Table of Contents
This chapter provides a tutorial introduction to MySQL by showing how to use the mysql client program to create and use a simple database. mysql (sometimes referred to as the “terminal monitor” or just “monitor”) is an interactive program that enables you to connect to a MySQL server, run queries, and view the results. mysql may also be used in batch mode: you place your queries in a file beforehand, then tell mysql to execute the contents of the file. Both ways of using mysql are covered here.
To see a list of options provided by mysql,
invoke it with the --help option:
shell> mysql --help
This chapter assumes that mysql is installed on your machine and that a MySQL server is available to which you can connect. If this is not true, contact your MySQL administrator. (If you are the administrator, you need to consult the relevant portions of this manual, such as Chapter 5, MySQL Server Administration.)
This chapter describes the entire process of setting up and using a database. If you are interested only in accessing an existing database, you may want to skip the sections that describe how to create the database and the tables it contains.
Because this chapter is tutorial in nature, many details are necessarily omitted. Consult the relevant sections of the manual for more information on the topics covered here.
To connect to the server, you will usually need to provide a MySQL user name when you invoke mysql and, most likely, a password. If the server runs on a machine other than the one where you log in, you will also need to specify a host name. Contact your administrator to find out what connection parameters you should use to connect (that is, what host, user name, and password to use). Once you know the proper parameters, you should be able to connect like this:
shell>mysql -hEnter password:host-uuser-p********
host and
user represent the host name where your
MySQL server is running and the user name of your MySQL account.
Substitute appropriate values for your setup. The
******** represents your password; enter it
when mysql displays the Enter
password: prompt.
If that works, you should see some introductory information
followed by a mysql> prompt:
shell>mysql -hEnter password:host-uuser-p********Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 25338 to server version: 8.0.17-standard Type 'help;' or '\h' for help. Type '\c' to clear the buffer. mysql>
The mysql> prompt tells you that
mysql is ready for you to enter SQL statements.
If you are logging in on the same machine that MySQL is running on, you can omit the host, and simply use the following:
shell> mysql -u user -p
If, when you attempt to log in, you get an error message such as ERROR 2002 (HY000): Can't connect to local MySQL server through socket '/tmp/mysql.sock' (2), it means that the MySQL server daemon (Unix) or service (Windows) is not running. Consult the administrator or see the section of Chapter 2, Installing and Upgrading MySQL that is appropriate to your operating system.
For help with other problems often encountered when trying to log in, see Section B.6.2, “Common Errors When Using MySQL Programs”.
Some MySQL installations permit users to connect as the anonymous (unnamed) user to the server running on the local host. If this is the case on your machine, you should be able to connect to that server by invoking mysql without any options:
shell> mysql
After you have connected successfully, you can disconnect any time
by typing QUIT (or \q) at
the mysql> prompt:
mysql> QUIT
Bye
On Unix, you can also disconnect by pressing Control+D.
Most examples in the following sections assume that you are
connected to the server. They indicate this by the
mysql> prompt.
Make sure that you are connected to the server, as discussed in the previous section. Doing so does not in itself select any database to work with, but that is okay. At this point, it is more important to find out a little about how to issue queries than to jump right in creating tables, loading data into them, and retrieving data from them. This section describes the basic principles of entering queries, using several queries you can try out to familiarize yourself with how mysql works.
Here is a simple query that asks the server to tell you its
version number and the current date. Type it in as shown here
following the mysql> prompt and press Enter:
mysql> SELECT VERSION(), CURRENT_DATE;
+-----------+--------------+
| VERSION() | CURRENT_DATE |
+-----------+--------------+
| 5.8.0-m17 | 2015-12-21 |
+-----------+--------------+
1 row in set (0.02 sec)
mysql>
This query illustrates several things about mysql:
A query normally consists of an SQL statement followed by a
semicolon. (There are some exceptions where a semicolon may be
omitted. QUIT, mentioned earlier, is one of
them. We'll get to others later.)
When you issue a query, mysql sends it to
the server for execution and displays the results, then prints
another mysql> prompt to indicate that
it is ready for another query.
mysql displays query output in tabular form (rows and columns). The first row contains labels for the columns. The rows following are the query results. Normally, column labels are the names of the columns you fetch from database tables. If you're retrieving the value of an expression rather than a table column (as in the example just shown), mysql labels the column using the expression itself.
mysql shows how many rows were returned and how long the query took to execute, which gives you a rough idea of server performance. These values are imprecise because they represent wall clock time (not CPU or machine time), and because they are affected by factors such as server load and network latency. (For brevity, the “rows in set” line is sometimes not shown in the remaining examples in this chapter.)
Keywords may be entered in any lettercase. The following queries are equivalent:
mysql>SELECT VERSION(), CURRENT_DATE;mysql>select version(), current_date;mysql>SeLeCt vErSiOn(), current_DATE;
Here is another query. It demonstrates that you can use mysql as a simple calculator:
mysql> SELECT SIN(PI()/4), (4+1)*5;
+------------------+---------+
| SIN(PI()/4) | (4+1)*5 |
+------------------+---------+
| 0.70710678118655 | 25 |
+------------------+---------+
1 row in set (0.02 sec)
The queries shown thus far have been relatively short, single-line statements. You can even enter multiple statements on a single line. Just end each one with a semicolon:
mysql> SELECT VERSION(); SELECT NOW();
+-----------+
| VERSION() |
+-----------+
| 8.0.13 |
+-----------+
1 row in set (0.00 sec)
+---------------------+
| NOW() |
+---------------------+
| 2018-08-24 00:56:40 |
+---------------------+
1 row in set (0.00 sec)
A query need not be given all on a single line, so lengthy queries that require several lines are not a problem. mysql determines where your statement ends by looking for the terminating semicolon, not by looking for the end of the input line. (In other words, mysql accepts free-format input: it collects input lines but does not execute them until it sees the semicolon.)
Here is a simple multiple-line statement:
mysql>SELECT->USER()->,->CURRENT_DATE;+---------------+--------------+ | USER() | CURRENT_DATE | +---------------+--------------+ | jon@localhost | 2018-08-24 | +---------------+--------------+
In this example, notice how the prompt changes from
mysql> to -> after you
enter the first line of a multiple-line query. This is how
mysql indicates that it has not yet seen a
complete statement and is waiting for the rest. The prompt is your
friend, because it provides valuable feedback. If you use that
feedback, you can always be aware of what mysql
is waiting for.
If you decide you do not want to execute a query that you are in
the process of entering, cancel it by typing
\c:
mysql>SELECT->USER()->\cmysql>
Here, too, notice the prompt. It switches back to
mysql> after you type \c,
providing feedback to indicate that mysql is
ready for a new query.
The following table shows each of the prompts you may see and summarizes what they mean about the state that mysql is in.
| Prompt | Meaning |
|---|---|
mysql> |
Ready for new query |
-> |
Waiting for next line of multiple-line query |
'> |
Waiting for next line, waiting for completion of a string that began
with a single quote (') |
"> |
Waiting for next line, waiting for completion of a string that began
with a double quote (") |
`> |
Waiting for next line, waiting for completion of an identifier that
began with a backtick (`) |
/*> |
Waiting for next line, waiting for completion of a comment that began
with /* |
Multiple-line statements commonly occur by accident when you intend to issue a query on a single line, but forget the terminating semicolon. In this case, mysql waits for more input:
mysql> SELECT USER()
->
If this happens to you (you think you've entered a statement but
the only response is a -> prompt), most
likely mysql is waiting for the semicolon. If
you don't notice what the prompt is telling you, you might sit
there for a while before realizing what you need to do. Enter a
semicolon to complete the statement, and mysql
executes it:
mysql>SELECT USER()->;+---------------+ | USER() | +---------------+ | jon@localhost | +---------------+
The '> and "> prompts
occur during string collection (another way of saying that MySQL
is waiting for completion of a string). In MySQL, you can write
strings surrounded by either ' or
" characters (for example,
'hello' or "goodbye"), and
mysql lets you enter strings that span multiple
lines. When you see a '> or
"> prompt, it means that you have entered a
line containing a string that begins with a '
or " quote character, but have not yet entered
the matching quote that terminates the string. This often
indicates that you have inadvertently left out a quote character.
For example:
mysql> SELECT * FROM my_table WHERE name = 'Smith AND age < 30;
'>
If you enter this SELECT statement,
then press Enter and wait for the result, nothing
happens. Instead of wondering why this query takes so long, notice
the clue provided by the '> prompt. It tells
you that mysql expects to see the rest of an
unterminated string. (Do you see the error in the statement? The
string 'Smith is missing the second single
quotation mark.)
At this point, what do you do? The simplest thing is to cancel the
query. However, you cannot just type \c in this
case, because mysql interprets it as part of
the string that it is collecting. Instead, enter the closing quote
character (so mysql knows you've finished the
string), then type \c:
mysql>SELECT * FROM my_table WHERE name = 'Smith AND age < 30;'>'\cmysql>
The prompt changes back to mysql>,
indicating that mysql is ready for a new query.
The `> prompt is similar to the
'> and "> prompts, but
indicates that you have begun but not completed a backtick-quoted
identifier.
It is important to know what the '>,
">, and `> prompts
signify, because if you mistakenly enter an unterminated string,
any further lines you type appear to be ignored by
mysql—including a line containing
QUIT. This can be quite confusing, especially
if you do not know that you need to supply the terminating quote
before you can cancel the current query.
