-------------+-------------------------+
Query the INNODB_METRICS
table
for the dml_inserts
counter data. Because
no DML operations have been performed, the counter values
are zero or NULL. The TIME_ENABLED
and
TIME_ELAPSED
values indicate when the
counter was last enabled and how many seconds have elapsed
since that time.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME="dml_inserts" \G
*************************** 1. row ***************************
NAME: dml_inserts
SUBSYSTEM: dml
COUNT: 0
MAX_COUNT: 0
MIN_COUNT: NULL
AVG_COUNT: 0
COUNT_RESET: 0
MAX_COUNT_RESET: 0
MIN_COUNT_RESET: NULL
AVG_COUNT_RESET: NULL
TIME_ENABLED: 2014-12-04 14:18:28
TIME_DISABLED: NULL
TIME_ELAPSED: 28
TIME_RESET: NULL
STATUS: enabled
TYPE: status_counter
COMMENT: Number of rows inserted
Insert three rows of data into the table.
mysql>INSERT INTO t1 values(1);
Query OK, 1 row affected (0.00 sec) mysql>INSERT INTO t1 values(2);
Query OK, 1 row affected (0.00 sec) mysql>INSERT INTO t1 values(3);
Query OK, 1 row affected (0.00 sec)
Query the INNODB_METRICS
table
again for the dml_inserts
counter data. A
number of counter values have now incremented including
COUNT
, MAX_COUNT
,
AVG_COUNT
, and
COUNT_RESET
. Refer to the
INNODB_METRICS
table definition
for descriptions of these values.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME="dml_inserts"\G
*************************** 1. row ***************************
NAME: dml_inserts
SUBSYSTEM: dml
COUNT: 3
MAX_COUNT: 3
MIN_COUNT: NULL
AVG_COUNT: 0.046153846153846156
COUNT_RESET: 3
MAX_COUNT_RESET: 3
MIN_COUNT_RESET: NULL
AVG_COUNT_RESET: NULL
TIME_ENABLED: 2014-12-04 14:18:28
TIME_DISABLED: NULL
TIME_ELAPSED: 65
TIME_RESET: NULL
STATUS: enabled
TYPE: status_counter
COMMENT: Number of rows inserted
Reset the dml_inserts
counter and query
the INNODB_METRICS
table again
for the dml_inserts
counter data. The
%_RESET
values that were reported
previously, such as COUNT_RESET
and
MAX_RESET
, are set back to zero. Values
such as COUNT
,
MAX_COUNT
, and
AVG_COUNT
, which cumulatively collect
data from the time the counter is enabled, are unaffected by
the reset.
mysql>SET GLOBAL innodb_monitor_reset = dml_inserts;
Query OK, 0 rows affected (0.00 sec) mysql>SELECT * FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME="dml_inserts"\G
*************************** 1. row *************************** NAME: dml_inserts SUBSYSTEM: dml COUNT: 3 MAX_COUNT: 3 MIN_COUNT: NULL AVG_COUNT: 0.03529411764705882 COUNT_RESET: 0 MAX_COUNT_RESET: 0 MIN_COUNT_RESET: NULL AVG_COUNT_RESET: 0 TIME_ENABLED: 2014-12-04 14:18:28 TIME_DISABLED: NULL TIME_ELAPSED: 85 TIME_RESET: 2014-12-04 14:19:44 STATUS: enabled TYPE: status_counter COMMENT: Number of rows inserted
To reset all counter values, you must first disable the
counter. Disabling the counter sets the
STATUS
value to
disabled
.
mysql>SET GLOBAL innodb_monitor_disable = dml_inserts;
Query OK, 0 rows affected (0.00 sec) mysql>SELECT * FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME="dml_inserts"\G
*************************** 1. row *************************** NAME: dml_inserts SUBSYSTEM: dml COUNT: 3 MAX_COUNT: 3 MIN_COUNT: NULL AVG_COUNT: 0.030612244897959183 COUNT_RESET: 0 MAX_COUNT_RESET: 0 MIN_COUNT_RESET: NULL AVG_COUNT_RESET: 0 TIME_ENABLED: 2014-12-04 14:18:28 TIME_DISABLED: 2014-12-04 14:20:06 TIME_ELAPSED: 98 TIME_RESET: NULL STATUS: disabled TYPE: status_counter COMMENT: Number of rows inserted
Wildcard match is supported for counter and module names.
For example, instead of specifying the full
dml_inserts
counter name, you can
specify dml_i%
. You can also enable,
disable, or reset multiple counters or modules at once
using a wildcard match. For example, specify
dml_%
to enable, disable, or reset all
counters that begin with dml_
.
After the counter is disabled, you can reset all counter
values using the
innodb_monitor_reset_all
option. All values are set to zero or NULL.
mysql>SET GLOBAL innodb_monitor_reset_all = dml_inserts;
Query OK, 0 rows affected (0.00 sec) mysql>SELECT * FROM INFORMATION_SCHEMA.INNODB_METRICS WHERE NAME="dml_inserts"\G
*************************** 1. row *************************** NAME: dml_inserts SUBSYSTEM: dml COUNT: 0 MAX_COUNT: NULL MIN_COUNT: NULL AVG_COUNT: NULL COUNT_RESET: 0 MAX_COUNT_RESET: NULL MIN_COUNT_RESET: NULL AVG_COUNT_RESET: NULL TIME_ENABLED: NULL TIME_DISABLED: NULL TIME_ELAPSED: NULL TIME_RESET: NULL STATUS: disabled TYPE: status_counter COMMENT: Number of rows inserted
INNODB_TEMP_TABLE_INFO
provides
information about user-created InnoDB
temporary
tables that are active in the InnoDB
instance.
It does not provide information about internal
InnoDB
temporary tables used by the optimizer.
mysql> SHOW TABLES FROM INFORMATION_SCHEMA LIKE 'INNODB_TEMP%';
+---------------------------------------------+
| Tables_in_INFORMATION_SCHEMA (INNODB_TEMP%) |
+---------------------------------------------+
| INNODB_TEMP_TABLE_INFO |
+---------------------------------------------+
For the table definition, see Section 25.39.28, “The INFORMATION_SCHEMA INNODB_TEMP_TABLE_INFO Table”.
Example 15.12 INNODB_TEMP_TABLE_INFO
This example demonstrates characteristics of the
INNODB_TEMP_TABLE_INFO
table.
Create a simple InnoDB
temporary table:
mysql> CREATE TEMPORARY TABLE t1 (c1 INT PRIMARY KEY) ENGINE=INNODB;
Query INNODB_TEMP_TABLE_INFO
to
view the temporary table metadata.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_TEMP_TABLE_INFO\G
*************************** 1. row ***************************
TABLE_ID: 194
NAME: #sql7a79_1_0
N_COLS: 4
SPACE: 182
The TABLE_ID
is a unique identifier for
the temporary table. The NAME
column
displays the system-generated name for the temporary table,
which is prefixed with “#sql”. The number of
columns (N_COLS
) is 4 rather than 1
because InnoDB
always creates three
hidden table columns (DB_ROW_ID
,
DB_TRX_ID
, and
DB_ROLL_PTR
).
Restart MySQL and query
INNODB_TEMP_TABLE_INFO
.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_TEMP_TABLE_INFO\G
An empty set is returned because
INNODB_TEMP_TABLE_INFO
and its
data are not persisted to disk when the server is shut down.
Create a new temporary table.
mysql> CREATE TEMPORARY TABLE t1 (c1 INT PRIMARY KEY) ENGINE=INNODB;
Query INNODB_TEMP_TABLE_INFO
to
view the temporary table metadata.
mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_TEMP_TABLE_INFO\G
*************************** 1. row ***************************
TABLE_ID: 196
NAME: #sql7b0e_1_0
N_COLS: 4
SPACE: 184
The SPACE
ID may be different because it
is dynamically generated when the server is started.
The INFORMATION_SCHEMA.FILES
table
provides metadata about all InnoDB
tablespace
types including file-per-table
tablespaces,
general
tablespaces, the
system tablespace,
temporary table
tablespaces, and undo
tablespaces (if present).
This section provides InnoDB
-specific usage
examples. For more information about data provided by the
INFORMATION_SCHEMA.FILES
table, see
Section 25.11, “The INFORMATION_SCHEMA FILES Table”.
The INNODB_TABLESPACES
and
INNODB_DATAFILES
tables also
provide metadata about InnoDB
tablespaces,
but data is limited to file-per-table, general, and undo
tablespaces.
This query retrieves metadata about the InnoDB
system tablespace from fields of the
INFORMATION_SCHEMA.FILES
table that
are pertinent to InnoDB
tablespaces.
INFORMATION_SCHEMA.FILES
fields that
are not relevant to InnoDB
always return NULL,
and are excluded from the query.
mysql>SELECT FILE_ID, FILE_NAME, FILE_TYPE, TABLESPACE_NAME, FREE_EXTENTS,
TOTAL_EXTENTS, EXTENT_SIZE, INITIAL_SIZE, MAXIMUM_SIZE, AUTOEXTEND_SIZE, DATA_FREE, STATUS ENGINE
FROM INFORMATION_SCHEMA.FILES WHERE TABLESPACE_NAME LIKE 'innodb_system' \G
*************************** 1. row *************************** FILE_ID: 0 FILE_NAME: ./ibdata1 FILE_TYPE: TABLESPACE TABLESPACE_NAME: innodb_system FREE_EXTENTS: 0 TOTAL_EXTENTS: 12 EXTENT_SIZE: 1048576 INITIAL_SIZE: 12582912 MAXIMUM_SIZE: NULL AUTOEXTEND_SIZE: 67108864 DATA_FREE: 4194304 ENGINE: NORMAL
This query retrieves the FILE_ID
(equivalent to
the space ID) and the FILE_NAME
(which includes
path information) for InnoDB
file-per-table and
general tablespaces. File-per-table and general tablespaces have a
.ibd
file extension.
mysql>SELECT FILE_ID, FILE_NAME FROM INFORMATION_SCHEMA.FILES
WHERE FILE_NAME LIKE '%.ibd%' ORDER BY FILE_ID;
+---------+---------------------------------------+ | FILE_ID | FILE_NAME | +---------+---------------------------------------+ | 2 | ./mysql/plugin.ibd | | 3 | ./mysql/servers.ibd | | 4 | ./mysql/help_topic.ibd | | 5 | ./mysql/help_category.ibd | | 6 | ./mysql/help_relation.ibd | | 7 | ./mysql/help_keyword.ibd | | 8 | ./mysql/time_zone_name.ibd | | 9 | ./mysql/time_zone.ibd | | 10 | ./mysql/time_zone_transition.ibd | | 11 | ./mysql/time_zone_transition_type.ibd | | 12 | ./mysql/time_zone_leap_second.ibd | | 13 | ./mysql/innodb_table_stats.ibd | | 14 | ./mysql/innodb_index_stats.ibd | | 15 | ./mysql/slave_relay_log_info.ibd | | 16 | ./mysql/slave_master_info.ibd | | 17 | ./mysql/slave_worker_info.ibd | | 18 | ./mysql/gtid_executed.ibd | | 19 | ./mysql/server_cost.ibd | | 20 | ./mysql/engine_cost.ibd | | 21 | ./sys/sys_config.ibd | | 23 | ./test/t1.ibd | | 26 | /home/user/test/test/t2.ibd | +---------+---------------------------------------+
This query retrieves the FILE_ID
and
FILE_NAME
for the InnoDB
global temporary tablespace. Global temporary tablespace file
names are prefixed by ibtmp
.
mysql>SELECT FILE_ID, FILE_NAME FROM INFORMATION_SCHEMA.FILES
WHERE FILE_NAME LIKE '%ibtmp%';
+---------+-----------+ | FILE_ID | FILE_NAME | +---------+-----------+ | 22 | ./ibtmp1 | +---------+-----------+
Similarly, InnoDB
undo tablespace file names
are prefixed by undo
. The following query
returns the FILE_ID
and
FILE_NAME
for InnoDB
undo
tablespaces.
mysql>SELECT FILE_ID, FILE_NAME FROM INFORMATION_SCHEMA.FILES
WHERE FILE_NAME LIKE '%undo%';
This section provides a brief introduction to
InnoDB
integration with Performance Schema. For
comprehensive Performance Schema documentation, see
Chapter 26, MySQL Performance Schema.
You can profile certain internal InnoDB
operations using the MySQL
Performance Schema
feature. This type of tuning is primarily for expert users
who evaluate optimization strategies to overcome performance
bottlenecks. DBAs can also use this feature for capacity planning,
to see whether their typical workload encounters any performance
bottlenecks with a particular combination of CPU, RAM, and disk
storage; and if so, to judge whether performance can be improved by
increasing the capacity of some part of the system.
To use this feature to examine InnoDB
performance:
You must be generally familiar with how to use the
Performance Schema
feature. For example, you should know how enable
instruments and consumers, and how to query
performance_schema
tables to retrieve data.
For an introductory overview, see
Section 26.1, “Performance Schema Quick Start”.
You should be familiar with Performance Schema instruments that
are available for InnoDB
. To view
InnoDB
-related instruments, you can query the
setup_instruments
table for
instrument names that contain 'innodb
'.
mysql>SELECT *
FROM performance_schema.setup_instruments
WHERE NAME LIKE '%innodb%';
+-------------------------------------------------------+---------+-------+ | NAME | ENABLED | TIMED | +-------------------------------------------------------+---------+-------+ | wait/synch/mutex/innodb/commit_cond_mutex | NO | NO | | wait/synch/mutex/innodb/innobase_share_mutex | NO | NO | | wait/synch/mutex/innodb/autoinc_mutex | NO | NO | | wait/synch/mutex/innodb/buf_pool_mutex | NO | NO | | wait/synch/mutex/innodb/buf_pool_zip_mutex | NO | NO | | wait/synch/mutex/innodb/cache_last_read_mutex | NO | NO | | wait/synch/mutex/innodb/dict_foreign_err_mutex | NO | NO | | wait/synch/mutex/innodb/dict_sys_mutex | NO | NO | | wait/synch/mutex/innodb/recalc_pool_mutex | NO | NO | ... | wait/io/file/innodb/innodb_data_file | YES | YES | | wait/io/file/innodb/innodb_log_file | YES | YES | | wait/io/file/innodb/innodb_temp_file | YES | YES | | stage/innodb/alter table (end) | YES | YES | | stage/innodb/alter table (flush) | YES | YES | | stage/innodb/alter table (insert) | YES | YES | | stage/innodb/alter table (log apply index) | YES | YES | | stage/innodb/alter table (log apply table) | YES | YES | | stage/innodb/alter table (merge sort) | YES | YES | | stage/innodb/alter table (read PK and internal sort) | YES | YES | | stage/innodb/buffer pool load | YES | YES | | memory/innodb/buf_buf_pool | NO | NO | | memory/innodb/dict_stats_bg_recalc_pool_t | NO | NO | | memory/innodb/dict_stats_index_map_t | NO | NO | | memory/innodb/dict_stats_n_diff_on_level | NO | NO | | memory/innodb/other | NO | NO | | memory/innodb/row_log_buf | NO | NO | | memory/innodb/row_merge_sort | NO | NO | | memory/innodb/std | NO | NO | | memory/innodb/sync_debug_latches | NO | NO | | memory/innodb/trx_sys_t::rw_trx_ids | NO | NO | ... +-------------------------------------------------------+---------+-------+ 155 rows in set (0.00 sec)
For additional information about the instrumented
InnoDB
objects, you can query Performance
Schema
instances
tables, which provide additional information about
instrumented objects. Instance tables relevant to
InnoDB
include:
The mutex_instances
table
The rwlock_instances
table
The cond_instances
table
The file_instances
table
Mutexes and RW-locks related to the InnoDB
buffer pool are not included in this coverage; the same
applies to the output of the SHOW ENGINE INNODB
MUTEX
command.
For example, to view information about instrumented
InnoDB
file objects seen by the Performance
Schema when executing file I/O instrumentation, you might issue
the following query:
mysql>SELECT *
FROM performance_schema.file_instances
WHERE EVENT_NAME LIKE '%innodb%'\G
*************************** 1. row *************************** FILE_NAME: /path/to/mysql-8.0/data/ibdata1 EVENT_NAME: wait/io/file/innodb/innodb_data_file OPEN_COUNT: 3 *************************** 2. row *************************** FILE_NAME: /path/to/mysql-8.0/data/ib_logfile0 EVENT_NAME: wait/io/file/innodb/innodb_log_file OPEN_COUNT: 2 *************************** 3. row *************************** FILE_NAME: /path/to/mysql-8.0/data/ib_logfile1 EVENT_NAME: wait/io/file/innodb/innodb_log_file OPEN_COUNT: 2 *************************** 4. row *************************** FILE_NAME: /path/to/mysql-8.0/data/mysql/engine_cost.ibd EVENT_NAME: wait/io/file/innodb/innodb_data_file OPEN_COUNT: 3 ...
You should be familiar with
performance_schema
tables that store
InnoDB
event data. Tables relevant to
InnoDB
-related events include:
The Wait Event tables, which store wait events.
The Summary tables, which provide aggregated information for terminated events over time. Summary tables include file I/O summary tables, which aggregate information about I/O operations.
Stage
Event tables, which store event data for
InnoDB
ALTER
TABLE
and buffer pool load operations. For more
information, see
Section 15.15.1, “Monitoring ALTER TABLE Progress for InnoDB Tables Using Performance
Schema”,
and
Monitoring Buffer Pool Load Progress Using Performance Schema.
If you are only interested in InnoDB
-related
objects, use the clause WHERE EVENT_NAME LIKE
'%innodb%'
or WHERE NAME LIKE
'%innodb%'
(as required) when querying these tables.
You can monitor ALTER TABLE
progress for InnoDB
tables using
Performance Schema.
There are seven stage events that represent different phases of
ALTER TABLE
. Each stage event
reports a running total of WORK_COMPLETED
and
WORK_ESTIMATED
for the overall
ALTER TABLE
operation as it
progresses through its different phases.
WORK_ESTIMATED
is calculated using a formula
that takes into account all of the work that
ALTER TABLE
performs, and may be
revised during ALTER TABLE
processing. WORK_COMPLETED
and
WORK_ESTIMATED
values are an abstract
representation of all of the work performed by
ALTER TABLE
.
In order of occurrence, ALTER TABLE
stage events include:
stage/innodb/alter table (read PK and internal
sort)
: This stage is active when
ALTER TABLE
is in the
reading-primary-key phase. It starts with
WORK_COMPLETED=0
and
WORK_ESTIMATED
set to the estimated number
of pages in the primary key. When the stage is completed,
WORK_ESTIMATED
is updated to the actual
number of pages in the primary key.
stage/innodb/alter table (merge sort)
: This
stage is repeated for each index added by the
ALTER TABLE
operation.
stage/innodb/alter table (insert)
: This
stage is repeated for each index added by the
ALTER TABLE
operation.
stage/innodb/alter table (log apply index)
:
This stage includes the application of DML log generated while
ALTER TABLE
was running.
stage/innodb/alter table (flush)
: Before
this stage begins, WORK_ESTIMATED
is
updated with a more accurate estimate, based on the length of
the flush list.
stage/innodb/alter table (log apply table)
:
This stage includes the application of concurrent DML log
generated while ALTER TABLE
was
running. The duration of this phase depends on the extent of
table changes. This phase is instant if no concurrent DML was
run on the table.
stage/innodb/alter table (end)
: Includes
any remaining work that appeared after the flush phase, such
as reapplying DML that was executed on the table while
ALTER TABLE
was running.
InnoDB
ALTER
TABLE
stage events do not currently account for the
addition of spatial indexes.
The following example demonstrates how to enable the
stage/innodb/alter table%
stage event
instruments and related consumer tables to monitor
ALTER TABLE
progress. For
information about Performance Schema stage event instruments and
related consumers, see
Section 26.12.5, “Performance Schema Stage Event Tables”.
Enable the stage/innodb/alter%
instruments:
mysql>UPDATE performance_schema.setup_instruments
SET ENABLED = 'YES'
WHERE NAME LIKE 'stage/innodb/alter%';
Query OK, 7 rows affected (0.00 sec) Rows matched: 7 Changed: 7 Warnings: 0
Enable the stage event consumer tables, which include
events_stages_current
,
events_stages_history
, and
events_stages_history_long
.
mysql>UPDATE performance_schema.setup_consumers
SET ENABLED = 'YES'
WHERE NAME LIKE '%stages%';
Query OK, 3 rows affected (0.00 sec) Rows matched: 3 Changed: 3 Warnings: 0
Run an ALTER TABLE
operation.
