[STRAIGHT_JOIN]
[SQL_SMALL_RESULT] [SQL_BIG_RESULT] [SQL_BUFFER_RESULT]
[SQL_NO_CACHE] [SQL_CALC_FOUND_ROWS]
select_expr
[,
select_expr
] ...
[
into_option
]
[FROM
table_references
[PARTITION
partition_list
]]
[WHERE
where_condition
]
[GROUP BY {
col_name
|
expr
|
position
}, ... [WITH ROLLUP]]
[HAVING
where_condition
]
[WINDOW
window_name
AS (
window_spec
)
[,
window_name
AS (
window_spec
)] ...]
[ORDER BY {
col_name
|
expr
|
position
}
[ASC | DESC], ... [WITH ROLLUP]]
[LIMIT {[
offset
,]
row_count
|
row_count
OFFSET
offset
}]
[
into_option
]
[FOR {UPDATE | SHARE}
[OF
tbl_name
[,
tbl_name
] ...]
[NOWAIT | SKIP LOCKED]
| LOCK IN SHARE MODE]
[
into_option
]
into_option
: {
INTO OUTFILE '
file_name
'
[CHARACTER SET
charset_name
]
export_options
| INTO DUMPFILE '
file_name
'
| INTO
var_name
[,
var_name
] ...
SELECT
is used to retrieve rows
selected from one or more tables, and can include
UNION
operations and subqueries.
Beginning with MySQL 8.0.31,
INTERSECT
and
EXCEPT
operations are also
supported. The
UNION
,
INTERSECT
, and
EXCEPT
operators are described in more detail later in this section. See
also
Section 15.2.15, “Subqueries”
.
A
SELECT
statement can start with a
WITH
clause to define common table
expressions accessible within the
SELECT
. See
Section 15.2.20, “WITH (Common Table Expressions)”
.
The most commonly used clauses of
SELECT
statements are these:
Each
select_expr
indicates a column
that you want to retrieve. There must be at least one
select_expr
.
table_references
indicates the
table or tables from which to retrieve rows. Its syntax is
described in
Section 15.2.13.2, “JOIN Clause”
.
SELECT
supports explicit partition
selection using the
PARTITION
clause with a
list of partitions or subpartitions (or both) following the
name of the table in a
table_reference
(see
Section 15.2.13.2, “JOIN Clause”
). In this case, rows are selected only
from the partitions listed, and any other partitions of the
table are ignored. For more information and examples, see
Section 26.5, “Partition Selection”
.
The
WHERE
clause, if given, indicates the
condition or conditions that rows must satisfy to be selected.
where_condition
is an expression
that evaluates to true for each row to be selected. The
statement selects all rows if there is no
WHERE
clause.
In the
WHERE
expression, you can use any of
the functions and operators that MySQL supports, except for
aggregate (group) functions. See
Section 11.5, “Expressions”
, and
Chapter 14,
Functions and Operators
.
SELECT
can also be used to retrieve
rows computed without reference to any table.
For example:
mysql> SELECT 1 + 1;
You are permitted to specify DUAL as a dummy
table name in situations where no tables are referenced:
mysql> SELECT 1 + 1 FROM DUAL;
DUAL is purely for the convenience of people
who require that all SELECT
statements should have FROM and possibly other
clauses. MySQL may ignore the clauses. MySQL does not require
FROM DUAL if no tables are referenced.
In general, clauses used must be given in exactly the order shown
in the syntax description. For example, a
HAVING clause must come after any
GROUP BY clause and before any ORDER
BY clause. The INTO clause, if
present, can appear in any position indicated by the syntax
description, but within a given statement can appear only once,
not in multiple positions. For more information about
INTO, see Section 15.2.13.1, “SELECT ... INTO Statement”.
The list of select_expr terms comprises
the select list that indicates which columns to retrieve. Terms
specify a column or expression or can use
*-shorthand:
A select list consisting only of a single unqualified
* can be used as shorthand to select all
columns from all tables:
SELECT * FROM t1 INNER JOIN t2 ...
tbl_name.* can
be used as a qualified shorthand to select all columns from
the named table:
SELECT t1.*, t2.* FROM t1 INNER JOIN t2 ...
If a table has invisible columns, * and
tbl_name.* do
not include them. To be included, invisible columns must be
referenced explicitly.
Use of an unqualified * with other items in
the select list may produce a parse error. For example:
SELECT id, * FROM t1
To avoid this problem, use a qualified
tbl_name.*
reference:
SELECT id, t1.* FROM t1
Use qualified
tbl_name.*
references for each table in the select list:
SELECT AVG(score), t1.* FROM t1 ...