Multiline statements from this point on are written without the
secondary (-> or other) prompts, to make
it easier to copy and paste the statements to try for yourself.
Once you know how to enter SQL statements, you are ready to access a database.
Suppose that you have several pets in your home (your menagerie) and you would like to keep track of various types of information about them. You can do so by creating tables to hold your data and loading them with the desired information. Then you can answer different sorts of questions about your animals by retrieving data from the tables. This section shows you how to perform the following operations:
Create a database
Create a table
Load data into the table
Retrieve data from the table in various ways
Use multiple tables
The menagerie database is simple (deliberately), but it is not difficult to think of real-world situations in which a similar type of database might be used. For example, a database like this could be used by a farmer to keep track of livestock, or by a veterinarian to keep track of patient records. A menagerie distribution containing some of the queries and sample data used in the following sections can be obtained from the MySQL website. It is available in both compressed tar file and Zip formats at https://dev.mysql.com/doc/.
Use the SHOW statement to find out
what databases currently exist on the server:
mysql> SHOW DATABASES;
+----------+
| Database |
+----------+
| mysql |
| test |
| tmp |
+----------+
The mysql database describes user access
privileges. The test database often is
available as a workspace for users to try things out.
The list of databases displayed by the statement may be different
on your machine; SHOW DATABASES
does not show databases that you have no privileges for if you do
not have the SHOW DATABASES
privilege. See Section 13.7.6.14, “SHOW DATABASES Syntax”.
If the test database exists, try to access it:
mysql> USE test
Database changed
USE, like QUIT,
does not require a semicolon. (You can terminate such statements
with a semicolon if you like; it does no harm.) The
USE statement is special in another
way, too: it must be given on a single line.
You can use the test database (if you have
access to it) for the examples that follow, but anything you
create in that database can be removed by anyone else with access
to it. For this reason, you should probably ask your MySQL
administrator for permission to use a database of your own.
Suppose that you want to call yours menagerie.
The administrator needs to execute a statement like this:
mysql> GRANT ALL ON menagerie.* TO 'your_mysql_name'@'your_client_host';
where your_mysql_name is the MySQL user name
assigned to you and your_client_host is the
host from which you connect to the server.
If the administrator creates your database for you when setting up your permissions, you can begin using it. Otherwise, you need to create it yourself:
mysql> CREATE DATABASE menagerie;
Under Unix, database names are case-sensitive (unlike SQL
keywords), so you must always refer to your database as
menagerie, not as
Menagerie, MENAGERIE, or
some other variant. This is also true for table names. (Under
Windows, this restriction does not apply, although you must
refer to databases and tables using the same lettercase
throughout a given query. However, for a variety of reasons, the
recommended best practice is always to use the same lettercase
that was used when the database was created.)
If you get an error such as ERROR 1044 (42000): Access denied for user 'micah'@'localhost' to database 'menagerie' when attempting to create a database, this means that your user account does not have the necessary privileges to do so. Discuss this with the administrator or see Section 6.2, “The MySQL Access Privilege System”.
Creating a database does not select it for use; you must do that
explicitly. To make menagerie the current
database, use this statement:
mysql> USE menagerie
Database changed
Your database needs to be created only once, but you must select
it for use each time you begin a mysql
session. You can do this by issuing a
USE statement as shown in the
example. Alternatively, you can select the database on the
command line when you invoke mysql. Just
specify its name after any connection parameters that you might
need to provide. For example:
shell>mysql -hEnter password:host-uuser-p menagerie********
menagerie in the command just shown is
not your password. If you
want to supply your password on the command line after the
-p option, you must do so with no
intervening space (for example, as
-p, not
as password-p ).
However, putting your password on the command line is not
recommended, because doing so exposes it to snooping by other
users logged in on your machine.
password
You can see at any time which database is currently selected
using SELECT
DATABASE().
Creating the database is the easy part, but at this point it is
empty, as SHOW TABLES tells you:
mysql> SHOW TABLES;
Empty set (0.00 sec)
The harder part is deciding what the structure of your database should be: what tables you need and what columns should be in each of them.
You want a table that contains a record for each of your pets.
This can be called the pet table, and it
should contain, as a bare minimum, each animal's name. Because
the name by itself is not very interesting, the table should
contain other information. For example, if more than one person
in your family keeps pets, you might want to list each animal's
owner. You might also want to record some basic descriptive
information such as species and sex.
How about age? That might be of interest, but it is not a good thing to store in a database. Age changes as time passes, which means you'd have to update your records often. Instead, it is better to store a fixed value such as date of birth. Then, whenever you need age, you can calculate it as the difference between the current date and the birth date. MySQL provides functions for doing date arithmetic, so this is not difficult. Storing birth date rather than age has other advantages, too:
You can use the database for tasks such as generating reminders for upcoming pet birthdays. (If you think this type of query is somewhat silly, note that it is the same question you might ask in the context of a business database to identify clients to whom you need to send out birthday greetings in the current week or month, for that computer-assisted personal touch.)
You can calculate age in relation to dates other than the current date. For example, if you store death date in the database, you can easily calculate how old a pet was when it died.
You can probably think of other types of information that would
be useful in the pet table, but the ones
identified so far are sufficient: name, owner, species, sex,
birth, and death.
Use a CREATE TABLE statement to
specify the layout of your table:
mysql>CREATE TABLE pet (name VARCHAR(20), owner VARCHAR(20),species VARCHAR(20), sex CHAR(1), birth DATE, death DATE);
VARCHAR is a good choice for the
name, owner, and
species columns because the column values
vary in length. The lengths in those column definitions need not
all be the same, and need not be 20. You can
normally pick any length from 1 to
65535, whatever seems most reasonable to you.
If you make a poor choice and it turns out later that you need a
longer field, MySQL provides an ALTER
TABLE statement.
Several types of values can be chosen to represent sex in animal
records, such as 'm' and
'f', or perhaps 'male' and
'female'. It is simplest to use the single
characters 'm' and 'f'.
The use of the DATE data type for
the birth and death
columns is a fairly obvious choice.
Once you have created a table, SHOW
TABLES should produce some output:
mysql> SHOW TABLES;
+---------------------+
| Tables in menagerie |
+---------------------+
| pet |
+---------------------+
To verify that your table was created the way you expected, use
a DESCRIBE statement:
mysql> DESCRIBE pet;
+---------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-----+---------+-------+
| name | varchar(20) | YES | | NULL | |
| owner | varchar(20) | YES | | NULL | |
| species | varchar(20) | YES | | NULL | |
| sex | char(1) | YES | | NULL | |
| birth | date | YES | | NULL | |
| death | date | YES | | NULL | |
+---------+-------------+------+-----+---------+-------+
You can use DESCRIBE any time,
for example, if you forget the names of the columns in your
table or what types they have.
For more information about MySQL data types, see Chapter 11, Data Types.
After creating your table, you need to populate it. The
LOAD DATA and
INSERT statements are useful for
this.
Suppose that your pet records can be described as shown here.
(Observe that MySQL expects dates in
'YYYY-MM-DD' format; this may be different
from what you are used to.)
| name | owner | species | sex | birth | death |
|---|---|---|---|---|---|
| Fluffy | Harold | cat | f | 1993-02-04 | |
| Claws | Gwen | cat | m | 1994-03-17 | |
| Buffy | Harold | dog | f | 1989-05-13 | |
| Fang | Benny | dog | m | 1990-08-27 | |
| Bowser | Diane | dog | m | 1979-08-31 | 1995-07-29 |
| Chirpy | Gwen | bird | f | 1998-09-11 | |
| Whistler | Gwen | bird | 1997-12-09 | ||
| Slim | Benny | snake | m | 1996-04-29 |
Because you are beginning with an empty table, an easy way to populate it is to create a text file containing a row for each of your animals, then load the contents of the file into the table with a single statement.
You could create a text file pet.txt
containing one record per line, with values separated by tabs,
and given in the order in which the columns were listed in the
CREATE TABLE statement. For
missing values (such as unknown sexes or death dates for animals
that are still living), you can use NULL
values. To represent these in your text file, use
\N (backslash, capital-N). For example, the
record for Whistler the bird would look like this (where the
whitespace between values is a single tab character):
Whistler Gwen bird \N 1997-12-09 \N
To load the text file pet.txt into the
pet table, use this statement:
mysql> LOAD DATA LOCAL INFILE '/path/pet.txt' INTO TABLE pet;
If you created the file on Windows with an editor that uses
\r\n as a line terminator, you should use
this statement instead:
mysql>LOAD DATA LOCAL INFILE '/path/pet.txt' INTO TABLE petLINES TERMINATED BY '\r\n';
(On an Apple machine running OS X, you would likely want to use
LINES TERMINATED BY '\r'.)
You can specify the column value separator and end of line
marker explicitly in the LOAD
DATA statement if you wish, but the defaults are tab
and linefeed. These are sufficient for the statement to read the
file pet.txt properly.
If the statement fails, it is likely that your MySQL installation does not have local file capability enabled by default. See Section 6.1.6, “Security Issues with LOAD DATA LOCAL”, for information on how to change this.
