Table of Contents
ALTER DATABASE
SyntaxALTER EVENT
SyntaxALTER FUNCTION
SyntaxALTER PROCEDURE
SyntaxALTER SERVER
SyntaxALTER TABLE
SyntaxALTER VIEW
SyntaxCREATE DATABASE
SyntaxCREATE EVENT
SyntaxCREATE FUNCTION
SyntaxCREATE INDEX
SyntaxCREATE PROCEDURE
and
CREATE FUNCTION
SyntaxCREATE SERVER
SyntaxCREATE TABLE
SyntaxCREATE TRIGGER
SyntaxCREATE VIEW
SyntaxDROP DATABASE
SyntaxDROP EVENT
SyntaxDROP FUNCTION
SyntaxDROP INDEX
SyntaxDROP PROCEDURE
and
DROP FUNCTION
SyntaxDROP SERVER
SyntaxDROP TABLE
SyntaxDROP TRIGGER
SyntaxDROP VIEW
SyntaxRENAME TABLE
SyntaxTRUNCATE TABLE
SyntaxSTART TRANSACTION
,
COMMIT
, and
ROLLBACK
SyntaxSAVEPOINT
,
ROLLBACK TO
SAVEPOINT
, and
RELEASE
SAVEPOINT
SyntaxLOCK TABLES
and
UNLOCK
TABLES
SyntaxSET TRANSACTION
SyntaxThis chapter describes the syntax for the SQL statements supported by MySQL.
ALTER DATABASE
SyntaxALTER EVENT
SyntaxALTER FUNCTION
SyntaxALTER PROCEDURE
SyntaxALTER SERVER
SyntaxALTER TABLE
SyntaxALTER VIEW
SyntaxCREATE DATABASE
SyntaxCREATE EVENT
SyntaxCREATE FUNCTION
SyntaxCREATE INDEX
SyntaxCREATE PROCEDURE
and
CREATE FUNCTION
SyntaxCREATE SERVER
SyntaxCREATE TABLE
SyntaxCREATE TRIGGER
SyntaxCREATE VIEW
SyntaxDROP DATABASE
SyntaxDROP EVENT
SyntaxDROP FUNCTION
SyntaxDROP INDEX
SyntaxDROP PROCEDURE
and
DROP FUNCTION
SyntaxDROP SERVER
SyntaxDROP TABLE
SyntaxDROP TRIGGER
SyntaxDROP VIEW
SyntaxRENAME TABLE
SyntaxTRUNCATE TABLE
SyntaxALTER {DATABASE | SCHEMA} [db_name
]alter_specification
... ALTER {DATABASE | SCHEMA}db_name
UPGRADE DATA DIRECTORY NAMEalter_specification
: [DEFAULT] CHARACTER SET [=]charset_name
| [DEFAULT] COLLATE [=]collation_name
ALTER DATABASE
enables you to
change the overall characteristics of a database. These
characteristics are stored in the db.opt
file
in the database directory. To use ALTER
DATABASE
, you need the
ALTER
privilege on the database.
ALTER
SCHEMA
is a synonym for ALTER
DATABASE
.
The database name can be omitted from the first syntax, in which case the statement applies to the default database.
The CHARACTER SET
clause changes the default
database character set. The COLLATE
clause
changes the default database collation. Section 10.1, “Character Set Support”,
discusses character set and collation names.
You can see what character sets and collations are available
using, respectively, the SHOW CHARACTER
SET
and SHOW COLLATION
statements. See Section 13.7.5.4, “SHOW CHARACTER SET
Syntax”, and
Section 13.7.5.5, “SHOW COLLATION
Syntax”, for more information.
If you change the default character set or collation for a
database, stored routines that use the database defaults must be
dropped and recreated so that they use the new defaults. (In a
stored routine, variables with character data types use the
database defaults if the character set or collation are not
specified explicitly. See Section 13.1.12, “CREATE PROCEDURE
and
CREATE FUNCTION
Syntax”.)
The syntax that includes the UPGRADE DATA DIRECTORY
NAME
clause updates the name of the directory associated
with the database to use the encoding implemented in MySQL 5.1 for
mapping database names to database directory names (see
Section 9.2.3, “Mapping of Identifiers to File Names”). This clause is for use
under these conditions:
It is intended when upgrading MySQL to 5.1 or later from older versions.
It is intended to update a database directory name to the current encoding format if the name contains special characters that need encoding.
The statement is used by mysqlcheck (as invoked by mysql_upgrade).
For example, if a database in MySQL 5.0 has the name
a-b-c
, the name contains instances of the
-
(dash) character. In MySQL 5.0, the database
directory is also named a-b-c
, which is not
necessarily safe for all file systems. In MySQL 5.1 and later, the
same database name is encoded as a@002db@002dc
to produce a file system-neutral directory name.
When a MySQL installation is upgraded to MySQL 5.1 or later from
an older version,the server displays a name such as
a-b-c
(which is in the old format) as
#mysql50#a-b-c
, and you must refer to the name
using the #mysql50#
prefix. Use
UPGRADE DATA DIRECTORY NAME
in this case to
explicitly tell the server to re-encode the database directory
name to the current encoding format:
ALTER DATABASE `#mysql50#a-b-c` UPGRADE DATA DIRECTORY NAME;
After executing this statement, you can refer to the database as
a-b-c
without the special
#mysql50#
prefix.
ALTER [DEFINER = {user
| CURRENT_USER }] EVENTevent_name
[ON SCHEDULEschedule
] [ON COMPLETION [NOT] PRESERVE] [RENAME TOnew_event_name
] [ENABLE | DISABLE | DISABLE ON SLAVE] [COMMENT 'comment
'] [DOevent_body
]
The ALTER EVENT
statement changes
one or more of the characteristics of an existing event without
the need to drop and recreate it. The syntax for each of the
DEFINER
, ON SCHEDULE
,
ON COMPLETION
, COMMENT
,
ENABLE
/ DISABLE
, and
DO
clauses is exactly the same as
when used with CREATE EVENT
. (See
Section 13.1.9, “CREATE EVENT
Syntax”.)
Any user can alter an event defined on a database for which that
user has the EVENT
privilege. When
a user executes a successful ALTER
EVENT
statement, that user becomes the definer for the
affected event.
ALTER EVENT
works only with an
existing event:
mysql>ALTER EVENT no_such_event
>ON SCHEDULE
>EVERY '2:3' DAY_HOUR;
ERROR 1517 (HY000): Unknown event 'no_such_event'
In each of the following examples, assume that the event named
myevent
is defined as shown here:
CREATE EVENT myevent ON SCHEDULE EVERY 6 HOUR COMMENT 'A sample comment.' DO UPDATE myschema.mytable SET mycol = mycol + 1;
The following statement changes the schedule for
myevent
from once every six hours starting
immediately to once every twelve hours, starting four hours from
the time the statement is run:
ALTER EVENT myevent ON SCHEDULE EVERY 12 HOUR STARTS CURRENT_TIMESTAMP + INTERVAL 4 HOUR;
It is possible to change multiple characteristics of an event in a
single statement. This example changes the SQL statement executed
by myevent
to one that deletes all records from
mytable
; it also changes the schedule for the
event such that it executes once, one day after this
ALTER EVENT
statement is run.
ALTER EVENT myevent ON SCHEDULE AT CURRENT_TIMESTAMP + INTERVAL 1 DAY DO TRUNCATE TABLE myschema.mytable;
Specify the options in an ALTER
EVENT
statement only for those characteristics that you
want to change; omitted options keep their existing values. This
includes any default values for CREATE
EVENT
such as ENABLE
.
To disable myevent
, use this
ALTER EVENT
statement:
ALTER EVENT myevent DISABLE;
The ON SCHEDULE
clause may use expressions
involving built-in MySQL functions and user variables to obtain
any of the timestamp
or
interval
values which it contains. You
cannot use stored routines or user-defined functions in such
expressions, and you cannot use any table references; however, you
can use SELECT FROM DUAL
. This is true for both
ALTER EVENT
and
CREATE EVENT
statements. References
to stored routines, user-defined functions, and tables in such
cases are specifically not permitted, and fail with an error (see
Bug #22830).
Although an ALTER EVENT
statement
that contains another ALTER EVENT
statement in its DO
clause appears
to succeed, when the server attempts to execute the resulting
scheduled event, the execution fails with an error.
To rename an event, use the ALTER
EVENT
statement's RENAME TO
clause.
This statement renames the event myevent
to
yourevent
:
ALTER EVENT myevent RENAME TO yourevent;
You can also move an event to a different database using
ALTER EVENT ... RENAME TO ...
and
notation, as shown here:
db_name.event_name
ALTER EVENT olddb.myevent RENAME TO newdb.myevent;
To execute the previous statement, the user executing it must have
the EVENT
privilege on both the
olddb
and newdb
databases.
There is no RENAME EVENT
statement.
The value DISABLE ON SLAVE
is used on a
replication slave instead of ENABLED
or
DISABLED
to indicate an event that was created
on the master and replicated to the slave, but that is not
executed on the slave. Normally, DISABLE ON
SLAVE
is set automatically as required; however, there
are some circumstances under which you may want or need to change
it manually. See Section 16.4.1.10, “Replication of Invoked Features”,
for more information.
ALTER FUNCTIONfunc_name
[characteristic
...]characteristic
: COMMENT 'string
' | LANGUAGE SQL | { CONTAINS SQL | NO SQL | READS SQL DATA | MODIFIES SQL DATA } | SQL SECURITY { DEFINER | INVOKER }
This statement can be used to change the characteristics of a
stored function. More than one change may be specified in an
ALTER FUNCTION
statement. However,
you cannot change the parameters or body of a stored function
using this statement; to make such changes, you must drop and
re-create the function using DROP
FUNCTION
and CREATE
FUNCTION
.
You must have the ALTER ROUTINE
privilege for the function. (That privilege is granted
automatically to the function creator.) If binary logging is
enabled, the ALTER FUNCTION
statement might also require the
SUPER
privilege, as described in
Section 18.7, “Binary Logging of Stored Programs”.
ALTER PROCEDUREproc_name
[characteristic
...]characteristic
: COMMENT 'string
' | LANGUAGE SQL | { CONTAINS SQL | NO SQL | READS SQL DATA | MODIFIES SQL DATA } | SQL SECURITY { DEFINER | INVOKER }
This statement can be used to change the characteristics of a
stored procedure. More than one change may be specified in an
ALTER PROCEDURE
statement. However,
you cannot change the parameters or body of a stored procedure
using this statement; to make such changes, you must drop and
re-create the procedure using DROP
PROCEDURE
and CREATE
PROCEDURE
.
You must have the ALTER ROUTINE
privilege for the procedure. By default, that privilege is granted
automatically to the procedure creator. This behavior can be
changed by disabling the
automatic_sp_privileges
system
variable. See Section 18.2.2, “Stored Routines and MySQL Privileges”.
ALTER SERVERserver_name
OPTIONS (option
[,option
] ...)
Alters the server information for
,
adjusting any of the options permitted in the
server_name
CREATE SERVER
statement. The
corresponding fields in the mysql.servers
table
are updated accordingly. This statement requires the
SUPER
privilege.
For example, to update the USER
option:
ALTER SERVER s OPTIONS (USER 'sally');
ALTER SERVER
does not cause an automatic
commit.
In MySQL 5.6, ALTER SERVER
is not
written to the binary log, regardless of the logging format that
is in use.
ALTER [IGNORE] TABLEtbl_name
[alter_specification
[,alter_specification
] ...] [partition_options
]alter_specification
:table_options
| ADD [COLUMN]col_name
column_definition
[FIRST | AFTERcol_name
] | ADD [COLUMN] (col_name
column_definition
,...) | ADD {INDEX|KEY} [index_name
] [index_type
] (index_col_name
,...) [index_option
] ... | ADD [CONSTRAINT [symbol
]] PRIMARY KEY [index_type
] (index_col_name
,...) [index_option
] ... | ADD [CONSTRAINT [symbol
]] UNIQUE [INDEX|KEY] [index_name
] [index_type
] (index_col_name
,...) [index_option
] ... | ADD FULLTEXT [INDEX|KEY] [index_name
] (index_col_name
,...) [index_option
] ... | ADD SPATIAL [INDEX|KEY] [index_name
] (index_col_name
,...) [index_option
] ... | ADD [CONSTRAINT [symbol
]] FOREIGN KEY [index_name
] (index_col_name
,...)reference_definition
| ALGORITHM [=] {DEFAULT|INPLACE|COPY} | ALTER [COLUMN]col_name
{SET DEFAULTliteral
| DROP DEFAULT} | CHANGE [COLUMN]old_col_name
new_col_name
column_definition
[FIRST|AFTERcol_name
] | LOCK [=] {DEFAULT|NONE|SHARED|EXCLUSIVE} | MODIFY [COLUMN]col_name
column_definition
[FIRST | AFTERcol_name
] | DROP [COLUMN]col_name
| DROP PRIMARY KEY | DROP {INDEX|KEY}index_name
| DROP FOREIGN KEYfk_symbol
| DISABLE KEYS | ENABLE KEYS | RENAME [TO|AS]new_tbl_name
| ORDER BYcol_name
[,col_name
] ... | CONVERT TO CHARACTER SETcharset_name
[COLLATEcollation_name
] | [DEFAULT] CHARACTER SET [=]charset_name
[COLLATE [=]collation_name
] | DISCARD TABLESPACE | IMPORT TABLESPACE | FORCE | ADD PARTITION (partition_definition
) | DROP PARTITIONpartition_names
| TRUNCATE PARTITION {partition_names
| ALL} | COALESCE PARTITIONnumber
| REORGANIZE PARTITIONpartition_names
INTO (partition_definitions
) | EXCHANGE PARTITIONpartition_name
WITH TABLEtbl_name
| ANALYZE PARTITION {partition_names
| ALL} | CHECK PARTITION {partition_names
| ALL} | OPTIMIZE PARTITION {partition_names
| ALL} | REBUILD PARTITION {partition_names
| ALL} | REPAIR PARTITION {partition_names
| ALL} | REMOVE PARTITIONINGindex_col_name
:col_name
[(length
)] [ASC | DESC]index_type
: USING {BTREE | HASH}index_option
: KEY_BLOCK_SIZE [=]value
|index_type
| WITH PARSERparser_name
| COMMENT 'string
'table_options
:table_option
[[,]table_option
] ... (seeCREATE TABLE
options)partition_options
: (seeCREATE TABLE
options)
ALTER TABLE
changes the structure
of a table. For example, you can add or delete columns, create or
destroy indexes, change the type of existing columns, or rename
columns or the table itself. You can also change characteristics
such as the storage engine used for the table or the table
comment.
Partitioning-related clauses for ALTER
TABLE
can be used with partitioned tables for
repartitioning, for adding, dropping, merging, and splitting
partitions, and for performing partitioning maintenance. For more
information, see
Section 13.1.6.1, “ALTER TABLE
Partition Operations”. If an
ALTER TABLE
statement contains a
partitioning operation, that must be the only operation specified
in the statement.
Following the table name, specify the alterations to be made. If
none are given, ALTER TABLE
does
nothing.
The syntax for many of the permissible alterations is similar to
clauses of the CREATE TABLE
statement. See Section 13.1.14, “CREATE TABLE
Syntax”, for more
information.
Some operations may result in warnings if attempted on a table for
which the storage engine does not support the operation. These
warnings can be displayed with SHOW
WARNINGS
. See Section 13.7.5.41, “SHOW WARNINGS
Syntax”.
For information on troubleshooting ALTER
TABLE
, see Section C.5.7.1, “Problems with ALTER TABLE
”.
In most cases, ALTER TABLE
makes a
temporary copy of the original table. MySQL waits for other
operations that are modifying the table, then proceeds. It
incorporates the alteration into the copy, deletes the original
table, and renames the new one. While ALTER
TABLE
is executing, the original table is readable by
other sessions. Updates and writes to the table that begin after
the ALTER TABLE
operation begins
are stalled until the new table is ready, then are automatically
redirected to the new table without any failed updates. The
temporary table is created in the database directory of the new
table. This can differ from the database directory of the original
table for ALTER TABLE
operations
that rename the table to a different database.
For MyISAM
tables, you can speed up index
re-creation (the slowest part of the alteration process) by
setting the
myisam_sort_buffer_size
system
variable to a high value.
For some operations, an in-place ALTER
TABLE
is possible that does not require a temporary
table:
For ALTER TABLE
without any other options, MySQL simply renames any files that
correspond to the table tbl_name
RENAME TO new_tbl_name
tbl_name
without making a copy. (You can also use the
RENAME TABLE
statement to
rename tables. See Section 13.1.26, “RENAME TABLE
Syntax”.) Any
privileges granted specifically for the renamed table are not
migrated to the new name. They must be changed manually.
Alterations that modify only table metadata and not table data
can be made immediately by altering the table's
.frm
file and not touching table
contents. The following changes are fast alterations that can
be made this way:
Renaming a column, except for the
InnoDB
storage engine before
MySQL 5.6.6.
Changing the default value of a column.
Changing the definition of an
ENUM
or
SET
column by adding new
enumeration or set members to the end
of the list of valid member values, as long as the storage
side of the data type does not change. For example, adding
a member to a SET
column
that has 8 members changes the required storage per value
from 1 byte to 2 bytes; this will require a table copy.
Adding members in the middle of the list causes
renumbering of existing members, which requires a table
copy.
ALTER TABLE
with ADD
PARTITION
, DROP PARTITION
,
COALESCE PARTITION
, REBUILD
PARTITION
, or REORGANIZE
PARTITION
does not create any temporary tables
(except when used with NDB
tables); however, these operations can and do create temporary
partition files.
ADD
or DROP
operations
for RANGE
or LIST
partitions are immediate operations or nearly so.
ADD
or COALESCE
operations for HASH
or
KEY
partitions copy data between all
partitions, unless LINEAR HASH
or
LINEAR KEY
was used; this is effectively
the same as creating a new table, although the
ADD
or COALESCE
operation is performed partition by partition.
REORGANIZE
operations copy only changed
partitions and do not touch unchanged ones.
Renaming an index, except for
InnoDB
.
Adding or dropping an index, for
InnoDB
.
You can force an ALTER TABLE
operation that
would otherwise not require a table copy to use the temporary
table method (as supported in MySQL 5.0) by setting the
old_alter_table
system variable
to ON
, or specifying
ALGORITHM=COPY
as one of the
alter_specification
clauses. If there
is a conflict between the old_alter_table
setting and an ALGORITHM
clause with a value
other than DEFAULT
, the
ALGORITHM
clause takes precedence.
(ALGORITHM = DEFAULT
is the same a specifying
no ALGORITHM
clause at all.)
Specifying ALGORITHM=INPLACE
makes the
operation use the in-place technique for clauses and storage
engines that support it, and fail with an error otherwise, thus
avoiding a lengthy table copy if you try altering a table that
uses a different storage engine than you expect. See
Section 14.2.2.6, “Online DDL for InnoDB
Tables” for information about online
DDL for InnoDB
tables.
You can control the level of concurrent reading and writing of the
table while it is being altered, using the LOCK
clause. Specifying a non-default value for this clause lets you
require a certain amount of concurrent access or exclusivity
during the alter operation, and halts the operation if the
requested degree of locking is not available. The parameters for
the LOCK
clause are:
LOCK = DEFAULT
Maximum level of concurrency for the given
ALGORITHM
clause (if any) and
ALTER TABLE
operation: Permit concurrent
reads and writes if supported. If not, permit concurrent reads
if supported. If not, enforce exclusive access.
LOCK = NONE
If supported, permit concurrent reads and writes. Otherwise, return an error message.
LOCK = SHARED
If supported, permit concurrent reads but block writes. Note
that writes will be blocked even if concurrent writes are
supported by the storage engine for the given
ALGORITHM
clause (if any) and
ALTER TABLE
operation. If concurrent reads
are not supported, return an error message.
LOCK = EXCLUSIVE
Enforce exclusive access. This will be done even if concurrent
reads/writes are supported by the storage engine for the given
ALGORITHM
clause (if any) and
ALTER TABLE
operation.
As of MySQL 5.6.3, you can also use
ALTER TABLE
to perform a
“null” alter operation that rebuilds the table.
Previously the tbl_name
FORCEFORCE
option was recognized but
ignored.
To use ALTER TABLE
, you need
ALTER
,
CREATE
, and
INSERT
privileges for the
table. Renaming a table requires
ALTER
and
DROP
on the old table,
ALTER
,
CREATE
, and
INSERT
on the new table.
IGNORE
is a MySQL extension to standard
SQL. It controls how ALTER
TABLE
works if there are duplicates on unique keys
in the new table or if warnings occur when strict mode is
enabled. If IGNORE
is not specified, the
copy is aborted and rolled back if duplicate-key errors occur.
If IGNORE
is specified, only the first row
is used of rows with duplicates on a unique key. The other
conflicting rows are deleted. Incorrect values are truncated
to the closest matching acceptable value.
Pending INSERT DELAYED
statements are lost if a table is write locked and
ALTER TABLE
is used to modify
the table structure.
table_option
signifies a table
option of the kind that can be used in the
CREATE TABLE
statement, such as
ENGINE
, AUTO_INCREMENT
,
or AVG_ROW_LENGTH
.
(Section 13.1.14, “CREATE TABLE
Syntax”, lists all table options.)
However, ALTER TABLE
ignores
the DATA DIRECTORY
and INDEX
DIRECTORY
table options.
For example, to convert a table to be an
InnoDB
table, use this statement:
ALTER TABLE t1 ENGINE = InnoDB;
See Section 14.2.2.3, “Converting Tables from Other Storage Engines to
InnoDB
” for
considerations when switching tables to the
InnoDB
storage engine.
When you specify an ENGINE
clause,
ALTER TABLE
rebuilds the table.
This is true even if the table already has the specified
storage engine.
The outcome of attempting to change a table's storage engine
is affected by whether the desired storage engine is available
and the setting of the
NO_ENGINE_SUBSTITUTION
SQL
mode, as described in Section 5.1.7, “Server SQL Modes”.
To prevent inadvertent loss of data,
ALTER TABLE
cannot be used to
change the storage engine of a table to
MERGE
or BLACKHOLE
.
To change the value of the AUTO_INCREMENT
counter to be used for new rows, do this:
ALTER TABLE t2 AUTO_INCREMENT = value
;
You cannot reset the counter to a value less than or equal to
any that have already been used. For
MyISAM
, if the value is less than or equal
to the maximum value currently in the
AUTO_INCREMENT
column, the value is reset
to the current maximum plus one. For
InnoDB
, if the value is less than
the current maximum value in the column, no error occurs and
the current sequence value is not changed.
You can issue multiple ADD
,
ALTER
, DROP
, and
CHANGE
clauses in a single
ALTER TABLE
statement,
separated by commas. This is a MySQL extension to standard
SQL, which permits only one of each clause per
ALTER TABLE
statement. For
example, to drop multiple columns in a single statement, do
this:
ALTER TABLE t2 DROP COLUMN c, DROP COLUMN d;
CHANGE
,
col_name
DROP
,
and col_name
DROP INDEX
are MySQL extensions to
standard SQL.
The word COLUMN
is optional and can be
omitted.
column_definition
clauses use the
same syntax for ADD
and
CHANGE
as for CREATE
TABLE
. See Section 13.1.14, “CREATE TABLE
Syntax”.
You can rename a column using a CHANGE
clause.
To do so, specify the old and new column names and the
definition that the column currently has. For example, to
rename an old_col_name
new_col_name
column_definition
INTEGER
column from
a
to b
, you can do this:
ALTER TABLE t1 CHANGE a b INTEGER;
To change a column's type but not the name,
CHANGE
syntax still requires an old and new
column name, even if they are the same. For example:
ALTER TABLE t1 CHANGE b b BIGINT NOT NULL;
You can also use MODIFY
to change a
column's type without renaming it:
ALTER TABLE t1 MODIFY b BIGINT NOT NULL;
MODIFY
is an extension to
ALTER TABLE
for Oracle
compatibility.
When you use CHANGE
or
MODIFY
,
column_definition
must include the
data type and all attributes that should apply to the new
column, other than index attributes such as PRIMARY
KEY
or UNIQUE
. Attributes present
in the original definition but not specified for the new
definition are not carried forward. Suppose that a column
col1
is defined as INT UNSIGNED
DEFAULT 1 COMMENT 'my column'
and you modify the
column as follows:
ALTER TABLE t1 MODIFY col1 BIGINT;
The resulting column will be defined as
BIGINT
, but will not include the attributes
UNSIGNED DEFAULT 1 COMMENT 'my column'
. To
retain them, the statement should be:
ALTER TABLE t1 MODIFY col1 BIGINT UNSIGNED DEFAULT 1 COMMENT 'my column';
When you change a data type using CHANGE
or
MODIFY
, MySQL tries to convert existing
column values to the new type as well as possible.
This conversion may result in alteration of data. For
example, if you shorten a string column, values may be
truncated. To prevent the operation from succeeding if
conversions to the new data type would result in loss of
data, enable strict SQL mode before using
ALTER TABLE
(see
Section 5.1.7, “Server SQL Modes”).
To add a column at a specific position within a table row, use
FIRST
or AFTER
. The default is
to add the column last. You can also use
col_name
FIRST
and AFTER
in
CHANGE
or MODIFY
operations to reorder columns within a table.
ALTER ... SET DEFAULT
or ALTER ...
DROP DEFAULT
specify a new default value for a
column or remove the old default value, respectively. If the
old default is removed and the column can be
NULL
, the new default is
NULL
. If the column cannot be
NULL
, MySQL assigns a default value as
described in Section 11.5, “Data Type Default Values”.
DROP INDEX
removes an index.
This is a MySQL extension to standard SQL. See
Section 13.1.20, “DROP INDEX
Syntax”. If you are unsure of the index
name, use SHOW INDEX FROM
.
tbl_name
If columns are dropped from a table, the columns are also
removed from any index of which they are a part. If all
columns that make up an index are dropped, the index is
dropped as well. If you use CHANGE
or
MODIFY
to shorten a column for which an
index exists on the column, and the resulting column length is
less than the index length, MySQL shortens the index
automatically.
If a table contains only one column, the column cannot be
dropped. If what you intend is to remove the table, use
DROP TABLE
instead.
DROP PRIMARY KEY
drops the
primary key. If there
is no primary key, an error occurs. For information about the
performance characteristics of primary keys, especially for
InnoDB
tables, see
Section 8.3.2, “Using Primary Keys”.
If you add a UNIQUE INDEX
or
PRIMARY KEY
to a table, MySQL stores it
before any nonunique index to permit detection of duplicate
keys as early as possible.
Some storage engines permit you to specify an index type when
creating an index. The syntax for the
index_type
specifier is
USING
.
For details about type_name
USING
, see
Section 13.1.11, “CREATE INDEX
Syntax”. The preferred position is
after the column list. Support for use of the option before
the column list will be removed in a future MySQL release.
index_option
values specify
additional options for an index. USING
is
one such option. For details about permissible
index_option
values, see
Section 13.1.11, “CREATE INDEX
Syntax”.
After an ALTER TABLE
statement,
it may be necessary to run ANALYZE
TABLE
to update index cardinality information. See
Section 13.7.5.23, “SHOW INDEX
Syntax”.
ORDER BY
enables you to create the new
table with the rows in a specific order. Note that the table
does not remain in this order after inserts and deletes. This
option is useful primarily when you know that you are mostly
to query the rows in a certain order most of the time. By
using this option after major changes to the table, you might
be able to get higher performance. In some cases, it might
make sorting easier for MySQL if the table is in order by the
column that you want to order it by later.
ORDER BY
syntax permits one or more column
names to be specified for sorting, each of which optionally
can be followed by ASC
or
DESC
to indicate ascending or descending
sort order, respectively. The default is ascending order. Only
column names are permitted as sort criteria; arbitrary
expressions are not permitted. This clause should be given
last after any other clauses.
ORDER BY
does not make sense for
InnoDB
tables that contain a user-defined
clustered index (PRIMARY KEY
or
NOT NULL UNIQUE
index).
InnoDB
always orders table rows according
to such an index if one is present.
When used on a partitioned table, ALTER TABLE ...
ORDER BY
orders rows within each partition only.
If you use ALTER TABLE
on a
MyISAM
table, all nonunique indexes are
created in a separate batch (as for
REPAIR TABLE
). This should make
ALTER TABLE
much faster when
you have many indexes.
This feature can be activated explicitly for a
MyISAM
table. ALTER TABLE ...
DISABLE KEYS
tells MySQL to stop updating nonunique
indexes. ALTER TABLE ... ENABLE KEYS
then
should be used to re-create missing indexes. MySQL does this
with a special algorithm that is much faster than inserting
keys one by one, so disabling keys before performing bulk
insert operations should give a considerable speedup. Using
ALTER TABLE ... DISABLE KEYS
requires the
INDEX
privilege in addition to
the privileges mentioned earlier.
While the nonunique indexes are disabled, they are ignored for
statements such as SELECT
and
EXPLAIN
that otherwise would
use them.
If ALTER TABLE
for an
InnoDB
table results in changes to column
values (for example, because a column is truncated),
InnoDB
's FOREIGN KEY
constraint checks do not notice possible violations caused by
changing the values.
The FOREIGN KEY
and
REFERENCES
clauses are supported by the
InnoDB
storage engine, which implements
ADD [CONSTRAINT [
. See
Section 14.2.2.5, “symbol
]]
FOREIGN KEY (...) REFERENCES ... (...)FOREIGN KEY
Constraints”. For other
storage engines, the clauses are parsed but ignored. The
CHECK
clause is parsed but ignored by all
storage engines. See Section 13.1.14, “CREATE TABLE
Syntax”. The
reason for accepting but ignoring syntax clauses is for
compatibility, to make it easier to port code from other SQL
servers, and to run applications that create tables with
references. See Section 1.8.5, “MySQL Differences from Standard SQL”.
The inline REFERENCES
specifications
where the references are defined as part of the column
specification are silently ignored by
InnoDB
. InnoDB only accepts
REFERENCES
clauses defined as part of a
separate FOREIGN KEY
specification.
Partitioned tables do not support foreign keys. See Section 17.6, “Restrictions and Limitations on Partitioning”, for more information.
InnoDB
supports the use of
ALTER TABLE
to drop foreign
keys:
ALTER TABLEtbl_name
DROP FOREIGN KEYfk_symbol
;
For more information, see
Section 14.2.2.5, “FOREIGN KEY
Constraints”.
You cannot add a foreign key and drop a foreign key in
separate clauses of a single ALTER
TABLE
statement. You must use separate statements.
For an InnoDB
table that is created with
its own tablespace in an .ibd
file, that
file can be discarded and imported. To discard the
.ibd
file, use this statement:
ALTER TABLE tbl_name
DISCARD TABLESPACE;
This deletes the current .ibd
file, so be
sure that you have a backup first. Attempting to modify the
table contents while the tablespace file is discarded results
in an error. You can perform the DDL operations listed in
Section 14.2.2.6, “Online DDL for InnoDB
Tables” while the tablespace file
is discarded.
To import the backup .ibd
file back into
the table, copy it into the database directory, and then issue
this statement:
ALTER TABLE tbl_name
IMPORT TABLESPACE;
The tablespace file must have been created on the server into which it is imported later.
To change the table default character set and all character
columns (CHAR
,
VARCHAR
,
TEXT
) to a new character set,
use a statement like this:
ALTER TABLEtbl_name
CONVERT TO CHARACTER SETcharset_name
;
For a column that has a data type of
VARCHAR
or one of the
TEXT
types, CONVERT TO
CHARACTER SET
will change the data type as necessary
to ensure that the new column is long enough to store as many
characters as the original column. For example, a
TEXT
column has two length
bytes, which store the byte-length of values in the column, up
to a maximum of 65,535. For a latin1
TEXT
column, each character
requires a single byte, so the column can store up to 65,535
characters. If the column is converted to
utf8
, each character might require up to
three bytes, for a maximum possible length of 3 × 65,535
= 196,605 bytes. That length will not fit in a
TEXT
column's length bytes, so
MySQL will convert the data type to
MEDIUMTEXT
, which is the
smallest string type for which the length bytes can record a
value of 196,605. Similarly, a
VARCHAR
column might be
converted to MEDIUMTEXT
.
To avoid data type changes of the type just described, do not
use CONVERT TO CHARACTER SET
. Instead, use
MODIFY
to change individual columns. For
example:
ALTER TABLE t MODIFY latin1_text_col TEXT CHARACTER SET utf8;
ALTER TABLE t MODIFY latin1_varchar_col VARCHAR(M
) CHARACTER SET utf8;
If you specify CONVERT TO CHARACTER SET
binary
, the CHAR
,
VARCHAR
, and
TEXT
columns are converted to
their corresponding binary string types
(BINARY
,
VARBINARY
,
BLOB
). This means that the
columns no longer will have a character set and a subsequent
CONVERT TO
operation will not apply to
them.
If charset_name
is
DEFAULT
, the database character set is
used.
The CONVERT TO
operation converts column
values between the character sets. This is
not what you want if you have a column
in one character set (like latin1
) but
the stored values actually use some other, incompatible
character set (like utf8
). In this case,
you have to do the following for each such column:
ALTER TABLE t1 CHANGE c1 c1 BLOB; ALTER TABLE t1 CHANGE c1 c1 TEXT CHARACTER SET utf8;
The reason this works is that there is no conversion when
you convert to or from BLOB
columns.
To change only the default character set for a table, use this statement:
ALTER TABLEtbl_name
DEFAULT CHARACTER SETcharset_name
;
The word DEFAULT
is optional. The default
character set is the character set that is used if you do not
specify the character set for columns that you add to a table
later (for example, with ALTER TABLE ... ADD
column
).
With the mysql_info()
C API
function, you can find out how many rows were copied by
ALTER TABLE
, and (when
IGNORE
is used) how many rows were deleted due
to duplication of unique key values. See
Section 21.9.3.35, “mysql_info()
”.
Partitioning-related clauses for ALTER
TABLE
can be used with partitioned tables for
repartitioning, for adding, dropping, merging, and splitting
partitions, and for performing partitioning maintenance. If an
ALTER TABLE
statement contains a
partitioning operation, that must be the only operation
specified in the statement.
Simply using a partition_options
clause with ALTER TABLE
on a
partitioned table repartitions the table according to the
partitioning scheme defined by the
partition_options
. This clause
always begins with PARTITION BY
, and
follows the same syntax and other rules as apply to the
partition_options
clause for
CREATE TABLE
(see
Section 13.1.14, “CREATE TABLE
Syntax”, for more detailed
information), and can also be used to partition an existing
table that is not already partitioned. For example, consider
a (nonpartitioned) table defined as shown here:
CREATE TABLE t1 ( id INT, year_col INT );
This table can be partitioned by HASH
,
using the id
column as the partitioning
key, into 8 partitions by means of this statement:
ALTER TABLE t1 PARTITION BY HASH(id) PARTITIONS 8;
The table that results from using an ALTER TABLE
... PARTITION BY
statement must follow the same
rules as one created using CREATE TABLE ...
PARTITION BY
. This includes the rules governing
the relationship between any unique keys (including any
primary key) that the table might have, and the column or
columns used in the partitioning expression, as discussed in
Section 17.6.1, “Partitioning Keys, Primary Keys, and Unique Keys”.
The CREATE TABLE ... PARTITION BY
rules
for specifying the number of partitions also apply to
ALTER TABLE ... PARTITION BY
.
The partition_definition
clause
for ALTER TABLE ADD PARTITION
supports
the same options as the clause of the same name for the
CREATE TABLE
statement. (See
Section 13.1.14, “CREATE TABLE
Syntax”, for the syntax and
description.) Suppose that you have the partitioned table
created as shown here:
CREATE TABLE t1 ( id INT, year_col INT ) PARTITION BY RANGE (year_col) ( PARTITION p0 VALUES LESS THAN (1991), PARTITION p1 VALUES LESS THAN (1995), PARTITION p2 VALUES LESS THAN (1999) );
You can add a new partition p3
to this
table for storing values less than 2002
as follows:
ALTER TABLE t1 ADD PARTITION (PARTITION p3 VALUES LESS THAN (2002));
DROP PARTITION
can be used to drop one or
more RANGE
or LIST
partitions. This statement cannot be used with
HASH
or KEY
partitions; instead, use COALESCE
PARTITION
(see below). Any data that was stored in
the dropped partitions named in the
partition_names
list is
discarded. For example, given the table
t1
defined previously, you can drop the
partitions named p0
and
p1
as shown here:
ALTER TABLE t1 DROP PARTITION p0, p1;
ADD PARTITION
and DROP
PARTITION
do not currently support IF
[NOT] EXISTS
.
Renames of partitioned table are supported. You can rename
individual partitions indirectly using ALTER TABLE
... REORGANIZE PARTITION
; however, this operation
makes a copy of the partition's data..
In MySQL 5.6, it is possible to delete rows
from selected partitions using the TRUNCATE
PARTITION
option. This option takes a
comma-separated list of one or more partition names. For
example, consider the table t1
as defined
here:
CREATE TABLE t1 ( id INT, year_col INT ) PARTITION BY RANGE (year_col) ( PARTITION p0 VALUES LESS THAN (1991), PARTITION p1 VALUES LESS THAN (1995), PARTITION p2 VALUES LESS THAN (1999), PARTITION p3 VALUES LESS THAN (2003), PARTITION p4 VALUES LESS THAN (2007) );
To delete all rows from partition p0
, you
can use the following statement:
ALTER TABLE t1 TRUNCATE PARTITION p0;
The statement just shown has the same effect as the
following DELETE
statement:
DELETE FROM t1 WHERE year_col < 1991;
When truncating multiple partitions, the partitions do not
have to be contiguous: This can greatly simplify delete
operations on partitioned tables that would otherwise
require very complex WHERE
conditions if
done with DELETE
statements.
For example, this statement deletes all rows from partitions
p1
and p3
:
ALTER TABLE t1 TRUNCATE PARTITION p1, p3;
An equivalent DELETE
statement is shown here:
DELETE FROM t1 WHERE (year_col >= 1991 AND year_col < 1995) OR (year_col >= 2003 AND year_col < 2007);
You can also use the ALL
keyword in place
of the list of partition names; in this case, the statement
acts on all partitions in the table.
TRUNCATE PARTITION
merely deletes rows;
it does not alter the definition of the table itself, or of
any of its partitions.
TRUNCATE PARTITION
does not work with
subpartitions.
You can verify that the rows were dropped by checking the
INFORMATION_SCHEMA.PARTITIONS
table,
using a query such as this one:
SELECT PARTITION_NAME, TABLE_ROWS FROM INFORMATION_SCHEMA.PARTITIONS WHERE TABLE_NAME = 't1';
TRUNCATE PARTITION
is supported only for
partitioned tables that use the
MyISAM
,
InnoDB
, or
MEMORY
storage engine. It also
works on BLACKHOLE
tables (but
has no effect). It is not supported for
ARCHIVE
tables.
COALESCE PARTITION
can be used with a
table that is partitioned by HASH
or
KEY
to reduce the number of partitions by
number
. Suppose that you have
created table t2
using the following
definition:
CREATE TABLE t2 ( name VARCHAR (30), started DATE ) PARTITION BY HASH( YEAR(started) ) PARTITIONS 6;
You can reduce the number of partitions used by
t2
from 6 to 4 using the following
statement:
ALTER TABLE t2 COALESCE PARTITION 2;
The data contained in the last
number
partitions will be merged
into the remaining partitions. In this case, partitions 4
and 5 will be merged into the first 4 partitions (the
partitions numbered 0, 1, 2, and 3).
To change some but not all the partitions used by a
partitioned table, you can use REORGANIZE
PARTITION
. This statement can be used in several
ways:
To merge a set of partitions into a single partition.
This can be done by naming several partitions in the
partition_names
list and
supplying a single definition for
partition_definition
.
To split an existing partition into several partitions.
You can accomplish this by naming a single partition for
partition_names
and providing
multiple
partition_definitions
.
To change the ranges for a subset of partitions defined
using VALUES LESS THAN
or the value
lists for a subset of partitions defined using
VALUES IN
.
For partitions that have not been explicitly named, MySQL
automatically provides the default names
p0
, p1
,
p2
, and so on. The same is true with
regard to subpartitions.
For more detailed information about and examples of
ALTER TABLE ... REORGANIZE PARTITION
statements, see
Section 17.3.1, “Management of RANGE
and LIST
Partitions”.
It is also possible in MySQL 5.6 to exchange a
table partition or subpartition with a table using
ALTER TABLE
, where
pt
EXCHANGE
PARTITION p
WITH TABLE
nt
pt
is the partitioned table and
p
is the partition or
subpartition of pt
to be
exchanged with unpartitioned table
nt
, provided that the following
statements are true:
Table nt
is not itself
partitioned.
Table nt
is not a temporary
table.
The structures of tables pt
and nt
are otherwise
identical.
There are no rows in nt
that
lie outside the boundaries of the partition definition
for p
.
Table nt
contains no foreign key
references, and no other table has any foreign keys that
refer to nt
.
Executing ALTER TABLE ... EXCHANGE
PARTITION
does not invoke any triggers on either
the partitioned table or the table to be exchanged.
Any AUTO_INCREMENT
columns in the table
to be exchanged with a partition are reset.
The IGNORE
keyword has no effect when
used with ALTER TABLE ... EXCHANGE
PARTITION
.
For more information about and examples of ALTER
TABLE ... EXCHANGE PARTITION
, see
Section 17.3.3, “Exchanging Partitions and Subpartitions with Tables”.
Several additional options provide partition maintenance and
repair functionality analogous to that implemented for
nonpartitioned tables by statements such as
CHECK TABLE
and
REPAIR TABLE
(which are also
supported for partitioned tables; see
Section 13.7.2, “Table Maintenance Statements” for more
information). These include ANALYZE
PARTITION
, CHECK PARTITION
,
OPTIMIZE PARTITION
, REBUILD
PARTITION
, and REPAIR
PARTITION
. Each of these options takes a
partition_names
clause consisting
of one or more names of partitions, separated by commas. The
partitions must already exist in the table to be altered.
You can also use the ALL
keyword in place
of partition_names
, in which case
the statement acts on all partitions in the table. For more
information and examples, see
Section 17.3.4, “Maintenance of Partitions”.
Some MySQL storage engines, such as
InnoDB
, do not support
per-partition optimization. For a partitioned table using
such a storage engine, ALTER TABLE ... OPTIMIZE
PARTITION
rebuilds the entire table. This is a
known issue. (Bug #42822) Beginning with MySQL 5.6.9,
running this statement on such a table causes the entire
table to rebuilt and analyzed, and an appropriate warning to
be issued. (Bug #11751825)
To work around this problem, use the statements
ALTER TABLE ... REBUILD PARTITION
and
ALTER TABLE ... ANALYZE PARTITION
instead.
The ANALYZE PARTITION
, CHECK
PARTITION
, OPTIMIZE PARTITION
,
and REPAIR PARTITION
options are not
permitted for tables which are not partitioned.
REMOVE PARTITIONING
enables you to remove
a table's partitioning without otherwise affecting the table
or its data. This option can be combined with other
ALTER TABLE
options such as
those used to add, drop, or rename drop columns or indexes.
Using the ENGINE
option with
ALTER TABLE
changes the
storage engine used by the table without affecting the
partitioning.
Prior to MySQL 5.6.6, when ALTER TABLE ... EXCHANGE
PARTITION
or ALTER TABLE ... TRUNCATE
PARTITION
was run against a partitioned table that
used MyISAM
(or another storage
engine that makes use of table-level locking), the entire
partitioned table was locked; in MySQL 5.6.6 and later, in such
cases, only those partitions that are actually read from are
locked. This did not (and does not) affect partitioned tables
using a storage engine—such as
InnoDB
—that employs row-level
locking. See Section 17.6.4, “Partitioning and Locking”.
Only a single instance of any one of the following options can
be used in a given ALTER TABLE
statement: PARTITION BY
, ADD
PARTITION
, DROP PARTITION
,
TRUNCATE PARTITION
, EXCHANGE
PARTITION
, REORGANIZE PARTITION
, or
COALESCE PARTITION
, ANALYZE
PARTITION
, CHECK PARTITION
,
OPTIMIZE PARTITION
, REBUILD
PARTITION
, REMOVE PARTITIONING
.
For example, the following two statements are invalid:
ALTER TABLE t1 ANALYZE PARTITION p1, ANALYZE PARTITION p2; ALTER TABLE t1 ANALYZE PARTITION p1, CHECK PARTITION p2;
In the first case, you can analyze partitions
p1
and p2
of table
t1
concurrently using a single statement with
a single ANALYZE PARTITION
option that lists
both of the partitions to be analyzed, like this:
ALTER TABLE t1 ANALYZE PARTITION p1, p2;
In the second case, it is not possible to perform
ANALYZE
and CHECK
operations on different partitions of the same table
concurrently. Instead, you must issue two separate statements,
like this:
ALTER TABLE t1 ANALYZE PARTITION p1; ALTER TABLE t1 CHECK PARTITION p2;
Begin with a table t1
that is created as
shown here:
CREATE TABLE t1 (a INTEGER,b CHAR(10));
To rename the table from t1
to
t2
:
ALTER TABLE t1 RENAME t2;
To change column a
from
INTEGER
to TINYINT NOT
NULL
(leaving the name the same), and to change column
b
from CHAR(10)
to
CHAR(20)
as well as renaming it from
b
to c
:
ALTER TABLE t2 MODIFY a TINYINT NOT NULL, CHANGE b c CHAR(20);
To add a new TIMESTAMP
column
named d
:
ALTER TABLE t2 ADD d TIMESTAMP;
To add an index on column d
and a
UNIQUE
index on column a
:
ALTER TABLE t2 ADD INDEX (d), ADD UNIQUE (a);
To remove column c
:
ALTER TABLE t2 DROP COLUMN c;
To add a new AUTO_INCREMENT
integer column
named c
:
ALTER TABLE t2 ADD c INT UNSIGNED NOT NULL AUTO_INCREMENT, ADD PRIMARY KEY (c);
We indexed c
(as a PRIMARY
KEY
) because AUTO_INCREMENT
columns
must be indexed, and we declare c
as
NOT NULL
because primary key columns cannot
be NULL
.
When you add an AUTO_INCREMENT
column, column
values are filled in with sequence numbers automatically. For
MyISAM
tables, you can set the first sequence
number by executing SET
INSERT_ID=
before
value
ALTER TABLE
or by using the
AUTO_INCREMENT=
table option. See Section 5.1.4, “Server System Variables”.
value
With MyISAM
tables, if you do not change the
AUTO_INCREMENT
column, the sequence number is
not affected. If you drop an AUTO_INCREMENT
column and then add another AUTO_INCREMENT
column, the numbers are resequenced beginning with 1.
When replication is used, adding an
AUTO_INCREMENT
column to a table might not
produce the same ordering of the rows on the slave and the
master. This occurs because the order in which the rows are
numbered depends on the specific storage engine used for the
table and the order in which the rows were inserted. If it is
important to have the same order on the master and slave, the
rows must be ordered before assigning an
AUTO_INCREMENT
number. Assuming that you want
to add an AUTO_INCREMENT
column to the table
t1
, the following statements produce a new
table t2
identical to t1
but with an AUTO_INCREMENT
column:
CREATE TABLE t2 (id INT AUTO_INCREMENT PRIMARY KEY) SELECT * FROM t1 ORDER BY col1, col2;
This assumes that the table t1
has columns
col1
and col2
.
This set of statements will also produce a new table
t2
identical to t1
, with
the addition of an AUTO_INCREMENT
column:
CREATE TABLE t2 LIKE t1; ALTER TABLE t2 ADD id INT AUTO_INCREMENT PRIMARY KEY; INSERT INTO t2 SELECT * FROM t1 ORDER BY col1, col2;
To guarantee the same ordering on both master and slave,
all columns of t1
must
be referenced in the ORDER BY
clause.
Regardless of the method used to create and populate the copy
having the AUTO_INCREMENT
column, the final
step is to drop the original table and then rename the copy:
DROP t1; ALTER TABLE t2 RENAME t1;
ALTER [ALGORITHM = {UNDEFINED | MERGE | TEMPTABLE}] [DEFINER = {user
| CURRENT_USER }] [SQL SECURITY { DEFINER | INVOKER }] VIEWview_name
[(column_list
)] ASselect_statement
[WITH [CASCADED | LOCAL] CHECK OPTION]
This statement changes the definition of a view, which must exist.
The syntax is similar to that for CREATE
VIEW
and the effect is the same as for
CREATE OR REPLACE
VIEW
. See Section 13.1.16, “CREATE VIEW
Syntax”. This statement
requires the CREATE VIEW
and
DROP
privileges for the view, and
some privilege for each column referred to in the
SELECT
statement.
ALTER VIEW
is permitted only to the
definer or users with the SUPER
privilege.
CREATE {DATABASE | SCHEMA} [IF NOT EXISTS]db_name
[create_specification
] ...create_specification
: [DEFAULT] CHARACTER SET [=]charset_name
| [DEFAULT] COLLATE [=]collation_name
CREATE DATABASE
creates a database
with the given name. To use this statement, you need the
CREATE
privilege for the database.
CREATE
SCHEMA
is a synonym for CREATE
DATABASE
.
An error occurs if the database exists and you did not specify
IF NOT EXISTS
.
In MySQL 5.6, CREATE
DATABASE
is not permitted within a session that has an
active LOCK TABLES
statement.
create_specification
options specify
database characteristics. Database characteristics are stored in
the db.opt
file in the database directory.
The CHARACTER SET
clause specifies the default
database character set. The COLLATE
clause
specifies the default database collation.
Section 10.1, “Character Set Support”, discusses character set and collation
names.
A database in MySQL is implemented as a directory containing files
that correspond to tables in the database. Because there are no
tables in a database when it is initially created, the
CREATE DATABASE
statement creates
only a directory under the MySQL data directory and the
db.opt
file. Rules for permissible database
names are given in Section 9.2, “Schema Object Names”. If a database
name contains special characters, the name for the database
directory contains encoded versions of those characters as
described in Section 9.2.3, “Mapping of Identifiers to File Names”.
If you manually create a directory under the data directory (for
example, with mkdir), the server considers it a
database directory and it shows up in the output of
SHOW DATABASES
.
You can also use the mysqladmin program to create databases. See Section 4.5.2, “mysqladmin — Client for Administering a MySQL Server”.
CREATE [DEFINER = {user
| CURRENT_USER }] EVENT [IF NOT EXISTS]event_name
ON SCHEDULEschedule
[ON COMPLETION [NOT] PRESERVE] [ENABLE | DISABLE | DISABLE ON SLAVE] [COMMENT 'comment
'] DOevent_body
;schedule
: ATtimestamp
[+ INTERVALinterval
] ... | EVERYinterval
[STARTStimestamp
[+ INTERVALinterval
] ...] [ENDStimestamp
[+ INTERVALinterval
] ...]interval
:quantity
{YEAR | QUARTER | MONTH | DAY | HOUR | MINUTE | WEEK | SECOND | YEAR_MONTH | DAY_HOUR | DAY_MINUTE | DAY_SECOND | HOUR_MINUTE | HOUR_SECOND | MINUTE_SECOND}
This statement creates and schedules a new event. The event will not run unless the Event Scheduler is enabled. For information about checking Event Scheduler status and enabling it if necessary, see Section 18.4.2, “Event Scheduler Configuration”.
CREATE EVENT
requires the
EVENT
privilege for the schema in
which the event is to be created. It might also require the
SUPER
privilege, depending on the
DEFINER
value, as described later in this
section.
The minimum requirements for a valid CREATE
EVENT
statement are as follows:
The keywords CREATE EVENT
plus
an event name, which uniquely identifies the event in a
database schema.
An ON SCHEDULE
clause, which determines
when and how often the event executes.
A DO
clause, which contains the
SQL statement to be executed by an event.
This is an example of a minimal CREATE
EVENT
statement:
CREATE EVENT myevent ON SCHEDULE AT CURRENT_TIMESTAMP + INTERVAL 1 HOUR DO UPDATE myschema.mytable SET mycol = mycol + 1;
The previous statement creates an event named
myevent
. This event executes once—one
hour following its creation—by running an SQL statement that
increments the value of the myschema.mytable
table's mycol
column by 1.
The event_name
must be a valid MySQL
identifier with a maximum length of 64 characters. Event names are
not case sensitive, so you cannot have two events named
myevent
and MyEvent
in the
same schema. In general, the rules governing event names are the
same as those for names of stored routines. See
Section 9.2, “Schema Object Names”.
An event is associated with a schema. If no schema is indicated as
part of event_name
, the default
(current) schema is assumed. To create an event in a specific
schema, qualify the event name with a schema using
syntax.
schema_name
.event_name
The DEFINER
clause specifies the MySQL account
to be used when checking access privileges at event execution
time. If a user
value is given, it
should be a MySQL account specified as
'
(the same format used in the user_name
'@'host_name
'GRANT
statement), CURRENT_USER
, or
CURRENT_USER()
. The default
DEFINER
value is the user who executes the
CREATE EVENT
statement. This is the
same as specifying DEFINER = CURRENT_USER
explicitly.
If you specify the DEFINER
clause, these rules
determine the valid DEFINER
user values:
If you do not have the SUPER
privilege, the only permitted user
value is your own account, either specified literally or by
using CURRENT_USER
. You cannot
set the definer to some other account.
If you have the SUPER
privilege, you can specify any syntactically valid account
name. If the account does not actually exist, a warning is
generated.
Although it is possible to create an event with a nonexistent
DEFINER
account, an error occurs at event
execution time if the account does not exist.
For more information about event security, see Section 18.6, “Access Control for Stored Programs and Views”.
Within an event, the CURRENT_USER()
function returns the account used to check privileges at event
execution time, which is the DEFINER
user. For
information about user auditing within events, see
Section 6.3.10, “SQL-Based MySQL Account Activity Auditing”.
IF NOT EXISTS
has the same meaning for
CREATE EVENT
as for
CREATE TABLE
: If an event named
event_name
already exists in the same
schema, no action is taken, and no error results. (However, a
warning is generated in such cases.)
The ON SCHEDULE
clause determines when, how
often, and for how long the event_body
defined for the event repeats. This clause takes one of two forms:
AT
is
used for a one-time event. It specifies that the event
executes one time only at the date and time given by
timestamp
timestamp
, which must include both
the date and time, or must be an expression that resolves to a
datetime value. You may use a value of either the
DATETIME
or
TIMESTAMP
type for this
purpose. If the date is in the past, a warning occurs, as
shown here:
mysql>SELECT NOW();
+---------------------+ | NOW() | +---------------------+ | 2006-02-10 23:59:01 | +---------------------+ 1 row in set (0.04 sec) mysql>CREATE EVENT e_totals
->ON SCHEDULE AT '2006-02-10 23:59:00'
->DO INSERT INTO test.totals VALUES (NOW());
Query OK, 0 rows affected, 1 warning (0.00 sec) mysql>SHOW WARNINGS\G
*************************** 1. row *************************** Level: Note Code: 1588 Message: Event execution time is in the past and ON COMPLETION NOT PRESERVE is set. The event was dropped immediately after creation.
CREATE EVENT
statements which
are themselves invalid—for whatever reason—fail
with an error.
You may use CURRENT_TIMESTAMP
to specify the current date and time. In such a case, the
event acts as soon as it is created.
To create an event which occurs at some point in the future
relative to the current date and time—such as that
expressed by the phrase “three weeks from
now”—you can use the optional clause +
INTERVAL
. The
interval
interval
portion consists of two
parts, a quantity and a unit of time, and follows the same
syntax rules that govern intervals used in the
DATE_ADD()
function (see
Section 12.7, “Date and Time Functions”. The units keywords
are also the same, except that you cannot use any units
involving microseconds when defining an event. With some
interval types, complex time units may be used. For example,
“two minutes and ten seconds” can be expressed as
+ INTERVAL '2:10' MINUTE_SECOND
.
You can also combine intervals. For example, AT
CURRENT_TIMESTAMP + INTERVAL 3 WEEK + INTERVAL 2 DAY
is equivalent to “three weeks and two days from
now”. Each portion of such a clause must begin with
+ INTERVAL
.
To repeat actions at a regular interval, use an
EVERY
clause. The EVERY
keyword is followed by an interval
as described in the previous discussion of the
AT
keyword. (+ INTERVAL
is not used with
EVERY
.) For example, EVERY 6
WEEK
means “every six weeks”.
Although + INTERVAL
clauses are not
permitted in an EVERY
clause, you can use
the same complex time units permitted in a +
INTERVAL
.
An EVERY
clause may contain an optional
STARTS
clause. STARTS
is
followed by a timestamp
value that
indicates when the action should begin repeating, and may also
use + INTERVAL
to specify an
amount of time “from now”. For example,
interval
EVERY 3 MONTH STARTS CURRENT_TIMESTAMP + INTERVAL 1
WEEK
means “every three months, beginning one
week from now”. Similarly, you can express “every
two weeks, beginning six hours and fifteen minutes from
now” as EVERY 2 WEEK STARTS CURRENT_TIMESTAMP
+ INTERVAL '6:15' HOUR_MINUTE
. Not specifying
STARTS
is the same as using STARTS
CURRENT_TIMESTAMP
—that is, the action
specified for the event begins repeating immediately upon
creation of the event.
An EVERY
clause may contain an optional
ENDS
clause. The ENDS
keyword is followed by a timestamp
value that tells MySQL when the event should stop repeating.
You may also use + INTERVAL
with
interval
ENDS
; for instance, EVERY 12 HOUR
STARTS CURRENT_TIMESTAMP + INTERVAL 30 MINUTE ENDS
CURRENT_TIMESTAMP + INTERVAL 4 WEEK
is equivalent to
“every twelve hours, beginning thirty minutes from now,
and ending four weeks from now”. Not using
ENDS
means that the event continues
executing indefinitely.
ENDS
supports the same syntax for complex
time units as STARTS
does.
You may use STARTS
,
ENDS
, both, or neither in an
EVERY
clause.
If a repeating event does not terminate within its scheduling
interval, the result may be multiple instances of the event
executing simultaneously. If this is undesirable, you should
institute a mechanism to prevent simultaneous instances. For
example, you could use the
GET_LOCK()
function, or row or
table locking.
The ON SCHEDULE
clause may use expressions
involving built-in MySQL functions and user variables to obtain
any of the timestamp
or
interval
values which it contains. You
may not use stored functions or user-defined functions in such
expressions, nor may you use any table references; however, you
may use SELECT FROM DUAL
. This is true for both
CREATE EVENT
and
ALTER EVENT
statements. References
to stored functions, user-defined functions, and tables in such
cases are specifically not permitted, and fail with an error (see
Bug #22830).
Times in the ON SCHEDULE
clause are interpreted
using the current session
time_zone
value. This becomes the
event time zone; that is, the time zone that is used for event
scheduling and is in effect within the event as it executes. These
times are converted to UTC and stored along with the event time
zone in the mysql.event
table. This enables
event execution to proceed as defined regardless of any subsequent
changes to the server time zone or daylight saving time effects.
For additional information about representation of event times,
see Section 18.4.4, “Event Metadata”. See also
Section 13.7.5.19, “SHOW EVENTS
Syntax”, and Section 19.7, “The INFORMATION_SCHEMA EVENTS
Table”.
Normally, once an event has expired, it is immediately dropped.
You can override this behavior by specifying ON
COMPLETION PRESERVE
. Using ON COMPLETION NOT
PRESERVE
merely makes the default nonpersistent behavior
explicit.
You can create an event but prevent it from being active using the
DISABLE
keyword. Alternatively, you can use
ENABLE
to make explicit the default status,
which is active. This is most useful in conjunction with
ALTER EVENT
(see
Section 13.1.2, “ALTER EVENT
Syntax”).
A third value may also appear in place of
ENABLED
or DISABLED
;
DISABLE ON SLAVE
is set for the status of an
event on a replication slave to indicate that the event was
created on the master and replicated to the slave, but is not
executed on the slave. See
Section 16.4.1.10, “Replication of Invoked Features”.
You may supply a comment for an event using a
COMMENT
clause.
comment
may be any string of up to 64
characters that you wish to use for describing the event. The
comment text, being a string literal, must be surrounded by
quotation marks.
The DO
clause specifies an action
carried by the event, and consists of an SQL statement. Nearly any
valid MySQL statement that can be used in a stored routine can
also be used as the action statement for a scheduled event. (See
Section E.1, “Restrictions on Stored Programs”.) For example, the
following event e_hourly
deletes all rows from
the sessions
table once per hour, where this
table is part of the site_activity
schema:
CREATE EVENT e_hourly ON SCHEDULE EVERY 1 HOUR COMMENT 'Clears out sessions table each hour.' DO DELETE FROM site_activity.sessions;
MySQL stores the sql_mode
system
variable setting that is in effect at the time an event is
created, and always executes the event with this setting in force,
regardless of the current server SQL mode.
A CREATE EVENT
statement that
contains an ALTER EVENT
statement
in its DO
clause appears to
succeed; however, when the server attempts to execute the
resulting scheduled event, the execution fails with an error.
Statements such as SELECT
or
SHOW
that merely return a result
set have no effect when used in an event; the output from these
is not sent to the MySQL Monitor, nor is it stored anywhere.
However, you can use statements such as
SELECT ...
INTO
and
INSERT INTO ...
SELECT
that store a result. (See the next example in
this section for an instance of the latter.)
The schema to which an event belongs is the default schema for
table references in the DO
clause.
Any references to tables in other schemas must be qualified with
the proper schema name.
As with stored routines, you can use compound-statement syntax in
the DO
clause by using the
BEGIN
and END
keywords, as
shown here:
delimiter | CREATE EVENT e_daily ON SCHEDULE EVERY 1 DAY COMMENT 'Saves total number of sessions then clears the table each day' DO BEGIN INSERT INTO site_activity.totals (time, total) SELECT CURRENT_TIMESTAMP, COUNT(*) FROM site_activity.sessions; DELETE FROM site_activity.sessions; END | delimiter ;
This example uses the delimiter
command to
change the statement delimiter. See
Section 18.1, “Defining Stored Programs”.
More complex compound statements, such as those used in stored routines, are possible in an event. This example uses local variables, an error handler, and a flow control construct:
delimiter | CREATE EVENT e ON SCHEDULE EVERY 5 SECOND DO BEGIN DECLARE v INTEGER; DECLARE CONTINUE HANDLER FOR SQLEXCEPTION BEGIN END; SET v = 0; WHILE v < 5 DO INSERT INTO t1 VALUES (0); UPDATE t2 SET s1 = s1 + 1; SET v = v + 1; END WHILE; END | delimiter ;
There is no way to pass parameters directly to or from events; however, it is possible to invoke a stored routine with parameters within an event:
CREATE EVENT e_call_myproc ON SCHEDULE AT CURRENT_TIMESTAMP + INTERVAL 1 DAY DO CALL myproc(5, 27);
If an event's definer has the SUPER
privilege, the event can read and write global variables. As
granting this privilege entails a potential for abuse, extreme
care must be taken in doing so.
Generally, any statements that are valid in stored routines may be used for action statements executed by events. For more information about statements permissible within stored routines, see Section 18.2.1, “Stored Routine Syntax”. You can create an event as part of a stored routine, but an event cannot be created by another event.
The CREATE FUNCTION
statement is
used to create stored functions and user-defined functions (UDFs):
For information about creating stored functions, see
Section 13.1.12, “CREATE PROCEDURE
and
CREATE FUNCTION
Syntax”.
For information about creating user-defined functions, see
Section 13.7.3.1, “CREATE FUNCTION
Syntax for User-Defined
Functions”.
CREATE [UNIQUE|FULLTEXT|SPATIAL] INDEXindex_name
[index_type
] ONtbl_name
(index_col_name
,...) [algorithm_option
|lock_option
] ...index_col_name
:col_name
[(length
)] [ASC | DESC]index_type
: USING {BTREE | HASH}index_option
: KEY_BLOCK_SIZE [=]value
|index_type
| WITH PARSERparser_name
| COMMENT 'string
'algorithm_option
: ALGORITHM [=] {DEFAULT|INPLACE|COPY}lock_option
: LOCK [=] {DEFAULT|NONE|SHARED|EXCLUSIVE}
CREATE INDEX
is mapped to an
ALTER TABLE
statement to create
indexes. See Section 13.1.6, “ALTER TABLE
Syntax”.
CREATE INDEX
cannot be used to
create a PRIMARY KEY
; use
ALTER TABLE
instead. For more
information about indexes, see Section 8.3.1, “How MySQL Uses Indexes”.
Normally, you create all indexes on a table at the time the table
itself is created with CREATE
TABLE
. See Section 13.1.14, “CREATE TABLE
Syntax”. This
guideline is especially important for InnoDB
tables, where the primary key determines the physical layout of
rows in the data file. CREATE INDEX
enables you to add indexes to existing tables.
A column list of the form (col1,col2,...)
creates a multiple-column index. Index key values are formed by
concatenating the values of the given columns.
Indexes can be created that use only the leading part of column
values, using
syntax to specify an index prefix length:
col_name
(length
)
Prefixes can be specified for
CHAR
,
VARCHAR
,
BINARY
, and
VARBINARY
columns.
BLOB
and
TEXT
columns also can be
indexed, but a prefix length must be
given.
Prefix lengths are given in characters for nonbinary string
types and in bytes for binary string types. That is, index
entries consist of the first length
characters of each column value for
CHAR
,
VARCHAR
, and
TEXT
columns, and the first
length
bytes of each column value
for BINARY
,
VARBINARY
, and
BLOB
columns.
For spatial columns, prefix values cannot be given, as described later in this section.
The statement shown here creates an index using the first 10
characters of the name
column:
CREATE INDEX part_of_name ON customer (name(10));
If names in the column usually differ in the first 10 characters,
this index should not be much slower than an index created from
the entire name
column. Also, using column
prefixes for indexes can make the index file much smaller, which
could save a lot of disk space and might also speed up
INSERT
operations.
Prefix support and lengths of prefixes (where supported) are
storage engine dependent. For example, a prefix can be up to 1000
bytes long for MyISAM
tables, and 767 bytes for
InnoDB
tables.
Prefix limits are measured in bytes, whereas the prefix length
in CREATE INDEX
statements is
interpreted as number of characters for nonbinary data types
(CHAR
,
VARCHAR
,
TEXT
). Take this into account
when specifying a prefix length for a column that uses a
multi-byte character set.
A UNIQUE
index creates a constraint such that
all values in the index must be distinct. An error occurs if you
try to add a new row with a key value that matches an existing
row. For all engines, a UNIQUE
index permits
multiple NULL
values for columns that can
contain NULL
. If you specify a prefix value for
a column in a UNIQUE
index, the column values
must be unique within the prefix.
FULLTEXT
indexes are supported only for
InnoDB
and
MyISAM
tables and can include only
CHAR
,
VARCHAR
, and
TEXT
columns. Indexing always
happens over the entire column; column prefix indexing is not
supported and any prefix length is ignored if specified. See
Section 12.9, “Full-Text Search Functions”, for details of operation.
The MyISAM
, InnoDB
,
NDB
, and ARCHIVE
storage engines support spatial columns such as
(POINT
and GEOMETRY
.
(Section 12.17, “Spatial Extensions”, describes the spatial data
types.) However, support for spatial column indexing varies among
engines. Spatial and nonspatial indexes are available according to
the following rules.
Spatial indexes (created using SPATIAL INDEX
)
have these characteristics:
Available only for MyISAM
tables.
Specifying SPATIAL INDEX
for other storage
engines results in an error.
Indexed columns must be NOT NULL
.
In MySQL 5.6, column prefix lengths are prohibited. The full width of each column is indexed.
Characteristics of nonspatial indexes (created with
INDEX
, UNIQUE
, or
PRIMARY KEY
):
Permitted for any storage engine that supports spatial columns
except ARCHIVE
.
Columns can be NULL
unless the index is a
primary key.
For each spatial column in a non-SPATIAL
index except POINT
columns, a column prefix
length must be specified. (This is the same requirement as for
indexed BLOB
columns.) The
prefix length is given in bytes.
The index type for a non-SPATIAL
index
depends on the storage engine. Currently, B-tree is used.
In MySQL 5.6:
You can add an index on a column that can have
NULL
values only if you are using the
InnoDB
,
MyISAM
, or
MEMORY
storage engine.
You can add an index on a BLOB
or TEXT
column only if you are
using the InnoDB
or
MyISAM
storage engine.
When the
innodb_stats_persistent
setting is enabled, run the ANALYZE
TABLE
statement for an InnoDB
table after creating an index on that table.
An index_col_name
specification can end
with ASC
or DESC
. These
keywords are permitted for future extensions for specifying
ascending or descending index value storage. Currently, they are
parsed but ignored; index values are always stored in ascending
order.
Following the index column list, index options can be given. An
index_option
value can be any of the
following:
KEY_BLOCK_SIZE [=]
value
For compressed
InnoDB
tables, optionally specifies the
size in bytes to use for
pages. The value is treated
as a hint; a different size could be used if necessary. A
value of 0 represents the default compressed page size. See
Section 14.2.2.7, “InnoDB
Data Compression” for usage details.
Oracle recommends enabling
innodb_strict_mode
when
using the KEY_BLOCK_SIZE
clause for
InnoDB
tables. See
Section 14.2.6.7, “InnoDB
Strict Mode” for
details.
index_type
Some storage engines permit you to specify an index type when creating an index. The permissible index type values supported by different storage engines are shown in the following table. Where multiple index types are listed, the first one is the default when no index type specifier is given.
Storage Engine | Permissible Index Types |
---|---|
InnoDB | BTREE |
MyISAM | BTREE |
MEMORY /HEAP | HASH , BTREE |
NDB | HASH , BTREE (see note in text) |
Example:
CREATE TABLE lookup (id INT) ENGINE = MEMORY; CREATE INDEX id_index ON lookup (id) USING BTREE;
The index_type
clause cannot be
used together with SPATIAL INDEX
.
If you specify an index type that is not valid for a given
storage engine, but there is another index type available that
the engine can use without affecting query results, the engine
uses the available type. The parser recognizes
RTREE
as a type name, but currently this
cannot be specified for any storage engine.
Use of this option before the ON
clause is
deprecated; support for use of the option in this position
will be removed in a future MySQL release. If an
tbl_name
index_type
option is given in both
the earlier and later positions, the final option applies.
TYPE
is recognized as a synonym for type_name
USING
. However,
type_name
USING
is the preferred form.
WITH PARSER
parser_name
This option can be used only with FULLTEXT
indexes. It associates a parser plugin with the index if
full-text indexing and searching operations need special
handling. See Section 22.2, “The MySQL Plugin API”, for details on
creating plugins.
COMMENT '
string
'
Index definitions can include an optional comment of up to 1024 characters.
As of MySQL 5.6.6, the ALGORITHM
and
LOCK
clauses may be given. These influence the
table copying method and level of concurrency for reading and
writing the table while its indexes are being modified. They have
the same meaning as for the ALTER
TABLE
statement. For more information, see
Section 13.1.6, “ALTER TABLE
Syntax”
CREATE [DEFINER = {user
| CURRENT_USER }] PROCEDUREsp_name
([proc_parameter
[,...]]) [characteristic
...]routine_body
CREATE [DEFINER = {user
| CURRENT_USER }] FUNCTIONsp_name
([func_parameter
[,...]]) RETURNStype
[characteristic
...]routine_body
proc_parameter
: [ IN | OUT | INOUT ]param_name
type
func_parameter
:param_name
type
type
:Any valid MySQL data type
characteristic
: COMMENT 'string
' | LANGUAGE SQL | [NOT] DETERMINISTIC | { CONTAINS SQL | NO SQL | READS SQL DATA | MODIFIES SQL DATA } | SQL SECURITY { DEFINER | INVOKER }routine_body
:Valid SQL routine statement
These statements create stored routines. By default, a routine is
associated with the default database. To associate the routine
explicitly with a given database, specify the name as
db_name.sp_name
when you create it.
The CREATE FUNCTION
statement is
also used in MySQL to support UDFs (user-defined functions). See
Section 22.3, “Adding New Functions to MySQL”. A UDF can be regarded as an
external stored function. Stored functions share their namespace
with UDFs. See Section 9.2.4, “Function Name Parsing and Resolution”, for the
rules describing how the server interprets references to different
kinds of functions.
To invoke a stored procedure, use the
CALL
statement (see
Section 13.2.1, “CALL
Syntax”). To invoke a stored function, refer to it
in an expression. The function returns a value during expression
evaluation.
CREATE PROCEDURE
and
CREATE FUNCTION
require the
CREATE ROUTINE
privilege. They
might also require the SUPER
privilege, depending on the DEFINER
value, as
described later in this section. If binary logging is enabled,
CREATE FUNCTION
might require the
SUPER
privilege, as described in
Section 18.7, “Binary Logging of Stored Programs”.
By default, MySQL automatically grants the
ALTER ROUTINE
and
EXECUTE
privileges to the routine
creator. This behavior can be changed by disabling the
automatic_sp_privileges
system
variable. See Section 18.2.2, “Stored Routines and MySQL Privileges”.
The DEFINER
and SQL SECURITY
clauses specify the security context to be used when checking
access privileges at routine execution time, as described later in
this section.
If the routine name is the same as the name of a built-in SQL function, a syntax error occurs unless you use a space between the name and the following parenthesis when defining the routine or invoking it later. For this reason, avoid using the names of existing SQL functions for your own stored routines.
The IGNORE_SPACE
SQL mode
applies to built-in functions, not to stored routines. It is
always permissible to have spaces after a stored routine name,
regardless of whether
IGNORE_SPACE
is enabled.
The parameter list enclosed within parentheses must always be
present. If there are no parameters, an empty parameter list of
()
should be used. Parameter names are not case
sensitive.
Each parameter is an IN
parameter by default.
To specify otherwise for a parameter, use the keyword
OUT
or INOUT
before the
parameter name.
Specifying a parameter as IN
,
OUT
, or INOUT
is valid
only for a PROCEDURE
. For a
FUNCTION
, parameters are always regarded as
IN
parameters.