In this example, a middle_name
column is
added to the employees table of the employees sample database.
mysql> ALTER TABLE employees.employees ADD COLUMN middle_name varchar(14) AFTER first_name;
Query OK, 0 rows affected (9.27 sec)
Records: 0 Duplicates: 0 Warnings: 0
Check the progress of the ALTER
TABLE
operation by querying the Performance Schema
events_stages_current
table. The
stage event shown differs depending on which
ALTER TABLE
phase is currently
in progress. The WORK_COMPLETED
column
shows the work completed. The
WORK_ESTIMATED
column provides an estimate
of the remaining work.
mysql>SELECT EVENT_NAME, WORK_COMPLETED, WORK_ESTIMATED
FROM performance_schema.events_stages_current;
+------------------------------------------------------+----------------+----------------+ | EVENT_NAME | WORK_COMPLETED | WORK_ESTIMATED | +------------------------------------------------------+----------------+----------------+ | stage/innodb/alter table (read PK and internal sort) | 280 | 1245 | +------------------------------------------------------+----------------+----------------+ 1 row in set (0.01 sec)
The events_stages_current
table
returns an empty set if the ALTER
TABLE
operation has completed. In this case, you can
check the events_stages_history
table to view event data for the completed operation. For
example:
mysql>SELECT EVENT_NAME, WORK_COMPLETED, WORK_ESTIMATED
FROM performance_schema.events_stages_history;
+------------------------------------------------------+----------------+----------------+ | EVENT_NAME | WORK_COMPLETED | WORK_ESTIMATED | +------------------------------------------------------+----------------+----------------+ | stage/innodb/alter table (read PK and internal sort) | 886 | 1213 | | stage/innodb/alter table (flush) | 1213 | 1213 | | stage/innodb/alter table (log apply table) | 1597 | 1597 | | stage/innodb/alter table (end) | 1597 | 1597 | | stage/innodb/alter table (log apply table) | 1981 | 1981 | +------------------------------------------------------+----------------+----------------+ 5 rows in set (0.00 sec)
As shown above, the WORK_ESTIMATED
value
was revised during ALTER TABLE
processing.
The estimated work after completion of the initial stage is
1213. When ALTER TABLE
processing
completed, WORK_ESTIMATED
was set to the
actual value, which is 1981.
A mutex is a synchronization mechanism used in the code to enforce that only one thread at a given time can have access to a common resource. When two or more threads executing in the server need to access the same resource, the threads compete against each other. The first thread to obtain a lock on the mutex causes the other threads to wait until the lock is released.
For InnoDB
mutexes that are instrumented, mutex
waits can be monitored using
Performance Schema. Wait
event data collected in Performance Schema tables can help
identify mutexes with the most waits or the greatest total wait
time, for example.
The following example demonstrates how to enable
InnoDB
mutex wait instruments, how to enable
associated consumers, and how to query wait event data.
To view available InnoDB
mutex wait
instruments, query the Performance Schema
setup_instruments
table. All
InnoDB
mutex wait instruments are disabled
by default.
mysql>SELECT *
FROM performance_schema.setup_instruments
WHERE NAME LIKE '%wait/synch/mutex/innodb%';
+---------------------------------------------------------+---------+-------+ | NAME | ENABLED | TIMED | +---------------------------------------------------------+---------+-------+ | wait/synch/mutex/innodb/commit_cond_mutex | NO | NO | | wait/synch/mutex/innodb/innobase_share_mutex | NO | NO | | wait/synch/mutex/innodb/autoinc_mutex | NO | NO | | wait/synch/mutex/innodb/autoinc_persisted_mutex | NO | NO | | wait/synch/mutex/innodb/buf_pool_flush_state_mutex | NO | NO | | wait/synch/mutex/innodb/buf_pool_LRU_list_mutex | NO | NO | | wait/synch/mutex/innodb/buf_pool_free_list_mutex | NO | NO | | wait/synch/mutex/innodb/buf_pool_zip_free_mutex | NO | NO | | wait/synch/mutex/innodb/buf_pool_zip_hash_mutex | NO | NO | | wait/synch/mutex/innodb/buf_pool_zip_mutex | NO | NO | | wait/synch/mutex/innodb/cache_last_read_mutex | NO | NO | | wait/synch/mutex/innodb/dict_foreign_err_mutex | NO | NO | | wait/synch/mutex/innodb/dict_persist_dirty_tables_mutex | NO | NO | | wait/synch/mutex/innodb/dict_sys_mutex | NO | NO | | wait/synch/mutex/innodb/recalc_pool_mutex | NO | NO | | wait/synch/mutex/innodb/fil_system_mutex | NO | NO | | wait/synch/mutex/innodb/flush_list_mutex | NO | NO | | wait/synch/mutex/innodb/fts_bg_threads_mutex | NO | NO | | wait/synch/mutex/innodb/fts_delete_mutex | NO | NO | | wait/synch/mutex/innodb/fts_optimize_mutex | NO | NO | | wait/synch/mutex/innodb/fts_doc_id_mutex | NO | NO | | wait/synch/mutex/innodb/log_flush_order_mutex | NO | NO | | wait/synch/mutex/innodb/hash_table_mutex | NO | NO | | wait/synch/mutex/innodb/ibuf_bitmap_mutex | NO | NO | | wait/synch/mutex/innodb/ibuf_mutex | NO | NO | | wait/synch/mutex/innodb/ibuf_pessimistic_insert_mutex | NO | NO | | wait/synch/mutex/innodb/log_sys_mutex | NO | NO | | wait/synch/mutex/innodb/log_sys_write_mutex | NO | NO | | wait/synch/mutex/innodb/mutex_list_mutex | NO | NO | | wait/synch/mutex/innodb/page_zip_stat_per_index_mutex | NO | NO | | wait/synch/mutex/innodb/purge_sys_pq_mutex | NO | NO | | wait/synch/mutex/innodb/recv_sys_mutex | NO | NO | | wait/synch/mutex/innodb/recv_writer_mutex | NO | NO | | wait/synch/mutex/innodb/redo_rseg_mutex | NO | NO | | wait/synch/mutex/innodb/noredo_rseg_mutex | NO | NO | | wait/synch/mutex/innodb/rw_lock_list_mutex | NO | NO | | wait/synch/mutex/innodb/rw_lock_mutex | NO | NO | | wait/synch/mutex/innodb/srv_dict_tmpfile_mutex | NO | NO | | wait/synch/mutex/innodb/srv_innodb_monitor_mutex | NO | NO | | wait/synch/mutex/innodb/srv_misc_tmpfile_mutex | NO | NO | | wait/synch/mutex/innodb/srv_monitor_file_mutex | NO | NO | | wait/synch/mutex/innodb/buf_dblwr_mutex | NO | NO | | wait/synch/mutex/innodb/trx_undo_mutex | NO | NO | | wait/synch/mutex/innodb/trx_pool_mutex | NO | NO | | wait/synch/mutex/innodb/trx_pool_manager_mutex | NO | NO | | wait/synch/mutex/innodb/srv_sys_mutex | NO | NO | | wait/synch/mutex/innodb/lock_mutex | NO | NO | | wait/synch/mutex/innodb/lock_wait_mutex | NO | NO | | wait/synch/mutex/innodb/trx_mutex | NO | NO | | wait/synch/mutex/innodb/srv_threads_mutex | NO | NO | | wait/synch/mutex/innodb/rtr_active_mutex | NO | NO | | wait/synch/mutex/innodb/rtr_match_mutex | NO | NO | | wait/synch/mutex/innodb/rtr_path_mutex | NO | NO | | wait/synch/mutex/innodb/rtr_ssn_mutex | NO | NO | | wait/synch/mutex/innodb/trx_sys_mutex | NO | NO | | wait/synch/mutex/innodb/zip_pad_mutex | NO | NO | | wait/synch/mutex/innodb/master_key_id_mutex | NO | NO | +---------------------------------------------------------+---------+-------+
Some InnoDB
mutex instances are created at
server startup and are only instrumented if the associated
instrument is also enabled at server startup. To ensure that
all InnoDB
mutex instances are instrumented
and enabled, add the following
performance-schema-instrument
rule to your
MySQL configuration file:
performance-schema-instrument='wait/synch/mutex/innodb/%=ON'
If you do not require wait event data for all
InnoDB
mutexes, you can disable specific
instruments by adding additional
performance-schema-instrument
rules to your
MySQL configuration file. For example, to disable
InnoDB
mutex wait event instruments related
to full-text search, add the following rule:
performance-schema-instrument='wait/synch/mutex/innodb/fts%=OFF'
Rules with a longer prefix such as
wait/synch/mutex/innodb/fts%
take
precedence over rules with shorter prefixes such as
wait/synch/mutex/innodb/%
.
After adding the
performance-schema-instrument
rules to your
configuration file, restart the server. All the
InnoDB
mutexes except for those related to
full text search are enabled. To verify, query the
setup_instruments
table. The
ENABLED
and TIMED
columns should be set to YES
for the
instruments that you enabled.
mysql>SELECT *
FROM performance_schema.setup_instruments
WHERE NAME LIKE '%wait/synch/mutex/innodb%';
+-------------------------------------------------------+---------+-------+ | NAME | ENABLED | TIMED | +-------------------------------------------------------+---------+-------+ | wait/synch/mutex/innodb/commit_cond_mutex | YES | YES | | wait/synch/mutex/innodb/innobase_share_mutex | YES | YES | | wait/synch/mutex/innodb/autoinc_mutex | YES | YES | ... | wait/synch/mutex/innodb/master_key_id_mutex | YES | YES | +-------------------------------------------------------+---------+-------+ 49 rows in set (0.00 sec)
Enable wait event consumers by updating the
setup_consumers
table. Wait event
consumers are disabled by default.
mysql>UPDATE performance_schema.setup_consumers
SET enabled = 'YES'
WHERE name like 'events_waits%';
Query OK, 3 rows affected (0.00 sec) Rows matched: 3 Changed: 3 Warnings: 0
You can verify that wait event consumers are enabled by
querying the setup_consumers
table. The events_waits_current
,
events_waits_history
, and
events_waits_history_long
consumers should be enabled.
mysql> SELECT * FROM performance_schema.setup_consumers;
+----------------------------------+---------+
| NAME | ENABLED |
+----------------------------------+---------+
| events_stages_current | NO |
| events_stages_history | NO |
| events_stages_history_long | NO |
| events_statements_current | YES |
| events_statements_history | YES |
| events_statements_history_long | NO |
| events_transactions_current | YES |
| events_transactions_history | YES |
| events_transactions_history_long | NO |
| events_waits_current | YES |
| events_waits_history | YES |
| events_waits_history_long | YES |
| global_instrumentation | YES |
| thread_instrumentation | YES |
| statements_digest | YES |
+----------------------------------+---------+
15 rows in set (0.00 sec)
Once instruments and consumers are enabled, run the workload that you want to monitor. In this example, the mysqlslap load emulation client is used to simulate a workload.
shell>./mysqlslap --auto-generate-sql --concurrency=100 --iterations=10
--number-of-queries=1000 --number-char-cols=6 --number-int-cols=6;
Query the wait event data. In this example, wait event data is
queried from the
events_waits_summary_global_by_event_name
table which aggregates data found in the
events_waits_current
,
events_waits_history
, and
events_waits_history_long
tables.
Data is summarized by event name
(EVENT_NAME
), which is the name of the
instrument that produced the event. Summarized data includes:
COUNT_STAR
The number of summarized wait events.
SUM_TIMER_WAIT
The total wait time of the summarized timed wait events.
MIN_TIMER_WAIT
The minimum wait time of the summarized timed wait events.
AVG_TIMER_WAIT
The average wait time of the summarized timed wait events.
MAX_TIMER_WAIT
The maximum wait time of the summarized timed wait events.
The following query returns the instrument name
(EVENT_NAME
), the number of wait events
(COUNT_STAR
), and the total wait time for
the events for that instrument
(SUM_TIMER_WAIT
). Because waits are timed
in picoseconds (trillionths of a second) by default, wait
times are divided by 1000000000 to show wait times in
milliseconds. Data is presented in descending order, by the
number of summarized wait events
(COUNT_STAR
). You can adjust the
ORDER BY
clause to order the data by total
wait time.
mysql>SELECT EVENT_NAME, COUNT_STAR, SUM_TIMER_WAIT/1000000000 SUM_TIMER_WAIT_MS
FROM performance_schema.events_waits_summary_global_by_event_name
WHERE SUM_TIMER_WAIT > 0 AND EVENT_NAME LIKE 'wait/synch/mutex/innodb/%'
ORDER BY COUNT_STAR DESC;
+---------------------------------------------------------+------------+-------------------+ | EVENT_NAME | COUNT_STAR | SUM_TIMER_WAIT_MS | +---------------------------------------------------------+------------+-------------------+ | wait/synch/mutex/innodb/trx_mutex | 201111 | 23.4719 | | wait/synch/mutex/innodb/fil_system_mutex | 62244 | 9.6426 | | wait/synch/mutex/innodb/redo_rseg_mutex | 48238 | 3.1135 | | wait/synch/mutex/innodb/log_sys_mutex | 46113 | 2.0434 | | wait/synch/mutex/innodb/trx_sys_mutex | 35134 | 1068.1588 | | wait/synch/mutex/innodb/lock_mutex | 34872 | 1039.2589 | | wait/synch/mutex/innodb/log_sys_write_mutex | 17805 | 1526.0490 | | wait/synch/mutex/innodb/dict_sys_mutex | 14912 | 1606.7348 | | wait/synch/mutex/innodb/trx_undo_mutex | 10634 | 1.1424 | | wait/synch/mutex/innodb/rw_lock_list_mutex | 8538 | 0.1960 | | wait/synch/mutex/innodb/buf_pool_free_list_mutex | 5961 | 0.6473 | | wait/synch/mutex/innodb/trx_pool_mutex | 4885 | 8821.7496 | | wait/synch/mutex/innodb/buf_pool_LRU_list_mutex | 4364 | 0.2077 | | wait/synch/mutex/innodb/innobase_share_mutex | 3212 | 0.2650 | | wait/synch/mutex/innodb/flush_list_mutex | 3178 | 0.2349 | | wait/synch/mutex/innodb/trx_pool_manager_mutex | 2495 | 0.1310 | | wait/synch/mutex/innodb/buf_pool_flush_state_mutex | 1318 | 0.2161 | | wait/synch/mutex/innodb/log_flush_order_mutex | 1250 | 0.0893 | | wait/synch/mutex/innodb/buf_dblwr_mutex | 951 | 0.0918 | | wait/synch/mutex/innodb/recalc_pool_mutex | 670 | 0.0942 | | wait/synch/mutex/innodb/dict_persist_dirty_tables_mutex | 345 | 0.0414 | | wait/synch/mutex/innodb/lock_wait_mutex | 303 | 0.1565 | | wait/synch/mutex/innodb/autoinc_mutex | 196 | 0.0213 | | wait/synch/mutex/innodb/autoinc_persisted_mutex | 196 | 0.0175 | | wait/synch/mutex/innodb/purge_sys_pq_mutex | 117 | 0.0308 | | wait/synch/mutex/innodb/srv_sys_mutex | 94 | 0.0077 | | wait/synch/mutex/innodb/ibuf_mutex | 22 | 0.0086 | | wait/synch/mutex/innodb/recv_sys_mutex | 12 | 0.0008 | | wait/synch/mutex/innodb/srv_innodb_monitor_mutex | 4 | 0.0009 | | wait/synch/mutex/innodb/recv_writer_mutex | 1 | 0.0005 | +---------------------------------------------------------+------------+-------------------+
The preceding result set includes wait event data produced
during the startup process. To exclude this data, you can
truncate the
events_waits_summary_global_by_event_name
table immediately after startup and before running your
workload. However, the truncate operation itself may produce
a negligible amount wait event data.
mysql> TRUNCATE performance_schema.events_waits_summary_global_by_event_name;
InnoDB
monitors provide information about the
InnoDB
internal state. This information is useful
for performance tuning.
There are two types of InnoDB
monitor:
The standard InnoDB
Monitor displays the
following types of information:
Work done by the main background thread
Semaphore waits
Data about the most recent foreign key and deadlock errors
Lock waits for transactions
Table and record locks held by active transactions
Pending I/O operations and related statistics
Insert buffer and adaptive hash index statistics
Redo log data
Buffer pool statistics
Row operation data
The InnoDB
Lock Monitor prints additional
lock information as part of the standard
InnoDB
Monitor output.
When InnoDB
monitors are enabled for periodic
output, InnoDB
writes the output to
mysqld server standard error output
(stderr
) every 15 seconds, approximately.
InnoDB
sends the monitor output to
stderr
rather than to stdout
or fixed-size memory buffers to avoid potential buffer overflows.
On Windows, stderr
is directed to the default
log file unless configured otherwise. If you want to direct the
output to the console window rather than to the error log, start
the server from a command prompt in a console window with the
--console
option. For more
information, see Error Logging on Windows.
On Unix and Unix-like systems, stderr
is
typically directed to the terminal unless configured otherwise.
For more information, see Error Logging on Unix and Unix-Like Systems.
InnoDB
monitors should only be enabled when you
actually want to see monitor information because output generation
causes some performance decrement. Also, if monitor output is
directed to the error log, the log may become quite large if you
forget to disable the monitor later.
To assist with troubleshooting, InnoDB
temporarily enables standard InnoDB
Monitor
output under certain conditions. For more information, see
Section 15.20, “InnoDB Troubleshooting”.
InnoDB
monitor output begins with a header
containing a timestamp and the monitor name. For example:
===================================== 2014-10-16 18:37:29 0x7fc2a95c1700 INNODB MONITOR OUTPUT =====================================
The header for the standard InnoDB
Monitor
(INNODB MONITOR OUTPUT
) is also used for the
Lock Monitor because the latter produces the same output with the
addition of extra lock information.
The innodb_status_output
and
innodb_status_output_locks
system
variables are used to enable the standard
InnoDB
Monitor and InnoDB
Lock Monitor.
The PROCESS
privilege is required
to enable or disable InnoDB
Monitors.
Enable the standard InnoDB
Monitor by setting
the innodb_status_output
system
variable to ON
.
SET GLOBAL innodb_status_output=ON;
To disable the standard InnoDB
Monitor, set
innodb_status_output
to
OFF
.
When you shut down the server, the
innodb_status_output
variable is
set to the default OFF
value.
InnoDB
Lock Monitor data is printed with the
InnoDB
Standard Monitor output. Both the
InnoDB
Standard Monitor and
InnoDB
Lock Monitor must be enabled to have
InnoDB
Lock Monitor data printed periodically.
To enable the InnoDB
Lock Monitor, set the
innodb_status_output_locks
system
variable to ON
. Both the
InnoDB
standard Monitor and
InnoDB
Lock Monitor must be enabled to have
InnoDB
Lock Monitor data printed periodically:
SET GLOBAL innodb_status_output=ON; SET GLOBAL innodb_status_output_locks=ON;
To disable the InnoDB
Lock Monitor, set
innodb_status_output_locks
to
OFF
. Set
innodb_status_output
to
OFF
to also disable the
InnoDB
Standard Monitor.
When you shut down the server, the
innodb_status_output
and
innodb_status_output_locks
variables are set to the default OFF
value.
To enable the InnoDB
Lock Monitor for
SHOW ENGINE INNODB
STATUS
output, you are only required to enable
innodb_status_output_locks
.
As an alternative to enabling the standard
InnoDB
Monitor for periodic output, you can
obtain standard InnoDB
Monitor output on demand
using the SHOW ENGINE
INNODB STATUS
SQL statement, which fetches the output to
your client program. If you are using the mysql
interactive client, the output is more readable if you replace the
usual semicolon statement terminator with \G
:
mysql> SHOW ENGINE INNODB STATUS\G
SHOW ENGINE INNODB
STATUS
output also includes InnoDB
Lock Monitor data if the InnoDB
Lock Monitor is
enabled.
Standard InnoDB
Monitor output can be enabled
and directed to a status file by specifying the
--innodb-status-file
option at startup. When this
option is used, InnoDB
creates a file named
innodb_status.
in the data directory and writes output to it every 15 seconds,
approximately.
pid
InnoDB
removes the status file when the server
is shut down normally. If an abnormal shutdown occurs, the status
file may have to be removed manually.
The --innodb-status-file
option is intended for
temporary use, as output generation can affect performance, and
the
innodb_status.
file can become quite large over time.
pid
The Lock Monitor is the same as the Standard Monitor except that it includes additional lock information. Enabling either monitor for periodic output turns on the same output stream, but the stream includes extra information if the Lock Monitor is enabled. For example, if you enable the Standard Monitor and Lock Monitor, that turns on a single output stream. The stream includes extra lock information until you disable the Lock Monitor.
Standard Monitor output is limited to 1MB when produced using the
SHOW ENGINE INNODB
STATUS
statement. This limit does not apply to output
written to server standard error output
(stderr
).