When you want to add new records one at a time, the
INSERT statement is useful. In
its simplest form, you supply values for each column, in the
order in which the columns were listed in the
CREATE TABLE statement. Suppose
that Diane gets a new hamster named “Puffball.” You
could add a new record using an
INSERT statement like this:
mysql>INSERT INTO petVALUES ('Puffball','Diane','hamster','f','1999-03-30',NULL);
String and date values are specified as quoted strings here.
Also, with INSERT, you can insert
NULL directly to represent a missing value.
You do not use \N like you do with
LOAD DATA.
From this example, you should be able to see that there would be
a lot more typing involved to load your records initially using
several INSERT statements rather
than a single LOAD DATA
statement.
The SELECT statement is used to
pull information from a table. The general form of the statement
is:
SELECTwhat_to_selectFROMwhich_tableWHEREconditions_to_satisfy;
what_to_select indicates what you
want to see. This can be a list of columns, or
* to indicate “all columns.”
which_table indicates the table from
which you want to retrieve data. The WHERE
clause is optional. If it is present,
conditions_to_satisfy specifies one
or more conditions that rows must satisfy to qualify for
retrieval.
The simplest form of SELECT
retrieves everything from a table:
mysql> SELECT * FROM pet;
+----------+--------+---------+------+------------+------------+
| name | owner | species | sex | birth | death |
+----------+--------+---------+------+------------+------------+
| Fluffy | Harold | cat | f | 1993-02-04 | NULL |
| Claws | Gwen | cat | m | 1994-03-17 | NULL |
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
| Fang | Benny | dog | m | 1990-08-27 | NULL |
| Bowser | Diane | dog | m | 1979-08-31 | 1995-07-29 |
| Chirpy | Gwen | bird | f | 1998-09-11 | NULL |
| Whistler | Gwen | bird | NULL | 1997-12-09 | NULL |
| Slim | Benny | snake | m | 1996-04-29 | NULL |
| Puffball | Diane | hamster | f | 1999-03-30 | NULL |
+----------+--------+---------+------+------------+------------+
This form of SELECT is useful
if you want to review your entire table, for example, after
you've just loaded it with your initial data set. For example,
you may happen to think that the birth date for Bowser doesn't
seem quite right. Consulting your original pedigree papers,
you find that the correct birth year should be 1989, not 1979.
There are at least two ways to fix this:
Edit the file pet.txt to correct the
error, then empty the table and reload it using
DELETE and
LOAD DATA:
mysql>DELETE FROM pet;mysql>LOAD DATA LOCAL INFILE 'pet.txt' INTO TABLE pet;
However, if you do this, you must also re-enter the record for Puffball.
Fix only the erroneous record with an
UPDATE statement:
mysql> UPDATE pet SET birth = '1989-08-31' WHERE name = 'Bowser';
The UPDATE changes only the
record in question and does not require you to reload the
table.
As shown in the preceding section, it is easy to retrieve an
entire table. Just omit the WHERE clause
from the SELECT statement. But
typically you don't want to see the entire table, particularly
when it becomes large. Instead, you're usually more interested
in answering a particular question, in which case you specify
some constraints on the information you want. Let's look at
some selection queries in terms of questions about your pets
that they answer.
You can select only particular rows from your table. For example, if you want to verify the change that you made to Bowser's birth date, select Bowser's record like this:
mysql> SELECT * FROM pet WHERE name = 'Bowser';
+--------+-------+---------+------+------------+------------+
| name | owner | species | sex | birth | death |
+--------+-------+---------+------+------------+------------+
| Bowser | Diane | dog | m | 1989-08-31 | 1995-07-29 |
+--------+-------+---------+------+------------+------------+
The output confirms that the year is correctly recorded as 1989, not 1979.
String comparisons normally are case-insensitive, so you can
specify the name as 'bowser',
'BOWSER', and so forth. The query result is
the same.
You can specify conditions on any column, not just
name. For example, if you want to know
which animals were born during or after 1998, test the
birth column:
mysql> SELECT * FROM pet WHERE birth >= '1998-1-1';
+----------+-------+---------+------+------------+-------+
| name | owner | species | sex | birth | death |
+----------+-------+---------+------+------------+-------+
| Chirpy | Gwen | bird | f | 1998-09-11 | NULL |
| Puffball | Diane | hamster | f | 1999-03-30 | NULL |
+----------+-------+---------+------+------------+-------+
You can combine conditions, for example, to locate female dogs:
mysql> SELECT * FROM pet WHERE species = 'dog' AND sex = 'f';
+-------+--------+---------+------+------------+-------+
| name | owner | species | sex | birth | death |
+-------+--------+---------+------+------------+-------+
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
+-------+--------+---------+------+------------+-------+
The preceding query uses the AND
logical operator. There is also an
OR operator:
mysql> SELECT * FROM pet WHERE species = 'snake' OR species = 'bird';
+----------+-------+---------+------+------------+-------+
| name | owner | species | sex | birth | death |
+----------+-------+---------+------+------------+-------+
| Chirpy | Gwen | bird | f | 1998-09-11 | NULL |
| Whistler | Gwen | bird | NULL | 1997-12-09 | NULL |
| Slim | Benny | snake | m | 1996-04-29 | NULL |
+----------+-------+---------+------+------------+-------+
AND and
OR may be intermixed, although
AND has higher precedence than
OR. If you use both operators, it
is a good idea to use parentheses to indicate explicitly how
conditions should be grouped:
mysql>SELECT * FROM pet WHERE (species = 'cat' AND sex = 'm')OR (species = 'dog' AND sex = 'f');+-------+--------+---------+------+------------+-------+ | name | owner | species | sex | birth | death | +-------+--------+---------+------+------------+-------+ | Claws | Gwen | cat | m | 1994-03-17 | NULL | | Buffy | Harold | dog | f | 1989-05-13 | NULL | +-------+--------+---------+------+------------+-------+
If you do not want to see entire rows from your table, just
name the columns in which you are interested, separated by
commas. For example, if you want to know when your animals
were born, select the name and
birth columns:
mysql> SELECT name, birth FROM pet;
+----------+------------+
| name | birth |
+----------+------------+
| Fluffy | 1993-02-04 |
| Claws | 1994-03-17 |
| Buffy | 1989-05-13 |
| Fang | 1990-08-27 |
| Bowser | 1989-08-31 |
| Chirpy | 1998-09-11 |
| Whistler | 1997-12-09 |
| Slim | 1996-04-29 |
| Puffball | 1999-03-30 |
+----------+------------+
To find out who owns pets, use this query:
mysql> SELECT owner FROM pet;
+--------+
| owner |
+--------+
| Harold |
| Gwen |
| Harold |
| Benny |
| Diane |
| Gwen |
| Gwen |
| Benny |
| Diane |
+--------+
Notice that the query simply retrieves the
owner column from each record, and some of
them appear more than once. To minimize the output, retrieve
each unique output record just once by adding the keyword
DISTINCT:
mysql> SELECT DISTINCT owner FROM pet;
+--------+
| owner |
+--------+
| Benny |
| Diane |
| Gwen |
| Harold |
+--------+
You can use a WHERE clause to combine row
selection with column selection. For example, to get birth
dates for dogs and cats only, use this query:
mysql>SELECT name, species, birth FROM petWHERE species = 'dog' OR species = 'cat';+--------+---------+------------+ | name | species | birth | +--------+---------+------------+ | Fluffy | cat | 1993-02-04 | | Claws | cat | 1994-03-17 | | Buffy | dog | 1989-05-13 | | Fang | dog | 1990-08-27 | | Bowser | dog | 1989-08-31 | +--------+---------+------------+
You may have noticed in the preceding examples that the result
rows are displayed in no particular order. It is often easier
to examine query output when the rows are sorted in some
meaningful way. To sort a result, use an ORDER
BY clause.
Here are animal birthdays, sorted by date:
mysql> SELECT name, birth FROM pet ORDER BY birth;
+----------+------------+
| name | birth |
+----------+------------+
| Buffy | 1989-05-13 |
| Bowser | 1989-08-31 |
| Fang | 1990-08-27 |
| Fluffy | 1993-02-04 |
| Claws | 1994-03-17 |
| Slim | 1996-04-29 |
| Whistler | 1997-12-09 |
| Chirpy | 1998-09-11 |
| Puffball | 1999-03-30 |
+----------+------------+
On character type columns, sorting—like all other
comparison operations—is normally performed in a
case-insensitive fashion. This means that the order is
undefined for columns that are identical except for their
case. You can force a case-sensitive sort for a column by
using BINARY like so:
ORDER BY BINARY
.
col_name
The default sort order is ascending, with smallest values
first. To sort in reverse (descending) order, add the
DESC keyword to the name of the column you
are sorting by:
mysql> SELECT name, birth FROM pet ORDER BY birth DESC;
+----------+------------+
| name | birth |
+----------+------------+
| Puffball | 1999-03-30 |
| Chirpy | 1998-09-11 |
| Whistler | 1997-12-09 |
| Slim | 1996-04-29 |
| Claws | 1994-03-17 |
| Fluffy | 1993-02-04 |
| Fang | 1990-08-27 |
| Bowser | 1989-08-31 |
| Buffy | 1989-05-13 |
+----------+------------+
You can sort on multiple columns, and you can sort different columns in different directions. For example, to sort by type of animal in ascending order, then by birth date within animal type in descending order (youngest animals first), use the following query:
mysql>SELECT name, species, birth FROM petORDER BY species, birth DESC;+----------+---------+------------+ | name | species | birth | +----------+---------+------------+ | Chirpy | bird | 1998-09-11 | | Whistler | bird | 1997-12-09 | | Claws | cat | 1994-03-17 | | Fluffy | cat | 1993-02-04 | | Fang | dog | 1990-08-27 | | Bowser | dog | 1989-08-31 | | Buffy | dog | 1989-05-13 | | Puffball | hamster | 1999-03-30 | | Slim | snake | 1996-04-29 | +----------+---------+------------+
The DESC keyword applies only to the column
name immediately preceding it (birth); it
does not affect the species column sort
order.