The following list provides additional information about other
SELECT clauses:
alias_name. The alias is
used as the expression's column name and can be used in
GROUP BY, ORDER BY, or
HAVING clauses. For example:
SELECT CONCAT(last_name,', ',first_name) AS full_name
FROM mytable ORDER BY full_name;
The AS keyword is optional when aliasing a
select_expr with an identifier. The
preceding example could have been written like this:
SELECT CONCAT(last_name,', ',first_name) full_name
FROM mytable ORDER BY full_name;
However, because the AS is optional, a
subtle problem can occur if you forget the comma between two
select_expr expressions: MySQL
interprets the second as an alias name. For example, in the
following statement, columnb is treated as
an alias name:
SELECT columna columnb FROM mytable;
For this reason, it is good practice to be in the habit of
using AS explicitly when specifying column
aliases.
It is not permissible to refer to a column alias in a
WHERE clause, because the column value
might not yet be determined when the WHERE
clause is executed. See Section B.3.4.4, “Problems with Column Aliases”.
The FROM
table_references clause
indicates the table or tables from which to retrieve rows. If
you name more than one table, you are performing a join. For
information on join syntax, see Section 15.2.13.2, “JOIN Clause”. For
each table specified, you can optionally specify an alias.
SELECT t1.name, t2.salary FROM employee AS t1, info AS t2
WHERE t1.name = t2.name;
SELECT t1.name, t2.salary FROM employee t1, info t2
WHERE t1.name = t2.name;
Columns selected for output can be referred to in
ORDER BY and GROUP BY
clauses using column names, column aliases, or column
positions. Column positions are integers and begin with 1:
SELECT college, region, seed FROM tournament
ORDER BY region, seed;
SELECT college, region AS r, seed AS s FROM tournament
ORDER BY r, s;
SELECT college, region, seed FROM tournament
ORDER BY 2, 3;
To sort in reverse order, add the DESC
(descending) keyword to the name of the column in the
ORDER BY clause that you are sorting by.
The default is ascending order; this can be specified
explicitly using the ASC keyword.
If ORDER BY occurs within a parenthesized
query expression and also is applied in the outer query, the
results are undefined and may change in a future version of
MySQL.
Use of column positions is deprecated because the syntax has
been removed from the SQL standard.
Prior to MySQL 8.0.13, MySQL supported a nonstandard syntax
extension that permitted explicit ASC or
DESC designators for GROUP
BY columns. MySQL 8.0.12 and later supports
ORDER BY with grouping functions so that
use of this extension is no longer necessary. (Bug #86312, Bug
#26073525) This also means you can sort on an arbitrary column
or columns when using GROUP BY, like this:
SELECT a, b, COUNT(c) AS t FROM test_table GROUP BY a,b ORDER BY a,t DESC;
As of MySQL 8.0.13, the GROUP BY extension
is no longer supported: ASC or
DESC designators for GROUP
BY columns are not permitted.
BY to sort a column in a
SELECT, the server sorts values
using only the initial number of bytes indicated by the
max_sort_length system
variable.
MySQL extends the use of GROUP BY to permit
selecting fields that are not mentioned in the GROUP
BY clause. If you are not getting the results that
you expect from your query, please read the description of
GROUP BY found in
Section 14.19, “Aggregate Functions”.
GROUP BY permits a WITH
ROLLUP modifier. See
Section 14.19.2, “GROUP BY Modifiers”.
Previously, it was not permitted to use ORDER
BY in a query having a WITH
ROLLUP modifier. This restriction is lifted as of
MySQL 8.0.12. See Section 14.19.2, “GROUP BY Modifiers”.
The HAVING clause, like the
WHERE clause, specifies selection
conditions. The WHERE clause specifies
conditions on columns in the select list, but cannot refer to
aggregate functions. The HAVING clause
specifies conditions on groups, typically formed by the
GROUP BY clause. The query result includes
only groups satisfying the HAVING
conditions. (If no GROUP BY is present, all
rows implicitly form a single aggregate group.)
The HAVING clause is applied nearly last,
just before items are sent to the client, with no
optimization. (LIMIT is applied after
HAVING.)
The SQL standard requires that HAVING must
reference only columns in the GROUP BY
clause or columns used in aggregate functions. However, MySQL
supports an extension to this behavior, and permits
HAVING to refer to columns in the
SELECT list and columns in
outer subqueries as well.
If the HAVING clause refers to a column
that is ambiguous, a warning occurs. In the following
statement, col2 is ambiguous because it is
used as both an alias and a column name:
SELECT COUNT(col1) AS col2 FROM t GROUP BY col2 HAVING col2 = 2;
Preference is given to standard SQL behavior, so if a
HAVING column name is used both in
GROUP BY and as an aliased column in the
select column list, preference is given to the column in the
GROUP BY column.