Example Standard Monitor output:
mysql> SHOW ENGINE INNODB STATUS\G
*************************** 1. row ***************************
Type: InnoDB
Name:
Status:
=====================================
2018-04-12 15:14:08 0x7f971c063700 INNODB MONITOR OUTPUT
=====================================
Per second averages calculated from the last 4 seconds
-----------------
BACKGROUND THREAD
-----------------
srv_master_thread loops: 15 srv_active, 0 srv_shutdown, 1122 srv_idle
srv_master_thread log flush and writes: 0
----------
SEMAPHORES
----------
OS WAIT ARRAY INFO: reservation count 24
OS WAIT ARRAY INFO: signal count 24
RW-shared spins 4, rounds 8, OS waits 4
RW-excl spins 2, rounds 60, OS waits 2
RW-sx spins 0, rounds 0, OS waits 0
Spin rounds per wait: 2.00 RW-shared, 30.00 RW-excl, 0.00 RW-sx
------------------------
LATEST FOREIGN KEY ERROR
------------------------
2018-04-12 14:57:24 0x7f97a9c91700 Transaction:
TRANSACTION 7717, ACTIVE 0 sec inserting
mysql tables in use 1, locked 1
4 lock struct(s), heap size 1136, 3 row lock(s), undo log entries 3
MySQL thread id 8, OS thread handle 140289365317376, query id 14 localhost root update
INSERT INTO child VALUES (NULL, 1), (NULL, 2), (NULL, 3), (NULL, 4), (NULL, 5), (NULL, 6)
Foreign key constraint fails for table `test`.`child`:
,
CONSTRAINT `child_ibfk_1` FOREIGN KEY (`parent_id`) REFERENCES `parent` (`id`) ON DELETE
CASCADE ON UPDATE CASCADE
Trying to add in child table, in index par_ind tuple:
DATA TUPLE: 2 fields;
0: len 4; hex 80000003; asc ;;
1: len 4; hex 80000003; asc ;;
But in parent table `test`.`parent`, in index PRIMARY,
the closest match we can find is record:
PHYSICAL RECORD: n_fields 3; compact format; info bits 0
0: len 4; hex 80000004; asc ;;
1: len 6; hex 000000001e19; asc ;;
2: len 7; hex 81000001110137; asc 7;;
------------
TRANSACTIONS
------------
Trx id counter 7748
Purge done for trx's n:o < 7747 undo n:o < 0 state: running but idle
History list length 19
LIST OF TRANSACTIONS FOR EACH SESSION:
---TRANSACTION 421764459790000, not started
0 lock struct(s), heap size 1136, 0 row lock(s)
---TRANSACTION 7747, ACTIVE 23 sec starting index read
mysql tables in use 1, locked 1
LOCK WAIT 2 lock struct(s), heap size 1136, 1 row lock(s)
MySQL thread id 9, OS thread handle 140286987249408, query id 51 localhost root updating
DELETE FROM t WHERE i = 1
------- TRX HAS BEEN WAITING 23 SEC FOR THIS LOCK TO BE GRANTED:
RECORD LOCKS space id 4 page no 4 n bits 72 index GEN_CLUST_INDEX of table `test`.`t`
trx id 7747 lock_mode X waiting
Record lock, heap no 3 PHYSICAL RECORD: n_fields 4; compact format; info bits 0
0: len 6; hex 000000000202; asc ;;
1: len 6; hex 000000001e41; asc A;;
2: len 7; hex 820000008b0110; asc ;;
3: len 4; hex 80000001; asc ;;
------------------
TABLE LOCK table `test`.`t` trx id 7747 lock mode IX
RECORD LOCKS space id 4 page no 4 n bits 72 index GEN_CLUST_INDEX of table `test`.`t`
trx id 7747 lock_mode X waiting
Record lock, heap no 3 PHYSICAL RECORD: n_fields 4; compact format; info bits 0
0: len 6; hex 000000000202; asc ;;
1: len 6; hex 000000001e41; asc A;;
2: len 7; hex 820000008b0110; asc ;;
3: len 4; hex 80000001; asc ;;
--------
FILE I/O
--------
I/O thread 0 state: waiting for i/o request (insert buffer thread)
I/O thread 1 state: waiting for i/o request (log thread)
I/O thread 2 state: waiting for i/o request (read thread)
I/O thread 3 state: waiting for i/o request (read thread)
I/O thread 4 state: waiting for i/o request (read thread)
I/O thread 5 state: waiting for i/o request (read thread)
I/O thread 6 state: waiting for i/o request (write thread)
I/O thread 7 state: waiting for i/o request (write thread)
I/O thread 8 state: waiting for i/o request (write thread)
I/O thread 9 state: waiting for i/o request (write thread)
Pending normal aio reads: [0, 0, 0, 0] , aio writes: [0, 0, 0, 0] ,
ibuf aio reads:, log i/o's:, sync i/o's:
Pending flushes (fsync) log: 0; buffer pool: 0
833 OS file reads, 605 OS file writes, 208 OS fsyncs
0.00 reads/s, 0 avg bytes/read, 0.00 writes/s, 0.00 fsyncs/s
-------------------------------------
INSERT BUFFER AND ADAPTIVE HASH INDEX
-------------------------------------
Ibuf: size 1, free list len 0, seg size 2, 0 merges
merged operations:
insert 0, delete mark 0, delete 0
discarded operations:
insert 0, delete mark 0, delete 0
Hash table size 553253, node heap has 0 buffer(s)
Hash table size 553253, node heap has 1 buffer(s)
Hash table size 553253, node heap has 3 buffer(s)
Hash table size 553253, node heap has 0 buffer(s)
Hash table size 553253, node heap has 0 buffer(s)
Hash table size 553253, node heap has 0 buffer(s)
Hash table size 553253, node heap has 0 buffer(s)
Hash table size 553253, node heap has 0 buffer(s)
0.00 hash searches/s, 0.00 non-hash searches/s
---
LOG
---
Log sequence number 19643450
Log buffer assigned up to 19643450
Log buffer completed up to 19643450
Log written up to 19643450
Log flushed up to 19643450
Added dirty pages up to 19643450
Pages flushed up to 19643450
Last checkpoint at 19643450
129 log i/o's done, 0.00 log i/o's/second
----------------------
BUFFER POOL AND MEMORY
----------------------
Total large memory allocated 2198863872
Dictionary memory allocated 409606
Buffer pool size 131072
Free buffers 130095
Database pages 973
Old database pages 0
Modified db pages 0
Pending reads 0
Pending writes: LRU 0, flush list 0, single page 0
Pages made young 0, not young 0
0.00 youngs/s, 0.00 non-youngs/s
Pages read 810, created 163, written 404
0.00 reads/s, 0.00 creates/s, 0.00 writes/s
Buffer pool hit rate 1000 / 1000, young-making rate 0 / 1000 not 0 / 1000
Pages read ahead 0.00/s, evicted without access 0.00/s, Random read ahead 0.00/s
LRU len: 973, unzip_LRU len: 0
I/O sum[0]:cur[0], unzip sum[0]:cur[0]
----------------------
INDIVIDUAL BUFFER POOL INFO
----------------------
---BUFFER POOL 0
Buffer pool size 65536
Free buffers 65043
Database pages 491
Old database pages 0
Modified db pages 0
Pending reads 0
Pending writes: LRU 0, flush list 0, single page 0
Pages made young 0, not young 0
0.00 youngs/s, 0.00 non-youngs/s
Pages read 411, created 80, written 210
0.00 reads/s, 0.00 creates/s, 0.00 writes/s
Buffer pool hit rate 1000 / 1000, young-making rate 0 / 1000 not 0 / 1000
Pages read ahead 0.00/s, evicted without access 0.00/s, Random read ahead 0.00/s
LRU len: 491, unzip_LRU len: 0
I/O sum[0]:cur[0], unzip sum[0]:cur[0]
---BUFFER POOL 1
Buffer pool size 65536
Free buffers 65052
Database pages 482
Old database pages 0
Modified db pages 0
Pending reads 0
Pending writes: LRU 0, flush list 0, single page 0
Pages made young 0, not young 0
0.00 youngs/s, 0.00 non-youngs/s
Pages read 399, created 83, written 194
0.00 reads/s, 0.00 creates/s, 0.00 writes/s
No buffer pool page gets since the last printout
Pages read ahead 0.00/s, evicted without access 0.00/s, Random read ahead 0.00/s
LRU len: 482, unzip_LRU len: 0
I/O sum[0]:cur[0], unzip sum[0]:cur[0]
--------------
ROW OPERATIONS
--------------
0 queries inside InnoDB, 0 queries in queue
0 read views open inside InnoDB
Process ID=5772, Main thread ID=140286437054208 , state=sleeping
Number of rows inserted 57, updated 354, deleted 4, read 4421
0.00 inserts/s, 0.00 updates/s, 0.00 deletes/s, 0.00 reads/s
----------------------------
END OF INNODB MONITOR OUTPUT
============================
For a description of each metric reported by the Standard Monitor, refer to the Metrics chapter in the Oracle Enterprise Manager for MySQL Database User's Guide.
Status
This section shows the timestamp, the monitor name, and the
number of seconds that per-second averages are based on. The
number of seconds is the elapsed time between the current
time and the last time InnoDB
Monitor
output was printed.
BACKGROUND THREAD
The srv_master_thread
lines shows work
done by the main background thread.
SEMAPHORES
This section reports threads waiting for a semaphore and
statistics on how many times threads have needed a spin or a
wait on a mutex or a rw-lock semaphore. A large number of
threads waiting for semaphores may be a result of disk I/O,
or contention problems inside InnoDB
.
Contention can be due to heavy parallelism of queries or
problems in operating system thread scheduling. Setting the
innodb_thread_concurrency
system variable smaller than the default value might help in
such situations. The Spin rounds per wait
line shows the number of spinlock rounds per OS wait for a
mutex.
Mutex metrics are reported by
SHOW ENGINE
INNODB MUTEX
.
LATEST FOREIGN KEY ERROR
This section provides information about the most recent foreign key constraint error. It is not present if no such error has occurred. The contents include the statement that failed as well as information about the constraint that failed and the referenced and referencing tables.
LATEST DETECTED DEADLOCK
This section provides information about the most recent
deadlock. It is not present if no deadlock has occurred. The
contents show which transactions are involved, the statement
each was attempting to execute, the locks they have and
need, and which transaction InnoDB
decided to roll back to break the deadlock. The lock modes
reported in this section are explained in
Section 15.7.1, “InnoDB Locking”.
TRANSACTIONS
If this section reports lock waits, your applications might have lock contention. The output can also help to trace the reasons for transaction deadlocks.
FILE I/O
This section provides information about threads that
InnoDB
uses to perform various types of
I/O. The first few of these are dedicated to general
InnoDB
processing. The contents also
display information for pending I/O operations and
statistics for I/O performance.
The number of these threads are controlled by the
innodb_read_io_threads
and
innodb_write_io_threads
parameters. See Section 15.13, “InnoDB Startup Options and System Variables”.
INSERT BUFFER AND ADAPTIVE HASH INDEX
This section shows the status of the
InnoDB
insert buffer (also referred to as
the change buffer)
and the adaptive hash index.
For related information, see Section 15.5.2, “Change Buffer”, and Section 15.5.3, “Adaptive Hash Index”.
LOG
This section displays information about the
InnoDB
log. The contents include the
current log sequence number, how far the log has been
flushed to disk, and the position at which
InnoDB
last took a checkpoint. (See
Section 15.11.3, “InnoDB Checkpoints”.) The section also
displays information about pending writes and write
performance statistics.
BUFFER POOL AND MEMORY
This section gives you statistics on pages read and written. You can calculate from these numbers how many data file I/O operations your queries currently are doing.
For buffer pool statistics descriptions, see Monitoring the Buffer Pool Using the InnoDB Standard Monitor. For additional information about the operation of the buffer pool, see Section 15.5.1, “Buffer Pool”.
ROW OPERATIONS
This section shows what the main thread is doing, including the number and performance rate for each type of row operation.
This section covers topics related to InnoDB
backup and recovery.
For information about backup techniques applicable to
InnoDB
, see Section 15.17.1, “InnoDB Backup”.
For information about point-in-time recovery, recovery from disk
failure or corruption, and how InnoDB
performs crash recovery, see Section 15.17.2, “InnoDB Recovery”.
The key to safe database management is making regular backups. Depending on your data volume, number of MySQL servers, and database workload, you can use these backup techniques, alone or in combination: hot backup with MySQL Enterprise Backup; cold backup by copying files while the MySQL server is shut down; logical backup with mysqldump for smaller data volumes or to record the structure of schema objects. Hot and cold backups are physical backups that copy actual data files, which can be used directly by the mysqld server for faster restore.
Using MySQL Enterprise Backup is the
recommended method for backing up InnoDB
data.
InnoDB
does not support databases that are
restored using third-party backup tools.
The mysqlbackup command, part of the MySQL
Enterprise Backup component, lets you back up a running MySQL
instance, including InnoDB
tables, with minimal
disruption to operations while producing a consistent snapshot of
the database. When mysqlbackup is copying
InnoDB
tables, reads and writes to
InnoDB
tables can continue. MySQL Enterprise
Backup can also create compressed backup files, and back up
subsets of tables and databases. In conjunction with the MySQL
binary log, users can perform point-in-time recovery. MySQL
Enterprise Backup is part of the MySQL Enterprise subscription.
For more details, see Section 30.2, “MySQL Enterprise Backup Overview”.
If you can shut down the MySQL server, you can make a physical
backup that consists of all files used by
InnoDB
to manage its tables. Use the following
procedure:
Perform a slow shutdown of the MySQL server and make sure that it stops without errors.
Copy all InnoDB
data files
(ibdata
files and
.ibd
files) into a safe place.
Copy all InnoDB
log files
(ib_logfile
files) to a safe place.
Copy your my.cnf
configuration file or
files to a safe place.
In addition to physical backups, it is recommended that you
regularly create logical backups by dumping your tables using
mysqldump. A binary file might be corrupted
without you noticing it. Dumped tables are stored into text files
that are human-readable, so spotting table corruption becomes
easier. Also, because the format is simpler, the chance for
serious data corruption is smaller. mysqldump
also has a --single-transaction
option for making a consistent snapshot without locking out other
clients. See Section 7.3.1, “Establishing a Backup Policy”.
Replication works with InnoDB
tables,
so you can use MySQL replication capabilities to keep a copy of
your database at database sites requiring high availability. See
Section 15.18, “InnoDB and MySQL Replication”.
This section describes InnoDB
recovery. Topics
include:
To recover an InnoDB
database to the present
from the time at which the physical backup was made, you must
run MySQL server with binary logging enabled, even before taking
the backup. To achieve point-in-time recovery after restoring a
backup, you can apply changes from the binary log that occurred
after the backup was made. See
Section 7.5, “Point-in-Time (Incremental) Recovery Using the Binary Log”.
If your database becomes corrupted or disk failure occurs, you must perform the recovery using a backup. In the case of corruption, first find a backup that is not corrupted. After restoring the base backup, do a point-in-time recovery from the binary log files using mysqlbinlog and mysql to restore the changes that occurred after the backup was made.
In some cases of database corruption, it is enough to dump,
drop, and re-create one or a few corrupt tables. You can use the
CHECK TABLE
statement to check
whether a table is corrupt, although CHECK
TABLE
naturally cannot detect every possible kind of
corruption.
In some cases, apparent database page corruption is actually due
to the operating system corrupting its own file cache, and the
data on disk may be okay. It is best to try restarting the
computer first. Doing so may eliminate errors that appeared to
be database page corruption. If MySQL still has trouble starting
because of InnoDB
consistency problems, see
Section 15.20.2, “Forcing InnoDB Recovery” for steps to start the
instance in recovery mode, which permits you to dump the data.
To recover from a MySQL server crash, the only requirement is to
restart the MySQL server. InnoDB
automatically checks the logs and performs a roll-forward of the
database to the present. InnoDB
automatically
rolls back uncommitted transactions that were present at the
time of the crash. During recovery, mysqld
displays output similar to this:
InnoDB: The log sequence number 664050266 in the system tablespace does not match the log sequence number 685111586 in the ib_logfiles! InnoDB: Database was not shutdown normally! InnoDB: Starting crash recovery. InnoDB: Using 'tablespaces.open.2' max LSN: 664075228 InnoDB: Doing recovery: scanned up to log sequence number 690354176 InnoDB: Doing recovery: scanned up to log sequence number 695597056 InnoDB: Doing recovery: scanned up to log sequence number 700839936 InnoDB: Doing recovery: scanned up to log sequence number 706082816 InnoDB: Doing recovery: scanned up to log sequence number 711325696 InnoDB: Doing recovery: scanned up to log sequence number 713458156 InnoDB: Applying a batch of 1467 redo log records ... InnoDB: 10% InnoDB: 20% InnoDB: 30% InnoDB: 40% InnoDB: 50% InnoDB: 60% InnoDB: 70% InnoDB: 80% InnoDB: 90% InnoDB: 100% InnoDB: Apply batch completed! InnoDB: 1 transaction(s) which must be rolled back or cleaned up in total 561887 row operations to undo InnoDB: Trx id counter is 4096 ... InnoDB: 8.0.1 started; log sequence number 713458156 InnoDB: Waiting for purge to start InnoDB: Starting in background the rollback of uncommitted transactions InnoDB: Rolling back trx with id 3596, 561887 rows to undo ... ./mysqld: ready for connections....
InnoDB
crash recovery
consists of several steps:
Tablespace discovery
Tablespace discovery is the process that
InnoDB
uses to identify tablespaces that
require redo log application. See
Tablespace Discovery During Crash Recovery.
Redo log application
Redo log application is performed during initialization,
before accepting any connections. If all changes are flushed
from the buffer pool
to the tablespaces
(ibdata*
and *.ibd
files) at the time of the shutdown or crash, redo log
application is skipped. InnoDB
also skips
redo log application if redo log files are missing at
startup.
The current maximum auto-increment counter value is
written to the redo log each time the value changes,
which makes it crash-safe. During recovery,
InnoDB
scans the redo log to collect
counter value changes and applies the changes to the
in-memory table object.
For more information about how InnoDB
handles auto-increment values, see
Section 15.6.1.4, “AUTO_INCREMENT Handling in InnoDB”, and
InnoDB AUTO_INCREMENT Counter Initialization.
When encountering index tree corruption,
InnoDB
writes a corruption flag to
the redo log, which makes the corruption flag
crash-safe. InnoDB
also writes
in-memory corruption flag data to an engine-private
system table on each checkpoint. During recovery,
InnoDB
reads corruption flags from
both locations and merges results before marking
in-memory table and index objects as corrupt.
Removing redo logs to speed up recovery is not
recommended, even if some data loss is acceptable.
Removing redo logs should only be considered after a
clean shutdown, with
innodb_fast_shutdown
set to 0
or 1
.
Roll back of incomplete transactions
Incomplete transactions are any transactions that were active at the time of crash or fast shutdown. The time it takes to roll back an incomplete transaction can be three or four times the amount of time a transaction is active before it is interrupted, depending on server load.
You cannot cancel transactions that are being rolled back.
In extreme cases, when rolling back transactions is expected
to take an exceptionally long time, it may be faster to
start InnoDB
with an
innodb_force_recovery
setting of 3
or greater. See
Section 15.20.2, “Forcing InnoDB Recovery”.
Change buffer merge
Applying changes from the change buffer (part of the system tablespace) to leaf pages of secondary indexes, as the index pages are read to the buffer pool.
Deleting delete-marked records that are no longer visible to active transactions.
The steps that follow redo log application do not depend on the redo log (other than for logging the writes) and are performed in parallel with normal processing. Of these, only rollback of incomplete transactions is special to crash recovery. The insert buffer merge and the purge are performed during normal processing.
After redo log application, InnoDB
attempts
to accept connections as early as possible, to reduce downtime.
As part of crash recovery, InnoDB
rolls back
transactions that were not committed or in XA
PREPARE
state when the server crashed. The rollback is
performed by a background thread, executed in parallel with
transactions from new connections. Until the rollback operation
is completed, new connections may encounter locking conflicts
with recovered transactions.
In most situations, even if the MySQL server was killed
unexpectedly in the middle of heavy activity, the recovery
process happens automatically and no action is required of the
DBA. If a hardware failure or severe system error corrupted
InnoDB
data, MySQL might refuse to start. In
this case, see Section 15.20.2, “Forcing InnoDB Recovery”.
For information about the binary log and
InnoDB
crash recovery, see
Section 5.4.4, “The Binary Log”.
If, during recovery, InnoDB
encounters redo
logs written since the last checkpoint, the redo logs must be
applied to affected tablespaces. The process that identifies
affected tablespaces during recovery is referred to as
tablespace discovery.
Tablespace discovery is performed using tablespace map files
that map tablespace IDs to tablespace file names. Tablespace map
files are stored in the
innodb_data_home_dir
directory.
If innodb_data_home_dir
is not
configured, the default location is the MySQL data directory
(datadir
).
There are two tablespace map files
(tablespaces.open.1
and
tablespaces.open.2
) that are written to in
circular fashion. Tablespace map files are only used during
recovery. The files are ignored during normal startup.