MySQL provides several functions that you can use to perform calculations on dates, for example, to calculate ages or extract parts of dates.
To determine how many years old each of your pets is, use the
TIMESTAMPDIFF() function. Its
arguments are the unit in which you want the result expressed,
and the two dates for which to take the difference. The
following query shows, for each pet, the birth date, the
current date, and the age in years. An
alias (age) is used to
make the final output column label more meaningful.
mysql>SELECT name, birth, CURDATE(),TIMESTAMPDIFF(YEAR,birth,CURDATE()) AS ageFROM pet;+----------+------------+------------+------+ | name | birth | CURDATE() | age | +----------+------------+------------+------+ | Fluffy | 1993-02-04 | 2003-08-19 | 10 | | Claws | 1994-03-17 | 2003-08-19 | 9 | | Buffy | 1989-05-13 | 2003-08-19 | 14 | | Fang | 1990-08-27 | 2003-08-19 | 12 | | Bowser | 1989-08-31 | 2003-08-19 | 13 | | Chirpy | 1998-09-11 | 2003-08-19 | 4 | | Whistler | 1997-12-09 | 2003-08-19 | 5 | | Slim | 1996-04-29 | 2003-08-19 | 7 | | Puffball | 1999-03-30 | 2003-08-19 | 4 | +----------+------------+------------+------+
The query works, but the result could be scanned more easily
if the rows were presented in some order. This can be done by
adding an ORDER BY name clause to sort the
output by name:
mysql>SELECT name, birth, CURDATE(),TIMESTAMPDIFF(YEAR,birth,CURDATE()) AS ageFROM pet ORDER BY name;+----------+------------+------------+------+ | name | birth | CURDATE() | age | +----------+------------+------------+------+ | Bowser | 1989-08-31 | 2003-08-19 | 13 | | Buffy | 1989-05-13 | 2003-08-19 | 14 | | Chirpy | 1998-09-11 | 2003-08-19 | 4 | | Claws | 1994-03-17 | 2003-08-19 | 9 | | Fang | 1990-08-27 | 2003-08-19 | 12 | | Fluffy | 1993-02-04 | 2003-08-19 | 10 | | Puffball | 1999-03-30 | 2003-08-19 | 4 | | Slim | 1996-04-29 | 2003-08-19 | 7 | | Whistler | 1997-12-09 | 2003-08-19 | 5 | +----------+------------+------------+------+
To sort the output by age rather than
name, just use a different ORDER
BY clause:
mysql>SELECT name, birth, CURDATE(),TIMESTAMPDIFF(YEAR,birth,CURDATE()) AS ageFROM pet ORDER BY age;+----------+------------+------------+------+ | name | birth | CURDATE() | age | +----------+------------+------------+------+ | Chirpy | 1998-09-11 | 2003-08-19 | 4 | | Puffball | 1999-03-30 | 2003-08-19 | 4 | | Whistler | 1997-12-09 | 2003-08-19 | 5 | | Slim | 1996-04-29 | 2003-08-19 | 7 | | Claws | 1994-03-17 | 2003-08-19 | 9 | | Fluffy | 1993-02-04 | 2003-08-19 | 10 | | Fang | 1990-08-27 | 2003-08-19 | 12 | | Bowser | 1989-08-31 | 2003-08-19 | 13 | | Buffy | 1989-05-13 | 2003-08-19 | 14 | +----------+------------+------------+------+
A similar query can be used to determine age at death for
animals that have died. You determine which animals these are
by checking whether the death value is
NULL. Then, for those with
non-NULL values, compute the difference
between the death and
birth values:
mysql>SELECT name, birth, death,TIMESTAMPDIFF(YEAR,birth,death) AS ageFROM pet WHERE death IS NOT NULL ORDER BY age;+--------+------------+------------+------+ | name | birth | death | age | +--------+------------+------------+------+ | Bowser | 1989-08-31 | 1995-07-29 | 5 | +--------+------------+------------+------+
The query uses death IS NOT NULL rather
than death <> NULL because
NULL is a special value that cannot be
compared using the usual comparison operators. This is
discussed later. See Section 3.3.4.6, “Working with NULL Values”.
What if you want to know which animals have birthdays next
month? For this type of calculation, year and day are
irrelevant; you simply want to extract the month part of the
birth column. MySQL provides several
functions for extracting parts of dates, such as
YEAR(),
MONTH(), and
DAYOFMONTH().
MONTH() is the appropriate
function here. To see how it works, run a simple query that
displays the value of both birth and
MONTH(birth):
mysql> SELECT name, birth, MONTH(birth) FROM pet;
+----------+------------+--------------+
| name | birth | MONTH(birth) |
+----------+------------+--------------+
| Fluffy | 1993-02-04 | 2 |
| Claws | 1994-03-17 | 3 |
| Buffy | 1989-05-13 | 5 |
| Fang | 1990-08-27 | 8 |
| Bowser | 1989-08-31 | 8 |
| Chirpy | 1998-09-11 | 9 |
| Whistler | 1997-12-09 | 12 |
| Slim | 1996-04-29 | 4 |
| Puffball | 1999-03-30 | 3 |
+----------+------------+--------------+
Finding animals with birthdays in the upcoming month is also
simple. Suppose that the current month is April. Then the
month value is 4 and you can look for
animals born in May (month 5) like this:
mysql> SELECT name, birth FROM pet WHERE MONTH(birth) = 5;
+-------+------------+
| name | birth |
+-------+------------+
| Buffy | 1989-05-13 |
+-------+------------+
There is a small complication if the current month is
December. You cannot merely add one to the month number
(12) and look for animals born in month
13, because there is no such month.
Instead, you look for animals born in January (month
1).
You can write the query so that it works no matter what the
current month is, so that you do not have to use the number
for a particular month.
DATE_ADD() enables you to add a
time interval to a given date. If you add a month to the value
of CURDATE(), then extract the
month part with MONTH(), the
result produces the month in which to look for birthdays:
mysql>SELECT name, birth FROM petWHERE MONTH(birth) = MONTH(DATE_ADD(CURDATE(),INTERVAL 1 MONTH));
A different way to accomplish the same task is to add
1 to get the next month after the current
one after using the modulo function (MOD)
to wrap the month value to 0 if it is
currently 12:
mysql>SELECT name, birth FROM petWHERE MONTH(birth) = MOD(MONTH(CURDATE()), 12) + 1;
MONTH() returns a number
between 1 and 12. And
MOD(something,12) returns a
number between 0 and 11.
So the addition has to be after the
MOD(), otherwise we would go
from November (11) to January
(1).
If a calculation uses invalid dates, the calculation fails and produces warnings:
mysql>SELECT '2018-10-31' + INTERVAL 1 DAY;+-------------------------------+ | '2018-10-31' + INTERVAL 1 DAY | +-------------------------------+ | 2018-11-01 | +-------------------------------+ mysql>SELECT '2018-10-32' + INTERVAL 1 DAY;+-------------------------------+ | '2018-10-32' + INTERVAL 1 DAY | +-------------------------------+ | NULL | +-------------------------------+ mysql>SHOW WARNINGS;+---------+------+----------------------------------------+ | Level | Code | Message | +---------+------+----------------------------------------+ | Warning | 1292 | Incorrect datetime value: '2018-10-32' | +---------+------+----------------------------------------+
The NULL value can be surprising until you
get used to it. Conceptually, NULL means
“a missing unknown value” and it is treated
somewhat differently from other values.
To test for NULL, use the
IS NULL and IS
NOT NULL operators, as shown here:
mysql> SELECT 1 IS NULL, 1 IS NOT NULL;
+-----------+---------------+
| 1 IS NULL | 1 IS NOT NULL |
+-----------+---------------+
| 0 | 1 |
+-----------+---------------+
You cannot use arithmetic comparison operators such as
=,
<, or
<> to
test for NULL. To demonstrate this for
yourself, try the following query:
mysql> SELECT 1 = NULL, 1 <> NULL, 1 < NULL, 1 > NULL;
+----------+-----------+----------+----------+
| 1 = NULL | 1 <> NULL | 1 < NULL | 1 > NULL |
+----------+-----------+----------+----------+
| NULL | NULL | NULL | NULL |
+----------+-----------+----------+----------+
Because the result of any arithmetic comparison with
NULL is also NULL, you
cannot obtain any meaningful results from such comparisons.
In MySQL, 0 or NULL
means false and anything else means true. The default truth
value from a boolean operation is 1.
This special treatment of NULL is why, in
the previous section, it was necessary to determine which
animals are no longer alive using death IS NOT
NULL instead of death <>
NULL.