Do not use HAVING for items that should be
in the WHERE clause. For example, do not
write the following:
SELECT col_name FROM tbl_name HAVING col_name > 0;
Write this instead:
SELECT col_name FROM tbl_name WHERE col_name > 0;
The HAVING clause can refer to aggregate
functions, which the WHERE clause cannot:
SELECT user, MAX(salary) FROM users
GROUP BY user HAVING MAX(salary) > 10;
(This did not work in some older versions of MySQL.)
MySQL permits duplicate column names. That is, there can be
more than one select_expr with the
same name. This is an extension to standard SQL. Because MySQL
also permits GROUP BY and
HAVING to refer to
select_expr values, this can result
in an ambiguity:
SELECT 12 AS a, a FROM t GROUP BY a;
In that statement, both columns have the name
a. To ensure that the correct column is
used for grouping, use different names for each
select_expr.
The WINDOW clause, if present, defines
named windows that can be referred to by window functions. For
details, see Section 14.20.4, “Named Windows”.
MySQL resolves unqualified column or alias references in
ORDER BY clauses by searching in the
select_expr values, then in the
columns of the tables in the FROM clause.
For GROUP BY or HAVING
clauses, it searches the FROM clause before
searching in the select_expr
values. (For GROUP BY and
HAVING, this differs from the pre-MySQL 5.0
behavior that used the same rules as for ORDER
BY.)
The LIMIT clause can be used to constrain
the number of rows returned by the
SELECT statement.
LIMIT takes one or two numeric arguments,
which must both be nonnegative integer constants, with these
exceptions:
Within prepared statements, LIMIT
parameters can be specified using ?
placeholder markers.
Within stored programs, LIMIT
parameters can be specified using integer-valued routine
parameters or local variables.
With two arguments, the first argument specifies the offset of
the first row to return, and the second specifies the maximum
number of rows to return. The offset of the initial row is 0
(not 1):
SELECT * FROM tbl LIMIT 5,10; # Retrieve rows 6-15
To retrieve all rows from a certain offset up to the end of
the result set, you can use some large number for the second
parameter. This statement retrieves all rows from the 96th row
to the last:
SELECT * FROM tbl LIMIT 95,18446744073709551615;
With one argument, the value specifies the number of rows to
return from the beginning of the result set:
SELECT * FROM tbl LIMIT 5; # Retrieve first 5 rows
In other words, LIMIT
row_count is equivalent
to LIMIT 0,
row_count.
For prepared statements, you can use placeholders. The
following statements return one row from the
tbl table:
SET @a=1;
PREPARE STMT FROM 'SELECT * FROM tbl LIMIT ?';
EXECUTE STMT USING @a;
The following statements return the second to sixth rows from
the tbl table:
SET @skip=1; SET @numrows=5;
PREPARE STMT FROM 'SELECT * FROM tbl LIMIT ?, ?';
EXECUTE STMT USING @skip, @numrows;
For compatibility with PostgreSQL, MySQL also supports the
LIMIT row_count OFFSET
offset syntax.
If LIMIT occurs within a parenthesized
query expression and also is applied in the outer query, the
results are undefined and may change in a future version of
MySQL.
The SELECT ...
INTO form of SELECT
enables the query result to be written to a file or stored in
variables. For more information, see
Section 15.2.13.1, “SELECT ... INTO Statement”.
If you use FOR UPDATE with a storage engine
that uses page or row locks, rows examined by the query are
write-locked until the end of the current transaction.
You cannot use FOR UPDATE as part of the
SELECT in a statement such as
CREATE
TABLE new_table SELECT ... FROM
old_table .... (If you
attempt to do so, the statement is rejected with the error
Can't update table
'old_table' while
'new_table' is being
created.)
FOR SHARE and LOCK IN SHARE
MODE set shared locks that permit other transactions
to read the examined rows but not to update or delete them.
FOR SHARE and LOCK IN SHARE
MODE are equivalent. However, FOR
SHARE, like FOR UPDATE, supports
NOWAIT, SKIP LOCKED, and
OF tbl_name
options. FOR SHARE is a replacement for
LOCK IN SHARE MODE, but LOCK IN
SHARE MODE remains available for backward
compatibility.
NOWAIT causes a FOR
UPDATE or FOR SHARE query to
execute immediately, returning an error if a row lock cannot
be obtained due to a lock held by another transaction.