In case of lost or corrupted tablespace map files, see Lost or Corrupted Tablespace Map Files.
If tablespace map files are lost or corrupted, the
innodb_scan_directories
option
can be used to specify tablespace file directories at startup.
This option causes InnoDB
to read the first
page of each tablespace file in the specified directories and
recreate tablespace map files so that the recovery process can
apply redo logs.
This option can also be used to specify the directory path of a
missing tablespace file. For example, if recovery reports an
error due to a missing tablespace file, you can configure
innodb_scan_directories
to
search for the tablespace file in a specific directory.
innodb_scan_directories
may be
specified as an option in a startup command or in a MySQL option
file. Quotes are used around the argument value because
otherwise a semicolon (;) is interpreted as a special character
by some command interpreters. (Unix shells treat it as a command
terminator, for example.)
Startup command:
mysqld --innodb-scan-directories="directory_path_1
;directory_path_2
"
MySQL option file:
[mysqld] innodb_scan_directories="directory_path_1
;directory_path_2
"
When innodb_scan_directories
is
specified at startup, the InnoDB
startup
process prints messages similar to the following, reporting the
directories that were scanned and the number of tablespace files
found:
InnoDB: Directories to scan 'directory_path_1
;directory_path_2
' InnoDB: Scanning 'directory_path_1
' InnoDB: Scanning 'directory_path_2
' InnoDB: Found 10 '.ibd' file(s)
MySQL replication works for InnoDB
tables as it
does for MyISAM
tables. It is also possible to
use replication in a way where the storage engine on the slave is
not the same as the original storage engine on the master. For
example, you can replicate modifications to an
InnoDB
table on the master to a
MyISAM
table on the slave. For more information
see, Section 17.3.4, “Using Replication with Different Master and Slave Storage Engines”.
For information about setting up a new slave for a master, see Section 17.1.2.6, “Setting Up Replication Slaves”, and Section 17.1.2.5, “Choosing a Method for Data Snapshots”. To make a new slave without taking down the master or an existing slave, use the MySQL Enterprise Backup product.
Transactions that fail on the master do not affect replication at all. MySQL replication is based on the binary log where MySQL writes SQL statements that modify data. A transaction that fails (for example, because of a foreign key violation, or because it is rolled back) is not written to the binary log, so it is not sent to slaves. See Section 13.3.1, “START TRANSACTION, COMMIT, and ROLLBACK Syntax”.
Replication and CASCADE.
Cascading actions for InnoDB
tables on the
master are replicated on the slave only if
the tables sharing the foreign key relation use
InnoDB
on both the master and slave. This is
true whether you are using statement-based or row-based
replication. Suppose that you have started replication, and then
create two tables on the master using the following
CREATE TABLE
statements:
CREATE TABLE fc1 ( i INT PRIMARY KEY, j INT ) ENGINE = InnoDB; CREATE TABLE fc2 ( m INT PRIMARY KEY, n INT, FOREIGN KEY ni (n) REFERENCES fc1 (i) ON DELETE CASCADE ) ENGINE = InnoDB;
Suppose that the slave does not have InnoDB
support enabled. If this is the case, then the tables on the slave
are created, but they use the MyISAM
storage
engine, and the FOREIGN KEY
option is ignored.
Now we insert some rows into the tables on the master:
master>INSERT INTO fc1 VALUES (1, 1), (2, 2);
Query OK, 2 rows affected (0.09 sec) Records: 2 Duplicates: 0 Warnings: 0 master>INSERT INTO fc2 VALUES (1, 1), (2, 2), (3, 1);
Query OK, 3 rows affected (0.19 sec) Records: 3 Duplicates: 0 Warnings: 0
At this point, on both the master and the slave, table
fc1
contains 2 rows, and table
fc2
contains 3 rows, as shown here:
master>SELECT * FROM fc1;
+---+------+ | i | j | +---+------+ | 1 | 1 | | 2 | 2 | +---+------+ 2 rows in set (0.00 sec) master>SELECT * FROM fc2;
+---+------+ | m | n | +---+------+ | 1 | 1 | | 2 | 2 | | 3 | 1 | +---+------+ 3 rows in set (0.00 sec) slave>SELECT * FROM fc1;
+---+------+ | i | j | +---+------+ | 1 | 1 | | 2 | 2 | +---+------+ 2 rows in set (0.00 sec) slave>SELECT * FROM fc2;
+---+------+ | m | n | +---+------+ | 1 | 1 | | 2 | 2 | | 3 | 1 | +---+------+ 3 rows in set (0.00 sec)
Now suppose that you perform the following
DELETE
statement on the master:
master> DELETE FROM fc1 WHERE i=1;
Query OK, 1 row affected (0.09 sec)
Due to the cascade, table fc2
on the master now
contains only 1 row:
master> SELECT * FROM fc2;
+---+---+
| m | n |
+---+---+
| 2 | 2 |
+---+---+
1 row in set (0.00 sec)
However, the cascade does not propagate on the slave because on the
slave the DELETE
for
fc1
deletes no rows from fc2
.
The slave's copy of fc2
still contains all of the
rows that were originally inserted:
slave> SELECT * FROM fc2;
+---+---+
| m | n |
+---+---+
| 1 | 1 |
| 3 | 1 |
| 2 | 2 |
+---+---+
3 rows in set (0.00 sec)
This difference is due to the fact that the cascading deletes are
handled internally by the InnoDB
storage engine,
which means that none of the changes are logged.
The InnoDB
memcached plugin
(daemon_memcached
) provides an integrated
memcached daemon that automatically stores and
retrieves data from InnoDB
tables, turning the
MySQL server into a fast “key-value store”. Instead of
formulating queries in SQL, you can use simple
get
, set
, and
incr
operations that avoid the performance
overhead associated with SQL parsing and constructing a query
optimization plan. You can also access the same
InnoDB
tables through SQL for convenience,
complex queries, bulk operations, and other strengths of traditional
database software.
This “NoSQL-style” interface uses the
memcached API to speed up database operations,
letting InnoDB
handle memory caching using its
buffer pool mechanism. Data
modified through memcached operations such as
add
, set
, and
incr
are stored to disk, in
InnoDB
tables. The combination of
memcached simplicity and
InnoDB
reliability and consistency provides users
with the best of both worlds, as explained in
Section 15.19.1, “Benefits of the InnoDB memcached Plugin”. For an architectural
overview, see Section 15.19.2, “InnoDB memcached Architecture”.
This section outlines advantages the
daemon_memcached
plugin. The combination of
InnoDB
tables and memcached
offers advantages over using either by themselves.
Direct access to the InnoDB
storage engine
avoids the parsing and planning overhead of SQL.
Running memcached in the same process space as the MySQL server avoids the network overhead of passing requests back and forth.
Data written using the memcached protocol
is transparently written to an InnoDB
table, without going through the MySQL SQL layer. You can
control frequency of writes to achieve higher raw performance
when updating non-critical data.
Data requested through the memcached
protocol is transparently queried from an
InnoDB
table, without going through the
MySQL SQL layer.
Subsequent requests for the same data is served from the
InnoDB
buffer pool. The buffer pool handles
the in-memory caching. You can tune performance of
data-intensive operations using InnoDB
configuration options.
Data can be unstructured or structured, depending on the type of application. You can create a new table for data, or use existing tables.
InnoDB
can handle composing and decomposing
multiple column values into a single
memcached item value, reducing the amount
of string parsing and concatenation required in your
application. For example, you can store the string value
2|4|6|8
in the memcached
cache, and have InnoDB
split the value
based on a separator character, then store the result in four
numeric columns.
The transfer between memory and disk is handled automatically, simplifying application logic.
Data is stored in a MySQL database to protect against crashes, outages, and corruption.
You can access the underlying InnoDB
table
through SQL for reporting, analysis, ad hoc queries, bulk
loading, multi-step transactional computations, set operations
such as union and intersection, and other operations suited to
the expressiveness and flexibility of SQL.
You can ensure high availability by using the
daemon_memcached
plugin on a
master server in
combination with MySQL replication.
The integration of memcached with MySQL
provides a way to make in-memory data persistent, so you can
use it for more significant kinds of data. You can use more
add
, incr
, and similar
write operations in your application without concern that data
could be lost. You can stop and start the
memcached server without losing updates
made to cached data. To guard against unexpected outages, you
can take advantage of InnoDB
crash
recovery, replication, and backup capabilities.
The way InnoDB
does fast
primary key lookups is
a natural fit for memcached single-item
queries. The direct, low-level database access path used by
the daemon_memcached
plugin is much more
efficient for key-value lookups than equivalent SQL queries.
The serialization features of memcached, which can turn complex data structures, binary files, or even code blocks into storeable strings, offer a simple way to get such objects into a database.
Because you can access the underlying data through SQL, you
can produce reports, search or update across multiple keys,
and call functions such as AVG()
and
MAX()
on memcached data.
All of these operations are expensive or complicated using
memcached by itself.
You do not need to manually load data into
memcached at startup. As particular keys
are requested by an application, values are retrieved from the
database automatically, and cached in memory using the
InnoDB
buffer pool.
Because memcached consumes relatively little CPU, and its memory footprint is easy to control, it can run comfortably alongside a MySQL instance on the same system.
Because data consistency is enforced by mechanisms used for
regular InnoDB
tables, you do not have to
worry about stale memcached data or
fallback logic to query the database in the case of a missing
key.
The InnoDB
memcached plugin
implements memcached as a MySQL plugin daemon
that accesses the InnoDB
storage engine
directly, bypassing the MySQL SQL layer.
The following diagram illustrates how an application accesses data
through the daemon_memcached
plugin, compared
with SQL.
Features of the daemon_memcached
plugin:
memcached as a daemon plugin of mysqld. Both mysqld and memcached run in the same process space, with very low latency access to data.
Direct access to InnoDB
tables, bypassing
the SQL parser, the optimizer, and even the Handler API layer.
Standard memcached protocols, including the
text-based protocol and the binary protocol. The
daemon_memcached
plugin passes all 55
compatibility tests of the memcapable
command.
Multi-column support. You can map multiple columns into the “value” part of the key-value store, with column values delimited by a user-specified separator character.
By default, the memcached protocol is used
to read and write data directly to InnoDB
,
letting MySQL manage in-memory caching using the
InnoDB
buffer pool. The
default settings represent a combination of high reliability
and the fewest surprises for database applications. For
example, default settings avoid uncommitted data on the
database side, or stale data returned for
memcached get
requests.
Advanced users can configure the system as a traditional
memcached server, with all data cached only
in the memcached engine (memory caching),
or use a combination of the
“memcached engine” (memory
caching) and the InnoDB
memcached engine (InnoDB
as back-end persistent storage).
Control over how often data is passed back and forth between
InnoDB
and memcached
operations through the
innodb_api_bk_commit_interval
,
daemon_memcached_r_batch_size
,
and
daemon_memcached_w_batch_size
configuration options. Batch size options default to a value
of 1 for maximum reliability.
The ability to specify memcached options
through the
daemon_memcached_option
configuration parameter. For example, you can change the port
that memcached listens on, reduce the
maximum number of simultaneous connections, change the maximum
memory size for a key-value pair, or enable debugging messages
for the error log.
The innodb_api_trx_level
configuration option controls the transaction
isolation level on
queries processed by memcached. Although
memcached has no concept of
transactions, you can
use this option to control how soon
memcached sees changes caused by SQL
statements issued on the table used by the
daemon_memcached plugin. By default,
innodb_api_trx_level
is set
to READ UNCOMMITTED
.
The innodb_api_enable_mdl
option can be used to lock the table at the MySQL level, so
that the mapped table cannot be dropped or altered by
DDL through the SQL interface.
Without the lock, the table can be dropped from the MySQL
layer, but kept in InnoDB
storage until
memcached or some other user stops using
it. “MDL” stands for “metadata
locking”.
You may already be familiar with using
memcached with MySQL, as described in
Using MySQL with memcached. This section describes how
features of the integrated InnoDB
memcached plugin differ from traditional
memcached
.
Installation: The memcached library comes
with the MySQL server, making installation and setup
relatively easy. Installation involves running the
innodb_memcached_config.sql
script to
create a demo_test
table for
memcached to use, issuing an
INSTALL PLUGIN
statement to
enable the daemon_memcached
plugin, and
adding desired memcached options to a
MySQL configuration file or startup script. You might still
install the traditional memcached
distribution for additional utilities such as
memcp, memcat, and
memcapable.
For comparison with traditional memcached, see Installing memcached.
Deployment: With traditional memcached,
it is typical to run large numbers of low-capacity
memcached servers. A typical deployment
of the daemon_memcached
plugin, however,
involves a smaller number of moderate or high-powered
servers that are already running MySQL. The benefit of this
configuration is in improving efficiency of individual
database servers rather than exploiting unused memory or
distributing lookups across large numbers of servers. In the
default configuration, very little memory is used for
memcached, and in-memory lookups are
served from the InnoDB
buffer pool, which
automatically caches the most recently and frequently used
data. As with a traditional MySQL server instance, keep the
value of the
innodb_buffer_pool_size
configuration option as high as practical (without causing
paging at the OS level), so that as much work as possible is
performed in memory.
For comparison with traditional memcached, see memcached Deployment.
Expiry: By default (that is, using the
innodb_only
caching policy), the latest
data from the InnoDB
table is always
returned, so the expiry options have no practical effect. If
you change the caching policy to caching
or cache-only
, the expiry options work as
usual, but requested data might be stale if it is updated in
the underlying table before it expires from the memory
cache.
For comparison with traditional memcached, see Data Expiry.
Namespaces: memcached is like a large
directory where you give files elaborate names with prefixes
and suffixes to keep the files from conflicting. The
daemon_memcached
plugin lets you use
similar naming conventions for keys, with one addition. Key
names in the format
@@
.table_id
.key
table_id
are decoded to reference a specific a table, using mapping
data from the innodb_memcache.containers
table. The key
is looked up in or
written to the specified table.
The @@
notation only works for individual
calls to get
, add
, and
set
functions, but not others such as
incr
or delete
. To
designate a default table for subsequent
memcached operations within a session,
perform a get
request using the
@@
notation with a
, but
without the key portion. For example:
table_id
get @@table_id
Subsequent get
, set
,
incr
, delete
, and
other operations use the table designated by
in
the table_id
innodb_memcache.containers.name
column.
For comparison with traditional memcached, see Using Namespaces.
Hashing and distribution: The default configuration, which
uses the innodb_only
caching policy, is
suitable for a traditional deployment configuration where
all data is available on all servers, such as a set of
replication slave servers.
If you physically divide data, as in a sharded
configuration, you can split data across several machines
running the daemon_memcached
plugin, and
use the traditional memcached hashing
mechanism to route requests to a particular machine. On the
MySQL side, you would typically let all data be inserted by
add
requests to
memcached so that appropriate values are
stored in the database on the appropriate server.
For comparison with traditional memcached, see memcached Hashing/Distribution Types.
Memory usage: By default (with the
innodb_only
caching policy), the
memcached protocol passes information
back and forth with InnoDB
tables, and
the InnoDB
buffer pool handles in-memory
lookups instead of memcached memory usage
growing and shrinking. Relatively little memory is used on
the memcached side.
If you switch the caching policy to
caching
or cache-only
,
the normal rules of memcached memory
usage apply. Memory for memcached data
values is allocated in terms of “slabs”. You
can control slab size and maximum memory used for
memcached.
Either way, you can monitor and troubleshoot the
daemon_memcached
plugin using the
familiar
statistics system,
accessed through the standard protocol, over a
telnet session, for example. Extra
utilities are not included with the
daemon_memcached
plugin. You can use the
memcached-tool
script to install a full memcached
distribution.
For comparison with traditional memcached, see Memory Allocation within memcached.
Thread usage: MySQL threads and memcached threads co-exist on the same server. Limits imposed on threads by the operating system apply to the total number of threads.
For comparison with traditional memcached, see memcached Thread Support.
Log usage: Because the memcached daemon
is run alongside the MySQL server and writes to
stderr
, the -v
,
-vv
, and -vvv
options
for logging write output to the MySQL
error log.
For comparison with traditional memcached, see memcached Logs.
memcached operations: Familiar
memcached operations such as
get
, set
,
add
, and delete
are
available. Serialization (that is, the exact string format
representing complex data structures) depends on the
language interface.
For comparison with traditional memcached, see Basic memcached Operations.
Using memcached as a MySQL front end:
This is the primary purpose of the InnoDB
memcached plugin. An integrated
memcached daemon improves application
performance, and having InnoDB
handle
data transfers between memory and disk simplifies
application logic.
For comparison with traditional memcached, see Using memcached as a MySQL Caching Layer.
Utilities: The MySQL server includes the
libmemcached
library but not additional
command-line utilities. To use commands such as
memcp, memcat, and
memcapable commands, install a full
memcached distribution. When
memrm and memflush
remove items from the cache, the items are also removed from
the underlying InnoDB
table.
For comparison with traditional memcached, see libmemcached Command-Line Utilities.
Programming interfaces: You can access the MySQL server
through the daemon_memcached
plugin using
all supported languages:
C and
C++,
Java,
Perl,
Python,
PHP, and
Ruby.
Specify the server hostname and port as with a traditional
memcached server. By default, the
daemon_memcached
plugin listens on port
11211
. You can use both the
text and
binary protocols. You can customize the
behavior
of memcached functions at runtime.
Serialization (that is, the exact string format representing
complex data structures) depends on the language interface.
For comparison with traditional memcached, see Developing a memcached Application.
Frequently asked questions: MySQL has an extensive FAQ for
traditional memcached. The FAQ is mostly
applicable, except that using InnoDB
tables as a storage medium for memcached
data means that you can use memcached for
more write-intensive applications than before, rather than
as a read-only cache.
See memcached FAQ.
This section describes how to set up the
daemon_memcached
plugin on a MySQL server.
Because the memcached daemon is tightly
integrated with the MySQL server to avoid network traffic and
minimize latency, you perform this process on each MySQL instance
that uses this feature.
Before setting up the daemon_memcached
plugin, consult Section 15.19.5, “Security Considerations for the InnoDB memcached Plugin” to
understand the security procedures required to prevent
unauthorized access.
The daemon_memcached
plugin is only
supported on Linux, Solaris, and OS X platforms. Other
operating systems are not supported.
When building MySQL from source, you must build with
-DWITH_INNODB_MEMCACHED=ON
.
This build option generates two shared libraries in the
MySQL plugin directory
(plugin_dir
) that are
required to run the daemon_memcached
plugin:
libmemcached.so
: the
memcached daemon plugin to MySQL.
innodb_engine.so
: an
InnoDB
API plugin to
memcached.
libevent
must be installed.
If you did not build MySQL from source, the
libevent
library is not included in
your installation. Use the installation method for your
operating system to install libevent
1.4.12 or later. For example, depending on the operating
system, you might use apt-get
,
yum
, or port
install
. For example, on Ubuntu Linux, use:
sudo apt-get install libevent-dev
If you installed MySQL from a source code release,
libevent
1.4.12 is bundled with the
package and is located at the top level of the MySQL
source code directory. If you use the bundled version of
libevent
, no action is required. If
you want to use a local system version of
libevent
, you must build MySQL with
the -DWITH_LIBEVENT
build
option set to system
or
yes
.
Configure the daemon_memcached
plugin so
it can interact with InnoDB
tables by
running the innodb_memcached_config.sql
configuration script, which is located in
.
This script installs the MYSQL_HOME
/shareinnodb_memcache
database with three required tables
(cache_policies
,
config_options
, and
containers
). It also installs the
demo_test
sample table in the
test
database.
mysql> source MYSQL_HOME
/share/innodb_memcached_config.sql
Running the innodb_memcached_config.sql
script is a one-time operation. The tables remain in place
if you later uninstall and re-install the
daemon_memcached
plugin.
mysql>USE innodb_memcache;
mysql>SHOW TABLES;
+---------------------------+ | Tables_in_innodb_memcache | +---------------------------+ | cache_policies | | config_options | | containers | +---------------------------+ mysql>USE test;
mysql>SHOW TABLES;
+----------------+ | Tables_in_test | +----------------+ | demo_test | +----------------+
Of these tables, the
innodb_memcache.containers
table is the
most important. Entries in the containers
table provide a mapping to InnoDB
table
columns. Each InnoDB
table used with the
daemon_memcached
plugin requires an entry
in the containers
table.
The innodb_memcached_config.sql
script
inserts a single entry in the containers
table that provides a mapping for the
demo_test
table. It also inserts a single
row of data into the demo_test
table.