Two NULL values are regarded as equal in a
GROUP BY.
When doing an ORDER BY,
NULL values are presented first if you do
ORDER BY ... ASC and last if you do
ORDER BY ... DESC.
A common error when working with NULL is to
assume that it is not possible to insert a zero or an empty
string into a column defined as NOT NULL,
but this is not the case. These are in fact values, whereas
NULL means “not having a
value.” You can test this easily enough by using
IS [NOT] NULL as shown:
mysql> SELECT 0 IS NULL, 0 IS NOT NULL, '' IS NULL, '' IS NOT NULL;
+-----------+---------------+------------+----------------+
| 0 IS NULL | 0 IS NOT NULL | '' IS NULL | '' IS NOT NULL |
+-----------+---------------+------------+----------------+
| 0 | 1 | 0 | 1 |
+-----------+---------------+------------+----------------+
Thus it is entirely possible to insert a zero or empty string
into a NOT NULL column, as these are in
fact NOT NULL. See
Section B.6.4.3, “Problems with NULL Values”.
MySQL provides standard SQL pattern matching as well as a form of pattern matching based on extended regular expressions similar to those used by Unix utilities such as vi, grep, and sed.
SQL pattern matching enables you to use _
to match any single character and % to
match an arbitrary number of characters (including zero
characters). In MySQL, SQL patterns are case-insensitive by
default. Some examples are shown here. Do not use
= or <> when you
use SQL patterns. Use the LIKE or
NOT LIKE comparison operators
instead.
To find names beginning with b:
mysql> SELECT * FROM pet WHERE name LIKE 'b%';
+--------+--------+---------+------+------------+------------+
| name | owner | species | sex | birth | death |
+--------+--------+---------+------+------------+------------+
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
| Bowser | Diane | dog | m | 1989-08-31 | 1995-07-29 |
+--------+--------+---------+------+------------+------------+
To find names ending with fy:
mysql> SELECT * FROM pet WHERE name LIKE '%fy';
+--------+--------+---------+------+------------+-------+
| name | owner | species | sex | birth | death |
+--------+--------+---------+------+------------+-------+
| Fluffy | Harold | cat | f | 1993-02-04 | NULL |
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
+--------+--------+---------+------+------------+-------+
To find names containing a w:
mysql> SELECT * FROM pet WHERE name LIKE '%w%';
+----------+-------+---------+------+------------+------------+
| name | owner | species | sex | birth | death |
+----------+-------+---------+------+------------+------------+
| Claws | Gwen | cat | m | 1994-03-17 | NULL |
| Bowser | Diane | dog | m | 1989-08-31 | 1995-07-29 |
| Whistler | Gwen | bird | NULL | 1997-12-09 | NULL |
+----------+-------+---------+------+------------+------------+
To find names containing exactly five characters, use five
instances of the _ pattern character:
mysql> SELECT * FROM pet WHERE name LIKE '_____';
+-------+--------+---------+------+------------+-------+
| name | owner | species | sex | birth | death |
+-------+--------+---------+------+------------+-------+
| Claws | Gwen | cat | m | 1994-03-17 | NULL |
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
+-------+--------+---------+------+------------+-------+
The other type of pattern matching provided by MySQL uses
extended regular expressions. When you test for a match for
this type of pattern, use the
REGEXP_LIKE() function (or the
REGEXP or
RLIKE
operators, which are synonyms for
REGEXP_LIKE()).
The following list describes some characteristics of extended regular expressions:
. matches any single character.
A character class [...] matches any
character within the brackets. For example,
[abc] matches a,
b, or c. To name a
range of characters, use a dash. [a-z]
matches any letter, whereas [0-9]
matches any digit.
* matches zero or more instances of the
thing preceding it. For example, x*
matches any number of x characters,
[0-9]* matches any number of digits,
and .* matches any number of anything.
A regular expression pattern match succeeds if the pattern
matches anywhere in the value being tested. (This differs
from a LIKE pattern match,
which succeeds only if the pattern matches the entire
value.)
To anchor a pattern so that it must match the beginning or
end of the value being tested, use ^ at
the beginning or $ at the end of the
pattern.
To demonstrate how extended regular expressions work, the
LIKE queries shown previously are
rewritten here to use
REGEXP_LIKE().
To find names beginning with b, use
^ to match the beginning of the name:
mysql> SELECT * FROM pet WHERE REGEXP_LIKE(name, '^b');
+--------+--------+---------+------+------------+------------+
| name | owner | species | sex | birth | death |
+--------+--------+---------+------+------------+------------+
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
| Bowser | Diane | dog | m | 1979-08-31 | 1995-07-29 |
+--------+--------+---------+------+------------+------------+
To force a regular expression comparison to be case sensitive,
use a case-sensitive collation, or use the
BINARY keyword to make one of the
strings a binary string, or specify the c
match-control character. Each of these queries matches only
lowercase b at the beginning of a name:
SELECT * FROM pet WHERE REGEXP_LIKE(name, '^b' COLLATE utf8mb4_0900_as_cs); SELECT * FROM pet WHERE REGEXP_LIKE(name, BINARY '^b'); SELECT * FROM pet WHERE REGEXP_LIKE(name, '^b', 'c');
To find names ending with fy, use
$ to match the end of the name:
mysql> SELECT * FROM pet WHERE REGEXP_LIKE(name, 'fy$');
+--------+--------+---------+------+------------+-------+
| name | owner | species | sex | birth | death |
+--------+--------+---------+------+------------+-------+
| Fluffy | Harold | cat | f | 1993-02-04 | NULL |
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
+--------+--------+---------+------+------------+-------+
To find names containing a w, use this
query:
mysql> SELECT * FROM pet WHERE REGEXP_LIKE(name, 'w');
+----------+-------+---------+------+------------+------------+
| name | owner | species | sex | birth | death |
+----------+-------+---------+------+------------+------------+
| Claws | Gwen | cat | m | 1994-03-17 | NULL |
| Bowser | Diane | dog | m | 1989-08-31 | 1995-07-29 |
| Whistler | Gwen | bird | NULL | 1997-12-09 | NULL |
+----------+-------+---------+------+------------+------------+
Because a regular expression pattern matches if it occurs anywhere in the value, it is not necessary in the previous query to put a wildcard on either side of the pattern to get it to match the entire value as would be true with an SQL pattern.
To find names containing exactly five characters, use
^ and $ to match the
beginning and end of the name, and five instances of
. in between:
mysql> SELECT * FROM pet WHERE REGEXP_LIKE(name, '^.....$');
+-------+--------+---------+------+------------+-------+
| name | owner | species | sex | birth | death |
+-------+--------+---------+------+------------+-------+
| Claws | Gwen | cat | m | 1994-03-17 | NULL |
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
+-------+--------+---------+------+------------+-------+
You could also write the previous query using the
{
(“repeat-n}n-times”)
operator:
mysql> SELECT * FROM pet WHERE REGEXP_LIKE(name, '^.{5}$');
+-------+--------+---------+------+------------+-------+
| name | owner | species | sex | birth | death |
+-------+--------+---------+------+------------+-------+
| Claws | Gwen | cat | m | 1994-03-17 | NULL |
| Buffy | Harold | dog | f | 1989-05-13 | NULL |
+-------+--------+---------+------+------------+-------+
For more information about the syntax for regular expressions, see Section 12.5.2, “Regular Expressions”.
Databases are often used to answer the question, “How often does a certain type of data occur in a table?” For example, you might want to know how many pets you have, or how many pets each owner has, or you might want to perform various kinds of census operations on your animals.
Counting the total number of animals you have is the same
question as “How many rows are in the
pet table?” because there is one
record per pet. COUNT(*) counts
the number of rows, so the query to count your animals looks
like this:
mysql> SELECT COUNT(*) FROM pet;
+----------+
| COUNT(*) |
+----------+
| 9 |
+----------+
Earlier, you retrieved the names of the people who owned pets.
You can use COUNT() if you want
to find out how many pets each owner has:
mysql> SELECT owner, COUNT(*) FROM pet GROUP BY owner;
+--------+----------+
| owner | COUNT(*) |
+--------+----------+
| Benny | 2 |
| Diane | 2 |
| Gwen | 3 |
| Harold | 2 |
+--------+----------+
The preceding query uses GROUP BY to group
all records for each owner. The use of
COUNT() in conjunction with
GROUP BY is useful for characterizing your
data under various groupings. The following examples show
different ways to perform animal census operations.
Number of animals per species:
mysql> SELECT species, COUNT(*) FROM pet GROUP BY species;
+---------+----------+
| species | COUNT(*) |
+---------+----------+
| bird | 2 |
| cat | 2 |
| dog | 3 |
| hamster | 1 |
| snake | 1 |
+---------+----------+
Number of animals per sex:
mysql> SELECT sex, COUNT(*) FROM pet GROUP BY sex;
+------+----------+
| sex | COUNT(*) |
+------+----------+
| NULL | 1 |
| f | 4 |
| m | 4 |
+------+----------+
(In this output, NULL indicates that the
sex is unknown.)
