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Removes all rows from a table or specified partitions of a table, without logging the individual row deletions. TRUNCATE TABLE is similar to the DELETE statement with no WHERE clause; however, TRUNCATE TABLE is faster and uses fewer system and transaction log resources.
Transact-SQL Syntax Conventions
-- Syntax for SQL Server and Azure SQL Database
TRUNCATE TABLE
[ { database_name .[ schema_name ] . | schema_name . } ]
table_name
[ WITH ( PARTITIONS ( { <partition_number_expression> | <range> }
[ , ...n ] ) ) ]
[ ; ]
<range> ::=
<partition_number_expression> TO <partition_number_expression>
-- Syntax for Azure SQL Data Warehouse and Parallel Data Warehouse
TRUNCATE TABLE [ { database_name . [ schema_name ] . | schema_name . ] table_name
[;]
database_name
Is the name of the database.
schema_name
Is the name of the schema to which the table belongs.
table_name
Is the name of the table to truncate or from which all rows are removed. table_name must be a literal. table_name cannot be the OBJECT_ID() function or a variable.
WITH ( PARTITIONS ( { <partition_number_expression> | <range> } [ , …n ] ) )
Applies to: SQL Server SQL Server SQL Server 2016 (13.x) through current version)
Specifies the partitions to truncate or from which all rows are removed. If the table is not partitioned, the WITH PARTITIONS argument will generate an error. If the WITH PARTITIONS clause is not provided, the entire table will be truncated.
<partition_number_expression> can be specified in the following ways:
Provide the number of a partition, for example: WITH (PARTITIONS (2))
Provide the partition numbers for several individual partitions separated by commas, for example: WITH (PARTITIONS (1, 5))
Provide both ranges and individual partitions, for example: WITH (PARTITIONS (2, 4, 6 TO 8))
<range> can be specified as partition numbers separated by the word TO, for example: WITH (PARTITIONS (6 TO 8))
To truncate a partitioned table, the table and indexes must be aligned (partitioned on the same partition function).
Compared to the DELETE statement, TRUNCATE TABLE has the following advantages:
Less transaction log space is used.
The DELETE statement removes rows one at a time and records an entry in the transaction log for each deleted row. TRUNCATE TABLE removes the data by deallocating the data pages used to store the table data and records only the page deallocations in the transaction log.
Fewer locks are typically used.
When the DELETE statement is executed using a row lock, each row in the table is locked for deletion. TRUNCATE TABLE always locks the table (including a schema (SCH-M) lock) and page but not each row.
Without exception, zero pages are left in the table.
After a DELETE statement is executed, the table can still contain empty pages. For example, empty pages in a heap cannot be deallocated without at least an exclusive (LCK_M_X) table lock. If the delete operation does not use a table lock, the table (heap) will contain many empty pages. For indexes, the delete operation can leave empty pages behind, although these pages will be deallocated quickly by a background cleanup process.
TRUNCATE TABLE removes all rows from a table, but the table structure and its columns, constraints, indexes, and so on remain. To remove the table definition in addition to its data, use the DROP TABLE statement.
If the table contains an identity column, the counter for that column is reset to the seed value defined for the column. If no seed was defined, the default value 1 is used. To retain the identity counter, use DELETE instead.
You cannot use TRUNCATE TABLE on tables that:
Are referenced by a FOREIGN KEY constraint. (You can truncate a table that has a foreign key that references itself.)
Participate in an indexed view.
Are published by using transactional replication or merge replication.
For tables with one or more of these characteristics, use the DELETE statement instead.
TRUNCATE TABLE cannot activate a trigger because the operation does not log individual row deletions. For more information, see CREATE TRIGGER (Transact-SQL).
In Azure SQL Data Warehouse and Azure SQL Data Warehouse Parallel Data Warehouse
TRUNCATE TABLE is not allowed within the EXPLAIN statement.
TRUNCATE TABLE cannot be ran inside of a transaction.
Microsoft Microsoft SQL Server has the ability to drop or truncate tables that have more than 128 extents without holding simultaneous locks on all the extents required for the drop.
The minimum permission required is ALTER on table_name. TRUNCATE TABLE permissions default to the table owner, members of the sysadmin fixed server role, and the db_owner and db_ddladmin fixed database roles, and are not transferable. However, you can incorporate the TRUNCATE TABLE statement within a module, such as a stored procedure, and grant appropriate permissions to the module using the EXECUTE AS clause.
The following example removes all data from the JobCandidate
table. SELECT
statements are included before and after the TRUNCATE TABLE
statement to compare results.
USE AdventureWorks2012;
GO
SELECT COUNT(*) AS BeforeTruncateCount
FROM HumanResources.JobCandidate;
GO
TRUNCATE TABLE HumanResources.JobCandidate;
GO
SELECT COUNT(*) AS AfterTruncateCount
FROM HumanResources.JobCandidate;
GO
Applies to: SQL Server SQL Server SQL Server 2016 (13.x) through current version)
The following example truncates specified partitions of a partitioned table. The WITH (PARTITIONS (2, 4, 6 TO 8))
syntax causes partition numbers 2, 4, 6, 7, and 8 to be truncated.
DELETE (Transact-SQL)
DROP TABLE (Transact-SQL)
IDENTITY (Property) (Transact-SQL)