An IN
parameter passes a value into a
procedure. The procedure might modify the value, but the
modification is not visible to the caller when the procedure
returns. An OUT
parameter passes a value from
the procedure back to the caller. Its initial value is
NULL
within the procedure, and its value is
visible to the caller when the procedure returns. An
INOUT
parameter is initialized by the caller,
can be modified by the procedure, and any change made by the
procedure is visible to the caller when the procedure returns.
For each OUT
or INOUT
parameter, pass a user-defined variable in the
CALL
statement that invokes the
procedure so that you can obtain its value when the procedure
returns. If you are calling the procedure from within another
stored procedure or function, you can also pass a routine
parameter or local routine variable as an IN
or
INOUT
parameter.
The following example shows a simple stored procedure that uses an
OUT
parameter:
mysql>delimiter //
mysql>CREATE PROCEDURE simpleproc (OUT param1 INT)
->BEGIN
->SELECT COUNT(*) INTO param1 FROM t;
->END//
Query OK, 0 rows affected (0.00 sec) mysql>delimiter ;
mysql>CALL simpleproc(@a);
Query OK, 0 rows affected (0.00 sec) mysql>SELECT @a;
+------+ | @a | +------+ | 3 | +------+ 1 row in set (0.00 sec)
The example uses the mysql client
delimiter
command to change the statement
delimiter from ;
to //
while
the procedure is being defined. This enables the
;
delimiter used in the procedure body to be
passed through to the server rather than being interpreted by
mysql itself. See
Section 18.1, “Defining Stored Programs”.
The RETURNS
clause may be specified only for a
FUNCTION
, for which it is mandatory. It
indicates the return type of the function, and the function body
must contain a RETURN
statement. If the
value
RETURN
statement returns a value of
a different type, the value is coerced to the proper type. For
example, if a function specifies an
ENUM
or
SET
value in the
RETURNS
clause, but the
RETURN
statement returns an
integer, the value returned from the function is the string for
the corresponding ENUM
member of
set of SET
members.
The following example function takes a parameter, performs an
operation using an SQL function, and returns the result. In this
case, it is unnecessary to use delimiter
because the function definition contains no internal
;
statement delimiters:
mysql>CREATE FUNCTION hello (s CHAR(20))
mysql>RETURNS CHAR(50) DETERMINISTIC
->RETURN CONCAT('Hello, ',s,'!');
Query OK, 0 rows affected (0.00 sec) mysql>SELECT hello('world');
+----------------+ | hello('world') | +----------------+ | Hello, world! | +----------------+ 1 row in set (0.00 sec)
Parameter types and function return types can be declared to use
any valid data type. The COLLATE
attribute can
be used if preceded by the CHARACTER SET
attribute.
The routine_body
consists of a valid
SQL routine statement. This can be a simple statement such as
SELECT
or
INSERT
, or a compound statement
written using BEGIN
and END
.
Compound statements can contain declarations, loops, and other
control structure statements. The syntax for these statements is
described in Section 13.6, “MySQL Compound-Statement Syntax”.
MySQL permits routines to contain DDL statements, such as
CREATE
and DROP
. MySQL also
permits stored procedures (but not stored functions) to contain
SQL transaction statements such as
COMMIT
. Stored functions may not
contain statements that perform explicit or implicit commit or
rollback. Support for these statements is not required by the SQL
standard, which states that each DBMS vendor may decide whether to
permit them.
Statements that return a result set can be used within a stored
procedure but not within a stored function. This prohibition
includes SELECT
statements that do
not have an INTO
clause and other
statements such as var_list
SHOW
,
EXPLAIN
, and
CHECK TABLE
. For statements that
can be determined at function definition time to return a result
set, a Not allowed to return a result set from a
function
error occurs
(ER_SP_NO_RETSET
). For statements
that can be determined only at runtime to return a result set, a
PROCEDURE %s can't return a result set in the given
context
error occurs
(ER_SP_BADSELECT
).
USE
statements within stored
routines are not permitted. When a routine is invoked, an implicit
USE
is
performed (and undone when the routine terminates). The causes the
routine to have the given default database while it executes.
References to objects in databases other than the routine default
database should be qualified with the appropriate database name.
db_name
For additional information about statements that are not permitted in stored routines, see Section E.1, “Restrictions on Stored Programs”.
For information about invoking stored procedures from within
programs written in a language that has a MySQL interface, see
Section 13.2.1, “CALL
Syntax”.
MySQL stores the sql_mode
system
variable setting that is in effect at the time a routine is
created, and always executes the routine with this setting in
force, regardless of the server SQL mode in effect when
the routine is invoked.
The switch from the SQL mode of the invoker to that of the routine occurs after evaluation of arguments and assignment of the resulting values to routine parameters. If you define a routine in strict SQL mode but invoke it in nonstrict mode, assignment of arguments to routine parameters does not take place in strict mode. If you require that expressions passed to a routine be assigned in strict SQL mode, you should invoke the routine with strict mode in effect.
The COMMENT
characteristic is a MySQL
extension, and may be used to describe the stored routine. This
information is displayed by the SHOW CREATE
PROCEDURE
and SHOW CREATE
FUNCTION
statements.
The LANGUAGE
characteristic indicates the
language in which the routine is written. The server ignores this
characteristic; only SQL routines are supported.
A routine is considered “deterministic” if it always
produces the same result for the same input parameters, and
“not deterministic” otherwise. If neither
DETERMINISTIC
nor NOT
DETERMINISTIC
is given in the routine definition, the
default is NOT DETERMINISTIC
. To declare that a
function is deterministic, you must specify
DETERMINISTIC
explicitly.
Assessment of the nature of a routine is based on the
“honesty” of the creator: MySQL does not check that a
routine declared DETERMINISTIC
is free of
statements that produce nondeterministic results. However,
misdeclaring a routine might affect results or affect performance.
Declaring a nondeterministic routine as
DETERMINISTIC
might lead to unexpected results
by causing the optimizer to make incorrect execution plan choices.
Declaring a deterministic routine as
NONDETERMINISTIC
might diminish performance by
causing available optimizations not to be used.
If binary logging is enabled, the DETERMINISTIC
characteristic affects which routine definitions MySQL accepts.
See Section 18.7, “Binary Logging of Stored Programs”.
A routine that contains the NOW()
function (or its synonyms) or
RAND()
is nondeterministic, but it
might still be replication-safe. For
NOW()
, the binary log includes the
timestamp and replicates correctly.
RAND()
also replicates correctly as
long as it is called only a single time during the execution of a
routine. (You can consider the routine execution timestamp and
random number seed as implicit inputs that are identical on the
master and slave.)
Several characteristics provide information about the nature of data use by the routine. In MySQL, these characteristics are advisory only. The server does not use them to constrain what kinds of statements a routine will be permitted to execute.
CONTAINS SQL
indicates that the routine
does not contain statements that read or write data. This is
the default if none of these characteristics is given
explicitly. Examples of such statements are SET @x =
1
or DO RELEASE_LOCK('abc')
,
which execute but neither read nor write data.
NO SQL
indicates that the routine contains
no SQL statements.
READS SQL DATA
indicates that the routine
contains statements that read data (for example,
SELECT
), but not statements
that write data.
MODIFIES SQL DATA
indicates that the
routine contains statements that may write data (for example,
INSERT
or
DELETE
).
The SQL SECURITY
characteristic can be
DEFINER
or INVOKER
to
specify the security context; that is, whether the routine
executes using the privileges of the account named in the routine
DEFINER
clause or the user who invokes it. This
account must have permission to access the database with which the
routine is associated. The default value is
DEFINER
. The user who invokes the routine must
have the EXECUTE
privilege for it,
as must the DEFINER
account if the routine
executes in definer security context.
The DEFINER
clause specifies the MySQL account
to be used when checking access privileges at routine execution
time for routines that have the SQL SECURITY
DEFINER
characteristic.
If a user
value is given for the
DEFINER
clause, it should be a MySQL account
specified as
'
(the same format used in the user_name
'@'host_name
'GRANT
statement), CURRENT_USER
, or
CURRENT_USER()
. The default
DEFINER
value is the user who executes the
CREATE PROCEDURE
or
CREATE FUNCTION
or statement. This
is the same as specifying DEFINER =
CURRENT_USER
explicitly.
If you specify the DEFINER
clause, these rules
determine the valid DEFINER
user values:
If you do not have the SUPER
privilege, the only permitted user
value is your own account, either specified literally or by
using CURRENT_USER
. You cannot
set the definer to some other account.
If you have the SUPER
privilege, you can specify any syntactically valid account
name. If the account does not actually exist, a warning is
generated.
Although it is possible to create a routine with a nonexistent
DEFINER
account, an error occurs at routine
execution time if the SQL SECURITY
value is
DEFINER
but the definer account does not
exist.
For more information about stored routine security, see Section 18.6, “Access Control for Stored Programs and Views”.
Within a stored routine that is defined with the SQL
SECURITY DEFINER
characteristic,
CURRENT_USER
returns the routine's
DEFINER
value. For information about user
auditing within stored routines, see
Section 6.3.10, “SQL-Based MySQL Account Activity Auditing”.
Consider the following procedure, which displays a count of the
number of MySQL accounts listed in the
mysql.user
table:
CREATE DEFINER = 'admin'@'localhost' PROCEDURE account_count() BEGIN SELECT 'Number of accounts:', COUNT(*) FROM mysql.user; END;
The procedure is assigned a DEFINER
account of
'admin'@'localhost'
no matter which user
defines it. It executes with the privileges of that account no
matter which user invokes it (because the default security
characteristic is DEFINER
). The procedure
succeeds or fails depending on whether invoker has the
EXECUTE
privilege for it and
'admin'@'localhost'
has the
SELECT
privilege for the
mysql.user
table.
Now suppose that the procedure is defined with the SQL
SECURITY INVOKER
characteristic:
CREATE DEFINER = 'admin'@'localhost' PROCEDURE account_count() SQL SECURITY INVOKER BEGIN SELECT 'Number of accounts:', COUNT(*) FROM mysql.user; END;
The procedure still has a DEFINER
of
'admin'@'localhost'
, but in this case, it
executes with the privileges of the invoking user. Thus, the
procedure succeeds or fails depending on whether the invoker has
the EXECUTE
privilege for it and
the SELECT
privilege for the
mysql.user
table.
The server handles the data type of a routine parameter, local
routine variable created with
DECLARE
, or function return value
as follows:
Assignments are checked for data type mismatches and overflow. Conversion and overflow problems result in warnings, or errors in strict SQL mode.
Only scalar values can be assigned. For example, a statement
such as SET x = (SELECT 1, 2)
is invalid.
For character data types, if there is a CHARACTER
SET
attribute in the declaration, the specified
character set and its default collation is used. If the
COLLATE
attribute is also present, that
collation is used rather than the default collation. If there
is no CHARACTER SET
attribute, the database
character set and collation in effect at routine creation time
are used. (The database character set and collation are given
by the value of the
character_set_database
and
collation_database
system
variables.)
If you change the database default character set or collation, stored routines that use the database defaults must be dropped and recreated so that they use the new defaults.
CREATE SERVERserver_name
FOREIGN DATA WRAPPERwrapper_name
OPTIONS (option
[,option
] ...)option
: { HOSTcharacter-literal
| DATABASEcharacter-literal
| USERcharacter-literal
| PASSWORDcharacter-literal
| SOCKETcharacter-literal
| OWNERcharacter-literal
| PORTnumeric-literal
}
This statement creates the definition of a server for use with the
FEDERATED
storage engine. The CREATE
SERVER
statement creates a new row in the
servers
table in the mysql
database. This statement requires the
SUPER
privilege.
The
should be a unique reference to the server. Server definitions are
global within the scope of the server, it is not possible to
qualify the server definition to a specific database.
server_name
has a
maximum length of 64 characters (names longer than 64 characters
are silently truncated), and is case insensitive. You may specify
the name as a quoted string.
server_name
The
should be wrapper_name
mysql
, and may be quoted with single
quotation marks. Other values for
are not
currently supported.
wrapper_name
For each
you
must specify either a character literal or numeric literal.
Character literals are UTF-8, support a maximum length of 64
characters and default to a blank (empty) string. String literals
are silently truncated to 64 characters. Numeric literals must be
a number between 0 and 9999, default value is 0.
option
The OWNER
option is currently not applied,
and has no effect on the ownership or operation of the server
connection that is created.
The CREATE SERVER
statement creates an entry in
the mysql.servers
table that can later be used
with the CREATE TABLE
statement
when creating a FEDERATED
table. The options
that you specify will be used to populate the columns in the
mysql.servers
table. The table columns are
Server_name
, Host
,
Db
, Username
,
Password
, Port
and
Socket
.
For example:
CREATE SERVER s FOREIGN DATA WRAPPER mysql OPTIONS (USER 'Remote', HOST '192.168.1.106', DATABASE 'test');
Be sure to specify all options necessary to establish a connection to the server. The user name, host name, and database name are mandatory. Other options might be required as well, such as password.
The data stored in the table can be used when creating a
connection to a FEDERATED
table:
CREATE TABLE t (s1 INT) ENGINE=FEDERATED CONNECTION='s';
For more information, see
Section 14.9, “The FEDERATED
Storage Engine”.
CREATE SERVER
does not cause an automatic
commit.
In MySQL 5.6, CREATE SERVER
is not
written to the binary log, regardless of the logging format that
is in use.
CREATE [TEMPORARY] TABLE [IF NOT EXISTS]tbl_name
(create_definition
,...) [table_options
] [partition_options
]
Or:
CREATE [TEMPORARY] TABLE [IF NOT EXISTS]tbl_name
[(create_definition
,...)] [table_options
] [partition_options
]select_statement
Or:
CREATE [TEMPORARY] TABLE [IF NOT EXISTS]tbl_name
{ LIKEold_tbl_name
| (LIKEold_tbl_name
) }
create_definition
:col_name
column_definition
| [CONSTRAINT [symbol
]] PRIMARY KEY [index_type
] (index_col_name
,...) [index_option
] ... | {INDEX|KEY} [index_name
] [index_type
] (index_col_name
,...) [index_option
] ... | [CONSTRAINT [symbol
]] UNIQUE [INDEX|KEY] [index_name
] [index_type
] (index_col_name
,...) [index_option
] ... | {FULLTEXT|SPATIAL} [INDEX|KEY] [index_name
] (index_col_name
,...) [index_option
] ... | [CONSTRAINT [symbol
]] FOREIGN KEY [index_name
] (index_col_name
,...)reference_definition
| CHECK (expr
)column_definition
:data_type
[NOT NULL | NULL] [DEFAULTdefault_value
] [AUTO_INCREMENT] [UNIQUE [KEY] | [PRIMARY] KEY] [COMMENT 'string
'] [COLUMN_FORMAT {FIXED|DYNAMIC|DEFAULT}] [reference_definition
]data_type
: BIT[(length
)] | TINYINT[(length
)] [UNSIGNED] [ZEROFILL] | SMALLINT[(length
)] [UNSIGNED] [ZEROFILL] | MEDIUMINT[(length
)] [UNSIGNED] [ZEROFILL] | INT[(length
)] [UNSIGNED] [ZEROFILL] | INTEGER[(length
)] [UNSIGNED] [ZEROFILL] | BIGINT[(length
)] [UNSIGNED] [ZEROFILL] | REAL[(length
,decimals
)] [UNSIGNED] [ZEROFILL] | DOUBLE[(length
,decimals
)] [UNSIGNED] [ZEROFILL] | FLOAT[(length
,decimals
)] [UNSIGNED] [ZEROFILL] | DECIMAL[(length
[,decimals
])] [UNSIGNED] [ZEROFILL] | NUMERIC[(length
[,decimals
])] [UNSIGNED] [ZEROFILL] | DATE | TIME | TIMESTAMP | DATETIME | YEAR | CHAR[(length
)] [CHARACTER SETcharset_name
] [COLLATEcollation_name
] | VARCHAR(length
) [CHARACTER SETcharset_name
] [COLLATEcollation_name
] | BINARY[(length
)] | VARBINARY(length
) | TINYBLOB | BLOB | MEDIUMBLOB | LONGBLOB | TINYTEXT [BINARY] [CHARACTER SETcharset_name
] [COLLATEcollation_name
] | TEXT [BINARY] [CHARACTER SETcharset_name
] [COLLATEcollation_name
] | MEDIUMTEXT [BINARY] [CHARACTER SETcharset_name
] [COLLATEcollation_name
] | LONGTEXT [BINARY] [CHARACTER SETcharset_name
] [COLLATEcollation_name
] | ENUM(value1
,value2
,value3
,...) [CHARACTER SETcharset_name
] [COLLATEcollation_name
] | SET(value1
,value2
,value3
,...) [CHARACTER SETcharset_name
] [COLLATEcollation_name
] |spatial_type
index_col_name
:col_name
[(length
)] [ASC | DESC]index_type
: USING {BTREE | HASH}index_option
: KEY_BLOCK_SIZE [=]value
|index_type
| WITH PARSERparser_name
| COMMENT 'string
'reference_definition
: REFERENCEStbl_name
(index_col_name
,...) [MATCH FULL | MATCH PARTIAL | MATCH SIMPLE] [ON DELETEreference_option
] [ON UPDATEreference_option
]reference_option
: RESTRICT | CASCADE | SET NULL | NO ACTIONtable_options
:table_option
[[,]table_option
] ...table_option
: ENGINE [=]engine_name
| AUTO_INCREMENT [=]value
| AVG_ROW_LENGTH [=]value
| [DEFAULT] CHARACTER SET [=]charset_name
| CHECKSUM [=] {0 | 1} | [DEFAULT] COLLATE [=]collation_name
| COMMENT [=] 'string
' | CONNECTION [=] 'connect_string
' | DATA DIRECTORY [=] 'absolute path to directory
' | DELAY_KEY_WRITE [=] {0 | 1} | INDEX DIRECTORY [=] 'absolute path to directory
' | INSERT_METHOD [=] { NO | FIRST | LAST } | KEY_BLOCK_SIZE [=]value
| MAX_ROWS [=]value
| MIN_ROWS [=]value
| PACK_KEYS [=] {0 | 1 | DEFAULT} | PASSWORD [=] 'string
' | ROW_FORMAT [=] {DEFAULT|DYNAMIC|FIXED|COMPRESSED|REDUNDANT|COMPACT} | STATS_AUTO_RECALC [=] {DEFAULT|0|1} | STATS_PERSISTENT [=] {DEFAULT|0|1} | UNION [=] (tbl_name
[,tbl_name
]...)partition_options
: PARTITION BY { [LINEAR] HASH(expr
) | [LINEAR] KEY(column_list
) | RANGE{(expr
) | COLUMNS(column_list
)} | LIST{(expr
) | COLUMNS(column_list
)} } [PARTITIONSnum
] [SUBPARTITION BY { [LINEAR] HASH(expr
) | [LINEAR] KEY(column_list
) } [SUBPARTITIONSnum
] ] [(partition_definition
[,partition_definition
] ...)]partition_definition
: PARTITIONpartition_name
[VALUES {LESS THAN {(expr
|value_list
) |MAXVALUE
} | IN (value_list
)}] [[STORAGE] ENGINE [=]engine_name
] [COMMENT [=]'comment_text'
] [DATA DIRECTORY [=] ''] [INDEX DIRECTORY [=] '
data_dir
'] [MAX_ROWS [=]
index_dir
max_number_of_rows
] [MIN_ROWS [=]min_number_of_rows
] [(subpartition_definition
[,subpartition_definition
] ...)]subpartition_definition
: SUBPARTITIONlogical_name
[[STORAGE] ENGINE [=]engine_name
] [COMMENT [=]'comment_text'
] [DATA DIRECTORY [=] ''] [INDEX DIRECTORY [=] '
data_dir
'] [MAX_ROWS [=]
index_dir
max_number_of_rows
] [MIN_ROWS [=]min_number_of_rows
]select_statement:
[IGNORE | REPLACE] [AS] SELECT ... (Some valid select statement
)
CREATE TABLE
creates a table with
the given name. You must have the
CREATE
privilege for the table.
Rules for permissible table names are given in
Section 9.2, “Schema Object Names”. By default, the table is created in
the default database, using the
InnoDB
storage engine. An error
occurs if the table exists, if there is no default database, or if
the database does not exist.
The table name can be specified as
db_name.tbl_name
to create the table in
a specific database. This works regardless of whether there is a
default database, assuming that the database exists. If you use
quoted identifiers, quote the database and table names separately.
For example, write `mydb`.`mytbl`
, not
`mydb.mytbl`
.
You can use the TEMPORARY
keyword when creating
a table. A TEMPORARY
table is visible only to
the current connection, and is dropped automatically when the
connection is closed. This means that two different connections
can use the same temporary table name without conflicting with
each other or with an existing non-TEMPORARY
table of the same name. (The existing table is hidden until the
temporary table is dropped.) To create temporary tables, you must
have the CREATE TEMPORARY TABLES
privilege.
CREATE TABLE
does not
automatically commit the current active transaction if you use
the TEMPORARY
keyword.
The keywords IF NOT EXISTS
prevent an error
from occurring if the table exists. However, there is no
verification that the existing table has a structure identical to
that indicated by the CREATE TABLE
statement.
MySQL represents each table by an .frm
table
format (definition) file in the database directory. The storage
engine for the table might create other files as well.
For InnoDB
tables, the file storage is
controlled by the
innodb_file_per_table
configuration option. When this option is turned off, all
InnoDB
tables and indexes are stored in the
system tablespace,
represented by one or more .ibd
files. For each InnoDB
table created
when this option is turned on, the table data and all associated
indexes are stored in a .ibd
file located inside the database directory.
For MyISAM
tables, the storage engine creates
data and index files. Thus, for each MyISAM
table tbl_name
, there are three disk
files.
File | Purpose |
---|---|
| Table format (definition) file |
| Data file |
| Index file |
Chapter 14, Storage Engines, describes what files each storage engine creates to represent tables. If a table name contains special characters, the names for the table files contain encoded versions of those characters as described in Section 9.2.3, “Mapping of Identifiers to File Names”.
data_type
represents the data type in a
column definition. spatial_type
represents a spatial data type. The data type syntax shown is
representative only. For a full description of the syntax
available for specifying column data types, as well as information
about the properties of each type, see
Chapter 11, Data Types, and
Section 12.17, “Spatial Extensions”.
Some attributes do not apply to all data types.
AUTO_INCREMENT
applies only to integer and
floating-point types. DEFAULT
does not apply to
the BLOB
or
TEXT
types.
If neither NULL
nor NOT
NULL
is specified, the column is treated as though
NULL
had been specified.
An integer or floating-point column can have the additional
attribute AUTO_INCREMENT
. When you insert a
value of NULL
(recommended) or
0
into an indexed
AUTO_INCREMENT
column, the column is set to
the next sequence value. Typically this is
, where
value
+1value
is the largest value for the
column currently in the table.
AUTO_INCREMENT
sequences begin with
1
.
To retrieve an AUTO_INCREMENT
value after
inserting a row, use the
LAST_INSERT_ID()
SQL function
or the mysql_insert_id()
C API
function. See Section 12.14, “Information Functions”, and
Section 21.9.3.37, “mysql_insert_id()
”.
If the NO_AUTO_VALUE_ON_ZERO
SQL mode is enabled, you can store 0
in
AUTO_INCREMENT
columns as
0
without generating a new sequence value.
See Section 5.1.7, “Server SQL Modes”.
There can be only one AUTO_INCREMENT
column per table, it must be indexed, and it cannot have a
DEFAULT
value. An
AUTO_INCREMENT
column works properly only
if it contains only positive values. Inserting a negative
number is regarded as inserting a very large positive
number. This is done to avoid precision problems when
numbers “wrap” over from positive to negative
and also to ensure that you do not accidentally get an
AUTO_INCREMENT
column that contains
0
.
For MyISAM
tables, you can specify an
AUTO_INCREMENT
secondary column in a
multiple-column key. See
Section 3.6.9, “Using AUTO_INCREMENT
”.
To make MySQL compatible with some ODBC applications, you can
find the AUTO_INCREMENT
value for the last
inserted row with the following query:
SELECT * FROMtbl_name
WHEREauto_col
IS NULL
For information about InnoDB
and
AUTO_INCREMENT
, see
Section 14.2.2.4, “AUTO_INCREMENT
Handling in InnoDB
”. For
information about AUTO_INCREMENT
and MySQL
Replication, see
Section 16.4.1.1, “Replication and AUTO_INCREMENT
”.
Character data types (CHAR
,
VARCHAR
,
TEXT
) can include
CHARACTER SET
and
COLLATE
attributes to specify the character
set and collation for the column. For details, see
Section 10.1, “Character Set Support”. CHARSET
is a
synonym for CHARACTER SET
. Example:
CREATE TABLE t (c CHAR(20) CHARACTER SET utf8 COLLATE utf8_bin);
MySQL 5.6 interprets length specifications in
character column definitions in characters. (Versions before
MySQL 4.1 interpreted them in bytes.) Lengths for
BINARY
and
VARBINARY
are in bytes.
The DEFAULT
clause specifies a default
value for a column. With one exception, the default value must
be a constant; it cannot be a function or an expression. This
means, for example, that you cannot set the default for a date
column to be the value of a function such as
NOW()
or
CURRENT_DATE
. The exception is
that you can specify
CURRENT_TIMESTAMP
as the
default for a TIMESTAMP
column.
See Section 11.3.5, “Automatic Initialization and Updating for
TIMESTAMP
and
DATETIME
”.
If a column definition includes no explicit
DEFAULT
value, MySQL determines the default
value as described in Section 11.5, “Data Type Default Values”.
BLOB
and
TEXT
columns cannot be assigned
a default value.
If the NO_ZERO_DATE
or
NO_ZERO_IN_DATE
SQL mode is
enabled and a date-valued default is not correct according to
that mode, CREATE TABLE
produces a warning if strict SQL mode is not enabled and an
error if strict mode is enabled. For example, with
NO_ZERO_IN_DATE
enabled,
c1 DATE DEFAULT '2010-00-00'
produces a
warning. (Before MySQL 5.6.6, the statement produces an error
even if strict mode is not enabled.)
A comment for a column can be specified with the
COMMENT
option, up to 1024 characters long.
The comment is displayed by the SHOW
CREATE TABLE
and
SHOW FULL
COLUMNS
statements.
KEY
is normally a synonym for
INDEX
. The key attribute PRIMARY
KEY
can also be specified as just
KEY
when given in a column definition. This
was implemented for compatibility with other database systems.
A UNIQUE
index creates a constraint such
that all values in the index must be distinct. An error occurs
if you try to add a new row with a key value that matches an
existing row. For all engines, a UNIQUE
index permits multiple NULL
values for
columns that can contain NULL
.
A PRIMARY KEY
is a unique index where all
key columns must be defined as NOT NULL
. If
they are not explicitly declared as NOT
NULL
, MySQL declares them so implicitly (and
silently). A table can have only one PRIMARY
KEY
. The name of a PRIMARY KEY
is
always PRIMARY
, which thus cannot be used
as the name for any other kind of index.
If you do not have a PRIMARY KEY
and an
application asks for the PRIMARY KEY
in
your tables, MySQL returns the first UNIQUE
index that has no NULL
columns as the
PRIMARY KEY
.
In InnoDB
tables, keep the PRIMARY
KEY
short to minimize storage overhead for secondary
indexes. Each secondary index entry contains a copy of the
primary key columns for the corresponding row. (See
Section 14.2.4.12, “InnoDB
Table and Index Structures”.)
In the created table, a PRIMARY KEY
is
placed first, followed by all UNIQUE
indexes, and then the nonunique indexes. This helps the MySQL
optimizer to prioritize which index to use and also more
quickly to detect duplicated UNIQUE
keys.
A PRIMARY KEY
can be a multiple-column
index. However, you cannot create a multiple-column index
using the PRIMARY KEY
key attribute in a
column specification. Doing so only marks that single column
as primary. You must use a separate PRIMARY
KEY(
clause.
index_col_name
, ...)
If a PRIMARY KEY
or
UNIQUE
index consists of only one column
that has an integer type, you can also refer to the column as
_rowid
in
SELECT
statements.
In MySQL, the name of a PRIMARY KEY
is
PRIMARY
. For other indexes, if you do not
assign a name, the index is assigned the same name as the
first indexed column, with an optional suffix
(_2
, _3
,
...
) to make it unique. You can see index
names for a table using SHOW INDEX FROM
. See
Section 13.7.5.23, “tbl_name
SHOW INDEX
Syntax”.
Some storage engines permit you to specify an index type when
creating an index. The syntax for the
index_type
specifier is
USING
.
type_name
Example:
CREATE TABLE lookup (id INT, INDEX USING BTREE (id)) ENGINE = MEMORY;
The preferred position for USING
is after
the index column list. It can be given before the column list,
but support for use of the option in that position is
deprecated and will be removed in a future MySQL release.
index_option
values specify
additional options for an index. USING
is
one such option. For details about permissible
index_option
values, see
Section 13.1.11, “CREATE INDEX
Syntax”.
For more information about indexes, see Section 8.3.1, “How MySQL Uses Indexes”.
In MySQL 5.6, only the InnoDB
,
MyISAM
, and MEMORY
storage engines support indexes on columns that can have
NULL
values. In other cases, you must
declare indexed columns as NOT NULL
or an
error results.
For CHAR
,
VARCHAR
,
BINARY
, and
VARBINARY
columns, indexes can
be created that use only the leading part of column values,
using
syntax to specify an index prefix length.
col_name
(length
)BLOB
and
TEXT
columns also can be
indexed, but a prefix length must be
given. Prefix lengths are given in characters for nonbinary
string types and in bytes for binary string types. That is,
index entries consist of the first
length
characters of each column
value for CHAR
,
VARCHAR
, and
TEXT
columns, and the first
length
bytes of each column value
for BINARY
,
VARBINARY
, and
BLOB
columns. Indexing only a
prefix of column values like this can make the index file much
smaller. See Section 8.3.4, “Column Indexes”.
Only the InnoDB
and
MyISAM
storage engines support indexing on
BLOB
and
TEXT
columns. For example:
CREATE TABLE test (blob_col BLOB, INDEX(blob_col(10)));
Prefixes can be up to 1000 bytes long (767 bytes for
InnoDB
tables). Note that prefix limits are
measured in bytes, whereas the prefix length in
CREATE TABLE
statements is
interpreted as number of characters for nonbinary data types
(CHAR
,
VARCHAR
,
TEXT
). Take this into account
when specifying a prefix length for a column that uses a
multi-byte character set.
An index_col_name
specification can
end with ASC
or DESC
.
These keywords are permitted for future extensions for
specifying ascending or descending index value storage.
Currently, they are parsed but ignored; index values are
always stored in ascending order.
When you use ORDER BY
or GROUP
BY
on a column in a
SELECT
, the server sorts values
using only the initial number of bytes indicated by the
max_sort_length
system
variable.
You can create special FULLTEXT
indexes,
which are used for full-text searches. Only the
InnoDB
and
MyISAM
storage engines support
FULLTEXT
indexes. They can be created only
from CHAR
,
VARCHAR
, and
TEXT
columns. Indexing always
happens over the entire column; column prefix indexing is not
supported and any prefix length is ignored if specified. See
Section 12.9, “Full-Text Search Functions”, for details of operation. A
WITH PARSER
clause can be specified as an
index_option
value to associate a
parser plugin with the index if full-text indexing and
searching operations need special handling. This clause is
valid only for FULLTEXT
indexes. See
Section 22.2, “The MySQL Plugin API”, for details on creating plugins.
You can create SPATIAL
indexes on spatial
data types. Spatial types are supported only for
MyISAM
tables and indexed columns must be
declared as NOT NULL
. See
Section 12.17, “Spatial Extensions”.
In MySQL 5.6, index definitions can include an optional comment of up to 1024 characters.
InnoDB
tables support checking of foreign
key constraints. See Section 14.2, “The InnoDB
Storage Engine”.
Note that the FOREIGN KEY
syntax in
InnoDB
is more restrictive than the syntax
presented for the CREATE TABLE
statement at the beginning of this section: The columns of the
referenced table must always be explicitly named.
InnoDB
supports both ON
DELETE
and ON UPDATE
actions on
foreign keys. For the precise syntax, see
Section 14.2.2.5, “FOREIGN KEY
Constraints”.
For other storage engines, MySQL Server parses and ignores the
FOREIGN KEY
and
REFERENCES
syntax in
CREATE TABLE
statements. The
CHECK
clause is parsed but ignored by all
storage engines. See Section 1.8.5.4, “Foreign Key Differences”.
For users familiar with the ANSI/ISO SQL Standard, please
note that no storage engine, including
InnoDB
, recognizes or enforces the
MATCH
clause used in referential
integrity constraint definitions. Use of an explicit
MATCH
clause will not have the specified
effect, and also causes ON DELETE
and
ON UPDATE
clauses to be ignored. For
these reasons, specifying MATCH
should be
avoided.
The MATCH
clause in the SQL standard
controls how NULL
values in a composite
(multiple-column) foreign key are handled when comparing to
a primary key. InnoDB
essentially
implements the semantics defined by MATCH
SIMPLE
, which permit a foreign key to be all or
partially NULL
. In that case, the (child
table) row containing such a foreign key is permitted to be
inserted, and does not match any row in the referenced
(parent) table. It is possible to implement other semantics
using triggers.
Additionally, MySQL and InnoDB
require
that the referenced columns be indexed for performance.
However, the system does not enforce a requirement that the
referenced columns be UNIQUE
or be
declared NOT NULL
. The handling of
foreign key references to nonunique keys or keys that
contain NULL
values is not well defined
for operations such as UPDATE
or DELETE CASCADE
. You are advised to use
foreign keys that reference only UNIQUE
and NOT NULL
keys.
Furthermore, InnoDB
does not recognize or
support “inline REFERENCES
specifications” (as defined in the SQL standard)
where the references are defined as part of the column
specification. InnoDB
accepts
REFERENCES
clauses only when specified as
part of a separate FOREIGN KEY
specification. For other storage engines, MySQL Server
parses and ignores foreign key specifications.
Partitioned tables do not support foreign keys. See Section 17.6, “Restrictions and Limitations on Partitioning”, for more information.
There is a hard limit of 4096 columns per table, but the effective maximum may be less for a given table and depends on the factors discussed in Section E.10.4, “Table Column-Count and Row-Size Limits”.
The ENGINE
table option specifies the storage
engine for the table, using one of the names shown in the
following table.
Storage Engine | Description |
---|---|
InnoDB | Transaction-safe tables with row locking and foreign keys. The default
storage engine for new tables. See
Section 14.2, “The InnoDB Storage Engine”, and in particular
Section 14.2.1.1, “InnoDB as the Default MySQL Storage Engine” if you have MySQL
experience but are new to InnoDB . |
MyISAM | The binary portable storage engine that is primarily used for read-only
or read-mostly workloads. See
Section 14.3, “The MyISAM Storage Engine”. |
MEMORY | The data for this storage engine is stored only in memory. See
Section 14.4, “The MEMORY Storage Engine”. |
CSV | Tables that store rows in comma-separated values format. See
Section 14.5, “The CSV Storage Engine”. |
ARCHIVE | The archiving storage engine. See
Section 14.6, “The ARCHIVE Storage Engine”. |
EXAMPLE | An example engine. See Section 14.10, “The EXAMPLE Storage Engine”. |
FEDERATED | Storage engine that accesses remote tables. See
Section 14.9, “The FEDERATED Storage Engine”. |
HEAP | This is a synonym for MEMORY . |
MERGE | A collection of MyISAM tables used as one table. Also
known as MRG_MyISAM . See
Section 14.8, “The MERGE Storage Engine”. |
ISAM (OBSOLETE) | Not available in MySQL 5.6. If you are upgrading to MySQL
5.6 from a previous version, you should
convert any existing ISAM tables to
MyISAM before
performing the upgrade. |
If a storage engine is specified that is not available, MySQL uses
the default engine instead. Normally, this is
MyISAM
. For example, if a table definition
includes the ENGINE=INNODB
option but the MySQL
server does not support INNODB
tables, the
table is created as a MyISAM
table. This makes
it possible to have a replication setup where you have
transactional tables on the master but tables created on the slave
are nontransactional (to get more speed). In MySQL
5.6, a warning occurs if the storage engine
specification is not honored.
Engine substitution can be controlled by the setting of the
NO_ENGINE_SUBSTITUTION
SQL mode,
as described in Section 5.1.7, “Server SQL Modes”.
The older TYPE
option that was synonymous
with ENGINE
was removed in MySQL 5.5.
When upgrading to MySQL 5.5 or later, you must convert
existing applications that rely on TYPE
to
use ENGINE
instead.
The other table options are used to optimize the behavior of the
table. In most cases, you do not have to specify any of them.
These options apply to all storage engines unless otherwise
indicated. Options that do not apply to a given storage engine may
be accepted and remembered as part of the table definition. Such
options then apply if you later use ALTER
TABLE
to convert the table to use a different storage
engine.
AUTO_INCREMENT
The initial AUTO_INCREMENT
value for the
table. In MySQL 5.6, this works for
MyISAM
, MEMORY
,
InnoDB
, and ARCHIVE
tables. To set the first auto-increment value for engines that
do not support the AUTO_INCREMENT
table
option, insert a “dummy” row with a value one
less than the desired value after creating the table, and then
delete the dummy row.
For engines that support the AUTO_INCREMENT
table option in CREATE TABLE
statements, you can also use ALTER TABLE
to reset the
tbl_name
AUTO_INCREMENT =
N
AUTO_INCREMENT
value. The value cannot be
set lower than the maximum value currently in the column.
AVG_ROW_LENGTH
An approximation of the average row length for your table. You need to set this only for large tables with variable-size rows.
When you create a MyISAM
table, MySQL uses
the product of the MAX_ROWS
and
AVG_ROW_LENGTH
options to decide how big
the resulting table is. If you don't specify either option,
the maximum size for MyISAM
data and index
files is 256TB by default. (If your operating system does not
support files that large, table sizes are constrained by the
file size limit.) If you want to keep down the pointer sizes
to make the index smaller and faster and you don't really need
big files, you can decrease the default pointer size by
setting the
myisam_data_pointer_size
system variable. (See
Section 5.1.4, “Server System Variables”.) If you want all
your tables to be able to grow above the default limit and are
willing to have your tables slightly slower and larger than
necessary, you can increase the default pointer size by
setting this variable. Setting the value to 7 permits table
sizes up to 65,536TB.
[DEFAULT] CHARACTER SET
Specify a default character set for the table.
CHARSET
is a synonym for CHARACTER
SET
. If the character set name is
DEFAULT
, the database character set is
used.
CHECKSUM
Set this to 1 if you want MySQL to maintain a live checksum
for all rows (that is, a checksum that MySQL updates
automatically as the table changes). This makes the table a
little slower to update, but also makes it easier to find
corrupted tables. The CHECKSUM
TABLE
statement reports the checksum.
(MyISAM
only.)
[DEFAULT] COLLATE
Specify a default collation for the table.
COMMENT
A comment for the table, up to 2048 characters long.
CONNECTION
The connection string for a FEDERATED
table.
Older versions of MySQL used a COMMENT
option for the connection string.
DATA DIRECTORY
, INDEX
DIRECTORY
By using DATA
DIRECTORY='
,
you can specify where the directory
'InnoDB
storage
engine puts the .ibd
tablespace file for a
new table. This clause only applies when the
innodb_file_per_table
configuration option is enabled. The directory must be the
full path name to the directory, not a relative path. See
Section 14.2.5.2.33, “Improved Tablespace Management” for details
about the performance aspects of tablespace management.
When creating MyISAM
tables, you can use
the DATA
DIRECTORY='
clause, the directory
'INDEX
DIRECTORY='
clause, or both. They specify where to put a
directory
'MyISAM
table's data file and index file
respectively.
Table-level DATA DIRECTORY
and
INDEX DIRECTORY
options are ignored for
partitioned tables. (Bug #32091)
These options work only when you are not using the
--skip-symbolic-links
option. Your operating system must also have a working,
thread-safe realpath()
call. See
Section 8.11.3.1.2, “Using Symbolic Links for MyISAM
Tables on Unix”, for more complete
information.
If a MyISAM
table is created with no
DATA DIRECTORY
option, the
.MYD
file is created in the database
directory. By default, if MyISAM
finds an
existing .MYD
file in this case, it
overwrites it. The same applies to .MYI
files for tables created with no INDEX
DIRECTORY
option. To suppress this behavior, start
the server with the
--keep_files_on_create
option,
in which case MyISAM
will not overwrite
existing files and returns an error instead.
If a MyISAM
table is created with a
DATA DIRECTORY
or INDEX
DIRECTORY
option and an existing
.MYD
or .MYI
file is
found, MyISAM always returns an error. It will not overwrite a
file in the specified directory.
You cannot use path names that contain the MySQL data
directory with DATA DIRECTORY
or
INDEX DIRECTORY
. This includes
partitioned tables and individual table partitions. (See Bug
#32167.)
DELAY_KEY_WRITE
Set this to 1 if you want to delay key updates for the table
until the table is closed. See the description of the
delay_key_write
system
variable in Section 5.1.4, “Server System Variables”.
(MyISAM
only.)
INSERT_METHOD
If you want to insert data into a MERGE
table, you must specify with INSERT_METHOD
the table into which the row should be inserted.
INSERT_METHOD
is an option useful for
MERGE
tables only. Use a value of
FIRST
or LAST
to have
inserts go to the first or last table, or a value of
NO
to prevent inserts. See
Section 14.8, “The MERGE
Storage Engine”.
KEY_BLOCK_SIZE
For compressed
InnoDB
tables, optionally specifies the
size in bytes to use for
pages. The value is treated
as a hint; a different size could be used if necessary. A
value of 0 represents that the default compressed page size.
See Section 14.2.2.7, “InnoDB
Data Compression” for usage details.
Individual index definitions can specify a
KEY_BLOCK_SIZE
value of their own to
override the table value.
Oracle recommends enabling
innodb_strict_mode
when
using the KEY_BLOCK_SIZE
clause for
InnoDB
tables. See
Section 14.2.6.7, “InnoDB
Strict Mode” for
details.
MAX_ROWS
The maximum number of rows you plan to store in the table. This is not a hard limit, but rather a hint to the storage engine that the table must be able to store at least this many rows.
The maximum MAX_ROWS
value is 4294967295;
larger values are truncated to this limit.
MIN_ROWS
The minimum number of rows you plan to store in the table. The
MEMORY
storage engine uses this
option as a hint about memory use.
PACK_KEYS
PACK_KEYS
takes effect only with
MyISAM
tables. Set this option to 1 if you
want to have smaller indexes. This usually makes updates
slower and reads faster. Setting the option to 0 disables all
packing of keys. Setting it to DEFAULT
tells the storage engine to pack only long
CHAR
,
VARCHAR
,
BINARY
, or
VARBINARY
columns.
If you do not use PACK_KEYS
, the default is
to pack strings, but not numbers. If you use
PACK_KEYS=1
, numbers are packed as well.
When packing binary number keys, MySQL uses prefix compression:
Every key needs one extra byte to indicate how many bytes of the previous key are the same for the next key.
The pointer to the row is stored in high-byte-first order directly after the key, to improve compression.
This means that if you have many equal keys on two consecutive
rows, all following “same” keys usually only take
two bytes (including the pointer to the row). Compare this to
the ordinary case where the following keys takes
storage_size_for_key + pointer_size
(where
the pointer size is usually 4). Conversely, you get a
significant benefit from prefix compression only if you have
many numbers that are the same. If all keys are totally
different, you use one byte more per key, if the key is not a
key that can have NULL
values. (In this
case, the packed key length is stored in the same byte that is
used to mark if a key is NULL
.)
PASSWORD
This option is unused. If you have a need to scramble your
.frm
files and make them unusable to any
other MySQL server, please contact our sales department.
RAID_TYPE
RAID
support has been removed as of MySQL
5.0.
ROW_FORMAT
Defines the physical format in which the rows are stored. The choices differ depending on the storage engine used for the table.
For InnoDB
tables:
Rows are stored in compact format
(ROW_FORMAT=COMPACT
) by default.
The noncompact format used in older versions of MySQL can
still be requested by specifying
ROW_FORMAT=REDUNDANT
.
To enable compression for InnoDB
tables, specify ROW_FORMAT=COMPRESSED
and follow the procedures in
Section 14.2.2.7, “InnoDB
Data Compression”.
For more efficient InnoDB
storage of
data types, especially BLOB
types, specify ROW_FORMAT=DYNAMIC
and
follow the procedures in
Section 14.2.2.9.3, “DYNAMIC
and COMPRESSED
Row Formats”. Both the
COMPRESSED
and
DYNAMIC
row formats require creating
the table with the configuration settings
innodb_file_per_table=1
and
innodb_file_format=barracuda
.
When you specify a non-default
ROW_FORMAT
clause, consider also
enabling the
innodb_strict_mode
configuration option. See
Section 14.2.6.7, “InnoDB
Strict Mode” for
details.
For MyISAM
tables, the option value can be
FIXED
or DYNAMIC
for
static or variable-length row format.
myisampack sets the type to
COMPRESSED
. See
Section 14.3.3, “MyISAM
Table Storage Formats”.
When executing a CREATE TABLE
statement, if you specify a row format that is not supported
by the storage engine that is used for the table, the table
is created using that storage engine's default row
format. The information reported in this column in response
to SHOW TABLE STATUS
is the
actual row format used. This may differ from the value in
the Create_options
column because the
original CREATE TABLE
definition is retained during creation.
STATS_AUTO_RECALC
Specifies whether to automatically recalculate
persistent
statistics for an InnoDB
table. The
value DEFAULT
causes the persistent
statistics setting for the table to be determined by the
innodb_stats_auto_recalc
configuration option. The value 1
causes
statistics to be recalculated when 10% of the data in the
table has changed. The value 0
prevents
automatic recalculation for this table; with this setting,
issue an ANALYZE TABLE
statement to recalculate the statistics after making
substantial changes to the table. For more information about
the persistent statistics feature, see
Section 14.2.5.2.9, “Persistent Optimizer Statistics for InnoDB Tables”.
STATS_PERSISTENT
Specifies whether to enable
persistent
statistics for an InnoDB
table. The
value DEFAULT
causes the persistent
statistics setting for the table to be determined by the
innodb_stats_persistent
configuration option. The value 1
enables
persistent statistics for the table, while the value
0
turns off this feature. After enabling
persistent statistics through a CREATE
TABLE
or ALTER TABLE
statement,
issue an ANALYZE TABLE
statement to calculate the statistics, after loading
representative data into the table. For more information about
the persistent statistics feature, see
Section 14.2.5.2.9, “Persistent Optimizer Statistics for InnoDB Tables”.
UNION
is used when you want to
access a collection of identical MyISAM
tables as one. This works only with MERGE
tables. See Section 14.8, “The MERGE
Storage Engine”.
You must have SELECT
,
UPDATE
, and
DELETE
privileges for the
tables you map to a MERGE
table.
Formerly, all tables used had to be in the same database as
the MERGE
table itself. This restriction
no longer applies.
partition_options
can be used to
control partitioning of the table created with
CREATE TABLE
.
Not all options shown in the syntax for
partition_options
at the beginning of
this section are available for all partitioning types. Please
see the listings for the following individual types for
information specific to each type, and see
Chapter 17, Partitioning, for more complete information
about the workings of and uses for partitioning in MySQL, as
well as additional examples of table creation and other
statements relating to MySQL partitioning.
If used, a partition_options
clause
begins with PARTITION BY
. This clause contains
the function that is used to determine the partition; the function
returns an integer value ranging from 1 to
num
, where
num
is the number of partitions. (The
maximum number of user-defined partitions which a table may
contain is 1024; the number of subpartitions—discussed later
in this section—is included in this maximum.) The choices
that are available for this function in MySQL 5.6 are
shown in the following list:
HASH(
:
Hashes one or more columns to create a key for placing and
locating rows. expr
)expr
is an
expression using one or more table columns. This can be any
valid MySQL expression (including MySQL functions) that yields
a single integer value. For example, these are both valid
CREATE TABLE
statements using
PARTITION BY HASH
:
CREATE TABLE t1 (col1 INT, col2 CHAR(5)) PARTITION BY HASH(col1); CREATE TABLE t1 (col1 INT, col2 CHAR(5), col3 DATETIME) PARTITION BY HASH ( YEAR(col3) );
You may not use either VALUES LESS THAN
or
VALUES IN
clauses with PARTITION
BY HASH
.
PARTITION BY HASH
uses the remainder of
expr
divided by the number of
partitions (that is, the modulus). For examples and additional
information, see Section 17.2.4, “HASH
Partitioning”.
The LINEAR
keyword entails a somewhat
different algorithm. In this case, the number of the partition
in which a row is stored is calculated as the result of one or
more logical AND
operations. For
discussion and examples of linear hashing, see
Section 17.2.4.1, “LINEAR HASH
Partitioning”.
KEY(
:
This is similar to column_list
)HASH
, except that MySQL
supplies the hashing function so as to guarantee an even data
distribution. The column_list
argument is simply a list of 1 or more table columns (maximum:
16). This example shows a simple table partitioned by key,
with 4 partitions:
CREATE TABLE tk (col1 INT, col2 CHAR(5), col3 DATE) PARTITION BY KEY(col3) PARTITIONS 4;
For tables that are partitioned by key, you can employ linear
partitioning by using the LINEAR
keyword.
This has the same effect as with tables that are partitioned
by HASH
. That is, the partition number is
found using the
&
operator rather than the modulus (see
Section 17.2.4.1, “LINEAR HASH
Partitioning”, and
Section 17.2.5, “KEY
Partitioning”, for details). This example
uses linear partitioning by key to distribute data between 5
partitions:
CREATE TABLE tk (col1 INT, col2 CHAR(5), col3 DATE) PARTITION BY LINEAR KEY(col3) PARTITIONS 5;
You may not use either VALUES LESS THAN
or
VALUES IN
clauses with PARTITION
BY KEY
.
RANGE(
: In
this case, expr
)expr
shows a range of
values using a set of VALUES LESS THAN
operators. When using range partitioning, you must define at
least one partition using VALUES LESS THAN
.
You cannot use VALUES IN
with range
partitioning.
For tables partitioned by RANGE
,
VALUES LESS THAN
must be used with either
an integer literal value or an expression that evaluates to
a single integer value. In MySQL 5.6, you can
overcome this limitation in a table that is defined using
PARTITION BY RANGE COLUMNS
, as described
later in this section.
Suppose that you have a table that you wish to partition on a column containing year values, according to the following scheme.
Partition Number: | Years Range: |
---|---|
0 | 1990 and earlier |
1 | 1991 to 1994 |
2 | 1995 to 1998 |
3 | 1999 to 2002 |
4 | 2003 to 2005 |
5 | 2006 and later |
A table implementing such a partitioning scheme can be
realized by the CREATE TABLE
statement shown here:
CREATE TABLE t1 ( year_col INT, some_data INT ) PARTITION BY RANGE (year_col) ( PARTITION p0 VALUES LESS THAN (1991), PARTITION p1 VALUES LESS THAN (1995), PARTITION p2 VALUES LESS THAN (1999), PARTITION p3 VALUES LESS THAN (2002), PARTITION p4 VALUES LESS THAN (2006), PARTITION p5 VALUES LESS THAN MAXVALUE );
PARTITION ... VALUES LESS THAN ...
statements work in a consecutive fashion. VALUES LESS
THAN MAXVALUE
works to specify
“leftover” values that are greater than the
maximum value otherwise specified.
Note that VALUES LESS THAN
clauses work
sequentially in a manner similar to that of the
case
portions of a switch ...
case
block (as found in many programming languages
such as C, Java, and PHP). That is, the clauses must be
arranged in such a way that the upper limit specified in each
successive VALUES LESS THAN
is greater than
that of the previous one, with the one referencing
MAXVALUE
coming last of all in the list.
RANGE
COLUMNS(
:
This variant on column_list
)RANGE
facilitates partition
pruning for queries using range conditions on multiple columns
(that is, having conditions such as WHERE a = 1 AND b
< 10
or WHERE a = 1 AND b = 10 AND c
< 10
). It enables you to specify value ranges in
multiple columns by using a list of columns in the
COLUMNS
clause and a set of column values
in each PARTITION ... VALUES LESS THAN
(
partition
definition clause. (In the simplest case, this set consists of
a single column.) The maximum number of columns that can be
referenced in the value_list
)column_list
and
value_list
is 16.
The column_list
used in the
COLUMNS
clause may contain only names of
columns; each column in the list must be one of the following
MySQL data types: the integer types; the string types; and
time or date column types. Columns using
BLOB
, TEXT
,
SET
, ENUM
,
BIT
, or spatial data types are not
permitted; columns that use floating-point number types are
also not permitted. You also may not use functions or
arithmetic expressions in the COLUMNS
clause.
The VALUES LESS THAN
clause used in a
partition definition must specify a literal value for each
column that appears in the COLUMNS()
clause; that is, the list of values used for each
VALUES LESS THAN
clause must contain the
same number of values as there are columns listed in the
COLUMNS
clause. An attempt to use more or
fewer values in a VALUES LESS THAN
clause
than there are in the COLUMNS
clause causes
the statement to fail with the error Inconsistency
in usage of column lists for partitioning.... You
cannot use NULL
for any value appearing in
VALUES LESS THAN
. It is possible to use
MAXVALUE
more than once for a given column
other than the first, as shown in this example:
CREATE TABLE rc ( a INT NOT NULL, b INT NOT NULL ) PARTITION BY RANGE COLUMNS(a,b) ( PARTITION p0 VALUES LESS THAN (10,5), PARTITION p1 VALUES LESS THAN (20,10), PARTITION p2 VALUES LESS THAN (MAXVALUE,15), PARTITION p3 VALUES LESS THAN (MAXVALUE,MAXVALUE) );
Each value used in a VALUES LESS THAN
value
list must match the type of the corresponding column exactly;
no conversion is made. For example, you cannot use the string
'1'
for a value that matches a column that
uses an integer type (you must use the numeral
1
instead), nor can you use the numeral
1
for a value that matches a column that
uses a string type (in such a case, you must use a quoted
string: '1'
).
For more information, see
Section 17.2.1, “RANGE
Partitioning”, and
Section 17.4, “Partition Pruning”.
LIST(
: This
is useful when assigning partitions based on a table column
with a restricted set of possible values, such as a state or
country code. In such a case, all rows pertaining to a certain
state or country can be assigned to a single partition, or a
partition can be reserved for a certain set of states or
countries. It is similar to expr
)RANGE
, except
that only VALUES IN
may be used to specify
permissible values for each partition.
VALUES IN
is used with a list of values to
be matched. For instance, you could create a partitioning
scheme such as the following:
CREATE TABLE client_firms ( id INT, name VARCHAR(35) ) PARTITION BY LIST (id) ( PARTITION r0 VALUES IN (1, 5, 9, 13, 17, 21), PARTITION r1 VALUES IN (2, 6, 10, 14, 18, 22), PARTITION r2 VALUES IN (3, 7, 11, 15, 19, 23), PARTITION r3 VALUES IN (4, 8, 12, 16, 20, 24) );
When using list partitioning, you must define at least one
partition using VALUES IN
. You cannot use
VALUES LESS THAN
with PARTITION BY
LIST
.
For tables partitioned by LIST
, the value
list used with VALUES IN
must consist of
integer values only. In MySQL 5.6, you can
overcome this limitation using partitioning by LIST
COLUMNS
, which is described later in this section.
LIST
COLUMNS(
:
This variant on column_list
)LIST
facilitates partition
pruning for queries using comparison conditions on multiple
columns (that is, having conditions such as WHERE a =
5 AND b = 5
or WHERE a = 1 AND b = 10 AND c
= 5
). It enables you to specify values in multiple
columns by using a list of columns in the
COLUMNS
clause and a set of column values
in each PARTITION ... VALUES IN
(
partition
definition clause.
value_list
)
The rules governing regarding data types for the column list
used in LIST
COLUMNS(
and
the value list used in column_list
)VALUES
IN(
are the
same as those for the column list used in value_list
)RANGE
COLUMNS(
and
the value list used in column_list
)VALUES LESS
THAN(
,
respectively, except that in the value_list
)VALUES IN
clause, MAXVALUE
is not permitted, and you
may use NULL
.
There is one important difference between the list of values
used for VALUES IN
with PARTITION
BY LIST COLUMNS
as opposed to when it is used with
PARTITION BY LIST
. When used with
PARTITION BY LIST COLUMNS
, each element in
the VALUES IN
clause must be a
set of column values; the number of
values in each set must be the same as the number of columns
used in the COLUMNS
clause, and the data
types of these values must match those of the columns (and
occur in the same order). In the simplest case, the set
consists of a single column. The maximum number of columns
that can be used in the column_list
and in the elements making up the
value_list
is 16.
The table defined by the following CREATE
TABLE
statement provides an example of a table using
LIST COLUMNS
partitioning:
CREATE TABLE lc ( a INT NULL, b INT NULL ) PARTITION BY LIST COLUMNS(a,b) ( PARTITION p0 VALUES IN( (0,0), (NULL,NULL) ), PARTITION p1 VALUES IN( (0,1), (0,2), (0,3), (1,1), (1,2) ), PARTITION p2 VALUES IN( (1,0), (2,0), (2,1), (3,0), (3,1) ), PARTITION p3 VALUES IN( (1,3), (2,2), (2,3), (3,2), (3,3) ) );
The number of partitions may optionally be specified with a
PARTITIONS
clause, where num
num
is the number of
partitions. If both this clause and any
PARTITION
clauses are used,
num
must be equal to the total
number of any partitions that are declared using
PARTITION
clauses.
Whether or not you use a PARTITIONS
clause in creating a table that is partitioned by
RANGE
or LIST
, you
must still include at least one PARTITION
VALUES
clause in the table definition (see below).
A partition may optionally be divided into a number of
subpartitions. This can be indicated by using the optional
SUBPARTITION BY
clause. Subpartitioning may
be done by HASH
or KEY
.
Either of these may be LINEAR
. These work
in the same way as previously described for the equivalent
partitioning types. (It is not possible to subpartition by
LIST
or RANGE
.)
The number of subpartitions can be indicated using the
SUBPARTITIONS
keyword followed by an
integer value.
Rigorous checking of the value used in
PARTITIONS
or
SUBPARTITIONS
clauses is applied and this
value must adhere to the following rules:
The value must be a positive, nonzero integer.
No leading zeros are permitted.
The value must be an integer literal, and cannot not be an
expression. For example, PARTITIONS
0.2E+01
is not permitted, even though
0.2E+01
evaluates to
2
. (Bug #15890)
The expression (expr
) used in a
PARTITION BY
clause cannot refer to any
columns not in the table being created; such references are
specifically not permitted and cause the statement to fail with
an error. (Bug #29444)
Each partition may be individually defined using a
partition_definition
clause. The
individual parts making up this clause are as follows:
PARTITION
: This
specifies a logical name for the partition.
partition_name
A VALUES
clause: For range partitioning,
each partition must include a VALUES LESS
THAN
clause; for list partitioning, you must specify
a VALUES IN
clause for each partition. This
is used to determine which rows are to be stored in this
partition. See the discussions of partitioning types in
Chapter 17, Partitioning, for syntax examples.
An optional COMMENT
clause may be used to
specify a string that describes the partition. Example:
COMMENT = 'Data for the years previous to 1999'
Beginning with MySQL 5.6.6, the maximum length for a partition comment is 1024 characters. (Previously, this limit was not explicitly defined.)
DATA DIRECTORY
and INDEX
DIRECTORY
may be used to indicate the directory
where, respectively, the data and indexes for this partition
are to be stored. Both the
and
the data_dir
must be absolute system path names. Example:
index_dir
CREATE TABLE th (id INT, name VARCHAR(30), adate DATE) PARTITION BY LIST(YEAR(adate)) ( PARTITION p1999 VALUES IN (1995, 1999, 2003) DATA DIRECTORY = '/var/appdata/95/data
' INDEX DIRECTORY = '/var/appdata/95/idx
', PARTITION p2000 VALUES IN (1996, 2000, 2004) DATA DIRECTORY = '/var/appdata/96/data
' INDEX DIRECTORY = '/var/appdata/96/idx
', PARTITION p2001 VALUES IN (1997, 2001, 2005) DATA DIRECTORY = '/var/appdata/97/data
' INDEX DIRECTORY = '/var/appdata/97/idx
', PARTITION p2002 VALUES IN (1998, 2002, 2006) DATA DIRECTORY = '/var/appdata/98/data
' INDEX DIRECTORY = '/var/appdata/98/idx
' );
DATA DIRECTORY
and INDEX
DIRECTORY
behave in the same way as in the
CREATE TABLE
statement's
table_option
clause as used for
MyISAM
tables.
One data directory and one index directory may be specified per partition. If left unspecified, the data and indexes are stored by default in the table's database directory.
On Windows, the DATA DIRECTORY
and
INDEX DIRECTORY
options are not supported
for individual partitions or subpartitions of
MyISAM
tables, and the
INDEX DIRECTORY
option is not supported for
individual partitions or subpartitions of
InnoDB
tables. These options are
ignored on Windows, except that a warning is generated. (Bug
#30459)
The DATA DIRECTORY
and INDEX
DIRECTORY
options are ignored for creating
partitioned tables if
NO_DIR_IN_CREATE
is in
effect. (Bug #24633)
MAX_ROWS
and MIN_ROWS
may be used to specify, respectively, the maximum and minimum
number of rows to be stored in the partition. The values for
max_number_of_rows
and
min_number_of_rows
must be positive
integers. As with the table-level options with the same names,
these act only as “suggestions” to the server and
are not hard limits.
The partitioning handler accepts a [STORAGE]
ENGINE
option for both PARTITION
and SUBPARTITION
. Currently, the only way
in which this can be used is to set all partitions or all
subpartitions to the same storage engine, and an attempt to
set different storage engines for partitions or subpartitions
in the same table will give rise to the error ERROR
1469 (HY000): The mix of handlers in the partitions is not
permitted in this version of MySQL. We expect to
lift this restriction on partitioning in a future MySQL
release.
The partition definition may optionally contain one or more
subpartition_definition
clauses.
Each of these consists at a minimum of the
SUBPARTITION
, where
name
name
is an identifier for the
subpartition. Except for the replacement of the
PARTITION
keyword with
SUBPARTITION
, the syntax for a subpartition
definition is identical to that for a partition definition.
Subpartitioning must be done by HASH
or
KEY
, and can be done only on
RANGE
or LIST
partitions. See Section 17.2.6, “Subpartitioning”.
Partitions can be modified, merged, added to tables, and dropped
from tables. For basic information about the MySQL statements to
accomplish these tasks, see Section 13.1.6, “ALTER TABLE
Syntax”. For
more detailed descriptions and examples, see
Section 17.3, “Partition Management”.
The original CREATE TABLE
statement, including all specifications and table options are
stored by MySQL when the table is created. The information is
retained so that if you change storage engines, collations or
other settings using an ALTER
TABLE
statement, the original table options specified
are retained. This enables you to change between
InnoDB
and
MyISAM
table types even though the
row formats supported by the two engines are different.
Because the text of the original statement is retained, but due
to the way that certain values and options may be silently
reconfigured (such as the ROW_FORMAT
), the
active table definition (accessible through
DESCRIBE
or with
SHOW TABLE STATUS
) and the table
creation string (accessible through SHOW
CREATE TABLE
) will report different values.
You can create one table from another by adding a
SELECT
statement at the end of the
CREATE TABLE
statement:
CREATE TABLEnew_tbl
SELECT * FROMorig_tbl
;
For more information, see Section 13.1.14.1, “CREATE TABLE ...
SELECT
Syntax”.
Use LIKE
to create an empty table based on the
definition of another table, including any column attributes and
indexes defined in the original table:
CREATE TABLEnew_tbl
LIKEorig_tbl
;
The copy is created using the same version of the table storage
format as the original table. The
SELECT
privilege is required on the
original table.
LIKE
works only for base tables, not for views.
Beginning with MySQL 5.6.1, you cannot execute CREATE
TABLE
or CREATE TABLE ... LIKE
while a LOCK TABLES
statement is
in effect.
Also as of MySQL 5.6.1,
CREATE TABLE ...
LIKE
makes the same checks as
CREATE TABLE
and does not just
copy the .frm
file. This means that if the
current SQL mode is different from the mode in effect when the
original table was created, the table definition might be
considered invalid for the new mode and the statement will fail.
CREATE TABLE ... LIKE
does not preserve any
DATA DIRECTORY
or INDEX
DIRECTORY
table options that were specified for the
original table, or any foreign key definitions.
If the original table is a TEMPORARY
table,
CREATE TABLE ... LIKE
does not preserve
TEMPORARY
. To create a
TEMPORARY
destination table, use
CREATE TEMPORARY TABLE ... LIKE
.
You can create one table from another by adding a
SELECT
statement at the end of
the CREATE TABLE
statement:
CREATE TABLEnew_tbl
SELECT * FROMorig_tbl
;
MySQL creates new columns for all elements in the
SELECT
. For example:
mysql>CREATE TABLE test (a INT NOT NULL AUTO_INCREMENT,
->PRIMARY KEY (a), KEY(b))
->ENGINE=MyISAM SELECT b,c FROM test2;
This creates a MyISAM
table with
three columns, a
, b
, and
c
. The ENGINE
option is
part of the CREATE TABLE
statement, and should not be used following the
SELECT
; this would result in a
syntax error. The same is true for other
CREATE TABLE
options such as
CHARSET
.
Notice that the columns from the
SELECT
statement are appended to
the right side of the table, not overlapped onto it. Take the
following example:
mysql>SELECT * FROM foo;
+---+ | n | +---+ | 1 | +---+ mysql>CREATE TABLE bar (m INT) SELECT n FROM foo;
Query OK, 1 row affected (0.02 sec) Records: 1 Duplicates: 0 Warnings: 0 mysql>SELECT * FROM bar;
+------+---+ | m | n | +------+---+ | NULL | 1 | +------+---+ 1 row in set (0.00 sec)
For each row in table foo
, a row is inserted
in bar
with the values from
foo
and default values for the new columns.
In a table resulting from
CREATE TABLE ...
SELECT
, columns named only in the
CREATE TABLE
part come first.
Columns named in both parts or only in the
SELECT
part come after that. The
data type of SELECT
columns can
be overridden by also specifying the column in the
CREATE TABLE
part.
If any errors occur while copying the data to the table, it is automatically dropped and not created.
You can precede the SELECT
by
IGNORE
or
REPLACE
to indicate how to handle
rows that duplicate unique key values. With
IGNORE
, new rows that duplicate an existing
row on a unique key value are discarded. With
REPLACE
, new rows replace rows
that have the same unique key value. If neither
IGNORE
nor
REPLACE
is specified, duplicate
unique key values result in an error.
Because the ordering of the rows in the underlying
SELECT
statements cannot always
be determined, CREATE TABLE ... IGNORE SELECT
and CREATE TABLE ... REPLACE SELECT
statements in MySQL 5.6.4 and later are flagged as unsafe for
statement-based replication. With this change, such statements
produce a warning in the log when using statement-based mode and
are logged using the row-based format when using
MIXED
mode. See also
Section 16.1.2.1, “Advantages and Disadvantages of Statement-Based and Row-Based
Replication”.
CREATE TABLE ...
SELECT
does not automatically create any indexes for
you. This is done intentionally to make the statement as
flexible as possible. If you want to have indexes in the created
table, you should specify these before the
SELECT
statement:
mysql> CREATE TABLE bar (UNIQUE (n)) SELECT n FROM foo;
Some conversion of data types might occur. For example, the
AUTO_INCREMENT
attribute is not preserved,
and VARCHAR
columns can become
CHAR
columns. Retrained
attributes are NULL
(or NOT
NULL
) and, for those columns that have them,
CHARACTER SET
, COLLATION
,
COMMENT
, and the DEFAULT
clause.
When creating a table with
CREATE
TABLE ... SELECT
, make sure to alias any function
calls or expressions in the query. If you do not, the
CREATE
statement might fail or result in
undesirable column names.
CREATE TABLE artists_and_works SELECT artist.name, COUNT(work.artist_id) AS number_of_works FROM artist LEFT JOIN work ON artist.id = work.artist_id GROUP BY artist.id;
You can also explicitly specify the data type for a generated column:
CREATE TABLE foo (a TINYINT NOT NULL) SELECT b+1 AS a FROM bar;
For CREATE TABLE
... SELECT
, if IF NOT EXISTS
is
given and the destination table already exists, the result is
version dependent. Before MySQL 5.5.6, MySQL handles the
statement as follows:
The table definition given in the
CREATE TABLE
part is ignored.
No error occurs, even if the definition does not match that
of the existing table. MySQL attempts to insert the rows
from the SELECT
part anyway.
If there is a mismatch between the number of columns in the
table and the number of columns produced by the
SELECT
part, the selected
values are assigned to the rightmost columns. For example,
if the table contains n
columns
and the SELECT
produces
m
columns, where
m
<
n
, the selected values are
assigned to the m
rightmost
columns in the table. Each of the initial
n
–
m
columns is assigned its default
value, either that specified explicitly in the column
definition or the implicit column data type default if the
definition contains no default. If the
SELECT
part produces too many
columns (m
>
n
), an error occurs.
If strict SQL mode is enabled and any of these initial columns do not have an explicit default value, the statement fails with an error.
The following example illustrates IF NOT
EXISTS
handling:
mysql>CREATE TABLE t1 (i1 INT DEFAULT 0, i2 INT, i3 INT, i4 INT);
Query OK, 0 rows affected (0.05 sec) mysql>CREATE TABLE IF NOT EXISTS t1 (c1 CHAR(10)) SELECT 1, 2;
Query OK, 1 row affected, 1 warning (0.01 sec) Records: 1 Duplicates: 0 Warnings: 0 mysql>SELECT * FROM t1;
+------+------+------+------+ | i1 | i2 | i3 | i4 | +------+------+------+------+ | 0 | NULL | 1 | 2 | +------+------+------+------+ 1 row in set (0.00 sec)
As of MySQL 5.5.6, handling of
CREATE
TABLE IF NOT EXISTS ... SELECT
statements was changed
for the case that the destination table already exists. This
change also involves a change in MySQL 5.1 beginning with
5.1.51.
Previously, for
CREATE
TABLE IF NOT EXISTS ... SELECT
, MySQL produced a
warning that the table exists, but inserted the rows and
wrote the statement to the binary log anyway. By contrast,
CREATE
TABLE ... SELECT
(without IF NOT
EXISTS
) failed with an error, but MySQL inserted
no rows and did not write the statement to the binary log.
MySQL now handles both statements the same way when the
destination table exists, in that neither statement inserts
rows or is written to the binary log. The difference between
them is that MySQL produces a warning when IF NOT
EXISTS
is present and an error when it is not.
This change means that, for the preceding example, the
CREATE
TABLE IF NOT EXISTS ... SELECT
statement inserts
nothing into the destination table as of MySQL 5.5.6.
This change in handling of IF NOT EXISTS
results in an incompatibility for statement-based replication
from a MySQL 5.1 master with the original behavior and a MySQL
5.5 slave with the new behavior. Suppose that
CREATE
TABLE IF NOT EXISTS ... SELECT
is executed on the
master and the destination table exists. The result is that rows
are inserted on the master but not on the slave. (Row-based
replication does not have this problem.)
To address this issue, statement-based binary logging for
CREATE
TABLE IF NOT EXISTS ... SELECT
is changed in MySQL 5.1
as of 5.1.51:
If the destination table does not exist, there is no change: The statement is logged as is.
If the destination table does exist, the statement is logged
as the equivalent pair of
CREATE
TABLE IF NOT EXISTS
and
INSERT ...
SELECT
statements. (If the
SELECT
in the original
statement is preceded by IGNORE
or
REPLACE
, the
INSERT
becomes
INSERT
IGNORE
or REPLACE
,
respectively.)
This change provides forward compatibility for statement-based replication from MySQL 5.1 to 5.5 because when the destination table exists, the rows will be inserted on both the master and slave. To take advantage of this compatibility measure, the 5.1 server must be at least 5.1.51 and the 5.5 server must be at least 5.5.6.
To upgrade an existing 5.1-to-5.5 replication scenario, upgrade the master first to 5.1.51 or higher. Note that this differs from the usual replication upgrade advice of upgrading the slave first.
A workaround for applications that wish to achieve the original
effect (rows inserted regardless of whether the destination
table exists) is to use
CREATE
TABLE IF NOT EXISTS
and
INSERT ...
SELECT
statements rather than
CREATE
TABLE IF NOT EXISTS ... SELECT
statements.
Along with the change just described, the following related
change was made: Previously, if an existing view was named as
the destination table for
CREATE
TABLE IF NOT EXISTS ... SELECT
, rows were inserted
into the underlying base table and the statement was written to
the binary log. As of MySQL 5.1.51 and 5.5.6, nothing is
inserted or logged.
To ensure that the binary log can be used to re-create the
original tables, MySQL does not permit concurrent inserts during
CREATE TABLE ...
SELECT
.
You cannot use FOR UPDATE
as part of the
SELECT
in a statement such as
CREATE
TABLE
. If you
attempt to do so, the statement fails. This represents a
change in behavior from MySQL 5.5 and earlier, which permitted
new_table
SELECT ... FROM
old_table
...CREATE
TABLE ... SELECT
statements to make changes in
tables other than the table being created.
This change can also have implications for statement-based
replication from an older master to a MySQL 5.6 or newer
slave. See
Section 16.4.1.4, “Replication of
CREATE
TABLE ... SELECT
Statements”, for more
information.
In some cases, MySQL silently changes column specifications from
those given in a CREATE TABLE
or
ALTER TABLE
statement. These
might be changes to a data type, to attributes associated with a
data type, or to an index specification.
All changes are subject to the internal row-size limit of 65,535 bytes, which may cause some attempts at data type changes to fail. See Section E.10.4, “Table Column-Count and Row-Size Limits”.
Columns that are part of a PRIMARY KEY
are made NOT NULL
even if not declared
that way.