SKIP LOCKED causes a FOR
UPDATE or FOR SHARE query to
execute immediately, excluding rows from the result set that
are locked by another transaction.
NOWAIT and SKIP LOCKED
options are unsafe for statement-based replication.
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.
OF tbl_name
applies FOR UPDATE and FOR
SHARE queries to named tables. For example:
SELECT * FROM t1, t2 FOR SHARE OF t1 FOR UPDATE OF t2;
All tables referenced by the query block are locked when
OF tbl_name is
omitted. Consequently, using a locking clause without
OF tbl_name in
combination with another locking clause returns an error.
Specifying the same table in multiple locking clauses returns
an error. If an alias is specified as the table name in the
SELECT statement, a locking clause may only
use the alias. If the SELECT statement does
not specify an alias explicitly, the locking clause may only
specify the actual table name.
For more information about FOR UPDATE and
FOR SHARE, see
Section 17.7.2.4, “Locking Reads”. For additional
information about NOWAIT and SKIP
LOCKED options, see
Locking Read Concurrency with NOWAIT and SKIP LOCKED.
Following the SELECT keyword, you
can use a number of modifiers that affect the operation of the
statement. HIGH_PRIORITY,
STRAIGHT_JOIN, and modifiers beginning with
SQL_ are MySQL extensions to standard SQL.
The ALL and DISTINCT
modifiers specify whether duplicate rows should be returned.
ALL (the default) specifies that all
matching rows should be returned, including duplicates.
DISTINCT specifies removal of duplicate
rows from the result set. It is an error to specify both
modifiers. DISTINCTROW is a synonym for
DISTINCT.
In MySQL 8.0.12 and later, DISTINCT can be
used with a query that also uses WITH
ROLLUP. (Bug #87450, Bug #26640100)
HIGH_PRIORITY gives the
SELECT higher priority than a
statement that updates a table. You should use this only for
queries that are very fast and must be done at once. A
SELECT HIGH_PRIORITY query that is issued
while the table is locked for reading runs even if there is an
update statement waiting for the table to be free. This
affects only storage engines that use only table-level locking
(such as MyISAM, MEMORY,
and MERGE).
HIGH_PRIORITY cannot be used with
SELECT statements that are part
of a UNION.
STRAIGHT_JOIN forces the optimizer to join
the tables in the order in which they are listed in the
FROM clause. You can use this to speed up a
query if the optimizer joins the tables in nonoptimal order.
STRAIGHT_JOIN also can be used in the
table_references list. See
Section 15.2.13.2, “JOIN Clause”.
STRAIGHT_JOIN does not apply to any table
that the optimizer treats as a
const or
system table. Such a table
produces a single row, is read during the optimization phase
of query execution, and references to its columns are replaced
with the appropriate column values before query execution
proceeds. These tables appear first in the query plan
displayed by EXPLAIN. See
Section 10.8.1, “Optimizing Queries with EXPLAIN”. This exception may not apply
to const or
system tables that are used
on the NULL-complemented side of an outer
join (that is, the right-side table of a LEFT
JOIN or the left-side table of a RIGHT
JOIN.
SQL_BIG_RESULT or
SQL_SMALL_RESULT can be used with
GROUP BY or DISTINCT to
tell the optimizer that the result set has many rows or is
small, respectively. For SQL_BIG_RESULT,
MySQL directly uses disk-based temporary tables if they are
created, and prefers sorting to using a temporary table with a
key on the GROUP BY elements. For
SQL_SMALL_RESULT, MySQL uses in-memory
temporary tables to store the resulting table instead of using
sorting. This should not normally be needed.
SQL_BUFFER_RESULT forces the result to be
put into a temporary table. This helps MySQL free the table
locks early and helps in cases where it takes a long time to
send the result set to the client. This modifier can be used
only for top-level SELECT
statements, not for subqueries or following
UNION.
SQL_CALC_FOUND_ROWS tells MySQL to
calculate how many rows there would be in the result set,
disregarding any LIMIT clause. The number
of rows can then be retrieved with SELECT
FOUND_ROWS(). See
Section 14.15, “Information Functions”.
The SQL_CALC_FOUND_ROWS query modifier
and accompanying FOUND_ROWS()
function are deprecated as of MySQL 8.0.17; expect them to
be removed in a future version of MySQL. See the
FOUND_ROWS() description for
information about an alternative strategy.
The SQL_CACHE and
SQL_NO_CACHE modifiers were used with the
query cache prior to MySQL 8.0. The query cache
was removed in MySQL 8.0. The
SQL_CACHE modifier was removed as well.
SQL_NO_CACHE is deprecated, and has no
effect; expect it to be removed in a future MySQL release.