This data allows you to immediately verify the installation
after the setup is completed.
mysql>SELECT * FROM innodb_memcache.containers\G
*************************** 1. row *************************** name: aaa db_schema: test db_table: demo_test key_columns: c1 value_columns: c2 flags: c3 cas_column: c4 expire_time_column: c5 unique_idx_name_on_key: PRIMARY mysql>SELECT * FROM test.demo_test;
+----+------------------+------+------+------+ | c1 | c2 | c3 | c4 | c5 | +----+------------------+------+------+------+ | AA | HELLO, HELLO | 8 | 0 | 0 | +----+------------------+------+------+------+
For more information about
innodb_memcache
tables and the
demo_test
sample table, see
Section 15.19.8, “InnoDB memcached Plugin Internals”.
Activate the daemon_memcached
plugin by
running the INSTALL PLUGIN
statement:
mysql> INSTALL PLUGIN daemon_memcached soname "libmemcached.so";
Once the plugin is installed, it is automatically activated each time the MySQL server is restarted.
To verify the daemon_memcached
plugin setup,
use a telnet session to issue
memcached commands. By default, the
memcached daemon listens on port 11211.
Retrieve data from the test.demo_test
table. The single row of data in the
demo_test
table has a key value of
AA
.
telnet localhost 11211
Trying 127.0.0.1... Connected to localhost. Escape character is '^]'.get AA
VALUE AA 8 12 HELLO, HELLO END
Insert data using a set
command.
set BB 10 0 16
GOODBYE, GOODBYE
STORED
where:
set
is the command to store a value
BB
is the key
10
is a flag for the operation;
ignored by memcached but may be used
by the client to indicate any type of information;
specify 0
if unused
0
is the expiration time (TTL);
specify 0
if unused
16
is the length of the supplied
value block in bytes
GOODBYE, GOODBYE
is the value that is
stored
Verify that the data inserted is stored in MySQL by
connecting to the MySQL server and querying the
test.demo_test
table.
mysql> SELECT * FROM test.demo_test;
+----+------------------+------+------+------+
| c1 | c2 | c3 | c4 | c5 |
+----+------------------+------+------+------+
| AA | HELLO, HELLO | 8 | 0 | 0 |
| BB | GOODBYE, GOODBYE | 10 | 1 | 0 |
+----+------------------+------+------+------+
Return to the telnet session and retrieve the data that you
inserted earlier using key BB
.
get BB
VALUE BB 10 16 GOODBYE, GOODBYE ENDquit
If you shut down the MySQL server, which also shuts off the
integrated memcached server, further attempts
to access the memcached data fail with a
connection error. Normally, the memcached
data also disappears at this point, and you would require
application logic to load the data back into memory when
memcached is restarted. However, the
InnoDB
memcached plugin
automates this process for you.
When you restart MySQL, get
operations once
again return the key-value pairs you stored in the earlier
memcached session. When a key is requested
and the associated value is not already in the memory cache, the
value is automatically queried from the MySQL
test.demo_test
table.
This example shows how to setup your own
InnoDB
table with the
daemon_memcached
plugin.
Create an InnoDB
table. The table must
have a key column with a unique index. The key column of the
city table is city_id
, which is defined
as the primary key. The table must also include columns for
flags
, cas
, and
expiry
values. There may be one or more
value columns. The city
table has three
value columns (name
,
state
, country
).
There is no special requirement with respect to column
names as along as a valid mapping is added to the
innodb_memcache.containers
table.
mysql>CREATE TABLE city (
city_id VARCHAR(32),
name VARCHAR(1024),
state VARCHAR(1024),
country VARCHAR(1024),
flags INT,
cas BIGINT UNSIGNED,
expiry INT,
primary key(city_id)
)ENGINE=InnoDB;
Add an entry to the
innodb_memcache.containers
table so that
the daemon_memcached
plugin knows how to
access the InnoDB
table. The entry must
satisfy the innodb_memcache.containers
table definition. For a description of each field, see
Section 15.19.8, “InnoDB memcached Plugin Internals”.
mysql> DESCRIBE innodb_memcache.containers;
+------------------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------------------+--------------+------+-----+---------+-------+
| name | varchar(50) | NO | PRI | NULL | |
| db_schema | varchar(250) | NO | | NULL | |
| db_table | varchar(250) | NO | | NULL | |
| key_columns | varchar(250) | NO | | NULL | |
| value_columns | varchar(250) | YES | | NULL | |
| flags | varchar(250) | NO | | 0 | |
| cas_column | varchar(250) | YES | | NULL | |
| expire_time_column | varchar(250) | YES | | NULL | |
| unique_idx_name_on_key | varchar(250) | NO | | NULL | |
+------------------------+--------------+------+-----+---------+-------+
The innodb_memcache.containers
table
entry for the city table is defined as:
mysql>INSERT INTO `innodb_memcache`.`containers` (
`name`, `db_schema`, `db_table`, `key_columns`, `value_columns`,
`flags`, `cas_column`, `expire_time_column`, `unique_idx_name_on_key`)
VALUES ('default', 'test', 'city', 'city_id', 'name|state|country',
'flags','cas','expiry','PRIMARY');
default
is specified for the
containers.name
column to configure
the city
table as the default
InnoDB
table to be used with the
daemon_memcached
plugin.
Multiple InnoDB
table columns
(name
, state
,
country
) are mapped to
containers.value_columns
using a
“|” delimiter.
The flags
,
cas_column
, and
expire_time_column
fields of the
innodb_memcache.containers
table are
typically not significant in applications using the
daemon_memcached
plugin. However, a
designated InnoDB
table column is
required for each. When inserting data, specify
0
for these columns if they are
unused.
After updating the
innodb_memcache.containers
table, restart
the daemon_memcache
plugin to apply the
changes.
mysql>UNINSTALL PLUGIN daemon_memcached;
mysql>INSTALL PLUGIN daemon_memcached soname "libmemcached.so";
Using telnet, insert data into the city
table using a memcached
set
command.
telnet localhost 11211
Trying 127.0.0.1... Connected to localhost. Escape character is '^]'.set B 0 0 22
BANGALORE|BANGALORE|IN
STORED
Using MySQL, query the test.city
table to
verify that the data you inserted was stored.
mysql> SELECT * FROM test.city;
+---------+-----------+-----------+---------+-------+------+--------+
| city_id | name | state | country | flags | cas | expiry |
+---------+-----------+-----------+---------+-------+------+--------+
| B | BANGALORE | BANGALORE | IN | 0 | 3 | 0 |
+---------+-----------+-----------+---------+-------+------+--------+
Using MySQL, insert additional data into the
test.city
table.
mysql>INSERT INTO city VALUES ('C','CHENNAI','TAMIL NADU','IN', 0, 0 ,0);
mysql>INSERT INTO city VALUES ('D','DELHI','DELHI','IN', 0, 0, 0);
mysql>INSERT INTO city VALUES ('H','HYDERABAD','TELANGANA','IN', 0, 0, 0);
mysql>INSERT INTO city VALUES ('M','MUMBAI','MAHARASHTRA','IN', 0, 0, 0);
It is recommended that you specify a value of
0
for the flags
,
cas_column
, and
expire_time_column
fields if they are
unused.
Using telnet, issue a memcached
get
command to retrieve data you inserted
using MySQL.
get H
VALUE H 0 22
HYDERABAD|TELANGANA|IN
END
Traditional memcached
configuration options
may be specified in a MySQL configuration file or a
mysqld startup string, encoded in the
argument of the
daemon_memcached_option
configuration parameter. memcached
configuration options take effect when the plugin is loaded,
which occurs each time the MySQL server is started.
For example, to make memcached listen on port
11222 instead of the default port 11211, specify
-p11222
as an argument of the
daemon_memcached_option
configuration option:
mysqld .... --daemon_memcached_option="-p11222"
Other memcached options can be encoded in the
daemon_memcached_option
string.
For example, you can specify options to reduce the maximum
number of simultaneous connections, change the maximum memory
size for a key-value pair, or enable debugging messages for the
error log, and so on.
There are also configuration options specific to the
daemon_memcached
plugin. These include:
daemon_memcached_engine_lib_name
:
Specifies the shared library that implements the
InnoDB
memcached
plugin. The default setting is
innodb_engine.so
.
daemon_memcached_engine_lib_path
:
The path of the directory containing the shared library that
implements the InnoDB
memcached plugin. The default is NULL,
representing the plugin directory.
daemon_memcached_r_batch_size
:
Defines the batch commit size for read operations
(get
). It specifies the number of
memcached read operations after which a
commit occurs.
daemon_memcached_r_batch_size
is set to 1 by default so that every get
request accesses the most recently committed data in the
InnoDB
table, whether the data was
updated through memcached or by SQL. When
the value is greater than 1, the counter for read operations
is incremented with each get
call. A
flush_all
call resets both read and write
counters.
daemon_memcached_w_batch_size
:
Defines the batch commit size for write operations
(set
, replace
,
append
, prepend
,
incr
, decr
, and so
on).
daemon_memcached_w_batch_size
is set to 1 by default so that no uncommitted data is lost
in case of an outage, and so that SQL queries on the
underlying table access the most recent data. When the value
is greater than 1, the counter for write operations is
incremented for each add
,
set
, incr
,
decr
, and delete
call.
A flush_all
call resets both read and
write counters.
By default, you do not need to modify
daemon_memcached_engine_lib_name
or
daemon_memcached_engine_lib_path
.
You might configure these options if, for example, you want to
use a different storage engine for memcached
(such as the NDB memcached engine).
daemon_memcached
plugin configuration
parameters may be specified in the MySQL configuration file or
in a mysqld startup string. They take effect
when you load the daemon_memcached
plugin.
When making changes to daemon_memcached
plugin configuration, reload the plugin to apply the changes. To
do so, issue the following statements:
mysql>UNINSTALL PLUGIN daemon_memcached;
mysql>INSTALL PLUGIN daemon_memcached soname "libmemcached.so";
Configuration settings, required tables, and data are preserved when the plugin is restarted.
For additional information about enabling and disabling plugins, see Section 5.6.1, “Installing and Uninstalling Plugins”.
The daemon_memcached
plugin supports multiple
get operations (fetching multiple key-value pairs in a single
memcached query) and range queries.
The ability to fetch multiple key-value pairs in a single
memcached query improves read performance by
reducing communication traffic between the client and server. For
InnoDB
, it means fewer transactions and
open-table operations.
The following example demonstrates multiple-get support. The
example uses the test.city
table described in
Creating a New Table and Column Mapping.
mysql>USE test;
mysql>SELECT * FROM test.city;
+---------+-----------+-------------+---------+-------+------+--------+ | city_id | name | state | country | flags | cas | expiry | +---------+-----------+-------------+---------+-------+------+--------+ | B | BANGALORE | BANGALORE | IN | 0 | 1 | 0 | | C | CHENNAI | TAMIL NADU | IN | 0 | 0 | 0 | | D | DELHI | DELHI | IN | 0 | 0 | 0 | | H | HYDERABAD | TELANGANA | IN | 0 | 0 | 0 | | M | MUMBAI | MAHARASHTRA | IN | 0 | 0 | 0 | +---------+-----------+-------------+---------+-------+------+--------+
Run a get
command to retrieve all values from
the city
table. The results are returned in a
key-value pair sequence.
telnet 127.0.0.1 11211
Trying 127.0.0.1... Connected to 127.0.0.1. Escape character is '^]'.get B C D H M
VALUE B 0 22 BANGALORE|BANGALORE|IN VALUE C 0 21 CHENNAI|TAMIL NADU|IN VALUE D 0 14 DELHI|DELHI|IN VALUE H 0 22 HYDERABAD|TELANGANA|IN VALUE M 0 21 MUMBAI|MAHARASHTRA|IN END
When retrieving multiple values in a single get
command, you can switch tables (using
@@
notation) to retrieve the value for the first key, but you cannot
switch tables for subsequent keys. For example, the table switch
in this example is valid:
containers.name
get @@aaa.AA BB
VALUE @@aaa.AA 8 12
HELLO, HELLO
VALUE BB 10 16
GOODBYE, GOODBYE
END
Attempting to switch tables again in the same
get
command to retrieve a key value from a
different table is not supported.
For range queries, the daemon_memcached
plugin
supports the following comparison operators:
<
, >
,
<=
, >=
. An operator
must be preceded by an @
symbol. When a range
query finds multiple matching key-value pairs, results are
returned in a key-value pair sequence.
The following examples demonstrate range query support. The
examples use the test.city
table described in
Creating a New Table and Column Mapping.
mysql> SELECT * FROM test.city;
+---------+-----------+-------------+---------+-------+------+--------+
| city_id | name | state | country | flags | cas | expiry |
+---------+-----------+-------------+---------+-------+------+--------+
| B | BANGALORE | BANGALORE | IN | 0 | 1 | 0 |
| C | CHENNAI | TAMIL NADU | IN | 0 | 0 | 0 |
| D | DELHI | DELHI | IN | 0 | 0 | 0 |
| H | HYDERABAD | TELANGANA | IN | 0 | 0 | 0 |
| M | MUMBAI | MAHARASHTRA | IN | 0 | 0 | 0 |
+---------+-----------+-------------+---------+-------+------+--------+
Open a telnet session:
telnet 127.0.0.1 11211
Trying 127.0.0.1...
Connected to 127.0.0.1.
Escape character is '^]'.
To get all values greater than B
, enter
get @>B
:
get @>B
VALUE C 0 21
CHENNAI|TAMIL NADU|IN
VALUE D 0 14
DELHI|DELHI|IN
VALUE H 0 22
HYDERABAD|TELANGANA|IN
VALUE M 0 21
MUMBAI|MAHARASHTRA|IN
END
To get all values less than M
, enter
get @<M
:
get @<M
VALUE B 0 22
BANGALORE|BANGALORE|IN
VALUE C 0 21
CHENNAI|TAMIL NADU|IN
VALUE D 0 14
DELHI|DELHI|IN
VALUE H 0 22
HYDERABAD|TELANGANA|IN
END
To get all values less than and including M
,
enter get @<=M
:
get @<=M
VALUE B 0 22
BANGALORE|BANGALORE|IN
VALUE C 0 21
CHENNAI|TAMIL NADU|IN
VALUE D 0 14
DELHI|DELHI|IN
VALUE H 0 22
HYDERABAD|TELANGANA|IN
VALUE M 0 21
MUMBAI|MAHARASHTRA|IN
To get values greater than B
but less than
M
, enter get @>B@<M
:
get @>B@<M
VALUE C 0 21
CHENNAI|TAMIL NADU|IN
VALUE D 0 14
DELHI|DELHI|IN
VALUE H 0 22
HYDERABAD|TELANGANA|IN
END
A maximum of two comparison operators can be parsed, one being
either a 'less than' (@<
) or 'less than or
equal to' (@<=
) operator, and the other
being either a 'greater than' (@>
) or
'greater than or equal to' (@>=
) operator.
Any additional operators are assumed to be part of the key. For
example, if you issue a get
command with three
operators, the third operator (@>C
) is
treated as part of the key, and the get
command
searches for values smaller than M
and greater
than B@>C
.
get @<M@>B@>C
VALUE C 0 21
CHENNAI|TAMIL NADU|IN
VALUE D 0 14
DELHI|DELHI|IN
VALUE H 0 22
HYDERABAD|TELANGANA|IN
Consult this section before deploying the
daemon_memcached
plugin on a production
server, or even on a test server if the MySQL instance contains
sensitive data.
Because memcached does not use an
authentication mechanism by default, and the optional SASL
authentication is not as strong as traditional DBMS security
measures, only keep non-sensitive data in the MySQL instance that
uses the daemon_memcached
plugin, and wall off
any servers that use this configuration from potential intruders.
Do not allow memcached access to these servers
from the Internet; only allow access from within a firewalled
intranet, ideally from a subnet whose membership you can restrict.
SASL support provides the capability to protect your MySQL
database from unauthenticated access through
memcached clients. This section explains how
to enable SASL with the daemon_memcached
plugin. The steps are almost identical to those performed to
enabled SASL for a traditional memcached
server.
SASL stands for “Simple Authentication and Security Layer”, a standard for adding authentication support to connection-based protocols. memcached added SASL support in version 1.4.3.
SASL authentication is only supported with the binary protocol.
memcached clients are only able to access
InnoDB
tables that are registered in the
innodb_memcache.containers
table. Even
though a DBA can place access restrictions on such tables,
access through memcached applications cannot
be controlled. For this reason, SASL support is provided to
control access to InnoDB
tables associated
with the daemon_memcached
plugin.
The following section shows how to build, enable, and test an
SASL-enabled daemon_memcached
plugin.
By default, an SASL-enabled daemon_memcached
plugin is not included in MySQL release packages, since an
SASL-enabled daemon_memcached
plugin requires
building memcached with SASL libraries. To
enable SASL support, download the MySQL source and rebuild the
daemon_memcached
plugin after downloading the
SASL libraries:
Install the SASL development and utility libraries. For example, on Ubuntu, use apt-get to obtain the libraries:
sudo apt-get -f install libsasl2-2 sasl2-bin libsasl2-2 libsasl2-dev libsasl2-modules
Build the daemon_memcached
plugin shared
libraries with SASL capability by adding
ENABLE_MEMCACHED_SASL=1
to your
cmake options.
memcached also provides simple
cleartext password support, which facilitates
testing. To enable simple cleartext password support,
specify the ENABLE_MEMCACHED_SASL_PWDB=1
cmake option.
In summary, add following three cmake options:
cmake ... -DWITH_INNODB_MEMCACHED=1 -DENABLE_MEMCACHED_SASL=1 -DENABLE_MEMCACHED_SASL_PWDB=1
Install the daemon_memcached
plugin, as
described in Section 15.19.3, “Setting Up the InnoDB memcached Plugin”.
Configure a user name and password file. (This example uses memcached simple cleartext password support.)
In a file, create a user named
testname
and define the password as
testpasswd
:
echo "testname:testpasswd:::::::" >/home/jy/memcached-sasl-db
Configure the MEMCACHED_SASL_PWDB
environment variable to inform
memcached
of the user name and
password file:
export MEMCACHED_SASL_PWDB=/home/jy/memcached-sasl-db
Inform memcached
that a cleartext
password is used:
echo "mech_list: plain" > /home/jy/work2/msasl/clients/memcached.conf export SASL_CONF_PATH=/home/jy/work2/msasl/clients
Enable SASL by restarting the MySQL server with the
memcached -S
option
encoded in the
daemon_memcached_option
configuration parameter:
mysqld ... --daemon_memcached_option="-S"
To test the setup, use an SASL-enabled client such as SASL-enabled libmemcached.
memcp --servers=localhost:11211 --binary --username=testname --password=password
myfile.txt memcat --servers=localhost:11211 --binary --username=testname --password=password
myfile.txt
If you specify an incorrect user name or password, the
operation is rejected with a memcache error
AUTHENTICATION FAILURE
message. In this case,
examine the cleartext password set in the
memcached-sasl-db
file to verify that
the credentials you supplied are correct.
There are other methods to test SASL authentication with memcached, but the method described above is the most straightforward.
Typically, writing an application for the
InnoDB
memcached plugin
involves some degree of rewriting or adapting existing code that
uses MySQL or the memcached API.
With the daemon_memcached
plugin, instead
of many traditional memcached servers
running on low-powered machines, you have the same number of
memcached servers as MySQL servers, running
on relatively high-powered machines with substantial disk
storage and memory. You might reuse some existing code that
works with the memcached API, but
adaptation is likely required due to the different server
configuration.
The data stored through the
daemon_memcached
plugin goes into
VARCHAR
,
TEXT
, or
BLOB
columns, and must be
converted to do numeric operations. You can perform the
conversion on the application side, or by using the
CAST()
function in queries.
Coming from a database background, you might be used to general-purpose SQL tables with many columns. The tables accessed by memcached code likely have only a few or even a single column holding data values.
You might adapt parts of your application that perform
single-row queries, inserts, updates, or deletes, to improve
performance in critical sections of code. Both
queries (read) and
DML (write) operations can be
substantially faster when performed through the
InnoDB
memcached
interface. The performance improvement for writes is typically
greater than the performance improvement for reads, so you
might focus on adapting code that performs logging or records
interactive choices on a website.
The following sections explore these points in more detail.
Consider these aspects of memcached
applications when adapting an existing MySQL schema or
application to use the daemon_memcached
plugin:
memcached keys cannot contain spaces or
newlines, because these characters are used as separators in
the ASCII protocol. If you are using lookup values that
contain spaces, transform or hash them into values without
spaces before using them as keys in calls to
add()
, set()
,
get()
, and so on. Although theoretically
these characters are allowed in keys in programs that use
the binary protocol, you should restrict the characters used
in keys to ensure compatibility with a broad range of
clients.
If there is a short numeric
primary key column
in an InnoDB
table, use it as the unique
lookup key for memcached by converting
the integer to a string value. If the
memcached server is used for multiple
applications, or with more than one
InnoDB
table, consider modifying the name
to ensure that it is unique. For example, prepend the table
name, or the database name and the table name, before the
numeric value.
The daemon_memcached
plugin supports
inserts and reads on mapped InnoDB
tables that have an INTEGER
defined as
the primary key.
You cannot use a partitioned table for data queried or stored using memcached.