Trailing spaces are automatically deleted from
ENUM
and
SET
member values when the
table is created.
MySQL maps certain data types used by other SQL database vendors to MySQL types. See Section 11.8, “Using Data Types from Other Database Engines”.
If you include a USING
clause to specify
an index type that is not permitted for a given storage
engine, but there is another index type available that the
engine can use without affecting query results, the engine
uses the available type.
If strict SQL mode is not enabled, a
VARCHAR
column with a length
specification greater than 65535 is converted to
TEXT
, and a
VARBINARY
column with a
length specification greater than 65535 is converted to
BLOB
. Otherwise, an error
occurs in either of these cases.
Specifying the CHARACTER SET binary
attribute for a character data type causes the column to be
created as the corresponding binary data type:
CHAR
becomes
BINARY
,
VARCHAR
becomes
VARBINARY
, and
TEXT
becomes
BLOB
. For the
ENUM
and
SET
data types, this does not
occur; they are created as declared. Suppose that you
specify a table using this definition:
CREATE TABLE t ( c1 VARCHAR(10) CHARACTER SET binary, c2 TEXT CHARACTER SET binary, c3 ENUM('a','b','c') CHARACTER SET binary );
The resulting table has this definition:
CREATE TABLE t ( c1 VARBINARY(10), c2 BLOB, c3 ENUM('a','b','c') CHARACTER SET binary );
To see whether MySQL used a data type other than the one you
specified, issue a DESCRIBE
or
SHOW CREATE TABLE
statement after
creating or altering the table.
Certain other data type changes can occur if you compress a table using myisampack. See Section 14.3.3.3, “Compressed Table Characteristics”.
CREATE [DEFINER = {user
| CURRENT_USER }] TRIGGERtrigger_name
trigger_time
trigger_event
ONtbl_name
FOR EACH ROWtrigger_body
This statement creates a new trigger. A trigger is a named
database object that is associated with a table, and that
activates when a particular event occurs for the table. The
trigger becomes associated with the table named
tbl_name
, which must refer to a
permanent table. You cannot associate a trigger with a
TEMPORARY
table or a view.
CREATE TRIGGER
requires the
TRIGGER
privilege for the table
associated with the trigger. The statement might also require the
SUPER
privilege, depending on the
DEFINER
value, as described later in this
section. If binary logging is enabled, CREATE
TRIGGER
might require the
SUPER
privilege, as described in
Section 18.7, “Binary Logging of Stored Programs”.
The DEFINER
clause determines the security
context to be used when checking access privileges at trigger
activation time. See later in this section for more information.
trigger_time
is the trigger action
time. It can be BEFORE
or
AFTER
to indicate that the trigger activates
before or after each row to be modified.
trigger_event
indicates the kind of
statement that activates the trigger. The
trigger_event
can be one of the
following:
INSERT
: The trigger is
activated whenever a new row is inserted into the table; for
example, through INSERT
,
LOAD DATA
, and
REPLACE
statements.
UPDATE
: The trigger is
activated whenever a row is modified; for example, through
UPDATE
statements.
DELETE
: The trigger is
activated whenever a row is deleted from the table; for
example, through DELETE
and
REPLACE
statements. However,
DROP TABLE
and
TRUNCATE TABLE
statements on
the table do not activate this trigger,
because they do not use DELETE
.
Dropping a partition does not activate
DELETE
triggers, either. See
Section 13.1.27, “TRUNCATE TABLE
Syntax”.
It is important to understand that the
trigger_event
does not represent a
literal type of SQL statement that activates the trigger so much
as it represents a type of table operation. For example, an
INSERT
trigger is activated by not
only INSERT
statements but also
LOAD DATA
statements because both
statements insert rows into a table.
A potentially confusing example of this is the INSERT
INTO ... ON DUPLICATE KEY UPDATE ...
syntax: a
BEFORE INSERT
trigger will activate for every
row, followed by either an AFTER INSERT
trigger
or both the BEFORE UPDATE
and AFTER
UPDATE
triggers, depending on whether there was a
duplicate key for the row.
There cannot be two triggers for a given table that have the same
trigger action time and event. For example, you cannot have two
BEFORE UPDATE
triggers for a table. But you can
have a BEFORE UPDATE
and a BEFORE
INSERT
trigger, or a BEFORE UPDATE
and an AFTER UPDATE
trigger.
trigger_body
is the statement to
execute when the trigger activates. If you want to execute
multiple statements, use the
BEGIN ... END
compound statement construct. This also enables you to use the
same statements that are permissible within stored routines. See
Section 13.6.1, “BEGIN ... END
Compound-Statement Syntax”. Some statements are not permitted in
triggers; see Section E.1, “Restrictions on Stored Programs”.
You can refer to columns in the subject table (the table
associated with the trigger) by using the aliases
OLD
and NEW
.
OLD.
refers
to a column of an existing row before it is updated or deleted.
col_name
NEW.
refers
to the column of a new row to be inserted or an existing row after
it is updated.
col_name
MySQL stores the sql_mode
system
variable setting that is in effect at the time a trigger is
created, and always executes the trigger with this setting in
force, regardless of the server SQL mode in effect when
the event begins executing.
Currently, cascaded foreign key actions do not activate triggers.
The DEFINER
clause specifies the MySQL account
to be used when checking access privileges at trigger activation
time. If a user
value is given, it
should be a MySQL account specified as
'
(the same format used in the user_name
'@'host_name
'GRANT
statement), CURRENT_USER
, or
CURRENT_USER()
. The default
DEFINER
value is the user who executes the
CREATE TRIGGER
statement. This is
the same as specifying DEFINER = CURRENT_USER
explicitly.
If you specify the DEFINER
clause, these rules
determine the valid DEFINER
user values:
If you do not have the SUPER
privilege, the only permitted user
value is your own account, either specified literally or by
using CURRENT_USER
. You cannot
set the definer to some other account.
If you have the SUPER
privilege, you can specify any syntactically valid account
name. If the account does not actually exist, a warning is
generated.
Although it is possible to create a trigger with a nonexistent
DEFINER
account, it is not a good idea for
such triggers to be activated until the account actually does
exist. Otherwise, the behavior with respect to privilege
checking is undefined.
MySQL takes the DEFINER
user into account when
checking trigger privileges as follows:
At CREATE TRIGGER
time, the
user who issues the statement must have the
TRIGGER
privilege.
At trigger activation time, privileges are checked against the
DEFINER
user. This user must have these
privileges:
The TRIGGER
privilege.
The SELECT
privilege for
the subject table if references to table columns occur
using
OLD.
or
col_name
NEW.
in the trigger definition.
col_name
The UPDATE
privilege for
the subject table if table columns are targets of
SET NEW.
assignments in
the trigger definition.
col_name
=
value
Whatever other privileges normally are required for the statements executed by the trigger.
For more information about trigger security, see Section 18.6, “Access Control for Stored Programs and Views”.
Within a trigger, the
CURRENT_USER()
function returns the
account used to check privileges at trigger activation time. This
is the DEFINER
user, not the user whose actions
caused the trigger to be activated. For information about user
auditing within triggers, see
Section 6.3.10, “SQL-Based MySQL Account Activity Auditing”.
If you use LOCK TABLES
to lock a
table that has triggers, the tables used within the trigger are
also locked, as described in
Section 13.3.5.2, “LOCK TABLES
and Triggers”.
In MySQL 5.6, you can write triggers containing
direct references to tables by name, such as the trigger named
testref
shown in this example:
CREATE TABLE test1(a1 INT); CREATE TABLE test2(a2 INT); CREATE TABLE test3(a3 INT NOT NULL AUTO_INCREMENT PRIMARY KEY); CREATE TABLE test4( a4 INT NOT NULL AUTO_INCREMENT PRIMARY KEY, b4 INT DEFAULT 0 ); delimiter | CREATE TRIGGER testref BEFORE INSERT ON test1 FOR EACH ROW BEGIN INSERT INTO test2 SET a2 = NEW.a1; DELETE FROM test3 WHERE a3 = NEW.a1; UPDATE test4 SET b4 = b4 + 1 WHERE a4 = NEW.a1; END; | delimiter ; INSERT INTO test3 (a3) VALUES (NULL), (NULL), (NULL), (NULL), (NULL), (NULL), (NULL), (NULL), (NULL), (NULL); INSERT INTO test4 (a4) VALUES (0), (0), (0), (0), (0), (0), (0), (0), (0), (0);
Suppose that you insert the following values into table
test1
as shown here:
mysql>INSERT INTO test1 VALUES
->(1), (3), (1), (7), (1), (8), (4), (4);
Query OK, 8 rows affected (0.01 sec) Records: 8 Duplicates: 0 Warnings: 0
As a result, the data in the four tables will be as follows:
mysql>SELECT * FROM test1;
+------+ | a1 | +------+ | 1 | | 3 | | 1 | | 7 | | 1 | | 8 | | 4 | | 4 | +------+ 8 rows in set (0.00 sec) mysql>SELECT * FROM test2;
+------+ | a2 | +------+ | 1 | | 3 | | 1 | | 7 | | 1 | | 8 | | 4 | | 4 | +------+ 8 rows in set (0.00 sec) mysql>SELECT * FROM test3;
+----+ | a3 | +----+ | 2 | | 5 | | 6 | | 9 | | 10 | +----+ 5 rows in set (0.00 sec) mysql>SELECT * FROM test4;
+----+------+ | a4 | b4 | +----+------+ | 1 | 3 | | 2 | 0 | | 3 | 1 | | 4 | 2 | | 5 | 0 | | 6 | 0 | | 7 | 1 | | 8 | 1 | | 9 | 0 | | 10 | 0 | +----+------+ 10 rows in set (0.00 sec)
CREATE [OR REPLACE] [ALGORITHM = {UNDEFINED | MERGE | TEMPTABLE}] [DEFINER = {user
| CURRENT_USER }] [SQL SECURITY { DEFINER | INVOKER }] VIEWview_name
[(column_list
)] ASselect_statement
[WITH [CASCADED | LOCAL] CHECK OPTION]
The CREATE VIEW
statement creates a
new view, or replaces an existing one if the OR
REPLACE
clause is given. If the view does not exist,
CREATE OR REPLACE
VIEW
is the same as CREATE
VIEW
. If the view does exist,
CREATE OR REPLACE
VIEW
is the same as ALTER
VIEW
.
The select_statement
is a
SELECT
statement that provides the
definition of the view. (When you select from the view, you select
in effect using the SELECT
statement.) select_statement
can select
from base tables or other views.
The view definition is “frozen” at creation time, so
changes to the underlying tables afterward do not affect the view
definition. For example, if a view is defined as SELECT
*
on a table, new columns added to the table later do
not become part of the view.
The ALGORITHM
clause affects how MySQL
processes the view. The DEFINER
and
SQL SECURITY
clauses specify the security
context to be used when checking access privileges at view
invocation time. The WITH CHECK OPTION
clause
can be given to constrain inserts or updates to rows in tables
referenced by the view. These clauses are described later in this
section.
The CREATE VIEW
statement requires
the CREATE VIEW
privilege for the
view, and some privilege for each column selected by the
SELECT
statement. For columns used
elsewhere in the SELECT
statement
you must have the SELECT
privilege.
If the OR REPLACE
clause is present, you must
also have the DROP
privilege for
the view. CREATE VIEW
might also
require the SUPER
privilege,
depending on the DEFINER
value, as described
later in this section.
When a view is referenced, privilege checking occurs as described later in this section.
A view belongs to a database. By default, a new view is created in
the default database. To create the view explicitly in a given
database, specify the name as
db_name.view_name
when you create it:
mysql> CREATE VIEW test.v AS SELECT * FROM t;
Within a database, base tables and views share the same namespace, so a base table and a view cannot have the same name.
Columns retrieved by the SELECT
statement can be simple references to table columns. They can also
be expressions that use functions, constant values, operators, and
so forth.
Views must have unique column names with no duplicates, just like
base tables. By default, the names of the columns retrieved by the
SELECT
statement are used for the
view column names. To define explicit names for the view columns,
the optional column_list
clause can be
given as a list of comma-separated identifiers. The number of
names in column_list
must be the same
as the number of columns retrieved by the
SELECT
statement.
Unqualified table or view names in the
SELECT
statement are interpreted
with respect to the default database. A view can refer to tables
or views in other databases by qualifying the table or view name
with the proper database name.
A view can be created from many kinds of
SELECT
statements. It can refer to
base tables or other views. It can use joins,
UNION
, and subqueries. The
SELECT
need not even refer to any
tables. The following example defines a view that selects two
columns from another table, as well as an expression calculated
from those columns:
mysql>CREATE TABLE t (qty INT, price INT);
mysql>INSERT INTO t VALUES(3, 50);
mysql>CREATE VIEW v AS SELECT qty, price, qty*price AS value FROM t;
mysql>SELECT * FROM v;
+------+-------+-------+ | qty | price | value | +------+-------+-------+ | 3 | 50 | 150 | +------+-------+-------+
A view definition is subject to the following restrictions:
The SELECT
statement cannot
contain a subquery in the FROM
clause.
The SELECT
statement cannot
refer to system or user variables.
Within a stored program, the definition cannot refer to program parameters or local variables.
The SELECT
statement cannot
refer to prepared statement parameters.
Any table or view referred to in the definition must exist.
However, after a view has been created, it is possible to drop
a table or view that the definition refers to. In this case,
use of the view results in an error. To check a view
definition for problems of this kind, use the
CHECK TABLE
statement.
The definition cannot refer to a TEMPORARY
table, and you cannot create a TEMPORARY
view.
Any tables named in the view definition must exist at definition time.
You cannot associate a trigger with a view.
Aliases for column names in the
SELECT
statement are checked
against the maximum column length of 64 characters (not the
maximum alias length of 256 characters).
ORDER BY
is permitted in a view definition, but
it is ignored if you select from a view using a statement that has
its own ORDER BY
.
For other options or clauses in the definition, they are added to
the options or clauses of the statement that references the view,
but the effect is undefined. For example, if a view definition
includes a LIMIT
clause, and you select from
the view using a statement that has its own
LIMIT
clause, it is undefined which limit
applies. This same principle applies to options such as
ALL
, DISTINCT
, or
SQL_SMALL_RESULT
that follow the
SELECT
keyword, and to clauses such
as INTO
, FOR UPDATE
,
LOCK IN SHARE MODE
, and
PROCEDURE
.
If you create a view and then change the query processing environment by changing system variables, that may affect the results that you get from the view:
mysql>CREATE VIEW v (mycol) AS SELECT 'abc';
Query OK, 0 rows affected (0.01 sec) mysql>SET sql_mode = '';
Query OK, 0 rows affected (0.00 sec) mysql>SELECT "mycol" FROM v;
+-------+ | mycol | +-------+ | mycol | +-------+ 1 row in set (0.01 sec) mysql>SET sql_mode = 'ANSI_QUOTES';
Query OK, 0 rows affected (0.00 sec) mysql>SELECT "mycol" FROM v;
+-------+ | mycol | +-------+ | abc | +-------+ 1 row in set (0.00 sec)
The DEFINER
and SQL SECURITY
clauses determine which MySQL account to use when checking access
privileges for the view when a statement is executed that
references the view. The valid SQL SECURITY
characteristic values are DEFINER
and
INVOKER
. These indicate that the required
privileges must be held by the user who defined or invoked the
view, respectively. The default SQL SECURITY
value is DEFINER
.
If a user
value is given for the
DEFINER
clause, it should be a MySQL account
specified as
'
(the same format used in the user_name
'@'host_name
'GRANT
statement), CURRENT_USER
, or
CURRENT_USER()
. The default
DEFINER
value is the user who executes the
CREATE VIEW
statement. This is the
same as specifying DEFINER = CURRENT_USER
explicitly.
If you specify the DEFINER
clause, these rules
determine the valid DEFINER
user values:
If you do not have the SUPER
privilege, the only valid user
value is your own account, either specified literally or by
using CURRENT_USER
. You cannot
set the definer to some other account.
If you have the SUPER
privilege, you can specify any syntactically valid account
name. If the account does not actually exist, a warning is
generated.
Although it is possible to create a view with a nonexistent
DEFINER
account, an error occurs when the
view is referenced if the SQL SECURITY
value is DEFINER
but the definer account
does not exist.
For more information about view security, see Section 18.6, “Access Control for Stored Programs and Views”.
Within a view definition,
CURRENT_USER
returns the view's
DEFINER
value by default. For views defined
with the SQL SECURITY INVOKER
characteristic,
CURRENT_USER
returns the account
for the view's invoker. For information about user auditing within
views, see Section 6.3.10, “SQL-Based MySQL Account Activity Auditing”.
Within a stored routine that is defined with the SQL
SECURITY DEFINER
characteristic,
CURRENT_USER
returns the routine's
DEFINER
value. This also affects a view defined
within such a routine, if the view definition contains a
DEFINER
value of
CURRENT_USER
.
View privileges are checked like this:
At view definition time, the view creator must have the
privileges needed to use the top-level objects accessed by the
view. For example, if the view definition refers to table
columns, the creator must have some privilege for each column
in the select list of the definition, and the
SELECT
privilege for each
column used elsewhere in the definition. If the definition
refers to a stored function, only the privileges needed to
invoke the function can be checked. The privileges required at
function invocation time can be checked only as it executes:
For different invocations, different execution paths within
the function might be taken.
The user who references a view must have appropriate
privileges to access it (SELECT
to select from it, INSERT
to
insert into it, and so forth.)
When a view has been referenced, privileges for objects
accessed by the view are checked against the privileges held
by the view DEFINER
account or invoker,
depending on whether the SQL SECURITY
characteristic is DEFINER
or
INVOKER
, respectively.
If reference to a view causes execution of a stored function,
privilege checking for statements executed within the function
depend on whether the function SQL SECURITY
characteristic is DEFINER
or
INVOKER
. If the security characteristic is
DEFINER
, the function runs with the
privileges of the DEFINER
account. If the
characteristic is INVOKER
, the function
runs with the privileges determined by the view's SQL
SECURITY
characteristic.
Example: A view might depend on a stored function, and that
function might invoke other stored routines. For example, the
following view invokes a stored function f()
:
CREATE VIEW v AS SELECT * FROM t WHERE t.id = f(t.name);
Suppose that f()
contains a statement such as
this:
IF name IS NULL then CALL p1(); ELSE CALL p2(); END IF;
The privileges required for executing statements within
f()
need to be checked when
f()
executes. This might mean that privileges
are needed for p1()
or p2()
,
depending on the execution path within f()
.
Those privileges must be checked at runtime, and the user who must
possess the privileges is determined by the SQL
SECURITY
values of the view v
and the
function f()
.
The DEFINER
and SQL SECURITY
clauses for views are extensions to standard SQL. In standard SQL,
views are handled using the rules for SQL SECURITY
DEFINER
. The standard says that the definer of the view,
which is the same as the owner of the view's schema, gets
applicable privileges on the view (for example,
SELECT
) and may grant them. MySQL
has no concept of a schema “owner”, so MySQL adds a
clause to identify the definer. The DEFINER
clause is an extension where the intent is to have what the
standard has; that is, a permanent record of who defined the view.
This is why the default DEFINER
value is the
account of the view creator.
The optional ALGORITHM
clause is a MySQL
extension to standard SQL. It affects how MySQL processes the
view. ALGORITHM
takes three values:
MERGE
, TEMPTABLE
, or
UNDEFINED
. The default algorithm is
UNDEFINED
if no ALGORITHM
clause is present. For more information, see
Section 18.5.2, “View Processing Algorithms”.
Some views are updatable. That is, you can use them in statements
such as UPDATE
,
DELETE
, or
INSERT
to update the contents of
the underlying table. For a view to be updatable, there must be a
one-to-one relationship between the rows in the view and the rows
in the underlying table. There are also certain other constructs
that make a view nonupdatable.
The WITH CHECK OPTION
clause can be given for
an updatable view to prevent inserts or updates to rows except
those for which the WHERE
clause in the
select_statement
is true.
In a WITH CHECK OPTION
clause for an updatable
view, the LOCAL
and CASCADED
keywords determine the scope of check testing when the view is
defined in terms of another view. The LOCAL
keyword restricts the CHECK OPTION
only to the
view being defined. CASCADED
causes the checks
for underlying views to be evaluated as well. When neither keyword
is given, the default is CASCADED
.
For more information about updatable views and the WITH
CHECK OPTION
clause, see
Section 18.5.3, “Updatable and Insertable Views”.
DROP {DATABASE | SCHEMA} [IF EXISTS] db_name
DROP DATABASE
drops all tables in
the database and deletes the database. Be
very careful with this statement! To use
DROP DATABASE
, you need the
DROP
privilege on the database.
DROP
SCHEMA
is a synonym for DROP
DATABASE
.
When a database is dropped, user privileges on the database are
not automatically dropped. See
Section 13.7.1.4, “GRANT
Syntax”.
IF EXISTS
is used to prevent an error from
occurring if the database does not exist.
If the default database is dropped, the default database is unset
(the DATABASE()
function returns
NULL
).
If you use DROP DATABASE
on a
symbolically linked database, both the link and the original
database are deleted.
DROP DATABASE
returns the number of
tables that were removed. This corresponds to the number of
.frm
files removed.
The DROP DATABASE
statement removes
from the given database directory those files and directories that
MySQL itself may create during normal operation:
All files with the following extensions.
.BAK | .DAT | .HSH | .MRG |
.MYD | .MYI | .TRG | .TRN |
.db | .frm | .ibd | .ndb |
.par |
The db.opt
file, if it exists.
If other files or directories remain in the database directory
after MySQL removes those just listed, the database directory
cannot be removed. In this case, you must remove any remaining
files or directories manually and issue the
DROP DATABASE
statement again.
You can also drop databases with mysqladmin. See Section 4.5.2, “mysqladmin — Client for Administering a MySQL Server”.
DROP EVENT [IF EXISTS] event_name
This statement drops the event named
event_name
. The event immediately
ceases being active, and is deleted completely from the server.
If the event does not exist, the error ERROR 1517
(HY000): Unknown event
'event_name
' results. You
can override this and cause the statement to generate a warning
for nonexistent events instead using IF EXISTS
.
This statement requires the EVENT
privilege for the schema to which the event to be dropped belongs.
The DROP FUNCTION
statement is used
to drop stored functions and user-defined functions (UDFs):
For information about dropping stored functions, see
Section 13.1.21, “DROP PROCEDURE
and
DROP FUNCTION
Syntax”.
For information about dropping user-defined functions, see
Section 13.7.3.2, “DROP FUNCTION
Syntax”.
DROP INDEXindex_name
ONtbl_name
[algorithm_option
|lock_option
] ...algorithm_option
: ALGORITHM [=] {DEFAULT|INPLACE|COPY}lock_option
: LOCK [=] {DEFAULT|NONE|SHARED|EXCLUSIVE}
DROP INDEX
drops the index named
index_name
from the table
tbl_name
. This statement is mapped to
an ALTER TABLE
statement to drop
the index. See Section 13.1.6, “ALTER TABLE
Syntax”.
To drop a primary key, the index name is always
PRIMARY
, which must be specified as a quoted
identifier because PRIMARY
is a reserved word:
DROP INDEX `PRIMARY` ON t;
As of MySQL 5.6.6, the ALGORITHM
and
LOCK
clauses may be given. These influence the
table copying method and level of concurrency for reading and
writing the table while its indexes are being modified. They have
the same meaning as for the ALTER
TABLE
statement. For more information, see
Section 13.1.6, “ALTER TABLE
Syntax”
DROP {PROCEDURE | FUNCTION} [IF EXISTS] sp_name
This statement is used to drop a stored procedure or function.
That is, the specified routine is removed from the server. You
must have the ALTER ROUTINE
privilege for the routine. (If the
automatic_sp_privileges
system variable is
enabled, that privilege and EXECUTE
are granted automatically to the routine creator when the routine
is created and dropped from the creator when the routine is
dropped. See Section 18.2.2, “Stored Routines and MySQL Privileges”.)
The IF EXISTS
clause is a MySQL extension. It
prevents an error from occurring if the procedure or function does
not exist. A warning is produced that can be viewed with
SHOW WARNINGS
.
DROP FUNCTION
is also used to drop
user-defined functions (see Section 13.7.3.2, “DROP FUNCTION
Syntax”).
DROP SERVER [ IF EXISTS ] server_name
Drops the server definition for the server named
. The
corresponding row in the server_name
mysql.servers
table is
deleted. This statement requires the
SUPER
privilege.
Dropping a server for a table does not affect any
FEDERATED
tables that used this connection
information when they were created. See
Section 13.1.13, “CREATE SERVER
Syntax”.
DROP SERVER
does not cause an automatic commit.
In MySQL 5.6, DROP SERVER
is not
written to the binary log, regardless of the logging format that
is in use.
DROP [TEMPORARY] TABLE [IF EXISTS]tbl_name
[,tbl_name
] ... [RESTRICT | CASCADE]
DROP TABLE
removes one or more
tables. You must have the DROP
privilege for each table. All table data and the table definition
are removed, so be
careful with this statement! If any of the tables named
in the argument list do not exist, MySQL returns an error
indicating by name which nonexisting tables it was unable to drop,
but it also drops all of the tables in the list that do exist.
When a table is dropped, user privileges on the table are
not automatically dropped. See
Section 13.7.1.4, “GRANT
Syntax”.
Note that for a partitioned table, DROP
TABLE
permanently removes the table definition, all of
its partitions, and all of the data which was stored in those
partitions. It also removes the partitioning definition
(.par
) file associated with the dropped
table.
Use IF EXISTS
to prevent an error from
occurring for tables that do not exist. A NOTE
is generated for each nonexistent table when using IF
EXISTS
. See Section 13.7.5.41, “SHOW WARNINGS
Syntax”.
RESTRICT
and CASCADE
are
permitted to make porting easier. In MySQL 5.6, they
do nothing.
DROP TABLE
automatically commits
the current active transaction, unless you use the
TEMPORARY
keyword.
The TEMPORARY
keyword has the following
effects:
The statement drops only TEMPORARY
tables.
The statement does not end an ongoing transaction.
No access rights are checked. (A TEMPORARY
table is visible only to the session that created it, so no
check is necessary.)
Using TEMPORARY
is a good way to ensure that
you do not accidentally drop a non-TEMPORARY
table.
DROP TRIGGER [IF EXISTS] [schema_name
.]trigger_name
This statement drops a trigger. The schema (database) name is
optional. If the schema is omitted, the trigger is dropped from
the default schema. DROP TRIGGER
requires the TRIGGER
privilege for
the table associated with the trigger.
Use IF EXISTS
to prevent an error from
occurring for a trigger that does not exist. A
NOTE
is generated for a nonexistent trigger
when using IF EXISTS
. See
Section 13.7.5.41, “SHOW WARNINGS
Syntax”.
Triggers for a table are also dropped if you drop the table.
DROP VIEW [IF EXISTS]view_name
[,view_name
] ... [RESTRICT | CASCADE]
DROP VIEW
removes one or more
views. You must have the DROP
privilege for each view. If any of the views named in the argument
list do not exist, MySQL returns an error indicating by name which
nonexisting views it was unable to drop, but it also drops all of
the views in the list that do exist.
The IF EXISTS
clause prevents an error from
occurring for views that don't exist. When this clause is given, a
NOTE
is generated for each nonexistent view.
See Section 13.7.5.41, “SHOW WARNINGS
Syntax”.
RESTRICT
and CASCADE
, if
given, are parsed and ignored.
RENAME TABLEtbl_name
TOnew_tbl_name
[,tbl_name2
TOnew_tbl_name2
] ...
This statement renames one or more tables.
The rename operation is done atomically, which means that no other
session can access any of the tables while the rename is running.
For example, if you have an existing table
old_table
, you can create another table
new_table
that has the same structure but is
empty, and then replace the existing table with the empty one as
follows (assuming that backup_table
does not
already exist):
CREATE TABLE new_table (...); RENAME TABLE old_table TO backup_table, new_table TO old_table;
If the statement renames more than one table, renaming operations
are done from left to right. If you want to swap two table names,
you can do so like this (assuming that
tmp_table
does not already exist):
RENAME TABLE old_table TO tmp_table, new_table TO old_table, tmp_table TO new_table;
As long as two databases are on the same file system, you can use
RENAME TABLE
to move a table from
one database to another:
RENAME TABLEcurrent_db.tbl_name
TOother_db.tbl_name;
If there are any triggers associated with a table which is moved
to a different database using RENAME
TABLE
, then the statement fails with the error
Trigger in wrong schema.
RENAME TABLE
also works for views,
as long as you do not try to rename a view into a different
database.
Any privileges granted specifically for the renamed table or view are not migrated to the new name. They must be changed manually.
When you execute RENAME
, you cannot have any
locked tables or active transactions. You must also have the
ALTER
and
DROP
privileges on the original
table, and the CREATE
and
INSERT
privileges on the new table.
If MySQL encounters any errors in a multiple-table rename, it does a reverse rename for all renamed tables to return everything to its original state.
You cannot use RENAME
to rename a
TEMPORARY
table. However, you can use
ALTER TABLE
instead:
mysql> ALTER TABLE orig_name RENAME new_name;
TRUNCATE [TABLE] tbl_name
TRUNCATE TABLE
empties a table
completely. It requires the DROP
privilege.
Logically, TRUNCATE TABLE
is
similar to a DELETE
statement that
deletes all rows, or a sequence of DROP
TABLE
and CREATE TABLE
statements. To achieve high performance, it bypasses the DML
method of deleting data. Thus, it cannot be rolled back, it does
not cause ON DELETE
triggers to fire, and it
cannot be performed for InnoDB
tables with
parent-child foreign key relationships.
Although TRUNCATE TABLE
is similar
to DELETE
, it is classified as a
DDL statement rather than a DML statement. It differs from
DELETE
in the following ways in
MySQL 5.6:
Truncate operations drop and re-create the table, which is much faster than deleting rows one by one, particularly for large tables.
Truncate operations cause an implicit commit, and so cannot be rolled back.
Truncation operations cannot be performed if the session holds an active table lock.
TRUNCATE TABLE
fails for an
InnoDB
table if there are any
FOREIGN KEY
constraints from other tables
that reference the table. Foreign key constraints between
columns of the same table are permitted.
Truncation operations do not return a meaningful value for the number of deleted rows. The usual result is “0 rows affected,” which should be interpreted as “no information.”
As long as the table format file
is valid, the table can be re-created as an empty table with
tbl_name
.frmTRUNCATE TABLE
, even if the
data or index files have become corrupted.
Any AUTO_INCREMENT
value is reset to its
start value. This is true even for MyISAM
and InnoDB
, which normally do not reuse
sequence values.
When used with partitioned tables,
TRUNCATE TABLE
preserves the
partitioning; that is, the data and index files are dropped
and re-created, while the partition definitions
(.par
) file is unaffected.
The TRUNCATE TABLE
statement
does not invoke ON DELETE
triggers.
TRUNCATE TABLE
for a table closes
all handlers for the table that were opened with
HANDLER OPEN
.
TRUNCATE TABLE
is treated for
purposes of binary logging and replication as
DROP TABLE
followed by
CREATE TABLE
—that is, as DDL
rather than DML. This is due to the fact that, when using
InnoDB
and other transactional
storage engines where the transaction isolation level does not
permit statement-based logging (READ COMMITTED
or READ UNCOMMITTED
), the statement was not
logged and replicated when using STATEMENT
or
MIXED
logging mode. (Bug #36763) However, it is
still applied on replication slaves using
InnoDB
in the manner described
previously.
TRUNCATE TABLE
can be used with
Performance Schema summary tables, but the effect is to reset the
summary columns to 0 or NULL
, not to remove
rows. See Section 20.9.8, “Performance Schema Summary Tables”.
CALLsp_name
([parameter
[,...]]) CALLsp_name
[()]
The CALL
statement invokes a stored
procedure that was defined previously with
CREATE PROCEDURE
.
Stored procedures that take no arguments can be invoked without
parentheses. That is, CALL p()
and
CALL p
are equivalent.
CALL
can pass back values to its
caller using parameters that are declared as
OUT
or INOUT
parameters.
When the procedure returns, a client program can also obtain the
number of rows affected for the final statement executed within
the routine: At the SQL level, call the
ROW_COUNT()
function; from the C
API, call the
mysql_affected_rows()
function.
To get back a value from a procedure using an
OUT
or INOUT
parameter, pass
the parameter by means of a user variable, and then check the
value of the variable after the procedure returns. (If you are
calling the procedure from within another stored procedure or
function, you can also pass a routine parameter or local routine
variable as an IN
or INOUT
parameter.) For an INOUT
parameter, initialize
its value before passing it to the procedure. The following
procedure has an OUT
parameter that the
procedure sets to the current server version, and an
INOUT
value that the procedure increments by
one from its current value:
CREATE PROCEDURE p (OUT ver_param VARCHAR(25), INOUT incr_param INT) BEGIN # Set value of OUT parameter SELECT VERSION() INTO ver_param; # Increment value of INOUT parameter SET incr_param = incr_param + 1; END;
Before calling the procedure, initialize the variable to be passed
as the INOUT
parameter. After calling the
procedure, the values of the two variables will have been set or
modified:
mysql>SET @increment = 10;
mysql>CALL p(@version, @increment);
mysql>SELECT @version, @increment;
+--------------+------------+ | @version | @increment | +--------------+------------+ | 5.5.3-m3-log | 11 | +--------------+------------+
In prepared CALL
statements used
with PREPARE
and
EXECUTE
, placeholders can be used
for IN
parameters. For OUT
and INOUT
parameters, placeholder support is
available as of MySQL 5.5.3. These types of parameters can be used
as follows:
mysql>SET @increment = 10;
mysql>PREPARE s FROM 'CALL p(?, ?)';
mysql>EXECUTE s USING @version, @increment;
mysql>SELECT @version, @increment;
+--------------+------------+ | @version | @increment | +--------------+------------+ | 5.5.3-m3-log | 11 | +--------------+------------+
Before MySQL 5.5.3, placeholder support is not available for
OUT
or INOUT
parameters. To
work around this limitation for OUT
and
INOUT
parameters, forego the use of
placeholders; instead, refer to user variables in the
CALL
statement itself and do not
specify them in the EXECUTE
statement:
mysql>SET @increment = 10;
mysql>PREPARE s FROM 'CALL p(@version, @increment)';
mysql>EXECUTE s;
mysql>SELECT @version, @increment;
+--------------+------------+ | @version | @increment | +--------------+------------+ | 5.5.0-m2-log | 11 | +--------------+------------+
To write C programs that use the
CALL
SQL statement to execute
stored procedures that produce result sets, the
CLIENT_MULTI_RESULTS
flag must be enabled. This
is because each CALL
returns a
result to indicate the call status, in addition to any result sets
that might be returned by statements executed within the
procedure. CLIENT_MULTI_RESULTS
must also be
enabled if CALL
is used to execute
any stored procedure that contains prepared statements. It cannot
be determined when such a procedure is loaded whether those
statements will produce result sets, so it is necessary to assume
that they will.
CLIENT_MULTI_RESULTS
can be enabled when you
call mysql_real_connect()
, either
explicitly by passing the CLIENT_MULTI_RESULTS
flag itself, or implicitly by passing
CLIENT_MULTI_STATEMENTS
(which also enables
CLIENT_MULTI_RESULTS
). In MySQL
5.6, CLIENT_MULTI_RESULTS
is
enabled by default.
To process the result of a CALL
statement executed using
mysql_query()
or
mysql_real_query()
, use a loop
that calls mysql_next_result()
to
determine whether there are more results. For an example, see
Section 21.9.13, “C API Support for Multiple Statement Execution”.
For programs written in a language that provides a MySQL
interface, there is no native method prior to MySQL 5.5.3 for
directly retrieving the results of OUT
or
INOUT
parameters from
CALL
statements. To get the
parameter values, pass user-defined variables to the procedure in
the CALL
statement and then execute
a SELECT
statement to produce a
result set containing the variable values. To handle an
INOUT
parameter, execute a statement prior to
the CALL
that sets the
corresponding user variable to the value to be passed to the
procedure.
The following example illustrates the technique (without error
checking) for the stored procedure p
described
earlier that has an OUT
parameter and an
INOUT
parameter:
mysql_query(mysql, "SET @increment = 10"); mysql_query(mysql, "CALL p(@version, @increment)"); mysql_query(mysql, "SELECT @version, @increment"); result = mysql_store_result(mysql); row = mysql_fetch_row(result); mysql_free_result(result);
After the preceding code executes, row[0]
and
row[1]
contain the values of
@version
and @increment
,
respectively.
In MySQL 5.6, C programs can use the
prepared-statement interface to execute
CALL
statements and access
OUT
and INOUT
parameters.
This is done by processing the result of a
CALL
statement using a loop that
calls mysql_stmt_next_result()
to
determine whether there are more results. For an example, see
Section 21.9.16, “C API Support for Prepared CALL
Statements”. Languages that
provide a MySQL interface can use prepared
CALL
statements to directly
retrieve OUT
and INOUT
procedure parameters.
As of MySQL 5.6.6, metadata changes to objects referred to by stored programs are detected and cause automatic reparsing of the affected statements when the program is next executed. For more information, see Section 8.9.4, “Caching of Prepared Statements and Stored Programs”.
DELETE
is a DML statement that removes rows
from a table.
DELETE [LOW_PRIORITY] [QUICK] [IGNORE] FROMtbl_name
[PARTITION (partition_name
,...)] [WHEREwhere_condition
] [ORDER BY ...] [LIMITrow_count
]
The DELETE
statement deletes rows from
tbl_name
and returns the number of
deleted rows. To check the number of deleted rows, call the
ROW_COUNT()
function described in
Section 12.14, “Information Functions”.
The conditions in the optional WHERE
clause
identify which rows to delete. With no WHERE
clause, all rows are deleted.
where_condition
is an expression that
evaluates to true for each row to be deleted. It is specified as
described in Section 13.2.9, “SELECT
Syntax”.
If the ORDER BY
clause is specified, the rows
are deleted in the order that is specified. The
LIMIT
clause places a limit on the number of
rows that can be deleted. These clauses apply to single-table
deletes, but not multi-table deletes.
DELETE [LOW_PRIORITY] [QUICK] [IGNORE]tbl_name
[.*] [,tbl_name
[.*]] ... FROMtable_references
[WHEREwhere_condition
]
Or:
DELETE [LOW_PRIORITY] [QUICK] [IGNORE] FROMtbl_name
[.*] [,tbl_name
[.*]] ... USINGtable_references
[WHEREwhere_condition
]
You need the DELETE
privilege on a
table to delete rows from it. You need only the
SELECT
privilege for any columns
that are only read, such as those named in the
WHERE
clause.
When you do not need to know the number of deleted rows, the
TRUNCATE TABLE
statement is a
faster way to empty a table than a
DELETE
statement with no
WHERE
clause. Unlike
DELETE
,
TRUNCATE TABLE
cannot be used
within a transaction or if you have a lock on the table. See
Section 13.1.27, “TRUNCATE TABLE
Syntax” and
Section 13.3.5, “LOCK TABLES
and
UNLOCK
TABLES
Syntax”.
The speed of delete operations may also be affected by factors
discussed in Section 8.2.2.3, “Speed of DELETE
Statements”.
To ensure that a given DELETE
statement does not take too much time, the MySQL-specific
LIMIT
clause for row_count
DELETE
specifies the
maximum number of rows to be deleted. If the number of rows to
delete is larger than the limit, repeat the
DELETE
statement until the number of affected
rows is less than the LIMIT
value.
Currently, you cannot delete from a table and select from the same table in a subquery.
Beginning with MySQL 5.6.2, DELETE
supports
explicit partition selection using the
PARTITION
option, which takes a comma-separated
list of the names of one or more partitions or subpartitions (or
both) from which to select rows to be dropped. Partitions not
included in the list are ignored. Given a partitioned table
t
with a partition named p0
,
executing the statement DELETE FROM t PARTITION
(p0)
has the same effect on the table as executing
ALTER TABLE t
TRUNCATE PARTITION (p0)
; in both cases, all rows in
partition p0
are dropped.
PARTITION
can be used along with a
WHERE
condition, in which case the condition is
tested only on rows in the listed partitions. For example,
DELETE FROM t PARTITION (p0) WHERE c < 5
deletes rows only from partition p0
for which
the condition c < 5
is true; rows in any
other partitions are not checked and thus not affected by the
DELETE
.
The PARTITION
option can also be used in
multiple-table DELETE
statements. You can use
up to one such option per table named in the
FROM
option.
See Section 17.5, “Partition Selection”, for more information and examples.
If you delete the row containing the maximum value for an
AUTO_INCREMENT
column, the value is not reused
for a MyISAM
or InnoDB
table. If you delete all rows in the table with DELETE
FROM
(without a
tbl_name
WHERE
clause) in
autocommit
mode, the sequence
starts over for all storage engines except
InnoDB
and MyISAM
. There are
some exceptions to this behavior for InnoDB
tables, as discussed in
Section 14.2.2.4, “AUTO_INCREMENT
Handling in InnoDB
”.
For MyISAM
tables, you can specify an
AUTO_INCREMENT
secondary column in a
multiple-column key. In this case, reuse of values deleted from
the top of the sequence occurs even for MyISAM
tables. See Section 3.6.9, “Using AUTO_INCREMENT
”.
The DELETE
statement supports the
following modifiers:
If you specify LOW_PRIORITY
, the server
delays execution of the DELETE
until no other clients are reading from the table. This
affects only storage engines that use only table-level locking
(such as MyISAM
, MEMORY
,
and MERGE
).
For MyISAM
tables, if you use the
QUICK
keyword, the storage engine does not
merge index leaves during delete, which may speed up some
kinds of delete operations.
The IGNORE
keyword causes MySQL to ignore
all errors during the process of deleting rows. (Errors
encountered during the parsing stage are processed in the
usual manner.) Errors that are ignored due to the use of
IGNORE
are returned as warnings.
If the DELETE
statement includes an
ORDER BY
clause, rows are deleted in the order
specified by the clause. This is useful primarily in conjunction
with LIMIT
. For example, the following
statement finds rows matching the WHERE
clause,
sorts them by timestamp_column
, and deletes the
first (oldest) one:
DELETE FROM somelog WHERE user = 'jcole' ORDER BY timestamp_column LIMIT 1;
ORDER BY
also helps to delete rows in an order
required to avoid referential integrity violations.
If you are deleting many rows from a large table, you may exceed
the lock table size for an InnoDB
table. To
avoid this problem, or simply to minimize the time that the table
remains locked, the following strategy (which does not use
DELETE
at all) might be helpful:
Select the rows not to be deleted into an empty table that has the same structure as the original table:
INSERT INTO t_copy SELECT * FROM t WHERE ... ;
Use RENAME TABLE
to atomically
move the original table out of the way and rename the copy to
the original name:
RENAME TABLE t TO t_old, t_copy TO t;
Drop the original table:
DROP TABLE t_old;
No other sessions can access the tables involved while
RENAME TABLE
executes, so the
rename operation is not subject to concurrency problems. See
Section 13.1.26, “RENAME TABLE
Syntax”.
In MyISAM
tables, deleted rows are maintained
in a linked list and subsequent
INSERT
operations reuse old row
positions. To reclaim unused space and reduce file sizes, use the
OPTIMIZE TABLE
statement or the
myisamchk utility to reorganize tables.
OPTIMIZE TABLE
is easier to use,
but myisamchk is faster. See
Section 13.7.2.4, “OPTIMIZE TABLE
Syntax”, and Section 4.6.3, “myisamchk — MyISAM Table-Maintenance Utility”.
The QUICK
modifier affects whether index leaves
are merged for delete operations. DELETE QUICK
is most useful for applications where index values for deleted
rows are replaced by similar index values from rows inserted
later. In this case, the holes left by deleted values are reused.
DELETE QUICK
is not useful when deleted values
lead to underfilled index blocks spanning a range of index values
for which new inserts occur again. In this case, use of
QUICK
can lead to wasted space in the index
that remains unreclaimed. Here is an example of such a scenario:
Create a table that contains an indexed
AUTO_INCREMENT
column.
Insert many rows into the table. Each insert results in an index value that is added to the high end of the index.
Delete a block of rows at the low end of the column range
using DELETE QUICK
.
In this scenario, the index blocks associated with the deleted
index values become underfilled but are not merged with other
index blocks due to the use of QUICK
. They
remain underfilled when new inserts occur, because new rows do not
have index values in the deleted range. Furthermore, they remain
underfilled even if you later use
DELETE
without
QUICK
, unless some of the deleted index values
happen to lie in index blocks within or adjacent to the
underfilled blocks. To reclaim unused index space under these
circumstances, use OPTIMIZE TABLE
.
If you are going to delete many rows from a table, it might be
faster to use DELETE QUICK
followed by
OPTIMIZE TABLE
. This rebuilds the
index rather than performing many index block merge operations.
You can specify multiple tables in a
DELETE
statement to delete rows
from one or more tables depending on the condition in the
WHERE
clause. You cannot use ORDER
BY
or LIMIT
in a multiple-table
DELETE
. The
table_references
clause lists the
tables involved in the join, as described in
Section 13.2.9.2, “JOIN
Syntax”.
For the first multiple-table syntax, only matching rows from the
tables listed before the FROM
clause are
deleted. For the second multiple-table syntax, only matching rows
from the tables listed in the FROM
clause
(before the USING
clause) are deleted. The
effect is that you can delete rows from many tables at the same
time and have additional tables that are used only for searching:
DELETE t1, t2 FROM t1 INNER JOIN t2 INNER JOIN t3 WHERE t1.id=t2.id AND t2.id=t3.id;
Or:
DELETE FROM t1, t2 USING t1 INNER JOIN t2 INNER JOIN t3 WHERE t1.id=t2.id AND t2.id=t3.id;
These statements use all three tables when searching for rows to
delete, but delete matching rows only from tables
t1
and t2
.
The preceding examples use INNER JOIN
, but
multiple-table DELETE
statements
can use other types of join permitted in
SELECT
statements, such as
LEFT JOIN
. For example, to delete rows that
exist in t1
that have no match in
t2
, use a LEFT JOIN
:
DELETE t1 FROM t1 LEFT JOIN t2 ON t1.id=t2.id WHERE t2.id IS NULL;
The syntax permits .*
after each
tbl_name
for compatibility with
Access.
If you use a multiple-table DELETE
statement involving InnoDB
tables for which
there are foreign key constraints, the MySQL optimizer might
process tables in an order that differs from that of their
parent/child relationship. In this case, the statement fails and
rolls back. Instead, you should delete from a single table and
rely on the ON DELETE
capabilities that
InnoDB
provides to cause the other tables to be
modified accordingly.
If you declare an alias for a table, you must use the alias when referring to the table:
DELETE t1 FROM test AS t1, test2 WHERE ...
Table aliases in a multiple-table
DELETE
should be declared only in
the table_references
part of the
statement. Elsewhere, alias references are permitted but not alias
declarations.
Correct:
DELETE a1, a2 FROM t1 AS a1 INNER JOIN t2 AS a2 WHERE a1.id=a2.id; DELETE FROM a1, a2 USING t1 AS a1 INNER JOIN t2 AS a2 WHERE a1.id=a2.id;
Incorrect:
DELETE t1 AS a1, t2 AS a2 FROM t1 INNER JOIN t2 WHERE a1.id=a2.id; DELETE FROM t1 AS a1, t2 AS a2 USING t1 INNER JOIN t2 WHERE a1.id=a2.id;
DOexpr
[,expr
] ...
DO
executes the expressions but
does not return any results. In most respects,
DO
is shorthand for SELECT
, but has the
advantage that it is slightly faster when you do not care about
the result.
expr
, ...
DO
is useful primarily with
functions that have side effects, such as
RELEASE_LOCK()
.
HANDLERtbl_name
OPEN [ [AS]alias
] HANDLERtbl_name
READindex_name
{ = | <= | >= | < | > } (value1
,value2
,...) [ WHEREwhere_condition
] [LIMIT ... ] HANDLERtbl_name
READindex_name
{ FIRST | NEXT | PREV | LAST } [ WHEREwhere_condition
] [LIMIT ... ] HANDLERtbl_name
READ { FIRST | NEXT } [ WHEREwhere_condition
] [LIMIT ... ] HANDLERtbl_name
CLOSE
The HANDLER
statement provides
direct access to table storage engine interfaces. It is available
for MyISAM
and InnoDB
tables.
The HANDLER ... OPEN
statement opens a table,
making it accessible using subsequent HANDLER ...
READ
statements. This table object is not shared by
other sessions and is not closed until the session calls
HANDLER ... CLOSE
or the session terminates. If
you open the table using an alias, further references to the open
table with other HANDLER
statements
must use the alias rather than the table name.
The first HANDLER ... READ
syntax fetches a row
where the index specified satisfies the given values and the
WHERE
condition is met. If you have a
multiple-column index, specify the index column values as a
comma-separated list. Either specify values for all the columns in
the index, or specify values for a leftmost prefix of the index
columns. Suppose that an index my_idx
includes
three columns named col_a
,
col_b
, and col_c
, in that
order. The HANDLER
statement can
specify values for all three columns in the index, or for the
columns in a leftmost prefix. For example:
HANDLER ... READ my_idx = (col_a_val,col_b_val,col_c_val) ... HANDLER ... READ my_idx = (col_a_val,col_b_val) ... HANDLER ... READ my_idx = (col_a_val) ...
To employ the HANDLER
interface to
refer to a table's PRIMARY KEY
, use the quoted
identifier `PRIMARY`
:
HANDLER tbl_name
READ `PRIMARY` ...
The second HANDLER ... READ
syntax fetches a
row from the table in index order that matches the
WHERE
condition.
The third HANDLER ... READ
syntax fetches a row
from the table in natural row order that matches the
WHERE
condition. It is faster than
HANDLER
when a full table
scan is desired. Natural row order is the order in which rows are
stored in a tbl_name
READ
index_name
MyISAM
table data file. This
statement works for InnoDB
tables as well, but
there is no such concept because there is no separate data file.
Without a LIMIT
clause, all forms of
HANDLER ... READ
fetch a single row if one is
available. To return a specific number of rows, include a
LIMIT
clause. It has the same syntax as for the
SELECT
statement. See
Section 13.2.9, “SELECT
Syntax”.
HANDLER ... CLOSE
closes a table that was
opened with HANDLER ... OPEN
.
There are several reasons to use the
HANDLER
interface instead of normal
SELECT
statements:
HANDLER
is faster than
SELECT
:
A designated storage engine handler object is allocated
for the HANDLER ... OPEN
. The object is
reused for subsequent
HANDLER
statements for that
table; it need not be reinitialized for each one.
There is less parsing involved.
There is no optimizer or query-checking overhead.
The handler interface does not have to provide a
consistent look of the data (for example, dirty reads are
permitted), so the storage engine can use optimizations
that SELECT
does not
normally permit.
For applications that use a low-level
ISAM
-like interface,
HANDLER
makes it much easier to
port them to MySQL.
HANDLER
enables you to traverse
a database in a manner that is difficult (or even impossible)
to accomplish with SELECT
. The
HANDLER
interface is a more
natural way to look at data when working with applications
that provide an interactive user interface to the database.
HANDLER
is a somewhat low-level
statement. For example, it does not provide consistency. That is,
HANDLER ... OPEN
does not
take a snapshot of the table, and does not
lock the table. This means that after a HANDLER ...
OPEN
statement is issued, table data can be modified (by
the current session or other sessions) and these modifications
might be only partially visible to HANDLER ...
NEXT
or HANDLER ... PREV
scans.
An open handler can be closed and marked for reopen, in which case the handler loses its position in the table. This occurs when both of the following circumstances are true:
Any session executes
FLUSH TABLES
or DDL statements on the handler's table.
The session in which the handler is open executes
non-HANDLER
statements that use
tables.
TRUNCATE TABLE
for a table closes
all handlers for the table that were opened with
HANDLER OPEN
.
If a table is flushed with
FLUSH TABLES
was
opened with tbl_name
WITH READ LOCKHANDLER
, the handler is
implicitly flushed and loses its position.
INSERT [LOW_PRIORITY | DELAYED | HIGH_PRIORITY] [IGNORE] [INTO]tbl_name
[PARTITION (partition_name
,...)] [(col_name
,...)] {VALUES | VALUE} ({expr
| DEFAULT},...),(...),... [ ON DUPLICATE KEY UPDATEcol_name
=expr
[,col_name
=expr
] ... ]
Or:
INSERT [LOW_PRIORITY | DELAYED | HIGH_PRIORITY] [IGNORE] [INTO]tbl_name
[PARTITION (partition_name
,...)] SETcol_name
={expr
| DEFAULT}, ... [ ON DUPLICATE KEY UPDATEcol_name
=expr
[,col_name
=expr
] ... ]
Or:
INSERT [LOW_PRIORITY | HIGH_PRIORITY] [IGNORE] [INTO]tbl_name
[PARTITION (partition_name
,...)] [(col_name
,...)] SELECT ... [ ON DUPLICATE KEY UPDATEcol_name
=expr
[,col_name
=expr
] ... ]
INSERT
inserts new rows into an
existing table. The INSERT
... VALUES
and
INSERT ... SET
forms of the statement insert rows based on explicitly specified
values. The INSERT
... SELECT
form inserts rows selected from another table
or tables. INSERT
... SELECT
is discussed further in
Section 13.2.5.1, “INSERT ...
SELECT
Syntax”.
In MySQL 5.6.2 and later, when inserting into a partitioned table,
you can control which partitions and subpartitions accept new
rows. The PARTITION
option takes a
comma-separated list of the names of one or more partitions or
subpartitions (or both) of the table. If any of the rows to be
inserted by a given INSERT
statement do not
match one of the partitions listed, the INSERT
statement fails with the error Found a row not matching
the given partition set. See
Section 17.5, “Partition Selection”, for more information and
examples.
You can use REPLACE
instead of
INSERT
to overwrite old rows.
REPLACE
is the counterpart to
INSERT IGNORE
in
the treatment of new rows that contain unique key values that
duplicate old rows: The new rows are used to replace the old rows
rather than being discarded. See Section 13.2.8, “REPLACE
Syntax”.
tbl_name
is the table into which rows
should be inserted. The columns for which the statement provides
values can be specified as follows:
You can provide a comma-separated list of column names
following the table name. In this case, a value for each named
column must be provided by the VALUES
list
or the SELECT
statement.
If you do not specify a list of column names for
INSERT ...
VALUES
or
INSERT ...
SELECT
, values for every column in the table must be
provided by the VALUES
list or the
SELECT
statement. If you do not
know the order of the columns in the table, use
DESCRIBE
to find out.
tbl_name
The SET
clause indicates the column names
explicitly.
Column values can be given in several ways:
If you are not running in strict SQL mode, any column not explicitly given a value is set to its default (explicit or implicit) value. For example, if you specify a column list that does not name all the columns in the table, unnamed columns are set to their default values. Default value assignment is described in Section 11.5, “Data Type Default Values”. See also Section 1.8.6.2, “Constraints on Invalid Data”.
If you want an INSERT
statement
to generate an error unless you explicitly specify values for
all columns that do not have a default value, you should use
strict mode. See Section 5.1.7, “Server SQL Modes”.
Use the keyword DEFAULT
to set a column
explicitly to its default value. This makes it easier to write
INSERT
statements that assign
values to all but a few columns, because it enables you to
avoid writing an incomplete VALUES
list
that does not include a value for each column in the table.
Otherwise, you would have to write out the list of column
names corresponding to each value in the
VALUES
list.
You can also use
DEFAULT(
as a more general form that can be used in expressions to
produce a given column's default value.
col_name
)
If both the column list and the VALUES
list
are empty, INSERT
creates a row
with each column set to its default value:
INSERT INTO tbl_name
() VALUES();
In strict mode, an error occurs if any column doesn't have a default value. Otherwise, MySQL uses the implicit default value for any column that does not have an explicitly defined default.
You can specify an expression expr
to provide a column value. This might involve type conversion
if the type of the expression does not match the type of the
column, and conversion of a given value can result in
different inserted values depending on the data type. For
example, inserting the string '1999.0e-2'
into an INT
,
FLOAT
,
DECIMAL(10,6)
, or
YEAR
column results in the
values 1999
, 19.9921
,
19.992100
, and 1999
being inserted, respectively. The reason the value stored in
the INT
and
YEAR
columns is
1999
is that the string-to-integer
conversion looks only at as much of the initial part of the
string as may be considered a valid integer or year. For the
floating-point and fixed-point columns, the
string-to-floating-point conversion considers the entire
string a valid floating-point value.
An expression expr
can refer to any
column that was set earlier in a value list. For example, you
can do this because the value for col2
refers to col1
, which has previously been
assigned:
INSERT INTO tbl_name
(col1,col2) VALUES(15,col1*2);
But the following is not legal, because the value for
col1
refers to col2
,
which is assigned after col1
:
INSERT INTO tbl_name
(col1,col2) VALUES(col2*2,15);
One exception involves columns that contain
AUTO_INCREMENT
values. Because the
AUTO_INCREMENT
value is generated after
other value assignments, any reference to an
AUTO_INCREMENT
column in the assignment
returns a 0
.
INSERT
statements that use
VALUES
syntax can insert multiple rows. To do
this, include multiple lists of column values, each enclosed
within parentheses and separated by commas. Example:
INSERT INTO tbl_name
(a,b,c) VALUES(1,2,3),(4,5,6),(7,8,9);
The values list for each row must be enclosed within parentheses. The following statement is illegal because the number of values in the list does not match the number of column names:
INSERT INTO tbl_name
(a,b,c) VALUES(1,2,3,4,5,6,7,8,9);
VALUE
is a synonym for
VALUES
in this context. Neither implies
anything about the number of values lists, and either may be used
whether there is a single values list or multiple lists.
The affected-rows value for an
INSERT
can be obtained using the
ROW_COUNT()
function (see
Section 12.14, “Information Functions”), or the
mysql_affected_rows()
C API
function (see Section 21.9.3.1, “mysql_affected_rows()
”).
If you use an INSERT ...
VALUES
statement with multiple value lists or
INSERT ...
SELECT
, the statement returns an information string in
this format:
Records: 100 Duplicates: 0 Warnings: 0
Records
indicates the number of rows processed
by the statement. (This is not necessarily the number of rows
actually inserted because Duplicates
can be
nonzero.) Duplicates
indicates the number of
rows that could not be inserted because they would duplicate some
existing unique index value. Warnings
indicates
the number of attempts to insert column values that were
problematic in some way. Warnings can occur under any of the
following conditions:
Inserting NULL
into a column that has been
declared NOT NULL
. For multiple-row
INSERT
statements or
INSERT INTO ...
SELECT
statements, the column is set to the implicit
default value for the column data type. This is
0
for numeric types, the empty string
(''
) for string types, and the
“zero” value for date and time types.
INSERT INTO ...
SELECT
statements are handled the same way as
multiple-row inserts because the server does not examine the
result set from the SELECT
to
see whether it returns a single row. (For a single-row
INSERT
, no warning occurs when
NULL
is inserted into a NOT
NULL
column. Instead, the statement fails with an
error.)
Setting a numeric column to a value that lies outside the column's range. The value is clipped to the closest endpoint of the range.
Assigning a value such as '10.34 a'
to a
numeric column. The trailing nonnumeric text is stripped off
and the remaining numeric part is inserted. If the string
value has no leading numeric part, the column is set to
0
.
Inserting a string into a string column
(CHAR
,
VARCHAR
,
TEXT
, or
BLOB
) that exceeds the column's
maximum length. The value is truncated to the column's maximum
length.
Inserting a value into a date or time column that is illegal for the data type. The column is set to the appropriate zero value for the type.
If you are using the C API, the information string can be obtained
by invoking the mysql_info()
function. See Section 21.9.3.35, “mysql_info()
”.
If INSERT
inserts a row into a
table that has an AUTO_INCREMENT
column, you
can find the value used for that column by using the SQL
LAST_INSERT_ID()
function. From
within the C API, use the
mysql_insert_id()
function.
However, you should note that the two functions do not always
behave identically. The behavior of
INSERT
statements with respect to
AUTO_INCREMENT
columns is discussed further in
Section 12.14, “Information Functions”, and
Section 21.9.3.37, “mysql_insert_id()
”.
The INSERT
statement supports the
following modifiers:
If you use the DELAYED
keyword, the server
puts the row or rows to be inserted into a buffer, and the
client issuing the INSERT
DELAYED
statement can then continue immediately. If
the table is in use, the server holds the rows. When the table
is free, the server begins inserting rows, checking
periodically to see whether there are any new read requests
for the table. If there are, the delayed row queue is
suspended until the table becomes free again. See
Section 13.2.5.2, “INSERT DELAYED
Syntax”.
DELAYED
is ignored with
INSERT ...
SELECT
or
INSERT
... ON DUPLICATE KEY UPDATE
.
DELAYED
is also disregarded for an
INSERT
that uses functions
accessing tables or triggers, or that is called from a
function or a trigger.
As of MySQL 5.6.6, INSERT
DELAYED
is deprecated, and will be removed in a
future release. Use INSERT
(without
DELAYED
) instead.
If you use the LOW_PRIORITY
keyword,
execution of the INSERT
is
delayed until no other clients are reading from the table.
This includes other clients that began reading while existing
clients are reading, and while the INSERT
LOW_PRIORITY
statement is waiting. It is possible,
therefore, for a client that issues an INSERT
LOW_PRIORITY
statement to wait for a very long time
(or even forever) in a read-heavy environment. (This is in
contrast to INSERT DELAYED
,
which lets the client continue at once. Note that
LOW_PRIORITY
should normally not be used
with MyISAM
tables because doing so
disables concurrent inserts. See
Section 8.10.3, “Concurrent Inserts”.
If you specify HIGH_PRIORITY
, it overrides
the effect of the
--low-priority-updates
option
if the server was started with that option. It also causes
concurrent inserts not to be used. See
Section 8.10.3, “Concurrent Inserts”.
LOW_PRIORITY
and
HIGH_PRIORITY
affect only storage engines
that use only table-level locking (such as
MyISAM
, MEMORY
, and
MERGE
).
If you use the IGNORE
keyword, errors that
occur while executing the
INSERT
statement are treated as
warnings instead. For example, without
IGNORE
, a row that duplicates an existing
UNIQUE
index or PRIMARY
KEY
value in the table causes a duplicate-key error
and the statement is aborted. With IGNORE
,
the row still is not inserted, but no error is issued.
IGNORE
has a similar effect on inserts into
partitioned tables where no partition matching a given value
is found. Without IGNORE
, such
INSERT
statements are aborted
with an error; however, when
INSERT
IGNORE
is used, the insert operation fails silently
for the row containing the unmatched value, but any rows that
are matched are inserted. For an example, see
Section 17.2.2, “LIST
Partitioning”.
Data conversions that would trigger errors abort the statement
if IGNORE
is not specified. With
IGNORE
, invalid values are adjusted to the
closest values and inserted; warnings are produced but the
statement does not abort. You can determine with the
mysql_info()
C API function
how many rows were actually inserted into the table.
If you specify ON DUPLICATE KEY UPDATE
, and
a row is inserted that would cause a duplicate value in a
UNIQUE
index or PRIMARY
KEY
, an UPDATE
of the
old row is performed. The affected-rows value per row is 1 if
the row is inserted as a new row and 2 if an existing row is
updated. See Section 13.2.5.3, “INSERT ... ON
DUPLICATE KEY UPDATE
Syntax”.
Inserting into a table requires the
INSERT
privilege for the table. If
the ON DUPLICATE KEY UPDATE
clause is used and
a duplicate key causes an UPDATE
to
be performed instead, the statement requires the
UPDATE
privilege for the columns to
be updated. For columns that are read but not modified you need
only the SELECT
privilege (such as
for a column referenced only on the right hand side of an
col_name
=expr
assignment in an ON DUPLICATE KEY UPDATE
clause).
Prior to MySQL 5.6.6, an INSERT
that affected a
partitioned table using a storage engine such as
MyISAM
that employs table-level locks
locked all partitions of the table. This was true even for
INSERT ... PARTITION
statements. (This did not
and does not occur with storage engines such as
InnoDB
that employ row-level
locking.) In MySQL 5.6.6 and later, MySQL uses partition lock
pruning, so that only partitions into which rows are inserted are
actually locked. For more information, see
Section 17.6.4, “Partitioning and Locking”.
INSERT [LOW_PRIORITY | HIGH_PRIORITY] [IGNORE] [INTO]tbl_name
[PARTITION (partition_name
,...)] [(col_name
,...)] SELECT ... [ ON DUPLICATE KEY UPDATEcol_name
=expr
, ... ]
With INSERT ...
SELECT
, you can quickly insert many rows into a table
from one or many tables. For example:
INSERT INTO tbl_temp2 (fld_id) SELECT tbl_temp1.fld_order_id FROM tbl_temp1 WHERE tbl_temp1.fld_order_id > 100;
The following conditions hold for a
INSERT ...
SELECT
statements:
Specify IGNORE
to ignore rows that would
cause duplicate-key violations.
DELAYED
is ignored with
INSERT ...
SELECT
.
The target table of the
INSERT
statement may appear
in the FROM
clause of the
SELECT
part of the query.
(This was not possible in some older versions of MySQL.)
However, you cannot insert into a table and select from the
same table in a subquery.
When selecting from and inserting into a table at the same
time, MySQL creates a temporary table to hold the rows from
the SELECT
and then inserts
those rows into the target table. However, it remains true
that you cannot use INSERT INTO t ... SELECT ...
FROM t
when t
is a
TEMPORARY
table, because
TEMPORARY
tables cannot be referred to
twice in the same statement (see
Section C.5.7.2, “TEMPORARY
Table Problems”).
AUTO_INCREMENT
columns work as usual.
To ensure that the binary log can be used to re-create the
original tables, MySQL does not permit concurrent inserts
for INSERT
... SELECT
statements.
To avoid ambiguous column reference problems when the
SELECT
and the
INSERT
refer to the same
table, provide a unique alias for each table used in the
SELECT
part, and qualify
column names in that part with the appropriate alias.
Starting with MySQL 5.6.2, you can explicitly select which
partitions or subpartitions (or both) of the source or target
table (or both) are to be used with a
PARTITION
option following the name of the
table. When PARTITION
is used with the name
of the source table in the SELECT
portion of the statement, rows are selected only from the
partitions or subpartitions named in its partition list. When
PARTITION
is used with the name of the target
table for the INSERT
portion of
the statement, then it must be possible to insert all rows
selected into the partitions or subpartitions named in the
partition list following the option, else the INSERT
... SELECT
statement fails. For more information and
examples, see Section 17.5, “Partition Selection”.
In the values part of ON DUPLICATE KEY
UPDATE
, you can refer to columns in other tables, as
long as you do not use GROUP BY
in the
SELECT
part. One side effect is
that you must qualify nonunique column names in the values part.
The order in which rows are returned by a
SELECT
statement with no
ORDER BY
clause is not determined. This means
that, when using replication, there is no guarantee that such a
SELECT
returns rows in the same order on the
master and the slave; this can lead to inconsistencies between
them. To prevent this from occurring, you should always write
INSERT ... SELECT
statements that are to be
replicated as INSERT ... SELECT ... ORDER BY
. The choice of
column
column
does not matter as long as the
same order for returning the rows is enforced on both the master
and the slave. See also
Section 16.4.1.15, “Replication and LIMIT
”.
Due to this issue, beginning with MySQL 5.6.4,
INSERT ...
SELECT ON DUPLICATE KEY UPDATE
and
INSERT IGNORE ...
SELECT
statements are flagged as unsafe for
statement-based replication. With this change, such statements
produce a warning in the log when using statement-based mode and
are logged using the row-based format when using
MIXED
mode. (Bug #11758262, Bug #50439)
See also Section 16.1.2.1, “Advantages and Disadvantages of Statement-Based and Row-Based Replication”.
Prior to MySQL 5.6.6, an INSERT ... SELECT
statement that acted on partitioned tables using a storage
engine such as MyISAM
that employs
table-level locks locked all partitions of the source and target
tables. (This did not and does not occur with tables using
storage engines such as InnoDB
that
employ row-level locking.) In MySQL 5.6.6 and later, only those
partitions of the source table that are actually read are
locked, although all partitions of the target table are locked.
See Section 17.6.4, “Partitioning and Locking”, for more
information.
INSERT DELAYED ...
The DELAYED
option for the
INSERT
statement is a MySQL
extension to standard SQL that can be used for certain kinds of
tables (such as MyISAM
). When a client uses
INSERT DELAYED
, it gets an okay
from the server at once, and the row is queued to be inserted
when the table is not in use by any other thread.
INSERT DELAYED
is slower than a
normal INSERT
if the table is
not otherwise in use. There is also the additional overhead
for the server to handle a separate thread for each table for
which there are delayed rows. This means that you should use
INSERT DELAYED
only when you
are really sure that you need it.
As of MySQL 5.6.6, INSERT
DELAYED
is deprecated, and will be removed in a
future release. Use INSERT
(without
DELAYED
) instead.
The queued rows are held only in memory until they are inserted
into the table. This means that if you terminate
mysqld forcibly (for example, with
kill -9
) or if mysqld dies
unexpectedly, any queued rows that have not been
written to disk are lost.
There are some constraints on the use of
DELAYED
:
INSERT DELAYED
works only
with MyISAM
, MEMORY
,
ARCHIVE
, and BLACKHOLE
tables. For engines that do not support
DELAYED
, an error occurs.
An error occurs for INSERT
DELAYED
if used with a table that has been locked
with LOCK TABLES
because the insert must
be handled by a separate thread, not by the session that
holds the lock.
For MyISAM
tables, if there are no free
blocks in the middle of the data file, concurrent
SELECT
and
INSERT
statements are
supported. Under these circumstances, you very seldom need
to use INSERT DELAYED
with
MyISAM
.
INSERT DELAYED
should be used
only for INSERT
statements
that specify value lists. The server ignores
DELAYED
for
INSERT ...
SELECT
or
INSERT
... ON DUPLICATE KEY UPDATE
statements.
Because the INSERT DELAYED
statement returns immediately, before the rows are inserted,
you cannot use
LAST_INSERT_ID()
to get the
AUTO_INCREMENT
value that the statement
might generate.
DELAYED
rows are not visible to
SELECT
statements until they
actually have been inserted.
Prior to MySQL 5.6, INSERT
DELAYED
was treated as a normal
INSERT
if the statement
inserted multiple rows, binary logging was enabled, and the
global logging format was statement-based (that is, whenever
binlog_format
was set to
STATEMENT
). Beginning with MySQL
5.6, INSERT
DELAYED
is always handled as a simple
INSERT
(that is, without the
DELAYED
option) whenever the value of
binlog_format
is
STATEMENT
or MIXED
.
(In the latter case, the statement no longer triggers a
switch to row-based logging, and so is logged using the
statement-based format.)
This does not apply when using row-based binary logging mode
(binlog_format
set to
ROW
), in which
INSERT DELAYED
statements are
always executed using the DELAYED
option
as specified, and logged as row-update events.
DELAYED
is ignored on slave replication
servers, so that INSERT
DELAYED
is treated as a normal
INSERT
on slaves. This is
because DELAYED
could cause the slave to
have different data than the master.
Pending INSERT DELAYED
statements are lost if a table is write locked and
ALTER TABLE
is used to modify
the table structure.
INSERT DELAYED
is not
supported for views.
INSERT DELAYED
is not
supported for partitioned tables.
The following describes in detail what happens when you use the
DELAYED
option to
INSERT
or
REPLACE
. In this description, the
“thread” is the thread that received an
INSERT DELAYED
statement and
“handler” is the thread that handles all
INSERT DELAYED
statements for a
particular table.
When a thread executes a DELAYED
statement for a table, a handler thread is created to
process all DELAYED
statements for the
table, if no such handler already exists.
The thread checks whether the handler has previously
acquired a DELAYED
lock; if not, it tells
the handler thread to do so. The DELAYED
lock can be obtained even if other threads have a
READ
or WRITE
lock on
the table. However, the handler waits for all
ALTER TABLE
locks or
FLUSH
TABLES
statements to finish, to ensure that the
table structure is up to date.
The thread executes the
INSERT
statement, but instead
of writing the row to the table, it puts a copy of the final
row into a queue that is managed by the handler thread. Any
syntax errors are noticed by the thread and reported to the
client program.
The client cannot obtain from the server the number of
duplicate rows or the AUTO_INCREMENT
value for the resulting row, because the
INSERT
returns before the
insert operation has been completed. (If you use the C API,
the mysql_info()
function
does not return anything meaningful, for the same reason.)
The binary log is updated by the handler thread when the row is inserted into the table. In case of multiple-row inserts, the binary log is updated when the first row is inserted.
Each time that
delayed_insert_limit
rows
are written, the handler checks whether any
SELECT
statements are still
pending. If so, it permits these to execute before
continuing.
When the handler has no more rows in its queue, the table is
unlocked. If no new INSERT
DELAYED
statements are received within
delayed_insert_timeout
seconds, the handler terminates.
If more than
delayed_queue_size
rows are
pending in a specific handler queue, the thread requesting
INSERT DELAYED
waits until
there is room in the queue. This is done to ensure that
mysqld does not use all memory for the
delayed memory queue.
The handler thread shows up in the MySQL process list with
delayed_insert
in the
Command
column. It is killed if you
execute a FLUSH
TABLES
statement or kill it with KILL
. However,
before exiting, it first stores all queued rows into the
table. During this time it does not accept any new
thread_id
INSERT
statements from other
threads. If you execute an INSERT
DELAYED
statement after this, a new handler thread
is created.
Note that this means that INSERT
DELAYED
statements have higher priority than
normal INSERT
statements if
there is an INSERT DELAYED
handler running. Other update statements have to wait until
the INSERT DELAYED
queue is
empty, someone terminates the handler thread (with
KILL
), or someone
executes a thread_id
FLUSH
TABLES
.
The following status variables provide information about
INSERT DELAYED
statements.