Number of animals per combination of species and sex:
mysql> SELECT species, sex, COUNT(*) FROM pet GROUP BY species, sex;
+---------+------+----------+
| species | sex | COUNT(*) |
+---------+------+----------+
| bird | NULL | 1 |
| bird | f | 1 |
| cat | f | 1 |
| cat | m | 1 |
| dog | f | 1 |
| dog | m | 2 |
| hamster | f | 1 |
| snake | m | 1 |
+---------+------+----------+
You need not retrieve an entire table when you use
COUNT(). For example, the
previous query, when performed just on dogs and cats, looks
like this:
mysql>SELECT species, sex, COUNT(*) FROM petWHERE species = 'dog' OR species = 'cat'GROUP BY species, sex;+---------+------+----------+ | species | sex | COUNT(*) | +---------+------+----------+ | cat | f | 1 | | cat | m | 1 | | dog | f | 1 | | dog | m | 2 | +---------+------+----------+
Or, if you wanted the number of animals per sex only for animals whose sex is known:
mysql>SELECT species, sex, COUNT(*) FROM petWHERE sex IS NOT NULLGROUP BY species, sex;+---------+------+----------+ | species | sex | COUNT(*) | +---------+------+----------+ | bird | f | 1 | | cat | f | 1 | | cat | m | 1 | | dog | f | 1 | | dog | m | 2 | | hamster | f | 1 | | snake | m | 1 | +---------+------+----------+
If you name columns to select in addition to the
COUNT() value, a GROUP
BY clause should be present that names those same
columns. Otherwise, the following occurs:
If the
ONLY_FULL_GROUP_BY SQL
mode is enabled, an error occurs:
mysql>SET sql_mode = 'ONLY_FULL_GROUP_BY';Query OK, 0 rows affected (0.00 sec) mysql>SELECT owner, COUNT(*) FROM pet;ERROR 1140 (42000): In aggregated query without GROUP BY, expression #1 of SELECT list contains nonaggregated column 'menagerie.pet.owner'; this is incompatible with sql_mode=only_full_group_by
If ONLY_FULL_GROUP_BY is
not enabled, the query is processed by treating all rows
as a single group, but the value selected for each named
column is nondeterministic. The server is free to select
the value from any row:
mysql>SET sql_mode = '';Query OK, 0 rows affected (0.00 sec) mysql>SELECT owner, COUNT(*) FROM pet;+--------+----------+ | owner | COUNT(*) | +--------+----------+ | Harold | 8 | +--------+----------+ 1 row in set (0.00 sec)
See also Section 12.20.3, “MySQL Handling of GROUP BY”. See
Section 12.20.1, “Aggregate (GROUP BY) Function Descriptions” for information about
COUNT(
behavior and related optimizations.
expr)
The pet table keeps track of which pets you
have. If you want to record other information about them, such
as events in their lives like visits to the vet or when
litters are born, you need another table. What should this
table look like? It needs to contain the following
information:
The pet name so that you know which animal each event pertains to.
A date so that you know when the event occurred.
A field to describe the event.
An event type field, if you want to be able to categorize events.
Given these considerations, the CREATE
TABLE statement for the event
table might look like this:
mysql>CREATE TABLE event (name VARCHAR(20), date DATE,type VARCHAR(15), remark VARCHAR(255));
As with the pet table, it is easiest to
load the initial records by creating a tab-delimited text file
containing the following information.
| name | date | type | remark |
|---|---|---|---|
| Fluffy | 1995-05-15 | litter | 4 kittens, 3 female, 1 male |
| Buffy | 1993-06-23 | litter | 5 puppies, 2 female, 3 male |
| Buffy | 1994-06-19 | litter | 3 puppies, 3 female |
| Chirpy | 1999-03-21 | vet | needed beak straightened |
| Slim | 1997-08-03 | vet | broken rib |
| Bowser | 1991-10-12 | kennel | |
| Fang | 1991-10-12 | kennel | |
| Fang | 1998-08-28 | birthday | Gave him a new chew toy |
| Claws | 1998-03-17 | birthday | Gave him a new flea collar |
| Whistler | 1998-12-09 | birthday | First birthday |
Load the records like this:
mysql> LOAD DATA LOCAL INFILE 'event.txt' INTO TABLE event;
Based on what you have learned from the queries that you have
run on the pet table, you should be able to
perform retrievals on the records in the
event table; the principles are the same.
But when is the event table by itself
insufficient to answer questions you might ask?
Suppose that you want to find out the ages at which each pet
had its litters. We saw earlier how to calculate ages from two
dates. The litter date of the mother is in the
event table, but to calculate her age on
that date you need her birth date, which is stored in the
pet table. This means the query requires
both tables:
mysql>SELECT pet.name,TIMESTAMPDIFF(YEAR,birth,date) AS age,remarkFROM pet INNER JOIN eventON pet.name = event.nameWHERE event.type = 'litter';+--------+------+-----------------------------+ | name | age | remark | +--------+------+-----------------------------+ | Fluffy | 2 | 4 kittens, 3 female, 1 male | | Buffy | 4 | 5 puppies, 2 female, 3 male | | Buffy | 5 | 3 puppies, 3 female | +--------+------+-----------------------------+
There are several things to note about this query:
The FROM clause joins two tables
because the query needs to pull information from both of
them.
When combining (joining) information from multiple tables,
you need to specify how records in one table can be
matched to records in the other. This is easy because they
both have a name column. The query uses
an ON clause to match up records in the
two tables based on the name values.
The query uses an INNER JOIN to combine
the tables. An INNER JOIN permits rows
from either table to appear in the result if and only if
both tables meet the conditions specified in the
ON clause. In this example, the
ON clause specifies that the
name column in the
pet table must match the
name column in the
event table. If a name appears in one
table but not the other, the row will not appear in the
result because the condition in the ON
clause fails.
Because the name column occurs in both
tables, you must be specific about which table you mean
when referring to the column. This is done by prepending
the table name to the column name.
You need not have two different tables to perform a join.
Sometimes it is useful to join a table to itself, if you want
to compare records in a table to other records in that same
table. For example, to find breeding pairs among your pets,
you can join the pet table with itself to
produce candidate pairs of live males and females of like
species:
mysql>SELECT p1.name, p1.sex, p2.name, p2.sex, p1.speciesFROM pet AS p1 INNER JOIN pet AS p2ON p1.species = p2.speciesAND p1.sex = 'f' AND p1.death IS NULLAND p2.sex = 'm' AND p2.death IS NULL;+--------+------+-------+------+---------+ | name | sex | name | sex | species | +--------+------+-------+------+---------+ | Fluffy | f | Claws | m | cat | | Buffy | f | Fang | m | dog | +--------+------+-------+------+---------+
In this query, we specify aliases for the table name to refer to the columns and keep straight which instance of the table each column reference is associated with.
What if you forget the name of a database or table, or what the structure of a given table is (for example, what its columns are called)? MySQL addresses this problem through several statements that provide information about the databases and tables it supports.
You have previously seen SHOW
DATABASES, which lists the databases managed by the
server. To find out which database is currently selected, use the
DATABASE() function:
mysql> SELECT DATABASE();
+------------+
| DATABASE() |
+------------+
| menagerie |
+------------+
If you have not yet selected any database, the result is
NULL.
To find out what tables the default database contains (for example, when you are not sure about the name of a table), use this statement:
mysql> SHOW TABLES;
+---------------------+
| Tables_in_menagerie |
+---------------------+
| event |
| pet |
+---------------------+
The name of the column in the output produced by this statement is
always
Tables_in_,
where db_namedb_name is the name of the
database. See Section 13.7.6.37, “SHOW TABLES Syntax”, for more information.
If you want to find out about the structure of a table, the
DESCRIBE statement is useful; it
displays information about each of a table's columns:
mysql> DESCRIBE pet;
+---------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-----+---------+-------+
| name | varchar(20) | YES | | NULL | |
| owner | varchar(20) | YES | | NULL | |
| species | varchar(20) | YES | | NULL | |
| sex | char(1) | YES | | NULL | |
| birth | date | YES | | NULL | |
| death | date | YES | | NULL | |
+---------+-------------+------+-----+---------+-------+
Field indicates the column name,
Type is the data type for the column,
NULL indicates whether the column can contain
NULL values, Key indicates
whether the column is indexed, and Default
specifies the column's default value. Extra
displays special information about columns: If a column was
created with the AUTO_INCREMENT option, the
value will be auto_increment rather than empty.
DESC is a short form of
DESCRIBE. See
Section 13.8.1, “DESCRIBE Syntax”, for more information.
You can obtain the CREATE TABLE
statement necessary to create an existing table using the
SHOW CREATE TABLE statement. See
Section 13.7.6.10, “SHOW CREATE TABLE Syntax”.
If you have indexes on a table, SHOW INDEX FROM
produces information
about them. See Section 13.7.6.22, “SHOW INDEX Syntax”, for more about this
statement.
tbl_name
In the previous sections, you used mysql interactively to enter statements and view the results. You can also run mysql in batch mode. To do this, put the statements you want to run in a file, then tell mysql to read its input from the file:
shell> mysql < batch-file
If you are running mysql under Windows and have some special characters in the file that cause problems, you can do this:
C:\> mysql -e "source batch-file"
If you need to specify connection parameters on the command line, the command might look like this:
shell>mysql -hEnter password:host-uuser-p <batch-file********
When you use mysql this way, you are creating a script file, then executing the script.
If you want the script to continue even if some of the statements
in it produce errors, you should use the
--force command-line option.