The memcached protocol passes numeric
values around as strings. To store numeric values in the
underlying InnoDB
table, to implement
counters that can be used in SQL functions such as
SUM()
or AVG()
, for
example:
Use VARCHAR
columns with
enough characters to hold all the digits of the largest
expected number (and additional characters if
appropriate for the negative sign, decimal point, or
both).
In any query that performs arithmetic using column
values, use the CAST()
function to
convert the values from string to integer, or to some
other numeric type. For example:
# Alphabetic entries are returned as zero. SELECT CAST(c2 as unsigned integer) FROM demo_test; # Since there could be numeric values of 0, can't disqualify them. # Test the string values to find the ones that are integers, and average only those. SELECT AVG(cast(c2 as unsigned integer)) FROM demo_test WHERE c2 BETWEEN '0' and '9999999999'; # Views let you hide the complexity of queries. The results are already converted; # no need to repeat conversion functions and WHERE clauses each time. CREATE VIEW numbers AS SELECT c1 KEY, CAST(c2 AS UNSIGNED INTEGER) val FROM demo_test WHERE c2 BETWEEN '0' and '9999999999'; SELECT SUM(val) FROM numbers;
Any alphabetic values in the result set are converted
into 0 by the call to CAST()
. When
using functions such as AVG()
,
which depend on the number of rows in the result set,
include WHERE
clauses to filter out
non-numeric values.
If the InnoDB
column used as a key could
have values longer than 250 bytes, hash the value to less
than 250 bytes.
To use an existing table with the
daemon_memcached
plugin, define an entry
for it in the innodb_memcache.containers
table. To make that table the default for all
memcached requests, specify a value of
default
in the name
column, then restart the MySQL server to make the change
take effect. If you use multiple tables for different
classes of memcached data, set up
multiple entries in the
innodb_memcache.containers
table with
name
values of your choice, then issue a
memcached request in the form of
get @@
or
name
set @@
within the application to specify the table to be used for
subsequent memcached requests.
name
For an example of using a table other than the predefined
test.demo_test
table, see
Example 15.13, “Using Your Own Table with an InnoDB memcached Application”. For the
required table layout, see
Section 15.19.8, “InnoDB memcached Plugin Internals”.
To use multiple InnoDB
table column
values with memcached key-value pairs,
specify column names separated by comma, semicolon, space,
or pipe characters in the value_columns
field of the innodb_memcache.containers
entry for the InnoDB
table. For example,
specify col1,col2,col3
or
col1|col2|col3
in the
value_columns
field.
Concatenate the column values into a single string using the
pipe character as a separator before passing the string to
memcached add
or
set
calls. The string is unpacked
automatically into the correct column. Each
get
call returns a single string
containing the column values that is also delimited by the
pipe character. You can unpack the values using the
appropriate application language syntax.
Example 15.13 Using Your Own Table with an InnoDB memcached Application
This example shows how to use your own table with a sample
Python application that uses memcached
for
data manipulation.
The example assumes that the
daemon_memcached
plugin is installed as
described in Section 15.19.3, “Setting Up the InnoDB memcached Plugin”. It also
assumes that your system is configured to run a Python script
that uses the python-memcache
module.
Create the multicol
table which stores
country information including population, area, and driver
side data ('R'
for right and
'L'
for left).
mysql>USE test;
mysql>CREATE TABLE `multicol` (
`country` varchar(128) NOT NULL DEFAULT '',
`population` varchar(10) DEFAULT NULL,
`area_sq_km` varchar(9) DEFAULT NULL,
`drive_side` varchar(1) DEFAULT NULL,
`c3` int(11) DEFAULT NULL,
`c4` bigint(20) unsigned DEFAULT NULL,
`c5` int(11) DEFAULT NULL,
PRIMARY KEY (`country`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
Insert a record into the
innodb_memcache.containers
table so
that the daemon_memcached
plugin can
access the multicol
table.
mysql>INSERT INTO innodb_memcache.containers
(name,db_schema,db_table,key_columns,value_columns,flags,cas_column,
expire_time_column,unique_idx_name_on_key)
VALUES
('bbb','test','multicol','country','population,area_sq_km,drive_side',
'c3','c4','c5','PRIMARY');
mysql>COMMIT;
The innodb_memcache.containers
record for the multicol
table
specifies a name
value of
'bbb'
, which is the table
identifier.
If a single InnoDB
table is used
for all memcached applications,
the name
value can be set to
default
to avoid using
@@
notation to switch tables.
The db_schema
column is set to
test
, which is the name of the
database where the multicol
table
resides.
The db_table
column is set to
multicol
, which is the name of the
InnoDB
table.
key_columns
is set to the unique
country
column. The
country
column is defined as the
primary key in the multicol
table
definition.
Rather than a single InnoDB
table
column to hold a composite data value, data is divided
among three table columns
(population
,
area_sq_km
, and
drive_side
). To accommodate
multiple value columns, a comma-separated list of
columns is specified in the
value_columns
field. The columns
defined in the value_columns
field
are the columns used when storing or retrieving
values.
Values for the flags
,
expire_time
, and
cas_column
fields are based on
values used in the demo.test
sample
table. These fields are typically not significant in
applications that use the
daemon_memcached
plugin because
MySQL keeps data synchronized, and there is no need to
worry about data expiring or becoming stale.
The unique_idx_name_on_key
field is
set to PRIMARY
, which refers to the
primary index defined on the unique
country
column in the
multicol
table.
Copy the sample Python application into a file. In this
example, the sample script is copied to a file named
multicol.py
.
The sample Python application inserts data into the
multicol
table and retrieves data for
all keys, demonstrating how to access an
InnoDB
table through the
daemon_memcached
plugin.
import sys, os import memcache def connect_to_memcached(): memc = memcache.Client(['127.0.0.1:11211'], debug=0); print "Connected to memcached." return memc def banner(message): print print "=" * len(message) print message print "=" * len(message) country_data = [ ("Canada","34820000","9984670","R"), ("USA","314242000","9826675","R"), ("Ireland","6399152","84421","L"), ("UK","62262000","243610","L"), ("Mexico","113910608","1972550","R"), ("Denmark","5543453","43094","R"), ("Norway","5002942","385252","R"), ("UAE","8264070","83600","R"), ("India","1210193422","3287263","L"), ("China","1347350000","9640821","R"), ] def switch_table(memc,table): key = "@@" + table print "Switching default table to '" + table + "' by issuing GET for '" + key + "'." result = memc.get(key) def insert_country_data(memc): banner("Inserting initial data via memcached interface") for item in country_data: country = item[0] population = item[1] area = item[2] drive_side = item[3] key = country value = "|".join([population,area,drive_side]) print "Key = " + key print "Value = " + value if memc.add(key,value): print "Added new key, value pair." else: print "Updating value for existing key." memc.set(key,value) def query_country_data(memc): banner("Retrieving data for all keys (country names)") for item in country_data: key = item[0] result = memc.get(key) print "Here is the result retrieved from the database for key " + key + ":" print result (m_population, m_area, m_drive_side) = result.split("|") print "Unpacked population value: " + m_population print "Unpacked area value : " + m_area print "Unpacked drive side value: " + m_drive_side if __name__ == '__main__': memc = connect_to_memcached() switch_table(memc,"bbb") insert_country_data(memc) query_country_data(memc) sys.exit(0)
Sample Python application notes:
No database authorization is required to run the application, since data manipulation is performed through the memcached interface. The only required information is the port number on the local system where the memcached daemon listens.
To make sure the application uses the
multicol
table, the
switch_table()
function is called,
which performs a dummy get
or
set
request using
@@
notation. The
name
value in the request is
bbb
, which is the
multicol
table identifier defined
in the
innodb_memcache.containers.name
field.
A more descriptive name
value might
be used in a real-world application. This example
simply illustrates that a table identifier is
specified rather than the table name in get
@@...
requests.
The utility functions used to insert and query data
demonstrate how to turn a Python data structure into
pipe-separated values for sending data to MySQL with
add
or set
requests, and how to unpack the pipe-separated values
returned by get
requests. This
extra processing is only required when mapping a
single memcached value to multiple
MySQL table columns.
Run the sample Python application.
shell> python multicol.py
If successful, the sample application returns this output:
Connected to memcached. Switching default table to 'bbb' by issuing GET for '@@bbb'. ============================================== Inserting initial data via memcached interface ============================================== Key = Canada Value = 34820000|9984670|R Added new key, value pair. Key = USA Value = 314242000|9826675|R Added new key, value pair. Key = Ireland Value = 6399152|84421|L Added new key, value pair. Key = UK Value = 62262000|243610|L Added new key, value pair. Key = Mexico Value = 113910608|1972550|R Added new key, value pair. Key = Denmark Value = 5543453|43094|R Added new key, value pair. Key = Norway Value = 5002942|385252|R Added new key, value pair. Key = UAE Value = 8264070|83600|R Added new key, value pair. Key = India Value = 1210193422|3287263|L Added new key, value pair. Key = China Value = 1347350000|9640821|R Added new key, value pair. ============================================ Retrieving data for all keys (country names) ============================================ Here is the result retrieved from the database for key Canada: 34820000|9984670|R Unpacked population value: 34820000 Unpacked area value : 9984670 Unpacked drive side value: R Here is the result retrieved from the database for key USA: 314242000|9826675|R Unpacked population value: 314242000 Unpacked area value : 9826675 Unpacked drive side value: R Here is the result retrieved from the database for key Ireland: 6399152|84421|L Unpacked population value: 6399152 Unpacked area value : 84421 Unpacked drive side value: L Here is the result retrieved from the database for key UK: 62262000|243610|L Unpacked population value: 62262000 Unpacked area value : 243610 Unpacked drive side value: L Here is the result retrieved from the database for key Mexico: 113910608|1972550|R Unpacked population value: 113910608 Unpacked area value : 1972550 Unpacked drive side value: R Here is the result retrieved from the database for key Denmark: 5543453|43094|R Unpacked population value: 5543453 Unpacked area value : 43094 Unpacked drive side value: R Here is the result retrieved from the database for key Norway: 5002942|385252|R Unpacked population value: 5002942 Unpacked area value : 385252 Unpacked drive side value: R Here is the result retrieved from the database for key UAE: 8264070|83600|R Unpacked population value: 8264070 Unpacked area value : 83600 Unpacked drive side value: R Here is the result retrieved from the database for key India: 1210193422|3287263|L Unpacked population value: 1210193422 Unpacked area value : 3287263 Unpacked drive side value: L Here is the result retrieved from the database for key China: 1347350000|9640821|R Unpacked population value: 1347350000 Unpacked area value : 9640821 Unpacked drive side value: R
Query the innodb_memcache.containers
table to view the record you inserted earlier for the
multicol
table. The first record is the
sample entry for the demo_test
table
that is created during the initial
daemon_memcached
plugin setup. The
second record is the entry you inserted for the
multicol
table.
mysql> SELECT * FROM innodb_memcache.containers\G
*************************** 1. row ***************************
name: aaa
db_schema: test
db_table: demo_test
key_columns: c1
value_columns: c2
flags: c3
cas_column: c4
expire_time_column: c5
unique_idx_name_on_key: PRIMARY
*************************** 2. row ***************************
name: bbb
db_schema: test
db_table: multicol
key_columns: country
value_columns: population,area_sq_km,drive_side
flags: c3
cas_column: c4
expire_time_column: c5
unique_idx_name_on_key: PRIMARY
Query the multicol
table to view data
inserted by the sample Python application. The data is
available for MySQL
queries, which
demonstrates how the same data can be accessed using SQL
or through applications (using the appropriate
MySQL Connector or
API).
mysql> SELECT * FROM test.multicol;
+---------+------------+------------+------------+------+------+------+
| country | population | area_sq_km | drive_side | c3 | c4 | c5 |
+---------+------------+------------+------------+------+------+------+
| Canada | 34820000 | 9984670 | R | 0 | 11 | 0 |
| China | 1347350000 | 9640821 | R | 0 | 20 | 0 |
| Denmark | 5543453 | 43094 | R | 0 | 16 | 0 |
| India | 1210193422 | 3287263 | L | 0 | 19 | 0 |
| Ireland | 6399152 | 84421 | L | 0 | 13 | 0 |
| Mexico | 113910608 | 1972550 | R | 0 | 15 | 0 |
| Norway | 5002942 | 385252 | R | 0 | 17 | 0 |
| UAE | 8264070 | 83600 | R | 0 | 18 | 0 |
| UK | 62262000 | 243610 | L | 0 | 14 | 0 |
| USA | 314242000 | 9826675 | R | 0 | 12 | 0 |
+---------+------------+------------+------------+------+------+------+
Always allow sufficient size to hold necessary digits,
decimal points, sign characters, leading zeros, and so
on when defining the length for columns that are treated
as numbers. Too-long values in a string column such as a
VARCHAR
are truncated by removing
some characters, which could produce nonsensical numeric
values.
Optionally, run report-type queries on the
InnoDB
table that stores the
memcached data.
You can produce reports through SQL queries, performing
calculations and tests across any columns, not just the
country
key column. (Because the
following examples use data from only a few countries, the
numbers are for illustration purposes only.) The following
queries return the average population of countries where
people drive on the right, and the average size of
countries whose names start with “U”:
mysql>SELECT AVG(population) FROM multicol WHERE drive_side = 'R';
+-------------------+ | avg(population) | +-------------------+ | 261304724.7142857 | +-------------------+ mysql>SELECT SUM(area_sq_km) FROM multicol WHERE country LIKE 'U%';
+-----------------+ | sum(area_sq_km) | +-----------------+ | 10153885 | +-----------------+
Because the population
and
area_sq_km
columns store character data
rather than strongly typed numeric data, functions such as
AVG()
and SUM()
work
by converting each value to a number first. This approach
does not work for operators such as
<
or >
, for
example, when comparing character-based values, 9
> 1000
, which is not expected from a clause
such as ORDER BY population DESC
. For
the most accurate type treatment, perform queries against
views that cast numeric columns to the appropriate types.
This technique lets you issue simple SELECT
*
queries from database applications, while
ensuring that casting, filtering, and ordering is correct.
The following example shows a view that can be queried to
find the top three countries in descending order of
population, with the results reflecting the latest data in
the multicol
table, and with population
and area figures treated as numbers:
mysql>CREATE VIEW populous_countries AS
SELECT
country,
cast(population as unsigned integer) population,
cast(area_sq_km as unsigned integer) area_sq_km,
drive_side FROM multicol
ORDER BY CAST(population as unsigned integer) DESC
LIMIT 3;
mysql>SELECT * FROM populous_countries;
+---------+------------+------------+------------+ | country | population | area_sq_km | drive_side | +---------+------------+------------+------------+ | China | 1347350000 | 9640821 | R | | India | 1210193422 | 3287263 | L | | USA | 314242000 | 9826675 | R | +---------+------------+------------+------------+ mysql>DESC populous_countries;
+------------+---------------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +------------+---------------------+------+-----+---------+-------+ | country | varchar(128) | NO | | | | | population | bigint(10) unsigned | YES | | NULL | | | area_sq_km | int(9) unsigned | YES | | NULL | | | drive_side | varchar(1) | YES | | NULL | | +------------+---------------------+------+-----+---------+-------+
Consider these aspects of MySQL and InnoDB
tables when adapting existing memcached
applications to use the daemon_memcached
plugin:
If there are key values longer than a few bytes, it may be
more efficient to use a numeric auto-increment column as the
primary key of the
InnoDB
table, and to create a unique
secondary index
on the column that contains the memcached
key values. This is because InnoDB
performs best for large-scale insertions if primary key
values are added in sorted order (as they are with
auto-increment values). Primary key values are included in
secondary indexes, which takes up unnecessary space if the
primary key is a long string value.
If you store several different classes of information using
memcached, consider setting up a separate
InnoDB
table for each type of data.
Define additional table identifiers in the
innodb_memcache.containers
table, and use
the
@@
notation to store and retrieve items from different tables.
Physically dividing different types of information allows
you tune the characteristics of each table for optimum space
utilization, performance, and reliability. For example, you
might enable
compression for a
table that holds blog posts, but not for a table that holds
thumbnail images. You might back up one table more
frequently than another because it holds critical data. You
might create additional
secondary
indexes on tables that are frequently used to
generate reports using SQL.
table_id
.key
Preferably, configure a stable set of table definitions for
use with the daemon_memcached plugin, and
leave the tables in place permanently. Changes to the
innodb_memcache.containers
table take
effect the next time the
innodb_memcache.containers
table is
queried. Entries in the containers table are processed at
startup, and are consulted whenever an unrecognized table
identifier (as defined by
containers.name
) is requested using
@@
notation. Thus, new entries are
visible as soon as you use the associated table identifier,
but changes to existing entries require a server restart
before they take effect.
When you use the default innodb_only
caching policy, calls to add()
,
set()
, incr()
, and so
on can succeed but still trigger debugging messages such as
while expecting 'STORED', got unexpected response
'NOT_STORED
. Debug messages occur because new and
updated values are sent directly to the
InnoDB
table without being saved in the
memory cache, due to the innodb_only
caching policy.
Because using InnoDB
in combination with
memcached involves writing all data to disk,
whether immediately or sometime later, raw performance is
expected to be somewhat slower than using
memcached by itself. When using the
InnoDB
memcached plugin,
focus tuning goals for memcached operations
on achieving better performance than equivalent SQL operations.
Benchmarks suggest that queries and DML operations (inserts, updates, and deletes) that use the memcached interface are faster than traditional SQL. DML operations typically see a larger improvements. Therefore, consider adapting write-intensive applications to use the memcached interface first. Also consider prioritizing adaptation of write-intensive applications that use fast, lightweight mechanisms that lack reliability.
The types of queries that are most suited to simple
GET
requests are those with a single clause
or a set of AND
conditions in the
WHERE
clause:
SQL: SELECT col FROM tbl WHERE key = 'key_value'; memcached: get key_value SQL: SELECT col FROM tbl WHERE col1 = val1 and col2 = val2 and col3 = val3; memcached: # Since you must always know these 3 values to look up the key, # combine them into a unique string and use that as the key # for all ADD, SET, and GET operations. key_value = val1 + ":" + val2 + ":" + val3 get key_value SQL: SELECT 'key exists!' FROM tbl WHERE EXISTS (SELECT col1 FROM tbl WHERE KEY = 'key_value') LIMIT 1; memcached: # Test for existence of key by asking for its value and checking if the call succeeds, # ignoring the value itself. For existence checking, you typically only store a very # short value such as "1". get key_value
For best performance, deploy the
daemon_memcached
plugin on machines that are
configured as typical database servers, where the majority of
system RAM is devoted to the InnoDB
buffer pool, through the
innodb_buffer_pool_size
configuration option. For systems with multi-gigabyte buffer
pools, consider raising the value of
innodb_buffer_pool_instances
for maximum throughput when most operations involve data that is
already cached in memory.
InnoDB
has a number of settings that let you
choose the balance between high reliability, in case of a crash,
and the amount of I/O overhead during high write workloads. For
example, consider setting the
innodb_doublewrite
to
0
and
innodb_flush_log_at_trx_commit
to 2
. Measure performance with different
innodb_flush_method
settings.
For other ways to reduce or tune I/O for table operations, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.
A default value of 1 for
daemon_memcached_r_batch_size
and
daemon_memcached_w_batch_size
is intended for maximum reliability of results and safety of
stored or updated data.
Depending on the type of application, you might increase one or
both of these settings to reduce the overhead of frequent
commit operations. On a busy
system, you might increase
daemon_memcached_r_batch_size
,
knowing that changes to data made through SQL may not become
visible to memcached immediately (that is,
until N
more get
operations are processed). When processing data where every
write operation must be reliably stored, leave
daemon_memcached_w_batch_size
set to 1
. Increase the setting when
processing large numbers of updates intended only for
statistical analysis, where losing the last
N
updates in a crash is an acceptable
risk.
For example, imagine a system that monitors traffic crossing a
busy bridge, recording data for approximately 100,000 vehicles
each day. If the application counts different types of vehicles
to analyze traffic patterns, changing
daemon_memcached_w_batch_size
from 1
to 100
reduces I/O
overhead for commit operations by 99%. In case of an outage, a
maximum of 100 records are lost, which may be an acceptable
margin of error. If instead the application performed automated
toll collection for each car, you would set
daemon_memcached_w_batch_size
to 1
to ensure that each toll record is
immediately saved to disk.
Because of the way InnoDB
organizes
memcached key values on disk, if you have a
large number of keys to create, it may be faster to sort the
data items by key value in the application and
add
them in sorted order, rather than create
keys in arbitrary order.
The memslap command, which is part of the
regular memcached distribution but not
included with the daemon_memcached
plugin,
can be useful for benchmarking different configurations. It can
also be used to generate sample key-value pairs to use in your
own benchmarks. See
libmemcached Command-Line Utilities
for details.