Status Variable | Meaning |
---|---|
Delayed_insert_threads | Number of handler threads |
Delayed_writes | Number of rows written with INSERT
DELAYED |
Not_flushed_delayed_rows | Number of rows waiting to be written |
You can view these variables by issuing a
SHOW STATUS
statement or by
executing a mysqladmin extended-status
command.
If you specify ON DUPLICATE KEY UPDATE
, and a
row is inserted that would cause a duplicate value in a
UNIQUE
index or PRIMARY
KEY
, MySQL performs an
UPDATE
of the old row. For
example, if column a
is declared as
UNIQUE
and contains the value
1
, the following two statements have similar
effect:
INSERT INTO table (a,b,c) VALUES (1,2,3) ON DUPLICATE KEY UPDATE c=c+1; UPDATE table SET c=c+1 WHERE a=1;
(The effects are not identical for an InnoDB
table where a
is an auto-increment column.
With an auto-increment column, an INSERT
statement increases the auto-increment value but
UPDATE
does not.)
The ON DUPLICATE KEY UPDATE
clause can
contain multiple column assignments, separated by commas.
With ON DUPLICATE KEY UPDATE
, the
affected-rows value per row is 1 if the row is inserted as a new
row, and 2 if an existing row is updated.
If column b
is also unique, the
INSERT
is equivalent to this
UPDATE
statement instead:
UPDATE table SET c=c+1 WHERE a=1 OR b=2 LIMIT 1;
If a=1 OR b=2
matches several rows, only
one row is updated. In general, you should
try to avoid using an ON DUPLICATE KEY UPDATE
clause on tables with multiple unique indexes.
You can use the
VALUES(
function in the col_name
)UPDATE
clause to
refer to column values from the
INSERT
portion of the
INSERT ...
ON DUPLICATE KEY UPDATE
statement. In other words,
VALUES(
in the col_name
)ON DUPLICATE KEY UPDATE
clause refers
to the value of col_name
that would
be inserted, had no duplicate-key conflict occurred. This
function is especially useful in multiple-row inserts. The
VALUES()
function is meaningful
only in INSERT ... UPDATE
statements and
returns NULL
otherwise. Example:
INSERT INTO table (a,b,c) VALUES (1,2,3),(4,5,6) ON DUPLICATE KEY UPDATE c=VALUES(a)+VALUES(b);
That statement is identical to the following two statements:
INSERT INTO table (a,b,c) VALUES (1,2,3) ON DUPLICATE KEY UPDATE c=3; INSERT INTO table (a,b,c) VALUES (4,5,6) ON DUPLICATE KEY UPDATE c=9;
If a table contains an AUTO_INCREMENT
column
and INSERT
... ON DUPLICATE KEY UPDATE
inserts or updates a row,
the LAST_INSERT_ID()
function
returns the AUTO_INCREMENT
value.
The DELAYED
option is ignored when you use
ON DUPLICATE KEY UPDATE
.
Because the results of
INSERT ...
SELECT
statements depend on the ordering of rows from
the SELECT
and this order cannot
always be guaranteed, it is possible when logging
INSERT ...
SELECT ON DUPLICATE KEY UPDATE
statements for the
master and the slave to diverge. Thus, in MySQL 5.6.4 and later,
INSERT ...
SELECT ON DUPLICATE KEY UPDATE
statements are flagged
as unsafe for statement-based replication. With this change,
such statements produce a warning in the log when using
statement-based mode and are logged using the row-based format
when using MIXED
mode. In addition, beginning
with MySQL 5.6.6, an
INSERT ...
ON DUPLICATE KEY UPDATE
statement against a table
having more than one unique or primary key is also marked as
unsafe. (Bug #11765650, Bug #58637) See also
Section 16.1.2.1, “Advantages and Disadvantages of Statement-Based and Row-Based
Replication”.
Prior to MySQL 5.6.6, an INSERT ... ON DUPLICATE KEY
UPDATE
on a partitioned table using a storage engine
such as MyISAM
that employs
table-level locks locked all partitions of the table. (This did
not and does not occur with tables using storage engines such as
InnoDB
that employ row-level
locking.) In MySQL 5.6.6 and later, such statements lock only
those partitions in which a partitioning key column is updated.
See Section 17.6.4, “Partitioning and Locking”, for more
information.
LOAD DATA [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name
' [REPLACE | IGNORE] INTO TABLEtbl_name
[PARTITION (partition_name
,...)] [CHARACTER SETcharset_name
] [{FIELDS | COLUMNS} [TERMINATED BY 'string
'] [[OPTIONALLY] ENCLOSED BY 'char
'] [ESCAPED BY 'char
'] ] [LINES [STARTING BY 'string
'] [TERMINATED BY 'string
'] ] [IGNOREnumber
{LINES | ROWS}] [(col_name_or_user_var
,...)] [SETcol_name
=expr
,...]
The LOAD DATA
INFILE
statement reads rows from a text file into a
table at a very high speed. The file name must be given as a
literal string.
LOAD DATA
INFILE
is the complement of
SELECT ... INTO
OUTFILE
. (See Section 13.2.9.1, “SELECT ... INTO
Syntax”.) To write
data from a table to a file, use
SELECT ... INTO
OUTFILE
. To read the file back into a table, use
LOAD DATA
INFILE
. The syntax of the FIELDS
and
LINES
clauses is the same for both statements.
Both clauses are optional, but FIELDS
must
precede LINES
if both are specified.
For more information about the efficiency of
INSERT
versus
LOAD DATA
INFILE
and speeding up
LOAD DATA
INFILE
, see Section 8.2.2.1, “Speed of INSERT
Statements”.
The character set indicated by the
character_set_database
system
variable is used to interpret the information in the file.
SET NAMES
and the setting of
character_set_client
do not
affect interpretation of input. If the contents of the input file
use a character set that differs from the default, it is usually
preferable to specify the character set of the file by using the
CHARACTER SET
clause. A character set of
binary
specifies “no conversion.”
LOAD DATA
INFILE
interprets all fields in the file as having the
same character set, regardless of the data types of the columns
into which field values are loaded. For proper interpretation of
file contents, you must ensure that it was written with the
correct character set. For example, if you write a data file with
mysqldump -T or by issuing a
SELECT ... INTO
OUTFILE
statement in mysql, be sure
to use a --default-character-set
option with
mysqldump or mysql so that
output is written in the character set to be used when the file is
loaded with LOAD DATA
INFILE
.
It is not possible to load data files that use the
ucs2
, utf16
,
utf16le
, or utf32
character set.
The character_set_filesystem
system variable controls the interpretation of the file name.
You can also load data files by using the
mysqlimport utility; it operates by sending a
LOAD DATA
INFILE
statement to the server. The
--local
option causes
mysqlimport to read data files from the client
host. You can specify the
--compress
option to get
better performance over slow networks if the client and server
support the compressed protocol. See
Section 4.5.5, “mysqlimport — A Data Import Program”.
If you use LOW_PRIORITY
, execution of the
LOAD DATA
statement is delayed
until no other clients are reading from the table. This affects
only storage engines that use only table-level locking (such as
MyISAM
, MEMORY
, and
MERGE
).
If you specify CONCURRENT
with a
MyISAM
table that satisfies the condition for
concurrent inserts (that is, it contains no free blocks in the
middle), other threads can retrieve data from the table while
LOAD DATA
is executing. Using this
option affects the performance of LOAD
DATA
a bit, even if no other thread is using the table
at the same time.
Prior to MySQL 5.5.1, CONCURRENT
was not
replicated when using statement-based replication (see Bug
#34628). However, it is replicated when using row-based
replication, regardless of the version. See
Section 16.4.1.16, “Replication and LOAD DATA
INFILE
”, for more
information.
The LOCAL
keyword, if specified, is interpreted
with respect to the client end of the connection:
If LOCAL
is specified, the file is read by
the client program on the client host and sent to the server.
The file can be given as a full path name to specify its exact
location. If given as a relative path name, the name is
interpreted relative to the directory in which the client
program was started.
When using LOCAL
with
LOAD DATA
, a copy of the file
is created in the server's temporary directory. This is
not the directory determined by the value
of tmpdir
or
slave_load_tmpdir
, but rather
the operating system's temporary directory, and is not
configurable in the MySQL Server. (Typically the system
temporary directory is /tmp
on Linux
systems and C:\WINDOWS\TEMP
on Windows.)
Lack of sufficient space for the copy in this directory can
cause the LOAD DATA
LOCAL
statement to fail.
If LOCAL
is not specified, the file must be
located on the server host and is read directly by the server.
The server uses the following rules to locate the file:
If the file name is an absolute path name, the server uses it as given.
If the file name is a relative path name with one or more leading components, the server searches for the file relative to the server's data directory.
If a file name with no leading components is given, the server looks for the file in the database directory of the default database.
Note that, in the non-LOCAL
case, these rules
mean that a file named as ./myfile.txt
is
read from the server's data directory, whereas the file named as
myfile.txt
is read from the database
directory of the default database. For example, if
db1
is the default database, the following
LOAD DATA
statement reads the file
data.txt
from the database directory for
db1
, even though the statement explicitly loads
the file into a table in the db2
database:
LOAD DATA INFILE 'data.txt' INTO TABLE db2.my_table;
Windows path names are specified using forward slashes rather than backslashes. If you do use backslashes, you must double them.
In MySQL 5.6.2 and later, LOAD DATA
supports
explicit partition selection using the
PARTITION
option with a comma-separated list of
more or more names of partitions, subpartitions, or both. When
this option is used, if any rows from the file cannot be inserted
into any of the partitions or subpartitions named in the list, the
statement fails with the error Found a row not matching
the given partition set. For more information, see
Section 17.5, “Partition Selection”.
For security reasons, when reading text files located on the
server, the files must either reside in the database directory or
be readable by all. Also, to use
LOAD DATA
INFILE
on server files, you must have the
FILE
privilege. See
Section 6.2.1, “Privileges Provided by MySQL”. For
non-LOCAL
load operations, if the
secure_file_priv
system variable
is set to a nonempty directory name, the file to be loaded must be
located in that directory.
Using LOCAL
is a bit slower than letting the
server access the files directly, because the contents of the file
must be sent over the connection by the client to the server. On
the other hand, you do not need the
FILE
privilege to load local files.
With LOCAL
, the default duplicate-key handling
behavior is the same as if IGNORE
is specified;
this is because the server has no way to stop transmission of the
file in the middle of the operation. IGNORE
is
explained further later in this section.
LOCAL
works only if your server and your client
both have been configured to permit it. For example, if
mysqld was started with
--local-infile=0
,
LOCAL
does not work. See
Section 6.1.6, “Security Issues with LOAD
DATA LOCAL
”.
On Unix, if you need LOAD DATA
to
read from a pipe, you can use the following technique (the example
loads a listing of the /
directory into the
table db1.t1
):
mkfifo /mysql/data/db1/ls.dat chmod 666 /mysql/data/db1/ls.dat find / -ls > /mysql/data/db1/ls.dat & mysql -e "LOAD DATA INFILE 'ls.dat' INTO TABLE t1" db1
Note that you must run the command that generates the data to be loaded and the mysql commands either on separate terminals, or run the data generation process in the background (as shown in the preceding example). If you do not do this, the pipe will block until data is read by the mysql process.
The REPLACE
and
IGNORE
keywords control handling of input rows
that duplicate existing rows on unique key values:
If you specify REPLACE
, input
rows replace existing rows. In other words, rows that have the
same value for a primary key or unique index as an existing
row. See Section 13.2.8, “REPLACE
Syntax”.
If you specify IGNORE
, input rows that
duplicate an existing row on a unique key value are skipped.
If you do not specify either option, the behavior depends on
whether the LOCAL
keyword is specified.
Without LOCAL
, an error occurs when a
duplicate key value is found, and the rest of the text file is
ignored. With LOCAL
, the default behavior
is the same as if IGNORE
is specified; this
is because the server has no way to stop transmission of the
file in the middle of the operation.
If you want to ignore foreign key constraints during the load
operation, you can issue a SET foreign_key_checks =
0
statement before executing LOAD
DATA
.
If you use LOAD DATA
INFILE
on an empty MyISAM
table, all
nonunique indexes are created in a separate batch (as for
REPAIR TABLE
). Normally, this makes
LOAD DATA
INFILE
much faster when you have many indexes. In some
extreme cases, you can create the indexes even faster by turning
them off with ALTER TABLE ... DISABLE KEYS
before loading the file into the table and using ALTER
TABLE ... ENABLE KEYS
to re-create the indexes after
loading the file. See Section 8.2.2.1, “Speed of INSERT
Statements”.
For both the LOAD DATA
INFILE
and
SELECT ... INTO
OUTFILE
statements, the syntax of the
FIELDS
and LINES
clauses is
the same. Both clauses are optional, but FIELDS
must precede LINES
if both are specified.
If you specify a FIELDS
clause, each of its
subclauses (TERMINATED BY
,
[OPTIONALLY] ENCLOSED BY
, and ESCAPED
BY
) is also optional, except that you must specify at
least one of them.
If you specify no FIELDS
or
LINES
clause, the defaults are the same as if
you had written this:
FIELDS TERMINATED BY '\t' ENCLOSED BY '' ESCAPED BY '\\' LINES TERMINATED BY '\n' STARTING BY ''
(Backslash is the MySQL escape character within strings in SQL
statements, so to specify a literal backslash, you must specify
two backslashes for the value to be interpreted as a single
backslash. The escape sequences '\t'
and
'\n'
specify tab and newline characters,
respectively.)
In other words, the defaults cause
LOAD DATA
INFILE
to act as follows when reading input:
Look for line boundaries at newlines.
Do not skip over any line prefix.
Break lines into fields at tabs.
Do not expect fields to be enclosed within any quoting characters.
Interpret characters preceded by the escape character
“\
” as escape sequences. For
example, “\t
”,
“\n
”, and
“\\
” signify tab, newline, and
backslash, respectively. See the discussion of FIELDS
ESCAPED BY
later for the full list of escape
sequences.
Conversely, the defaults cause
SELECT ... INTO
OUTFILE
to act as follows when writing output:
Write tabs between fields.
Do not enclose fields within any quoting characters.
Use “\
” to escape instances of
tab, newline, or “\
” that
occur within field values.
Write newlines at the ends of lines.
If you have generated the text file on a Windows system, you
might have to use LINES TERMINATED BY '\r\n'
to read the file properly, because Windows programs typically
use two characters as a line terminator. Some programs, such as
WordPad, might use \r
as a
line terminator when writing files. To read such files, use
LINES TERMINATED BY '\r'
.
If all the lines you want to read in have a common prefix that you
want to ignore, you can use LINES STARTING BY
'
to skip over
the prefix, and anything before it. If a line
does not include the prefix, the entire line is skipped. Suppose
that you issue the following statement:
prefix_string
'
LOAD DATA INFILE '/tmp/test.txt' INTO TABLE test FIELDS TERMINATED BY ',' LINES STARTING BY 'xxx';
If the data file looks like this:
xxx"abc",1 something xxx"def",2 "ghi",3
The resulting rows will be ("abc",1)
and
("def",2)
. The third row in the file is skipped
because it does not contain the prefix.
The IGNORE
option can be used to ignore lines at the start of
the file. For example, you can use number
LINESIGNORE 1
LINES
to skip over an initial header line containing
column names:
LOAD DATA INFILE '/tmp/test.txt' INTO TABLE test IGNORE 1 LINES;
When you use SELECT
... INTO OUTFILE
in tandem with
LOAD DATA
INFILE
to write data from a database into a file and
then read the file back into the database later, the field- and
line-handling options for both statements must match. Otherwise,
LOAD DATA
INFILE
will not interpret the contents of the file
properly. Suppose that you use
SELECT ... INTO
OUTFILE
to write a file with fields delimited by commas:
SELECT * INTO OUTFILE 'data.txt' FIELDS TERMINATED BY ',' FROM table2;
To read the comma-delimited file back in, the correct statement would be:
LOAD DATA INFILE 'data.txt' INTO TABLE table2 FIELDS TERMINATED BY ',';
If instead you tried to read in the file with the statement shown
following, it wouldn't work because it instructs
LOAD DATA
INFILE
to look for tabs between fields:
LOAD DATA INFILE 'data.txt' INTO TABLE table2 FIELDS TERMINATED BY '\t';
The likely result is that each input line would be interpreted as a single field.
LOAD DATA
INFILE
can be used to read files obtained from external
sources. For example, many programs can export data in
comma-separated values (CSV) format, such that lines have fields
separated by commas and enclosed within double quotation marks,
with an initial line of column names. If the lines in such a file
are terminated by carriage return/newline pairs, the statement
shown here illustrates the field- and line-handling options you
would use to load the file:
LOAD DATA INFILE 'data.txt' INTO TABLE tbl_name
FIELDS TERMINATED BY ',' ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES;
If the input values are not necessarily enclosed within quotation
marks, use OPTIONALLY
before the
ENCLOSED BY
keywords.
Any of the field- or line-handling options can specify an empty
string (''
). If not empty, the FIELDS
[OPTIONALLY] ENCLOSED BY
and FIELDS ESCAPED
BY
values must be a single character. The
FIELDS TERMINATED BY
, LINES STARTING
BY
, and LINES TERMINATED BY
values
can be more than one character. For example, to write lines that
are terminated by carriage return/linefeed pairs, or to read a
file containing such lines, specify a LINES TERMINATED BY
'\r\n'
clause.
To read a file containing jokes that are separated by lines
consisting of %%
, you can do this
CREATE TABLE jokes (a INT NOT NULL AUTO_INCREMENT PRIMARY KEY, joke TEXT NOT NULL); LOAD DATA INFILE '/tmp/jokes.txt' INTO TABLE jokes FIELDS TERMINATED BY '' LINES TERMINATED BY '\n%%\n' (joke);
FIELDS [OPTIONALLY] ENCLOSED BY
controls
quoting of fields. For output
(SELECT ... INTO
OUTFILE
), if you omit the word
OPTIONALLY
, all fields are enclosed by the
ENCLOSED BY
character. An example of such
output (using a comma as the field delimiter) is shown here:
"1","a string","100.20" "2","a string containing a , comma","102.20" "3","a string containing a \" quote","102.20" "4","a string containing a \", quote and comma","102.20"
If you specify OPTIONALLY
, the
ENCLOSED BY
character is used only to enclose
values from columns that have a string data type (such as
CHAR
,
BINARY
,
TEXT
, or
ENUM
):
1,"a string",100.20 2,"a string containing a , comma",102.20 3,"a string containing a \" quote",102.20 4,"a string containing a \", quote and comma",102.20
Note that occurrences of the ENCLOSED BY
character within a field value are escaped by prefixing them with
the ESCAPED BY
character. Also note that if you
specify an empty ESCAPED BY
value, it is
possible to inadvertently generate output that cannot be read
properly by LOAD DATA
INFILE
. For example, the preceding output just shown
would appear as follows if the escape character is empty. Observe
that the second field in the fourth line contains a comma
following the quote, which (erroneously) appears to terminate the
field:
1,"a string",100.20 2,"a string containing a , comma",102.20 3,"a string containing a " quote",102.20 4,"a string containing a ", quote and comma",102.20
For input, the ENCLOSED BY
character, if
present, is stripped from the ends of field values. (This is true
regardless of whether OPTIONALLY
is specified;
OPTIONALLY
has no effect on input
interpretation.) Occurrences of the ENCLOSED BY
character preceded by the ESCAPED BY
character
are interpreted as part of the current field value.
If the field begins with the ENCLOSED BY
character, instances of that character are recognized as
terminating a field value only if followed by the field or line
TERMINATED BY
sequence. To avoid ambiguity,
occurrences of the ENCLOSED BY
character within
a field value can be doubled and are interpreted as a single
instance of the character. For example, if ENCLOSED BY
'"'
is specified, quotation marks are handled as shown
here:
"The ""BIG"" boss" -> The "BIG" boss The "BIG" boss -> The "BIG" boss The ""BIG"" boss -> The ""BIG"" boss
FIELDS ESCAPED BY
controls how to read or write
special characters:
For input, if the FIELDS ESCAPED BY
character is not empty, occurrences of that character are
stripped and the following character is taken literally as
part of a field value. Some two-character sequences that are
exceptions, where the first character is the escape character.
These sequences are shown in the following table (using
“\
” for the escape character).
The rules for NULL
handling are described
later in this section.
Character | Escape Sequence |
---|---|
\0
| An ASCII NUL (0x00 ) character |
\b
| A backspace character |
\n
| A newline (linefeed) character |
\r
| A carriage return character |
\t
| A tab character. |
\Z
| ASCII 26 (Control+Z) |
\N
| NULL |
For more information about
“\
”-escape syntax, see
Section 9.1.1, “String Literals”.
If the FIELDS ESCAPED BY
character is
empty, escape-sequence interpretation does not occur.
For output, if the FIELDS ESCAPED BY
character is not empty, it is used to prefix the following
characters on output:
The FIELDS ESCAPED BY
character
The FIELDS [OPTIONALLY] ENCLOSED BY
character
The first character of the FIELDS TERMINATED
BY
and LINES TERMINATED BY
values
ASCII 0
(what is actually written
following the escape character is ASCII
“0
”, not a zero-valued
byte)
If the FIELDS ESCAPED BY
character is
empty, no characters are escaped and NULL
is output as NULL
, not
\N
. It is probably not a good idea to
specify an empty escape character, particularly if field
values in your data contain any of the characters in the list
just given.
In certain cases, field- and line-handling options interact:
If LINES TERMINATED BY
is an empty string
and FIELDS TERMINATED BY
is nonempty, lines
are also terminated with FIELDS TERMINATED
BY
.
If the FIELDS TERMINATED BY
and
FIELDS ENCLOSED BY
values are both empty
(''
), a fixed-row (nondelimited) format is
used. With fixed-row format, no delimiters are used between
fields (but you can still have a line terminator). Instead,
column values are read and written using a field width wide
enough to hold all values in the field. For
TINYINT
,
SMALLINT
,
MEDIUMINT
,
INT
, and
BIGINT
, the field widths are 4,
6, 8, 11, and 20, respectively, no matter what the declared
display width is.
LINES TERMINATED BY
is still used to
separate lines. If a line does not contain all fields, the
rest of the columns are set to their default values. If you do
not have a line terminator, you should set this to
''
. In this case, the text file must
contain all fields for each row.
Fixed-row format also affects handling of
NULL
values, as described later. Note that
fixed-size format does not work if you are using a multi-byte
character set.
Handling of NULL
values varies according to the
FIELDS
and LINES
options in
use:
For the default FIELDS
and
LINES
values, NULL
is
written as a field value of \N
for output,
and a field value of \N
is read as
NULL
for input (assuming that the
ESCAPED BY
character is
“\
”).
If FIELDS ENCLOSED BY
is not empty, a field
containing the literal word NULL
as its
value is read as a NULL
value. This differs
from the word NULL
enclosed within
FIELDS ENCLOSED BY
characters, which is
read as the string 'NULL'
.
If FIELDS ESCAPED BY
is empty,
NULL
is written as the word
NULL
.
With fixed-row format (which is used when FIELDS
TERMINATED BY
and FIELDS ENCLOSED
BY
are both empty), NULL
is
written as an empty string. Note that this causes both
NULL
values and empty strings in the table
to be indistinguishable when written to the file because both
are written as empty strings. If you need to be able to tell
the two apart when reading the file back in, you should not
use fixed-row format.
An attempt to load NULL
into a NOT
NULL
column causes assignment of the implicit default
value for the column's data type and a warning, or an error in
strict SQL mode. Implicit default values are discussed in
Section 11.5, “Data Type Default Values”.
Some cases are not supported by
LOAD DATA
INFILE
:
Fixed-size rows (FIELDS TERMINATED BY
and
FIELDS ENCLOSED BY
both empty) and
BLOB
or
TEXT
columns.
If you specify one separator that is the same as or a prefix
of another, LOAD
DATA INFILE
cannot interpret the input properly. For
example, the following FIELDS
clause would
cause problems:
FIELDS TERMINATED BY '"' ENCLOSED BY '"'
If FIELDS ESCAPED BY
is empty, a field
value that contains an occurrence of FIELDS ENCLOSED
BY
or LINES TERMINATED BY
followed by the FIELDS TERMINATED BY
value
causes LOAD DATA
INFILE
to stop reading a field or line too early.
This happens because
LOAD DATA
INFILE
cannot properly determine where the field or
line value ends.
The following example loads all columns of the
persondata
table:
LOAD DATA INFILE 'persondata.txt' INTO TABLE persondata;
By default, when no column list is provided at the end of the
LOAD DATA
INFILE
statement, input lines are expected to contain a
field for each table column. If you want to load only some of a
table's columns, specify a column list:
LOAD DATA INFILE 'persondata.txt' INTO TABLE persondata (col1,col2,...);
You must also specify a column list if the order of the fields in the input file differs from the order of the columns in the table. Otherwise, MySQL cannot tell how to match input fields with table columns.
The column list can contain either column names or user variables.
With user variables, the SET
clause enables you
to perform transformations on their values before assigning the
result to columns.
User variables in the SET
clause can be used in
several ways. The following example uses the first input column
directly for the value of t1.column1
, and
assigns the second input column to a user variable that is
subjected to a division operation before being used for the value
of t1.column2
:
LOAD DATA INFILE 'file.txt' INTO TABLE t1 (column1, @var1) SET column2 = @var1/100;
The SET
clause can be used to supply values not
derived from the input file. The following statement sets
column3
to the current date and time:
LOAD DATA INFILE 'file.txt' INTO TABLE t1 (column1, column2) SET column3 = CURRENT_TIMESTAMP;
You can also discard an input value by assigning it to a user variable and not assigning the variable to a table column:
LOAD DATA INFILE 'file.txt' INTO TABLE t1 (column1, @dummy, column2, @dummy, column3);
Use of the column/variable list and SET
clause
is subject to the following restrictions:
Assignments in the SET
clause should have
only column names on the left hand side of assignment
operators.
You can use subqueries in the right hand side of
SET
assignments. A subquery that returns a
value to be assigned to a column may be a scalar subquery
only. Also, you cannot use a subquery to select from the table
that is being loaded.
Lines ignored by an IGNORE
clause are not
processed for the column/variable list or
SET
clause.
User variables cannot be used when loading data with fixed-row format because user variables do not have a display width.
When processing an input line, LOAD
DATA
splits it into fields and uses the values according
to the column/variable list and the SET
clause,
if they are present. Then the resulting row is inserted into the
table. If there are BEFORE INSERT
or
AFTER INSERT
triggers for the table, they are
activated before or after inserting the row, respectively.
If an input line has too many fields, the extra fields are ignored and the number of warnings is incremented.
If an input line has too few fields, the table columns for which input fields are missing are set to their default values. Default value assignment is described in Section 11.5, “Data Type Default Values”.
An empty field value is interpreted differently than if the field value is missing:
For string types, the column is set to the empty string.
For numeric types, the column is set to 0
.
For date and time types, the column is set to the appropriate “zero” value for the type. See Section 11.3, “Date and Time Types”.
These are the same values that result if you assign an empty
string explicitly to a string, numeric, or date or time type
explicitly in an INSERT
or
UPDATE
statement.
TIMESTAMP
columns are set to the
current date and time only if there is a NULL
value for the column (that is, \N
) and the
column is not declared to permit NULL
values,
or if the TIMESTAMP
column's
default value is the current timestamp and it is omitted from the
field list when a field list is specified.
LOAD DATA
INFILE
regards all input as strings, so you cannot use
numeric values for ENUM
or
SET
columns the way you can with
INSERT
statements. All
ENUM
and
SET
values must be specified as
strings.
BIT
values cannot be loaded using
binary notation (for example, b'011010'
). To
work around this, specify the values as regular integers and use
the SET
clause to convert them so that MySQL
performs a numeric type conversion and loads them into the
BIT
column properly:
shell>cat /tmp/bit_test.txt
2 127 shell>mysql test
mysql>LOAD DATA INFILE '/tmp/bit_test.txt'
->INTO TABLE bit_test (@var1) SET b= CAST(@var1 AS UNSIGNED);
Query OK, 2 rows affected (0.00 sec) Records: 2 Deleted: 0 Skipped: 0 Warnings: 0 mysql>SELECT BIN(b+0) FROM bit_test;
+----------+ | bin(b+0) | +----------+ | 10 | | 1111111 | +----------+ 2 rows in set (0.00 sec)
When the LOAD DATA
INFILE
statement finishes, it returns an information
string in the following format:
Records: 1 Deleted: 0 Skipped: 0 Warnings: 0
If you are using the C API, you can get information about the
statement by calling the
mysql_info()
function. See
Section 21.9.3.35, “mysql_info()
”.
Warnings occur under the same circumstances as when values are
inserted using the INSERT
statement
(see Section 13.2.5, “INSERT
Syntax”), except that
LOAD DATA
INFILE
also generates warnings when there are too few or
too many fields in the input row. The warnings are not stored
anywhere; the number of warnings can be used only as an indication
of whether everything went well.
You can use SHOW WARNINGS
to get a
list of the first max_error_count
warnings as information about what went wrong. See
Section 13.7.5.41, “SHOW WARNINGS
Syntax”.
For partitioned tables using storage engines that employ table
locks, such as MyISAM
, LOAD
DATA
cannot prune any partition locks. This does not
apply to tables using storage engines which employ row-level
locking, such as InnoDB
. For more
information, see
Section 17.6.4, “Partitioning and Locking”.
LOAD XML [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name
' [REPLACE | IGNORE] INTO TABLE [db_name
.]tbl_name
[PARTITION (partition_name
,...)] [CHARACTER SETcharset_name
] [ROWS IDENTIFIED BY '<tagname
>'] [IGNOREnumber
{LINES | ROWS}] [(column_or_user_var
,...)] [SETcol_name
=expr
,...]
The LOAD XML
statement reads data
from an XML file into a table. The
file_name
must be given as a literal
string. The tagname
in the optional
ROWS IDENTIFIED BY
clause must also be given as
a literal string, and must be surrounded by angle brackets
(<
and >
).
LOAD XML
acts as the complement of
running the mysql client in XML output mode
(that is, starting the client with the
--xml
option). To write data from a
table to an XML file, use a command such as the following one from
the system shell:
shell> mysql --xml -e 'SELECT * FROM mytable' > file.xml
To read the file back into a table, use
LOAD XML
INFILE
. By default, the <row>
element is considered to be the equivalent of a database table
row; this can be changed using the ROWS IDENTIFIED
BY
clause.
This statement supports three different XML formats:
Column names as attributes and column values as attribute values:
<row
column1
="value1
"column2
="value2
" .../>
Column names as tags and column values as the content of these tags:
<row
> <column1
>value1
</column1
> <column2
>value2
</column2
> </row
>
Column names are the name
attributes of
<field>
tags, and values are the
contents of these tags:
<row> <field name='column1
'>value1
</field> <field name='column2
'>value2
</field> </row>
This is the format used by other MySQL tools, such as mysqldump.
All 3 formats can be used in the same XML file; the import routine automatically detects the format for each row and interprets it correctly. Tags are matched based on the tag or attribute name and the column name.
The following clauses work essentially the same way for
LOAD XML
as they do for
LOAD DATA
:
LOW_PRIORITY
or
CONCURRENT
LOCAL
REPLACE
or
IGNORE
PARTITION
CHARACTER SET
(
column_or_user_var
,...)
SET
See Section 13.2.6, “LOAD DATA INFILE
Syntax”, for more information about these
clauses.
The IGNORE
or number
LINESIGNORE
clause causes the
first number
ROWSnumber
rows in the XML file to be
skipped. It is analogous to the LOAD
DATA
statement's IGNORE ... LINES
clause.
To illustrate how this statement is used, suppose that we have a table created as follows:
USE test; CREATE TABLE person ( person_id INT NOT NULL PRIMARY KEY, fname VARCHAR(40) NULL, lname VARCHAR(40) NULL, created TIMESTAMP );
Suppose further that this table is initially empty.
Now suppose that we have a simple XML file
person.xml
, whose contents are as shown here:
<?xml version="1.0"?> <list> <person person_id="1" fname="Pekka" lname="Nousiainen"/> <person person_id="2" fname="Jonas" lname="Oreland"/> <person person_id="3"><fname>Mikael</fname><lname>Ronström</lname></person> <person person_id="4"><fname>Lars</fname><lname>Thalmann</lname></person> <person><field name="person_id">5</field><field name="fname">Tomas</field><field name="lname">Ulin</field></person> <person><field name="person_id">6</field><field name="fname">Martin</field><field name="lname">Sköld</field></person> </list>
Each of the permissible XML formats discussed previously is represented in this example file.
To import the data in person.xml
into the
person
table, you can use this statement:
mysql>LOAD XML LOCAL INFILE 'person.xml'
->INTO TABLE person
->ROWS IDENTIFIED BY '<person>';
Query OK, 6 rows affected (0.00 sec) Records: 6 Deleted: 0 Skipped: 0 Warnings: 0
Here, we assume that person.xml
is located in
the MySQL data directory. If the file cannot be found, the
following error results:
ERROR 2 (HY000): File '/person.xml' not found (Errcode: 2)
The ROWS IDENTIFIED BY '<person>'
clause
means that each <person>
element in the
XML file is considered equivalent to a row in the table into which
the data is to be imported. In this case, this is the
person
table in the test
database.
As can be seen by the response from the server, 6 rows were
imported into the test.person
table. This can
be verified by a simple SELECT
statement:
mysql> SELECT * FROM person;
+-----------+--------+------------+---------------------+
| person_id | fname | lname | created |
+-----------+--------+------------+---------------------+
| 1 | Pekka | Nousiainen | 2007-07-13 16:18:47 |
| 2 | Jonas | Oreland | 2007-07-13 16:18:47 |
| 3 | Mikael | Ronström | 2007-07-13 16:18:47 |
| 4 | Lars | Thalmann | 2007-07-13 16:18:47 |
| 5 | Tomas | Ulin | 2007-07-13 16:18:47 |
| 6 | Martin | Sköld | 2007-07-13 16:18:47 |
+-----------+--------+------------+---------------------+
6 rows in set (0.00 sec)
This shows, as stated earlier in this section, that any or all of
the 3 permitted XML formats may appear in a single file and be
read in using LOAD XML
.
The inverse of the above operation—that is, dumping MySQL table data into an XML file—can be accomplished using the mysql client from the system shell, as shown here:
The --xml
option causes the
mysql client to use XML formatting for its
output; the -e
option causes the client to
execute the SQL statement immediately following the option.
shell>mysql --xml -e "SELECT * FROM test.person" > person-dump.xml
shell>cat person-dump.xml
<?xml version="1.0"?> <resultset statement="SELECT * FROM test.person" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <row> <field name="person_id">1</field> <field name="fname">Pekka</field> <field name="lname">Nousiainen</field> <field name="created">2007-07-13 16:18:47</field> </row> <row> <field name="person_id">2</field> <field name="fname">Jonas</field> <field name="lname">Oreland</field> <field name="created">2007-07-13 16:18:47</field> </row> <row> <field name="person_id">3</field> <field name="fname">Mikael</field> <field name="lname">Ronström</field> <field name="created">2007-07-13 16:18:47</field> </row> <row> <field name="person_id">4</field> <field name="fname">Lars</field> <field name="lname">Thalmann</field> <field name="created">2007-07-13 16:18:47</field> </row> <row> <field name="person_id">5</field> <field name="fname">Tomas</field> <field name="lname">Ulin</field> <field name="created">2007-07-13 16:18:47</field> </row> <row> <field name="person_id">6</field> <field name="fname">Martin</field> <field name="lname">Sköld</field> <field name="created">2007-07-13 16:18:47</field> </row> </resultset>
You can verify that the dump is valid by creating a copy of the
person
and then importing the dump file into
the new table, like this:
mysql>USE test;
mysql>CREATE TABLE person2 LIKE person;
Query OK, 0 rows affected (0.00 sec) mysql>LOAD XML LOCAL INFILE 'person-dump.xml'
->INTO TABLE person2;
Query OK, 6 rows affected (0.01 sec) Records: 6 Deleted: 0 Skipped: 0 Warnings: 0 mysql>SELECT * FROM person2;
+-----------+--------+------------+---------------------+ | person_id | fname | lname | created | +-----------+--------+------------+---------------------+ | 1 | Pekka | Nousiainen | 2007-07-13 16:18:47 | | 2 | Jonas | Oreland | 2007-07-13 16:18:47 | | 3 | Mikael | Ronström | 2007-07-13 16:18:47 | | 4 | Lars | Thalmann | 2007-07-13 16:18:47 | | 5 | Tomas | Ulin | 2007-07-13 16:18:47 | | 6 | Martin | Sköld | 2007-07-13 16:18:47 | +-----------+--------+------------+---------------------+ 6 rows in set (0.00 sec)
Using a ROWS IDENTIFIED BY
'<
clause, it
is possible to import data from the same XML file into database
tables with different definitions. For this example, suppose that
you have a file named tagname
>'address.xml
which
contains the following XML:
<?xml version="1.0"?> <list> <person person_id="1"> <fname>Robert</fname> <lname>Jones</lname> <address address_id="1" street="Mill Creek Road" zip="45365" city="Sidney"/> <address address_id="2" street="Main Street" zip="28681" city="Taylorsville"/> </person> <person person_id="2"> <fname>Mary</fname> <lname>Smith</lname> <address address_id="3" street="River Road" zip="80239" city="Denver"/> <!-- <address address_id="4" street="North Street" zip="37920" city="Knoxville"/> --> </person> </list>
You can again use the test.person
table as
defined previously in this section, after clearing all the
existing records from the table and then showing its structure as
shown here:
mysql<TRUNCATE person;
Query OK, 0 rows affected (0.04 sec) mysql<SHOW CREATE TABLE person\G
*************************** 1. row *************************** Table: person Create Table: CREATE TABLE `person` ( `person_id` int(11) NOT NULL, `fname` varchar(40) DEFAULT NULL, `lname` varchar(40) DEFAULT NULL, `created` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`person_id`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1 1 row in set (0.00 sec)
Now create an address
table in the
test
database using the following
CREATE TABLE
statement:
CREATE TABLE address ( address_id INT NOT NULL PRIMARY KEY, person_id INT NULL, street VARCHAR(40) NULL, zip INT NULL, city VARCHAR(40) NULL, created TIMESTAMP );
To import the data from the XML file into the
person
table, execute the following
LOAD XML
statement, which specifies
that rows are to be specified by the
<person>
element, as shown here;
mysql>LOAD XML LOCAL INFILE 'address.xml'
->INTO TABLE person
->ROWS IDENTIFIED BY '<person>';
Query OK, 2 rows affected (0.00 sec) Records: 2 Deleted: 0 Skipped: 0 Warnings: 0
You can verify that the records were imported using a
SELECT
statement:
mysql> SELECT * FROM person;
+-----------+--------+-------+---------------------+
| person_id | fname | lname | created |
+-----------+--------+-------+---------------------+
| 1 | Robert | Jones | 2007-07-24 17:37:06 |
| 2 | Mary | Smith | 2007-07-24 17:37:06 |
+-----------+--------+-------+---------------------+
2 rows in set (0.00 sec)
Since the <address>
elements in the XML
file have no corresponding columns in the
person
table, they are skipped.
To import the data from the <address>
elements into the address
table, use the
LOAD XML
statement shown here:
mysql>LOAD XML LOCAL INFILE 'address.xml'
->INTO TABLE address
->ROWS IDENTIFIED BY '<address>';
Query OK, 3 rows affected (0.00 sec) Records: 3 Deleted: 0 Skipped: 0 Warnings: 0
You can see that the data was imported using a
SELECT
statement such as this one:
mysql> SELECT * FROM address;
+------------+-----------+-----------------+-------+--------------+---------------------+
| address_id | person_id | street | zip | city | created |
+------------+-----------+-----------------+-------+--------------+---------------------+
| 1 | 1 | Mill Creek Road | 45365 | Sidney | 2007-07-24 17:37:37 |
| 2 | 1 | Main Street | 28681 | Taylorsville | 2007-07-24 17:37:37 |
| 3 | 2 | River Road | 80239 | Denver | 2007-07-24 17:37:37 |
+------------+-----------+-----------------+-------+--------------+---------------------+
3 rows in set (0.00 sec)
The data from the <address>
element that
is enclosed in XML comments is not imported. However, since there
is a person_id
column in the
address
table, the value of the
person_id
attribute from the parent
<person>
element for each
<address>
is
imported into the address
table.
Security Considerations.
As with the LOAD DATA
statement,
the transfer of the XML file from the client host to the server
host is initiated by the MySQL server. In theory, a patched
server could be built that would tell the client program to
transfer a file of the server's choosing rather than the file
named by the client in the LOAD
XML
statement. Such a server could access any file on
the client host to which the client user has read access.
In a Web environment, clients usually connect to MySQL from a Web
server. A user that can run any command against the MySQL server
can use LOAD XML
LOCAL
to read any files to which the Web server process
has read access. In this environment, the client with respect to
the MySQL server is actually the Web server, not the remote
program being run by the user who connects to the Web server.
You can disable loading of XML files from clients by starting the
server with --local-infile=0
or
--local-infile=OFF
. This option
can also be used when starting the mysql client
to disable LOAD XML
for the
duration of the client session.
To prevent a client from loading XML files from the server, do not
grant the FILE
privilege to the
corresponding MySQL user account, or revoke this privilege if the
client user account already has it.
Revoking the FILE
privilege (or
not granting it in the first place) keeps the user only from
executing the LOAD XML
INFILE
statement (as well as the
LOAD_FILE()
function; it does
not prevent the user from executing
LOAD XML LOCAL
INFILE
. To disallow this statement, you must start the
server or the client with --local-infile=OFF
.
In other words, the FILE
privilege affects only whether the client can read files on the
server; it has no bearing on whether the client can read files
on the local file system.
For partitioned tables using storage engines that employ table
locks, such as MyISAM
, LOAD
XML
cannot prune any partition locks. This does not
apply to tables using storage engines which employ row-level
locking, such as InnoDB
. For more
information, see
Section 17.6.4, “Partitioning and Locking”.
REPLACE [LOW_PRIORITY | DELAYED] [INTO]tbl_name
[PARTITION (partition_name
,...)] [(col_name
,...)] {VALUES | VALUE} ({expr
| DEFAULT},...),(...),...
Or:
REPLACE [LOW_PRIORITY | DELAYED] [INTO]tbl_name
[PARTITION (partition_name
,...)] SETcol_name
={expr
| DEFAULT}, ...
Or:
REPLACE [LOW_PRIORITY | DELAYED] [INTO]tbl_name
[PARTITION (partition_name
,...)] [(col_name
,...)] SELECT ...
REPLACE
works exactly like
INSERT
, except that if an old row
in the table has the same value as a new row for a
PRIMARY KEY
or a UNIQUE
index, the old row is deleted before the new row is inserted. See
Section 13.2.5, “INSERT
Syntax”.
REPLACE
is a MySQL extension to the
SQL standard. It either inserts, or deletes
and inserts. For another MySQL extension to standard
SQL—that either inserts or
updates—see
Section 13.2.5.3, “INSERT ... ON
DUPLICATE KEY UPDATE
Syntax”.
Note that unless the table has a PRIMARY KEY
or
UNIQUE
index, using a
REPLACE
statement makes no sense.
It becomes equivalent to INSERT
,
because there is no index to be used to determine whether a new
row duplicates another.
Values for all columns are taken from the values specified in the
REPLACE
statement. Any missing
columns are set to their default values, just as happens for
INSERT
. You cannot refer to values
from the current row and use them in the new row. If you use an
assignment such as SET
, the reference
to the column name on the right hand side is treated as
col_name
=
col_name
+ 1DEFAULT(
,
so the assignment is equivalent to col_name
)SET
.
col_name
=
DEFAULT(col_name
) + 1
To use REPLACE
, you must have both
the INSERT
and
DELETE
privileges for the table.
Beginning with MySQL 5.6.2, REPLACE
supports
explicit partition selection using the
PARTITION
option with a comma-separated list of
names of partitions, subpartitions, or both. As with
INSERT
, if it is not possible to
insert the new row into any of these partitions or subpartitions,
the REPLACE
statement fails with the error
Found a row not matching the given partition
set. See Section 17.5, “Partition Selection”, for
more information.
The REPLACE
statement returns a
count to indicate the number of rows affected. This is the sum of
the rows deleted and inserted. If the count is 1 for a single-row
REPLACE
, a row was inserted and no
rows were deleted. If the count is greater than 1, one or more old
rows were deleted before the new row was inserted. It is possible
for a single row to replace more than one old row if the table
contains multiple unique indexes and the new row duplicates values
for different old rows in different unique indexes.
The affected-rows count makes it easy to determine whether
REPLACE
only added a row or whether
it also replaced any rows: Check whether the count is 1 (added) or
greater (replaced).
If you are using the C API, the affected-rows count can be
obtained using the
mysql_affected_rows()
function.
Currently, you cannot replace into a table and select from the same table in a subquery.
MySQL uses the following algorithm for
REPLACE
(and LOAD DATA ...
REPLACE
):
Try to insert the new row into the table
While the insertion fails because a duplicate-key error occurs for a primary key or unique index:
Delete from the table the conflicting row that has the duplicate key value
Try again to insert the new row into the table
It is possible that in the case of a duplicate-key error, a
storage engine may perform the REPLACE
as an
update rather than a delete plus insert, but the semantics are the
same. There are no user-visible effects other than a possible
difference in how the storage engine increments
Handler_
status
variables.
xxx
Because the results of REPLACE ... SELECT
statements depend on the ordering of rows from the
SELECT
and this order cannot always
be guaranteed, it is possible when logging these statements for
the master and the slave to diverge. For this reason, in MySQL
5.6.4 and later, REPLACE ... SELECT
statements
are flagged as unsafe for statement-based replication. With this
change, such statements produce a warning in the log when using
the STATEMENT
binary logging mode, and are
logged using the row-based format when using
MIXED
mode. See also
Section 16.1.2.1, “Advantages and Disadvantages of Statement-Based and Row-Based
Replication”.
Prior to MySQL 5.6.6, a REPLACE
that affected a
partitioned table using a storage engine such as
MyISAM
that employs table-level locks
locked all partitions of the table. This was true even for
REPLACE ... PARTITION
statements. (This did not
and does not occur with storage engines such as
InnoDB
that employ row-level
locking.) In MySQL 5.6.6 and later, MySQL uses partition lock
pruning, so that only partitions containing rows matching the
REPLACE
statement's
WHERE
clause are actually locked, as long as
none of the table's partitioning columns are updated;
otherwise the entire table is locked. For more information, see
Section 17.6.4, “Partitioning and Locking”.
SELECT [ALL | DISTINCT | DISTINCTROW ] [HIGH_PRIORITY] [STRAIGHT_JOIN] [SQL_SMALL_RESULT] [SQL_BIG_RESULT] [SQL_BUFFER_RESULT] [SQL_CACHE | SQL_NO_CACHE] [SQL_CALC_FOUND_ROWS]select_expr
[,select_expr
...] [FROMtable_references
[PARTITIONpartition_list
] [WHEREwhere_condition
] [GROUP BY {col_name
|expr
|position
} [ASC | DESC], ... [WITH ROLLUP]] [HAVINGwhere_condition
] [ORDER BY {col_name
|expr
|position
} [ASC | DESC], ...] [LIMIT {[offset
,]row_count
|row_count
OFFSEToffset
}] [PROCEDUREprocedure_name
(argument_list
)] [INTO OUTFILE 'file_name
' [CHARACTER SETcharset_name
]export_options
| INTO DUMPFILE 'file_name
' | INTOvar_name
[,var_name
]] [FOR UPDATE | LOCK IN SHARE MODE]]
SELECT
is used to retrieve rows
selected from one or more tables, and can include
UNION
statements and subqueries.
See Section 13.2.9.4, “UNION
Syntax”, and Section 13.2.10, “Subquery Syntax”.
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 13.2.9.2, “JOIN
Syntax”.
Starting in MySQL 5.6.2, SELECT
supports
explicit partition selection using the
PARTITION
keyword with a list of partitions
or subpartitions (or both) following the name of the table in
a table_reference
(see
Section 13.2.9.2, “JOIN
Syntax”). 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 17.5, “Partition Selection”.
In MySQL 5.6.6 and later, SELECT ...
PARTITION
from tables using storage engines such as
MyISAM
that perform table-level
locks (and thus partition locks) lock only the partitions or
subpartitions named by the PARTITION
option.
See Section 17.6.4, “Partitioning and Locking”, for more information.
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 (summary) functions. See
Section 9.5, “Expression Syntax”, and
Chapter 12, Functions and Operators.
SELECT
can also be used to retrieve
rows computed without reference to any table.
For example:
mysql> SELECT 1 + 1;
-> 2
You are permitted to specify DUAL
as a dummy
table name in situations where no tables are referenced:
mysql> SELECT 1 + 1 FROM DUAL;
-> 2
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 exception is that the
INTO
clause can appear either as shown in the
syntax description or immediately following the
select_expr
list. For more information
about INTO
, see Section 13.2.9.1, “SELECT ... INTO
Syntax”.
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 ...
can
be used as a qualified shorthand to select all columns from
the named table:
tbl_name
.*
SELECT t1.*, t2.* FROM t1 INNER JOIN t2 ...
Use of an unqualified *
with other items in
the select list may produce a parse error. To avoid this
problem, use a qualified
reference
tbl_name
.*
SELECT AVG(score), t1.* FROM t1 ...
The following list provides additional information about other
SELECT
clauses:
A select_expr
can be given an alias
using AS
. The alias is
used as the expression's column name and can be used in
alias_name
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 C.5.5.4, “Problems with Column Aliases”.
The FROM
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 13.2.9.2, “table_references
JOIN
Syntax”. For
each table specified, you can optionally specify an alias.
tbl_name
[[AS]alias
] [index_hint
]
The use of index hints provides the optimizer with information about how to choose indexes during query processing. For a description of the syntax for specifying these hints, see Section 13.2.9.3, “Index Hint Syntax”.
You can use SET
max_seeks_for_key=
as an alternative way to force MySQL to prefer key scans
instead of table scans. See
Section 5.1.4, “Server System Variables”.
value
You can refer to a table within the default database as
tbl_name
, or as
db_name
.tbl_name
to specify a database explicitly. You can refer to a column as
col_name
,
tbl_name
.col_name
,
or
db_name
.tbl_name
.col_name
.
You need not specify a tbl_name
or
db_name
.tbl_name
prefix for a column reference unless the reference would be
ambiguous. See Section 9.2.1, “Identifier Qualifiers”, for
examples of ambiguity that require the more explicit column
reference forms.
A table reference can be aliased using
or
tbl_name
AS
alias_name
tbl_name alias_name
:
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 subquery and
also is applied in the outer query, the outermost
ORDER BY
takes precedence. For example,
results for the following statement are sorted in descending
order, not ascending order:
(SELECT ... ORDER BY a) ORDER BY a DESC;
Use of column positions is deprecated because the syntax has been removed from the SQL standard.
If you use GROUP BY
, output rows are sorted
according to the GROUP BY
columns as if you
had an ORDER BY
for the same columns. To
avoid the overhead of sorting that GROUP BY
produces, add ORDER BY NULL
:
SELECT a, COUNT(b) FROM test_table GROUP BY a ORDER BY NULL;
MySQL extends the GROUP BY
clause so that
you can also specify ASC
and
DESC
after columns named in the clause:
SELECT a, COUNT(b) FROM test_table GROUP BY a DESC;
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 12.16, “Functions and Modifiers for Use with GROUP BY
Clauses”.
GROUP BY
permits a WITH
ROLLUP
modifier. See
Section 12.16.2, “GROUP BY
Modifiers”.
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
output 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:
SELECTcol_name
FROMtbl_name
HAVINGcol_name
> 0;
Write this instead:
SELECTcol_name
FROMtbl_name
WHEREcol_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
.
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
is equivalent
to row_count
LIMIT 0,
.
row_count
For prepared statements, you can use placeholders. The
following statements will return one row from the
tbl
table:
SET @a=1; PREPARE STMT FROM 'SELECT * FROM tbl LIMIT ?'; EXECUTE STMT USING @a;
The following statements will return the second to sixth row
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
syntax.
row_count
OFFSET
offset
If LIMIT
occurs within a subquery and also
is applied in the outer query, the outermost
LIMIT
takes precedence. For example, the
following statement produces two rows, not one:
(SELECT ... LIMIT 1) LIMIT 2;
A PROCEDURE
clause names a procedure that
should process the data in the result set. For an example, see
Section 8.4.2.4, “Using PROCEDURE ANALYSE
”, which describes
ANALYSE
, a procedure that can be used to
obtain suggestions for optimal column data types that may help
reduce table sizes.
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 13.2.9.1, “SELECT ... INTO
Syntax”.
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. Using
LOCK IN SHARE MODE
sets a shared lock that
permits other transactions to read the examined rows but not
to update or delete them. See
Section 14.2.4.4, “Locking Reads (SELECT ... FOR
UPDATE
and
SELECT ... LOCK IN SHARE
MODE
)”.
In addition, you cannot use FOR UPDATE
as
part of the SELECT
in a
statement such as
CREATE
TABLE
. (If you
attempt to do so, the statement is rejected with the error
Can't update table
'new_table
SELECT ... FROM
old_table
...old_table
' while
'new_table
' is being
created.) This is a change in behavior from MySQL
5.5 and earlier, which permitted
CREATE
TABLE ... SELECT
statements to make changes in
tables other than the table being created.
Following the SELECT
keyword, you
can use a number of options that affect the operation of the
statement. HIGH_PRIORITY
,
STRAIGHT_JOIN
, and options beginning with
SQL_
are MySQL extensions to standard SQL.
The ALL
and DISTINCT
options 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
options. DISTINCTROW
is a synonym for
DISTINCT
.
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 13.2.9.2, “JOIN
Syntax”.
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 will appear first in the query plan
displayed by EXPLAIN
. See
Section 8.8.1, “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 needed, and
prefers sorting to using a temporary table with a key on the
GROUP BY
elements. For
SQL_SMALL_RESULT
, MySQL uses fast 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 option 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 12.14, “Information Functions”.
The SQL_CACHE
and
SQL_NO_CACHE
options affect caching of
query results in the query cache (see
Section 8.9.3, “The MySQL Query Cache”). SQL_CACHE
tells MySQL to store the result in the query cache if it is
cacheable and the value of the
query_cache_type
system
variable is 2
or DEMAND
.
SQL_NO_CACHE
tells MySQL not to store the
result in the query cache.
For views, SQL_NO_CACHE
applies if it
appears in any SELECT
in the
query. For a cacheable query, SQL_CACHE
applies if it appears in the first
SELECT
of a view referred to by
the query.
In MySQL 5.6, these two options are mutually
exclusive and an error occurs if they are both specified.
Also, these options are not permitted in subqueries (including
subqueries in the FROM
clause), and
SELECT
statements in unions
other than the first SELECT
.
Prior to MySQL 5.6.6, a SELECT
from a
partitioned table using a storage engine such as
MyISAM
that employs table-level locks
locked all partitions of the table. This was true even for
SELECT ... PARTITION
queries. (This did not and
does not occur with storage engines such as
InnoDB
that employ row-level
locking.) In MySQL 5.6.6 and later, MySQL uses partition lock
pruning, so that only partitions containing rows matching the
SELECT
statement's
WHERE
clause are actually locked. For more
information, see
Section 17.6.4, “Partitioning and Locking”.
The SELECT ...
INTO
form of SELECT
enables a query result to be written to a file or stored in
variables:
SELECT ... INTO OUTFILE
writes the
selected rows to a file. Column and line terminators can be
specified to produce a specific output format.
SELECT ... INTO DUMPFILE
writes a single
row to a file without any formatting.
SELECT ... INTO
selects column
values and into variables.
var_list
The SELECT
syntax description
(see Section 13.2.9, “SELECT
Syntax”) shows the INTO
clause near the end of the statement. It is also possible to use
INTO
immediately following the
select_expr
list.
The SELECT ... INTO
OUTFILE '
form of
file_name
'SELECT
writes the selected rows
to a file. The file is created on the server host, so you must
have the FILE
privilege to use
this syntax. file_name
cannot be an
existing file, which among other things prevents files such as
/etc/passwd
and database tables from being
destroyed. The
character_set_filesystem
system
variable controls the interpretation of the file name.
The SELECT ... INTO
OUTFILE
statement is intended primarily to let you
very quickly dump a table to a text file on the server machine.
If you want to create the resulting file on some other host than
the server host, you normally cannot use
SELECT ... INTO
OUTFILE
since there is no way to write a path to the
file relative to the server host's file system.
However, if the MySQL client software is installed on the remote
machine, you can instead use a client command such as
mysql -e "SELECT ..." >
to generate the
file on the client host.
file_name
It is also possible to create the resulting file on a different host other than the server host, if the location of the file on the remote host can be accessed using a network-mapped path on the server's file system. In this case, the presence of mysql (or some other MySQL client program) is not required on the target host.
SELECT ... INTO
OUTFILE
is the complement of
LOAD DATA
INFILE
. Column values are written converted to the
character set specified in the CHARACTER SET
clause. If no such clause is present, values are dumped using
the binary
character set. In effect, there is
no character set conversion. If a result set contains columns in
several character sets, the output data file will as well and
you may not be able to reload the file correctly.
The syntax for the export_options
part of the statement consists of the same
FIELDS
and LINES
clauses
that are used with the
LOAD DATA
INFILE
statement. See Section 13.2.6, “LOAD DATA INFILE
Syntax”, for
information about the FIELDS
and
LINES
clauses, including their default values
and permissible values.
FIELDS ESCAPED BY
controls how to write
special characters. If the FIELDS ESCAPED BY
character is not empty, it is used when necessary to avoid
ambiguity as a prefix that precedes following characters on
output:
The FIELDS ESCAPED BY
character
The FIELDS [OPTIONALLY] ENCLOSED BY
character
The first character of the FIELDS TERMINATED
BY
and LINES TERMINATED BY
values
ASCII NUL
(the zero-valued byte; what is
actually written following the escape character is ASCII
“0
”, not a zero-valued byte)
The FIELDS TERMINATED BY
, ENCLOSED
BY
, ESCAPED BY
, or LINES
TERMINATED BY
characters must be
escaped so that you can read the file back in reliably. ASCII
NUL
is escaped to make it easier to view with
some pagers.
The resulting file does not have to conform to SQL syntax, so nothing else need be escaped.
If the FIELDS ESCAPED BY
character is empty,
no characters are escaped and NULL
is output
as NULL
, not \N
. It is
probably not a good idea to specify an empty escape character,
particularly if field values in your data contain any of the
characters in the list just given.
Here is an example that produces a file in the comma-separated values (CSV) format used by many programs:
SELECT a,b,a+b INTO OUTFILE '/tmp/result.txt' FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n' FROM test_table;
If you use INTO DUMPFILE
instead of
INTO OUTFILE
, MySQL writes only one row into
the file, without any column or line termination and without
performing any escape processing. This is useful if you want to
store a BLOB
value in a file.
Any file created by INTO OUTFILE
or
INTO DUMPFILE
is writable by all users on
the server host. The reason for this is that the MySQL server
cannot create a file that is owned by anyone other than the
user under whose account it is running. (You should
never run mysqld as
root
for this and other reasons.) The file
thus must be world-writable so that you can manipulate its
contents.
If the secure_file_priv
system variable is set to a nonempty directory name, the file
to be written must be located in that directory.
The INTO
clause can name a list of one or
more variables, which can be user-defined variables, stored
procedure or function parameters, or stored program local
variables (see Section 13.6.4, “Variables in Stored Programs”). The
selected values are assigned to the variables. The number of
variables must match the number of columns. The query should
return a single row. If the query returns no rows, a warning
with error code 1329 occurs (No data
), and
the variable values remain unchanged. If the query returns
multiple rows, error 1172 occurs (Result consisted of
more than one row
). If it is possible that the
statement may retrieve multiple rows, you can use LIMIT
1
to limit the result set to a single row.
SELECT id, data INTO @x, @y FROM test.t1 LIMIT 1;
User variable names are not case sensitive. See Section 9.4, “User-Defined Variables”.
In the context of such statements that occur as part of events executed by the Event Scheduler, diagnostics messages (not only errors, but also warnings) are written to the error log, and, on Windows, to the application event log. For additional information, see Section 18.4.5, “Event Scheduler Status”.
An INTO
clause should not be used in a nested
SELECT
because such a
SELECT
must return its result to
the outer context.
MySQL supports the following JOIN
syntaxes
for the table_references
part of
SELECT
statements and
multiple-table DELETE
and
UPDATE
statements:
table_references:
table_reference
[,table_reference
] ...table_reference
:table_factor
|join_table
table_factor
:tbl_name
[PARTITION (partition_names
)] [[AS]alias
] [index_hint_list
] |table_subquery
[AS]alias
| (table_references
) | { OJtable_reference
LEFT OUTER JOINtable_reference
ONconditional_expr
}join_table
:table_reference
[INNER | CROSS] JOINtable_factor
[join_condition
] |table_reference
STRAIGHT_JOINtable_factor
|table_reference
STRAIGHT_JOINtable_factor
ONconditional_expr
|table_reference
{LEFT|RIGHT} [OUTER] JOINtable_reference
join_condition
|table_reference
NATURAL [{LEFT|RIGHT} [OUTER]] JOINtable_factor
join_condition
: ONconditional_expr
| USING (column_list
)index_hint_list
:index_hint
[,index_hint
] ...index_hint
: USE {INDEX|KEY} [FOR {JOIN|ORDER BY|GROUP BY}] ([index_list
]) | IGNORE {INDEX|KEY} [FOR {JOIN|ORDER BY|GROUP BY}] (index_list
) | FORCE {INDEX|KEY} [FOR {JOIN|ORDER BY|GROUP BY}] (index_list
)index_list
:index_name
[,index_name
] ...
A table reference is also known as a join expression.
In MySQL 5.6.2 and later, a table reference (when it refers to a
partitioned table) may contain a PARTITION
option, including a comma-separated list of partitions,
subpartitions, or both. This option follows the name of the
table and precedes any alias declaration. The effect of this
option is that rows are selected only from the listed partitions
or subpartitions—in other words, any partitions or
subpartitions not named in the list are ignored For more
information, see Section 17.5, “Partition Selection”.
The syntax of table_factor
is
extended in comparison with the SQL Standard. The latter accepts
only table_reference
, not a list of
them inside a pair of parentheses.
This is a conservative extension if we consider each comma in a
list of table_reference
items as
equivalent to an inner join. For example:
SELECT * FROM t1 LEFT JOIN (t2, t3, t4) ON (t2.a=t1.a AND t3.b=t1.b AND t4.c=t1.c)
is equivalent to:
SELECT * FROM t1 LEFT JOIN (t2 CROSS JOIN t3 CROSS JOIN t4) ON (t2.a=t1.a AND t3.b=t1.b AND t4.c=t1.c)
In MySQL, JOIN
, CROSS
JOIN
, and INNER JOIN
are syntactic
equivalents (they can replace each other). In standard SQL, they
are not equivalent. INNER JOIN
is used with
an ON
clause, CROSS JOIN
is used otherwise.
In general, parentheses can be ignored in join expressions containing only inner join operations. MySQL also supports nested joins (see Section 8.13.8, “Nested Join Optimization”).
Index hints can be specified to affect how the MySQL optimizer makes use of indexes. For more information, see Section 13.2.9.3, “Index Hint Syntax”.
The following list describes general factors to take into account when writing joins.
A table reference can be aliased using
or
tbl_name
AS
alias_name
tbl_name alias_name
:
SELECT t1.name, t2.salary FROM employee AS t1 INNER JOIN info AS t2 ON t1.name = t2.name; SELECT t1.name, t2.salary FROM employee t1 INNER JOIN info t2 ON t1.name = t2.name;
A table_subquery
is also known as
a subquery in the FROM
clause. Such
subqueries must include an alias to
give the subquery result a table name. A trivial example
follows; see also Section 13.2.10.8, “Subqueries in the FROM
Clause”.
SELECT * FROM (SELECT 1, 2, 3) AS t1;
INNER JOIN
and ,
(comma) are semantically equivalent in the absence of a join
condition: both produce a Cartesian product between the
specified tables (that is, each and every row in the first
table is joined to each and every row in the second table).
However, the precedence of the comma operator is less than
of INNER JOIN
, CROSS
JOIN
, LEFT JOIN
, and so on. If
you mix comma joins with the other join types when there is
a join condition, an error of the form Unknown
column '
may occur. Information about dealing with
this problem is given later in this section.
col_name
' in 'on
clause'
The conditional_expr
used with
ON
is any conditional expression of the
form that can be used in a WHERE
clause.
Generally, you should use the ON
clause
for conditions that specify how to join tables, and the
WHERE
clause to restrict which rows you
want in the result set.
If there is no matching row for the right table in the
ON
or USING
part in a
LEFT JOIN
, a row with all columns set to
NULL
is used for the right table. You can
use this fact to find rows in a table that have no
counterpart in another table:
SELECT left_tbl.* FROM left_tbl LEFT JOIN right_tbl ON left_tbl.id = right_tbl.id WHERE right_tbl.id IS NULL;
This example finds all rows in left_tbl
with an id
value that is not present in
right_tbl
(that is, all rows in
left_tbl
with no corresponding row in
right_tbl
). This assumes that
right_tbl.id
is declared NOT
NULL
. See
Section 8.13.6, “LEFT JOIN
and RIGHT JOIN
Optimization”.
The
USING(
clause names a list of columns that must exist in both
tables. If tables column_list
)a
and
b
both contain columns
c1
, c2
, and
c3
, the following join compares
corresponding columns from the two tables:
a LEFT JOIN b USING (c1,c2,c3)
The NATURAL [LEFT] JOIN
of two tables is
defined to be semantically equivalent to an INNER
JOIN
or a LEFT JOIN
with a
USING
clause that names all columns that
exist in both tables.
RIGHT JOIN
works analogously to
LEFT JOIN
. To keep code portable across
databases, it is recommended that you use LEFT
JOIN
instead of RIGHT JOIN
.
The { OJ ... LEFT OUTER JOIN ...}
syntax
shown in the join syntax description exists only for
compatibility with ODBC. The curly braces in the syntax
should be written literally; they are not metasyntax as used
elsewhere in syntax descriptions.
SELECT left_tbl.* FROM { OJ left_tbl LEFT OUTER JOIN right_tbl ON left_tbl.id = right_tbl.id } WHERE right_tbl.id IS NULL;
You can use other types of joins within { OJ ...
}
, such as INNER JOIN
or
RIGHT OUTER JOIN
. This helps with
compatibility with some third-party applications, but is not
official ODBC syntax.
STRAIGHT_JOIN
is similar to
JOIN
, except that the left table is
always read before the right table. This can be used for
those (few) cases for which the join optimizer puts the
tables in the wrong order.
Some join examples:
SELECT * FROM table1, table2; SELECT * FROM table1 INNER JOIN table2 ON table1.id=table2.id; SELECT * FROM table1 LEFT JOIN table2 ON table1.id=table2.id; SELECT * FROM table1 LEFT JOIN table2 USING (id); SELECT * FROM table1 LEFT JOIN table2 ON table1.id=table2.id LEFT JOIN table3 ON table2.id=table3.id;
Join Processing Changes in MySQL 5.0.12
Natural joins and joins with USING
,
including outer join variants, are processed according to the
SQL:2003 standard. The goal was to align the syntax and
semantics of MySQL with respect to NATURAL
JOIN
and JOIN ... USING
according
to SQL:2003. However, these changes in join processing can
result in different output columns for some joins. Also, some
queries that appeared to work correctly in older versions
(prior to 5.0.12) must be rewritten to comply with the
standard.
These changes have five main aspects:
The way that MySQL determines the result columns of
NATURAL
or USING
join
operations (and thus the result of the entire
FROM
clause).
Expansion of SELECT *
and SELECT
into a list
of selected columns.
tbl_name
.*
Resolution of column names in NATURAL
or
USING
joins.
Transformation of NATURAL
or
USING
joins into JOIN ...
ON
.
Resolution of column names in the ON
condition of a JOIN ... ON
.
The following list provides more detail about several effects of current join processing versus join processing in older versions. The term “previously” means “prior to MySQL 5.0.12.”
The columns of a NATURAL
join or a
USING
join may be different from
previously. Specifically, redundant output columns no longer
appear, and the order of columns for SELECT
*
expansion may be different from before.
Consider this set of statements:
CREATE TABLE t1 (i INT, j INT); CREATE TABLE t2 (k INT, j INT); INSERT INTO t1 VALUES(1,1); INSERT INTO t2 VALUES(1,1); SELECT * FROM t1 NATURAL JOIN t2; SELECT * FROM t1 JOIN t2 USING (j);
Previously, the statements produced this output:
+------+------+------+------+ | i | j | k | j | +------+------+------+------+ | 1 | 1 | 1 | 1 | +------+------+------+------+ +------+------+------+------+ | i | j | k | j | +------+------+------+------+ | 1 | 1 | 1 | 1 | +------+------+------+------+
In the first SELECT
statement, column j
appears in both
tables and thus becomes a join column, so, according to
standard SQL, it should appear only once in the output, not
twice. Similarly, in the second SELECT statement, column
j
is named in the
USING
clause and should appear only once
in the output, not twice. But in both cases, the redundant
column is not eliminated. Also, the order of the columns is
not correct according to standard SQL.
Now the statements produce this output:
+------+------+------+ | j | i | k | +------+------+------+ | 1 | 1 | 1 | +------+------+------+ +------+------+------+ | j | i | k | +------+------+------+ | 1 | 1 | 1 | +------+------+------+
The redundant column is eliminated and the column order is correct according to standard SQL:
First, coalesced common columns of the two joined tables, in the order in which they occur in the first table
Second, columns unique to the first table, in order in which they occur in that table
Third, columns unique to the second table, in order in which they occur in that table
The single result column that replaces two common columns is
defined using the coalesce operation. That is, for two
t1.a
and t2.a
the
resulting single join column a
is defined
as a = COALESCE(t1.a, t2.a)
, where:
COALESCE(x, y) = (CASE WHEN V1 IS NOT NULL THEN V1 ELSE V2 END)
If the join operation is any other join, the result columns of the join consists of the concatenation of all columns of the joined tables. This is the same as previously.
A consequence of the definition of coalesced columns is
that, for outer joins, the coalesced column contains the
value of the non-NULL
column if one of
the two columns is always NULL
. If
neither or both columns are NULL
, both
common columns have the same value, so it doesn't matter
which one is chosen as the value of the coalesced column. A
simple way to interpret this is to consider that a coalesced
column of an outer join is represented by the common column
of the inner table of a JOIN
. Suppose
that the tables t1(a,b)
and
t2(a,c)
have the following contents:
t1 t2 ---- ---- 1 x 2 z 2 y 3 w
Then:
mysql> SELECT * FROM t1 NATURAL LEFT JOIN t2;
+------+------+------+
| a | b | c |
+------+------+------+
| 1 | x | NULL |
| 2 | y | z |
+------+------+------+
Here column a
contains the values of
t1.a
.
mysql> SELECT * FROM t1 NATURAL RIGHT JOIN t2;
+------+------+------+
| a | c | b |
+------+------+------+
| 2 | z | y |
| 3 | w | NULL |
+------+------+------+
Here column a
contains the values of
t2.a
.
Compare these results to the otherwise equivalent queries
with JOIN ... ON
:
mysql> SELECT * FROM t1 LEFT JOIN t2 ON (t1.a = t2.a);
+------+------+------+------+
| a | b | a | c |
+------+------+------+------+
| 1 | x | NULL | NULL |
| 2 | y | 2 | z |
+------+------+------+------+
mysql> SELECT * FROM t1 RIGHT JOIN t2 ON (t1.a = t2.a);
+------+------+------+------+
| a | b | a | c |
+------+------+------+------+
| 2 | y | 2 | z |
| NULL | NULL | 3 | w |
+------+------+------+------+
Previously, a USING
clause could be
rewritten as an ON
clause that compares
corresponding columns. For example, the following two
clauses were semantically identical:
a LEFT JOIN b USING (c1,c2,c3) a LEFT JOIN b ON a.c1=b.c1 AND a.c2=b.c2 AND a.c3=b.c3
Now the two clauses no longer are quite the same:
With respect to determining which rows satisfy the join condition, both joins remain semantically identical.
With respect to determining which columns to display for
SELECT *
expansion, the two joins are
not semantically identical. The USING
join selects the coalesced value of corresponding
columns, whereas the ON
join selects
all columns from all tables. For the preceding
USING
join, SELECT
*
selects these values:
COALESCE(a.c1,b.c1), COALESCE(a.c2,b.c2), COALESCE(a.c3,b.c3)
For the ON
join, SELECT
*
selects these values:
a.c1, a.c2, a.c3, b.c1, b.c2, b.c3
With an inner join,
COALESCE(a.c1,b.c1)
is
the same as either a.c1
or
b.c1
because both columns will have
the same value. With an outer join (such as
LEFT JOIN
), one of the two columns
can be NULL
. That column will be
omitted from the result.
The evaluation of multi-way natural joins differs in a very
important way that affects the result of
NATURAL
or USING
joins
and that can require query rewriting. Suppose that you have
three tables t1(a,b)
,
t2(c,b)
, and t3(a,c)
that each have one row: t1(1,2)
,
t2(10,2)
, and
t3(7,10)
. Suppose also that you have this
NATURAL JOIN
on the three tables:
SELECT ... FROM t1 NATURAL JOIN t2 NATURAL JOIN t3;
Previously, the left operand of the second join was
considered to be t2
, whereas it should be
the nested join (t1 NATURAL JOIN t2)
. As
a result, the columns of t3
are checked
for common columns only in t2
, and, if
t3
has common columns with
t1
, these columns are not used as
equi-join columns. Thus, previously, the preceding query was
transformed to the following equi-join:
SELECT ... FROM t1, t2, t3 WHERE t1.b = t2.b AND t2.c = t3.c;
That join is missing one more equi-join predicate
(t1.a = t3.a)
. As a result, it produces
one row, not the empty result that it should. The correct
equivalent query is this:
SELECT ... FROM t1, t2, t3 WHERE t1.b = t2.b AND t2.c = t3.c AND t1.a = t3.a;
If you require the same query result in current versions of MySQL as in older versions, rewrite the natural join as the first equi-join.