Why use a script? Here are a few reasons:
If you run a query repeatedly (say, every day or every week), making it a script enables you to avoid retyping it each time you execute it.
You can generate new queries from existing ones that are similar by copying and editing script files.
Batch mode can also be useful while you're developing a query, particularly for multiple-line statements or multiple-statement sequences. If you make a mistake, you don't have to retype everything. Just edit your script to correct the error, then tell mysql to execute it again.
If you have a query that produces a lot of output, you can run the output through a pager rather than watching it scroll off the top of your screen:
shell> mysql < batch-file | more
You can catch the output in a file for further processing:
shell> mysql < batch-file > mysql.out
You can distribute your script to other people so that they can also run the statements.
Some situations do not allow for interactive use, for example, when you run a query from a cron job. In this case, you must use batch mode.
The default output format is different (more concise) when you run
mysql in batch mode than when you use it
interactively. For example, the output of SELECT DISTINCT
species FROM pet looks like this when
mysql is run interactively:
+---------+ | species | +---------+ | bird | | cat | | dog | | hamster | | snake | +---------+
In batch mode, the output looks like this instead:
species bird cat dog hamster snake
If you want to get the interactive output format in batch mode, use mysql -t. To echo to the output the statements that are executed, use mysql -v.
You can also use scripts from the mysql prompt
by using the source command or
\. command:
mysql>sourcemysql>filename;\.filename
See Section 4.5.1.5, “Executing SQL Statements from a Text File”, for more information.
Here are examples of how to solve some common problems with MySQL.
Some of the examples use the table shop to hold
the price of each article (item number) for certain traders
(dealers). Supposing that each trader has a single fixed price per
article, then (article,
dealer) is a primary key for the records.
Start the command-line tool mysql and select a database:
shell> mysql your-database-name
To create and populate the example table, use these statements:
CREATE TABLE shop (
article INT(4) UNSIGNED ZEROFILL DEFAULT '0000' NOT NULL,
dealer CHAR(20) DEFAULT '' NOT NULL,
price DOUBLE(16,2) DEFAULT '0.00' NOT NULL,
PRIMARY KEY(article, dealer));
INSERT INTO shop VALUES
(1,'A',3.45),(1,'B',3.99),(2,'A',10.99),(3,'B',1.45),
(3,'C',1.69),(3,'D',1.25),(4,'D',19.95);
After issuing the statements, the table should have the following contents:
SELECT * FROM shop ORDER BY article; +---------+--------+-------+ | article | dealer | price | +---------+--------+-------+ | 0001 | A | 3.45 | | 0001 | B | 3.99 | | 0002 | A | 10.99 | | 0003 | B | 1.45 | | 0003 | C | 1.69 | | 0003 | D | 1.25 | | 0004 | D | 19.95 | +---------+--------+-------+
“What is the highest item number?”
SELECT MAX(article) AS article FROM shop; +---------+ | article | +---------+ | 4 | +---------+
Task: Find the number, dealer, and price of the most expensive article.
This is easily done with a subquery:
SELECT article, dealer, price FROM shop WHERE price=(SELECT MAX(price) FROM shop); +---------+--------+-------+ | article | dealer | price | +---------+--------+-------+ | 0004 | D | 19.95 | +---------+--------+-------+
Other solutions are to use a LEFT JOIN or to
sort all rows descending by price and get only the first row
using the MySQL-specific LIMIT clause:
SELECT s1.article, s1.dealer, s1.price FROM shop s1 LEFT JOIN shop s2 ON s1.price < s2.price WHERE s2.article IS NULL; SELECT article, dealer, price FROM shop ORDER BY price DESC LIMIT 1;
If there were several most expensive articles, each with a
price of 19.95, the LIMIT solution would
show only one of them.
Task: Find the highest price per article.
SELECT article, MAX(price) AS price FROM shop GROUP BY article ORDER BY article; +---------+-------+ | article | price | +---------+-------+ | 0001 | 3.99 | | 0002 | 10.99 | | 0003 | 1.69 | | 0004 | 19.95 | +---------+-------+
Task: For each article, find the dealer or dealers with the most expensive price.
This problem can be solved with a subquery like this one:
SELECT article, dealer, price
FROM shop s1
WHERE price=(SELECT MAX(s2.price)
FROM shop s2
WHERE s1.article = s2.article)
ORDER BY article;
+---------+--------+-------+
| article | dealer | price |
+---------+--------+-------+
| 0001 | B | 3.99 |
| 0002 | A | 10.99 |
| 0003 | C | 1.69 |
| 0004 | D | 19.95 |
+---------+--------+-------+
The preceding example uses a correlated subquery, which can be
inefficient (see Section 13.2.11.7, “Correlated Subqueries”). Other
possibilities for solving the problem are to use an uncorrelated
subquery in the FROM clause, a LEFT
JOIN, or a common table expression with a window
function.
Uncorrelated subquery:
SELECT s1.article, dealer, s1.price FROM shop s1 JOIN ( SELECT article, MAX(price) AS price FROM shop GROUP BY article) AS s2 ON s1.article = s2.article AND s1.price = s2.price ORDER BY article;
LEFT JOIN:
SELECT s1.article, s1.dealer, s1.price FROM shop s1 LEFT JOIN shop s2 ON s1.article = s2.article AND s1.price < s2.price WHERE s2.article IS NULL ORDER BY s1.article;
The LEFT JOIN works on the basis that when
s1.price is at its maximum value, there is no
s2.price with a greater value and thus the
corresponding s2.article value is
NULL. See Section 13.2.10.2, “JOIN Syntax”.
Common table expression with window function:
WITH s1 AS (
SELECT article, dealer, price,
RANK() OVER (PARTITION BY article
ORDER BY price DESC
) AS `Rank`
FROM shop
)
SELECT article, dealer, price
FROM s1
WHERE `Rank` = 1
ORDER BY article;
You can employ MySQL user variables to remember results without having to store them in temporary variables in the client. (See Section 9.4, “User-Defined Variables”.)
For example, to find the articles with the highest and lowest price you can do this:
mysql>SELECT @min_price:=MIN(price),@max_price:=MAX(price) FROM shop;mysql>SELECT * FROM shop WHERE price=@min_price OR price=@max_price;+---------+--------+-------+ | article | dealer | price | +---------+--------+-------+ | 0003 | D | 1.25 | | 0004 | D | 19.95 | +---------+--------+-------+
It is also possible to store the name of a database object such as a table or a column in a user variable and then to use this variable in an SQL statement; however, this requires the use of a prepared statement. See Section 13.5, “Prepared SQL Statement Syntax”, for more information.
In MySQL, InnoDB tables support checking of
foreign key constraints. See
Chapter 15, The InnoDB Storage Engine, and
Section 1.8.2.3, “Foreign Key Differences”.
A foreign key constraint is not required merely to join two
tables. For storage engines other than
InnoDB, it is possible when defining a column
to use a REFERENCES
clause, which has no actual effect, and serves only as
a memo or comment to you that the column which you are currently
defining is intended to refer to a column in another
table. It is extremely important to realize when
using this syntax that:
tbl_name(col_name)
MySQL does not perform any sort of check to make sure that
col_name actually exists in
tbl_name (or even that
tbl_name itself exists).
MySQL does not perform any sort of action on
tbl_name such as deleting rows in
response to actions taken on rows in the table which you are
defining; in other words, this syntax induces no ON
DELETE or ON UPDATE behavior
whatsoever. (Although you can write an ON
DELETE or ON UPDATE clause as
part of the REFERENCES clause, it is also
ignored.)
This syntax creates a column; it does not create any sort of index or key.
You can use a column so created as a join column, as shown here:
CREATE TABLE person (
id SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT,
name CHAR(60) NOT NULL,
PRIMARY KEY (id)
);
CREATE TABLE shirt (
id SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT,
style ENUM('t-shirt', 'polo', 'dress') NOT NULL,
color ENUM('red', 'blue', 'orange', 'white', 'black') NOT NULL,
owner SMALLINT UNSIGNED NOT NULL REFERENCES person(id),
PRIMARY KEY (id)
);
INSERT INTO person VALUES (NULL, 'Antonio Paz');
SELECT @last := LAST_INSERT_ID();
INSERT INTO shirt VALUES
(NULL, 'polo', 'blue', @last),
(NULL, 'dress', 'white', @last),
(NULL, 't-shirt', 'blue', @last);
INSERT INTO person VALUES (NULL, 'Lilliana Angelovska');
SELECT @last := LAST_INSERT_ID();
INSERT INTO shirt VALUES
(NULL, 'dress', 'orange', @last),
(NULL, 'polo', 'red', @last),
(NULL, 'dress', 'blue', @last),
(NULL, 't-shirt', 'white', @last);
SELECT * FROM person;
+----+---------------------+
| id | name |
+----+---------------------+
| 1 | Antonio Paz |
| 2 | Lilliana Angelovska |
+----+---------------------+
SELECT * FROM shirt;
+----+---------+--------+-------+
| id | style | color | owner |
+----+---------+--------+-------+
| 1 | polo | blue | 1 |
| 2 | dress | white | 1 |
| 3 | t-shirt | blue | 1 |
| 4 | dress | orange | 2 |
| 5 | polo | red | 2 |
| 6 | dress | blue | 2 |
| 7 | t-shirt | white | 2 |
+----+---------+--------+-------+
SELECT s.* FROM person p INNER JOIN shirt s
ON s.owner = p.id
WHERE p.name LIKE 'Lilliana%'
AND s.color <> 'white';
+----+-------+--------+-------+
| id | style | color | owner |
+----+-------+--------+-------+
| 4 | dress | orange | 2 |
| 5 | polo | red | 2 |
| 6 | dress | blue | 2 |
+----+-------+--------+-------+
When used in this fashion, the REFERENCES
clause is not displayed in the output of
SHOW CREATE TABLE or
DESCRIBE:
SHOW CREATE TABLE shirt\G
*************************** 1. row ***************************
Table: shirt
Create Table: CREATE TABLE `shirt` (
`id` smallint(5) unsigned NOT NULL auto_increment,
`style` enum('t-shirt','polo','dress') NOT NULL,
`color` enum('red','blue','orange','white','black') NOT NULL,
`owner` smallint(5) unsigned NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4
The use of REFERENCES in this way as a
comment or “reminder” in a column definition works
with MyISAM tables.