Unlike traditional memcached, the
daemon_memcached
plugin allows you to control
durability of data values produced through calls to
add
, set
,
incr
, and so on. By default, data written
through the memcached interface is stored to
disk, and calls to get
return the most recent
value from disk. Although the default behavior does not offer
the best possible raw performance, it is still fast compared to
the SQL interface for InnoDB
tables.
As you gain experience using the
daemon_memcached
plugin, you can consider
relaxing durability settings for non-critical classes of data,
at the risk of losing some updated values in the event of an
outage, or returning data that is slightly out-of-date.
One tradeoff between durability and raw performance is how frequently new and changed data is committed. If data is critical, is should be committed immediately so that it is safe in case of a crash or outage. If data is less critical, such as counters that are reset after a crash or logging data that you can afford to lose, you might prefer higher raw throughput that is available with less frequent commits.
When a memcached operation inserts, updates,
or deletes data in the underlying InnoDB
table, the change might be committed to the
InnoDB
table instantly (if
daemon_memcached_w_batch_size=1
)
or some time later (if the
daemon_memcached_w_batch_size
value is greater than 1). In either case, the change cannot be
rolled back. If you increase the value of
daemon_memcached_w_batch_size
to avoid high I/O overhead during busy times, commits could
become infrequent when the workload decreases. As a safety
measure, a background thread automatically commits changes made
through the memcached API at regular
intervals. The interval is controlled by the
innodb_api_bk_commit_interval
configuration option, which has a default setting of
5
seconds.
When a memcached operation inserts or updates
data in the underlying InnoDB
table, the
changed data is immediately visible to other
memcached requests because the new value
remains in the memory cache, even if it is not yet committed on
the MySQL side.
When a memcached operation such as
get
or incr
causes a query
or DML operation on the underlying InnoDB
table, you can control whether the operation sees the very
latest data written to the table, only data that has been
committed, or other variations of transaction
isolation level. Use
the innodb_api_trx_level
configuration option to control this feature. The numeric values
specified for this option correspond to isolation levels such as
REPEATABLE READ
. See the
description of the
innodb_api_trx_level
option for
information about other settings.
A strict isolation level ensures that data you retrieve is not rolled back or changed suddenly causing subsequent queries to return different values. However, strict isolation levels require greater locking overhead, which can cause waits. For a NoSQL-style application that does not use long-running transactions, you can typically use the default isolation level or switch to a less strict isolation level.
The innodb_api_disable_rowlock
option can be used to disable row locks when
memcached requests through the
daemon_memcached
plugin cause DML operations.
By default, innodb_api_disable_rowlock
is set
to OFF
which means that
memcached requests row locks for
get
and set
operations.
When innodb_api_disable_rowlock
is set to
ON
, memcached requests a
table lock instead of row locks.
The innodb_api_disable_rowlock
option is not
dynamic. It must be specified at startup on the
mysqld command line or entered in a MySQL
configuration file.
By default, you can perform DDL
operations such as ALTER TABLE
on
tables used by the daemon_memcached
plugin.
To avoid potential slowdowns when these tables are used for
high-throughput applications, disable DDL operations on these
tables by enabling
innodb_api_enable_mdl
at
startup. This option is less appropriate when accessing the same
tables through both memcached and SQL,
because it blocks CREATE INDEX
statements on the tables, which could be important for running
reporting queries.
The innodb_memcache.cache_policies
table
specifies whether to store data written through the
memcached interface to disk
(innodb_only
, the default); in memory only,
as with traditional memcached
(cache-only
); or both
(caching
).
With the caching
setting, if
memcached cannot find a key in memory, it
searches for the value in an InnoDB
table.
Values returned from get
calls under the
caching
setting could be out-of-date if the
values were updated on disk in the InnoDB
table but are not yet expired from the memory cache.
The caching policy can be set independently for
get
, set
(including
incr
and decr
),
delete
, and flush
operations.
For example, you might allow get
and
set
operations to query or update a table and
the memcached memory cache at the same time
(using the caching
setting), while making
delete
, flush
, or both
operate only on the in-memory copy (using the
cache_only
setting). That way, deleting or
flushing an item only expires the item from the cache, and the
latest value is returned from the InnoDB
table the next time the item is requested.
mysql>SELECT * FROM innodb_memcache.cache_policies;
+--------------+-------------+-------------+---------------+--------------+ | policy_name | get_policy | set_policy | delete_policy | flush_policy | +--------------+-------------+-------------+---------------+--------------+ | cache_policy | innodb_only | innodb_only | innodb_only | innodb_only | +--------------+-------------+-------------+---------------+--------------+ mysql>UPDATE innodb_memcache.cache_policies SET set_policy = 'caching'
WHERE policy_name = 'cache_policy';
innodb_memcache.cache_policies
values are
only read at startup. After changing values in this table,
uninstall and reinstall the daemon_memcached
plugin to ensure that changes take effect.
mysql>UNINSTALL PLUGIN daemon_memcached;
mysql>INSTALL PLUGIN daemon_memcached soname "libmemcached.so";
Benchmarks suggest that the daemon_memcached
plugin speeds up DML operations
(inserts, updates, and deletes) more than it speeds up queries.
Therefore, consider focussing initial development efforts on
write-intensive applications that are I/O-bound, and look for
opportunities to use MySQL with the
daemon_memcached
plugin for new
write-intensive applications.
Single-row DML statements are the easiest types of statements to
turn into memcached
operations.
INSERT
becomes add
,
UPDATE
becomes set
,
incr
or decr
, and
DELETE
becomes delete
.
These operations are guaranteed to only affect one row when
issued through the memcached interface,
because the key
is unique within the
table.
In the following SQL examples, t1
refers to
the table used for memcached operations,
based on the configuration in the
innodb_memcache.containers
table.
key
refers to the column listed under
key_columns
, and val
refers to the column listed under
value_columns
.
INSERT INTO t1 (key,val) VALUES (some_key
,some_value
); SELECT val FROM t1 WHERE key =some_key
; UPDATE t1 SET val =new_value
WHERE key =some_key
; UPDATE t1 SET val = val + x WHERE key =some_key
; DELETE FROM t1 WHERE key =some_key
;
The following TRUNCATE TABLE
and
DELETE
statements, which remove
all rows from the table, correspond to the
flush_all
operation, where
t1
is configured as the table for
memcached operations, as in the previous
example.
TRUNCATE TABLE t1; DELETE FROM t1;
You can access the underlying InnoDB
table
(which is test.demo_test
by default) through
standard SQL interfaces. However, there are some restrictions:
When querying a table that is also accessed through the
memcached interface, remember that
memcached operations can be configured to
be committed periodically rather than after every write
operation. This behavior is controlled by the
daemon_memcached_w_batch_size
option. If this option is set to a value greater than
1
, use READ
UNCOMMITTED
queries to find rows that were just
inserted.
mysql>SET SESSSION TRANSACTION ISOLATION LEVEL READ UNCOMMITTED;
mysql>SELECT * FROM demo_test;
+------+------+------+------+-----------+------+------+------+------+------+------+ | cx | cy | c1 | cz | c2 | ca | CB | c3 | cu | c4 | C5 | +------+------+------+------+-----------+------+------+------+------+------+------+ | NULL | NULL | a11 | NULL | 123456789 | NULL | NULL | 10 | NULL | 3 | NULL | +------+------+------+------+-----------+------+------+------+------+------+------+
When modifying a table using SQL that is also accessed
through the memcached interface, you can
configure memcached operations to start a
new transaction periodically rather than for every read
operation. This behavior is controlled by the
daemon_memcached_r_batch_size
option. If this option is set to a value greater than
1
, changes made to the table using SQL
are not immediately visible to memcached
operations.
The InnoDB
table is either IS (intention
shared) or IX (intention exclusive) locked for all
operations in a transaction. If you increase
daemon_memcached_r_batch_size
and
daemon_memcached_w_batch_size
substantially from their default value of
1
, the table is most likely locked
between each operation, preventing
DDL statements on the table.
Because the daemon_memcached
plugin supports
the MySQL binary log,
updates made on a master
server through the memcached interface
can be replicated for backup, balancing intensive read workloads,
and high availability. All memcached commands
are supported with binary logging.
You do not need to set up the daemon_memcached
plugin on slave servers.
The primary advantage of this configuration is increased write
throughput on the master. The speed of the replication mechanism
is not affected.
The following sections show how to use the binary log capability
when using the daemon_memcached
plugin with
MySQL replication. It is assumed that you have completed the setup
described in Section 15.19.3, “Setting Up the InnoDB memcached Plugin”.
To use the daemon_memcached
plugin with
the MySQL binary log,
enable the
innodb_api_enable_binlog
configuration option on the
master server.
This option can only be set at server startup. You must also
enable the MySQL binary log on the master server using the
--log-bin
option. You can
add these options to the MySQL configuration file, or on the
mysqld command line.
mysqld ... --log-bin -–innodb_api_enable_binlog=1
Configure the master and slave server, as described in Section 17.1.2, “Setting Up Binary Log File Position Based Replication”.
Use mysqldump to create a master data snapshot, and sync the snapshot to the slave server.
master shell>mysqldump --all-databases --lock-all-tables > dbdump.db
slave shell>mysql < dbdump.db
On the master server, issue SHOW MASTER
STATUS
to obtain the master binary log
coordinates.
mysql> SHOW MASTER STATUS;
On the slave server, use a CHANGE
MASTER TO
statement to set up a slave server using
the master binary log coordinates.
mysql>CHANGE MASTER TO
MASTER_HOST='localhost',
MASTER_USER='root',
MASTER_PASSWORD='',
MASTER_PORT = 13000,
MASTER_LOG_FILE='0.000001,
MASTER_LOG_POS=114;
Start the slave.
mysql> START SLAVE;
If the error log prints output similar to the following, the slave is ready for replication.
2013-09-24T13:04:38.639684Z 49 [Note] Slave I/O thread: connected to master 'root@localhost:13000', replication started in log '0.000001' at position 114
This example demonstrates how to test the
InnoDB
memcached
replication configuration using the memcached
and telnet to insert, update, and delete data. A MySQL client is
used to verify results on the master and slave servers.
The example uses the demo_test
table, which
was created by the
innodb_memcached_config.sql
configuration
script during the initial setup of the
daemon_memcached
plugin. The
demo_test
table contains a single example
record.
Use the set
command to insert a record
with a key of test1
, a flag value of
10
, an expiration value of
0
, a cas value of 1, and a value of
t1
.
telnet 127.0.0.1 11211
Trying 127.0.0.1... Connected to 127.0.0.1. Escape character is '^]'.set test1 10 0 1
t1
STORED
On the master server, check that the record was inserted
into the demo_test
table. Assuming the
demo_test
table was not previously
modified, there should be two records. The example record
with a key of AA
, and the record you just
inserted, with a key of test1
. The
c1
column maps to the key, the
c2
column to the value, the
c3
column to the flag value, the
c4
column to the cas value, and the
c5
column to the expiration time. The
expiration time was set to 0, since it is unused.
mysql> SELECT * FROM test.demo_test;
+-------+--------------+------+------+------+
| c1 | c2 | c3 | c4 | c5 |
+-------+--------------+------+------+------+
| AA | HELLO, HELLO | 8 | 0 | 0 |
| test1 | t1 | 10 | 1 | 0 |
+-------+--------------+------+------+------+
Check to verify that the same record was replicated to the slave server.
mysql> SELECT * FROM test.demo_test;
+-------+--------------+------+------+------+
| c1 | c2 | c3 | c4 | c5 |
+-------+--------------+------+------+------+
| AA | HELLO, HELLO | 8 | 0 | 0 |
| test1 | t1 | 10 | 1 | 0 |
+-------+--------------+------+------+------+
Use the set
command to update the key to
a value of new
.
telnet 127.0.0.1 11211
Trying 127.0.0.1... Connected to 127.0.0.1. Escape character is '^]'.set test1 10 0 2
new
STORED
The update is replicated to the slave server (notice that
the cas
value is also updated).
mysql> SELECT * FROM test.demo_test;
+-------+--------------+------+------+------+
| c1 | c2 | c3 | c4 | c5 |
+-------+--------------+------+------+------+
| AA | HELLO, HELLO | 8 | 0 | 0 |
| test1 | new | 10 | 2 | 0 |
+-------+--------------+------+------+------+
Delete the test1
record using a
delete
command.
telnet 127.0.0.1 11211
Trying 127.0.0.1... Connected to 127.0.0.1. Escape character is '^]'.delete test1
DELETED
When the delete
operation is replicated
to the slave, the test1
record on the
slave is also deleted.
mysql> SELECT * FROM test.demo_test;
+----+--------------+------+------+------+
| c1 | c2 | c3 | c4 | c5 |
+----+--------------+------+------+------+
| AA | HELLO, HELLO | 8 | 0 | 0 |
+----+--------------+------+------+------+
Remove all rows from the table using the
flush_all
command.
telnet 127.0.0.1 11211
Trying 127.0.0.1... Connected to 127.0.0.1. Escape character is '^]'.flush_all
OK
mysql> SELECT * FROM test.demo_test;
Empty set (0.00 sec)
Telnet to the master server and enter two new records.
telnet 127.0.0.1 11211
Trying 127.0.0.1... Connected to 127.0.0.1. Escape character is '^]'set test2 10 0 4
again
STOREDset test3 10 0 5
again1
STORED
Confirm that the two records were replicated to the slave server.
mysql> SELECT * FROM test.demo_test;
+-------+--------------+------+------+------+
| c1 | c2 | c3 | c4 | c5 |
+-------+--------------+------+------+------+
| test2 | again | 10 | 4 | 0 |
| test3 | again1 | 10 | 5 | 0 |
+-------+--------------+------+------+------+
Remove all rows from the table using the
flush_all
command.
telnet 127.0.0.1 11211
Trying 127.0.0.1... Connected to 127.0.0.1. Escape character is '^]'.flush_all
OK
Check to ensure that the flush_all
operation was replicated on the slave server.
mysql> SELECT * FROM test.demo_test;
Empty set (0.00 sec)
Binary Log Format:
Most memcached operations are mapped to
DML statements (analogous to
insert, delete, update). Since there is no actual SQL
statement being processed by the MySQL server, all
memcached commands (except for
flush_all
) use Row-Based Replication
(RBR) logging, which is independent of any server
binlog_format
setting.
The memcached
flush_all
command is mapped to the
TRUNCATE TABLE
command in
MySQL 5.7 and earlier. Since
DDL commands can only use
statement-based logging, the flush_all
command is replicated by sending a
TRUNCATE TABLE
statement. In
MySQL 8.0 and later, flush_all
is mapped
to DELETE
but is still replicated by
sending a TRUNCATE TABLE
statement.
Transactions:
The concept of
transactions has not
typically been part of memcached
applications. For performance considerations,
daemon_memcached_r_batch_size
and
daemon_memcached_w_batch_size
are used to control the batch size for read and write
transactions. These settings do not affect replication. Each
SQL operation on the underlying InnoDB
table is replicated after successful completion.
The default value of
daemon_memcached_w_batch_size
is 1
, which means that each
memcached write operation is committed
immediately. This default setting incurs a certain amount of
performance overhead to avoid inconsistencies in the data
that is visible on the master and slave servers. The
replicated records are always available immediately on the
slave server. If you set
daemon_memcached_w_batch_size
to a value greater than 1
, records
inserted or updated through memcached are
not immediately visible on the master server; to view the
records on the master server before they are committed,
issue SET
TRANSACTION ISOLATION LEVEL READ UNCOMMITTED
.
The InnoDB
memcached
engine accesses InnoDB
through
InnoDB
APIs, most of which are directly
adopted from embedded InnoDB
.
InnoDB
API functions are passed to the
InnoDB
memcached engine as
callback functions. InnoDB
API functions
access the InnoDB
tables directly, and are
mostly DML operations with the exception of
TRUNCATE TABLE
.
memcached commands are implemented through
the InnoDB
memcached API.
The following table outlines how memcached
commands are mapped to DML or DDL operations.
Table 15.28 memcached Commands and Associated DML or DDL Operations
memcached Command | DML or DDL Operations |
---|---|
get |
a read/fetch command |
set |
a search followed by an INSERT or
UPDATE (depending on whether or not a
key exists) |
add |
a search followed by an INSERT or
UPDATE |
replace |
a search followed by an UPDATE |
append |
a search followed by an UPDATE (appends data to the
result before UPDATE ) |
prepend |
a search followed by an UPDATE (prepends data to the
result before UPDATE ) |
incr |
a search followed by an UPDATE |
decr |
a search followed by an UPDATE |
delete |
a search followed by a DELETE |
flush_all |
TRUNCATE TABLE (DDL) |
This section describes configuration tables used by the
daemon_memcached
plugin. The
cache_policies
table,
config_options
table, and
containers
table are created by the
innodb_memcached_config.sql
configuration
script in the innodb_memcache
database.
mysql>USE innodb_memcache;
Database changed mysql>SHOW TABLES;
+---------------------------+ | Tables_in_innodb_memcache | +---------------------------+ | cache_policies | | config_options | | containers | +---------------------------+
The cache_policies
table defines a cache
policy for the InnoDB
memcached
installation. You can specify
individual policies for get
,
set
, delete
, and
flush
operations, within a single cache
policy. The default setting for all operations is
innodb_only
.
innodb_only
: Use
InnoDB
as the data store.
cache-only
: Use the
memcached engine as the data store.
caching
: Use both
InnoDB
and the
memcached engine as data stores. In this
case, if memcached cannot find a key in
memory, it searches for the value in an
InnoDB
table.
disable
: Disable caching.
Table 15.29 cache_policies Columns
Column | Description |
---|---|
policy_name |
Name of the cache policy. The default cache policy name is
cache_policy . |
get_policy |
The cache policy for get operations. Valid values are
innodb_only ,
cache-only , caching ,
or disabled . The default setting is
innodb_only . |
set_policy |
The cache policy for set operations. Valid values are
innodb_only ,
cache-only , caching ,
or disabled . The default setting is
innodb_only . |
delete_policy |
The cache policy for delete operations. Valid values are
innodb_only ,
cache-only , caching ,
or disabled . The default setting is
innodb_only . |
flush_policy |
The cache policy for flush operations. Valid values are
innodb_only ,
cache-only , caching ,
or disabled . The default setting is
innodb_only . |
The config_options
table stores
memcached-related settings that can be
changed at runtime using SQL. Supported configuration options
are separator
and
table_map_delimiter
.
Table 15.30 config_options Columns
Column | Description |
---|---|
Name |
Name of the memcached-related configuration option.
The following configuration options are supported by the
config_options table:
|
Value |
The value assigned to the memcached-related configuration option. |
The containers
table is the most important of
the three configuration tables. Each InnoDB
table that is used to store memcached values
must have an entry in the containers
table.
The entry provides a mapping between InnoDB
table columns and container table columns, which is required for
memcached
to work with
InnoDB
tables.
The containers
table contains a default entry
for the test.demo_test
table, which is
created by the innodb_memcached_config.sql
configuration script. To use the
daemon_memcached
plugin with your own
InnoDB
table, you must create an entry in the
containers
table.
Table 15.31 containers Columns
Column | Description |
---|---|
name |
The name given to the container. If an InnoDB table
is not requested by name using @@
notation, the daemon_memcached plugin
uses the InnoDB table with a
containers.name value of
default . If there is no such entry, the
first entry in the containers table,
ordered alphabetically by name
(ascending), determines the default
InnoDB table. |
db_schema |
The name of the database where the InnoDB table
resides. This is a required value. |
db_table |
The name of the InnoDB table that stores
memcached values. This is a required
value. |
key_columns |
The column in the InnoDB table that contains lookup
key values for memcached operations.
This is a required value. |
value_columns |
The InnoDB table columns (one or more) that store
memcached data. Multiple columns can be
specified using the separator character specified in the
innodb_memcached.config_options table.
By default, the separator is a pipe character
(“|”). To specify multiple columns, separate
them with the defined separator character. For example:
col1|col2|col3 . This is a required
value. |
flags |
The InnoDB table columns that are used as flags (a
user-defined numeric value that is stored and retrieved
along with the main value) for
memcached. A flag value can be used as
a column specifier for some operations (such as
incr , prepend ) if a
memcached value is mapped to multiple
columns, so that an operation is performed on a specified
column. For example, if you have mapped a
value_columns to three
InnoDB table columns, and only want the
increment operation performed on one columns, use the
flags column to specify the column. If
you do not use the flags column, set a
value of 0 to indicate that it is
unused. |
cas_column |
The InnoDB table column that stores compare-and-swap
(cas) values. The cas_column value is
related to the way memcached hashes
requests to different servers and caches data in memory.
Because the InnoDB
memcached plugin is tightly integrated
with a single memcached daemon, and the
in-memory caching mechanism is handled by MySQL and the
InnoDB buffer
pool, this column is rarely needed. If you do not
use this column, set a value of 0 to
indicate that it is unused. |
expire_time_column |
The InnoDB table column that stores expiration
values. The expire_time_column value is
related to the way memcached hashes
requests to different servers and caches data in memory.