Previously, the comma operator (,
) and
JOIN
both had the same precedence, so the
join expression t1, t2 JOIN t3
was
interpreted as ((t1, t2) JOIN t3)
. Now
JOIN
has higher precedence, so the
expression is interpreted as (t1, (t2 JOIN
t3))
. This change affects statements that use an
ON
clause, because that clause can refer
only to columns in the operands of the join, and the change
in precedence changes interpretation of what those operands
are.
Example:
CREATE TABLE t1 (i1 INT, j1 INT); CREATE TABLE t2 (i2 INT, j2 INT); CREATE TABLE t3 (i3 INT, j3 INT); INSERT INTO t1 VALUES(1,1); INSERT INTO t2 VALUES(1,1); INSERT INTO t3 VALUES(1,1); SELECT * FROM t1, t2 JOIN t3 ON (t1.i1 = t3.i3);
Previously, the SELECT
was
legal due to the implicit grouping of
t1,t2
as (t1,t2)
. Now
the JOIN
takes precedence, so the
operands for the ON
clause are
t2
and t3
. Because
t1.i1
is not a column in either of the
operands, the result is an Unknown column 't1.i1'
in 'on clause'
error. To allow the join to be
processed, group the first two tables explicitly with
parentheses so that the operands for the
ON
clause are (t1,t2)
and t3
:
SELECT * FROM (t1, t2) JOIN t3 ON (t1.i1 = t3.i3);
Alternatively, avoid the use of the comma operator and use
JOIN
instead:
SELECT * FROM t1 JOIN t2 JOIN t3 ON (t1.i1 = t3.i3);
This change also applies to statements that mix the comma
operator with INNER JOIN
, CROSS
JOIN
, LEFT JOIN
, and
RIGHT JOIN
, all of which now have higher
precedence than the comma operator.
Previously, the ON
clause could refer to
columns in tables named to its right. Now an
ON
clause can refer only to its operands.
Example:
CREATE TABLE t1 (i1 INT); CREATE TABLE t2 (i2 INT); CREATE TABLE t3 (i3 INT); SELECT * FROM t1 JOIN t2 ON (i1 = i3) JOIN t3;
Previously, the SELECT
statement was legal. Now the statement fails with an
Unknown column 'i3' in 'on clause'
error
because i3
is a column in
t3
, which is not an operand of the
ON
clause. The statement should be
rewritten as follows:
SELECT * FROM t1 JOIN t2 JOIN t3 ON (i1 = i3);
Resolution of column names in NATURAL
or
USING
joins is different than previously.
For column names that are outside the
FROM
clause, MySQL now handles a superset
of the queries compared to previously. That is, in cases
when MySQL formerly issued an error that some column is
ambiguous, the query now is handled correctly. This is due
to the fact that MySQL now treats the common columns of
NATURAL
or USING
joins
as a single column, so when a query refers to such columns,
the query compiler does not consider them as ambiguous.
Example:
SELECT * FROM t1 NATURAL JOIN t2 WHERE b > 1;
Previously, this query would produce an error ERROR
1052 (23000): Column 'b' in where clause is
ambiguous
. Now the query produces the correct
result:
+------+------+------+ | b | c | y | +------+------+------+ | 4 | 2 | 3 | +------+------+------+
One extension of MySQL compared to the SQL:2003 standard is
that MySQL enables you to qualify the common (coalesced)
columns of NATURAL
or
USING
joins (just as previously), while
the standard disallows that.
You can provide hints to give the optimizer information about
how to choose indexes during query processing.
Section 13.2.9.2, “JOIN
Syntax”, describes the general syntax for
specifying tables in a SELECT
statement. The syntax for an individual table, including that
for index hints, looks like this:
tbl_name
[[AS]alias
] [index_hint_list
]index_hint_list
:index_hint
[,index_hint
] ...index_hint
: USE {INDEX|KEY} [FOR {JOIN|ORDER BY|GROUP BY}] ([index_list
]) | IGNORE {INDEX|KEY} [FOR {JOIN|ORDER BY|GROUP BY}] (index_list
) | FORCE {INDEX|KEY} [FOR {JOIN|ORDER BY|GROUP BY}] (index_list
)index_list
:index_name
[,index_name
] ...
By specifying USE INDEX
(
, you can tell
MySQL to use only one of the named indexes to find rows in the
table. The alternative syntax index_list
)IGNORE INDEX
(
can be used to
tell MySQL to not use some particular index or indexes. These
hints are useful if index_list
)EXPLAIN
shows
that MySQL is using the wrong index from the list of possible
indexes.
You can also use FORCE INDEX
, which acts like
USE INDEX
(
but with the
addition that a table scan is assumed to be
very expensive. In other words, a table
scan is used only if there is no way to use one of the given
indexes to find rows in the table.
index_list
)
Each hint requires the names of indexes,
not the names of columns. The name of a PRIMARY
KEY
is PRIMARY
. To see the index
names for a table, use SHOW
INDEX
.
An index_name
value need not be a
full index name. It can be an unambiguous prefix of an index
name. If a prefix is ambiguous, an error occurs.
Examples:
SELECT * FROM table1 USE INDEX (col1_index,col2_index) WHERE col1=1 AND col2=2 AND col3=3; SELECT * FROM table1 IGNORE INDEX (col3_index) WHERE col1=1 AND col2=2 AND col3=3;
The syntax for index hints has the following characteristics:
It is syntactically valid to specify an empty
index_list
for USE
INDEX
, which means “use no indexes.”
Specifying an empty index_list
for FORCE INDEX
or IGNORE
INDEX
is a syntax error.
You can specify the scope of a index hint by adding a
FOR
clause to the hint. This provides
more fine-grained control over the optimizer's selection of
an execution plan for various phases of query processing. To
affect only the indexes used when MySQL decides how to find
rows in the table and how to process joins, use FOR
JOIN
. To influence index usage for sorting or
grouping rows, use FOR ORDER BY
or
FOR GROUP BY
. (However, if there is a
covering index for the table and it is used to access the
table, the optimizer will ignore IGNORE INDEX FOR
{ORDER BY|GROUP BY}
hints that disable that
index.)
You can specify multiple index hints:
SELECT * FROM t1 USE INDEX (i1) IGNORE INDEX FOR ORDER BY (i2) ORDER BY a;
It is not a error to name the same index in several hints (even within the same hint):
SELECT * FROM t1 USE INDEX (i1) USE INDEX (i1,i1);
However, it is an error to mix USE INDEX
and FORCE INDEX
for the same table:
SELECT * FROM t1 USE INDEX FOR JOIN (i1) FORCE INDEX FOR JOIN (i2);
if you specify no FOR
clause for an index
hint, the hint by default applies to all parts of the statement.
For example, this hint:
IGNORE INDEX (i1)
is equivalent to this combination of hints:
IGNORE INDEX FOR JOIN (i1) IGNORE INDEX FOR ORDER BY (i1) IGNORE INDEX FOR GROUP BY (i1)
To cause the server to use the older behavior for hint scope
when no FOR
clause is present (so that hints
apply only to row retrieval), enable the
old
system variable at server
startup. Take care about enabling this variable in a replication
setup. With statement-based binary logging, having different
modes for the master and slaves might lead to replication
errors.
When index hints are processed, they are collected in a single
list by type (USE
,
FORCE
, IGNORE
) and by
scope (FOR JOIN
, FOR ORDER
BY
, FOR GROUP BY
). For example:
SELECT * FROM t1 USE INDEX () IGNORE INDEX (i2) USE INDEX (i1) USE INDEX (i2);
is equivalent to:
SELECT * FROM t1 USE INDEX (i1,i2) IGNORE INDEX (i2);
The index hints then are applied for each scope in the following order:
{USE|FORCE} INDEX
is applied if present.
(If not, the optimizer-determined set of indexes is used.)
IGNORE INDEX
is applied over the result
of the previous step. For example, the following two queries
are equivalent:
SELECT * FROM t1 USE INDEX (i1) IGNORE INDEX (i2) USE INDEX (i2); SELECT * FROM t1 USE INDEX (i1);
For FULLTEXT
searches, index hints work as
follows:
For natural language mode searches, index hints are silently
ignored. For example, IGNORE INDEX(i)
is
ignored with no warning and the index is still used.
For boolean mode searches, index hints with FOR
ORDER BY
or FOR GROUP BY
are
silently ignored. Index hints with FOR
JOIN
or no FOR
modifier are
honored. In contrast to how hints apply for
non-FULLTEXT
searches, the hint is used
for all phases of query execution (finding rows and
retrieval, grouping, and ordering). This is true even if the
hint is given for a non-FULLTEXT
index.
For example, the following two queries are equivalent:
SELECT * FROM t USE INDEX (index1) IGNORE INDEX (index1) FOR ORDER BY IGNORE INDEX (index1) FOR GROUP BY WHERE ... IN BOOLEAN MODE ... ; SELECT * FROM t USE INDEX (index1) WHERE ... IN BOOLEAN MODE ... ;
SELECT ... UNION [ALL | DISTINCT] SELECT ... [UNION [ALL | DISTINCT] SELECT ...]
UNION
is used to combine the
result from multiple SELECT
statements into a single result set.
The column names from the first
SELECT
statement are used as the
column names for the results returned. Selected columns listed
in corresponding positions of each
SELECT
statement should have the
same data type. (For example, the first column selected by the
first statement should have the same type as the first column
selected by the other statements.)
If the data types of corresponding
SELECT
columns do not match, the
types and lengths of the columns in the
UNION
result take into account
the values retrieved by all of the
SELECT
statements. For example,
consider the following:
mysql> SELECT REPEAT('a',1) UNION SELECT REPEAT('b',10);
+---------------+
| REPEAT('a',1) |
+---------------+
| a |
| bbbbbbbbbb |
+---------------+
The SELECT
statements are normal
select statements, but with the following restrictions:
Only the last SELECT
statement can use INTO OUTFILE
. (However,
the entire UNION
result is
written to the file.)
HIGH_PRIORITY
cannot be used with
SELECT
statements that are
part of a UNION
. If you
specify it for the first
SELECT
, it has no effect. If
you specify it for any subsequent
SELECT
statements, a syntax
error results.
The default behavior for UNION
is
that duplicate rows are removed from the result. The optional
DISTINCT
keyword has no effect other than the
default because it also specifies duplicate-row removal. With
the optional ALL
keyword, duplicate-row
removal does not occur and the result includes all matching rows
from all the SELECT
statements.
You can mix UNION
ALL
and UNION
DISTINCT
in the same query. Mixed
UNION
types are treated such that
a DISTINCT
union overrides any
ALL
union to its left. A
DISTINCT
union can be produced explicitly by
using UNION
DISTINCT
or implicitly by using
UNION
with no following
DISTINCT
or ALL
keyword.
To apply ORDER BY
or LIMIT
to an individual SELECT
, place
the clause inside the parentheses that enclose the
SELECT
:
(SELECT a FROM t1 WHERE a=10 AND B=1 ORDER BY a LIMIT 10) UNION (SELECT a FROM t2 WHERE a=11 AND B=2 ORDER BY a LIMIT 10);
However, use of ORDER BY
for individual
SELECT
statements implies nothing
about the order in which the rows appear in the final result
because UNION
by default produces
an unordered set of rows. Therefore, the use of ORDER
BY
in this context is typically in conjunction with
LIMIT
, so that it is used to determine the
subset of the selected rows to retrieve for the
SELECT
, even though it does not
necessarily affect the order of those rows in the final
UNION
result. If ORDER
BY
appears without LIMIT
in a
SELECT
, it is optimized away
because it will have no effect anyway.
To use an ORDER BY
or
LIMIT
clause to sort or limit the entire
UNION
result, parenthesize the
individual SELECT
statements and
place the ORDER BY
or
LIMIT
after the last one. The following
example uses both clauses:
(SELECT a FROM t1 WHERE a=10 AND B=1) UNION (SELECT a FROM t2 WHERE a=11 AND B=2) ORDER BY a LIMIT 10;
A statement without parentheses is equivalent to one parenthesized as just shown.
This kind of ORDER BY
cannot use column
references that include a table name (that is, names in
tbl_name
.col_name
format). Instead, provide a column alias in the first
SELECT
statement and refer to the
alias in the ORDER BY
. (Alternatively, refer
to the column in the ORDER BY
using its
column position. However, use of column positions is
deprecated.)
Also, if a column to be sorted is aliased, the ORDER
BY
clause must refer to the
alias, not the column name. The first of the following
statements will work, but the second will fail with an
Unknown column 'a' in 'order clause'
error:
(SELECT a AS b FROM t) UNION (SELECT ...) ORDER BY b; (SELECT a AS b FROM t) UNION (SELECT ...) ORDER BY a;
To cause rows in a UNION
result
to consist of the sets of rows retrieved by each
SELECT
one after the other,
select an additional column in each
SELECT
to use as a sort column
and add an ORDER BY
following the last
SELECT
:
(SELECT 1 AS sort_col, col1a, col1b, ... FROM t1) UNION (SELECT 2, col2a, col2b, ... FROM t2) ORDER BY sort_col;
To additionally maintain sort order within individual
SELECT
results, add a secondary
column to the ORDER BY
clause:
(SELECT 1 AS sort_col, col1a, col1b, ... FROM t1) UNION (SELECT 2, col2a, col2b, ... FROM t2) ORDER BY sort_col, col1a;
Use of an additional column also enables you to determine which
SELECT
each row comes from. Extra
columns can provide other identifying information as well, such
as a string that indicates a table name.
ANY
, IN
, or
SOME
ALL
EXISTS
or NOT
EXISTS
FROM
Clause
A subquery is a SELECT
statement
within another statement.
Starting with MySQL 4.1, all subquery forms and operations that the SQL standard requires are supported, as well as a few features that are MySQL-specific.
Here is an example of a subquery:
SELECT * FROM t1 WHERE column1 = (SELECT column1 FROM t2);
In this example, SELECT * FROM t1 ...
is the
outer query (or outer
statement), and (SELECT column1 FROM
t2)
is the subquery. We say that
the subquery is nested within the outer
query, and in fact it is possible to nest subqueries within other
subqueries, to a considerable depth. A subquery must always appear
within parentheses.
The main advantages of subqueries are:
They allow queries that are structured so that it is possible to isolate each part of a statement.
They provide alternative ways to perform operations that would otherwise require complex joins and unions.
Many people find subqueries more readable than complex joins or unions. Indeed, it was the innovation of subqueries that gave people the original idea of calling the early SQL “Structured Query Language.”
Here is an example statement that shows the major points about subquery syntax as specified by the SQL standard and supported in MySQL:
DELETE FROM t1 WHERE s11 > ANY (SELECT COUNT(*) /* no hint */ FROM t2 WHERE NOT EXISTS (SELECT * FROM t3 WHERE ROW(5*t2.s1,77)= (SELECT 50,11*s1 FROM t4 UNION SELECT 50,77 FROM (SELECT * FROM t5) AS t5)));
A subquery can return a scalar (a single value), a single row, a single column, or a table (one or more rows of one or more columns). These are called scalar, column, row, and table subqueries. Subqueries that return a particular kind of result often can be used only in certain contexts, as described in the following sections.
There are few restrictions on the type of statements in which
subqueries can be used. A subquery can contain many of the
keywords or clauses that an ordinary
SELECT
can contain:
DISTINCT
, GROUP BY
,
ORDER BY
, LIMIT
, joins,
index hints, UNION
constructs,
comments, functions, and so on.
A subquery's outer statement can be any one of:
SELECT
,
INSERT
,
UPDATE
,
DELETE
,
SET
, or
DO
.
In MySQL, you cannot modify a table and select from the same table
in a subquery. This applies to statements such as
DELETE
,
INSERT
,
REPLACE
,
UPDATE
, and (because subqueries can
be used in the SET
clause)
LOAD DATA
INFILE
.
For information about how the optimizer handles subqueries, see Section 8.13.15, “Subquery Optimization”. For a discussion of restrictions on subquery use, including performance issues for certain forms of subquery syntax, see Section E.4, “Restrictions on Subqueries”.
In its simplest form, a subquery is a scalar subquery that
returns a single value. A scalar subquery is a simple operand,
and you can use it almost anywhere a single column value or
literal is legal, and you can expect it to have those
characteristics that all operands have: a data type, a length,
an indication that it can be NULL
, and so on.
For example:
CREATE TABLE t1 (s1 INT, s2 CHAR(5) NOT NULL); INSERT INTO t1 VALUES(100, 'abcde'); SELECT (SELECT s2 FROM t1);
The subquery in this SELECT
returns a single value ('abcde'
) that has a
data type of CHAR
, a length of 5,
a character set and collation equal to the defaults in effect at
CREATE TABLE
time, and an
indication that the value in the column can be
NULL
. Nullability of the value selected by a
scalar subquery is not copied because if the subquery result is
empty, the result is NULL
. For the subquery
just shown, if t1
were empty, the result
would be NULL
even though
s2
is NOT NULL
.
There are a few contexts in which a scalar subquery cannot be
used. If a statement permits only a literal value, you cannot
use a subquery. For example, LIMIT
requires
literal integer arguments, and
LOAD DATA
INFILE
requires a literal string file name. You cannot
use subqueries to supply these values.
When you see examples in the following sections that contain the
rather spartan construct (SELECT column1 FROM
t1)
, imagine that your own code contains much more
diverse and complex constructions.
Suppose that we make two tables:
CREATE TABLE t1 (s1 INT); INSERT INTO t1 VALUES (1); CREATE TABLE t2 (s1 INT); INSERT INTO t2 VALUES (2);
Then perform a SELECT
:
SELECT (SELECT s1 FROM t2) FROM t1;
The result is 2
because there is a row in
t2
containing a column s1
that has a value of 2
.
A scalar subquery can be part of an expression, but remember the parentheses, even if the subquery is an operand that provides an argument for a function. For example:
SELECT UPPER((SELECT s1 FROM t1)) FROM t2;
The most common use of a subquery is in the form:
non_subquery_operand
comparison_operator
(subquery
)
Where comparison_operator
is one of
these operators:
= > < >= <= <> != <=>
For example:
... WHERE 'a' = (SELECT column1 FROM t1)
MySQL also permits this construct:
non_subquery_operand
LIKE (subquery
)
At one time the only legal place for a subquery was on the right side of a comparison, and you might still find some old DBMSs that insist on this.
Here is an example of a common-form subquery comparison that you
cannot do with a join. It finds all the rows in table
t1
for which the column1
value is equal to a maximum value in table
t2
:
SELECT * FROM t1 WHERE column1 = (SELECT MAX(column2) FROM t2);
Here is another example, which again is impossible with a join
because it involves aggregating for one of the tables. It finds
all rows in table t1
containing a value that
occurs twice in a given column:
SELECT * FROM t1 AS t WHERE 2 = (SELECT COUNT(*) FROM t1 WHERE t1.id = t.id);
For a comparison of the subquery to a scalar, the subquery must return a scalar. For a comparison of the subquery to a row constructor, the subquery must be a row subquery that returns a row with the same number of values as the row constructor. See Section 13.2.10.5, “Row Subqueries”.
Syntax:
operand
comparison_operator
ANY (subquery
)operand
IN (subquery
)operand
comparison_operator
SOME (subquery
)
Where comparison_operator
is one of
these operators:
= > < >= <= <> !=
The ANY
keyword, which must follow a
comparison operator, means “return TRUE
if the comparison is TRUE
for
ANY
of the values in the column that the
subquery returns.” For example:
SELECT s1 FROM t1 WHERE s1 > ANY (SELECT s1 FROM t2);
Suppose that there is a row in table t1
containing (10)
. The expression is
TRUE
if table t2
contains
(21,14,7)
because there is a value
7
in t2
that is less than
10
. The expression is
FALSE
if table t2
contains
(20,10)
, or if table t2
is
empty. The expression is unknown (that is,
NULL
) if table t2
contains
(NULL,NULL,NULL)
.
When used with a subquery, the word IN
is an
alias for = ANY
. Thus, these two statements
are the same:
SELECT s1 FROM t1 WHERE s1 = ANY (SELECT s1 FROM t2); SELECT s1 FROM t1 WHERE s1 IN (SELECT s1 FROM t2);
IN
and = ANY
are not
synonyms when used with an expression list.
IN
can take an expression list, but
= ANY
cannot. See
Section 12.3.2, “Comparison Functions and Operators”.
NOT IN
is not an alias for <>
ANY
, but for <> ALL
. See
Section 13.2.10.4, “Subqueries with ALL
”.
The word SOME
is an alias for
ANY
. Thus, these two statements are the same:
SELECT s1 FROM t1 WHERE s1 <> ANY (SELECT s1 FROM t2); SELECT s1 FROM t1 WHERE s1 <> SOME (SELECT s1 FROM t2);
Use of the word SOME
is rare, but this
example shows why it might be useful. To most people, the
English phrase “a is not equal to any b” means
“there is no b which is equal to a,” but that is
not what is meant by the SQL syntax. The syntax means
“there is some b to which a is not equal.” Using
<> SOME
instead helps ensure that
everyone understands the true meaning of the query.
Syntax:
operand
comparison_operator
ALL (subquery
)
The word ALL
, which must follow a comparison
operator, means “return TRUE
if the
comparison is TRUE
for ALL
of the values in the column that the subquery returns.”
For example:
SELECT s1 FROM t1 WHERE s1 > ALL (SELECT s1 FROM t2);
Suppose that there is a row in table t1
containing (10)
. The expression is
TRUE
if table t2
contains
(-5,0,+5)
because 10
is
greater than all three values in t2
. The
expression is FALSE
if table
t2
contains
(12,6,NULL,-100)
because there is a single
value 12
in table t2
that
is greater than 10
. The expression is
unknown (that is, NULL
)
if table t2
contains
(0,NULL,1)
.
Finally, the expression is TRUE
if table
t2
is empty. So, the following expression is
TRUE
when table t2
is
empty:
SELECT * FROM t1 WHERE 1 > ALL (SELECT s1 FROM t2);
But this expression is NULL
when table
t2
is empty:
SELECT * FROM t1 WHERE 1 > (SELECT s1 FROM t2);
In addition, the following expression is NULL
when table t2
is empty:
SELECT * FROM t1 WHERE 1 > ALL (SELECT MAX(s1) FROM t2);
In general, tables containing NULL
values and empty tables are
“edge cases.” When writing subqueries, always
consider whether you have taken those two possibilities into
account.
NOT IN
is an alias for <>
ALL
. Thus, these two statements are the same:
SELECT s1 FROM t1 WHERE s1 <> ALL (SELECT s1 FROM t2); SELECT s1 FROM t1 WHERE s1 NOT IN (SELECT s1 FROM t2);
The discussion to this point has been of scalar or column subqueries; that is, subqueries that return a single value or a column of values. A row subquery is a subquery variant that returns a single row and can thus return more than one column value. Legal operators for row subquery comparisons are:
= > < >= <= <> != <=>
Here are two examples:
SELECT * FROM t1 WHERE (col1,col2) = (SELECT col3, col4 FROM t2 WHERE id = 10); SELECT * FROM t1 WHERE ROW(col1,col2) = (SELECT col3, col4 FROM t2 WHERE id = 10);
For both queries, if the table t2
contains a
single row with id = 10
, the subquery returns
a single row. If this row has col3
and
col4
values equal to the
col1
and col2
values of
any rows in t1
, the WHERE
expression is TRUE
and each query returns
those t1
rows. If the t2
row col3
and col4
values
are not equal the col1
and
col2
values of any t1
row,
the expression is FALSE
and the query returns
an empty result set. The expression is
unknown (that is, NULL
)
if the subquery produces no rows. An error occurs if the
subquery produces multiple rows because a row subquery can
return at most one row.
The expressions (1,2)
and
ROW(1,2)
are sometimes called row
constructors. The two are equivalent. The row
constructor and the row returned by the subquery must contain
the same number of values.
A row constructor is used for comparisons with subqueries that return two or more columns. When a subquery returns a single column, this is regarded as a scalar value and not as a row, so a row constructor cannot be used with a subquery that does not return at least two columns. Thus, the following query fails with a syntax error:
SELECT * FROM t1 WHERE ROW(1) = (SELECT column1 FROM t2)
Row constructors are legal in other contexts. For example, the following two statements are semantically equivalent (and are handled in the same way by the optimizer):
SELECT * FROM t1 WHERE (column1,column2) = (1,1); SELECT * FROM t1 WHERE column1 = 1 AND column2 = 1;
The following query answers the request, “find all rows in
table t1
that also exist in table
t2
”:
SELECT column1,column2,column3 FROM t1 WHERE (column1,column2,column3) IN (SELECT column1,column2,column3 FROM t2);
If a subquery returns any rows at all, EXISTS
is
subquery
TRUE
, and NOT EXISTS
is
subquery
FALSE
. For example:
SELECT column1 FROM t1 WHERE EXISTS (SELECT * FROM t2);
Traditionally, an EXISTS
subquery starts with
SELECT *
, but it could begin with
SELECT 5
or SELECT column1
or anything at all. MySQL ignores the
SELECT
list in such a subquery,
so it makes no difference.
For the preceding example, if t2
contains any
rows, even rows with nothing but NULL
values,
the EXISTS
condition is
TRUE
. This is actually an unlikely example
because a [NOT] EXISTS
subquery almost always
contains correlations. Here are some more realistic examples:
What kind of store is present in one or more cities?
SELECT DISTINCT store_type FROM stores WHERE EXISTS (SELECT * FROM cities_stores WHERE cities_stores.store_type = stores.store_type);
What kind of store is present in no cities?
SELECT DISTINCT store_type FROM stores WHERE NOT EXISTS (SELECT * FROM cities_stores WHERE cities_stores.store_type = stores.store_type);
What kind of store is present in all cities?
SELECT DISTINCT store_type FROM stores s1 WHERE NOT EXISTS ( SELECT * FROM cities WHERE NOT EXISTS ( SELECT * FROM cities_stores WHERE cities_stores.city = cities.city AND cities_stores.store_type = stores.store_type));
The last example is a double-nested NOT
EXISTS
query. That is, it has a NOT
EXISTS
clause within a NOT EXISTS
clause. Formally, it answers the question “does a city
exist with a store that is not in
Stores
”? But it is easier to say that
a nested NOT EXISTS
answers the question
“is x
TRUE
for all y
?”
A correlated subquery is a subquery that contains a reference to a table that also appears in the outer query. For example:
SELECT * FROM t1 WHERE column1 = ANY (SELECT column1 FROM t2 WHERE t2.column2 = t1.column2);
Notice that the subquery contains a reference to a column of
t1
, even though the subquery's
FROM
clause does not mention a table
t1
. So, MySQL looks outside the subquery, and
finds t1
in the outer query.
Suppose that table t1
contains a row where
column1 = 5
and column2 =
6
; meanwhile, table t2
contains a
row where column1 = 5
and column2 =
7
. The simple expression ... WHERE column1 =
ANY (SELECT column1 FROM t2)
would be
TRUE
, but in this example, the
WHERE
clause within the subquery is
FALSE
(because (5,6)
is
not equal to (5,7)
), so the expression as a
whole is FALSE
.
Scoping rule: MySQL evaluates from inside to outside. For example:
SELECT column1 FROM t1 AS x WHERE x.column1 = (SELECT column1 FROM t2 AS x WHERE x.column1 = (SELECT column1 FROM t3 WHERE x.column2 = t3.column1));
In this statement, x.column2
must be a column
in table t2
because SELECT column1
FROM t2 AS x ...
renames t2
. It is
not a column in table t1
because
SELECT column1 FROM t1 ...
is an outer query
that is farther out.
For subqueries in HAVING
or ORDER
BY
clauses, MySQL also looks for column names in the
outer select list.
For certain cases, a correlated subquery is optimized. For example:
val
IN (SELECTkey_val
FROMtbl_name
WHEREcorrelated_condition
)
Otherwise, they are inefficient and likely to be slow. Rewriting the query as a join might improve performance.
Aggregate functions in correlated subqueries may contain outer references, provided the function contains nothing but outer references, and provided the function is not contained in another function or expression.
Subqueries are legal in a SELECT
statement's FROM
clause. The actual syntax
is:
SELECT ... FROM (subquery
) [AS]name
...
The [AS]
clause is mandatory, because every table in a
name
FROM
clause must have a name. Any columns in
the subquery
select list must have
unique names.
For the sake of illustration, assume that you have this table:
CREATE TABLE t1 (s1 INT, s2 CHAR(5), s3 FLOAT);
Here is how to use a subquery in the FROM
clause, using the example table:
INSERT INTO t1 VALUES (1,'1',1.0); INSERT INTO t1 VALUES (2,'2',2.0); SELECT sb1,sb2,sb3 FROM (SELECT s1 AS sb1, s2 AS sb2, s3*2 AS sb3 FROM t1) AS sb WHERE sb1 > 1;
Result: 2, '2', 4.0
.
Here is another example: Suppose that you want to know the average of a set of sums for a grouped table. This does not work:
SELECT AVG(SUM(column1)) FROM t1 GROUP BY column1;
However, this query provides the desired information:
SELECT AVG(sum_column1) FROM (SELECT SUM(column1) AS sum_column1 FROM t1 GROUP BY column1) AS t1;
Notice that the column name used within the subquery
(sum_column1
) is recognized in the outer
query.
Subqueries in the FROM
clause can return a
scalar, column, row, or table. Subqueries in the
FROM
clause cannot be correlated subqueries,
unless used within the ON
clause of a
JOIN
operation.
Before MySQL 5.6.3, subqueries in the FROM
clause are executed even for the
EXPLAIN
statement (that is,
derived temporary tables are materialized). This occurs because
upper-level queries need information about all tables during the
optimization phase, and the table represented by a subquery in
the FROM
clause is unavailable unless the
subquery is executed. As of MySQL 5.6.3, the optimizer
determines information about derived tables in a different way
and materialization of them does not occur for
EXPLAIN
. See
Section 8.13.15.3, “Optimizing Subqueries in the FROM
Clause (Derived
Tables)”.
It is possible under certain circumstances to modify table data
using EXPLAIN
SELECT
. This can occur if the outer query accesses any
tables and an inner query invokes a stored function that changes
one or more rows of a table. Suppose that there are two tables
t1
and t2
in database
d1
, created as shown here:
mysql>CREATE DATABASE d1;
Query OK, 1 row affected (0.00 sec) mysql>USE d1;
Database changed mysql>CREATE TABLE t1 (c1 INT);
Query OK, 0 rows affected (0.15 sec) mysql>CREATE TABLE t2 (c1 INT);
Query OK, 0 rows affected (0.08 sec)
Now we create a stored function f1
which
modifies t2
:
mysql>DELIMITER //
mysql>CREATE FUNCTION f1(p1 INT) RETURNS INT
mysql>BEGIN
mysql>INSERT INTO t2 VALUES (p1);
mysql>RETURN p1;
mysql>END //
Query OK, 0 rows affected (0.01 sec) mysql>DELIMITER ;
Referencing the function directly in an
EXPLAIN
SELECT
does not have any effect on
t2
, as shown here:
mysql>SELECT * FROM t2;
Empty set (0.00 sec) mysql>EXPLAIN SELECT f1(5);
+----+-------------+-------+------+---------------+------+---------+------+------+----------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+------+---------------+------+---------+------+------+----------------+ | 1 | SIMPLE | NULL | NULL | NULL | NULL | NULL | NULL | NULL | No tables used | +----+-------------+-------+------+---------------+------+---------+------+------+----------------+ 1 row in set (0.00 sec) mysql>SELECT * FROM t2;
Empty set (0.00 sec)
This is because the SELECT
statement did not reference any tables, as can be seen in the
table
and Extra
columns of
the output. This is also true of the following nested
SELECT
:
mysql>EXPLAIN SELECT NOW() AS a1, (SELECT f1(5)) AS a2;
+----+-------------+-------+------+---------------+------+---------+------+------+----------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+------+---------------+------+---------+------+------+----------------+ | 1 | PRIMARY | NULL | NULL | NULL | NULL | NULL | NULL | NULL | No tables used | +----+-------------+-------+------+---------------+------+---------+------+------+----------------+ 1 row in set, 1 warning (0.00 sec) mysql>SHOW WARNINGS;
+-------+------+------------------------------------------+ | Level | Code | Message | +-------+------+------------------------------------------+ | Note | 1249 | Select 2 was reduced during optimization | +-------+------+------------------------------------------+ 1 row in set (0.00 sec) mysql>SELECT * FROM t2;
Empty set (0.00 sec)
However, if the outer SELECT
references any tables, the optimizer executes the statement in
the subquery as well:
mysql>EXPLAIN SELECT * FROM t1 AS a1, (SELECT f1(5)) AS a2;
+----+-------------+------------+--------+---------------+------+---------+------+------+---------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+------------+--------+---------------+------+---------+------+------+---------------------+ | 1 | PRIMARY | a1 | system | NULL | NULL | NULL | NULL | 0 | const row not found | | 1 | PRIMARY | <derived2> | system | NULL | NULL | NULL | NULL | 1 | | | 2 | DERIVED | NULL | NULL | NULL | NULL | NULL | NULL | NULL | No tables used | +----+-------------+------------+--------+---------------+------+---------+------+------+---------------------+ 3 rows in set (0.00 sec) mysql>SELECT * FROM t2;
+------+ | c1 | +------+ | 5 | +------+ 1 row in set (0.00 sec)
This also means that an
EXPLAIN
SELECT
statement such as the one shown here may take a
long time to execute because the
BENCHMARK()
function is executed
once for each row in t1
:
EXPLAIN SELECT * FROM t1 AS a1, (SELECT BENCHMARK(1000000, MD5(NOW())));
There are some errors that apply only to subqueries. This section describes them.
Unsupported subquery syntax:
ERROR 1235 (ER_NOT_SUPPORTED_YET) SQLSTATE = 42000 Message = "This version of MySQL doesn't yet support 'LIMIT & IN/ALL/ANY/SOME subquery'"
This means that MySQL does not support statements of the following form:
SELECT * FROM t1 WHERE s1 IN (SELECT s2 FROM t2 ORDER BY s1 LIMIT 1)
Incorrect number of columns from subquery:
ERROR 1241 (ER_OPERAND_COL) SQLSTATE = 21000 Message = "Operand should contain 1 column(s)"
This error occurs in cases like this:
SELECT (SELECT column1, column2 FROM t2) FROM t1;
You may use a subquery that returns multiple columns, if the purpose is row comparison. In other contexts, the subquery must be a scalar operand. See Section 13.2.10.5, “Row Subqueries”.
Incorrect number of rows from subquery:
ERROR 1242 (ER_SUBSELECT_NO_1_ROW) SQLSTATE = 21000 Message = "Subquery returns more than 1 row"
This error occurs for statements where the subquery must return at most one row but returns multiple rows. Consider the following example:
SELECT * FROM t1 WHERE column1 = (SELECT column1 FROM t2);
If SELECT column1 FROM t2
returns just
one row, the previous query will work. If the subquery
returns more than one row, error 1242 will occur. In that
case, the query should be rewritten as:
SELECT * FROM t1 WHERE column1 = ANY (SELECT column1 FROM t2);
Incorrectly used table in subquery:
Error 1093 (ER_UPDATE_TABLE_USED) SQLSTATE = HY000 Message = "You can't specify target table 'x' for update in FROM clause"
This error occurs in cases such as the following, which attempts to modify a table and select from the same table in the subquery:
UPDATE t1 SET column2 = (SELECT MAX(column1) FROM t1);
You can use a subquery for assignment within an
UPDATE
statement because
subqueries are legal in
UPDATE
and
DELETE
statements as well as
in SELECT
statements.
However, you cannot use the same table (in this case, table
t1
) for both the subquery
FROM
clause and the update target.
For transactional storage engines, the failure of a subquery causes the entire statement to fail. For nontransactional storage engines, data modifications made before the error was encountered are preserved.
Development is ongoing, so no optimization tip is reliable for the long term. The following list provides some interesting tricks that you might want to play with:
Use subquery clauses that affect the number or order of the rows in the subquery. For example:
SELECT * FROM t1 WHERE t1.column1 IN (SELECT column1 FROM t2 ORDER BY column1); SELECT * FROM t1 WHERE t1.column1 IN (SELECT DISTINCT column1 FROM t2); SELECT * FROM t1 WHERE EXISTS (SELECT * FROM t2 LIMIT 1);
Replace a join with a subquery. For example, try this:
SELECT DISTINCT column1 FROM t1 WHERE t1.column1 IN ( SELECT column1 FROM t2);
Instead of this:
SELECT DISTINCT t1.column1 FROM t1, t2 WHERE t1.column1 = t2.column1;
Some subqueries can be transformed to joins for compatibility with older versions of MySQL that do not support subqueries. However, in some cases, converting a subquery to a join may improve performance. See Section 13.2.10.11, “Rewriting Subqueries as Joins”.
Move clauses from outside to inside the subquery. For example, use this query:
SELECT * FROM t1 WHERE s1 IN (SELECT s1 FROM t1 UNION ALL SELECT s1 FROM t2);
Instead of this query:
SELECT * FROM t1 WHERE s1 IN (SELECT s1 FROM t1) OR s1 IN (SELECT s1 FROM t2);
For another example, use this query:
SELECT (SELECT column1 + 5 FROM t1) FROM t2;
Instead of this query:
SELECT (SELECT column1 FROM t1) + 5 FROM t2;
Use a row subquery instead of a correlated subquery. For example, use this query:
SELECT * FROM t1 WHERE (column1,column2) IN (SELECT column1,column2 FROM t2);
Instead of this query:
SELECT * FROM t1 WHERE EXISTS (SELECT * FROM t2 WHERE t2.column1=t1.column1 AND t2.column2=t1.column2);
Use NOT (a = ANY (...))
rather than
a <> ALL (...)
.
Use x = ANY (
rather than table containing
(1,2)
)x=1 OR
x=2
.
Use = ANY
rather than
EXISTS
.
For uncorrelated subqueries that always return one row,
IN
is always slower than
=
. For example, use this query:
SELECT * FROM t1 WHERE t1.col_name
= (SELECT a FROM t2 WHERE b =some_const
);
Instead of this query:
SELECT * FROM t1 WHERE t1.col_name
IN (SELECT a FROM t2 WHERE b =some_const
);
These tricks might cause programs to go faster or slower. Using
MySQL facilities like the
BENCHMARK()
function, you can get
an idea about what helps in your own situation. See
Section 12.14, “Information Functions”.
Some optimizations that MySQL itself makes are:
MySQL executes uncorrelated subqueries only once. Use
EXPLAIN
to make sure that a
given subquery really is uncorrelated.
MySQL rewrites IN
,
ALL
, ANY
, and
SOME
subqueries in an attempt to take
advantage of the possibility that the select-list columns in
the subquery are indexed.
MySQL replaces subqueries of the following form with an
index-lookup function, which
EXPLAIN
describes as a
special join type
(unique_subquery
or
index_subquery
):
... IN (SELECTindexed_column
FROMsingle_table
...)
MySQL enhances expressions of the following form with an
expression involving MIN()
or
MAX()
, unless
NULL
values or empty sets are involved:
value
{ALL|ANY|SOME} {> | < | >= | <=} (uncorrelated subquery
)
For example, this WHERE
clause:
WHERE 5 > ALL (SELECT x FROM t)
might be treated by the optimizer like this:
WHERE 5 > (SELECT MAX(x) FROM t)
Sometimes there are other ways to test membership in a set of
values than by using a subquery. Also, on some occasions, it is
not only possible to rewrite a query without a subquery, but it
can be more efficient to make use of some of these techniques
rather than to use subqueries. One of these is the
IN()
construct:
For example, this query:
SELECT * FROM t1 WHERE id IN (SELECT id FROM t2);
Can be rewritten as:
SELECT DISTINCT t1.* FROM t1, t2 WHERE t1.id=t2.id;
The queries:
SELECT * FROM t1 WHERE id NOT IN (SELECT id FROM t2); SELECT * FROM t1 WHERE NOT EXISTS (SELECT id FROM t2 WHERE t1.id=t2.id);
Can be rewritten as:
SELECT table1.* FROM table1 LEFT JOIN table2 ON table1.id=table2.id WHERE table2.id IS NULL;
A LEFT [OUTER] JOIN
can be faster than an
equivalent subquery because the server might be able to optimize
it better—a fact that is not specific to MySQL Server
alone. Prior to SQL-92, outer joins did not exist, so subqueries
were the only way to do certain things. Today, MySQL Server and
many other modern database systems offer a wide range of outer
join types.
MySQL Server supports multiple-table
DELETE
statements that can be
used to efficiently delete rows based on information from one
table or even from many tables at the same time. Multiple-table
UPDATE
statements are also
supported. See Section 13.2.2, “DELETE
Syntax”, and
Section 13.2.11, “UPDATE
Syntax”.
Single-table syntax:
UPDATE [LOW_PRIORITY] [IGNORE]table_reference
SETcol_name1
={expr1
|DEFAULT} [,col_name2
={expr2
|DEFAULT}] ... [WHEREwhere_condition
] [ORDER BY ...] [LIMITrow_count
]
Multiple-table syntax:
UPDATE [LOW_PRIORITY] [IGNORE]table_references
SETcol_name1
={expr1
|DEFAULT} [,col_name2
={expr2
|DEFAULT}] ... [WHEREwhere_condition
]
For the single-table syntax, the
UPDATE
statement updates columns of
existing rows in the named table with new values. The
SET
clause indicates which columns to modify
and the values they should be given. Each value can be given as an
expression, or the keyword DEFAULT
to set a
column explicitly to its default value. The
WHERE
clause, if given, specifies the
conditions that identify which rows to update. With no
WHERE
clause, all rows are updated. If the
ORDER BY
clause is specified, the rows are
updated in the order that is specified. The
LIMIT
clause places a limit on the number of
rows that can be updated.
For the multiple-table syntax,
UPDATE
updates rows in each table
named in table_references
that satisfy
the conditions. In this case, ORDER BY
and
LIMIT
cannot be used.
For partitioned tables, both the single-single and multiple-table
forms of this statement support the use of a
PARTITION
option as part of a table reference.
This option takes a list of one or more partitions or
subpartitions (or both). Only the partitions (or subpartitions)
listed are checked for matches, and a row that is not in any of
these partitions or subpartitions is not updated, whether it
satisfies the where_condition
or not.
Unlike the case when using PARTITION
with an
INSERT
or
REPLACE
statement, an otherwise
valid UPDATE ... PARTITION
statement is
considered successful even if no rows in the listed partitions
(or subpartitions) match the
where_condition
.
See Section 17.5, “Partition Selection”, for more information and examples.
where_condition
is an expression that
evaluates to true for each row to be updated. For expression
syntax, see Section 9.5, “Expression Syntax”.
table_references
and
where_condition
are is specified as
described in Section 13.2.9, “SELECT
Syntax”.
You need the UPDATE
privilege only
for columns referenced in an UPDATE
that are actually updated. You need only the
SELECT
privilege for any columns
that are read but not modified.
The UPDATE
statement supports the
following modifiers:
With the LOW_PRIORITY
keyword, execution of
the UPDATE
is delayed until no
other clients are reading from the table. This affects only
storage engines that use only table-level locking (such as
MyISAM
, MEMORY
, and
MERGE
).
With the IGNORE
keyword, the update
statement does not abort even if errors occur during the
update. Rows for which duplicate-key conflicts occur are not
updated. Rows for which columns are updated to values that
would cause data conversion errors are updated to the closest
valid values instead.
In MySQL 5.6.4 and later,
UPDATE IGNORE
statements, including those having an ORDER BY
clause, are flagged as unsafe for statement-based replication.
(This is because the order in which the rows are updated
determines which rows are ignored.) With this change, such
statements produce a warning in the log when using statement-based
mode and are logged using the row-based format when using
MIXED
mode. (Bug #11758262, Bug #50439) See
Section 16.1.2.3, “Determination of Safe and Unsafe Statements in Binary Logging”, for more
information.
If you access a column from the table to be updated in an
expression, UPDATE
uses the current
value of the column. For example, the following statement sets
col1
to one more than its current value:
UPDATE t1 SET col1 = col1 + 1;
The second assignment in the following statement sets
col2
to the current (updated)
col1
value, not the original
col1
value. The result is that
col1
and col2
have the same
value. This behavior differs from standard SQL.
UPDATE t1 SET col1 = col1 + 1, col2 = col1;
Single-table UPDATE
assignments are
generally evaluated from left to right. For multiple-table
updates, there is no guarantee that assignments are carried out in
any particular order.
If you set a column to the value it currently has, MySQL notices this and does not update it.
If you update a column that has been declared NOT
NULL
by setting to NULL
, an error
occurs if strict SQL mode is enabled; otherwise, the column is set
to the implicit default value for the column data type and the
warning count is incremented. The implicit default value is
0
for numeric types, the empty string
(''
) for string types, and the
“zero” value for date and time types. See
Section 11.5, “Data Type Default Values”.
UPDATE
returns the number of rows
that were actually changed. The
mysql_info()
C API function
returns the number of rows that were matched and updated and the
number of warnings that occurred during the
UPDATE
.
You can use LIMIT
to restrict the
scope of the row_count
UPDATE
. A
LIMIT
clause is a rows-matched restriction. The
statement stops as soon as it has found
row_count
rows that satisfy the
WHERE
clause, whether or not they actually were
changed.
If an UPDATE
statement includes an
ORDER BY
clause, the rows are updated in the
order specified by the clause. This can be useful in certain
situations that might otherwise result in an error. Suppose that a
table t
contains a column id
that has a unique index. The following statement could fail with a
duplicate-key error, depending on the order in which rows are
updated:
UPDATE t SET id = id + 1;
For example, if the table contains 1 and 2 in the
id
column and 1 is updated to 2 before 2 is
updated to 3, an error occurs. To avoid this problem, add an
ORDER BY
clause to cause the rows with larger
id
values to be updated before those with
smaller values:
UPDATE t SET id = id + 1 ORDER BY id DESC;
You can also perform UPDATE
operations covering multiple tables. However, you cannot use
ORDER BY
or LIMIT
with a
multiple-table UPDATE
. The
table_references
clause lists the
tables involved in the join. Its syntax is described in
Section 13.2.9.2, “JOIN
Syntax”. Here is an example:
UPDATE items,month SET items.price=month.price WHERE items.id=month.id;
The preceding example shows an inner join that uses the comma
operator, but multiple-table UPDATE
statements can use any type of join permitted in
SELECT
statements, such as
LEFT JOIN
.
If you use a multiple-table UPDATE
statement involving InnoDB
tables for which
there are foreign key constraints, the MySQL optimizer might
process tables in an order that differs from that of their
parent/child relationship. In this case, the statement fails and
rolls back. Instead, update a single table and rely on the
ON UPDATE
capabilities that
InnoDB
provides to cause the other tables to be
modified accordingly. See
Section 14.2.2.5, “FOREIGN KEY
Constraints”.
Currently, you cannot update a table and select from the same table in a subquery.
Index hints (see Section 13.2.9.3, “Index Hint Syntax”) are accepted but
ignored for UPDATE
statements.
Prior to MySQL 5.6.6, an UPDATE
on a
partitioned table using a storage engine such as
MyISAM
that employs table-level locks
locked all partitions of the table. This was true even for
UPDATE ... PARTITION
queries. (This did not and
does not occur with storage engines such as
InnoDB
that employ row-level
locking.) In MySQL 5.6.6 and later, MySQL uses partition lock
pruning, so that only partitions containing rows matching the
UPDATE
statement's
WHERE
clause are actually locked, as long as
none of the table's partitioning columns are updated. For
more information, see
Section 17.6.4, “Partitioning and Locking”.
START TRANSACTION
,
COMMIT
, and
ROLLBACK
SyntaxSAVEPOINT
,
ROLLBACK TO
SAVEPOINT
, and
RELEASE
SAVEPOINT
SyntaxLOCK TABLES
and
UNLOCK
TABLES
SyntaxSET TRANSACTION
Syntax
MySQL supports local transactions (within a given client session)
through statements such as
SET autocommit
,
START TRANSACTION
,
COMMIT
, and
ROLLBACK
. See
Section 13.3.1, “START TRANSACTION
,
COMMIT
, and
ROLLBACK
Syntax”. XA transaction support enables MySQL to
participate in distributed transactions as well. See
Section 13.3.7, “XA Transactions”.
START TRANSACTION [transaction_characteristic
[,transaction_characteristic
] ...]transaction_characteristic
: WITH CONSISTENT SNAPSHOT | READ WRITE | READ ONLY BEGIN [WORK] COMMIT [WORK] [AND [NO] CHAIN] [[NO] RELEASE] ROLLBACK [WORK] [AND [NO] CHAIN] [[NO] RELEASE] SET autocommit = {0 | 1}
These statements provide control over use of transactions:
START TRANSACTION
or
BEGIN
start a new transaction.
COMMIT
commits the current transaction,
making its changes permanent.
ROLLBACK
rolls back the current
transaction, canceling its changes.
SET autocommit
disables or enables the
default autocommit mode for the current session.
By default, MySQL runs with autocommit mode enabled. This means that as soon as you execute a statement that updates (modifies) a table, MySQL stores the update on disk to make it permanent. The change cannot be rolled back.
To disable autocommit mode implicitly for a single series of
statements, use the START TRANSACTION
statement:
START TRANSACTION; SELECT @A:=SUM(salary) FROM table1 WHERE type=1; UPDATE table2 SET summary=@A WHERE type=1; COMMIT;
With START TRANSACTION
, autocommit remains
disabled until you end the transaction with
COMMIT
or ROLLBACK
. The
autocommit mode then reverts to its previous state.
START TRANSACTION
permits several modifiers
that control transaction characteristics. To specify multiple
modifiers, separate them by commas.
The WITH CONSISTENT SNAPSHOT
modifier
starts a consistent
read for storage engines that are capable of it. This
applies only to InnoDB
. The effect is the
same as issuing a START TRANSACTION
followed by a SELECT
from any
InnoDB
table. See
Section 14.2.4.3, “Consistent Nonlocking Reads”. The WITH
CONSISTENT SNAPSHOT
modifier does not change the
current transaction
isolation level,
so it provides a consistent snapshot only if the current
isolation level is one that permits consistent read
(REPEATABLE READ
or
SERIALIZABLE
).
The READ WRITE
and READ
ONLY
modifiers set the transaction access mode. They
permit or prohibit changes to tables used in the transaction.
The READ ONLY
restriction prevents the
transaction from modifying or locking both transactional and
non-transactional tables that are visible to other
transactions; the transaction can still modify or lock
temporary tables. These modifiers are available as of MySQL
5.6.5.
MySQL enables extra optimizations for queries on
InnoDB
tables when the transaction is known
to be read-only. Specifying READ ONLY
ensures these optimizations are applied in cases where the
read-only status cannot be determined automatically. See
Section 14.2.5.2.2, “Optimizations for Read-Only Transactions” for more
information.
If no access mode is specified, the default mode applies.
Unless the default has been changed, it is read/write. It is
not permitted to specify both READ WRITE
and READ ONLY
in the same statement.
In read-only mode, it remains possible to change tables
created with the TEMPORARY
keyword using
DML statements. Changes made with DDL statements are not
permitted, just as with permanent tables.
For additional information about transaction access mode,
including ways to change the default mode, see
Section 13.3.6, “SET TRANSACTION
Syntax”.
If the read_only
system
variable is enabled, explicitly starting a transaction with
START TRANSACTION READ WRITE
requires the
SUPER
privilege.
Many APIs used for writing MySQL client applications (such as
JDBC) provide their own methods for starting transactions that
can (and sometimes should) be used instead of sending a
START TRANSACTION
statement from the client.
See Chapter 21, Connectors and APIs, or the documentation for
your API, for more information.
To disable autocommit mode explicitly, use the following statement:
SET autocommit=0;
After disabling autocommit mode by setting the
autocommit
variable to zero,
changes to transaction-safe tables (such as those for
InnoDB
or
NDBCLUSTER
) are not made permanent
immediately. You must use COMMIT
to
store your changes to disk or ROLLBACK
to
ignore the changes.
autocommit
is a session variable
and must be set for each session. To disable autocommit mode for
each new connection, see the description of the
autocommit
system variable at
Section 5.1.4, “Server System Variables”.
BEGIN
and BEGIN WORK
are
supported as aliases of START TRANSACTION
for
initiating a transaction. START TRANSACTION
is
standard SQL syntax, is the recommended way to start an ad-hoc
transaction, and permits modifiers that BEGIN
does not.
The BEGIN
statement differs from the use of the
BEGIN
keyword that starts a
BEGIN ... END
compound statement. The latter does not begin a transaction. See
Section 13.6.1, “BEGIN ... END
Compound-Statement Syntax”.
Within all stored programs (stored procedures and functions,
triggers, and events), the parser treats BEGIN
[WORK]
as the beginning of a
BEGIN ...
END
block. Begin a transaction in this context with
START
TRANSACTION
instead.
The optional WORK
keyword is supported for
COMMIT
and ROLLBACK
, as are
the CHAIN
and RELEASE
clauses. CHAIN
and RELEASE
can be used for additional control over transaction completion.
The value of the completion_type
system variable determines the default completion behavior. See
Section 5.1.4, “Server System Variables”.
The AND CHAIN
clause causes a new transaction
to begin as soon as the current one ends, and the new transaction
has the same isolation level as the just-terminated transaction.
The RELEASE
clause causes the server to
disconnect the current client session after terminating the
current transaction. Including the NO
keyword
suppresses CHAIN
or RELEASE
completion, which can be useful if the
completion_type
system variable
is set to cause chaining or release completion by default.
Beginning a transaction causes any pending transaction to be committed. See Section 13.3.3, “Statements That Cause an Implicit Commit”, for more information.
Beginning a transaction also causes table locks acquired with
LOCK TABLES
to be released, as
though you had executed
UNLOCK
TABLES
. Beginning a transaction does not release a
global read lock acquired with
FLUSH TABLES WITH READ
LOCK
.
For best results, transactions should be performed using only tables managed by a single transaction-safe storage engine. Otherwise, the following problems can occur:
If you use tables from more than one transaction-safe storage
engine (such as InnoDB
), and the
transaction isolation level is not
SERIALIZABLE
, it is
possible that when one transaction commits, another ongoing
transaction that uses the same tables will see only some of
the changes made by the first transaction. That is, the
atomicity of transactions is not guaranteed with mixed engines
and inconsistencies can result. (If mixed-engine transactions
are infrequent, you can use
SET
TRANSACTION ISOLATION LEVEL
to set the isolation
level to SERIALIZABLE
on a
per-transaction basis as necessary.)
If you use tables that are not transaction-safe within a transaction, changes to those tables are stored at once, regardless of the status of autocommit mode.
If you issue a
ROLLBACK
statement after updating a nontransactional table within a
transaction, an
ER_WARNING_NOT_COMPLETE_ROLLBACK
warning occurs. Changes to transaction-safe tables are rolled
back, but not changes to nontransaction-safe tables.
Each transaction is stored in the binary log in one chunk, upon
COMMIT
. Transactions that are
rolled back are not logged.
(Exception: Modifications to
nontransactional tables cannot be rolled back. If a transaction
that is rolled back includes modifications to nontransactional
tables, the entire transaction is logged with a
ROLLBACK
statement at the end to ensure that modifications to the
nontransactional tables are replicated.) See
Section 5.2.4, “The Binary Log”.
You can change the isolation level or access mode for transactions
with the SET TRANSACTION
statement.
See Section 13.3.6, “SET TRANSACTION
Syntax”.
Rolling back can be a slow operation that may occur implicitly
without the user having explicitly asked for it (for example, when
an error occurs). Because of this, SHOW
PROCESSLIST
displays Rolling back
in
the State
column for the session, not only for
explicit rollbacks performed with the
ROLLBACK
statement but also for implicit rollbacks.
In MySQL 5.6, BEGIN
,
COMMIT
, and ROLLBACK
are
not affected by --replicate-do-db
or --replicate-ignore-db
rules.
Some statements cannot be rolled back. In general, these include data definition language (DDL) statements, such as those that create or drop databases, those that create, drop, or alter tables or stored routines.
You should design your transactions not to include such
statements. If you issue a statement early in a transaction that
cannot be rolled back, and then another statement later fails, the
full effect of the transaction cannot be rolled back in such cases
by issuing a
ROLLBACK
statement.
The statements listed in this section (and any synonyms for them)
implicitly end any transaction active in the current session, as
if you had done a COMMIT
before
executing the statement. As of MySQL 5.5.3, most of these
statements also cause an implicit commit after executing; for
additional details, see the end of this section.
Data definition language (DDL)
statements that define or modify database objects.
ALTER DATABASE ... UPGRADE DATA DIRECTORY
NAME
, ALTER EVENT
,
ALTER PROCEDURE
,
ALTER TABLE
,
ALTER VIEW
,
CREATE DATABASE
,
CREATE EVENT
,
CREATE INDEX
,
CREATE PROCEDURE
,
CREATE TABLE
,
CREATE TRIGGER
,
CREATE VIEW
,
DROP DATABASE
,
DROP EVENT
,
DROP INDEX
,
DROP PROCEDURE
,
DROP TABLE
,
DROP TRIGGER
,
DROP VIEW
,
RENAME TABLE
,
TRUNCATE TABLE
.
ALTER FUNCTION
,
CREATE FUNCTION
and
DROP FUNCTION
also cause an
implicit commit when used with stored functions, but not with
UDFs. (ALTER FUNCTION
can only
be used with stored functions.)
ALTER TABLE
,
CREATE TABLE
, and
DROP TABLE
do not commit a
transaction if the TEMPORARY
keyword is
used. (This does not apply to other operations on temporary
tables such as CREATE INDEX
,
which do cause a commit.) However, although no implicit commit
occurs, neither can the statement be rolled back. Therefore,
use of such statements will violate transaction atomicity: For
example, if you use
CREATE TEMPORARY
TABLE
and then roll back the transaction, the table
remains in existence.
The CREATE TABLE
statement in
InnoDB
is processed as a single
transaction. This means that a
ROLLBACK
from the user does not undo CREATE
TABLE
statements the user made during that
transaction.
CREATE TABLE ...
SELECT
causes an implicit commit before and after
the statement is executed when you are creating nontemporary
tables. (No commit occurs for CREATE TEMPORARY TABLE
... SELECT
.) This is to prevent an issue during
replication where the table could be created on the master
after a rollback, but fail to be recorded in the binary log,
and therefore not replicated to the slave. For more
information, see Bug #22865.
Statements that implicitly use or modify
tables in the mysql
database.
CREATE USER
,
DROP USER
,
GRANT
,
RENAME USER
,
REVOKE
,
SET PASSWORD
.
Transaction-control and locking
statements.
BEGIN
,
LOCK TABLES
, SET
autocommit = 1
(if the value is not already 1),
START
TRANSACTION
,
UNLOCK
TABLES
.
UNLOCK
TABLES
commits a transaction only if any tables
currently have been locked with LOCK
TABLES
to acquire nontransactional table locks. A
commit does not occur for
UNLOCK
TABLES
following
FLUSH TABLES WITH READ
LOCK
because the latter statement does not acquire
table-level locks.
Transactions cannot be nested. This is a consequence of the
implicit commit performed for any current transaction when you
issue a START
TRANSACTION
statement or one of its synonyms.
Statements that cause an implicit commit cannot be used in an
XA transaction while the transaction is in an
ACTIVE
state.
The BEGIN
statement differs from the use of the BEGIN
keyword that starts a
BEGIN ...
END
compound statement. The latter does not cause an
implicit commit. See Section 13.6.1, “BEGIN ... END
Compound-Statement Syntax”.
Data loading statements.
LOAD DATA
INFILE
.
LOAD DATA
INFILE
causes an implicit commit only for tables
using the NDB
storage engine. For
more information, see Bug #11151.
Administrative statements.
ANALYZE TABLE
,
CACHE INDEX
,
CHECK TABLE
,
LOAD INDEX INTO
CACHE
, OPTIMIZE
TABLE
, REPAIR TABLE
.
Replication control
statements. Beginning with MySQL 5.6.7:
START SLAVE
,
STOP SLAVE
,
RESET SLAVE
,
CHANGE MASTER TO
. (Bug
#13858841)
As of MySQL 5.5.3, most statements that previously caused an implicit commit before executing also do so after executing. The intent is to handle each such statement in its own special transaction because it cannot be rolled back anyway. The following list provides additional details pertaining to this change:
The CREATE TABLE
variants
(CREATE TABLE
for
InnoDB
tables and
CREATE TABLE ...
SELECT
) that previously were special cases no longer
are so because CREATE TABLE
uniformly causes an implicit commit before and after
executing.
Transaction-control and locking statements behave as before.
SAVEPOINTidentifier
ROLLBACK [WORK] TO [SAVEPOINT]identifier
RELEASE SAVEPOINTidentifier
InnoDB
supports the SQL statements
SAVEPOINT
,
ROLLBACK TO
SAVEPOINT
,
RELEASE
SAVEPOINT
and the optional WORK
keyword for
ROLLBACK
.
The SAVEPOINT
statement sets a
named transaction savepoint with a name of
identifier
. If the current transaction
has a savepoint with the same name, the old savepoint is deleted
and a new one is set.
The ROLLBACK TO
SAVEPOINT
statement rolls back a transaction to the
named savepoint without terminating the transaction. Modifications
that the current transaction made to rows after the savepoint was
set are undone in the rollback, but InnoDB
does
not release the row locks that were stored in
memory after the savepoint. (For a new inserted row, the lock
information is carried by the transaction ID stored in the row;
the lock is not separately stored in memory. In this case, the row
lock is released in the undo.) Savepoints that were set at a later
time than the named savepoint are deleted.
If the ROLLBACK TO
SAVEPOINT
statement returns the following error, it
means that no savepoint with the specified name exists:
ERROR 1305 (42000): SAVEPOINT identifier
does not exist
The RELEASE
SAVEPOINT
statement removes the named savepoint from the
set of savepoints of the current transaction. No commit or
rollback occurs. It is an error if the savepoint does not exist.
All savepoints of the current transaction are deleted if you
execute a COMMIT
, or a
ROLLBACK
that
does not name a savepoint.
A new savepoint level is created when a stored function is invoked or a trigger is activated. The savepoints on previous levels become unavailable and thus do not conflict with savepoints on the new level. When the function or trigger terminates, any savepoints it created are released and the previous savepoint level is restored.
LOCK TABLEStbl_name
[[AS]alias
]lock_type
[,tbl_name
[[AS]alias
]lock_type
] ...lock_type
: READ [LOCAL] | [LOW_PRIORITY] WRITE UNLOCK TABLES
MySQL enables client sessions to acquire table locks explicitly for the purpose of cooperating with other sessions for access to tables, or to prevent other sessions from modifying tables during periods when a session requires exclusive access to them. A session can acquire or release locks only for itself. One session cannot acquire locks for another session or release locks held by another session.
Locks may be used to emulate transactions or to get more speed when updating tables. This is explained in more detail later in this section.
LOCK TABLES
explicitly acquires
table locks for the current client session. Table locks can be
acquired for base tables or views. You must have the
LOCK TABLES
privilege, and the
SELECT
privilege for each object to
be locked.
For view locking, LOCK TABLES
adds
all base tables used in the view to the set of tables to be locked
and locks them automatically. If you lock a table explicitly with
LOCK TABLES
, any tables used in
triggers are also locked implicitly, as described in
Section 13.3.5.2, “LOCK TABLES
and Triggers”.
UNLOCK
TABLES
explicitly releases any table locks held by the
current session. LOCK TABLES
implicitly releases any table locks held by the current session
before acquiring new locks.
Another use for
UNLOCK
TABLES
is to release the global read lock acquired with
the FLUSH TABLES WITH READ
LOCK
statement, which enables you to lock all tables in
all databases. See Section 13.7.6.3, “FLUSH
Syntax”. (This is a very
convenient way to get backups if you have a file system such as
Veritas that can take snapshots in time.)
A table lock protects only against inappropriate reads or writes
by other sessions. The session holding the lock, even a read lock,
can perform table-level operations such as
DROP TABLE
. Truncate operations are
not transaction-safe, so an error occurs if the session attempts
one during an active transaction or while holding a table lock.
The following discussion applies only to
non-TEMPORARY
tables. LOCK
TABLES
is permitted (but ignored) for a
TEMPORARY
table. The table can be accessed
freely by the session within which it was created, regardless of
what other locking may be in effect. No lock is necessary because
no other session can see the table.
For information about other conditions on the use of
LOCK TABLES
and statements that
cannot be used while LOCK TABLES
is
in effect, see Section 13.3.5.3, “Table-Locking Restrictions and Conditions”
Rules for Lock Acquisition
To acquire table locks within the current session, use the
LOCK TABLES
statement. The
following lock types are available:
READ [LOCAL]
lock:
The session that holds the lock can read the table (but not write it).
Multiple sessions can acquire a READ
lock
for the table at the same time.
Other sessions can read the table without explicitly acquiring
a READ
lock.
The LOCAL
modifier enables nonconflicting
INSERT
statements (concurrent
inserts) by other sessions to execute while the lock is held.
(See Section 8.10.3, “Concurrent Inserts”.) However,
READ LOCAL
cannot be used if you are going
to manipulate the database using processes external to the
server while you hold the lock. For InnoDB
tables, READ LOCAL
is the same as
READ
.
[LOW_PRIORITY] WRITE
lock:
The session that holds the lock can read and write the table.
Only the session that holds the lock can access the table. No other session can access it until the lock is released.
Lock requests for the table by other sessions block while the
WRITE
lock is held.
The LOW_PRIORITY
modifier has no effect. In
previous versions of MySQL, it affected locking behavior, but
this is no longer true. As of MySQL 5.6.5, it is deprecated
and its use produces a warning. Use WRITE
without LOW_PRIORITY
instead.
If the LOCK TABLES
statement must
wait due to locks held by other sessions on any of the tables, it
blocks until all locks can be acquired.
A session that requires locks must acquire all the locks that it
needs in a single LOCK TABLES
statement. While the locks thus obtained are held, the session can
access only the locked tables. For example, in the following
sequence of statements, an error occurs for the attempt to access
t2
because it was not locked in the
LOCK TABLES
statement:
mysql>LOCK TABLES t1 READ;
mysql>SELECT COUNT(*) FROM t1;
+----------+ | COUNT(*) | +----------+ | 3 | +----------+ mysql>SELECT COUNT(*) FROM t2;
ERROR 1100 (HY000): Table 't2' was not locked with LOCK TABLES
Tables in the INFORMATION_SCHEMA
database are
an exception. They can be accessed without being locked explicitly
even while a session holds table locks obtained with
LOCK TABLES
.
You cannot refer to a locked table multiple times in a single query using the same name. Use aliases instead, and obtain a separate lock for the table and each alias:
mysql>LOCK TABLE t WRITE, t AS t1 READ;
mysql>INSERT INTO t SELECT * FROM t;
ERROR 1100: Table 't' was not locked with LOCK TABLES mysql>INSERT INTO t SELECT * FROM t AS t1;
The error occurs for the first
INSERT
because there are two
references to the same name for a locked table. The second
INSERT
succeeds because the
references to the table use different names.
If your statements refer to a table by means of an alias, you must lock the table using that same alias. It does not work to lock the table without specifying the alias:
mysql>LOCK TABLE t READ;
mysql>SELECT * FROM t AS myalias;
ERROR 1100: Table 'myalias' was not locked with LOCK TABLES
Conversely, if you lock a table using an alias, you must refer to it in your statements using that alias:
mysql>LOCK TABLE t AS myalias READ;
mysql>SELECT * FROM t;
ERROR 1100: Table 't' was not locked with LOCK TABLES mysql>SELECT * FROM t AS myalias;
WRITE
locks normally have higher priority than
READ
locks to ensure that updates are processed
as soon as possible. This means that if one session obtains a
READ
lock and then another session requests a
WRITE
lock, subsequent READ
lock requests wait until the session that requested the
WRITE
lock has obtained the lock and released
it.
LOCK TABLES
acquires locks as
follows:
Sort all tables to be locked in an internally defined order. From the user standpoint, this order is undefined.
If a table is to be locked with a read and a write lock, put the write lock request before the read lock request.
Lock one table at a time until the session gets all locks.
This policy ensures that table locking is deadlock free.
LOCK TABLES
or UNLOCK
TABLES
, when applied to a partitioned table, always
locks or unlocks the entire table; these statements do not
support partition lock pruning. See
Section 17.6.4, “Partitioning and Locking”.
Rules for Lock Release
When the table locks held by a session are released, they are all released at the same time. A session can release its locks explicitly, or locks may be released implicitly under certain conditions.
A session can release its locks explicitly with
UNLOCK
TABLES
.
If a session issues a LOCK
TABLES
statement to acquire a lock while already
holding locks, its existing locks are released implicitly
before the new locks are granted.
If a session begins a transaction (for example, with
START
TRANSACTION
), an implicit
UNLOCK
TABLES
is performed, which causes existing locks to
be released. (For additional information about the interaction
between table locking and transactions, see
Section 13.3.5.1, “Interaction of Table Locking and Transactions”.)
If the connection for a client session terminates, whether normally or abnormally, the server implicitly releases all table locks held by the session (transactional and nontransactional). If the client reconnects, the locks will no longer be in effect. In addition, if the client had an active transaction, the server rolls back the transaction upon disconnect, and if reconnect occurs, the new session begins with autocommit enabled. For this reason, clients may wish to disable auto-reconnect. With auto-reconnect in effect, the client is not notified if reconnect occurs but any table locks or current transaction will have been lost. With auto-reconnect disabled, if the connection drops, an error occurs for the next statement issued. The client can detect the error and take appropriate action such as reacquiring the locks or redoing the transaction. See Section 21.9.12, “Controlling Automatic Reconnection Behavior”.
If you use ALTER TABLE
on a
locked table, it may become unlocked. For example, if you
attempt a second ALTER TABLE
operation, the result may be an error Table
'
. To handle this, lock the table again prior to
the second alteration. See also
Section C.5.7.1, “Problems with tbl_name
' was not locked with LOCK
TABLESALTER TABLE
”.
LOCK TABLES
and
UNLOCK
TABLES
interact with the use of transactions as
follows:
LOCK TABLES
is not
transaction-safe and implicitly commits any active
transaction before attempting to lock the tables.
UNLOCK
TABLES
implicitly commits any active transaction,
but only if LOCK TABLES
has
been used to acquire table locks. For example, in the
following set of statements,
UNLOCK
TABLES
releases the global read lock but does not
commit the transaction because no table locks are in effect:
FLUSH TABLES WITH READ LOCK; START TRANSACTION; SELECT ... ; UNLOCK TABLES;
Beginning a transaction (for example, with
START
TRANSACTION
) implicitly commits any current
transaction and releases existing table locks.
FLUSH TABLES WITH
READ LOCK
acquires a global read lock and not
table locks, so it is not subject to the same behavior as
LOCK TABLES
and
UNLOCK
TABLES
with respect to table locking and implicit
commits. For example,
START
TRANSACTION
does not release the global read lock.
See Section 13.7.6.3, “FLUSH
Syntax”.
Other statements that implicitly cause transactions to be committed do not release existing table locks. For a list of such statements, see Section 13.3.3, “Statements That Cause an Implicit Commit”.
The correct way to use LOCK
TABLES
and
UNLOCK
TABLES
with transactional tables, such as
InnoDB
tables, is to begin a transaction
with SET autocommit = 0
(not
START
TRANSACTION
) followed by LOCK
TABLES
, and to not call
UNLOCK
TABLES
until you commit the transaction
explicitly. For example, if you need to write to table
t1
and read from table
t2
, you can do this:
SET autocommit=0;
LOCK TABLES t1 WRITE, t2 READ, ...;... do something with tables t1 and t2 here ...
COMMIT;
UNLOCK TABLES;
When you call LOCK TABLES
,
InnoDB
internally takes its own table
lock, and MySQL takes its own table lock.
InnoDB
releases its internal table lock
at the next commit, but for MySQL to release its table lock,
you have to call
UNLOCK
TABLES
. You should not have
autocommit = 1
, because
then InnoDB
releases its internal table
lock immediately after the call of LOCK
TABLES
, and deadlocks can very easily happen.
InnoDB
does not acquire the internal
table lock at all if autocommit =
1
, to help old applications avoid unnecessary
deadlocks.
ROLLBACK
does not release table locks.
If you lock a table explicitly with LOCK
TABLES
, any tables used in triggers are also locked
implicitly:
The locks are taken as the same time as those acquired
explicitly with the LOCK
TABLES
statement.
The lock on a table used in a trigger depends on whether the table is used only for reading. If so, a read lock suffices. Otherwise, a write lock is used.
If a table is locked explicitly for reading with
LOCK TABLES
, but needs to be
locked for writing because it might be modified within a
trigger, a write lock is taken rather than a read lock.
(That is, an implicit write lock needed due to the table's
appearance within a trigger causes an explicit read lock
request for the table to be converted to a write lock
request.)
Suppose that you lock two tables, t1
and
t2
, using this statement:
LOCK TABLES t1 WRITE, t2 READ;
If t1
or t2
have any
triggers, tables used within the triggers will also be locked.
Suppose that t1
has a trigger defined like
this:
CREATE TRIGGER t1_a_ins AFTER INSERT ON t1 FOR EACH ROW BEGIN UPDATE t4 SET count = count+1 WHERE id = NEW.id AND EXISTS (SELECT a FROM t3); INSERT INTO t2 VALUES(1, 2); END;
The result of the LOCK TABLES
statement is that t1
and
t2
are locked because they appear in the
statement, and t3
and t4
are locked because they are used within the trigger:
t1
is locked for writing per the
WRITE
lock request.
t2
is locked for writing, even though the
request is for a READ
lock. This occurs
because t2
is inserted into within the
trigger, so the READ
request is converted
to a WRITE
request.
t3
is locked for reading because it is
only read from within the trigger.
t4
is locked for writing because it might
be updated within the trigger.
You can safely use KILL
to
terminate a session that is waiting for a table lock. See
Section 13.7.6.4, “KILL
Syntax”.