An OR using a single key is well
optimized, as is the handling of
AND.
The one tricky case is that of searching on two different keys
combined with OR:
SELECT field1_index, field2_index FROM test_table WHERE field1_index = '1' OR field2_index = '1'
This case is optimized. See Section 8.2.1.3, “Index Merge Optimization”.
You can also solve the problem efficiently by using a
UNION that combines the output of
two separate SELECT statements.
See Section 13.2.10.3, “UNION Syntax”.
Each SELECT searches only one key
and can be optimized:
SELECT field1_index, field2_index
FROM test_table WHERE field1_index = '1'
UNION
SELECT field1_index, field2_index
FROM test_table WHERE field2_index = '1';
The following example shows how you can use the bit group functions to calculate the number of days per month a user has visited a Web page.
CREATE TABLE t1 (year YEAR(4), month INT(2) UNSIGNED ZEROFILL,
day INT(2) UNSIGNED ZEROFILL);
INSERT INTO t1 VALUES(2000,1,1),(2000,1,20),(2000,1,30),(2000,2,2),
(2000,2,23),(2000,2,23);
The example table contains year-month-day values representing visits by users to the page. To determine how many different days in each month these visits occur, use this query:
SELECT year,month,BIT_COUNT(BIT_OR(1<<day)) AS days FROM t1
GROUP BY year,month;
Which returns:
+------+-------+------+ | year | month | days | +------+-------+------+ | 2000 | 01 | 3 | | 2000 | 02 | 2 | +------+-------+------+
The query calculates how many different days appear in the table for each year/month combination, with automatic removal of duplicate entries.
The AUTO_INCREMENT attribute can be used to
generate a unique identity for new rows:
CREATE TABLE animals (
id MEDIUMINT NOT NULL AUTO_INCREMENT,
name CHAR(30) NOT NULL,
PRIMARY KEY (id)
);
INSERT INTO animals (name) VALUES
('dog'),('cat'),('penguin'),
('lax'),('whale'),('ostrich');
SELECT * FROM animals;
Which returns:
+----+---------+ | id | name | +----+---------+ | 1 | dog | | 2 | cat | | 3 | penguin | | 4 | lax | | 5 | whale | | 6 | ostrich | +----+---------+
No value was specified for the AUTO_INCREMENT
column, so MySQL assigned sequence numbers automatically. You
can also explicitly assign 0 to the column to generate sequence
numbers, unless the
NO_AUTO_VALUE_ON_ZERO SQL mode
is enabled. For example:
INSERT INTO animals (id,name) VALUES(0,'groundhog');
If the column is declared NOT NULL, it is
also possible to assign NULL to the column to
generate sequence numbers. For example:
INSERT INTO animals (id,name) VALUES(NULL,'squirrel');
When you insert any other value into an
AUTO_INCREMENT column, the column is set to
that value and the sequence is reset so that the next
automatically generated value follows sequentially from the
largest column value. For example:
INSERT INTO animals (id,name) VALUES(100,'rabbit');INSERT INTO animals (id,name) VALUES(NULL,'mouse');SELECT * FROM animals;+-----+-----------+ | id | name | +-----+-----------+ | 1 | dog | | 2 | cat | | 3 | penguin | | 4 | lax | | 5 | whale | | 6 | ostrich | | 7 | groundhog | | 8 | squirrel | | 100 | rabbit | | 101 | mouse | +-----+-----------+
Updating an existing AUTO_INCREMENT column
value also resets the AUTO_INCREMENT
sequence.
You can retrieve the most recent automatically generated
AUTO_INCREMENT value with the
LAST_INSERT_ID() SQL function or
the mysql_insert_id() C API
function. These functions are connection-specific, so their
return values are not affected by another connection which is
also performing inserts.
Use the smallest integer data type for the
AUTO_INCREMENT column that is large enough to
hold the maximum sequence value you will need. When the column
reaches the upper limit of the data type, the next attempt to
generate a sequence number fails. Use the
UNSIGNED attribute if possible to allow a
greater range. For example, if you use
TINYINT, the maximum permissible
sequence number is 127. For
TINYINT
UNSIGNED, the maximum is 255. See
Section 11.2.1, “Integer Types (Exact Value) - INTEGER, INT, SMALLINT, TINYINT,
MEDIUMINT, BIGINT” for the ranges of all the
integer types.
For a multiple-row insert,
LAST_INSERT_ID() and
mysql_insert_id() actually
return the AUTO_INCREMENT key from the
first of the inserted rows. This enables
multiple-row inserts to be reproduced correctly on other
servers in a replication setup.
To start with an AUTO_INCREMENT value other
than 1, set that value with CREATE
TABLE or ALTER TABLE,
like this:
mysql> ALTER TABLE tbl AUTO_INCREMENT = 100;
For information about AUTO_INCREMENT usage
specific to InnoDB, see
Section 15.6.1.4, “AUTO_INCREMENT Handling in InnoDB”.
For MyISAM tables, you can specify
AUTO_INCREMENT on a secondary column in
a multiple-column index. In this case, the generated value
for the AUTO_INCREMENT column is
calculated as
MAX(.
This is useful when you want to put data into ordered
groups.
auto_increment_column)
+ 1 WHERE
prefix=given-prefix
CREATE TABLE animals (
grp ENUM('fish','mammal','bird') NOT NULL,
id MEDIUMINT NOT NULL AUTO_INCREMENT,
name CHAR(30) NOT NULL,
PRIMARY KEY (grp,id)
) ENGINE=MyISAM;
INSERT INTO animals (grp,name) VALUES
('mammal','dog'),('mammal','cat'),
('bird','penguin'),('fish','lax'),('mammal','whale'),
('bird','ostrich');
SELECT * FROM animals ORDER BY grp,id;
Which returns:
+--------+----+---------+ | grp | id | name | +--------+----+---------+ | fish | 1 | lax | | mammal | 1 | dog | | mammal | 2 | cat | | mammal | 3 | whale | | bird | 1 | penguin | | bird | 2 | ostrich | +--------+----+---------+
In this case (when the AUTO_INCREMENT
column is part of a multiple-column index),
AUTO_INCREMENT values are reused if you
delete the row with the biggest
AUTO_INCREMENT value in any group. This
happens even for MyISAM tables, for
which AUTO_INCREMENT values normally
are not reused.
If the AUTO_INCREMENT column is part of
multiple indexes, MySQL generates sequence values using
the index that begins with the
AUTO_INCREMENT column, if there is one.
For example, if the animals table
contained indexes PRIMARY KEY (grp, id)
and INDEX (id), MySQL would ignore the
PRIMARY KEY for generating sequence
values. As a result, the table would contain a single
sequence, not a sequence per grp value.
More information about AUTO_INCREMENT is
available here:
How to assign the AUTO_INCREMENT
attribute to a column: Section 13.1.20, “CREATE TABLE Syntax”, and
Section 13.1.9, “ALTER TABLE Syntax”.
How AUTO_INCREMENT behaves depending on
the
NO_AUTO_VALUE_ON_ZERO
SQL mode: Section 5.1.11, “Server SQL Modes”.
How to use the
LAST_INSERT_ID() function
to find the row that contains the most recent
AUTO_INCREMENT value:
Section 12.15, “Information Functions”.
Setting the AUTO_INCREMENT value to be
used: Section 5.1.8, “Server System Variables”.
AUTO_INCREMENT and replication:
Section 17.4.1.1, “Replication and AUTO_INCREMENT”.
Server-system variables related to
AUTO_INCREMENT
(auto_increment_increment
and
auto_increment_offset)
that can be used for replication:
Section 5.1.8, “Server System Variables”.
There are programs that let you authenticate your users from a MySQL database and also let you write your log files into a MySQL table.
You can change the Apache logging format to be easily readable by MySQL by putting the following into the Apache configuration file:
LogFormat \
"\"%h\",%{%Y%m%d%H%M%S}t,%>s,\"%b\",\"%{Content-Type}o\", \
\"%U\",\"%{Referer}i\",\"%{User-Agent}i\""
To load a log file in that format into MySQL, you can use a statement something like this:
LOAD DATA INFILE '/local/access_log' INTO TABLEtbl_nameFIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' ESCAPED BY '\\'
The named table should be created to have columns that correspond
to those that the LogFormat line writes to the
log file.