Because the InnoDB
memcached plugin is tightly integrated
with a single memcached daemon, and the
in-memory caching mechanism is handled by MySQL and the
InnoDB buffer
pool, this column is rarely needed. If you do not
use this column, set a value of 0 to
indicate that the column is unused. The maximum expire
time is defined as INT_MAX32 or
2147483647 seconds (approximately 68 years). |
unique_idx_name_on_key |
The name of the index on the key column. It must be a unique index. It
can be the primary
key or a
secondary
index. Preferably, use the primary key of the
InnoDB table. Using the primary key
avoids a lookup that is performed when using a secondary
index. You cannot make a
covering index
for memcached lookups;
InnoDB returns an error if you try to
define a composite secondary index over both the key and
value columns. |
You must supply a value for db_schema
,
db_name
, key_columns
,
value_columns
and
unique_idx_name_on_key
. Specify
0
for flags
,
cas_column
, and
expire_time_column
if they are unused.
Failing to do so could cause your setup to fail.
key_columns
: The maximum limit for a
memcached key is 250 characters, which is
enforced by memcached. The mapped key
must be a non-Null CHAR
or
VARCHAR
type.
value_columns
: Must be mapped to a
CHAR
,
VARCHAR
, or
BLOB
column. There is no
length restriction and the value can be NULL.
cas_column
: The cas
value is a 64 bit integer. It must be mapped to a
BIGINT
of at least 8 bytes.
If you do not use this column, set a value of
0
to indicate that it is unused.
expiration_time_column
: Must mapped to an
INTEGER
of at least 4 bytes.
Expiration time is defined as a 32-bit integer for Unix time
(the number of seconds since January 1, 1970, as a 32-bit
value), or the number of seconds starting from the current
time. For the latter, the number of seconds may not exceed
60*60*24*30 (the number of seconds in 30 days). If the
number sent by a client is larger, the server considers it
to be a real Unix time value rather than an offset from the
current time. If you do not use this column, set a value of
0
to indicate that it is unused.
flags
: Must be mapped to an
INTEGER
of at least 32-bits
and can be NULL. If you do not use this column, set a value
of 0
to indicate that it is unused.
A pre-check is performed at plugin load time to enforce column constraints. If mismatches are found, the plugin is not loaded.
During plugin initialization, when InnoDB
memcached is configured with information
defined in the containers
table, each
mapped column defined in
containers.value_columns
is verified
against the mapped InnoDB
table. If
multiple InnoDB
table columns are mapped,
there is a check to ensure that each column exists and is
the right type.
At run-time, for memcached
insert
operations, if there are more delimited values than the
number of mapped columns, only the number of mapped values
are taken. For example, if there are six mapped columns, and
seven delimited values are provided, only the first six
delimited values are taken. The seventh delimited value is
ignored.
If there are fewer delimited values than mapped columns, unfilled columns are set to NULL. If an unfilled column cannot be set to NULL, insert operations fail.
If a table has more columns than mapped values, the extra columns do not affect results.
The innodb_memcached_config.sql
configuration script creates a demo_test
table in the test
database, which can be used
to verify InnoDB
memcached
plugin installation immediately after setup.
The innodb_memcached_config.sql
configuration script also creates an entry for the
demo_test
table in the
innodb_memcache.containers
table.
mysql>SELECT * FROM innodb_memcache.containers\G
*************************** 1. row *************************** name: aaa db_schema: test db_table: demo_test key_columns: c1 value_columns: c2 flags: c3 cas_column: c4 expire_time_column: c5 unique_idx_name_on_key: PRIMARY mysql>SELECT * FROM test.demo_test;
+----+------------------+------+------+------+ | c1 | c2 | c3 | c4 | c5 | +----+------------------+------+------+------+ | AA | HELLO, HELLO | 8 | 0 | 0 | +----+------------------+------+------+------+
This section describes issues that you may encounter when using
the InnoDB
memcached plugin.
If you encounter the following error in the MySQL error log, the server might fail to start:
failed to set rlimit for open files. Try running as root or requesting smaller maxconns value.
The error message is from the memcached daemon. One solution is to raise the OS limit for the number of open files. The commands for checking and increasing the open file limit varies by operating system. This example shows commands for Linux and OS X:
# Linux shell>ulimit -n
1024 shell>ulimit -n 4096
shell>ulimit -n
4096 # OS X shell>ulimit -n
256 shell>ulimit -n 4096
shell>ulimit -n
4096
The other solution is to reduce the number of concurrent
connections permitted for the memcached
daemon. To do so, encode the -c
memcached option in the
daemon_memcached_option
configuration parameter in the MySQL configuration file. The
-c
option has a default value of 1024.
[mysqld] ... loose-daemon_memcached_option='-c 64'
To troubleshoot problems where the
memcached daemon is unable to store or
retrieve InnoDB
table data, encode the
-vvv
memcached option in
the daemon_memcached_option
configuration parameter in the MySQL configuration file.
Examine the MySQL error log for debug output related to
memcached operations.
[mysqld] ... loose-daemon_memcached_option='-vvv'
If columns specified to hold memcached values are the wrong data type, such as a numeric type instead of a string type, attempts to store key-value pairs fail with no specific error code or message.
If the daemon_memcached
plugin causes MySQL
server startup issues, you can temporarily disable the
daemon_memcached
plugin while
troubleshooting by adding this line under the
[mysqld]
group in the MySQL configuration
file:
daemon_memcached=OFF
For example, if you run the INSTALL
PLUGIN
statement before running the
innodb_memcached_config.sql
configuration
script to set up the necessary database and tables, the server
might crash and fail to start. The server could also fail to
start if you incorrectly configure an entry in the
innodb_memcache.containers
table.
To uninstall the memcached plugin for a MySQL instance, issue the following statement:
mysql> UNINSTALL PLUGIN daemon_memcached;
If you run more than one instance of MySQL on the same machine
with the daemon_memcached
plugin enabled in
each instance, use the
daemon_memcached_option
configuration parameter to specify a unique
memcached port for each
daemon_memcached
plugin.
If an SQL statement cannot find the InnoDB
table or finds no data in the table, but
memcached API calls retrieve the expected
data, you may be missing an entry for the
InnoDB
table in the
innodb_memcache.containers
table, or you
may have not switched to the correct InnoDB
table by issuing a get
or
set
request using
@@
notation. This problem could also occur if you change an
existing entry in the
table_id
innodb_memcache.containers
table without
restarting the MySQL server afterward. The free-form storage
mechanism is flexible enough that your requests to store or
retrieve a multi-column value such as
col1|col2|col3
may still work, even if the
daemon is using the test.demo_test
table
which stores values in a single column.
When defining your own InnoDB
table for use
with the daemon_memcached
plugin, and
columns in the table are defined as NOT
NULL
, ensure that values are supplied for the
NOT NULL
columns when inserting a record
for the table into the
innodb_memcache.containers
table. If the
INSERT
statement for the
innodb_memcache.containers
record contains
fewer delimited values than there are mapped columns, unfilled
columns are set to NULL
. Attempting to
insert a NULL
value into a NOT
NULL
column causes the
INSERT
to fail, which may only
become evident after you reinitialize the
daemon_memcached
plugin to apply changes to
the innodb_memcache.containers
table.
If cas_column
and
expire_time_column
fields of the
innodb_memcached.containers
table are set
to NULL
, the following error is returned
when attempting to load the memcached
plugin:
InnoDB_Memcached: column 6 in the entry for config table 'containers' in database 'innodb_memcache' has an invalid NULL value.
The memcached plugin rejects usage of
NULL
in the cas_column
and expire_time_column
columns. Set the
value of these columns to 0
when the
columns are unused.
As the length of the memcached key and values increase, you might encounter size and length limits.
When the key exceeds 250 bytes, memcached operations return an error. This is currently a fixed limit within memcached.
InnoDB
table limits may be encountered
if values exceed 768 bytes in size, 3072 bytes in size, or
half of the
innodb_page_size
value.
These limits primarily apply if you intend to create an
index on a value column to run report-generating queries
on that column using SQL. See
Section 15.6.1.6, “Limits on InnoDB Tables” for details.
The maximum size for the key-value combination is 1 MB.
If you share configuration files across MySQL servers of
different versions, using the latest configuration options for
the daemon_memcached
plugin could cause
startup errors on older MySQL versions. To avoid compatibility
problems, use the loose
prefix with option
names. For example, use
loose-daemon_memcached_option='-c 64'
instead of daemon_memcached_option='-c 64'
.
There is no restriction or check in place to validate character set settings. memcached stores and retrieves keys and values in bytes and is therefore not character set sensitive. However, you must ensure that the memcached client and the MySQL table use the same character set.
memcached connections are blocked from accessing tables that contain an indexed virtual column. Accessing an indexed virtual column requires a callback to the server, but a memcached connection does not have access to the server code.
The following general guidelines apply to troubleshooting
InnoDB
problems:
When an operation fails or you suspect a bug, look at the MySQL
server error log (see Section 5.4.2, “The Error Log”).
Section B.3, “Server Error Message Reference” provides
troubleshooting information for some of the common
InnoDB
-specific errors that you may
encounter.
If the failure is related to a
deadlock, run with the
innodb_print_all_deadlocks
option enabled so that details about each deadlock are printed
to the MySQL server error log. For information about deadlocks,
see Section 15.7.5, “Deadlocks in InnoDB”.
If the issue is related to the InnoDB
data
dictionary, see
Section 15.20.3, “Troubleshooting InnoDB Data Dictionary Operations”.
When troubleshooting, it is usually best to run the MySQL server
from the command prompt, rather than through
mysqld_safe or as a Windows service. You can
then see what mysqld prints to the console,
and so have a better grasp of what is going on. On Windows,
start mysqld with the
--console
option to direct the
output to the console window.
Enable the InnoDB
Monitors to obtain
information about a problem (see
Section 15.16, “InnoDB Monitors”). If the problem is
performance-related, or your server appears to be hung, you
should enable the standard Monitor to print information about
the internal state of InnoDB
. If the problem
is with locks, enable the Lock Monitor. If the problem is with
table creation, tablespaces, or data dictionary operations,
refer to the
InnoDB
Information Schema system tables to examine contents of
the InnoDB
internal data dictionary.
InnoDB
temporarily enables standard
InnoDB
Monitor output under the following
conditions:
A long semaphore wait
InnoDB
cannot find free blocks in the
buffer pool
Over 67% of the buffer pool is occupied by lock heaps or the adaptive hash index
If you suspect that a table is corrupt, run
CHECK TABLE
on that table.
The troubleshooting steps for InnoDB
I/O
problems depend on when the problem occurs: during startup of the
MySQL server, or during normal operations when a DML or DDL
statement fails due to problems at the file system level.
If something goes wrong when InnoDB
attempts to
initialize its tablespace or its log files, delete all files
created by InnoDB
: all
ibdata
files and all
ib_logfile
files. If you already created some
InnoDB
tables, also delete any
.ibd
files from the MySQL database
directories. Then try the InnoDB
database
creation again. For easiest troubleshooting, start the MySQL
server from a command prompt so that you see what is happening.
If InnoDB
prints an operating system error
during a file operation, usually the problem has one of the
following solutions:
Make sure the InnoDB
data file directory
and the InnoDB
log directory exist.
Make sure mysqld has access rights to create files in those directories.
Make sure mysqld can read the proper
my.cnf
or my.ini
option file, so that it starts with the options that you
specified.
Make sure the disk is not full and you are not exceeding any disk quota.
Make sure that the names you specify for subdirectories and data files do not clash.
Doublecheck the syntax of the
innodb_data_home_dir
and
innodb_data_file_path
values.
In particular, any MAX
value in the
innodb_data_file_path
option
is a hard limit, and exceeding that limit causes a fatal
error.
To investigate database page corruption, you might dump your
tables from the database with
SELECT ... INTO
OUTFILE
. Usually, most of the data obtained in this way
is intact. Serious corruption might cause SELECT * FROM
statements or
tbl_name
InnoDB
background operations to crash or
assert, or even cause InnoDB
roll-forward
recovery to crash. In such cases, you can use the
innodb_force_recovery
option to
force the InnoDB
storage engine to start up
while preventing background operations from running, so that you
can dump your tables. For example, you can add the following line
to the [mysqld]
section of your option file
before restarting the server:
[mysqld] innodb_force_recovery = 1
For information about using option files, see Section 4.2.7, “Using Option Files”.
Only set innodb_force_recovery
to a value greater than 0 in an emergency situation, so that you
can start InnoDB
and dump your tables. Before
doing so, ensure that you have a backup copy of your database in
case you need to recreate it. Values of 4 or greater can
permanently corrupt data files. Only use an
innodb_force_recovery
setting
of 4 or greater on a production server instance after you have
successfully tested the setting on a separate physical copy of
your database. When forcing InnoDB
recovery,
you should always start with
innodb_force_recovery=1
and
only increase the value incrementally, as necessary.
innodb_force_recovery
is 0 by
default (normal startup without forced recovery). The permissible
nonzero values for
innodb_force_recovery
are 1 to 6.
A larger value includes the functionality of lesser values. For
example, a value of 3 includes all of the functionality of values
1 and 2.
If you are able to dump your tables with an
innodb_force_recovery
value of 3
or less, then you are relatively safe that only some data on
corrupt individual pages is lost. A value of 4 or greater is
considered dangerous because data files can be permanently
corrupted. A value of 6 is considered drastic because database
pages are left in an obsolete state, which in turn may introduce
more corruption into B-trees
and other database structures.
As a safety measure, InnoDB
prevents
INSERT
,
UPDATE
, or
DELETE
operations when
innodb_force_recovery
is greater
than 0. An innodb_force_recovery
setting of 4 or greater places InnoDB
in
read-only mode.
1
(SRV_FORCE_IGNORE_CORRUPT
)
Lets the server run even if it detects a corrupt
page. Tries to make
SELECT * FROM
jump over
corrupt index records and pages, which helps in dumping
tables.
tbl_name
2
(SRV_FORCE_NO_BACKGROUND
)
Prevents the master thread and any purge threads from running. If a crash would occur during the purge operation, this recovery value prevents it.
3
(SRV_FORCE_NO_TRX_UNDO
)
Does not run transaction rollbacks after crash recovery.
4
(SRV_FORCE_NO_IBUF_MERGE
)
Prevents insert
buffer merge operations. If they would cause a crash,
does not do them. Does not calculate table
statistics. This value
can permanently corrupt data files. After using this value, be
prepared to drop and recreate all secondary indexes. Sets
InnoDB
to read-only.
5
(SRV_FORCE_NO_UNDO_LOG_SCAN
)
Does not look at undo
logs when starting the database:
InnoDB
treats even incomplete transactions
as committed. This value can permanently corrupt data files.
Sets InnoDB
to read-only.
6
(SRV_FORCE_NO_LOG_REDO
)
Does not do the redo log
roll-forward in connection with recovery. This value can
permanently corrupt data files. Leaves database pages in an
obsolete state, which in turn may introduce more corruption
into B-trees and other database structures. Sets
InnoDB
to read-only.
You can SELECT
from tables to dump
them. With an
innodb_force_recovery
value of 3
or less you can DROP
or
CREATE
tables. DROP
TABLE
is also supported with an
innodb_force_recovery
value
greater than 3. DROP TABLE
is not
permitted with an
innodb_force_recovery
value
greater than 4.
If you know that a given table is causing a crash on rollback, you
can drop it. If you encounter a runaway rollback caused by a
failing mass import or ALTER TABLE
,
you can kill the mysqld process and set
innodb_force_recovery
to
3
to bring the database up without the
rollback, and then DROP
the table that is
causing the runaway rollback.
If corruption within the table data prevents you from dumping the
entire table contents, a query with an ORDER BY
clause might
be able to dump the portion of the table after the corrupted part.
primary_key
DESC
If a high innodb_force_recovery
value is required to start InnoDB
, there may be
corrupted data structures that could cause complex queries
(queries containing WHERE
, ORDER
BY
, or other clauses) to fail. In this case, you may
only be able to run basic SELECT * FROM t
queries.
Information about table definitions is stored in the InnoDB data dictionary. If you move data files around, dictionary data can become inconsistent.
If a data dictionary corruption or consistency issue prevents you
from starting InnoDB
, see
Section 15.20.2, “Forcing InnoDB Recovery” for information about
manual recovery.
With innodb_file_per_table
enabled (the default), the following messages may appear at
startup if a
file-per-table
tablespace file (.ibd
file) is missing:
[ERROR] InnoDB: Operating system error number 2 in a file operation. [ERROR] InnoDB: The error means the system cannot find the path specified. [ERROR] InnoDB: Cannot open datafile for read-only: './test/t1.ibd' OS error: 71 [Warning] InnoDB: Ignoring tablespace `test/t1` because it could not be opened.
To address the these messages, issue DROP
TABLE
statement to remove data about the missing table
from the data dictionary.
This procedure describes how to restore orphan
file-per-table
.ibd
files to another MySQL instance. You
might use this procedure if the system tablespace is lost or
unrecoverable and you want to restore .idb
file backups on a new MySQL instance.
The procedure is not supported for
general
tablespace .ibd
files.
The procedure assumes that you only have
.ibd
file backups, you are recovering to
the same version of MySQL that initially created the orphan
.idb
files, and that
.idb
file backups are clean. See
Section 15.6.1.2, “Moving or Copying InnoDB Tables” for information about
creating clean backups.
Tablespace copying limitations outlined in Section 15.6.3.7, “Copying Tablespaces to Another Instance” are applicable to this procedure.
On the new MySQL instance, recreate the table in a database of the same name.
mysql>CREATE DATABASE sakila;
mysql>USE sakila;
mysql>CREATE TABLE actor (
actor_id SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT,
first_name VARCHAR(45) NOT NULL,
last_name VARCHAR(45) NOT NULL,
last_update TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (actor_id),
KEY idx_actor_last_name (last_name)
)ENGINE=InnoDB DEFAULT CHARSET=utf8;
Discard the tablespace of the newly created table.
mysql> ALTER TABLE sakila.actor DISCARD TABLESPACE;
Copy the orphan .idb
file from your
backup directory to the new database directory.
shell> cp /backup_directory
/actor.ibd path/to/mysql-5.7/data
/sakila/
Ensure that the .ibd
file has the
necessary file permissions.
Import the orphan .ibd
file. A warning is
issued indicating that InnoDB
will
attempt to import the file without schema verification.
mysql> ALTER TABLE sakila.actor IMPORT TABLESPACE; SHOW WARNINGS;
Query OK, 0 rows affected, 1 warning (0.15 sec)
Warning | 1810 | InnoDB: IO Read error: (2, No such file or directory)
Error opening './sakila/actor.cfg', will attempt to import
without schema verification
Query the table to verify that the .ibd
file was successfully restored.
mysql> SELECT COUNT(*) FROM sakila.actor;
+----------+
| count(*) |
+----------+
| 200 |
+----------+
The following items describe how InnoDB
performs error handling. InnoDB
sometimes rolls
back only the statement that failed, other times it rolls back the
entire transaction.
If you run out of file space in a
tablespace, a MySQL
Table is full
error occurs and
InnoDB
rolls back the SQL statement.
A transaction deadlock
causes InnoDB
to
roll back the entire
transaction. Retry the
whole transaction when this happens.
A lock wait timeout causes InnoDB
to roll
back only the single statement that was waiting for the lock
and encountered the timeout. (To have the entire transaction
roll back, start the server with the
--innodb-rollback-on-timeout
option.) Retry the statement if using the current behavior, or
the entire transaction if using
--innodb-rollback-on-timeout
.
Both deadlocks and lock wait timeouts are normal on busy servers and it is necessary for applications to be aware that they may happen and handle them by retrying. You can make them less likely by doing as little work as possible between the first change to data during a transaction and the commit, so the locks are held for the shortest possible time and for the smallest possible number of rows. Sometimes splitting work between different transactions may be practical and helpful.
When a transaction rollback occurs due to a deadlock or lock
wait timeout, it cancels the effect of the statements within
the transaction. But if the start-transaction statement was
START
TRANSACTION
or
BEGIN
statement, rollback does not cancel that statement. Further
SQL statements become part of the transaction until the
occurrence of COMMIT
,
ROLLBACK
, or
some SQL statement that causes an implicit commit.
A duplicate-key error rolls back the SQL statement, if you
have not specified the IGNORE
option in
your statement.
A row too long error
rolls back the SQL
statement.
Other errors are mostly detected by the MySQL layer of code
(above the InnoDB
storage engine level),
and they roll back the corresponding SQL statement. Locks are
not released in a rollback of a single SQL statement.
During implicit rollbacks, as well as during the execution of an
explicit
ROLLBACK
SQL
statement, SHOW PROCESSLIST
displays Rolling back
in the
State
column for the relevant connection.