Do not lock any tables that you are using
with INSERT DELAYED
. An
INSERT DELAYED
in this case
results in an error because the insert must be handled by a
separate thread, not by the session which holds the lock.
LOCK TABLES
and
UNLOCK
TABLES
cannot be used within stored programs.
Tables in the performance_schema
database
cannot be locked with LOCK
TABLES
, except the
setup_
tables.
xxx
The following statements are prohibited while a
LOCK TABLES
statement is in
effect: CREATE TABLE
,
CREATE TABLE ...
LIKE
, CREATE VIEW
,
DROP VIEW
, and DDL statements on
stored functions and procedures and events.
For some operations, system tables in the
mysql
database must be accessed. For example,
the HELP
statement requires the
contents of the server-side help tables, and
CONVERT_TZ()
might need to read
the time zone tables. The server implicitly locks the system
tables for reading as necessary so that you need not lock them
explicitly. These tables are treated as just described:
mysql.help_category mysql.help_keyword mysql.help_relation mysql.help_topic mysql.proc mysql.time_zone mysql.time_zone_leap_second mysql.time_zone_name mysql.time_zone_transition mysql.time_zone_transition_type
If you want to explicitly place a WRITE
lock
on any of those tables with a LOCK
TABLES
statement, the table must be the only one
locked; no other table can be locked with the same statement.
Normally, you do not need to lock tables, because all single
UPDATE
statements are atomic; no
other session can interfere with any other currently executing
SQL statement. However, there are a few cases when locking
tables may provide an advantage:
If you are going to run many operations on a set of
MyISAM
tables, it is much faster to lock
the tables you are going to use. Locking
MyISAM
tables speeds up inserting,
updating, or deleting on them because MySQL does not flush
the key cache for the locked tables until
UNLOCK
TABLES
is called. Normally, the key cache is
flushed after each SQL statement.
The downside to locking the tables is that no session can
update a READ
-locked table (including the
one holding the lock) and no session can access a
WRITE
-locked table other than the one
holding the lock.
If you are using tables for a nontransactional storage
engine, you must use LOCK
TABLES
if you want to ensure that no other session
modifies the tables between a
SELECT
and an
UPDATE
. The example shown
here requires LOCK TABLES
to
execute safely:
LOCK TABLES trans READ, customer WRITE; SELECT SUM(value) FROM trans WHERE customer_id=some_id
; UPDATE customer SET total_value=sum_from_previous_statement
WHERE customer_id=some_id
; UNLOCK TABLES;
Without LOCK TABLES
, it is
possible that another session might insert a new row in the
trans
table between execution of the
SELECT
and
UPDATE
statements.
You can avoid using LOCK TABLES
in many cases by using relative updates (UPDATE
customer SET
)
or the value
=value
+new_value
LAST_INSERT_ID()
function.
See Section 1.8.5.3, “Transaction and Atomic Operation Differences”.
You can also avoid locking tables in some cases by using the
user-level advisory lock functions
GET_LOCK()
and
RELEASE_LOCK()
. These locks are
saved in a hash table in the server and implemented with
pthread_mutex_lock()
and
pthread_mutex_unlock()
for high speed. See
Section 12.15, “Miscellaneous Functions”.
See Section 8.10.1, “Internal Locking Methods”, for more information on locking policy.
SET [GLOBAL | SESSION] TRANSACTIONtransaction_characteristic
[,transaction_characteristic
] ...transaction_characteristic
: ISOLATION LEVELlevel
| READ WRITE | READ ONLYlevel
: REPEATABLE READ | READ COMMITTED | READ UNCOMMITTED | SERIALIZABLE
This statement specifies
transaction
characteristics. It takes a list of one or more characteristic
values separated by commas. These characteristics set the
transaction isolation
level or access mode. The isolation level is used for
operations on InnoDB
tables. The
access mode may be specified as of MySQL 5.6.5 and indicates
whether transactions operate in read/write or read-only mode.
In addition, SET TRANSACTION
can
include an optional GLOBAL
or
SESSION
keyword to indicate the scope of the
statement.
You can set transaction characteristics globally, for the current session, or for the next transaction:
With the GLOBAL
keyword, the statement
applies globally for all subsequent sessions. Existing
sessions are unaffected.
With the SESSION
keyword, the statement
applies to all subsequent transactions performed within the
current session.
Without any SESSION
or
GLOBAL
keyword, the statement applies to
the next (not started) transaction performed within the
current session.
A global change to transaction characteristics requires the
SUPER
privilege. Any session is
free to change its session characteristics (even in the middle of
a transaction), or the characteristics for its next transaction.
SET TRANSACTION
without
GLOBAL
or SESSION
is not
permitted while there is an active transaction:
mysql>START TRANSACTION;
Query OK, 0 rows affected (0.02 sec) mysql>SET TRANSACTION ISOLATION LEVEL SERIALIZABLE;
ERROR 1568 (25001): Transaction characteristics can't be changed while a transaction is in progress
To set the global default isolation level at server startup, use
the
--transaction-isolation=
option to mysqld on the command line or in an
option file. Values of level
level
for this
option use dashes rather than spaces, so the permissible values
are READ-UNCOMMITTED
,
READ-COMMITTED
,
REPEATABLE-READ
, or
SERIALIZABLE
. For example, to
set the default isolation level to
REPEATABLE READ
, use these
lines in the [mysqld]
section of an option
file:
[mysqld] transaction-isolation = REPEATABLE-READ
It is possible to check or set the global and session transaction
isolation levels at runtime by using the
tx_isolation
system variable:
SELECT @@GLOBAL.tx_isolation, @@tx_isolation; SET GLOBAL tx_isolation='REPEATABLE-READ'; SET SESSION tx_isolation='SERIALIZABLE';
Similarly, to set the transaction access mode at server startup or
at runtime, use the
--transaction-read-only
option or
tx_read_only
system variable. By
default, these are OFF
(the mode is read/write)
but can be set to ON
for a default mode of read
only.
Setting the global or session value of
tx_isolation
or
tx_read_only
is equivalent to
setting the isolation level or access mode with
SET GLOBAL
TRANSACTION
or
SET SESSION
TRANSACTION
.
InnoDB
supports each of the transaction
isolation levels described here using different
locking strategies. You can
enforce a high degree of consistency with the default
REPEATABLE READ
level, for
operations on crucial data where
ACID compliance is important. Or
you can relax the consistency rules with
READ COMMITTED
or even
READ UNCOMMITTED
, in situations
such as bulk reporting where precise consistency and repeatable
results are less important than minimizing the amount of overhead
for locking. SERIALIZABLE
enforces even stricter rules than
REPEATABLE READ
, and is used
mainly in specialized situations, such as with
XA transactions and for
troubleshooting issues with concurrency and
deadlocks.
For full information about how these isolation levels work with
InnoDB
transactions, see
Section 14.2.4.1, “The InnoDB
Transaction Model and Locking”. In particular, for
additional information about InnoDB
record-level locks and how it uses them to execute various types
of statements, see Section 14.2.4.5, “InnoDB
Record, Gap, and Next-Key Locks” and
Section 14.2.4.7, “Locks Set by Different SQL Statements in InnoDB
”.
The following list describes how MySQL supports the different transaction levels. The list goes from the most commonly used level to the least used.
This is the default isolation level for
InnoDB
. For
consistent reads,
there is an important difference from the
READ COMMITTED
isolation
level: All consistent reads within the same transaction read
the snapshot established by the first read. This convention
means that if you issue several plain (nonlocking)
SELECT
statements within the
same transaction, these SELECT
statements are consistent also with respect to each other. See
Section 14.2.4.3, “Consistent Nonlocking Reads”.
For locking reads
(SELECT
with FOR
UPDATE
or LOCK IN SHARE MODE
),
UPDATE
, and
DELETE
statements, locking
depends on whether the statement uses a unique index with a
unique search condition, or a range-type search condition. For
a unique index with a unique search condition,
InnoDB
locks only the index record found,
not the gap before it. For
other search conditions, InnoDB
locks the
index range scanned, using gap
locks or next-key
locks to block insertions by other sessions into the
gaps covered by the range.
A somewhat Oracle-like isolation level with respect to consistent (nonlocking) reads: Each consistent read, even within the same transaction, sets and reads its own fresh snapshot. See Section 14.2.4.3, “Consistent Nonlocking Reads”.
For locking reads
(SELECT
with FOR
UPDATE
or LOCK IN SHARE MODE
),
InnoDB
locks only index records, not the
gaps before them, and thus
permits the free insertion of new records next to locked
records. For UPDATE
and
DELETE
statements, locking
depends on whether the statement uses a unique index with a
unique search condition (such as WHERE id =
100
), or a range-type search condition (such as
WHERE id > 100
). For a unique index with
a unique search condition, InnoDB
locks
only the index record found, not the gap before it. For
range-type searches, InnoDB
locks the index
range scanned, using gap
locks or next-key
locks to block insertions by other sessions into the
gaps covered by the range. This is necessary because
“phantom rows” must be blocked for MySQL
replication and recovery to work.
In MySQL 5.6, if the READ
COMMITTED
isolation level is used, or the
deprecated
innodb_locks_unsafe_for_binlog
system variable is enabled, there is no
InnoDB
gap locking except for foreign-key
constraint checking and duplicate-key checking. Also, record
locks for nonmatching rows are released after MySQL has
evaluated the WHERE
condition.
If you use READ COMMITTED
or enable
innodb_locks_unsafe_for_binlog
,
you must use row-based binary logging.
SELECT
statements are performed
in a nonlocking fashion, but a possible earlier version of a
row might be used. Thus, using this isolation level, such
reads are not consistent. This is also called a
dirty read. Otherwise,
this isolation level works like READ
COMMITTED
.
This level is like REPEATABLE
READ
, but InnoDB
implicitly
converts all plain SELECT
statements to SELECT
... LOCK IN SHARE MODE
if autocommit is disabled. If
autocommit is enabled, the
SELECT
is its own transaction.
It therefore is known to be read only and can be serialized if
performed as a consistent (nonlocking) read and need not block
for other transactions. (To force a plain
SELECT
to block if other
transactions have modified the selected rows, disable
autocommit.)
As of MySQL 5.6.5, the transaction access mode may be specified
with SET TRANSACTION
. By default, a
transaction takes place in read/write mode, with both reads and
writes permitted to tables used in the transaction. This mode may
be specified explicitly using an access mode of READ
WRITE
.
If the transaction access mode is set to READ
ONLY
, changes to tables are prohibited. This may enable
storage engines to make performance improvements that are possible
when writes are not permitted.
It is not permitted to specify both READ WRITE
and READ ONLY
in the same statement.
In read-only mode, it remains possible to change tables created
with the TEMPORARY
keyword using DML
statements. Changes made with DDL statements are not permitted,
just as with permanent tables.
The READ WRITE
and READ ONLY
access modes also may be specified for an individual transaction
using the START
TRANSACTION
statement.
Support for XA transactions is
available for the InnoDB
storage
engine. The MySQL XA implementation is based on the X/Open CAE
document Distributed Transaction Processing: The XA
Specification. This document is published by The Open
Group and available at
http://www.opengroup.org/public/pubs/catalog/c193.htm.
Limitations of the current XA implementation are described in
Section E.6, “Restrictions on XA Transactions”.
On the client side, there are no special requirements. The XA
interface to a MySQL server consists of SQL statements that begin
with the XA
keyword. MySQL client programs must
be able to send SQL statements and to understand the semantics of
the XA statement interface. They do not need be linked against a
recent client library. Older client libraries also will work.
Currently, among the MySQL Connectors, MySQL Connector/J 5.0.0 and higher supports XA directly, by means of a class interface that handles the Xan SQL statement interface for you.
XA supports distributed transactions; that is, the ability to permit multiple separate transactional resources to participate in a global transaction. Transactional resources often are RDBMSs but may be other kinds of resources.
A global transaction involves several actions that are
transactional in themselves, but that all must either complete
successfully as a group, or all be rolled back as a group. In
essence, this extends ACID properties “up a level” so
that multiple ACID transactions can be executed in concert as
components of a global operation that also has ACID properties.
(However, for a distributed transaction, you must use the
SERIALIZABLE
isolation level to
achieve ACID properties. It is enough to use
REPEATABLE READ
for a
nondistributed transaction, but not for a distributed
transaction.)
Some examples of distributed transactions:
An application may act as an integration tool that combines a messaging service with an RDBMS. The application makes sure that transactions dealing with message sending, retrieval, and processing that also involve a transactional database all happen in a global transaction. You can think of this as “transactional email.”
An application performs actions that involve different database servers, such as a MySQL server and an Oracle server (or multiple MySQL servers), where actions that involve multiple servers must happen as part of a global transaction, rather than as separate transactions local to each server.
A bank keeps account information in an RDBMS and distributes and receives money through automated teller machines (ATMs). It is necessary to ensure that ATM actions are correctly reflected in the accounts, but this cannot be done with the RDBMS alone. A global transaction manager integrates the ATM and database resources to ensure overall consistency of financial transactions.
Applications that use global transactions involve one or more Resource Managers and a Transaction Manager:
A Resource Manager (RM) provides access to transactional resources. A database server is one kind of resource manager. It must be possible to either commit or roll back transactions managed by the RM.
A Transaction Manager (TM) coordinates the transactions that are part of a global transaction. It communicates with the RMs that handle each of these transactions. The individual transactions within a global transaction are “branches” of the global transaction. Global transactions and their branches are identified by a naming scheme described later.
The MySQL implementation of XA MySQL enables a MySQL server to act as a Resource Manager that handles XA transactions within a global transaction. A client program that connects to the MySQL server acts as the Transaction Manager.
To carry out a global transaction, it is necessary to know which components are involved, and bring each component to a point when it can be committed or rolled back. Depending on what each component reports about its ability to succeed, they must all commit or roll back as an atomic group. That is, either all components must commit, or all components must roll back. To manage a global transaction, it is necessary to take into account that any component or the connecting network might fail.
The process for executing a global transaction uses two-phase commit (2PC). This takes place after the actions performed by the branches of the global transaction have been executed.
In the first phase, all branches are prepared. That is, they are told by the TM to get ready to commit. Typically, this means each RM that manages a branch records the actions for the branch in stable storage. The branches indicate whether they are able to do this, and these results are used for the second phase.
In the second phase, the TM tells the RMs whether to commit or roll back. If all branches indicated when they were prepared that they will be able to commit, all branches are told to commit. If any branch indicated when it was prepared that it will not be able to commit, all branches are told to roll back.
In some cases, a global transaction might use one-phase commit (1PC). For example, when a Transaction Manager finds that a global transaction consists of only one transactional resource (that is, a single branch), that resource can be told to prepare and commit at the same time.
To perform XA transactions in MySQL, use the following statements:
XA {START|BEGIN}xid
[JOIN|RESUME] XA ENDxid
[SUSPEND [FOR MIGRATE]] XA PREPARExid
XA COMMITxid
[ONE PHASE] XA ROLLBACKxid
XA RECOVER
For XA
START
, the JOIN
and
RESUME
clauses are not supported.
For XA
END
the SUSPEND [FOR MIGRATE]
clause is not supported.
Each XA statement begins with the XA
keyword,
and most of them require an xid
value. An xid
is an XA transaction
identifier. It indicates which transaction the statement applies
to. xid
values are supplied by the
client, or generated by the MySQL server. An
xid
value has from one to three
parts:
xid
:gtrid
[,bqual
[,formatID
]]
gtrid
is a global transaction
identifier, bqual
is a branch
qualifier, and formatID
is a number
that identifies the format used by the
gtrid
and
bqual
values. As indicated by the
syntax, bqual
and
formatID
are optional. The default
bqual
value is ''
if not given. The default formatID
value is 1 if not given.
gtrid
and
bqual
must be string literals, each
up to 64 bytes (not characters) long.
gtrid
and
bqual
can be specified in several
ways. You can use a quoted string ('ab'
), hex
string (0x6162
, X'ab'
), or
bit value
(b'
).
nnnn
'
formatID
is an unsigned integer.
The gtrid
and
bqual
values are interpreted in bytes
by the MySQL server's underlying XA support routines. However,
while an SQL statement containing an XA statement is being
parsed, the server works with some specific character set. To be
safe, write gtrid
and
bqual
as hex strings.
xid
values typically are generated by
the Transaction Manager. Values generated by one TM must be
different from values generated by other TMs. A given TM must be
able to recognize its own xid
values
in a list of values returned by the
XA
RECOVER
statement.
XA START
starts an XA transaction with the given
xid
xid
value. Each XA transaction must
have a unique xid
value, so the value
must not currently be used by another XA transaction. Uniqueness
is assessed using the gtrid
and
bqual
values. All following XA
statements for the XA transaction must be specified using the
same xid
value as that given in the
XA
START
statement. If you use any of those statements
but specify an xid
value that does
not correspond to some existing XA transaction, an error occurs.
One or more XA transactions can be part of the same global
transaction. All XA transactions within a given global
transaction must use the same gtrid
value in the xid
value. For this
reason, gtrid
values must be globally
unique so that there is no ambiguity about which global
transaction a given XA transaction is part of. The
bqual
part of the
xid
value must be different for each
XA transaction within a global transaction. (The requirement
that bqual
values be different is a
limitation of the current MySQL XA implementation. It is not
part of the XA specification.)
The XA
RECOVER
statement returns information for those XA
transactions on the MySQL server that are in the
PREPARED
state. (See
Section 13.3.7.2, “XA Transaction States”.) The output includes a row for each
such XA transaction on the server, regardless of which client
started it.
XA
RECOVER
output rows look like this (for an example
xid
value consisting of the parts
'abc'
, 'def'
, and
7
):
mysql> XA RECOVER;
+----------+--------------+--------------+--------+
| formatID | gtrid_length | bqual_length | data |
+----------+--------------+--------------+--------+
| 7 | 3 | 3 | abcdef |
+----------+--------------+--------------+--------+
The output columns have the following meanings:
formatID
is the
formatID
part of the transaction
xid
gtrid_length
is the length in bytes of
the gtrid
part of the
xid
bqual_length
is the length in bytes of
the bqual
part of the
xid
data
is the concatenation of the
gtrid
and
bqual
parts of the
xid
An XA transaction progresses through the following states:
Use XA
START
to start an XA transaction and put it in the
ACTIVE
state.
For an ACTIVE
XA transaction, issue the
SQL statements that make up the transaction, and then issue
an XA
END
statement.
XA
END
puts the transaction in the
IDLE
state.
For an IDLE
XA transaction, you can issue
either an XA
PREPARE
statement or an XA COMMIT ... ONE
PHASE
statement:
XA
PREPARE
puts the transaction in the
PREPARED
state. An
XA
RECOVER
statement at this point will include
the transaction's xid
value
in its output, because
XA
RECOVER
lists all XA transactions that are in
the PREPARED
state.
XA COMMIT ... ONE PHASE
prepares and
commits the transaction. The
xid
value will not be listed
by XA
RECOVER
because the transaction terminates.
For a PREPARED
XA transaction, you can
issue an XA
COMMIT
statement to commit and terminate the
transaction, or
XA
ROLLBACK
to roll back and terminate the
transaction.
Here is a simple XA transaction that inserts a row into a table as part of a global transaction:
mysql>XA START 'xatest';
Query OK, 0 rows affected (0.00 sec) mysql>INSERT INTO mytable (i) VALUES(10);
Query OK, 1 row affected (0.04 sec) mysql>XA END 'xatest';
Query OK, 0 rows affected (0.00 sec) mysql>XA PREPARE 'xatest';
Query OK, 0 rows affected (0.00 sec) mysql>XA COMMIT 'xatest';
Query OK, 0 rows affected (0.00 sec)
Within the context of a given client connection, XA transactions
and local (non-XA) transactions are mutually exclusive. For
example, if XA
START
has been issued to begin an XA transaction, a
local transaction cannot be started until the XA transaction has
been committed or rolled back. Conversely, if a local
transaction has been started with
START
TRANSACTION
, no XA statements can be used until the
transaction has been committed or rolled back.
Note that if an XA transaction is in the
ACTIVE
state, you cannot issue any statements
that cause an implicit commit. That would violate the XA
contract because you could not roll back the XA transaction. You
will receive the following error if you try to execute such a
statement:
ERROR 1399 (XAE07): XAER_RMFAIL: The command cannot be executed when global transaction is in the ACTIVE state
Statements to which the preceding remark applies are listed at Section 13.3.3, “Statements That Cause an Implicit Commit”.
Replication can be controlled through the SQL interface using the statements described in this section. One group of statements controls master servers, the other controls slave servers.
This section discusses statements for managing master replication servers. Section 13.4.2, “SQL Statements for Controlling Slave Servers”, discusses statements for managing slave servers.
In addition to the statements described here, the following
SHOW
statements are used with
master servers in replication. For information about these
statements, see Section 13.7.5, “SHOW
Syntax”.
PURGE { BINARY | MASTER } LOGS { TO 'log_name
' | BEFOREdatetime_expr
}
The binary log is a set of files that contain information about data modifications made by the MySQL server. The log consists of a set of binary log files, plus an index file (see Section 5.2.4, “The Binary Log”).
The PURGE BINARY LOGS
statement
deletes all the binary log files listed in the log index file
prior to the specified log file name or date.
BINARY
and MASTER
are
synonyms. Deleted log files also are removed from the list
recorded in the index file, so that the given log file becomes
the first in the list.
This statement has no effect if the server was not started with
the --log-bin
option to enable
binary logging.
Examples:
PURGE BINARY LOGS TO 'mysql-bin.010'; PURGE BINARY LOGS BEFORE '2008-04-02 22:46:26';
The BEFORE
variant's
datetime_expr
argument should
evaluate to a DATETIME
value (a
value in 'YYYY-MM-DD hh:mm:ss'
format).
This statement is safe to run while slaves are replicating. You need not stop them. If you have an active slave that currently is reading one of the log files you are trying to delete, this statement does nothing and fails with an error. However, if a slave is not connected and you happen to purge one of the log files it has yet to read, the slave will be unable to replicate after it reconnects.
To safely purge binary log files, follow this procedure:
On each slave server, use SHOW SLAVE
STATUS
to check which log file it is reading.
Obtain a listing of the binary log files on the master
server with SHOW BINARY LOGS
.
Determine the earliest log file among all the slaves. This is the target file. If all the slaves are up to date, this is the last log file on the list.
Make a backup of all the log files you are about to delete. (This step is optional, but always advisable.)
Purge all log files up to but not including the target file.
You can also set the
expire_logs_days
system
variable to expire binary log files automatically after a given
number of days (see Section 5.1.4, “Server System Variables”).
If you are using replication, you should set the variable no
lower than the maximum number of days your slaves might lag
behind the master.
PURGE BINARY LOGS TO
and PURGE
BINARY LOGS BEFORE
both fail with an error when binary
log files listed in the .index
file had
been removed from the system by some other means (such as using
rm on Linux). (Bug #18199, Bug #18453) To
handle such errors, edit the .index
file
(which is a simple text file) manually to ensure that it lists
only the binary log files that are actually present, then run
again the PURGE BINARY LOGS
statement that failed.
RESET MASTER
Deletes all binary log files listed in the index file, resets the binary log index file to be empty, and creates a new binary log file.
In MySQL 5.6.5 and later, RESET MASTER
also
clears the values of the
gtid_purged
system variable
(known as gtid_lost
in MySQL
5.6.8 and earlier) as well as the global value of the
gtid_executed
(gtid_done
, prior to MySQL
5.6.9) system variable (but not its session value); that is,
executing this statement sets each of these values to an empty
string (''
).
This statement is intended to be used only when the master is started for the first time.
The effects of RESET MASTER
differ from those of PURGE BINARY
LOGS
in 2 key ways:
RESET MASTER
removes
all binary log files that are listed
in the index file, leaving only a single, empty binary log
file with a numeric suffix of .000001
,
whereas the numbering is not reset by
PURGE BINARY LOGS
.
RESET MASTER
is
not intended to be used while any
replication slaves are running. The behavior of
RESET MASTER
when used
while slaves are running is undefined (and thus
unsupported), whereas PURGE BINARY
LOGS
may be safely used while replication slaves
are running.
RESET MASTER
can prove useful
when you first set up the master and the slave, so that you can
verify the setup as follows:
Start the master and slave, and start replication (see Section 16.1.1, “How to Set Up Replication”).
Execute a few test queries on the master.
Check that the queries were replicated to the slave.
When replication is running correctly, issue
STOP SLAVE
followed by
RESET SLAVE
on the slave,
then verify that any unwanted data no longer exists on the
slave.
Issue RESET MASTER
on the
master to clean up the test queries.
After verifying the setup and getting rid of any unwanted and log files generated by testing, you can start the slave and begin replicating.
SET sql_log_bin = {0|1}
The sql_log_bin
variable
controls whether logging to the binary log is done. The default
value is 1 (do logging). To change logging for the current
session, change the session value of this variable. The session
user must have the SUPER
privilege to set this variable.
In MySQL 5.6, it is not possible to set
@@session.sql_log_bin
within a transaction or
subquery. (Bug #53437)
This section discusses statements for managing slave replication servers. Section 13.4.1, “SQL Statements for Controlling Master Servers”, discusses statements for managing master servers.
In addition to the statements described here,
SHOW SLAVE STATUS
is also used with
replication slaves. For information about this statement, see
Section 13.7.5.35, “SHOW SLAVE STATUS
Syntax”.
CHANGE MASTER TOoption
[,option
] ...option
: MASTER_BIND = 'interface_name
' | MASTER_HOST = 'host_name
' | MASTER_USER = 'user_name
' | MASTER_PASSWORD = 'password
' | MASTER_PORT =port_num
| MASTER_CONNECT_RETRY =interval
| MASTER_RETRY_COUNT =count
| MASTER_DELAY =interval
| MASTER_HEARTBEAT_PERIOD =interval
| MASTER_LOG_FILE = 'master_log_name
' | MASTER_LOG_POS =master_log_pos
| MASTER_AUTO_POSITION = 1 | RELAY_LOG_FILE = 'relay_log_name
' | RELAY_LOG_POS =relay_log_pos
| MASTER_SSL = {0|1} | MASTER_SSL_CA = 'ca_file_name
' | MASTER_SSL_CAPATH = 'ca_directory_name
' | MASTER_SSL_CERT = 'cert_file_name
' | MASTER_SSL_CRL = 'crl_file_name
' | MASTER_SSL_CRLPATH = 'crl_directory_name
' | MASTER_SSL_KEY = 'key_file_name
' | MASTER_SSL_CIPHER = 'cipher_list
' | MASTER_SSL_VERIFY_SERVER_CERT = {0|1} | IGNORE_SERVER_IDS = (server_id_list
)server_id_list
: [server_id
[,server_id
] ... ]
CHANGE MASTER TO
changes the
parameters that the slave server uses for connecting to the
master server, for reading the master binary log, and reading
the slave relay log. It also updates the contents of the
master.info
and
relay-log.info
files. To use
CHANGE MASTER TO
, the slave
replication threads must be stopped (use
STOP SLAVE
if necessary).
Options not specified retain their value, except as indicated in the following discussion. Thus, in most cases, there is no need to specify options that do not change. For example, if the password to connect to your MySQL master has changed, you just need to issue these statements to tell the slave about the new password:
STOP SLAVE; -- if replication was running CHANGE MASTER TO MASTER_PASSWORD='new3cret'; START SLAVE; -- if you want to restart replication
MASTER_HOST
, MASTER_USER
,
MASTER_PASSWORD
, and
MASTER_PORT
provide information to the slave
about how to connect to its master:
MASTER_HOST
and
MASTER_PORT
are the host name (or IP
address) of the master host and its TCP/IP port.
Replication cannot use Unix socket files. You must be able to connect to the master MySQL server using TCP/IP.
If you specify the MASTER_HOST
or
MASTER_PORT
option, the slave assumes
that the master server is different from before (even if the
option value is the same as its current value.) In this
case, the old values for the master binary log file name and
position are considered no longer applicable, so if you do
not specify MASTER_LOG_FILE
and
MASTER_LOG_POS
in the statement,
MASTER_LOG_FILE=''
and
MASTER_LOG_POS=4
are silently appended to
it.
Setting MASTER_HOST=''
(that is, setting
its value explicitly to an empty string) is
not the same as not setting
MASTER_HOST
at all. Beginning with MySQL
5.5, trying to set MASTER_HOST
to an
empty string fails with an error. Previously, setting
MASTER_HOST
to an empty string caused
START SLAVE
subsequently to
fail. (Bug #28796)
In MySQL 5.6.5 and later, values used for
MASTER_HOST
and other CHANGE
MASTER TO
options are checked for linefeed
(\n
or 0x0A
)
characters; the presence of such characters in these values
causes the statement to fail with
ER_MASTER_INFO. (Bug #11758581, Bug
#50801)
MASTER_USER
and
MASTER_PASSWORD
are the user name and
password of the account to use for connecting to the master.
In MySQL 5.6.4 and later, MASTER_USER
cannot be made empty; setting MASTER_USER =
''
or leaving it unset when setting a value for
for MASTER_PASSWORD
causes an error (Bug
#13427949).
Currently, a password used for a replication slave account is effectively limited to 32 characters in length; the password can be longer, but any excess characters are truncated. This is not due to any limit imposed by the MySQL Server generally, but rather is an issue specific to MySQL Replication. (For more information, see Bug #43439.)
The text of a running CHANGE MASTER
TO
statement, including values for
MASTER_USER
and
MASTER_PASSWORD
, can be seen in the
output of a concurrent SHOW
PROCESSLIST
statement. (The complete text of a
START SLAVE
statement is also
visible to SHOW PROCESSLIST
.)
The MASTER_SSL_
options provide information about using SSL for the connection.
They correspond to the
xxx
--ssl-
options
described in Section 6.3.8.4, “SSL Command Options”, and
Section 16.3.7, “Setting Up Replication Using SSL”. These options can
be changed even on slaves that are compiled without SSL support.
They are saved to the xxx
master.info
file, but
are ignored if the slave does not have SSL support enabled.
MASTER_SSL_CRL
and
MASTER_SSL_CRLPATH
were added in MySQL 5.6.3.
MASTER_CONNECT_RETRY
specifies how many
seconds to wait between connect retries. The default is 60.
MASTER_RETRY_COUNT
, added in MySQL 5.6.1,
limits the number of reconnection attempts
and updates the value of the
Master_Retry_Count
column in the output of
SHOW SLAVE STATUS
(also added in
MySQL 5.6.1). The default value is 24 * 3600 = 86400.
MASTER_RETRY_COUNT
is intended to replace the
older --master-retry-count
server
option, and is now the preferred method for setting this limit.
You are encouraged not to rely on
--master-retry-count
in new
applications and, when upgrading to MySQL 5.6.1 or later from
earlier versions of MySQL, to update any existing applications
that rely on it, so that they use CHANGE MASTER TO ...
MASTER_RETRY_COUNT
instead.
MASTER_DELAY
specifies how many seconds
behind the master the slave must lag. An event received from the
master is not executed until at least
interval
seconds later than its
execution on the master. The default is 0. An error occurs if
interval
is not a nonnegative integer
in the range from 0 to 231–1.
For more information, see Section 16.3.9, “Delayed Replication”.
This option was added in MySQL 5.6.0.
MASTER_BIND
is for use on replication slaves
having multiple network interfaces, and determines which of the
slave's network interfaces is chosen for connecting to the
master.
The address configured with this option, if any, can be seen in
the Master_Bind
column of the output from
SHOW SLAVE STATUS
. If you are
using slave status log tables (server started with
--master-info-repository=TABLE
),
the value can also be seen as the Master_bind
column of the mysql.slave_master_info
table.
The ability to bind a replication slave to a specific network interface was added in MySQL 5.6.2.
MASTER_HEARTBEAT_PERIOD
sets the interval in
seconds between replication heartbeats. Whenever the master's
binary log is updated with an event, the waiting period for the
next heartbeat is reset. interval
is
a decimal value having the range 0 to 4294967 seconds and a
resolution in milliseconds; the smallest nonzero value is 0.001.
Heartbeats are sent by the master only if there are no unsent
events in the binary log file for a period longer than
interval
.
If you are logging master connection information to tables,
MASTER_HEARTBEAT_PERIOD
can be seen as the
value of the Heartbeat
column of the
mysql.slave_master_info
table.
Setting interval
to 0 disables
heartbeats altogether. The default value for
interval
is equal to the value of
slave_net_timeout
divided by 2.
Setting @@global.slave_net_timeout
to a value
less than that of the current heartbeat interval results in a
warning being issued. The effect of issuing
RESET SLAVE
on the heartbeat
interval is to reset it to the default value.
MASTER_LOG_FILE
and
MASTER_LOG_POS
are the coordinates at which
the slave I/O thread should begin reading from the master the
next time the thread starts. RELAY_LOG_FILE
and RELAY_LOG_POS
are the coordinates at
which the slave SQL thread should begin reading from the relay
log the next time the thread starts. If you specify either of
MASTER_LOG_FILE
or
MASTER_LOG_POS
, you cannot specify
RELAY_LOG_FILE
or
RELAY_LOG_POS
. In MySQL 5.6.5 and later, if
you specify either of MASTER_LOG_FILE
or
MASTER_LOG_POS
, you also cannot specify
MASTER_AUTO_POSITION = 1
(described later in
this section). If neither of MASTER_LOG_FILE
or MASTER_LOG_POS
is specified, the slave
uses the last coordinates of the slave SQL
thread before CHANGE MASTER
TO
was issued. This ensures that there is no
discontinuity in replication, even if the slave SQL thread was
late compared to the slave I/O thread, when you merely want to
change, say, the password to use.
MASTER_AUTO_POSITION
was added in MySQL
5.6.5. If MASTER_AUTO_POSITION = 1
is used
with CHANGE MASTER TO
, the slave attempts to
connect to the master using the GTID-based replication protocol.
In this case, the coordinates represented by
MASTER_LOG_FILE
and
MASTER_LOG_POS
are not used, and global
transaction identifiers are used instead. Thus the use of either
or both of these options together with
MASTER_AUTO_POSITION
causes an error.
gtid_mode
must also be enabled
before issuing CHANGE MASTER TO ...
MASTER_AUTO_POSITION = 1
. Otherwise, the statement
fails with an error.
Currently, MASTER_AUTO_POSITION
does not
accept any value other than 1. To revert to the older file-based
replication protocol, you can issue a new CHANGE MASTER
TO
statement that specifies at least one of
MASTER_LOG_FILE
or
MASTER_LOG_POSITION
. This statement should
not include any MASTER_AUTO_POSITION
clause,
as discussed previously.
CHANGE MASTER TO
deletes all relay log files and starts a
new one, unless you specify RELAY_LOG_FILE
or
RELAY_LOG_POS
. In that case, relay log files
are kept; the relay_log_purge
global variable is set silently to 0.
Prior to MySQL 5.6.2, RELAY_LOG_FILE
required
an absolute path. Beginning with MySQL 5.6.2, the path can be
relative, in which case it is assumed to be relative to the
slave's data directory. (Bug #12190)
IGNORE_SERVER_IDS
takes a comma-separated
list of 0 or more server IDs. Events originating from the
corresponding servers are ignored, with the exception of log
rotation and deletion events, which are still recorded in the
relay log.
In circular replication, the originating server normally acts as
the terminator of its own events, so that they are not applied
more than once. Thus, this option is useful in circular
replication when one of the servers in the circle is removed.
Suppose that you have a circular replication setup with 4
servers, having server IDs 1, 2, 3, and 4, and server 3 fails.
When bridging the gap by starting replication from server 2 to
server 4, you can include IGNORE_SERVER_IDS =
(3)
in the CHANGE MASTER
TO
statement that you issue on server 4 to tell it to
use server 2 as its master instead of server 3. Doing so causes
it to ignore and not to propagate any statements that originated
with the server that is no longer in use.
If a CHANGE MASTER TO
statement
is issued without any IGNORE_SERVER_IDS
option, any existing list is preserved;
RESET SLAVE
also has no effect on
the server ID list. To clear the list of ignored servers, it is
necessary to use the option with an empty list:
CHANGE MASTER TO IGNORE_SERVER_IDS = ();
If IGNORE_SERVER_IDS
contains the
server's own ID and the server was started with the
--replicate-same-server-id
option
enabled, an error results.
In MySQL 5.6, the master.info
file and the output of SHOW SLAVE
STATUS
provide the list of servers that are currently
ignored. For more information, see
Section 16.2.2.2, “Slave Status Logs”, and
Section 13.7.5.35, “SHOW SLAVE STATUS
Syntax”.
In MySQL 5.6, invoking CHANGE
MASTER TO
causes the previous values for
MASTER_HOST
, MASTER_PORT
,
MASTER_LOG_FILE
, and
MASTER_LOG_POS
to be written to the error
log, along with other information about the slave's state
prior to execution.
In MySQL 5.6.7 and later, CHANGE MASTER TO
causes an implicit commit of an ongoing transaction. See
Section 13.3.3, “Statements That Cause an Implicit Commit”.
CHANGE MASTER TO
is useful for
setting up a slave when you have the snapshot of the master and
have recorded the master binary log coordinates corresponding to
the time of the snapshot. After loading the snapshot into the
slave to synchronize it to the slave, you can run
CHANGE MASTER TO
MASTER_LOG_FILE='
on
the slave to specify the coordinates at which the slave should
begin reading the master binary log.
log_name
',
MASTER_LOG_POS=log_pos
The following example changes the master server the slave uses and establishes the master binary log coordinates from which the slave begins reading. This is used when you want to set up the slave to replicate the master:
CHANGE MASTER TO MASTER_HOST='master2.mycompany.com', MASTER_USER='replication', MASTER_PASSWORD='bigs3cret', MASTER_PORT=3306, MASTER_LOG_FILE='master2-bin.001', MASTER_LOG_POS=4, MASTER_CONNECT_RETRY=10;
The next example shows an operation that is less frequently
employed. It is used when the slave has relay log files that you
want it to execute again for some reason. To do this, the master
need not be reachable. You need only use
CHANGE MASTER TO
and start the
SQL thread (START SLAVE SQL_THREAD
):
CHANGE MASTER TO RELAY_LOG_FILE='slave-relay-bin.006', RELAY_LOG_POS=4025;
You can even use the second operation in a nonreplication setup
with a standalone, nonslave server for recovery following a
crash. Suppose that your server has crashed and you have
restored it from a backup. You want to replay the server's own
binary log files (not relay log files, but regular binary log
files), named (for example) myhost-bin.*
.
First, make a backup copy of these binary log files in some safe
place, in case you don't exactly follow the procedure below and
accidentally have the server purge the binary log. Use
SET GLOBAL relay_log_purge=0
for additional
safety. Then start the server without the
--log-bin
option, Instead, use
the --replicate-same-server-id
,
--relay-log=myhost-bin
(to make
the server believe that these regular binary log files are relay
log files) and --skip-slave-start
options. After the server starts, issue these statements:
CHANGE MASTER TO RELAY_LOG_FILE='myhost-bin.153', RELAY_LOG_POS=410, MASTER_HOST='some_dummy_string'; START SLAVE SQL_THREAD;
The server reads and executes its own binary log files, thus
achieving crash recovery. Once the recovery is finished, run
STOP SLAVE
, shut down the server,
delete the master.info
and
relay-log.info
files, and restart the
server with its original options.
Specifying the MASTER_HOST
option (even with
a dummy value) is required to make the server think it is a
slave.
The following table shows the maximum permissible length for the string-valued options.
Option | Maximum Length |
---|---|
MASTER_HOST | 60 |
MASTER_USER | 16 |
MASTER_PASSWORD | 32 |
MASTER_LOG_FILE | 255 |
RELAY_LOG_FILE | 255 |
MASTER_SSL_CA | 255 |
MASTER_SSL_CAPATH | 255 |
MASTER_SSL_CERT | 255 |
MASTER_SSL_CRL | 255 |
MASTER_SSL_CRLPATH | 255 |
MASTER_SSL_KEY | 255 |
MASTER_SSL_CIPHER | 511 |
SELECT MASTER_POS_WAIT('master_log_file
',master_log_pos
[,timeout
])
This is actually a function, not a statement. It is used to ensure that the slave has read and executed events up to a given position in the master's binary log. See Section 12.15, “Miscellaneous Functions”, for a full description.
RESET SLAVE [ALL]
RESET SLAVE
makes the slave
forget its replication position in the master's binary log. This
statement is meant to be used for a clean start: It deletes the
master.info
and
relay-log.info
files, all the relay log
files, and starts a new relay log file. It also resets to 0 the
replication delay specified with the
MASTER_DELAY
option to CHANGE MASTER
TO
. To use RESET SLAVE
,
the slave replication threads must be stopped (use
STOP SLAVE
if necessary).
All relay log files are deleted, even if they have not been
completely executed by the slave SQL thread. (This is a
condition likely to exist on a replication slave if you have
issued a STOP SLAVE
statement
or if the slave is highly loaded.)
In MySQL 5.6 (unlike the case in MySQL 5.1 and
earlier), RESET SLAVE
does not
change any replication connection parameters such as master
host, master port, master user, or master password, which are
retained in memory. This means that START
SLAVE
can be issued without requiring a
CHANGE MASTER TO
statement
following RESET SLAVE
.
Connection parameters are reset if the slave
mysqld is shut down following RESET
SLAVE
. In MySQL 5.6.3 and later, you can instead use
RESET SLAVE ALL
to reset these connection
parameters (Bug #11809016).
In MySQL 5.6.7 and later, RESET SLAVE
causes
an implicit commit of an ongoing transaction. See
Section 13.3.3, “Statements That Cause an Implicit Commit”.
If the slave SQL thread was in the middle of replicating
temporary tables when it was stopped, and
RESET SLAVE
is issued, these
replicated temporary tables are deleted on the slave.
SET GLOBAL sql_slave_skip_counter = N
This statement skips the next N
events from the master. This is useful for recovering from
replication stops caused by a statement.
This statement is valid only when the slave threads are not running. Otherwise, it produces an error.
When using this statement, it is important to understand that the binary log is actually organized as a sequence of groups known as event groups. Each event group consists of a sequence of events.
For transactional tables, an event group corresponds to a transaction.
For nontransactional tables, an event group corresponds to a single SQL statement.
A single transaction can contain changes to both transactional and nontransactional tables.
When you use SET GLOBAL
sql_slave_skip_counter
to skip events and the result
is in the middle of a group, the slave continues to skip events
until it reaches the end of the group. Execution then starts
with the next event group.
In MySQL 5.6, issuing this statement causes the
previous values of RELAY_LOG_FILE
,
RELAY_LOG_POS
, and
sql_slave_skip_counter
to be
written to the error log.
START SLAVE [thread_types
] START SLAVE [thread_types
] UNTIL {SQL_BEFORE_GTIDS | SQL_AFTER_GTIDS} =gtid_set
START SLAVE [SQL_THREAD] UNTIL MASTER_LOG_FILE = 'log_name
', MASTER_LOG_POS =log_pos
START SLAVE [SQL_THREAD] UNTIL RELAY_LOG_FILE = 'log_name
', RELAY_LOG_POS =log_pos
START SLAVE [SQL_THREAD] UNTIL SQL_AFTER_MTS_GAPS START SLAVE [USER='user_name
'] [PASSWORD='user_pass
'] [DEFAULT_AUTH='plugin_name
'] [PLUGIN_DIR='plugin_dir
']thread_types
: [thread_type
[,thread_type
] ... ]thread_type
: IO_THREAD | SQL_THREADgtid_set
:uuid
:first_transaction_id
[-last_transaction_id
]
START SLAVE
with no
thread_type
options starts both of
the slave threads. The I/O thread reads events from the master
server and stores them in the relay log. The SQL thread reads
events from the relay log and executes them.
START SLAVE
requires the
SUPER
privilege.
If START SLAVE
succeeds in
starting the slave threads, it returns without any error.
However, even in that case, it might be that the slave threads
start and then later stop (for example, because they do not
manage to connect to the master or read its binary log, or some
other problem). START SLAVE
does
not warn you about this. You must check the slave's error log
for error messages generated by the slave threads, or check that
they are running satisfactorily with SHOW
SLAVE STATUS
.
In MySQL 5.6.7 and later, START SLAVE
causes
an implicit commit of an ongoing transaction. See
Section 13.3.3, “Statements That Cause an Implicit Commit”.
MySQL 5.6.4 and later supports pluggable user-password
authentication with START SLAVE
with the
USER
, PASSWORD
,
DEFAULT_AUTH
and
PLUGIN_DIR
options, as described in the
following list:
USER
: User name. Cannot be set to an
empty or null string, or left unset if
PASSWORD
is used.
PASSWORD
: Password.
DEFAULT_AUTH
: Name of plugin; default is
MySQL native authentication.
PLUGIN_DIR
: Location of plugin.
See Section 6.3.6, “Pluggable Authentication”, for more information.
The SQL_THREAD
option cannot be used with any
of the options in the preceding list. The
IO_THREAD
option can be used, but is ignored.
If an insecure connection is used with any these options, the server issues the warning Sending passwords in plain text without SSL/TLS is extremely insecure.
Starting with MySQL 5.6.6, START SLAVE ...
UNTIL
supports two additional options for use with
global transaction identifiers (GTIDs) (see
Section 16.1.3, “Replication with Global Transaction Identifiers”). Each of these takes a set
of one or more global transaction identifiers
gtid_set
as an argument (see
GTID sets, for more
information).
When no thread_type
is specified,
START SLAVE UNTIL SQL_BEFORE_GTIDS
causes
both the slave SQL thread to process and the slave I/O thread to
fetch transactions until both of them have reached the
first transaction whose GTID is listed in
the gtid_set
. START SLAVE
UNTIL SQL_AFTER_GTIDS
causes the slave threads to
process all transactions until the
last
transaction in the
gtid_set
has been processed by both
threads. In other words, START SLAVE UNTIL
SQL_BEFORE_GTIDS
causes the slave SQL to process and
I/O threads to fetch all transactions occurring before the first
GTID in the gtid_set
is reached, and
START SLAVE UNTIL SQL_AFTER_GTIDS
causes the
slave threads to handle all transactions, including those whose
GTIDs are found in gtid_set
, until
each has encountered a transaction whose GTID is not part of the
set. SQL_BEFORE_GTIDS
and
SQL_AFTER_GTIDS
each support the
SQL_THREAD
and IO_THREAD
options.
For example, START SLAVE SQL_THREAD UNTIL
SQL_BEFORE_GTIDS =
3E11FA47-71CA-11E1-9E33-C80AA9429562:11-56
causes the
slave SQL thread to process all transactions originating from
the master whose server_uuid
is
3E11FA47-71CA-11E1-9E33-C80AA9429562
until it
encounters the transaction having sequence number 11; it then
stops without processing this transaction. In other words, all
transactions up to and including the transaction with sequence
number 10 are processed. Executing START SLAVE
IO_THREAD UNTIL SQL_AFTER_GTIDS =
3E11FA47-71CA-11E1-9E33-C80AA9429562:11-56
, on the
other hand, would cause the slave I/O thread to obtain all
transactions just mentioned from the master, including all of
the transactions having the sequence numbers 11 through 56, and
then to stop without processing any additional transactions;
that is, the transaction having sequence number 56 would be the
last transaction fetched by the slave I/O thread.
With neither the SQL_THREAD
option nor the
IO_THREAD
option, the previous statement
would cause the slave SQL thread to execute all transactions
originating from this master, including all transactions with
sequence numbers 11 through 56, and then to stop without
processing any additional transactions. The same command would
also cause the slave I/O thread to start. When the SQL thread
reaches the condition, it is stopped. In other words,
START SLAVE UNTIL SQL_BEFORE_GTIDS
has the
same effect as START SLAVE SQL_THREAD, IO_THREAD UNTIL
SQL_BEFORE_GTIDS
; the slave SQL thread and slave I/O
thread are each started, and the SQL thread continues executing
transactions until the stop condition for that thread is met.
(Similarly, START SLAVE UNTIL SQL_AFTER_GTIDS
is effectively the same as START SLAVE SQL_THREAD,
IO_THREAD UNTIL SQL_AFTER_GTIDS
.)
The SQL_BEFORE_GTIDS
and
SQL_AFTER_GTIDS
keywords are present in the
MySQL 5.6.5 server; however, neither of them functioned
correctly as options with START SLAVE [SQL_THREAD |
IO_THREAD] UNTIL
in that version, and are therefore
supported beginning only with MySQL 5.6.6. (Bug#13810456)
START SLAVE UNTIL SQL_AFTER_MTS_GAPS
is
available in MySQL 5.6.6 or later. This statement causes a
multi-threaded slave's SQL threads to run until no more
gaps are found in the relay log, and then to stop. This
statement can take an SQL_THREAD
option, but
the effects of the statement remain unchanged. It has no effect
on the slave I/O thread (and cannot be used with the
IO_THREAD
option). START SLAVE UNTIL
SQL_AFTER_MTS_GAPS
should be used before switching the
slave from multi-threaded mode to single-threaded mode (that is,
when resetting
slave_parallel_workers
back to
0 from a positive, nonzero value) after slave has failed with
errors in multi-threaded mode.
To change a failed multi-threaded slave to single-threaded mode, you can issue the following series of statements, in the order shown:
START SLAVE UNTIL SQL_AFTER_MTS_GAPS; SET @@GLOBAL.slave_parallel_workers = 0; START SLAVE SQL_THREAD;
If you were running the failed multi-threaded slave with
relay_log_recovery
enabled,
then you must issue START SLAVE UNTIL
SQL_AFTER_MTS_GAPS
prior to executing
CHANGE MASTER TO
. Otherwise the
latter statement fails.
It is possible to view the entire text of a running
START SLAVE ...
statement, including any
USER
or PASSWORD
values
used, in the output of SHOW
PROCESSLIST
. This is also true for the text of a
running CHANGE MASTER TO
statement, including any values it employs for
MASTER_USER
or
MASTER_PASSWORD
.
START SLAVE
sends an
acknowledgment to the user after both the I/O thread and the SQL
thread have started. However, the I/O thread may not yet have
connected. For this reason, a successful
START SLAVE
causes
SHOW SLAVE STATUS
to show
Slave_SQL_Running=Yes
, but this does not
guarantee that Slave_IO_Running=Yes
(because
Slave_IO_Running=Yes
only if the I/O thread
is running and connected). For more
information, see Section 13.7.5.35, “SHOW SLAVE STATUS
Syntax”, and
Section 16.1.5.1, “Checking Replication Status”.
You can add IO_THREAD
and
SQL_THREAD
options to the statement to name
which of the threads to start. In MySQL 5.6.4 and later, the
SQL_THREAD
option is disallowed when
specifying USER
, PASSWORD
,
or both (Bug #13083642).
An UNTIL
clause may be added to specify that
the slave should start and run until the SQL thread reaches a
given point in the master binary log or in the slave relay log.
When the SQL thread reaches that point, it stops. If the
SQL_THREAD
option is specified in the
statement, it starts only the SQL thread. Otherwise, it starts
both slave threads. If the SQL thread is running, the
UNTIL
clause is ignored and a warning is
issued.
In MySQL 5.6.6 and later, it is also possible with
START SLAVE UNTIL
to specify a stop point
relative to a given GTID or set of GTIDs using one of the
options SQL_BEFORE_GTIDS
or
SQL_AFTER_GTIDS
, as explained previously in
this section. When using one of these options, you can specify
SQL_THREAD
, IO_THREAD
,
both of these, or neither of them. If you specify only
SQL_THREAD
, then only the slave SQL thread is
affected by the statement; if only IO_THREAD
is used, then only the slave I/O is affected. If both
SQL_THREAD
and IO_THREAD
are used, or if neither of them is used, then both the SQL and
I/O threads are affected by the statement.
The UNTIL
clause is not supported for
multi-threaded slaves except when also using
SQL_AFTER_MTS_GAPS
. Prior to MySQL 5.6.6,
UNTIL
was not supported at all for
multi-threaded slaves.
For an UNTIL
clause, you must specify any one
of the following:
Both a log file name and a position in that file
(MySQL 5.6.6 or later:) Either of
SQL_BEFORE_GTIDS
or
SQL_AFTER_GTIDS
(MySQL 5.6.6 or later:)
SQL_AFTER_MTS_GAPS
Do not mix master and relay log options. In MySQL 5.6.6 and later, do not mix log file options with GTID options.
Any UNTIL
condition is reset by a subsequent
STOP SLAVE
statement, a
START SLAVE
statement that
includes no UNTIL
clause, or a server
restart.
When specifying a log file and position, you can use the
IO_THREAD
option with START SLAVE
... UNTIL
even though only the SQL thread is affected
by this statement. The IO_THREAD
option is
ignored in such cases. The preceding restriction does not apply
when using one of the GTID options
(SQL_BEFORE_GTIDS
and
SQL_AFTER_GTIDS
) introduced in MySQL 5.6.6;
the GTID options support both SQL_THREAD
and
IO_THREAD
, as explained previously in this
section.
The UNTIL
clause can be useful for debugging
replication, or to cause replication to proceed until just
before the point where you want to avoid having the slave
replicate an event. For example, if an unwise
DROP TABLE
statement was executed
on the master, you can use UNTIL
to tell the
slave to execute up to that point but no farther. To find what
the event is, use mysqlbinlog with the master
binary log or slave relay log, or by using a
SHOW BINLOG EVENTS
statement.
If you are using UNTIL
to have the slave
process replicated queries in sections, it is recommended that
you start the slave with the
--skip-slave-start
option to
prevent the SQL thread from running when the slave server
starts. It is probably best to use this option in an option file
rather than on the command line, so that an unexpected server
restart does not cause it to be forgotten.
The SHOW SLAVE STATUS
statement
includes output fields that display the current values of the
UNTIL
condition.
In very old versions of MySQL (before 4.0.5), this statement was
called SLAVE START
. That syntax is no longer
accepted as of MySQL 5.6.1.
STOP SLAVE [thread_types
]thread_types
: [thread_type
[,thread_type
] ... ]thread_type
: IO_THREAD | SQL_THREAD
Stops the slave threads. STOP
SLAVE
requires the
SUPER
privilege. Recommended best
practice is to execute STOP SLAVE
on the
slave before stopping the slave server (see
Section 5.1.12, “The Shutdown Process”, for more information).
When using the row-based logging format:
You should execute STOP SLAVE
or
STOP SLAVE SQL_THREAD
on the slave prior to
shutting down the slave server if you are replicating any tables
that use a nontransactional storage engine (see the
Note later in this section).
Like START SLAVE
, this statement
may be used with the IO_THREAD
and
SQL_THREAD
options to name the thread or
threads to be stopped.
In MySQL 5.6.7 and later, STOP SLAVE
causes
an implicit commit of an ongoing transaction. See
Section 13.3.3, “Statements That Cause an Implicit Commit”.
In MySQL 5.6, STOP
SLAVE
waits until the current replication event
group affecting one or more non-transactional tables has
finished executing (if there is any such replication group),
or until the user issues a
KILL QUERY
or
KILL
CONNECTION
statement. (Bug #319, Bug #38205)
In old versions of MySQL (before 4.0.5), this statement was
called SLAVE STOP
. That syntax is no longer
accepted as of MySQL 5.6.1.
MySQL 5.6 provides support for server-side prepared statements. This support takes advantage of the efficient client/server binary protocol available since MySQL 4.1. Using prepared statements with placeholders for parameter values has the following benefits:
Less overhead for parsing the statement each time it is
executed. Typically, database applications process large volumes
of almost-identical statements, with only changes to literal or
variable values in clauses such as WHERE
for
queries and deletes, SET
for updates, and
VALUES
for inserts.
Protection against SQL injection attacks. The parameter values can contain unescaped SQL quote and delimiter characters.
You can use server-side prepared statements through client
programming interfaces, including the MySQL C API
client library or MySQL
Connector/C for C programs, MySQL
Connector/J for Java programs, and
MySQL Connector/Net for
programs using .NET technologies. For example, the C API provides a
set of function calls that make up its prepared statement API. See
Section 21.9.4, “C API Prepared Statements”. Other language
interfaces can provide support for prepared statements that use the
binary protocol by linking in the C client library, one example
being the
mysqli
extension, available in PHP 5.0 and later.
An alternative SQL interface to prepared statements is available. This interface is not as efficient as using the binary protocol through a prepared statement API, but requires no programming because it is available directly at the SQL level:
You can use it when no programming interface is available to you.
You can use it from any program that can send SQL statements to the server to be executed, such as the mysql client program.
You can use it even if the client is using an old version of the client library, as long as you connect to a server running MySQL 4.1 or higher.
SQL syntax for prepared statements is intended to be used for situations such as these:
To test how prepared statements work in your application before coding it.
To use prepared statements when you do not have access to a programming API that supports them.
To interactively troubleshoot application issues with prepared statements.
To create a test case that reproduces a problem with prepared statements, so that you can file a bug report.
PREPARE
, EXECUTE
, and DEALLOCATE PREPARE
Statements
SQL syntax for prepared statements is based on three SQL statements:
PREPARE
prepares a statement for
execution (see Section 13.5.1, “PREPARE
Syntax”).
EXECUTE
executes a prepared
statement (see Section 13.5.2, “EXECUTE
Syntax”).
DEALLOCATE PREPARE
releases a
prepared statement (see Section 13.5.3, “DEALLOCATE PREPARE
Syntax”).
The following examples show two equivalent ways of preparing a statement that computes the hypotenuse of a triangle given the lengths of the two sides.
The first example shows how to create a prepared statement by using a string literal to supply the text of the statement:
mysql>PREPARE stmt1 FROM 'SELECT SQRT(POW(?,2) + POW(?,2)) AS hypotenuse';
mysql>SET @a = 3;
mysql>SET @b = 4;
mysql>EXECUTE stmt1 USING @a, @b;
+------------+ | hypotenuse | +------------+ | 5 | +------------+ mysql>DEALLOCATE PREPARE stmt1;
The second example is similar, but supplies the text of the statement as a user variable:
mysql>SET @s = 'SELECT SQRT(POW(?,2) + POW(?,2)) AS hypotenuse';
mysql>PREPARE stmt2 FROM @s;
mysql>SET @a = 6;
mysql>SET @b = 8;
mysql>EXECUTE stmt2 USING @a, @b;
+------------+ | hypotenuse | +------------+ | 10 | +------------+ mysql>DEALLOCATE PREPARE stmt2;
Here is an additional example that demonstrates how to choose the table on which to perform a query at runtime, by storing the name of the table as a user variable:
mysql>USE test;
mysql>CREATE TABLE t1 (a INT NOT NULL);
mysql>INSERT INTO t1 VALUES (4), (8), (11), (32), (80);
mysql>SET @table = 't1';
mysql>SET @s = CONCAT('SELECT * FROM ', @table);
mysql>PREPARE stmt3 FROM @s;
mysql>EXECUTE stmt3;
+----+ | a | +----+ | 4 | | 8 | | 11 | | 32 | | 80 | +----+ mysql>DEALLOCATE PREPARE stmt3;
A prepared statement is specific to the session in which it was created. If you terminate a session without deallocating a previously prepared statement, the server deallocates it automatically.
A prepared statement is also global to the session. If you create a prepared statement within a stored routine, it is not deallocated when the stored routine ends.
To guard against too many prepared statements being created
simultaneously, set the
max_prepared_stmt_count
system
variable. To prevent the use of prepared statements, set the value
to 0.
The following SQL statements can be used as prepared statements:
ALTER TABLE ALTER USER (as of MySQL 5.6.8) ANALYZE TABLE CACHE INDEX CALL CHANGE MASTER CHECKSUM {TABLE | TABLES} COMMIT {CREATE | DROP} DATABASE {CREATE | RENAME | DROP} USER CREATE INDEX CREATE TABLE DELETE DO DROP INDEX DROP TABLE FLUSH {TABLE | TABLES | TABLES WITH READ LOCK | HOSTS | PRIVILEGES | LOGS | STATUS | MASTER | SLAVE | DES_KEY_FILE | USER_RESOURCES} GRANT INSERT INSTALL PLUGIN KILL LOAD INDEX INTO CACHE OPTIMIZE TABLE RENAME TABLE REPAIR TABLE REPLACE RESET {MASTER | SLAVE | QUERY CACHE} REVOKE SELECT SET SHOW BINLOG EVENTS SHOW CREATE {PROCEDURE | FUNCTION | EVENT | TABLE | VIEW} SHOW {AUTHORS | CONTRIBUTORS | WARNINGS | ERRORS} SHOW {MASTER | BINARY} LOGS SHOW {MASTER | SLAVE} STATUS SLAVE {START | STOP} TRUNCATE TABLE UNINSTALL PLUGIN UPDATE
Other statements are not currently supported.
Generally, statements not permitted in SQL prepared statements are also not permitted in stored programs. Exceptions are noted in Section E.1, “Restrictions on Stored Programs”.
Metadata changes to tables or views referred to by prepared statements are detected and cause automatic repreparation of the statement when it is next executed. For more information, see Section 8.9.4, “Caching of Prepared Statements and Stored Programs”.
Placeholders can be used for the arguments of the
LIMIT
clause when using prepared statements. See
Section 13.2.9, “SELECT
Syntax”.
In prepared CALL
statements used with
PREPARE
and
EXECUTE
, placeholder support for
OUT
and INOUT
parameters is
available beginning with MySQL 5.6. See
Section 13.2.1, “CALL
Syntax”, for an example and a workaround for earlier
versions. Placeholders can be used for IN
parameters regardless of version.
SQL syntax for prepared statements cannot be used in nested fashion.
That is, a statement passed to
PREPARE
cannot itself be a
PREPARE
,
EXECUTE
, or
DEALLOCATE PREPARE
statement.
SQL syntax for prepared statements is distinct from using prepared
statement API calls. For example, you cannot use the
mysql_stmt_prepare()
C API function
to prepare a PREPARE
,
EXECUTE
, or
DEALLOCATE PREPARE
statement.
SQL syntax for prepared statements can be used within stored
procedures, but not in stored functions or triggers. However, a
cursor cannot be used for a dynamic statement that is prepared and
executed with PREPARE
and
EXECUTE
. The statement for a cursor
is checked at cursor creation time, so the statement cannot be
dynamic.
SQL syntax for prepared statements does not support multi-statements
(that is, multiple statements within a single string separated by
“;
” characters).
Prepared statements use the query cache under the conditions described in Section 8.9.3.1, “How the Query Cache Operates”.
To write C programs that use the CALL
SQL statement to execute stored procedures that contain prepared
statements, the CLIENT_MULTI_RESULTS
flag must be
enabled. This is because each CALL
returns a result to indicate the call status, in addition to any
result sets that might be returned by statements executed within the
procedure.
CLIENT_MULTI_RESULTS
can be enabled when you call
mysql_real_connect()
, either
explicitly by passing the CLIENT_MULTI_RESULTS
flag itself, or implicitly by passing
CLIENT_MULTI_STATEMENTS
(which also enables
CLIENT_MULTI_RESULTS
). For additional
information, see Section 13.2.1, “CALL
Syntax”.
PREPAREstmt_name
FROMpreparable_stmt
The PREPARE
statement prepares a
statement and assigns it a name,
stmt_name
, by which to refer to the
statement later. Statement names are not case sensitive.
preparable_stmt
is either a string
literal or a user variable that contains the text of the
statement. The text must represent a single SQL statement, not
multiple statements. Within the statement,
“?
” characters can be used as
parameter markers to indicate where data values are to be bound to
the query later when you execute it. The
“?
” characters should not be
enclosed within quotation marks, even if you intend to bind them
to string values. Parameter markers can be used only where data
values should appear, not for SQL keywords, identifiers, and so
forth.
If a prepared statement with the given name already exists, it is deallocated implicitly before the new statement is prepared. This means that if the new statement contains an error and cannot be prepared, an error is returned and no statement with the given name exists.
A prepared statement is executed with
EXECUTE
and released with
DEALLOCATE PREPARE
.
The scope of a prepared statement is the session within which it is created. Other sessions cannot see it.
For examples, see Section 13.5, “SQL Syntax for Prepared Statements”.
EXECUTEstmt_name
[USING @var_name
[, @var_name
] ...]
After preparing a statement with
PREPARE
, you execute it with an
EXECUTE
statement that refers to
the prepared statement name. If the prepared statement contains
any parameter markers, you must supply a USING
clause that lists user variables containing the values to be bound
to the parameters. Parameter values can be supplied only by user
variables, and the USING
clause must name
exactly as many variables as the number of parameter markers in
the statement.
You can execute a given prepared statement multiple times, passing different variables to it or setting the variables to different values before each execution.
For examples, see Section 13.5, “SQL Syntax for Prepared Statements”.
{DEALLOCATE | DROP} PREPARE stmt_name
To deallocate a prepared statement produced with
PREPARE
, use a
DEALLOCATE PREPARE
statement that
refers to the prepared statement name. Attempting to execute a
prepared statement after deallocating it results in an error. If
too many prepared statements are created and not deallocated by
either the DEALLOCATE PREPARE
statement or the
end of the session, you might encounter the upper limit enforced
by the max_prepared_stmt_count
system variable.
For examples, see Section 13.5, “SQL Syntax for Prepared Statements”.
This section describes the syntax for the
BEGIN ... END
compound statement and other statements that can be used in the body
of stored programs: Stored procedures and functions, triggers, and
events. These objects are defined in terms of SQL code that is
stored on the server for later invocation (see
Chapter 18, Stored Programs and Views).
A compound statement is a block that can contain other blocks; declarations for variables, condition handlers, and cursors; and flow control constructs such as loops and conditional tests.
[begin_label
:] BEGIN [statement_list
] END [end_label
]
BEGIN ... END
syntax is used for writing compound statements, which can appear
within stored programs (stored procedures and functions, triggers,
and events). A compound statement can contain multiple statements,
enclosed by the BEGIN
and
END
keywords.
statement_list
represents a list of one
or more statements, each terminated by a semicolon
(;
) statement delimiter. The
statement_list
itself is optional, so
the empty compound statement (BEGIN END
) is
legal.
BEGIN ... END
blocks can be nested.
Use of multiple statements requires that a client is able to send
statement strings containing the ;
statement
delimiter. In the mysql command-line client,
this is handled with the delimiter
command.
Changing the ;
end-of-statement delimiter (for
example, to //
) permit ;
to
be used in a program body. For an example, see
Section 18.1, “Defining Stored Programs”.
A BEGIN ...
END
block can be labeled. See
Section 13.6.2, “Statement Label Syntax”.
The optional [NOT] ATOMIC
clause is not
supported. This means that no transactional savepoint is set at
the start of the instruction block and the
BEGIN
clause used in this context has no effect
on the current transaction.
Within all stored programs, the parser treats
BEGIN [WORK]
as the beginning of a
BEGIN ...
END
block. To begin a transaction in this context, use
START
TRANSACTION
instead.
[begin_label
:] BEGIN [statement_list
] END [end_label
] [begin_label
:] LOOPstatement_list
END LOOP [end_label
] [begin_label
:] REPEATstatement_list
UNTILsearch_condition
END REPEAT [end_label
] [begin_label
:] WHILEsearch_condition
DOstatement_list
END WHILE [end_label
]
Labels are permitted for
BEGIN ... END
blocks and for the LOOP
,
REPEAT
, and
WHILE
statements. Label use for
those statements follows these rules:
begin_label
must be followed by a
colon.
begin_label
can be given without
end_label
. If
end_label
is present, it must be
the same as begin_label
.
end_label
cannot be given without
begin_label
.
Labels at the same nesting level must be distinct.
Labels can be up to 16 characters long.
To refer to a label within the labeled construct, use an
ITERATE
or
LEAVE
statement. The following
example uses those statements to continue iterating or terminate
the loop:
CREATE PROCEDURE doiterate(p1 INT) BEGIN label1: LOOP SET p1 = p1 + 1; IF p1 < 10 THEN ITERATE label1; END IF; LEAVE label1; END LOOP label1; END;
The scope of a block label does not include the code for handlers
declared within the block. For details, see
Section 13.6.7.2, “DECLARE ...
HANDLER
Syntax”.
The DECLARE
statement is used to
define various items local to a program:
Local variables. See Section 13.6.4, “Variables in Stored Programs”.
Conditions and handlers. See Section 13.6.7, “Condition Handling”.
Cursors. See Section 13.6.6, “Cursors”.
DECLARE
is permitted only inside a
BEGIN ... END
compound statement and must be at its start, before any other
statements.
Declarations must follow a certain order. Cursor declarations must appear before handler declarations. Variable and condition declarations must appear before cursor or handler declarations.
System variables and user-defined variables can be used in stored
programs, just as they can be used outside stored-program context.
In addition, stored programs can use DECLARE
to
define local variables, and stored routines (procedures and
functions) can be declared to take parameters that communicate
values between the routine and its caller.
To declare local variables, use the
DECLARE
statement, as described in
Section 13.6.4.1, “Local Variable
DECLARE
Syntax”.
Variables can be set directly with the
SET
statement. See Section 13.7.4, “SET
Syntax”.
Results from queries can be retrieved into local variables
using SELECT ...
INTO
or by
opening a cursor and using
var_list
FETCH ... INTO
. See
Section 13.2.9.1, “var_list
SELECT ... INTO
Syntax”, and Section 13.6.6, “Cursors”.
For information about the scope of local variables and how MySQL resolves ambiguous names, see Section 13.6.4.2, “Local Variable Scope and Resolution”.
It is not permitted to assign the value DEFAULT
to stored procedure or function parameters or stored program local
variables (for example with a SET
statement). As of MySQL 5.6.6, this results in a syntax error.
var_name
= DEFAULT
DECLAREvar_name
[,var_name
] ...type
[DEFAULTvalue
]
This statement declares local variables within stored programs.
To provide a default value for a variable, include a
DEFAULT
clause. The value can be specified as
an expression; it need not be a constant. If the
DEFAULT
clause is missing, the initial value
is NULL
.
Local variables are treated like stored routine parameters with
respect to data type and overflow checking. See
Section 13.1.12, “CREATE PROCEDURE
and
CREATE FUNCTION
Syntax”.
Variable declarations must appear before cursor or handler declarations.
Local variable names are not case sensitive. Permissible characters and quoting rules are the same as for other identifiers, as described in Section 9.2, “Schema Object Names”.
The scope of a local variable is the
BEGIN ...
END
block within which it is declared. The variable
can be referred to in blocks nested within the declaring block,
except those blocks that declare a variable with the same name.
The scope of a local variable is the
BEGIN ...
END
block within which it is declared. The variable
can be referred to in blocks nested within the declaring block,
except those blocks that declare a variable with the same name.
Local variables are in scope only during stored program
execution. References to them are not permitted within prepared
statements because those are global to the current session and
the variables might have gone out of scope when the statement is
executed. For example, SELECT ... INTO
cannot be used as
a prepared statement.
local_var
A local variable should not have the same name as a table
column. If an SQL statement, such as a
SELECT ...
INTO
statement, contains a reference to a column and a
declared local variable with the same name, MySQL currently
interprets the reference as the name of a variable. Consider the
following procedure definition:
CREATE PROCEDURE sp1 (x VARCHAR(5)) BEGIN DECLARE xname VARCHAR(5) DEFAULT 'bob'; DECLARE newname VARCHAR(5); DECLARE xid INT; SELECT xname, id INTO newname, xid FROM table1 WHERE xname = xname; SELECT newname; END;
MySQL interprets xname
in the
SELECT
statement as a reference
to the xname
variable
rather than the xname
column. Consequently, when the procedure
sp1()
is called, the
newname
variable returns the value
'bob'
regardless of the value of the
table1.xname
column.
Similarly, the cursor definition in the following procedure
contains a SELECT
statement that
refers to xname
. MySQL interprets this as a
reference to the variable of that name rather than a column
reference.
CREATE PROCEDURE sp2 (x VARCHAR(5)) BEGIN DECLARE xname VARCHAR(5) DEFAULT 'bob'; DECLARE newname VARCHAR(5); DECLARE xid INT; DECLARE done TINYINT DEFAULT 0; DECLARE cur1 CURSOR FOR SELECT xname, id FROM table1; DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1; OPEN cur1; read_loop: LOOP FETCH FROM cur1 INTO newname, xid; IF done THEN LEAVE read_loop; END IF; SELECT newname; END LOOP; CLOSE cur1; END;
MySQL supports the IF
,
CASE
,
ITERATE
,
LEAVE
LOOP
,
WHILE
, and
REPEAT
constructs for flow control
within stored programs. It also supports
RETURN
within stored functions.
Many of these constructs contain other statements, as indicated by
the grammar specifications in the following sections. Such
constructs may be nested. For example, an
IF
statement might contain a
WHILE
loop, which itself contains a
CASE
statement.
MySQL does not support FOR
loops.
CASEcase_value
WHENwhen_value
THENstatement_list
[WHENwhen_value
THENstatement_list
] ... [ELSEstatement_list
] END CASE
Or:
CASE WHENsearch_condition
THENstatement_list
[WHENsearch_condition
THENstatement_list
] ... [ELSEstatement_list
] END CASE
The CASE
statement for stored
programs implements a complex conditional construct.
There is also a CASE
expression, which differs from the
CASE
statement described here. See
Section 12.4, “Control Flow Functions”. The
CASE
statement cannot have an
ELSE NULL
clause, and it is terminated with
END CASE
instead of END
.
For the first syntax, case_value
is
an expression. This value is compared to the
when_value
expression in each
WHEN
clause until one of them is equal. When
an equal when_value
is found, the
corresponding THEN
clause
statement_list
executes. If no
when_value
is equal, the
ELSE
clause
statement_list
executes, if there is
one.
This syntax cannot be used to test for equality with
NULL
because NULL = NULL
is false. See Section 3.3.4.6, “Working with NULL
Values”.
For the second syntax, each WHEN
clause
search_condition
expression is
evaluated until one is true, at which point its corresponding
THEN
clause
statement_list
executes. If no
search_condition
is equal, the
ELSE
clause
statement_list
executes, if there is
one.
If no when_value
or
search_condition
matches the value
tested and the CASE
statement
contains no ELSE
clause, a Case
not found for CASE statement error results.
Each statement_list
consists of one
or more SQL statements; an empty
statement_list
is not permitted.
To handle situations where no value is matched by any
WHEN
clause, use an ELSE
containing an empty
BEGIN ...
END
block, as shown in this example. (The indentation
used here in the ELSE
clause is for purposes
of clarity only, and is not otherwise significant.)
DELIMITER | CREATE PROCEDURE p() BEGIN DECLARE v INT DEFAULT 1; CASE v WHEN 2 THEN SELECT v; WHEN 3 THEN SELECT 0; ELSE BEGIN END; END CASE; END; |
IFsearch_condition
THENstatement_list
[ELSEIFsearch_condition
THENstatement_list
] ... [ELSEstatement_list
] END IF
The IF
statement for stored
programs implements a basic conditional construct.
There is also an IF()
function, which differs from the
IF
statement described here. See
Section 12.4, “Control Flow Functions”. The
IF
statement can have
THEN
, ELSE
, and
ELSEIF
clauses, and it is terminated with
END IF
.
If the search_condition
evaluates to
true, the corresponding THEN
or
ELSEIF
clause
statement_list
executes. If no
search_condition
matches, the
ELSE
clause
statement_list
executes.
Each statement_list
consists of one
or more SQL statements; an empty
statement_list
is not permitted.
An IF ... END IF
block, like all other
flow-control blocks used within stored programs, must be
terminated with a semicolon, as shown in this example:
DELIMITER // CREATE FUNCTION SimpleCompare(n INT, m INT) RETURNS VARCHAR(20) BEGIN DECLARE s VARCHAR(20); IF n > m THEN SET s = '>'; ELSEIF n = m THEN SET s = '='; ELSE SET s = '<'; END IF; SET s = CONCAT(n, ' ', s, ' ', m); RETURN s; END // DELIMITER ;
As with other flow-control constructs, IF ... END
IF
blocks may be nested within other flow-control
constructs, including other IF
statements. Each IF
must be
terminated by its own END IF
followed by a
semicolon. You can use indentation to make nested flow-control
blocks more easily readable by humans (although this is not
required by MySQL), as shown here:
DELIMITER // CREATE FUNCTION VerboseCompare (n INT, m INT) RETURNS VARCHAR(50) BEGIN DECLARE s VARCHAR(50); IF n = m THEN SET s = 'equals'; ELSE IF n > m THEN SET s = 'greater'; ELSE SET s = 'less'; END IF; SET s = CONCAT('is ', s, ' than'); END IF; SET s = CONCAT(n, ' ', s, ' ', m, '.'); RETURN s; END // DELIMITER ;
In this example, the inner IF
is
evaluated only if n
is not equal to
m
.
ITERATE label
ITERATE
can appear only within
LOOP
,
REPEAT
, and
WHILE
statements.
ITERATE
means “start the
loop again.”
For an example, see Section 13.6.5.5, “LOOP
Syntax”.
LEAVE label
This statement is used to exit the flow control construct that
has the given label. If the label is for the outermost stored
program block, LEAVE
exits the
program.
LEAVE
can be used within
BEGIN ...
END
or loop constructs
(LOOP
,
REPEAT
,
WHILE
).
For an example, see Section 13.6.5.5, “LOOP
Syntax”.
[begin_label
:] LOOPstatement_list
END LOOP [end_label
]
LOOP
implements a simple loop
construct, enabling repeated execution of the statement list,
which consists of one or more statements, each terminated by a
semicolon (;
) statement delimiter. The
statements within the loop are repeated until the loop is
terminated. Usually, this is accomplished with a
LEAVE
statement. Within a stored
function, RETURN
can also be
used, which exits the function entirely.
Neglecting to include a loop-termination statement results in an infinite loop.
A LOOP
statement can be labeled.
For the rules regarding label use, see
Section 13.6.2, “Statement Label Syntax”.
Example:
CREATE PROCEDURE doiterate(p1 INT) BEGIN label1: LOOP SET p1 = p1 + 1; IF p1 < 10 THEN ITERATE label1; END IF; LEAVE label1; END LOOP label1; SET @x = p1; END;
[begin_label
:] REPEATstatement_list
UNTILsearch_condition
END REPEAT [end_label
]
The statement list within a
REPEAT
statement is repeated
until the search_condition
expression
is true. Thus, a REPEAT
always
enters the loop at least once.
statement_list
consists of one or
more statements, each terminated by a semicolon
(;
) statement delimiter.
A REPEAT
statement can be
labeled. For the rules regarding label use, see
Section 13.6.2, “Statement Label Syntax”.
Example:
mysql>delimiter //
mysql>CREATE PROCEDURE dorepeat(p1 INT)
->BEGIN
->SET @x = 0;
->REPEAT
->SET @x = @x + 1;
->UNTIL @x > p1 END REPEAT;
->END
->//
Query OK, 0 rows affected (0.00 sec) mysql>CALL dorepeat(1000)//
Query OK, 0 rows affected (0.00 sec) mysql>SELECT @x//
+------+ | @x | +------+ | 1001 | +------+ 1 row in set (0.00 sec)
RETURN expr
The RETURN
statement terminates
execution of a stored function and returns the value
expr
to the function caller. There
must be at least one RETURN
statement in a stored function. There may be more than one if
the function has multiple exit points.
This statement is not used in stored procedures, triggers, or
events. The LEAVE
statement can
be used to exit a stored program of those types.
[begin_label
:] WHILEsearch_condition
DOstatement_list
END WHILE [end_label
]
The statement list within a WHILE
statement is repeated as long as the
search_condition
expression is true.
statement_list
consists of one or
more SQL statements, each terminated by a semicolon
(;
) statement delimiter.
A WHILE
statement can be labeled.
For the rules regarding label use, see
Section 13.6.2, “Statement Label Syntax”.
Example:
CREATE PROCEDURE dowhile() BEGIN DECLARE v1 INT DEFAULT 5; WHILE v1 > 0 DO ... SET v1 = v1 - 1; END WHILE; END;
MySQL supports cursors inside stored programs. The syntax is as in embedded SQL. Cursors have these properties:
Asensitive: The server may or may not make a copy of its result table
Read only: Not updatable
Nonscrollable: Can be traversed only in one direction and cannot skip rows
Cursor declarations must appear before handler declarations and after variable and condition declarations.
Example:
CREATE PROCEDURE curdemo() BEGIN DECLARE done INT DEFAULT FALSE; DECLARE a CHAR(16); DECLARE b, c INT; DECLARE cur1 CURSOR FOR SELECT id,data FROM test.t1; DECLARE cur2 CURSOR FOR SELECT i FROM test.t2; DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = TRUE; OPEN cur1; OPEN cur2; read_loop: LOOP FETCH cur1 INTO a, b; FETCH cur2 INTO c; IF done THEN LEAVE read_loop; END IF; IF b < c THEN INSERT INTO test.t3 VALUES (a,b); ELSE INSERT INTO test.t3 VALUES (a,c); END IF; END LOOP; CLOSE cur1; CLOSE cur2; END;
CLOSE cursor_name
This statement closes a previously opened cursor. For an example, see Section 13.6.6, “Cursors”.
An error occurs if the cursor is not open.
If not closed explicitly, a cursor is closed at the end of the
BEGIN ...
END
block in which it was declared.
DECLAREcursor_name
CURSOR FORselect_statement
This statement declares a cursor and associates it with a
SELECT
statement that retrieves
the rows to be traversed by the cursor. To fetch the rows later,
use a FETCH
statement. The number
of columns retrieved by the
SELECT
statement must match the
number of output variables specified in the
FETCH
statement.
The SELECT
statement cannot have
an INTO
clause.
Cursor declarations must appear before handler declarations and after variable and condition declarations.
A stored program may contain multiple cursor declarations, but each cursor declared in a given block must have a unique name. For an example, see Section 13.6.6, “Cursors”.
For information available through
SHOW
statements, it is possible
in many cases to obtain equivalent information by using a cursor
with an INFORMATION_SCHEMA
table.
FETCH [[NEXT] FROM]cursor_name
INTOvar_name
[,var_name
] ...
This statement fetches the next row for the
SELECT
statement associated with
the specified cursor (which must be open), and advances the
cursor pointer. If a row exists, the fetched columns are stored
in the named variables. The number of columns retrieved by the
SELECT
statement must match the
number of output variables specified in the
FETCH
statement.
If no more rows are available, a No Data condition occurs with
SQLSTATE value '02000'
. To detect this
condition, you can set up a handler for it (or for a
NOT FOUND
condition). For an example, see
Section 13.6.6, “Cursors”.
OPEN cursor_name
This statement opens a previously declared cursor. For an example, see Section 13.6.6, “Cursors”.
Conditions may arise during stored program execution that require special handling, such as exiting the current program block or continuing execution. Handlers can be defined for general conditions such as warnings or exceptions, or for specific conditions such as a particular error code. Specific conditions can be assigned names and referred to that way in handlers.
To name a condition, use the
DECLARE ...
CONDITION
statement. To declare a handler, use the
DECLARE ...
HANDLER
statement. See
Section 13.6.7.1, “DECLARE ...
CONDITION
Syntax”, and
Section 13.6.7.2, “DECLARE ...
HANDLER
Syntax”. For information about how the
server chooses handlers when a condition occurs, see
Section 13.6.7.6, “Scope Rules for Handlers”.
To raise a condition, use the
SIGNAL
statement. To modify
condition information within a condition handler, use
RESIGNAL
. See
Section 13.6.7.1, “DECLARE ...
CONDITION
Syntax”, and
Section 13.6.7.2, “DECLARE ...
HANDLER
Syntax”.
To retrieve information from diagnostics area, use the
GET DIAGNOSTICS
statement (see
Section 13.6.7.3, “GET DIAGNOSTICS
Syntax”). For information about the
diagnostics area, see Section 13.6.7.7, “The MySQL Diagnostics Area”.
DECLAREcondition_name
CONDITION FORcondition_value
condition_value
:mysql_error_code
| SQLSTATE [VALUE]sqlstate_value
The DECLARE
... CONDITION
statement declares a named error
condition, associating a name with a condition that needs
specific handling. The name can be referred to in a subsequent
DECLARE ...
HANDLER
statement (see
Section 13.6.7.2, “DECLARE ...
HANDLER
Syntax”).
Condition declarations must appear before cursor or handler declarations.
The condition_value
for
DECLARE ...
CONDITION
can be a MySQL error code (a number) or an
SQLSTATE value (a 5-character string literal). You should not
use MySQL error code 0 or SQLSTATE values that begin with
'00'
, because those indicate success rather
than an error condition. For a list of MySQL error codes and
SQLSTATE values, see Section C.3, “Server Error Codes and Messages”.
Using names for conditions can help make stored program code clearer. For example, this handler applies to attempts to drop a nonexistent table, but that is apparent only if you know the meaning of MySQL error code 1051:
DECLARE CONTINUE HANDLER FOR 1051 BEGIN -- body of handler END;
By declaring a name for the condition, the purpose of the handler is more readily seen:
DECLARE no_such_table CONDITION FOR 1051; DECLARE CONTINUE HANDLER FOR no_such_table BEGIN -- body of handler END;
Here is a named condition for the same condition, but based on the corresponding SQLSTATE value rather than the MySQL error code:
DECLARE no_such_table CONDITION FOR SQLSTATE '42S02'; DECLARE CONTINUE HANDLER FOR no_such_table BEGIN -- body of handler END;
Condition names referred to in
SIGNAL
or use
RESIGNAL
statements must be
associated with SQLSTATE values, not MySQL error codes.
DECLAREhandler_action
HANDLER FORcondition_value
[,condition_value
] ...statement
handler_action
: CONTINUE | EXIT | UNDOcondition_value
:mysql_error_code
| SQLSTATE [VALUE]sqlstate_value
|condition_name
| SQLWARNING | NOT FOUND | SQLEXCEPTION
The DECLARE ...
HANDLER
statement specifies a handler that deals with
one or more conditions. If one of these conditions occurs, the
specified statement
executes.
statement
can be a simple statement
such as SET
, or a compound
statement written using var_name
=
value
BEGIN
and
END
(see Section 13.6.1, “BEGIN ... END
Compound-Statement Syntax”).
Handler declarations must appear after variable or condition declarations.
The handler_action
value indicates
what action the handler takes after execution of the handler
statement:
CONTINUE
: Execution of the current
program continues.
EXIT
: Execution terminates for the
BEGIN ...
END
compound statement in which the handler is
declared. This is true even if the condition occurs in an
inner block.
UNDO
: Not supported.
The condition_value
for
DECLARE ...
HANDLER
indicates the specific condition or class of
conditions that activates the handler:
A MySQL error code (a number) or an SQLSTATE value (a
5-character string literal). You should not use MySQL error
code 0 or SQLSTATE values that begin with
'00'
, because those indicate success
rather than an error condition. For a list of MySQL error
codes and SQLSTATE values, see
Section C.3, “Server Error Codes and Messages”.
A condition name previously specified with
DECLARE
... CONDITION
. A condition name can be associated
with a MySQL error code or SQLSTATE value. See
Section 13.6.7.1, “DECLARE ...
CONDITION
Syntax”.
SQLWARNING
is shorthand for the class of
SQLSTATE values that begin with '01'
.
NOT FOUND
is shorthand for the class of
SQLSTATE values that begin with '02'
.
This is relevant within the context of cursors and is used
to control what happens when a cursor reaches the end of a
data set. If no more rows are available, a No Data condition
occurs with SQLSTATE value '02000'
. To
detect this condition, you can set up a handler for it (or
for a NOT FOUND
condition). For an
example, see Section 13.6.6, “Cursors”. This condition also
occurs for SELECT ... INTO
statements
that retrieve no rows.
var_list
SQLEXCEPTION
is shorthand for the class
of SQLSTATE values that do not begin with
'00'
, '01'
, or
'02'
.
For information about how the server chooses handlers when a condition occurs, see Section 13.6.7.6, “Scope Rules for Handlers”.
If a condition occurs for which no handler has been declared, the action taken depends on the condition class:
For SQLEXCEPTION
conditions, the stored
program terminates at the statement that raised the
condition, as if there were an EXIT
handler. If the program was called by another stored
program, the calling program handles the condition using the
handler selection rules applied to its own handlers.
For SQLWARNING
conditions, the program
continues executing, as if there were a
CONTINUE
handler.
For NOT FOUND
conditions, if the
condition was raised normally, the action is
CONTINUE
. If it was raised by
SIGNAL
or
RESIGNAL
, the action is
EXIT
.
The following example uses a handler for SQLSTATE
'23000'
, which occurs for a duplicate-key error:
mysql>CREATE TABLE test.t (s1 INT, PRIMARY KEY (s1));
Query OK, 0 rows affected (0.00 sec) mysql>delimiter //
mysql>CREATE PROCEDURE handlerdemo ()
->BEGIN
->DECLARE CONTINUE HANDLER FOR SQLSTATE '23000' SET @x2 = 1;
->SET @x = 1;
->INSERT INTO test.t VALUES (1);
->SET @x = 2;
->INSERT INTO test.t VALUES (1);
->SET @x = 3;
->END;
->//
Query OK, 0 rows affected (0.00 sec) mysql>CALL handlerdemo()//
Query OK, 0 rows affected (0.00 sec) mysql>SELECT @x//
+------+ | @x | +------+ | 3 | +------+ 1 row in set (0.00 sec)
Notice that @x
is 3
after
the procedure executes, which shows that execution continued to
the end of the procedure after the error occurred. If the
DECLARE ...
HANDLER
statement had not been present, MySQL would
have taken the default action (EXIT
) after
the second INSERT
failed due to
the PRIMARY KEY
constraint, and
SELECT @x
would have returned
2
.
To ignore a condition, declare a CONTINUE
handler for it and associate it with an empty block. For
example:
DECLARE CONTINUE HANDLER FOR SQLWARNING BEGIN END;
The scope of a block label does not include the code for
handlers declared within the block. Therefore, the statement
associated with a handler cannot use
ITERATE
or
LEAVE
to refer to labels for
blocks that enclose the handler declaration. Consider the
following example, where the
REPEAT
block has a label of
retry
:
CREATE PROCEDURE p () BEGIN DECLARE i INT DEFAULT 3; retry: REPEAT BEGIN DECLARE CONTINUE HANDLER FOR SQLWARNING BEGIN ITERATE retry; # illegal END; IF i < 0 THEN LEAVE retry; # legal END IF; SET i = i - 1; END; UNTIL FALSE END REPEAT; END;
The retry
label is in scope for the
IF
statement within the block. It
is not in scope for the CONTINUE
handler, so
the reference there is invalid and results in an error:
ERROR 1308 (42000): LEAVE with no matching label: retry
To avoid references to outer labels in handlers, use one of these strategies:
To leave the block, use an EXIT
handler.
If no block cleanup is required, the
BEGIN ...
END
handler body can be empty:
DECLARE EXIT HANDLER FOR SQLWARNING BEGIN END;
Otherwise, put the cleanup statements in the handler body:
DECLARE EXIT HANDLER FOR SQLWARNING
BEGIN
block cleanup statements
END;
To continue execution, set a status variable in a
CONTINUE
handler that can be checked in
the enclosing block to determine whether the handler was
invoked. The following example uses the variable
done
for this purpose:
CREATE PROCEDURE p () BEGIN DECLARE i INT DEFAULT 3; DECLARE done INT DEFAULT FALSE; retry: REPEAT BEGIN DECLARE CONTINUE HANDLER FOR SQLWARNING BEGIN SET done = TRUE; END; IF done OR i < 0 THEN LEAVE retry; END IF; SET i = i - 1; END; UNTIL FALSE END REPEAT; END;
GET [CURRENT] DIAGNOSTICS {statement_information_item
[,statement_information_item
] ... | CONDITIONcondition_number
condition_information_item
[,condition_information_item
] ... }statement_information_item
:target
=statement_information_item_name
condition_information_item
:target
=condition_information_item_name
statement_information_item_name
: NUMBER | ROW_COUNTcondition_information_item_name
: CLASS_ORIGIN | SUBCLASS_ORIGIN | RETURNED_SQLSTATE | MESSAGE_TEXT | MYSQL_ERRNO | CONSTRAINT_CATALOG | CONSTRAINT_SCHEMA | CONSTRAINT_NAME | CATALOG_NAME | SCHEMA_NAME | TABLE_NAME | COLUMN_NAME | CURSOR_NAMEcondition_number
,target
: (see following discussion)
SQL statements produce diagnostic information that populates the
diagnostics area. The GET
DIAGNOSTICS
statement enables applications to inspect
this information. No special privileges are required to execute
GET DIAGNOSTICS
, which is
available as of MySQL 5.6.4.
The keyword CURRENT
means to retrieve
information from the current diagnostics area. In MySQL, it has
no effect because that is the default behavior.
For a description of the diagnostics area, see Section 13.6.7.7, “The MySQL Diagnostics Area”. Briefly, it contains two kinds of information:
Statement information, such as the affected-rows count or the number of conditions that occurred.
Condition information, such as the error code and message. If a statement raises multiple conditions, this part of the diagnostics area has a condition area for each one. If a statement raises no conditions, this part of the diagnostics area is empty.
For a statement that produces three conditions, the diagnostics area contains statement and condition information like this:
Statement information: row count ... other statement information items ... Condition area list: Condition area 1: error code for condition 1 error message for condition 1 ... other condition information items ... Condition area 2: error code for condition 2: error message for condition 2 ... other condition information items ... Condition area 3: error code for condition 3 error message for condition 3 ... other condition information items ...
GET DIAGNOSTICS
can obtain either
statement or condition information, but not both in the same
statement:
To obtain statement information, retrieve the desired statement items into target variables:
GET DIAGNOSTICS @p1 = ROW_COUNT, @p2 = NUMBER;
To obtain condition information, specify the condition number and retrieve the desired condition items into target variables:
GET DIAGNOSTICS CONDITION 1 @p1 = RETURNED_SQLSTATE, @p2 = MESSAGE_TEXT;
The retrieval list specifies one or more
assignments,
separated by commas. Each assignment names a target variable and
either a
target
=
item_name
statement_information_item_name
or
condition_information_item_name
designator, depending on whether the statement retrieves
statement or condition information.
Valid target
designators for storing
item information can be stored procedure or function parameters,
stored program local variables declared with
DECLARE
, or user-defined
variables.
Valid condition_number
designators
can be stored procedure or function parameters, stored program
local variables declared with
DECLARE
, user-defined variables,
system variables, or literals. A character literal may include a
_charset
introducer. A warning occurs
if the condition number is not in the range from 1 to the number
of condition areas that have information. In this case, the
warning is added to the diagnostics area without clearing it.
GET DIAGNOSTICS
is typically used
within stored programs, but it is a MySQL extension that it is
permitted outside that context to check the execution of any SQL
statement. For example, if you invoke the
mysql client program, you can enter these
statements at the prompt:
mysql>DROP TABLE test.no_such_table;
ERROR 1051 (42S02): Unknown table 'test.no_such_table' mysql>GET DIAGNOSTICS CONDITION 1
->@p1 = RETURNED_SQLSTATE, @p2 = MESSAGE_TEXT;
mysql>SELECT @p1, @p2;
+-------+------------------------------------+ | @p1 | @p2 | +-------+------------------------------------+ | 42S02 | Unknown table 'test.no_such_table' | +-------+------------------------------------+
Currently, not all condition items recognized by
GET DIAGNOSTICS
are populated
when a condition occurs. For example:
mysql>GET DIAGNOSTICS CONDITION 1
->@p3 = SCHEMA_NAME, @p4 = TABLE_NAME;
mysql>SELECT @p3, @p4;
+------+------+ | @p3 | @p4 | +------+------+ | | | +------+------+
For information about permissible statement and condition information items, and which ones are populated when a condition occurs, see Section 13.6.7.7.2, “Diagnostics Area Information Items”.
Here is an example that uses GET
DIAGNOSTICS
and an exception handler in stored
procedure context to assess the outcome of an insert operation.
If the insert was successful, the procedure also uses
GET DIAGNOSTICS
to get the
rows-affected count. This shows that you can use
GET DIAGNOSTICS
multiple times to
retrieve information about a statement as long as the
diagnostics area has not been cleared.
CREATE PROCEDURE do_insert(value INT) BEGIN -- declare variables to hold diagnostics area information DECLARE code CHAR(5) DEFAULT '00000'; DECLARE msg TEXT; DECLARE rows INT; DECLARE result TEXT; -- declare exception handler for failed insert DECLARE CONTINUE HANDLER FOR SQLEXCEPTION BEGIN GET DIAGNOSTICS CONDITION 1 code = RETURNED_SQLSTATE, msg = MESSAGE_TEXT; END; -- perform the insert INSERT INTO t1 (int_col) VALUES(value); -- check whether the insert was successful IF code = '00000' THEN GET DIAGNOSTICS rows = ROW_COUNT; SET result = CONCAT('insert succeeded, row count = ',rows); ELSE SET result = CONCAT('insert failed, error = ',code,', message = ',msg); END IF; -- say what happened SELECT result; END;
Suppose that t1.int_col
is an integer column
that is declared as NOT NULL
. The procedure
produces these results:
mysql>CALL do_insert(1);
+---------------------------------+ | result | +---------------------------------+ | insert succeeded, row count = 1 | +---------------------------------+ mysql>CALL do_insert(NULL);
+-------------------------------------------------------------------------+ | result | +-------------------------------------------------------------------------+ | insert failed, error = 23000, message = Column 'int_col' cannot be null | +-------------------------------------------------------------------------+
Within a condition handler, GET
DIAGNOSTICS
should be used before other statements
that might clear the diagnostics area and cause information to
be lost about the condition that activated the handler. For
information about when the diagnostics area is set and cleared,
see Section 13.6.7.7.3, “How the Diagnostics Area is Populated”.
In standard SQL, the first condition relates to the
SQLSTATE
value returned for the previous SQL
statement. In MySQL, this is not guaranteed, so to get the main
error, you cannot do this:
GET DIAGNOSTICS CONDITION 1 @errno = MYSQL_ERRNO;
Instead, do this:
GET DIAGNOSTICS @cno = NUMBER; GET DIAGNOSTICS CONDITION @cno @errno = MYSQL_ERRNO;
RESIGNAL [condition_value
] [SETsignal_information_item
[,signal_information_item
] ...]condition_value
: SQLSTATE [VALUE]sqlstate_value
|condition_name
signal_information_item
:condition_information_item_name
=simple_value_specification
condition_information_item_name
: CLASS_ORIGIN | SUBCLASS_ORIGIN | MESSAGE_TEXT | MYSQL_ERRNO | CONSTRAINT_CATALOG | CONSTRAINT_SCHEMA | CONSTRAINT_NAME | CATALOG_NAME | SCHEMA_NAME | TABLE_NAME | COLUMN_NAME | CURSOR_NAMEcondition_name
,simple_value_specification
: (see following discussion)
RESIGNAL
passes on the error
condition information that is available during execution of a
condition handler within a compound statement inside a stored
procedure or function, trigger, or event.
RESIGNAL
may change some or all
information before passing it on.
RESIGNAL
is related to
SIGNAL
, but instead of
originating a condition as SIGNAL
does, RESIGNAL
relays existing
condition information, possibly after modifying it.
RESIGNAL
makes it possible to
both handle an error and return the error information.
Otherwise, by executing an SQL statement within the handler,
information that caused the handler's activation is destroyed.
RESIGNAL
also can make some
procedures shorter if a given handler can handle part of a
situation, then pass the condition “up the line” to
another handler.
No special privileges are required to execute the
RESIGNAL
statement.
To retrieve information from diagnostics area, use the
GET DIAGNOSTICS
statement (see
Section 13.6.7.3, “GET DIAGNOSTICS
Syntax”). For information about the
diagnostics area, see Section 13.6.7.7, “The MySQL Diagnostics Area”.
For condition_value
and
signal_information_item
, the
definitions and rules are the same for
RESIGNAL
as for
SIGNAL
(see
Section 13.6.7.5, “SIGNAL
Syntax”).
The RESIGNAL
statement takes
condition_value
and
SET
clauses, both of which are optional. This
leads to several possible uses:
These use cases all cause changes to the diagnostics and condition areas:
A diagnostics area contains one or more condition areas.
A condition area contains condition information items, such
as the SQLSTATE
value,
MYSQL_ERRNO
, or
MESSAGE_TEXT
.
The maximum number of condition areas in a diagnostics area is
determined by the value of the
max_error_count
system
variable. See
Section 13.6.7.7.4, “Diagnostics Area-Related System Variables”.
A simple RESIGNAL
alone means
“pass on the error with no change.” It restores
the last diagnostics area and makes it the current diagnostics
area. That is, it “pops” the diagnostics area
stack.
Within a condition handler that catches a condition, one use
for RESIGNAL
alone is to
perform some other actions, and then pass on without change
the original condition information (the information that
existed before entry into the handler).
Example:
DROP TABLE IF EXISTS xx; delimiter // CREATE PROCEDURE p () BEGIN DECLARE EXIT HANDLER FOR SQLEXCEPTION BEGIN SET @error_count = @error_count + 1; IF @a = 0 THEN RESIGNAL; END IF; END; DROP TABLE xx; END// delimiter ; SET @error_count = 0; SET @a = 0; CALL p();
The DROP TABLE xx
statement fails. The
diagnostics area stack looks like this:
DA 1. ERROR 1051 (42S02): Unknown table 'xx'
Then execution enters the EXIT
handler. It
starts by pushing the top of the diagnostics area stack, which
now looks like this:
DA 1. ERROR 1051 (42S02): Unknown table 'xx' DA 2. ERROR 1051 (42S02): Unknown table 'xx'
Usually a procedure statement clears the first diagnostics
area (also called the “current” diagnostics
area). BEGIN
is an exception, it does not
clear, it does nothing. SET
is not an
exception, it clears, performs the operation, and then
produces a result of “success.” The diagnostics
area stack now looks like this:
DA 1. ERROR 0000 (00000): Successful operation DA 2. ERROR 1051 (42S02): Unknown table 'xx'
At this point, if @a = 0
,
RESIGNAL
pops the diagnostics
area stack, which now looks like this:
DA 1. ERROR 1051 (42S02): Unknown table 'xx'
And that is what the caller sees.
If @a
is not 0, the handler simply ends,
which means that there is no more use for the last diagnostics
area (it has been “handled”), so it can be thrown
away. The diagnostics area stack looks like this:
DA 1. ERROR 0000 (00000): Successful operation
The details make it look complex, but the end result is quite useful: Handlers can execute without destroying information about the condition that caused activation of the handler.
RESIGNAL
with a
SET
clause provides new signal information,
so the statement means “pass on the error with
changes”:
RESIGNAL SETsignal_information_item
[,signal_information_item
] ...;
As with RESIGNAL
alone, the
idea is to pop the diagnostics area stack so that the original
information will go out. Unlike
RESIGNAL
alone, anything
specified in the SET
clause changes.
Example:
DROP TABLE IF EXISTS xx; delimiter // CREATE PROCEDURE p () BEGIN DECLARE EXIT HANDLER FOR SQLEXCEPTION BEGIN SET @error_count = @error_count + 1; IF @a = 0 THEN RESIGNAL SET MYSQL_ERRNO = 5; END IF; END; DROP TABLE xx; END// delimiter ; SET @error_count = 0; SET @a = 0; CALL p();
Remember from the previous discussion that
RESIGNAL
alone results in a
diagnostics area stack like this:
DA 1. ERROR 1051 (42S02): Unknown table 'xx'
The RESIGNAL SET MYSQL_ERRNO = 5
statement
results in this stack instead:
DA 1. ERROR 5 (42S02): Unknown table 'xx'
In other words, it changes the error number, and nothing else.
The RESIGNAL
statement can
change any or all of the signal information items, making the
first condition area of the diagnostics area look quite
different.
RESIGNAL
with a condition value
means “push a condition into the current diagnostics
stack area.” If the SET
clause is
present, it also changes the error information.
RESIGNALcondition_value
[SETsignal_information_item
[,signal_information_item
] ...];
This form of RESIGNAL
restores
the last diagnostics area and makes it the current diagnostics
area. That is, it “pops” the diagnostics area
stack, which is the same as what a simple
RESIGNAL
alone would do.
However, it also changes the diagnostics area depending on the
condition value or signal information.
Example:
DROP TABLE IF EXISTS xx; delimiter // CREATE PROCEDURE p () BEGIN DECLARE EXIT HANDLER FOR SQLEXCEPTION BEGIN SET @error_count = @error_count + 1; IF @a = 0 THEN RESIGNAL SQLSTATE '45000' SET MYSQL_ERRNO=5; END IF; END; DROP TABLE xx; END// delimiter ; SET @error_count = 0; SET @a = 0; SET @@max_error_count = 2; CALL p(); SHOW ERRORS;
This is similar to the previous example, and the effects are
the same, except that if
RESIGNAL
happens the current
condition area looks different at the end. (The reason the
condition is added rather than replaced is the use of a
condition value.)
The RESIGNAL
statement includes
a condition value (SQLSTATE '45000'
), so it
“pushes” a new condition area, resulting in a
diagnostics area stack that looks like this:
DA 1. (condition 1) ERROR 5 (45000) Unknown table 'xx' (condition 2) ERROR 1051 (42S02): Unknown table 'xx'
The result of CALL
p()
and SHOW ERRORS
for this example is:
mysql>CALL p();
ERROR 5 (45000): Unknown table 'xx' mysql>SHOW ERRORS;
+-------+------+----------------------------------+ | Level | Code | Message | +-------+------+----------------------------------+ | Error | 5 | Unknown table 'xx' | | Error | 1051 | Unknown table 'xx' | +-------+------+----------------------------------+
All forms of RESIGNAL
require
that a handler be active when it executes. If no handler is
active, RESIGNAL
is illegal and
a resignal when handler not active
error
occurs. For example:
mysql>CREATE PROCEDURE p () RESIGNAL;
Query OK, 0 rows affected (0.00 sec) mysql>CALL p();
ERROR 1739 (0K000): RESIGNAL when handler not active
Here is a more difficult example:
delimiter // CREATE FUNCTION f () RETURNS INT BEGIN RESIGNAL; RETURN 5; END// CREATE PROCEDURE p () BEGIN DECLARE EXIT HANDLER FOR SQLEXCEPTION SET @a=f(); SIGNAL SQLSTATE '55555'; END// delimiter ; CALL p();
At the time the RESIGNAL
executes, there is a handler, even though the
RESIGNAL
is not defined inside
the handler.
A statement such as the one following may appear bizarre
because RESIGNAL
apparently is
not in a handler:
CREATE TRIGGER t_bi BEFORE INSERT ON t FOR EACH ROW RESIGNAL;
But it does not matter.
RESIGNAL
does not have to be
technically “in” (that is, contained in), a
handler declaration. The requirement is that a handler must be
active.
SIGNALcondition_value
[SETsignal_information_item
[,signal_information_item
] ...]condition_value
: SQLSTATE [VALUE]sqlstate_value
|condition_name
signal_information_item
:condition_information_item_name
=simple_value_specification
condition_information_item_name
: CLASS_ORIGIN | SUBCLASS_ORIGIN | MESSAGE_TEXT | MYSQL_ERRNO | CONSTRAINT_CATALOG | CONSTRAINT_SCHEMA | CONSTRAINT_NAME | CATALOG_NAME | SCHEMA_NAME | TABLE_NAME | COLUMN_NAME | CURSOR_NAMEcondition_name
,simple_value_specification
: (see following discussion)
SIGNAL
is the way to
“return” an error.
SIGNAL
provides error information
to a handler, to an outer portion of the application, or to the
client. Also, it provides control over the error's
characteristics (error number, SQLSTATE
value, message). Without SIGNAL
,
it is necessary to resort to workarounds such as deliberately
referring to a nonexistent table to cause a routine to return an
error.
No special privileges are required to execute the
SIGNAL
statement.
To retrieve information from diagnostics area, use the
GET DIAGNOSTICS
statement (see
Section 13.6.7.3, “GET DIAGNOSTICS
Syntax”). For information about the
diagnostics area, see Section 13.6.7.7, “The MySQL Diagnostics Area”.
The condition_value
in a
SIGNAL
statement indicates the
error value to be returned. It can be an
SQLSTATE
value (a 5-character string literal)
or a condition_name
that refers to a
named condition previously defined with
DECLARE ...
CONDITION
(see Section 13.6.7.1, “DECLARE ...
CONDITION
Syntax”).
An SQLSTATE
value can indicate errors,
warnings, or “not found.” The first two characters
of the value indicate its error class, as discussed in
Section 13.6.7.5.1, “Signal Condition Information Items”. Some
signal values cause statement termination; see
Section 13.6.7.5.2, “Effect of Signals on Handlers, Cursors, and Statements”.
The SQLSTATE
value for a
SIGNAL
statement should not start
with '00'
because such values indicate
success and are not valid for signaling an error. This is true
whether the SQLSTATE
value is specified
directly in the SIGNAL
statement
or in a named condition referred to in the statement. If the
value is invalid, a Bad SQLSTATE
error
occurs.
To signal a generic SQLSTATE
value, use
'45000'
, which means “unhandled
user-defined exception.”
The SIGNAL
statement optionally
includes a SET
clause that contains multiple
signal items, in a comma-separated list of
condition_information_item_name
=
simple_value_specification
assignments.
Each condition_information_item_name
may be specified only once in the SET
clause.
Otherwise, a Duplicate condition information
item
error occurs.
Valid simple_value_specification
designators can be specified using stored procedure or function
parameters, stored program local variables declared with
DECLARE
, user-defined variables,
system variables, or literals. A character literal may include a
_charset
introducer.
For information about permissible
condition_information_item_name
values, see
Section 13.6.7.5.1, “Signal Condition Information Items”.
The following procedure signals an error or warning depending on
the value of pval
, its input parameter:
CREATE PROCEDURE p (pval INT) BEGIN DECLARE specialty CONDITION FOR SQLSTATE '45000'; IF pval = 0 THEN SIGNAL SQLSTATE '01000'; ELSEIF pval = 1 THEN SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = 'An error occurred'; ELSEIF pval = 2 THEN SIGNAL specialty SET MESSAGE_TEXT = 'An error occurred'; ELSE SIGNAL SQLSTATE '01000' SET MESSAGE_TEXT = 'A warning occurred', MYSQL_ERRNO = 1000; SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = 'An error occurred', MYSQL_ERRNO = 1001; END IF; END;
If pval
is 0, p()
signals
a warning because SQLSTATE
values that begin
with '01'
are signals in the warning class.
The warning does not terminate the procedure, and can be seen
with SHOW WARNINGS
after the
procedure returns.
If pval
is 1, p()
signals
an error and sets the MESSAGE_TEXT
condition
information item. The error terminates the procedure, and the
text is returned with the error information.
If pval
is 2, the same error is signaled,
although the SQLSTATE
value is specified
using a named condition in this case.
If pval
is anything else,
p()
first signals a warning and sets the
message text and error number condition information items. This
warning does not terminate the procedure, so execution continues
and p()
then signals an error. The error does
terminate the procedure. The message text and error number set
by the warning are replaced by the values set by the error,
which are returned with the error information.
SIGNAL
is typically used within
stored programs, but it is a MySQL extension that it is
permitted outside that context. For example, if you invoke the
mysql client program, you can enter any of
these statements at the prompt:
mysql>SIGNAL SQLSTATE '77777';
mysql>CREATE TRIGGER t_bi BEFORE INSERT ON t
->FOR EACH ROW SIGNAL SQLSTATE '77777';
mysql>CREATE EVENT e ON SCHEDULE EVERY 1 SECOND
->DO SIGNAL SQLSTATE '77777';
SIGNAL
executes according to the
following rules:
If the SIGNAL
statement indicates
a particular SQLSTATE
value, that value is
used to signal the condition specified. Example:
CREATE PROCEDURE p (divisor INT) BEGIN IF divisor = 0 THEN SIGNAL SQLSTATE '22012'; END IF; END;
If the SIGNAL
statement uses a
named condition, the condition must be declared in some scope
that applies to the SIGNAL
statement, and must be defined using an
SQLSTATE
value, not a MySQL error number.
Example:
CREATE PROCEDURE p (divisor INT) BEGIN DECLARE divide_by_zero CONDITION FOR SQLSTATE '22012'; IF divisor = 0 THEN SIGNAL divide_by_zero; END IF; END;
If the named condition does not exist in the scope of the
SIGNAL
statement, an
Undefined CONDITION
error occurs.
If SIGNAL
refers to a named
condition that is defined with a MySQL error number rather than
an SQLSTATE
value, a SIGNAL/RESIGNAL
can only use a CONDITION defined with SQLSTATE
error
occurs. The following statements cause that error because the
named condition is associated with a MySQL error number:
DECLARE no_such_table CONDITION FOR 1051; SIGNAL no_such_table;
If a condition with a given name is declared multiple times in different scopes, the declaration with the most local scope applies. Consider the following procedure:
CREATE PROCEDURE p (divisor INT) BEGIN DECLARE my_error CONDITION FOR SQLSTATE '45000'; IF divisor = 0 THEN BEGIN DECLARE my_error CONDITION FOR SQLSTATE '22012'; SIGNAL my_error; END; END IF; SIGNAL my_error; END;
If divisor
is 0, the first
SIGNAL
statement executes. The
innermost my_error
condition declaration
applies, raising SQLSTATE
'22012'
.
If divisor
is not 0, the second
SIGNAL
statement executes. The
outermost my_error
condition declaration
applies, raising SQLSTATE
'45000'
.
For information about how the server chooses handlers when a condition occurs, see Section 13.6.7.6, “Scope Rules for Handlers”.
Signals can be raised within exception handlers:
CREATE PROCEDURE p () BEGIN DECLARE EXIT HANDLER FOR SQLEXCEPTION BEGIN SIGNAL SQLSTATE VALUE '99999' SET MESSAGE_TEXT = 'An error occurred'; END; DROP TABLE no_such_table; END;
CALL p()
reaches the
DROP TABLE
statement. There is no
table named no_such_table
, so the error
handler is activated. The error handler destroys the original
error (“no such table”) and makes a new error with
SQLSTATE
'99999'
and
message An error occurred
.
The following table lists the names of diagnostics area
condition information items that can be set in a
SIGNAL
(or
RESIGNAL
) statement. All items
are standard SQL except MYSQL_ERRNO
, which
is a MySQL extension. For more information about these items
see Section 13.6.7.7, “The MySQL Diagnostics Area”.
Item Name Definition --------- ---------- CLASS_ORIGIN VARCHAR(64) SUBCLASS_ORIGIN VARCHAR(64) CONSTRAINT_CATALOG VARCHAR(64) CONSTRAINT_SCHEMA VARCHAR(64) CONSTRAINT_NAME VARCHAR(64) CATALOG_NAME VARCHAR(64) SCHEMA_NAME VARCHAR(64) TABLE_NAME VARCHAR(64) COLUMN_NAME VARCHAR(64) CURSOR_NAME VARCHAR(64) MESSAGE_TEXT VARCHAR(128) MYSQL_ERRNO SMALLINT UNSIGNED
The character set for character items is UTF-8.
It is illegal to assign NULL
to a condition
information item in a SIGNAL
statement.
A SIGNAL
statement always
specifies an SQLSTATE
value, either
directly, or indirectly by referring to a named condition
defined with an SQLSTATE
value. The first
two characters of an SQLSTATE
value are its
class, and the class determines the default value for the
condition information items:
Class = '00'
(success)
Illegal. SQLSTATE
values that begin
with '00'
indicate success and are not
valid for SIGNAL
.
Class = '01'
(warning)
MESSAGE_TEXT = 'Unhandled user-defined warning'; MYSQL_ERRNO = ER_SIGNAL_WARN
Class = '02'
(not found)
MESSAGE_TEXT = 'Unhandled user-defined not found'; MYSQL_ERRNO = ER_SIGNAL_NOT_FOUND
Class > '02'
(exception)
MESSAGE_TEXT = 'Unhandled user-defined exception'; MYSQL_ERRNO = ER_SIGNAL_EXCEPTION
For legal classes, the other condition information items are set as follows:
CLASS_ORIGIN = SUBCLASS_ORIGIN = ''; CONSTRAINT_CATALOG = CONSTRAINT_SCHEMA = CONSTRAINT_NAME = ''; CATALOG_NAME = SCHEMA_NAME = TABLE_NAME = COLUMN_NAME = ''; CURSOR_NAME = '';
The error values that are accessible after
SIGNAL
executes are the
SQLSTATE
value raised by the
SIGNAL
statement and the
MESSAGE_TEXT
and
MYSQL_ERRNO
items. These values are
available from the C API:
SQLSTATE
value: Call
mysql_sqlstate()
MYSQL_ERRNO
value: Call
mysql_errno()
MESSAGE_TEXT
value: Call
mysql_error()
From SQL, the output from SHOW
WARNINGS
and SHOW
ERRORS
indicates the MYSQL_ERRNO
and MESSAGE_TEXT
values in the
Code
and Message
columns.
To retrieve information from diagnostics area, use the
GET DIAGNOSTICS
statement (see
Section 13.6.7.3, “GET DIAGNOSTICS
Syntax”). For information about the
diagnostics area, see Section 13.6.7.7, “The MySQL Diagnostics Area”.
Signals have different effects on statement execution
depending on the signal class. The class determines how severe
an error is. MySQL ignores the value of the
sql_mode
system variable; in
particular, strict SQL mode does not matter. MySQL also
ignores IGNORE
: The intent of
SIGNAL
is to raise a
user-generated error explicitly, so a signal is never ignored.
In the following descriptions, “unhandled” means
that no handler for the signaled SQLSTATE
value has been defined with
DECLARE ...
HANDLER
.
Class = '00'
(success)
Illegal. SQLSTATE
values that begin
with '00'
indicate success and are not
valid for SIGNAL
.
Class = '01'
(warning)
The value of the
warning_count
system
variable goes up. SHOW
WARNINGS
shows the signal.
SQLWARNING
handlers catch the signal.
If the signal is unhandled in a function, statements do
not end.
Class = '02'
(not found)
NOT FOUND
handlers catch the signal.
There is no effect on cursors. If the signal is unhandled
in a function, statements end.
Class > '02'
(exception)
SQLEXCEPTION
handlers catch the signal.
If the signal is unhandled in a function, statements end.
Class = '40'
Treated as an ordinary exception.
Example:
mysql>delimiter //
mysql>CREATE FUNCTION f () RETURNS INT
->BEGIN
->SIGNAL SQLSTATE '01234'; -- signal a warning
->RETURN 5;
->END//
mysql>delimiter ;
mysql>CREATE TABLE t (s1 INT);
mysql>INSERT INTO t VALUES (f());
The result is that a row containing 5 is inserted into table
t
. The warning that is signaled can be
viewed with SHOW WARNINGS
.
A stored program may include handlers to be invoked when certain conditions occur within the program. The applicability of each handler depends on its location within the program definition and on the condition or conditions that it handles:
A handler declared in a
BEGIN ...
END
block is in scope only for the SQL statements
following the handler declarations in the block. If the
handler itself raises a condition, it cannot handle that
condition, nor can any other handlers declared in the block.
In the following example, handlers H1
and
H2
are in scope for conditions raised by
statements stmt1
and
stmt2
. But neither
H1
nor H2
are in scope
for conditions raised in the body of H1
or H2
.
BEGIN -- outer block DECLARE EXIT HANDLER FOR ...; -- handler H1 DECLARE EXIT HANDLER FOR ...; -- handler H2stmt1
;stmt2
; END;
A handler is in scope only for the block in which it is
declared, and cannot be activated for conditions occurring
outside that block. In the following example, handler
H1
is in scope for
stmt1
in the inner block, but not
for stmt2
in the outer block:
BEGIN -- outer block BEGIN -- inner block DECLARE EXIT HANDLER FOR ...; -- handler H1stmt1
; END;stmt2
; END;
A handler can be specific or general. A specific handler is
for a MySQL error code, SQLSTATE
value,
or condition name. A general handler is for a condition in
the SQLWARNING
,
SQLEXCEPTION
, or NOT
FOUND
class. Condition specificity is related to
condition precedence, as described later.
Multiple handlers can be declared in different scopes and with
different specificities. For example, there might be a specific
MySQL error code handler in an outer block, and a general
SQLWARNING
handler in an inner block. Or
there might be handlers for a specific MySQL error code and the
general SQLWARNING
class in the same block.
Whether a handler is activated depends not only on its own scope
and condition value, but on what other handlers are present.
When a condition occurs in a stored program, the server searches
for applicable handlers in the current scope (current
BEGIN ...
END
block). If there are no applicable handlers, the
search continues outward with the handlers in each successive
containing scope (block). When the server finds one or more
applicable handlers at a given scope, it chooses among them
based on condition precedence:
A MySQL error code handler takes precedence over an
SQLSTATE
value handler.
An SQLSTATE
value handler takes
precedence over general SQLWARNING
,
SQLEXCEPTION
, or NOT
FOUND
handlers.
An SQLEXCEPTION
handler takes precedence
over an SQLWARNING
handler.
The precedence of NOT FOUND
depends on
how the condition is raised:
Normally, a condition in the NOT
FOUND
class can be handled by an
SQLWARNING
or NOT
FOUND
handler, with the
SQLWARNING
handler taking precedence
if both are present. Normal occurrence of NOT
FOUND
takes place when a cursor used to fetch
a set of rows reaches the end of the data set, or for
instances of SELECT ... INTO
such that
the var_list
WHERE
clause finds no rows.
If a NOT FOUND
condition is raised by
a SIGNAL
(or
RESIGNAL
) statement, the
condition can be handled by a NOT
FOUND
handler but not an
SQLWARNING
handler.
It is possible to have several applicable handlers with the same precedence. For example, a statement could generate multiple warnings with different error codes, for each of which an error-specific handler exists. In this case, the choice of which handler the server activates is indeterminate, and may change depending on the circumstances under which the condition occurs.
One implication of the handler selection rules is that if multiple applicable handlers occur in different scopes, handlers with the most local scope take precedence over handlers in outer scopes, even over those for more specific conditions.
If there is no appropriate handler when a condition occurs, the action taken depends on the class of the condition:
For SQLEXCEPTION
conditions, the stored
program terminates at the statement that raised the
condition, as if there were an EXIT
handler. If the program was called by another stored
program, the calling program handles the condition using the
handler selection rules applied to its own handlers.
For SQLWARNING
conditions, the program
continues executing, as if there were a
CONTINUE
handler.
For NOT FOUND
conditions, if the
condition was raised normally, the action is
CONTINUE
. If it was raised by
SIGNAL
or
RESIGNAL
, the action is
EXIT
.
The following examples demonstrate how MySQL applies the handler selection rules.
This procedure contains two handlers, one for the specific
SQLSTATE
value ('42S02'
)
that occurs for attempts to drop a nonexistent table, and one
for the general SQLEXCEPTION
class:
CREATE PROCEDURE p1() BEGIN DECLARE CONTINUE HANDLER FOR SQLSTATE '42S02' SELECT 'SQLSTATE handler was activated' AS msg; DECLARE CONTINUE HANDLER FOR SQLEXCEPTION SELECT 'SQLEXCEPTION handler was activated' AS msg; DROP TABLE test.t; END;
Both handlers are declared in the same block and have the same
scope. However, SQLSTATE
handlers take
precedence over SQLEXCEPTION
handlers, so if
the table t
is nonexistent, the
DROP TABLE
statement raises a
condition that activates the SQLSTATE
handler:
mysql> CALL p1();
+--------------------------------+
| msg |
+--------------------------------+
| SQLSTATE handler was activated |
+--------------------------------+
This procedure contains the same two handlers. But this time,
the DROP TABLE
statement and
SQLEXCEPTION
handler are in an inner block
relative to the SQLSTATE
handler:
CREATE PROCEDURE p2() BEGIN -- outer block DECLARE CONTINUE HANDLER FOR SQLSTATE '42S02' SELECT 'SQLSTATE handler was activated' AS msg; BEGIN -- inner block DECLARE CONTINUE HANDLER FOR SQLEXCEPTION SELECT 'SQLEXCEPTION handler was activated' AS msg; DROP TABLE test.t; -- occurs within inner block END; END;
In this case, the handler that is more local to where the
condition occurs takes precedence. The
SQLEXCEPTION
handler activates, even though
it is more general than the SQLSTATE
handler:
mysql> CALL p2();
+------------------------------------+
| msg |
+------------------------------------+
| SQLEXCEPTION handler was activated |
+------------------------------------+
In this procedure, one of the handlers is declared in a block
inner to the scope of the DROP
TABLE
statement:
CREATE PROCEDURE p3() BEGIN -- outer block DECLARE CONTINUE HANDLER FOR SQLEXCEPTION SELECT 'SQLEXCEPTION handler was activated' AS msg; BEGIN -- inner block DECLARE CONTINUE HANDLER FOR SQLSTATE '42S02' SELECT 'SQLSTATE handler was activated' AS msg; END; DROP TABLE test.t; -- occurs within outer block END;
Only the SQLEXCEPTION
handler applies because
the other one is not in scope for the condition raised by the
DROP TABLE
:
mysql> CALL p3();
+------------------------------------+
| msg |
+------------------------------------+
| SQLEXCEPTION handler was activated |
+------------------------------------+
In this procedure, both handlers are declared in a block inner
to the scope of the DROP TABLE
statement:
CREATE PROCEDURE p4() BEGIN -- outer block BEGIN -- inner block DECLARE CONTINUE HANDLER FOR SQLEXCEPTION SELECT 'SQLEXCEPTION handler was activated' AS msg; DECLARE CONTINUE HANDLER FOR SQLSTATE '42S02' SELECT 'SQLSTATE handler was activated' AS msg; END; DROP TABLE test.t; -- occurs within outer block END;
Neither handler applies because they are not in scope for the
DROP TABLE
. The condition raised
by the statement goes unhandled and terminates the procedure
with an error:
mysql> CALL p4();
ERROR 1051 (42S02): Unknown table 'test.t'
SQL statements produce diagnostic information that populates the diagnostics area. This section describes the structure of the diagnostics area in MySQL and how it differs from standard SQL. It also discusses the information items recognized by MySQL and how statements clear and set the diagnostics area.
The diagnostics area contains two kinds of information:
Statement information, such as the affected-rows count or the number of conditions that occurred.
Condition information, such as the error code and message. If a statement raises multiple conditions, this part of the diagnostics area has a condition area for each one. If a statement raises no conditions, this part of the diagnostics area is empty.
For a statement that produces three conditions, the diagnostics area contains statement and condition information like this:
Statement information: row count ... other statement information items ... Condition area list: Condition area 1: error code for condition 1 error message for condition 1 ... other condition information items ... Condition area 2: error code for condition 2: error message for condition 2 ... other condition information items ... Condition area 3: error code for condition 3 error message for condition 3 ... other condition information items ...
Standard SQL has a diagnostics area stack, containing a
diagnostics area for each nested execution context. Standard
SQL syntax includes GET STACKED DIAGNOSTICS
for referring to stacked areas. MySQL does not support the
STACKED
keyword because there is a single
diagnostics area containing information from the most recent
statement that wrote to it.
The diagnostics area contains statement and condition
information items. Numeric items are integers. The character
set for character items is UTF-8. No item can be
NULL
. If a statement or condition item is
not set by a statement that populates the diagnostics area,
its value will be 0 or the empty string, depending on the item
data type.
The statement information part of the diagnostics area contains these items:
NUMBER
: An integer indicating the
number of condition areas that have information.
ROW_COUNT
: An integer indicating the
number of rows affected by the statement.
ROW_COUNT
has the same value as the
ROW_COUNT()
function (see
Section 12.14, “Information Functions”).
The condition information part of the diagnostics area
contains a condition area for each condition. Condition areas
are numbered from 1 to the value of the
NUMBER
statement condition item. If
NUMBER
is 0, there are no condition areas.
Each condition area contains the items in the following list.
All items are standard SQL except
MYSQL_ERRNO
, which is a MySQL extension.
The definitions apply for conditions generated other than by a
signal (that is, by a SIGNAL
or
RESIGNAL
statement). For
nonsignal conditions, MySQL populates only those condition
items not described as always empty. The effects of signals on
the condition area are described later.
CLASS_ORIGIN
: A string containing the
class of the RETURNED_SQLSTATE
value.
If the RETURNED_SQLSTATE
value begins
with a class value defined in SQL standards document ISO
9075-2 (section 24.1, SQLSTATE),
CLASS_ORIGIN
is 'ISO
9075'
. Otherwise,
CLASS_ORIGIN
is
'MySQL'
.
SUBCLASS_ORIGIN
: A string containing
the subclass of the RETURNED_SQLSTATE
value. If CLASS_ORIGIN
is 'ISO
9075'
or RETURNED_SQLSTATE
ends with '000'
,
SUBCLASS_ORIGIN
is 'ISO
9075'
. Otherwise,
SUBCLASS_ORIGIN
is
'MySQL'
.
RETURNED_SQLSTATE
: A string that
indicates the SQLSTATE
value for the
condition.
MESSAGE_TEXT
: A string that indicates
the error message for the condition.
MYSQL_ERRNO
: An integer that indicates
the MySQL error code for the condition.
CONSTRAINT_CATALOG
,
CONSTRAINT_SCHEMA
,
CONSTRAINT_NAME
: Strings that indicate
the catalog, schema, and name for a violated constraint.
They are always empty.
CATALOG_NAME
,
SCHEMA_NAME
,
TABLE_NAME
,
COLUMN_NAME
: Strings that indicate the
catalog, schema, table, and column related to the
condition. They are always empty.
CURSOR_NAME
: A string that indicates
the cursor name. This is always empty.
For the RETURNED_SQLSTATE
,
MESSAGE_TEXT
, and
MYSQL_ERRNO
values for particular errors,
see Section C.3, “Server Error Codes and Messages”.
If a SIGNAL
(or
RESIGNAL
) statement populates
the diagnostics area, its SET
clause can
assign to any condition information item except
RETURNED_SQLSTATE
any value that is legal
for the item data type. SIGNAL
also sets the RETURNED_SQLSTATE
value, but
not directly in its SET
clause. That value
comes from the SIGNAL
statement
SQLSTATE
argument.
SIGNAL
also sets statement
information items. It sets NUMBER
to 1, and
ROW_COUNT
to –1 for errors and 0
otherwise.
Most SQL statements populate the diagnostics area
automatically, and its contents can be set explicitly with the
SIGNAL
and
RESIGNAL
statements. The
diagnostics area can be examined with GET
DIAGNOSTICS
to extract specific items, or with
SHOW WARNINGS
or
SHOW ERRORS
to see all
conditions or all errors.
SQL statements clear and set the diagnostics area as follows:
When the server starts executing a statement after parsing
it, it clears the diagnostics area for nondiagnostic
statements that use tables. Diagnostic statements are
SHOW WARNINGS
,
SHOW ERRORS
, and
GET DIAGNOSTICS
.
If a statement raises a condition, the diagnostics area is
cleared of conditions that belong to earlier statements.
The exception is that conditions raised by
GET DIAGNOSTICS
and
RESIGNAL
are added to the
diagnostics area without clearing it.
Thus, even a statement that does not normally clear the diagnostics area when it begins executing clears it if the statement raises a condition.
The following example shows the effect of various statements
on the diagnostics area, using SHOW
WARNINGS
to display information about all conditions
stored there.
This DROP TABLE
statement uses
a table, so it clears the diagnostics area and populates it
when the condition occurs:
mysql>DROP TABLE IF EXISTS test.no_such_table;
Query OK, 0 rows affected, 1 warning (0.01 sec) mysql>SHOW WARNINGS;
+-------+------+------------------------------------+ | Level | Code | Message | +-------+------+------------------------------------+ | Note | 1051 | Unknown table 'test.no_such_table' | +-------+------+------------------------------------+ 1 row in set (0.00 sec)
This
SET
statement does not use tables, and
SET
does not generate warnings, so it leaves the diagnostics area
unchanged:
mysql>SET @x = 1;
Query OK, 0 rows affected (0.00 sec) mysql>SHOW WARNINGS;
+-------+------+------------------------------------+ | Level | Code | Message | +-------+------+------------------------------------+ | Note | 1051 | Unknown table 'test.no_such_table' | +-------+------+------------------------------------+ 1 row in set (0.00 sec)
This
SET
statement generates an error, so it clears and populates the
diagnostics area:
mysql>SET @x = @@x;
ERROR 1193 (HY000): Unknown system variable 'x' mysql>SHOW WARNINGS;
+-------+------+-----------------------------+ | Level | Code | Message | +-------+------+-----------------------------+ | Error | 1193 | Unknown system variable 'x' | +-------+------+-----------------------------+ 1 row in set (0.00 sec)
The previous
SET
statement produced a single condition, so 1 is the only valid
condition number for GET
DIAGNOSTICS
at this point. The following statement
uses a condition number of 2, which produces a warning that is
added to the diagnostics area without clearing it:
mysql>GET DIAGNOSTICS CONDITION 2 @p = MESSAGE_TEXT;
Query OK, 0 rows affected, 1 warning (0.00 sec) mysql>SHOW WARNINGS;
+-------+------+------------------------------+ | Level | Code | Message | +-------+------+------------------------------+ | Error | 1193 | Unknown system variable 'xx' | | Error | 1753 | Invalid condition number | +-------+------+------------------------------+ 2 rows in set (0.00 sec)
Now there are two conditions in the diagnostics area, so the
same GET DIAGNOSTICS
statement
succeeds:
mysql>GET DIAGNOSTICS CONDITION 2 @p = MESSAGE_TEXT;
Query OK, 0 rows affected (0.00 sec) mysql>SELECT @p;
+--------------------------+ | @p | +--------------------------+ | Invalid condition number | +--------------------------+ 1 row in set (0.01 sec)
Certain system variables control or are related to some aspects of the diagnostics area:
max_error_count
controls
the number of condition areas in the diagnostics area. If
more conditions than this occur, MySQL silently discards
information for the excess conditions. (Conditions added
by RESIGNAL
are always
added, with older conditions being discarded as necessary
to make room.)
warning_count
indicates
the number of conditions that occurred. This includes
errors, warnings, and notes. Normally,
NUMBER
and
warning_count
are the
same. However, as the number of conditions generated
exceeds max_error_count
,
the value of
warning_count
continues
to rise whereas NUMBER
remains capped
at max_error_count
because no additional conditions are stored in the
diagnostics area.
error_count
indicates the
number of errors that occurred. This value includes
“not found” and exception conditions, but
excludes warnings and notes. Like
warning_count
, its value
can exceed
max_error_count
.
If the sql_notes
system
variable is set to 0, notes are not recorded and do not
increment warning_count
.
Example: If max_error_count
is 10, the diagnostics area can contain a maximum of 10
condition areas. Suppose that a statement raises 20
conditions, 12 of which are errors. In that case, the
diagnostics area contains the first 10 conditions,
NUMBER
is 10,
warning_count
is 20, and
error_count
is 12.
Changes to the value of
max_error_count
have no
effect until the next attempt to modify the diagnostics area.
If the diagnostics area contains 10 condition areas and
max_error_count
is set to 5,
that has no immediate effect on the size or content of the
diagnostics area.
Before MySQL 5.6, statement information items are not
available directly. ROW_COUNT
can be
obtained by calling the ROW_COUNT()
function. NUMBER
is approximated by the
value of the warning_count
system variable.
However, whereas NUMBER
is capped to the
value of max_error_count
,
warning_count
is not.
MySQL account information is stored in the tables of the
mysql
database. This database and the access
control system are discussed extensively in
Chapter 5, MySQL Server Administration, which you should consult
for additional details.
Some releases of MySQL introduce changes to the structure of the grant tables to add new privileges or features. Whenever you update to a new version of MySQL, you should update your grant tables to make sure that they have the current structure so that you can take advantage of any new capabilities. See Section 4.4.7, “mysql_upgrade — Check and Upgrade MySQL Tables”.
ALTER USERuser_specification
[,user_specification
] ...user_specification
:user
PASSWORD EXPIRE
The ALTER USER
statement alters
MySQL accounts. To use it, you must have the global
CREATE USER
privilege or the
INSERT
privilege for the
mysql
database. This statement was added in
MySQL 5.6.6.
For each account, ALTER USER
expires its password. For example:
ALTER USER 'jeffrey'@'localhost' PASSWORD EXPIRE;
The account name uses the format described in
Section 6.2.3, “Specifying Account Names”. If you specify only the user
name part of the account name, a host name part of
'%'
is used.
Password expiration for an account affects the corresponding row
of the mysql.user
table: The server sets the
password_expired
column to
'Y'
.
In MySQL 5.6.6, ALTER USER
also
sets the Password
column to the empty
string, so do not use this statement until 5.6.7.
After an account's password has been expired, all operations
performed in subsequent connections to the server using the
account result in an error until the user issues a
SET PASSWORD
statement to
establish a new account password:
mysql>SELECT 1;
ERROR 1820 (HY000): You must SET PASSWORD before executing this statement mysql>SET PASSWORD = PASSWORD('
Query OK, 0 rows affected (0.01 sec) mysql>new_password
');SELECT 1;
+---+ | 1 | +---+ | 1 | +---+ 1 row in set (0.00 sec)
It is also possible for an administrative user to reset the account password, but any existing connections for the account remain under restriction. Clients using the account must disconnect and reconnect before statements can be executed successfully.
It is possible after password expiration for a user to use
SET PASSWORD
to set the password
to its current value. As a matter of good policy, it is
preferable to choose a different password.
CREATE USERuser_specification
[,user_specification
] ...user_specification
:user
[ IDENTIFIED BY [PASSWORD] 'password
' | IDENTIFIED WITHauth_plugin
[AS 'auth_string
'] ]
The CREATE USER
statement creates
new MySQL accounts. To use it, you must have the global
CREATE USER
privilege or the
INSERT
privilege for the
mysql
database. For each account,
CREATE USER
creates a new row in
the mysql.user
table and assigns the account
no privileges. An error occurs if the account already exists.
For CREATE USER
statements that
do not specify an IDENTIFIED WITH
clause, the
server associates the account with the default authentication
plugin. As of MySQL 5.6.6, this is the plugin named by the
auth_plugin
--default-authentication-plugin
option at server startup, or
mysql_native_password
if that option is not
used. Before 5.6.6, the default plugin is
mysql_native_password
. For information about
authentication plugins, see
Section 6.3.6, “Pluggable Authentication”.
Each account name uses the format described in Section 6.2.3, “Specifying Account Names”. For example:
CREATE USER 'jeffrey'@'localhost' IDENTIFIED BY 'mypass';
If you specify only the user name part of the account name, a
host name part of '%'
is used.
The user specification may indicate how the user should authenticate when connecting to the server:
To enable the user to connect with no password (which is
insecure), include no
IDENTIFIED BY
clause:
CREATE USER 'jeffrey'@'localhost';
In this case, the account uses the default authentication plugin and clients must provide no password.
To assign a password, use IDENTIFIED BY
with the literal plaintext password value:
CREATE USER 'jeffrey'@'localhost' IDENTIFIED BY 'mypass';
The account uses the default authentication plugin and clients must match the given password.
To avoid specifying the plaintext password if you know its
hash value (the value that
PASSWORD()
would return for
the password), specify the hash value preceded by the
keyword PASSWORD
:
CREATE USER 'jeffrey'@'localhost' IDENTIFIED BY PASSWORD '*90E462C37378CED12064BB3388827D2BA3A9B689';
The account uses the default authentication plugin and the has must be in the format required by that plugin. Clients must match the given password.
To authenticate the account using a specific authentication
plugin, use IDENTIFIED WITH
, where
auth_plugin
is the plugin name.
It can be an unquoted name or a quoted string literal.
'
is an optional quoted string literal to pass to the plugin.
The plugin interprets the meaning of the string, so its
format is plugin specific. Consult the documentation for a
given plugin for information about the authentication string
values it accepts.
auth_string
'
CREATE USER 'jeffrey'@'localhost' IDENTIFIED WITH my_auth_plugin;
For connections that use this account, the server invokes the named plugin and clients must provide credentials as required for the authentication method that the plugin implements. If the server cannot find the plugin, either at account-creation time or connect time, an error occurs.
The IDENTIFIED BY
and IDENTIFIED
WITH
clauses are mutually exclusive, so at most one of
them can be specified for a given user.
For additional information about setting passwords, see Section 6.3.5, “Assigning Account Passwords”.
CREATE USER
may be recorded in
server logs or in a history file such as
~/.mysql_history
, which means that
cleartext passwords may be read by anyone having read access
to that information. See Section 6.1.2, “Keeping Passwords Secure”.
Some releases of MySQL introduce changes to the structure of the grant tables to add new privileges or features. Whenever you update to a new version of MySQL, you should update your grant tables to make sure that they have the current structure so that you can take advantage of any new capabilities. See Section 4.4.7, “mysql_upgrade — Check and Upgrade MySQL Tables”.
DROP USERuser
[,user
] ...
The DROP USER
statement removes
one or more MySQL accounts and their privileges. It removes
privilege rows for the account from all grant tables. To use
this statement, you must have the global
CREATE USER
privilege or the
DELETE
privilege for the
mysql
database. Each account name uses the
format described in Section 6.2.3, “Specifying Account Names”. For
example:
DROP USER 'jeffrey'@'localhost';
If you specify only the user name part of the account name, a
host name part of '%'
is used.
DROP USER
does not
automatically close any open user sessions. Rather, in the
event that a user with an open session is dropped, the
statement does not take effect until that user's session is
closed. Once the session is closed, the user is dropped, and
that user's next attempt to log in will fail. This
is by design.
DROP USER
does not automatically
drop or invalidate databases or objects within them that the old
user created. This includes stored programs or views for which
the DEFINER
attribute names the dropped user.
Attempts to access such objects may produce an error if they
execute in definer security context. (For information about
security context, see
Section 18.6, “Access Control for Stored Programs and Views”.)
GRANTpriv_type
[(column_list
)] [,priv_type
[(column_list
)]] ... ON [object_type
]priv_level
TOuser_specification
[,user_specification
] ... [REQUIRE {NONE |ssl_option
[[AND]ssl_option
] ...}] [WITHwith_option
...] GRANT PROXY ONuser_specification
TOuser_specification
[,user_specification
] ... [WITH GRANT OPTION]object_type
: TABLE | FUNCTION | PROCEDUREpriv_level
: * | *.* |db_name
.* |db_name.tbl_name
|tbl_name
|db_name
.routine_name
user_specification
:user
[ IDENTIFIED BY [PASSWORD] 'password
' | IDENTIFIED WITHauth_plugin
[AS 'auth_string
'] ]ssl_option
: SSL | X509 | CIPHER 'cipher
' | ISSUER 'issuer
' | SUBJECT 'subject
'with_option
: GRANT OPTION | MAX_QUERIES_PER_HOURcount
| MAX_UPDATES_PER_HOURcount
| MAX_CONNECTIONS_PER_HOURcount
| MAX_USER_CONNECTIONScount
The GRANT
statement grants
privileges to MySQL user accounts.
GRANT
also serves to specify
other account characteristics such as use of secure connections
and limits on access to server resources. To use
GRANT
, you must have the
GRANT OPTION
privilege, and you
must have the privileges that you are granting.
Normally, a database administrator first uses
CREATE USER
to create an account,
then GRANT
to define its
privileges and characteristics. For example:
CREATE USER 'jeffrey'@'localhost' IDENTIFIED BY 'mypass'; GRANT ALL ON db1.* TO 'jeffrey'@'localhost'; GRANT SELECT ON db2.invoice TO 'jeffrey'@'localhost'; GRANT USAGE ON *.* TO 'jeffrey'@'localhost' WITH MAX_QUERIES_PER_HOUR 90;
However, if an account named in a
GRANT
statement does not already
exist, GRANT
may create it under
the conditions described later in the discussion of the
NO_AUTO_CREATE_USER
SQL mode.
The REVOKE
statement is related
to GRANT
and enables
administrators to remove account privileges. See
Section 13.7.1.6, “REVOKE
Syntax”.
When successfully executed from the mysql
program, GRANT
responds with
Query OK, 0 rows affected
. To determine what
privileges result from the operation, use
SHOW GRANTS
. See
Section 13.7.5.22, “SHOW GRANTS
Syntax”.
There are several aspects to the GRANT
statement, described under the following topics in this section:
Some releases of MySQL introduce changes to the structure of the grant tables to add new privileges or features. Whenever you update to a new version of MySQL, you should update your grant tables to make sure that they have the current structure so that you can take advantage of any new capabilities. See Section 4.4.7, “mysql_upgrade — Check and Upgrade MySQL Tables”.
The following table summarizes the permissible
priv_type
privilege types that can be
specified for the GRANT
and
REVOKE
statements. For additional
information about these privileges, see
Section 6.2.1, “Privileges Provided by MySQL”.
Table 13.1. Permissible Privileges for GRANT
and
REVOKE
Privilege | Meaning |
---|---|
ALL [PRIVILEGES] | Grant all privileges at specified access level except
GRANT OPTION |
ALTER | Enable use of ALTER TABLE |
ALTER ROUTINE | Enable stored routines to be altered or dropped |
CREATE | Enable database and table creation |
CREATE ROUTINE | Enable stored routine creation |
CREATE TABLESPACE | Enable tablespaces and log file groups to be created, altered, or dropped |
CREATE TEMPORARY TABLES | Enable use of CREATE
TEMPORARY TABLE |
CREATE USER | Enable use of CREATE USER ,
DROP USER ,
RENAME USER , and
REVOKE ALL
PRIVILEGES |
CREATE VIEW | Enable views to be created or altered |
DELETE | Enable use of DELETE |
DROP | Enable databases, tables, and views to be dropped |
EVENT | Enable use of events for the Event Scheduler |
EXECUTE | Enable the user to execute stored routines |
FILE | Enable the user to cause the server to read or write files |
GRANT OPTION | Enable privileges to be granted to or removed from other accounts |
INDEX | Enable indexes to be created or dropped |
INSERT | Enable use of INSERT |
LOCK TABLES | Enable use of LOCK TABLES on tables for
which you have the SELECT
privilege |
PROCESS | Enable the user to see all processes with SHOW
PROCESSLIST |
PROXY | Enable user proxying |
REFERENCES | Not implemented |
RELOAD | Enable use of FLUSH operations |
REPLICATION CLIENT | Enable the user to ask where master or slave servers are |
REPLICATION SLAVE | Enable replication slaves to read binary log events from the master |
SELECT | Enable use of SELECT |
SHOW DATABASES | Enable SHOW DATABASES to show all
databases |
SHOW VIEW | Enable use of SHOW CREATE VIEW |
SHUTDOWN | Enable use of mysqladmin shutdown |
SUPER | Enable use of other administrative operations such as
CHANGE MASTER TO ,
KILL ,
PURGE BINARY LOGS ,
SET
GLOBAL , and mysqladmin
debug command |
TRIGGER | Enable trigger operations |
UPDATE | Enable use of UPDATE |
USAGE | Synonym for “no privileges” |
A trigger is associated with a table, so to create or drop a
trigger, you must have the
TRIGGER
privilege for the table,
not the trigger.
In GRANT
statements, the
ALL [PRIVILEGES]
or PROXY
privilege must be named
by itself and cannot be specified along with other privileges.
ALL [PRIVILEGES]
stands for all privileges available for the level at which
privileges are to be granted except for the
GRANT OPTION
and
PROXY
privileges.
USAGE
can be specified to create
a user that has no privileges, or to specify the
REQUIRE
or WITH
clauses
for an account without changing its existing privileges.
MySQL account information is stored in the tables of the
mysql
database. This database and the access
control system are discussed extensively in
Section 6.2, “The MySQL Access Privilege System”, which you should consult for
additional details.
If the grant tables hold privilege rows that contain mixed-case
database or table names and the
lower_case_table_names
system
variable is set to a nonzero value,
REVOKE
cannot be used to revoke
these privileges. It will be necessary to manipulate the grant
tables directly. (GRANT
will not
create such rows when
lower_case_table_names
is set,
but such rows might have been created prior to setting that
variable.)
Privileges can be granted at several levels, depending on the
syntax used for the ON
clause. For
REVOKE
, the same
ON
syntax specifies which privileges to take
away. The examples shown here include no IDENTIFIED BY
'
clause for
brevity, but you should include one if the account does not
already exist, to avoid creating an insecure account that has no
password.
password
'
Global privileges are administrative or apply to all databases
on a given server. To assign global privileges, use ON
*.*
syntax:
GRANT ALL ON *.* TO 'someuser'@'somehost'; GRANT SELECT, INSERT ON *.* TO 'someuser'@'somehost';
The CREATE TABLESPACE
,
CREATE USER
,
FILE
,
PROCESS
,
RELOAD
,
REPLICATION CLIENT
,
REPLICATION SLAVE
,
SHOW DATABASES
,
SHUTDOWN
, and
SUPER
privileges are
administrative and can only be granted globally.
Other privileges can be granted globally or at more specific levels.
MySQL stores global privileges in the
mysql.user
table.
Database privileges apply to all objects in a given database. To
assign database-level privileges, use ON
syntax:
db_name
.*
GRANT ALL ON mydb.* TO 'someuser'@'somehost'; GRANT SELECT, INSERT ON mydb.* TO 'someuser'@'somehost';
If you use ON *
syntax (rather than
ON *.*
) and you have selected a default
database, privileges are assigned at the database level for the
default database. An error occurs if there is no default
database.
The CREATE
,
DROP
,
EVENT
, GRANT
OPTION
, and LOCK TABLES
privileges can be specified at the database level. Table or
routine privileges also can be specified at the database level,
in which case they apply to all tables or routines in the
database.
MySQL stores database privileges in the
mysql.db
table.
Table privileges apply to all columns in a given table. To
assign table-level privileges, use ON
syntax:
db_name.tbl_name
GRANT ALL ON mydb.mytbl TO 'someuser'@'somehost'; GRANT SELECT, INSERT ON mydb.mytbl TO 'someuser'@'somehost';
If you specify tbl_name
rather than
db_name.tbl_name
, the statement
applies to tbl_name
in the default
database. An error occurs if there is no default database.
The permissible priv_type
values at
the table level are ALTER
,
CREATE VIEW
,
CREATE
,
DELETE
,
DROP
, GRANT
OPTION
, INDEX
,
INSERT
,
SELECT
, SHOW
VIEW
, TRIGGER
, and
UPDATE
.
MySQL stores table privileges in the
mysql.tables_priv
table.
Column privileges apply to single columns in a given table. Each privilege to be granted at the column level must be followed by the column or columns, enclosed within parentheses.
GRANT SELECT (col1), INSERT (col1,col2) ON mydb.mytbl TO 'someuser'@'somehost';
The permissible priv_type
values for
a column (that is, when you use a
column_list
clause) are
INSERT
,
SELECT
, and
UPDATE
.
MySQL stores column privileges in the
mysql.columns_priv
table.
The ALTER ROUTINE
,
CREATE ROUTINE
,
EXECUTE
, and
GRANT OPTION
privileges apply to
stored routines (procedures and functions). They can be granted
at the global and database levels. Except for
CREATE ROUTINE
, these privileges
can be granted at the routine level for individual routines.
GRANT CREATE ROUTINE ON mydb.* TO 'someuser'@'somehost'; GRANT EXECUTE ON PROCEDURE mydb.myproc TO 'someuser'@'somehost';
The permissible priv_type
values at
the routine level are ALTER
ROUTINE
, EXECUTE
, and
GRANT OPTION
.
CREATE ROUTINE
is not a
routine-level privilege because you must have this privilege to
create a routine in the first place.
MySQL stores routine-level privileges in the
mysql.procs_priv
table.
The PROXY
privilege enables one
user to be a proxy for another. The proxy user impersonates or
takes the identity of the proxied user.
GRANT PROXY ON 'localuser'@'localhost' TO 'externaluser'@'somehost';
When PROXY
is granted, it must be
the only privilege named in the
GRANT
statement, the
REQUIRE
clause cannot be given, and the only
permitted WITH
option is WITH GRANT
OPTION
.
Proxying requires that the proxy user authenticate through a
plugin that returns the name of the proxied user to the server
when the proxy user connects, and that the proxy user have the
PROXY
privilege for the proxied user. For
details and examples, see Section 6.3.7, “Proxy Users”.
MySQL stores proxy privileges in the
mysql.proxies_priv
table.
For the global, database, table, and routine levels,
GRANT ALL
assigns only the privileges that exist at the level you are
granting. For example, GRANT ALL ON
is a
database-level statement, so it does not grant any global-only
privileges such as db_name
.*FILE
. Granting
ALL
does not assign the
PROXY
privilege.
The object_type
clause, if present,
should be specified as TABLE
,
FUNCTION
, or PROCEDURE
when the following object is a table, a stored function, or a
stored procedure.
The privileges for a database, table, column, or routine are
formed additively as the logical OR
of the privileges at each of the privilege levels. For example,
if a user has a global SELECT
privilege, the privilege cannot be denied by an absence of the
privilege at the database, table, or column level. Details of
the privilege-checking procedure are presented in
Section 6.2.5, “Access Control, Stage 2: Request Verification”.
MySQL enables you to grant privileges on databases or tables
that do not exist. For tables, the privileges to be granted must
include the CREATE
privilege.
This behavior is by design, and is intended
to enable the database administrator to prepare user accounts
and privileges for databases or tables that are to be created at
a later time.
MySQL does not automatically revoke any privileges when you drop a database or table. However, if you drop a routine, any routine-level privileges granted for that routine are revoked.
The user
value indicates the MySQL
account to which the GRANT
statement applies. To accommodate granting rights to users from
arbitrary hosts, MySQL supports specifying the
user
value in the form
.
If a user_name
@host_name
user_name
or
host_name
value is legal as an
unquoted identifier, you need not quote it. However, quotation
marks are necessary to specify a
user_name
string containing special
characters (such as “-
”), or a
host_name
string containing special
characters or wildcard characters (such as
“%
”); for example,
'test-user'@'%.com'
. Quote the user name and
host name separately.
You can specify wildcards in the host name. For example,
applies to user_name
@'%.example.com'user_name
for any host in
the example.com
domain, and
applies to user_name
@'192.168.1.%'user_name
for any host in
the 192.168.1
class C subnet.
The simple form user_name
is a
synonym for
.
user_name
@'%'
MySQL does not support wildcards in user
names. To refer to an anonymous user, specify an
account with an empty user name with the
GRANT
statement:
GRANT ALL ON test.* TO ''@'localhost' ...
In this case, any user who connects from the local host with the correct password for the anonymous user will be permitted access, with the privileges associated with the anonymous-user account.
For additional information about user name and host name values in account names, see Section 6.2.3, “Specifying Account Names”.
To specify quoted values, quote database, table, column, and routine names as identifiers. Quote user names and host names as identifiers or as strings. Quote passwords as strings. For string-quoting and identifier-quoting guidelines, see Section 9.1.1, “String Literals”, and Section 9.2, “Schema Object Names”.
The “_
” and
“%
” wildcards are permitted when
specifying database names in
GRANT
statements that grant
privileges at the global or database levels. This means, for
example, that if you want to use a
“_
” character as part of a
database name, you should specify it as
“\_
” in the
GRANT
statement, to prevent the
user from being able to access additional databases matching the
wildcard pattern; for example, GRANT ... ON
`foo\_bar`.* TO ...
.
If you permit anonymous users to connect to the MySQL server,
you should also grant privileges to all local users as
.
Otherwise, the anonymous user account for
user_name
@localhostlocalhost
in the
mysql.user
table (created during MySQL
installation) is used when named users try to log in to the
MySQL server from the local machine. For details, see
Section 6.2.4, “Access Control, Stage 1: Connection Verification”.
To determine whether the preceding warning applies to you, execute the following query, which lists any anonymous users:
SELECT Host, User FROM mysql.user WHERE User='';
To avoid the problem just described, delete the local anonymous user account using this statement:
DROP USER ''@'localhost';
GRANT
supports host names up to
60 characters long. Database, table, column, and routine names
can be up to 64 characters. User names can be up to 16
characters.
The permissible length for user names cannot be
changed by altering the mysql.user
table.
Attempting to do so results in unpredictable behavior which
may even make it impossible for users to log in to the MySQL
server. You should never alter any of the tables in
the mysql
database in any manner whatsoever
except by means of the procedure described in
Section 4.4.7, “mysql_upgrade — Check and Upgrade MySQL Tables”.
The user specification may indicate how the user should
authenticate when connecting to the server, through inclusion of
an IDENTIFIED BY
or IDENTIFIED
WITH
clause. The syntax is the same as for the
CREATE USER
statement. See
Section 13.7.1.2, “CREATE USER
Syntax”.
When the IDENTIFIED BY
clause is present and
you have global grant privileges, the password becomes the new
password for the account, even if the account exists and already
has a password. With no IDENTIFIED BY
clause,
the account password remains unchanged.
If the account named in a GRANT
statement does not exist in the mysql.user
table, GRANT
creates it if the
NO_AUTO_CREATE_USER
SQL mode
is not enabled. This is very insecure
unless you specify a nonempty password using IDENTIFIED
BY
or an authentication plugin using
IDENTIFIED WITH
.
If the account does not exist and
NO_AUTO_CREATE_USER
is
enabled, GRANT
fails and does not
create the account unless you specify a nonempty password with
IDENTIFIED BY
or specify an
IDENTIFIED WITH
clause to name an
authentication plugin.
GRANT
may be recorded in server
logs or in a history file such as
~/.mysql_history
, which means that
cleartext passwords may be read by anyone having read access
to that information. See Section 6.1.2, “Keeping Passwords Secure”.
The WITH
clause is used for several purposes:
To enable a user to grant privileges to other users
To specify resource limits for a user
To specify whether and how a user must use secure connections to the server
The WITH GRANT OPTION
clause gives the user
the ability to give to other users any privileges the user has
at the specified privilege level. You should be careful to whom
you give the GRANT OPTION
privilege because two users with different privileges may be
able to combine privileges!
You cannot grant another user a privilege which you yourself do
not have; the GRANT OPTION
privilege enables you to assign only those privileges which you
yourself possess.
Be aware that when you grant a user the
GRANT OPTION
privilege at a
particular privilege level, any privileges the user possesses
(or may be given in the future) at that level can also be
granted by that user to other users. Suppose that you grant a
user the INSERT
privilege on a
database. If you then grant the
SELECT
privilege on the database
and specify WITH GRANT OPTION
, that user can
give to other users not only the
SELECT
privilege, but also
INSERT
. If you then grant the
UPDATE
privilege to the user on
the database, the user can grant
INSERT
,
SELECT
, and
UPDATE
.
For a nonadministrative user, you should not grant the
ALTER
privilege globally or for
the mysql
database. If you do that, the user
can try to subvert the privilege system by renaming tables!
For additional information about security risks associated with particular privileges, see Section 6.2.1, “Privileges Provided by MySQL”.
Several WITH
clause options specify limits on
use of server resources by an account:
The MAX_QUERIES_PER_HOUR
,
count
MAX_UPDATES_PER_HOUR
, and
count
MAX_CONNECTIONS_PER_HOUR
limits restrict
the number of queries, updates, and connections to the
server permitted to this account during any given one-hour
period. (Queries for which results are served from the query
cache do not count against the
count
MAX_QUERIES_PER_HOUR
limit.) If
count
is 0
(the default), this means that there is no limitation for
the account.
The MAX_USER_CONNECTIONS
limit restricts
the maximum number of simultaneous connections to the server
by the account. A nonzero count
count
specifies the limit for the account explicitly. If
count
is 0
(the default), the server determines the number of
simultaneous connections for the account from the global
value of the
max_user_connections
system
variable. If
max_user_connections
is
also zero, there is no limit for the account.
To specify resource limits for an existing user without
affecting existing privileges, use
GRANT USAGE
at
the global level (ON *.*
) and name the limits
to be changed. For example:
GRANT USAGE ON *.* TO ... WITH MAX_QUERIES_PER_HOUR 500 MAX_UPDATES_PER_HOUR 100;
Limits not specified retain their current values.
For more information on restricting access to server resources, see Section 6.3.4, “Setting Account Resource Limits”.
MySQL can check X509 certificate attributes in addition to the
usual authentication that is based on the user name and
password. To specify SSL-related options for a MySQL account,
use the REQUIRE
clause of the
GRANT
statement. (For background
information on the use of SSL with MySQL, see
Section 6.3.8, “Using SSL for Secure Connections”.)
There are a number of different possibilities for limiting connection types for a given account:
REQUIRE NONE
indicates that the account
has no SSL or X509 requirements. This is the default if no
SSL-related REQUIRE
options are
specified. Unencrypted connections are permitted if the user
name and password are valid. However, encrypted connections
can also be used, at the client's option, if the client has
the proper certificate and key files. That is, the client
need not specify any SSL command options, in which case the
connection will be unencrypted. To use an encrypted
connection, the client must specify either the
--ssl-ca
option, or all
three of the --ssl-ca
,
--ssl-key
, and
--ssl-cert
options.
The REQUIRE SSL
option tells the server
to permit only SSL-encrypted connections for the account.
GRANT ALL PRIVILEGES ON test.* TO 'root'@'localhost' IDENTIFIED BY 'goodsecret' REQUIRE SSL;
To connect, the client must specify the
--ssl-ca
option to
authenticate the server certificate, and may additionally
specify the --ssl-key
and
--ssl-cert
options. If
neither --ssl-ca
option nor
--ssl-capath
option is
specified, the client does not authenticate the server
certificate.
REQUIRE X509
means that the client must
have a valid certificate but that the exact certificate,
issuer, and subject do not matter. The only requirement is
that it should be possible to verify its signature with one
of the CA certificates.
GRANT ALL PRIVILEGES ON test.* TO 'root'@'localhost' IDENTIFIED BY 'goodsecret' REQUIRE X509;
To connect, the client must specify the
--ssl-ca
,
--ssl-key
, and
--ssl-cert
options. This is
also true for ISSUER
and
SUBJECT
because those
REQUIRE
options imply
X509
.
REQUIRE ISSUER
'
places the
restriction on connection attempts that the client must
present a valid X509 certificate issued by CA
issuer
''
. If
the client presents a certificate that is valid but has a
different issuer, the server rejects the connection. Use of
X509 certificates always implies encryption, so the
issuer
'SSL
option is unnecessary in this case.
GRANT ALL PRIVILEGES ON test.* TO 'root'@'localhost' IDENTIFIED BY 'goodsecret' REQUIRE ISSUER '/C=FI/ST=Some-State/L=Helsinki/ O=MySQL Finland AB/CN=Tonu Samuel/[email protected]';
The '
value should be entered as a single string.
issuer
'
If MySQL is linked against a version of OpenSSL older than
0.9.6h, use Email
rather than
emailAddress
in the
'
value.
issuer
'
REQUIRE SUBJECT
'
places the
restriction on connection attempts that the client must
present a valid X509 certificate containing the subject
subject
'subject
. If the client presents a
certificate that is valid but has a different subject, the
server rejects the connection.
GRANT ALL PRIVILEGES ON test.* TO 'root'@'localhost' IDENTIFIED BY 'goodsecret' REQUIRE SUBJECT '/C=EE/ST=Some-State/L=Tallinn/ O=MySQL demo client certificate/ CN=Tonu Samuel/[email protected]';
The '
value should be entered as a single string.
subject
'
Regarding emailAddress
, see the note in
the description of REQUIRE ISSUER
.
REQUIRE CIPHER
'
is needed to
ensure that ciphers and key lengths of sufficient strength
are used. SSL itself can be weak if old algorithms using
short encryption keys are used. Using this option, you can
ask that a specific cipher method is used for a connection.
cipher
'
GRANT ALL PRIVILEGES ON test.* TO 'root'@'localhost' IDENTIFIED BY 'goodsecret' REQUIRE CIPHER 'EDH-RSA-DES-CBC3-SHA';
The SUBJECT
, ISSUER
, and
CIPHER
options can be combined in the
REQUIRE
clause like this:
GRANT ALL PRIVILEGES ON test.* TO 'root'@'localhost' IDENTIFIED BY 'goodsecret' REQUIRE SUBJECT '/C=EE/ST=Some-State/L=Tallinn/ O=MySQL demo client certificate/ CN=Tonu Samuel/[email protected]' AND ISSUER '/C=FI/ST=Some-State/L=Helsinki/ O=MySQL Finland AB/CN=Tonu Samuel/[email protected]' AND CIPHER 'EDH-RSA-DES-CBC3-SHA';
The order of the options does not matter, but no option can be
specified twice. The AND
keyword is optional
between REQUIRE
options.
If you are using table, column, or routine privileges for even one user, the server examines table, column, and routine privileges for all users and this slows down MySQL a bit. Similarly, if you limit the number of queries, updates, or connections for any users, the server must monitor these values.
GRANT
The biggest differences between the MySQL and standard SQL
versions of GRANT
are:
MySQL associates privileges with the combination of a host name and user name and not with only a user name.
Standard SQL does not have global or database-level privileges, nor does it support all the privilege types that MySQL supports.
MySQL does not support the standard SQL
UNDER
privilege.
Standard SQL privileges are structured in a hierarchical
manner. If you remove a user, all privileges the user has
been granted are revoked. This is also true in MySQL if you
use DROP USER
. See
Section 13.7.1.3, “DROP USER
Syntax”.
In standard SQL, when you drop a table, all privileges for
the table are revoked. In standard SQL, when you revoke a
privilege, all privileges that were granted based on that
privilege are also revoked. In MySQL, privileges can be
dropped only with explicit DROP
USER
or REVOKE
statements or by manipulating the MySQL grant tables
directly.
In MySQL, it is possible to have the
INSERT
privilege for only
some of the columns in a table. In this case, you can still
execute INSERT
statements on
the table, provided that you insert values only for those
columns for which you have the
INSERT
privilege. The omitted
columns are set to their implicit default values if strict
SQL mode is not enabled. In strict mode, the statement is
rejected if any of the omitted columns have no default
value. (Standard SQL requires you to have the
INSERT
privilege on all
columns.) Section 5.1.7, “Server SQL Modes”, discusses
strict mode. Section 11.5, “Data Type Default Values”, discusses
implicit default values.
RENAME USERold_user
TOnew_user
[,old_user
TOnew_user
] ...
The RENAME USER
statement renames
existing MySQL accounts. To use it, you must have the global
CREATE USER
privilege or the
UPDATE
privilege for the
mysql
database. An error occurs if any old
account does not exist or any new account exists. Each account
name uses the format described in
Section 6.2.3, “Specifying Account Names”. For example:
RENAME USER 'jeffrey'@'localhost' TO 'jeff'@'127.0.0.1';
If you specify only the user name part of the account name, a
host name part of '%'
is used.
RENAME USER
causes the privileges
held by the old user to be those held by the new user. However,
RENAME USER
does not
automatically drop or invalidate databases or objects within
them that the old user created. This includes stored programs or
views for which the DEFINER
attribute names
the old user. Attempts to access such objects may produce an
error if they execute in definer security context. (For
information about security context, see
Section 18.6, “Access Control for Stored Programs and Views”.)
The privilege changes take effect as indicated in Section 6.2.6, “When Privilege Changes Take Effect”.
REVOKEpriv_type
[(column_list
)] [,priv_type
[(column_list
)]] ... ON [object_type
]priv_level
FROMuser
[,user
] ... REVOKE ALL PRIVILEGES, GRANT OPTION FROMuser
[,user
] ... REVOKE PROXY ONuser
FROMuser
[,user
] ...
The REVOKE
statement enables
system administrators to revoke privileges from MySQL accounts.
Each account name uses the format described in
Section 6.2.3, “Specifying Account Names”. For example:
REVOKE INSERT ON *.* FROM 'jeffrey'@'localhost';
If you specify only the user name part of the account name, a
host name part of '%'
is used.
For details on the levels at which privileges exist, the
permissible priv_type
and
priv_level
values, and the syntax for
specifying users and passwords, see Section 13.7.1.4, “GRANT
Syntax”
To use the first REVOKE
syntax,
you must have the GRANT OPTION
privilege, and you must have the privileges that you are
revoking.
To revoke all privileges, use the second syntax, which drops all global, database, table, column, and routine privileges for the named user or users:
REVOKE ALL PRIVILEGES, GRANT OPTION FROMuser
[,user
] ...
To use this REVOKE
syntax, you
must have the global CREATE USER
privilege or the UPDATE
privilege
for the mysql
database.
REVOKE
removes privileges, but
does not drop mysql.user
table entries. To
remove a user account entirely, use DROP
USER
(see Section 13.7.1.3, “DROP USER
Syntax”) or
DELETE
.
If the grant tables hold privilege rows that contain mixed-case
database or table names and the
lower_case_table_names
system
variable is set to a nonzero value,
REVOKE
cannot be used to revoke
these privileges. It will be necessary to manipulate the grant
tables directly. (GRANT
will not
create such rows when
lower_case_table_names
is set,
but such rows might have been created prior to setting the
variable.)
When successfully executed from the mysql
program, REVOKE
responds with
Query OK, 0 rows affected
. To determine what
privileges result from the operation, use
SHOW GRANTS
. See
Section 13.7.5.22, “SHOW GRANTS
Syntax”.
SET PASSWORD [FORuser
] = { PASSWORD('cleartext password
') | OLD_PASSWORD('cleartext password
') | 'encrypted password
' }
The SET PASSWORD
statement
assigns a password to an existing MySQL user account. When the
read_only
system variable is
enabled, the SUPER
privilege is
required to use SET PASSWORD
, in
addition to whatever other privileges might be required.
If the password is specified using the
PASSWORD()
or
OLD_PASSWORD()
function, the
cleartext (unencrypted) password should be given as the argument
to the function, which hashes the password and returns the
encrypted password string. If the password is specified without
using either function, it should be the already encrypted
password value as a literal string. In all cases, the encrypted
password string must be in the format required by the
authentication method used for the account.
With no FOR
clause, this statement sets the password for the current user.
(To see which account the server authenticated you as, invoke
the user
CURRENT_USER()
function.) Any
client who successfully connects to the server using a
nonanonymous account can change the password for that account.
With a FOR
clause, this statement sets the password for the named user. You
must have the user
UPDATE
privilege
for the mysql
database to do this. The user
account name uses the format described in
Section 6.2.3, “Specifying Account Names”. The
user
value should be given as
'
,
where user_name
'@'host_name
''
and user_name
''
are exactly as listed in the host_name
'User
and
Host
columns of the
mysql.user
table row. (If you specify only a
user name, a host name of '%'
is used.) For
example, to set the password for an account with
User
and Host
column
values of 'bob'
and
'%.example.org'
, write the statement like
this:
SET PASSWORD FOR 'bob'@'%.example.org' = PASSWORD('cleartext password
');
That is equivalent to the following statements:
UPDATE mysql.user SET Password=PASSWORD('cleartext password
')
WHERE User='bob' AND Host='%.example.org';
FLUSH PRIVILEGES;
Another way to set the password is to use
GRANT
:
GRANT USAGE ON *.* TO 'bob'@'%.example.org' IDENTIFIED BY 'cleartext password
';
The old_passwords
system
variable value determines the hashing method used by
PASSWORD()
. If you specify the
password using that function and SET
PASSWORD
rejects the password as not being in the
correct format, it may be necessary to set
old_passwords
to change the
hashing method. For descriptions of the permitted values, see
Section 5.1.4, “Server System Variables”.
For more information about setting passwords, see Section 6.3.5, “Assigning Account Passwords”
SET PASSWORD
may be recorded in
server logs or in a history file such as
~/.mysql_history
, which means that
cleartext passwords may be read by anyone having read access
to that information. See Section 6.1.2, “Keeping Passwords Secure”.
If you are connecting to a MySQL 4.1 or later server using a pre-4.1 client program, do not change your password without first reading Section 6.1.2.4, “Password Hashing in MySQL”. The default password hashing format changed in MySQL 4.1, and if you change your password, it might be stored using a hashing format that pre-4.1 clients cannot generate, thus preventing you from connecting to the server afterward.
If you are using MySQL Replication, be aware that, currently, a
password used by a replication slave as part of a
CHANGE MASTER TO
statement is
effectively limited to 32 characters in length; the password can
be longer, but any excess characters are truncated. This is not
due to any limit imposed by the MySQL Server generally, but
rather is an issue specific to MySQL Replication. (For more
information, see Bug #43439.)
ANALYZE [NO_WRITE_TO_BINLOG | LOCAL] TABLEtbl_name
[,tbl_name
] ...
ANALYZE TABLE
analyzes and stores the key
distribution for a table. During the analysis, the table is
locked with a read lock for InnoDB
and
MyISAM
. This statement works with
InnoDB
, NDB
, and
MyISAM
tables. For MyISAM
tables, this statement is equivalent to using myisamchk
--analyze.
For more information on how the analysis works within
InnoDB
, see
Section 14.2.5.2.9, “Persistent Optimizer Statistics for InnoDB Tables” and
Section 14.2.8, “Limits on InnoDB
Tables”. In particular, when you
enable the
innodb_stats_persistent
option,
you must run ANALYZE TABLE
after loading
substantial data into an InnoDB
table, or
creating a new index for one.
MySQL uses the stored key distribution to decide the order in which tables should be joined when you perform a join on something other than a constant. In addition, key distributions can be used when deciding which indexes to use for a specific table within a query.
This statement requires SELECT
and INSERT
privileges for the
table.
ANALYZE TABLE
is supported for partitioned
tables, and you can use ALTER TABLE ... ANALYZE
PARTITION
to analyze one or more partitions; for more
information, see Section 13.1.6, “ALTER TABLE
Syntax”, and
Section 17.3.4, “Maintenance of Partitions”.
ANALYZE TABLE
returns a result set with the
following columns.
Column | Value |
---|---|
Table | The table name |
Op | Always analyze |
Msg_type | status , error ,
info , note , or
warning |
Msg_text | An informational message |
You can check the stored key distribution with the
SHOW INDEX
statement. See
Section 13.7.5.23, “SHOW INDEX
Syntax”.
If the table has not changed since the last ANALYZE
TABLE
statement, the table is not analyzed again.
By default, the server writes ANALYZE
TABLE
statements to the binary log so that they
replicate to replication slaves. To suppress logging, use the
optional NO_WRITE_TO_BINLOG
keyword or its
alias LOCAL
.
CHECK TABLEtbl_name
[,tbl_name
] ... [option
] ...option
= {FOR UPGRADE | QUICK | FAST | MEDIUM | EXTENDED | CHANGED}
CHECK TABLE
checks a table or tables for
errors. CHECK TABLE
works for
InnoDB
,
MyISAM
,
ARCHIVE
, and
CSV
tables. For
MyISAM
tables, the key statistics are updated
as well.
To check a table, you must have some privilege for it.
CHECK TABLE
can also check views for
problems, such as tables that are referenced in the view
definition that no longer exist.
CHECK TABLE
is supported for partitioned
tables, and you can use ALTER TABLE ... CHECK
PARTITION
to check one or more partitions; for more
information, see Section 13.1.6, “ALTER TABLE
Syntax”, and
Section 17.3.4, “Maintenance of Partitions”.
CHECK TABLE
returns a result set with the
following columns.
Column | Value |
---|---|
Table | The table name |
Op | Always check |
Msg_type | status , error ,
info , note , or
warning |
Msg_text | An informational message |
Note that the statement might produce many rows of information
for each checked table. The last row has a
Msg_type
value of status
and the Msg_text
normally should be
OK
. If you don't get OK
,
or Table is already up to date
you should
normally run a repair of the table. See
Section 7.6, “MyISAM
Table Maintenance and Crash Recovery”. Table is
already up to date
means that the storage engine for
the table indicated that there was no need to check the table.
The FOR UPGRADE
option checks whether the
named tables are compatible with the current version of MySQL.
With FOR UPGRADE
, the server checks each
table to determine whether there have been any incompatible
changes in any of the table's data types or indexes since the
table was created. If not, the check succeeds. Otherwise, if
there is a possible incompatibility, the server runs a full
check on the table (which might take some time). If the full
check succeeds, the server marks the table's
.frm
file with the current MySQL version
number. Marking the .frm
file ensures that
further checks for the table with the same version of the server
will be fast.
Incompatibilities might occur because the storage format for a data type has changed or because its sort order has changed. Our aim is to avoid these changes, but occasionally they are necessary to correct problems that would be worse than an incompatibility between releases.
Currently, FOR UPGRADE
discovers these
incompatibilities:
The indexing order for end-space in
TEXT
columns for
InnoDB
and MyISAM
tables changed between MySQL 4.1 and 5.0.
The storage method of the new
DECIMAL
data type changed
between MySQL 5.0.3 and 5.0.5.
If your table was created by a different version of the
MySQL server than the one you are currently running,
FOR UPGRADE
indicates that the table has
an .frm
file with an incompatible
version. In this case, the result set returned by
CHECK TABLE
contains a line
with a Msg_type
value of
error
and a Msg_text
value of Table upgrade required. Please do "REPAIR
TABLE `
tbl_name
`" to fix
it!
Changes are sometimes made to character sets or collations
that require table indexes to be rebuilt. For details about
these changes and when FOR UPGRADE
detects them, see
Section 2.11.3, “Checking Whether Tables or Indexes Must Be Rebuilt”.
The YEAR(2)
is deprecated as
of MySQL 5.6.6. CHECK TABLE
recommends REPAIR TABLE
for
tables containing this data type.
REPAIR TABLE
converts
YEAR(2)
to
YEAR(4)
.
The other check options that can be given are shown in the following table. These options are passed to the storage engine, which may use them or not.
Type | Meaning |
---|---|
QUICK | Do not scan the rows to check for incorrect links. Applies to
InnoDB and MyISAM
tables and views. |
FAST | Check only tables that have not been closed properly. Applies only to
MyISAM tables and views; ignored for
InnoDB . |
CHANGED | Check only tables that have been changed since the last check or that
have not been closed properly. Applies only to
MyISAM tables and views; ignored for
InnoDB . |
MEDIUM | Scan rows to verify that deleted links are valid. This also calculates a
key checksum for the rows and verifies this with a
calculated checksum for the keys. Applies only to
MyISAM tables and views; ignored for
InnoDB . |
EXTENDED | Do a full key lookup for all keys for each row. This ensures that the
table is 100% consistent, but takes a long time. Applies
only to MyISAM tables and views;
ignored for InnoDB . |
If none of the options QUICK
,
MEDIUM
, or EXTENDED
are
specified, the default check type for dynamic-format
MyISAM
tables is MEDIUM
.
This has the same result as running myisamchk
--medium-check tbl_name
on
the table. The default check type also is
MEDIUM
for static-format
MyISAM
tables, unless
CHANGED
or FAST
is
specified. In that case, the default is
QUICK
. The row scan is skipped for
CHANGED
and FAST
because
the rows are very seldom corrupted.
You can combine check options, as in the following example that does a quick check on the table to determine whether it was closed properly:
CHECK TABLE test_table FAST QUICK;
In some cases, CHECK TABLE
changes the table. This happens if the table is marked as
“corrupted” or “not closed properly”
but CHECK TABLE
does not find
any problems in the table. In this case,
CHECK TABLE
marks the table as
okay.
If a table is corrupted, it is most likely that the problem is in the indexes and not in the data part. All of the preceding check types check the indexes thoroughly and should thus find most errors.
If you just want to check a table that you assume is okay, you
should use no check options or the QUICK
option. The latter should be used when you are in a hurry and
can take the very small risk that QUICK
does
not find an error in the data file. (In most cases, under normal
usage, MySQL should find any error in the data file. If this
happens, the table is marked as “corrupted” and
cannot be used until it is repaired.)
FAST
and CHANGED
are
mostly intended to be used from a script (for example, to be
executed from cron) if you want to check
tables from time to time. In most cases, FAST
is to be preferred over CHANGED
. (The only
case when it is not preferred is when you suspect that you have
found a bug in the MyISAM
code.)
EXTENDED
is to be used only after you have
run a normal check but still get strange errors from a table
when MySQL tries to update a row or find a row by key. This is
very unlikely if a normal check has succeeded.
Use of CHECK TABLE
... EXTENDED
might influence the execution plan
generated by the query optimizer.
Some problems reported by CHECK
TABLE
cannot be corrected automatically:
Found row where the auto_increment column has the
value 0
.
This means that you have a row in the table where the
AUTO_INCREMENT
index column contains the
value 0. (It is possible to create a row where the
AUTO_INCREMENT
column is 0 by explicitly
setting the column to 0 with an
UPDATE
statement.)
This is not an error in itself, but could cause trouble if
you decide to dump the table and restore it or do an
ALTER TABLE
on the table. In
this case, the AUTO_INCREMENT
column
changes value according to the rules of
AUTO_INCREMENT
columns, which could cause
problems such as a duplicate-key error.
To get rid of the warning, simply execute an
UPDATE
statement to set the
column to some value other than 0.
The following notes apply to InnoDB
tables:
If CHECK TABLE
finds a
problem for an InnoDB
table, the server
shuts down to prevent error propagation. Details of the
error will be written to the error log.
When an InnoDB
table is stored in its own
.ibd file in
file-per-table
mode, the first 3 pages of
the .ibd
contain header information
rather than table or index data. The CHECK
TABLE
statement does not detect inconsistencies
that only affect the header data. To verify the entire
contents of an InnoDB
.ibd
file, use the
innochecksum command.
CHECKSUM TABLEtbl_name
[,tbl_name
] ... [ QUICK | EXTENDED ]
CHECKSUM TABLE
reports a
checksum for the contents
of a table. You can use this statement to verify that the
contents are the same before and after a backup, rollback, or
other operation that is intended to put the data back to a known
state. This statement requires the
SELECT
privilege for the table.
By default, the entire table is read row by row and the checksum
is calculated. For large tables, this could take a long time,
thus you would only perform this operation occasionally. This
row-by-row calculation is what you get with the
EXTENDED
clause, with
InnoDB
and all other storage engines other
than MyISAM
, and with
MyISAM
tables not created with the
CHECKSUM=1
clause.
For MyISAM
tables created with the
CHECKSUM=1
clause, CHECKSUM
TABLE
or CHECKSUM TABLE ... QUICK
returns the “live” table checksum that can be
returned very fast. If the table does not meet all these
conditions, the QUICK
method returns
NULL
. See Section 13.1.14, “CREATE TABLE
Syntax” for
the syntax of the CHECKSUM
clause.
For a nonexistent table, CHECKSUM
TABLE
returns NULL
and generates a
warning.
Prior to MySQL 5.6.4, CHECKSUM
TABLE
returned 0 for partitioned tables unless the
EXTENDED
option was used. (Bug #11933226, Bug
#60681)
The checksum value depends on the table row format. If the row
format changes, the checksum also changes. For example, the
storage format for VARCHAR
changed between MySQL 4.1 and 5.0, so if a 4.1 table is upgraded
to MySQL 5.0, the checksum value may change.
If the checksums for two tables are different, then it is
almost certain that the tables are different in some way.
However, because the hashing function used by
CHECKSUM TABLE
is not
guaranteed to be collision-free, there is a slight chance that
two tables which are not identical can produce the same
checksum.
OPTIMIZE [NO_WRITE_TO_BINLOG | LOCAL] TABLEtbl_name
[,tbl_name
] ...
Reorganizes the physical storage of table data and associated index data, to reduce storage space and improve I/O efficiency when accessing the table. The exact changes made to each table depend on the storage engine used by that table.
Use OPTIMIZE TABLE
in these
cases, depending on the type of table:
After doing substantial insert, update, or delete operations
on columns that are part of a FULLTEXT
index in an InnoDB
table. Set the
configuration option
innodb_optimize_fulltext_only=1
first. To keep the index maintenance period to a reasonable
time, set the
innodb_ft_num_word_optimize
option to specify how many words to update in the search
index, and run a sequence of OPTIMIZE
TABLE
statements until the search index is fully
updated.
After deleting a large part of a MyISAM
or ARCHIVE
table, or making many changes
to a MyISAM
or ARCHIVE
table with variable-length rows (tables that have
VARCHAR
,
VARBINARY
,
BLOB
, or
TEXT
columns). Deleted rows
are maintained in a linked list and subsequent
INSERT
operations reuse old
row positions. You can use OPTIMIZE
TABLE
to reclaim the unused space and to
defragment the data file. After extensive changes to a
table, this statement may also improve performance of
statements that use the table, sometimes significantly.
This statement requires SELECT
and INSERT
privileges for the
table.
OPTIMIZE TABLE
is also supported
for partitioned tables. For information about using this
statement with partitioned tables and table partitions, see
Section 17.3.4, “Maintenance of Partitions”.
OPTIMIZE TABLE
works
only for
InnoDB
,
MyISAM
, and
ARCHIVE
tables. By default, it does
not work for tables created using any other
storage engine. You can make OPTIMIZE
TABLE
work on other storage engines by starting
mysqld with the --skip-new
option. In this case, OPTIMIZE
TABLE
is just mapped to ALTER
TABLE
.
For InnoDB
tables,
OPTIMIZE TABLE
is mapped to
ALTER TABLE
, which rebuilds the
table to update index statistics and free unused space in the
clustered index. This is displayed in the output of
OPTIMIZE TABLE
when you run it on
an InnoDB
table, as shown here:
mysql> OPTIMIZE TABLE foo; +----------+----------+----------+-------------------------------------------------------------------+ | Table | Op | Msg_type | Msg_text | +----------+----------+----------+-------------------------------------------------------------------+ | test.foo | optimize | note | Table does not support optimize, doing recreate + analyze instead | | test.foo | optimize | status | OK | +----------+----------+----------+-------------------------------------------------------------------+
InnoDB
stores data using a page-allocation
method and does not suffer from fragmentation in the same way
that legacy storage engines (such as MyISAM
)
will. When considering whether or not to run optimize, consider
the workload of transactions that your server will process:
Some level of fragmentation is expected.
InnoDB
only fills
pages 93% full, to leave
room for updates without having to split pages.
Delete operations might leave gaps that leave pages less filled than desired, which could make it worthwhile to optimize the table.
Updates to rows usually rewrite the data within the same
page, depending on the data type and row format, when
sufficient space is available. See
Section 14.2.2.7.4, “
Compressing BLOB, VARCHAR and TEXT Columns
”
and Section 14.2.2.9.1, “Overview of InnoDB
Row Storage”.
High-concurrency workloads might leave gaps in indexes
over time, as InnoDB
retains multiple
versions of the same data due through its
MVCC mechanism. See
Section 14.2.4.11, “InnoDB
Multi-Versioning”.
For MyISAM
tables,
OPTIMIZE TABLE
works as follows:
If the table has deleted or split rows, repair the table.
If the index pages are not sorted, sort them.
If the table's statistics are not up to date (and the repair could not be accomplished by sorting the index), update them.
OPTIMIZE TABLE
returns a result
set with the following columns.
Column | Value |
---|---|
Table | The table name |
Op | Always optimize |
Msg_type | status , error ,
info , note , or
warning |
Msg_text | An informational message |
Note that MySQL locks the table during the time
OPTIMIZE TABLE
is running.
By default, the server writes OPTIMIZE
TABLE
statements to the binary log so that they
replicate to replication slaves. To suppress logging, specify
the optional NO_WRITE_TO_BINLOG
clause or its
alias LOCAL
.
OPTIMIZE TABLE
does not sort
R-tree indexes, such as spatial indexes on
POINT
columns. (Bug #23578)
OPTIMIZE TABLE
table catches and
throws any errors that occur while copying table statistics from
the old file to the newly created file. For example. if the user
ID of the owner of the .frm
,
.MYD
, or .MYI
file is
different from the user ID of the mysqld
process, OPTIMIZE TABLE
generates
a "cannot change ownership of the file" error unless
mysqld is started by the
root
user.
REPAIR [NO_WRITE_TO_BINLOG | LOCAL] TABLEtbl_name
[,tbl_name
] ... [QUICK] [EXTENDED] [USE_FRM]
REPAIR TABLE
repairs a possibly
corrupted table, for certain storage engines only. By default,
it has the same effect as myisamchk --recover
tbl_name
.
REPAIR TABLE
only applies to
MyISAM
, ARCHIVE
, and
CSV
tables. See
Section 14.3, “The MyISAM
Storage Engine”, and
Section 14.6, “The ARCHIVE
Storage Engine”, and
Section 14.5, “The CSV
Storage Engine”
This statement requires SELECT
and INSERT
privileges for the
table.
REPAIR TABLE
is supported for
partitioned tables. However, the USE_FRM
option cannot be used with this statement on a partitioned
table.
You can use ALTER TABLE ... REPAIR PARTITION
to repair one or more partitions; for more information, see
Section 13.1.6, “ALTER TABLE
Syntax”, and
Section 17.3.4, “Maintenance of Partitions”.
Although normally you should never have to run
REPAIR TABLE
, if disaster
strikes, this statement is very likely to get back all your data
from a MyISAM
table. If your tables become
corrupted often, try to find the reason for it, to eliminate the
need to use REPAIR TABLE
. See
Section C.5.4.2, “What to Do If MySQL Keeps Crashing”, and
Section 14.3.4, “MyISAM
Table Problems”.
Make a backup of a table before performing a table repair operation; under some circumstances the operation might cause data loss. Possible causes include but are not limited to file system errors. See Chapter 7, Backup and Recovery.
If the server crashes during a REPAIR
TABLE
operation, it is essential after restarting it
that you immediately execute another
REPAIR TABLE
statement for the
table before performing any other operations on it. In the
worst case, you might have a new clean index file without
information about the data file, and then the next operation
you perform could overwrite the data file. This is an unlikely
but possible scenario that underscores the value of making a
backup first.
REPAIR TABLE
returns a result set
with the following columns.
Column | Value |
---|---|
Table | The table name |
Op | Always repair |
Msg_type | status , error ,
info , note , or
warning |
Msg_text | An informational message |
The REPAIR TABLE
statement might
produce many rows of information for each repaired table. The
last row has a Msg_type
value of
status
and Msg_test
normally should be OK
. If you do not get
OK
for a MyISAM
table, you
should try repairing it with myisamchk
--safe-recover. (REPAIR
TABLE
does not implement all the options of
myisamchk.) With myisamchk
--safe-recover, you can also use options that
REPAIR TABLE
does not support,
such as --max-record-length
.
If you use the QUICK
option,
REPAIR TABLE
tries to repair only
the index file, and not the data file. This type of repair is
like that done by myisamchk --recover
--quick.
If you use the EXTENDED
option, MySQL creates
the index row by row instead of creating one index at a time
with sorting. This type of repair is like that done by
myisamchk --safe-recover.
The USE_FRM
option is available for use if
the .MYI
index file is missing or if its
header is corrupted. This option tells MySQL not to trust the
information in the .MYI
file header and to
re-create it using information from the
.frm
file. This kind of repair cannot be
done with myisamchk.
Use the USE_FRM
option
only if you cannot use regular
REPAIR
modes! Telling the server to ignore
the .MYI
file makes important table
metadata stored in the .MYI
unavailable
to the repair process, which can have deleterious
consequences:
The current AUTO_INCREMENT
value is
lost.
The link to deleted records in the table is lost, which means that free space for deleted records will remain unoccupied thereafter.
The .MYI
header indicates whether the
table is compressed. If the server ignores this
information, it cannot tell that a table is compressed and
repair can cause change or loss of table contents. This
means that USE_FRM
should not be used
with compressed tables. That should not be necessary,
anyway: Compressed tables are read only, so they should
not become corrupt.
If you use USE_FRM
for a table that was
created by a different version of the MySQL server than the
one you are currently running, REPAIR
TABLE
will not attempt to repair the table. In this
case, the result set returned by REPAIR
TABLE
contains a line with a
Msg_type
value of error
and a Msg_text
value of Failed
repairing incompatible .FRM file
.
If USE_FRM
is not used,
REPAIR TABLE
checks the table to
see whether an upgrade is required. If so, it performs the
upgrade, following the same rules as
CHECK TABLE ... FOR
UPGRADE
. See Section 13.7.2.2, “CHECK TABLE
Syntax”, for more
information. REPAIR TABLE
without
USE_FRM
upgrades the
.frm
file to the current version.
By default, the server writes REPAIR
TABLE
statements to the binary log so that they
replicate to replication slaves. To suppress logging, use the
optional NO_WRITE_TO_BINLOG
keyword or its
alias LOCAL
.
In the event that a table on the master becomes corrupted and
you run REPAIR TABLE
on it, any
resulting changes to the original table are
not propagated to slaves.
You may be able to increase REPAIR
TABLE
performance by setting certain system variables.
See Section 8.6.3, “Speed of REPAIR TABLE
Statements”.
REPAIR TABLE
table catches and
throws any errors that occur while copying table statistics from
the old corrupted file to the newly created file. For example.
if the user ID of the owner of the .frm
,
.MYD
, or .MYI
file is
different from the user ID of the mysqld
process, REPAIR TABLE
generates a
"cannot change ownership of the file" error unless
mysqld is started by the
root
user.
CREATE [AGGREGATE] FUNCTIONfunction_name
RETURNS {STRING|INTEGER|REAL|DECIMAL} SONAMEshared_library_name
A user-defined function (UDF) is a way to extend MySQL with a
new function that works like a native (built-in) MySQL function
such as ABS()
or
CONCAT()
.
function_name
is the name that should
be used in SQL statements to invoke the function. The
RETURNS
clause indicates the type of the
function's return value. DECIMAL
is a legal value after RETURNS
, but currently
DECIMAL
functions return string
values and should be written like STRING
functions.
shared_library_name
is the basename
of the shared object file that contains the code that implements
the function. The file must be located in the plugin directory.
This directory is given by the value of the
plugin_dir
system variable. For
more information, see Section 22.3.2.5, “Compiling and Installing User-Defined Functions”.
To create a function, you must have the
INSERT
privilege for the
mysql
database. This is necessary because
CREATE FUNCTION
adds a row to the
mysql.func
system table that records the
function's name, type, and shared library name. If you do not
have this table, you should run the
mysql_upgrade command to create it. See
Section 4.4.7, “mysql_upgrade — Check and Upgrade MySQL Tables”.
An active function is one that has been loaded with
CREATE FUNCTION
and not removed
with DROP FUNCTION
. All active
functions are reloaded each time the server starts, unless you
start mysqld with the
--skip-grant-tables
option. In
this case, UDF initialization is skipped and UDFs are
unavailable.
For instructions on writing user-defined functions, see Section 22.3.2, “Adding a New User-Defined Function”. For the UDF mechanism to work, functions must be written in C or C++ (or another language that can use C calling conventions), your operating system must support dynamic loading and you must have compiled mysqld dynamically (not statically).
An AGGREGATE
function works exactly like a
native MySQL aggregate (summary) function such as
SUM
or
COUNT()
. For
AGGREGATE
to work, your
mysql.func
table must contain a
type
column. If your
mysql.func
table does not have this column,
you should run the mysql_upgrade program to
create it (see Section 4.4.7, “mysql_upgrade — Check and Upgrade MySQL Tables”).
To upgrade the shared library associated with a UDF, issue a
DROP FUNCTION
statement,
upgrade the shared library, and then issue a
CREATE FUNCTION
statement. If
you upgrade the shared library first and then use
DROP FUNCTION
, the server may
crash.
DROP FUNCTION function_name
This statement drops the user-defined function (UDF) named
function_name
.
To drop a function, you must have the
DELETE
privilege for the
mysql
database. This is because
DROP FUNCTION
removes a row from
the mysql.func
system table that records the
function's name, type, and shared library name.
To upgrade the shared library associated with a UDF, issue a
DROP FUNCTION
statement,
upgrade the shared library, and then issue a
CREATE FUNCTION
statement. If
you upgrade the shared library first and then use
DROP FUNCTION
, the server may
crash.
DROP FUNCTION
is also used to
drop stored functions (see Section 13.1.21, “DROP PROCEDURE
and
DROP FUNCTION
Syntax”).
INSTALL PLUGINplugin_name
SONAME 'shared_library_name
'
This statement installs a server plugin. It requires the
INSERT privilege
for the
mysql.plugin
table.
plugin_name
is the name of the plugin
as defined in the plugin descriptor structure contained in the
library file (see Section 22.2.4.2, “Plugin Data Structures”).
Plugin names are not case sensitive. For maximal compatibility,
plugin names should be limited to ASCII letters, digits, and
underscore because they are used in C source files, shell
command lines, M4 and Bourne shell scripts, and SQL
environments.
shared_library_name
is the name of
the shared library that contains the plugin code. The name
includes the file name extension (for example,
libmyplugin.so
,
libmyplugin.dll
, or
libmyplugin.dylib
).
The shared library must be located in the plugin directory (the
directory named by the
plugin_dir
system variable).
The library must be in the plugin directory itself, not in a
subdirectory. By default,
plugin_dir
is the
plugin
directory under the directory named
by the pkglibdir
configuration variable, but
it can be changed by setting the value of
plugin_dir
at server startup.
For example, set its value in a my.cnf
file:
[mysqld]
plugin_dir=/path/to/plugin/directory
If the value of plugin_dir
is a
relative path name, it is taken to be relative to the MySQL base
directory (the value of the
basedir
system variable).
INSTALL PLUGIN
loads and
initializes the plugin code to make the plugin available for
use. A plugin is initialized by executing its initialization
function, which handles any setup that the plugin must perform
before it can be used. When the server shuts down, it executes
the deinitialization function for each plugin that is loaded so
that the plugin has a change to perform any final cleanup.
INSTALL PLUGIN
also registers the
plugin by adding a line that indicates the plugin name and
library file name to the mysql.plugin
table.
At server startup, the server loads and initializes any plugin
that is listed in the mysql.plugin
table.
This means that a plugin is installed with
INSTALL PLUGIN
only once, not
every time the server starts. Plugin loading at startup does not
occur if the server is started with the
--skip-grant-tables
option.
A plugin library can contain multiple plugins. For each of them
to be installed, use a separate INSTALL
PLUGIN
statement. Each statement names a different
plugin, but all of them specify the same library name.
INSTALL PLUGIN
causes the server
to read option (my.cnf
) files just as
during server startup. This enables the plugin to pick up any
relevant options from those files. It is possible to add plugin
options to an option file even before loading a plugin (if the
loose
prefix is used). It is also possible to
uninstall a plugin, edit my.cnf
, and
install the plugin again. Restarting the plugin this way enables
it to the new option values without a server restart.
For options that control individual plugin loading at server
startup, see Section 5.1.8.1, “Installing and Uninstalling Plugins”. If you
need to load plugins for a single server startup when the
--skip-grant-tables
option is
given (which tells the server not to read system tables), use
the --plugin-load
option. See
Section 5.1.3, “Server Command Options”.
To remove a plugin, use the UNINSTALL
PLUGIN
statement.
For additional information about plugin loading, see Section 5.1.8.1, “Installing and Uninstalling Plugins”.
To see what plugins are installed, use the
SHOW PLUGINS
statement or query
the INFORMATION_SCHEMA.PLUGINS
table.
If you recompile a plugin library and need to reinstall it, you can use either of the following methods:
Use UNINSTALL PLUGIN
to
uninstall all plugins in the library, install the new plugin
library file in the plugin directory, and then use
INSTALL PLUGIN
to install all
plugins in the library. This procedure has the advantage
that it can be used without stopping the server. However, if
the plugin library contains many plugins, you must issue
many INSTALL PLUGIN
and
UNINSTALL PLUGIN
statements.
Stop the server, install the new plugin library file in the plugin directory, and restart the server.
UNINSTALL PLUGIN plugin_name
This statement removes an installed server plugin. It requires
the DELETE
privilege for the
mysql.plugin
table.
plugin_name
must be the name of some
plugin that is listed in the mysql.plugin
table. The server executes the plugin's deinitialization
function and removes the row for the plugin from the
mysql.plugin
table, so that subsequent server
restarts will not load and initialize the plugin.
UNINSTALL PLUGIN
does not remove
the plugin's shared library file.
You cannot uninstall a plugin if any table that uses it is open.
Plugin removal has implications for the use of associated
tables. For example, if a full-text parser plugin is associated
with a FULLTEXT
index on the table,
uninstalling the plugin makes the table unusable. Any attempt to
access the table results in an error. The table cannot even be
opened, so you cannot drop an index for which the plugin is
used. This means that uninstalling a plugin is something to do
with care unless you do not care about the table contents. If
you are uninstalling a plugin with no intention of reinstalling
it later and you care about the table contents, you should dump
the table with mysqldump and remove the
WITH PARSER
clause from the dumped
CREATE TABLE
statement so that
you can reload the table later. If you do not care about the
table, DROP TABLE
can be used
even if any plugins associated with the table are missing.
For additional information about plugin loading, see Section 5.1.8.1, “Installing and Uninstalling Plugins”.
SETvariable_assignment
[,variable_assignment
] ...variable_assignment
:user_var_name
=expr
| [GLOBAL | SESSION]system_var_name
=expr
| [@@global. | @@session. | @@]system_var_name
=expr
The SET
statement assigns values to different types of variables that
affect the operation of the server or your client.
This section describes use of
SET
for
assigning values to variables. The
SET
statement can be used to assign values to these types of
variables:
System variables. See Section 5.1.4, “Server System Variables”. System variables also can be set at server startup, as described in Section 5.1.5, “Using System Variables”.
User-defined variables. See Section 9.4, “User-Defined Variables”.
Stored procedure and function parameters, and stored program local variables. See Section 13.6.4, “Variables in Stored Programs”.
Some variants of
SET
syntax are used in other contexts:
SET CHARACTER SET
and SET
NAMES
assign values to character set and collation
variables associated with the connection to the server.
SET ONE_SHOT
is used for replication. These
variants are described later in this section.
SET PASSWORD
assigns account
passwords. See Section 13.7.1.7, “SET PASSWORD
Syntax”.
SET
TRANSACTION ISOLATION LEVEL
sets the isolation level
for transaction processing. See
Section 13.3.6, “SET TRANSACTION
Syntax”.
The following discussion shows the different
SET
syntaxes that you can use to set variables. The examples use the
=
assignment
operator, but you can also use the
:=
assignment operator for this purpose.
A user variable is written as
@
and can be
set as follows:
var_name
SET @var_name
=expr
;
Many system variables are dynamic and can be changed while the
server runs by using the
SET
statement. For a list, see
Section 5.1.5.2, “Dynamic System Variables”. To change a system
variable with
SET
,
refer to it as var_name
, optionally
preceded by a modifier:
To indicate explicitly that a variable is a global variable,
precede its name by GLOBAL
or
@@global.
. The
SUPER
privilege is required to
set global variables.
To indicate explicitly that a variable is a session variable,
precede its name by SESSION
,
@@session.
, or @@
.
Setting a session variable requires no special privilege, but
a client can change only its own session variables, not those
of any other client.
LOCAL
and @@local.
are
synonyms for SESSION
and
@@session.
.
If no modifier is present,
SET
changes the session variable.
A SET
statement can contain multiple variable assignments, separated by
commas. For example, the statement can assign values to a
user-defined variable and a system variable. If you set several
system variables, the most recent GLOBAL
or
SESSION
modifier in the statement is used for
following variables that have no modifier specified.
Examples:
SET sort_buffer_size=10000; SET @@local.sort_buffer_size=10000; SET GLOBAL sort_buffer_size=1000000, SESSION sort_buffer_size=1000000; SET @@sort_buffer_size=1000000; SET @@global.sort_buffer_size=1000000, @@local.sort_buffer_size=1000000;
The @@
syntax for system variables is supported for compatibility with
some other database systems.
var_name
If you change a session system variable, the value remains in effect until your session ends or until you change the variable to a different value. The change is not visible to other clients.
If you change a global system variable, the value is remembered
and used for new connections until the server restarts. (To make a
global system variable setting permanent, you should set it in an
option file.) The change is visible to any client that accesses
that global variable. However, the change affects the
corresponding session variable only for clients that connect after
the change. The global variable change does not affect the session
variable for any client that is currently connected (not even that
of the client that issues the
SET
GLOBAL
statement).
To prevent incorrect usage, MySQL produces an error if you use
SET
GLOBAL
with a variable that can only be used with
SET
SESSION
or if you do not specify
GLOBAL
(or @@global.
) when
setting a global variable.
To set a SESSION
variable to the
GLOBAL
value or a GLOBAL
value to the compiled-in MySQL default value, use the
DEFAULT
keyword. For example, the following two
statements are identical in setting the session value of
max_join_size
to the global
value:
SET max_join_size=DEFAULT; SET @@session.max_join_size=@@global.max_join_size;
Not all system variables can be set to DEFAULT
.
In such cases, use of DEFAULT
results in an
error.
It is not permitted to assign the value DEFAULT
to user-defined variables, stored procedure or function
parameters, or stored program local variables. This results in a
syntax error for user-defined variables, and also for parameters
or local variables as of MySQL 5.6.6.
You can refer to the values of specific global or session system
variables in expressions by using one of the
@@
-modifiers. For example, you can retrieve
values in a SELECT
statement like
this:
SELECT @@global.sql_mode, @@session.sql_mode, @@sql_mode;
When you refer to a system variable in an expression as
@@
(that is,
when you do not specify var_name
@@global.
or
@@session.
), MySQL returns the session value if
it exists and the global value otherwise. (This differs from
SET @@
, which always refers to
the session value.)
var_name
=
value
Some variables displayed by SHOW VARIABLES
may not be available using SELECT
@@
syntax; an
var_name
Unknown system variable
occurs. As a
workaround in such cases, you can use SHOW VARIABLES
LIKE '
.
var_name
'
Suffixes for specifying a value multiplier can be used when
setting a variable at server startup, but not to set the value
with SET
at runtime. On the other hand, with
SET
you
can assign a variable's value using an expression, which is not
true when you set a variable at server startup. For example, the
first of the following lines is legal at server startup, but the
second is not:
shell>mysql --max_allowed_packet=16M
shell>mysql --max_allowed_packet=16*1024*1024
Conversely, the second of the following lines is legal at runtime, but the first is not:
mysql>SET GLOBAL max_allowed_packet=16M;
mysql>SET GLOBAL max_allowed_packet=16*1024*1024;
To display system variables names and values, use the
SHOW VARIABLES
statement. (See
Section 13.7.5.40, “SHOW VARIABLES
Syntax”.)
The following list describes
SET
options that have nonstandard syntax (that is, options that are
not set with
syntax).
name
=
value
CHARACTER SET
{
charset_name
| DEFAULT}
This maps all strings from and to the client with the given
mapping. You can add new mappings by editing
sql/convert.cc
in the MySQL source
distribution. SET CHARACTER SET
sets three
session system variables:
character_set_client
and
character_set_results
are set
to the given character set, and
character_set_connection
to
the value of
character_set_database
. See
Section 10.1.4, “Connection Character Sets and Collations”.
The default mapping can be restored by using the value
DEFAULT
. The default depends on the server
configuration.
ucs2
, utf16
, and
utf32
cannot be used as a client character
set, which means that they do not work for SET
CHARACTER SET
.
NAMES {'
charset_name
'
[COLLATE 'collation_name
'] |
DEFAULT}
SET NAMES
sets the three session system
variables
character_set_client
,
character_set_connection
, and
character_set_results
to the
given character set. Setting
character_set_connection
to
charset_name
also sets
collation_connection
to the
default collation for charset_name
. The
optional COLLATE
clause may be used to
specify a collation explicitly. See
Section 10.1.4, “Connection Character Sets and Collations”.
The default mapping can be restored by using a value of
DEFAULT
. The default depends on the server
configuration.
ucs2
, utf16
, and
utf32
cannot be used as a client character
set, which means that they do not work for SET
NAMES
.
ONE_SHOT
is for internal use only, has been
deprecated since MySQL 5.0, and was removed in MySQL 5.6.1.
SHOW AUTHORS
SyntaxSHOW BINARY LOGS
SyntaxSHOW BINLOG EVENTS
SyntaxSHOW CHARACTER SET
SyntaxSHOW COLLATION
SyntaxSHOW COLUMNS
SyntaxSHOW CONTRIBUTORS
SyntaxSHOW CREATE DATABASE
SyntaxSHOW CREATE EVENT
SyntaxSHOW CREATE FUNCTION
SyntaxSHOW CREATE PROCEDURE
SyntaxSHOW CREATE TABLE
SyntaxSHOW CREATE TRIGGER
SyntaxSHOW CREATE VIEW
SyntaxSHOW DATABASES
SyntaxSHOW ENGINE
SyntaxSHOW ENGINES
SyntaxSHOW ERRORS
SyntaxSHOW EVENTS
SyntaxSHOW FUNCTION CODE
SyntaxSHOW FUNCTION STATUS
SyntaxSHOW GRANTS
SyntaxSHOW INDEX
SyntaxSHOW MASTER STATUS
SyntaxSHOW OPEN TABLES
SyntaxSHOW PLUGINS
SyntaxSHOW PRIVILEGES
SyntaxSHOW PROCEDURE CODE
SyntaxSHOW PROCEDURE STATUS
SyntaxSHOW PROCESSLIST
SyntaxSHOW PROFILE
SyntaxSHOW PROFILES
SyntaxSHOW RELAYLOG EVENTS
SyntaxSHOW SLAVE HOSTS
SyntaxSHOW SLAVE STATUS
SyntaxSHOW STATUS
SyntaxSHOW TABLE STATUS
SyntaxSHOW TABLES
SyntaxSHOW TRIGGERS
SyntaxSHOW VARIABLES
SyntaxSHOW WARNINGS
Syntax
SHOW
has many forms that provide
information about databases, tables, columns, or status
information about the server. This section describes those
following:
SHOW AUTHORS SHOW {BINARY | MASTER} LOGS SHOW BINLOG EVENTS [IN 'log_name
'] [FROMpos
] [LIMIT [offset
,]row_count
] SHOW CHARACTER SET [like_or_where
] SHOW COLLATION [like_or_where
] SHOW [FULL] COLUMNS FROMtbl_name
[FROMdb_name
] [like_or_where
] SHOW CONTRIBUTORS SHOW CREATE DATABASEdb_name
SHOW CREATE EVENTevent_name
SHOW CREATE FUNCTIONfunc_name
SHOW CREATE PROCEDUREproc_name
SHOW CREATE TABLEtbl_name
SHOW CREATE TRIGGERtrigger_name
SHOW CREATE VIEWview_name
SHOW DATABASES [like_or_where
] SHOW ENGINEengine_name
{STATUS | MUTEX} SHOW [STORAGE] ENGINES SHOW ERRORS [LIMIT [offset
,]row_count
] SHOW EVENTS SHOW FUNCTION CODEfunc_name
SHOW FUNCTION STATUS [like_or_where
] SHOW GRANTS FORuser
SHOW INDEX FROMtbl_name
[FROMdb_name
] SHOW MASTER STATUS SHOW OPEN TABLES [FROMdb_name
] [like_or_where
] SHOW PLUGINS SHOW PROCEDURE CODEproc_name
SHOW PROCEDURE STATUS [like_or_where
] SHOW PRIVILEGES SHOW [FULL] PROCESSLIST SHOW PROFILE [types
] [FOR QUERYn
] [OFFSETn
] [LIMITn
] SHOW PROFILES SHOW SLAVE HOSTS SHOW SLAVE STATUS SHOW [GLOBAL | SESSION] STATUS [like_or_where
] SHOW TABLE STATUS [FROMdb_name
] [like_or_where
] SHOW [FULL] TABLES [FROMdb_name
] [like_or_where
] SHOW TRIGGERS [FROMdb_name
] [like_or_where
] SHOW [GLOBAL | SESSION] VARIABLES [like_or_where
] SHOW WARNINGS [LIMIT [offset
,]row_count
]like_or_where
: LIKE 'pattern
' | WHEREexpr
If the syntax for a given SHOW
statement includes a LIKE
'
part,
pattern
''
is a
string that can contain the SQL
“pattern
'%
” and
“_
” wildcard characters. The
pattern is useful for restricting statement output to matching
values.
Several SHOW
statements also accept
a WHERE
clause that provides more flexibility
in specifying which rows to display. See
Section 19.31, “Extensions to SHOW
Statements”.
Many MySQL APIs (such as PHP) enable you to treat the result
returned from a SHOW
statement as
you would a result set from a
SELECT
; see
Chapter 21, Connectors and APIs, or your API documentation for
more information. In addition, you can work in SQL with results
from queries on tables in the
INFORMATION_SCHEMA
database, which you cannot
easily do with results from SHOW
statements. See Chapter 19, INFORMATION_SCHEMA
Tables.
SHOW AUTHORS
The SHOW AUTHORS
statement
displays information about the people who work on MySQL. For
each author, it displays Name
,
Location
, and Comment
values.
This statement is removed as of MySQL 5.6.8.
SHOW BINARY LOGS SHOW MASTER LOGS
Lists the binary log files on the server. This statement is used
as part of the procedure described in
Section 13.4.1.1, “PURGE BINARY LOGS
Syntax”, that shows how to determine
which logs can be purged.
mysql> SHOW BINARY LOGS;
+---------------+-----------+
| Log_name | File_size |
+---------------+-----------+
| binlog.000015 | 724935 |
| binlog.000016 | 733481 |
+---------------+-----------+
SHOW MASTER
LOGS
is equivalent to SHOW BINARY
LOGS
.
In MySQL 5.6.5 and earlier, the
SUPER
privilege was required to
use this statement. Starting with MySQL 5.6.6, a user with the
REPLICATION CLIENT
privilege may
also execute this statement.
SHOW BINLOG EVENTS [IN 'log_name
'] [FROMpos
] [LIMIT [offset
,]row_count
]
Shows the events in the binary log. If you do not specify
'
, the
first binary log is displayed.
log_name
'
The LIMIT
clause has the same syntax as for
the SELECT
statement. See
Section 13.2.9, “SELECT
Syntax”.
Issuing a SHOW BINLOG EVENTS
with no LIMIT
clause could start a very
time- and resource-consuming process because the server
returns to the client the complete contents of the binary log
(which includes all statements executed by the server that
modify data). As an alternative to SHOW
BINLOG EVENTS
, use the
mysqlbinlog utility to save the binary log
to a text file for later examination and analysis. See
Section 4.6.8, “mysqlbinlog — Utility for Processing Binary Log Files”.
Some events relating to the setting of user and system
variables are not included in the output from
SHOW BINLOG EVENTS
. To get
complete coverage of events within a binary log, use
mysqlbinlog.
SHOW BINLOG EVENTS
does
not work with relay log files. You can
use SHOW RELAYLOG EVENTS
for
this purpose.
SHOW CHARACTER SET [LIKE 'pattern
' | WHEREexpr
]
The SHOW CHARACTER SET
statement
shows all available character sets. The
LIKE
clause, if present, indicates
which character set names to match. The WHERE
clause can be given to select rows using more general
conditions, as discussed in Section 19.31, “Extensions to SHOW
Statements”. For
example:
mysql> SHOW CHARACTER SET LIKE 'latin%';
+---------+-----------------------------+-------------------+--------+
| Charset | Description | Default collation | Maxlen |
+---------+-----------------------------+-------------------+--------+
| latin1 | cp1252 West European | latin1_swedish_ci | 1 |
| latin2 | ISO 8859-2 Central European | latin2_general_ci | 1 |
| latin5 | ISO 8859-9 Turkish | latin5_turkish_ci | 1 |
| latin7 | ISO 8859-13 Baltic | latin7_general_ci | 1 |
+---------+-----------------------------+-------------------+--------+
The Maxlen
column shows the maximum number of
bytes required to store one character.
SHOW COLLATION [LIKE 'pattern
' | WHEREexpr
]
This statement lists collations supported by the server. By
default, the output from SHOW
COLLATION
includes all available collations. The
LIKE
clause, if present, indicates
which collation names to match. The WHERE
clause can be given to select rows using more general
conditions, as discussed in Section 19.31, “Extensions to SHOW
Statements”. For
example:
mysql> SHOW COLLATION LIKE 'latin1%';
+-------------------+---------+----+---------+----------+---------+
| Collation | Charset | Id | Default | Compiled | Sortlen |
+-------------------+---------+----+---------+----------+---------+
| latin1_german1_ci | latin1 | 5 | | | 0 |
| latin1_swedish_ci | latin1 | 8 | Yes | Yes | 0 |
| latin1_danish_ci | latin1 | 15 | | | 0 |
| latin1_german2_ci | latin1 | 31 | | Yes | 2 |
| latin1_bin | latin1 | 47 | | Yes | 0 |
| latin1_general_ci | latin1 | 48 | | | 0 |
| latin1_general_cs | latin1 | 49 | | | 0 |
| latin1_spanish_ci | latin1 | 94 | | | 0 |
+-------------------+---------+----+---------+----------+---------+
The Collation
and Charset
columns indicate the names of the collation and the character
set with which it is associated. Id
is the
collation ID. Default
indicates whether the
collation is the default for its character set.
Compiled
indicates whether the character set
is compiled into the server. Sortlen
is
related to the amount of memory required to sort strings
expressed in the character set.
To see the default collation for each character set, use the
following statement. Default
is a reserved
word, so to use it as an identifier, it must be quoted as such:
mysql> SHOW COLLATION WHERE `Default` = 'Yes';
+---------------------+----------+----+---------+----------+---------+
| Collation | Charset | Id | Default | Compiled | Sortlen |
+---------------------+----------+----+---------+----------+---------+
| big5_chinese_ci | big5 | 1 | Yes | Yes | 1 |
| dec8_swedish_ci | dec8 | 3 | Yes | Yes | 1 |
| cp850_general_ci | cp850 | 4 | Yes | Yes | 1 |
| hp8_english_ci | hp8 | 6 | Yes | Yes | 1 |
| koi8r_general_ci | koi8r | 7 | Yes | Yes | 1 |
| latin1_swedish_ci | latin1 | 8 | Yes | Yes | 1 |
...
SHOW [FULL] COLUMNS {FROM | IN}tbl_name
[{FROM | IN}db_name
] [LIKE 'pattern
' | WHEREexpr
]
SHOW COLUMNS
displays information
about the columns in a given table. It also works for views. The
LIKE
clause, if present, indicates
which column names to match. The WHERE
clause
can be given to select rows using more general conditions, as
discussed in Section 19.31, “Extensions to SHOW
Statements”.
SHOW COLUMNS
displays information
only for those columns for which you have some privilege.
mysql> SHOW COLUMNS FROM City;
+------------+----------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------+----------+------+-----+---------+----------------+
| Id | int(11) | NO | PRI | NULL | auto_increment |
| Name | char(35) | NO | | | |
| Country | char(3) | NO | UNI | | |
| District | char(20) | YES | MUL | | |
| Population | int(11) | NO | | 0 | |
+------------+----------+------+-----+---------+----------------+
5 rows in set (0.00 sec)
If the data types differ from what you expect them to be based
on a CREATE TABLE
statement, note
that MySQL sometimes changes data types when you create or alter
a table. The conditions under which this occurs are described in
Section 13.1.14.2, “Silent Column Specification Changes”.
The FULL
keyword causes the output to include
the column collation and comments, as well as the privileges you
have for each column.
You can use db_name.tbl_name
as an
alternative to the
syntax. In
other words, these two statements are equivalent:
tbl_name
FROM db_name
mysql>SHOW COLUMNS FROM mytable FROM mydb;
mysql>SHOW COLUMNS FROM mydb.mytable;
SHOW COLUMNS
displays the
following values for each table column:
Field
indicates the column name.
Type
indicates the column data type.
Collation
indicates the collation for
nonbinary string columns, or NULL
for other
columns. This value is displayed only if you use the
FULL
keyword.
The Null
field contains
YES
if NULL
values can be
stored in the column, NO
if not.
The Key
field indicates whether the column is
indexed:
If Key
is empty, the column either is not
indexed or is indexed only as a secondary column in a
multiple-column, nonunique index.
If Key
is PRI
, the
column is a PRIMARY KEY
or is one of the
columns in a multiple-column PRIMARY KEY
.
If Key
is UNI
, the
column is the first column of a UNIQUE
index. (A UNIQUE
index permits multiple
NULL
values, but you can tell whether the
column permits NULL
by checking the
Null
field.)
If Key
is MUL
, the
column is the first column of a nonunique index in which
multiple occurrences of a given value are permitted within
the column.
If more than one of the Key
values applies to
a given column of a table, Key
displays the
one with the highest priority, in the order
PRI
, UNI
,
MUL
.
A UNIQUE
index may be displayed as
PRI
if it cannot contain
NULL
values and there is no PRIMARY
KEY
in the table. A UNIQUE
index
may display as MUL
if several columns form a
composite UNIQUE
index; although the
combination of the columns is unique, each column can still hold
multiple occurrences of a given value.
The Default
field indicates the default value
that is assigned to the column. This is NULL
if the column has an explicit default of
NULL
, or if the column definition has no
DEFAULT
clause.
The Extra
field contains any additional
information that is available about a given column. The value is
nonempty in these cases: auto_increment
for
columns that have the AUTO_INCREMENT
attribute; on update CURRENT_TIMESTAMP
for
TIMESTAMP
or
DATETIME
columns that have the
ON UPDATE CURRENT_TIMESTAMP
attribute.
Privileges
indicates the privileges you have
for the column. This value is displayed only if you use the
FULL
keyword.
Comment
indicates any comment the column has.
This value is displayed only if you use the
FULL
keyword.
SHOW FIELDS
is a synonym for
SHOW COLUMNS
. You can also list a
table's columns with the mysqlshow
db_name
tbl_name
command.
The DESCRIBE
statement provides
information similar to SHOW
COLUMNS
. See Section 13.8.1, “DESCRIBE
Syntax”.
The SHOW CREATE TABLE
,
SHOW TABLE STATUS
, and
SHOW INDEX
statements also
provide information about tables. See Section 13.7.5, “SHOW
Syntax”.
SHOW CONTRIBUTORS
The SHOW CONTRIBUTORS
statement
displays information about the people who contribute to MySQL
source or to causes that we support. For each contributor, it
displays Name
, Location
,
and Comment
values.
This statement is removed as of MySQL 5.6.8.
SHOW CREATE {DATABASE | SCHEMA} [IF NOT EXISTS] db_name
Shows the CREATE DATABASE
statement that creates the given database. If the
SHOW
statement includes an IF NOT
EXISTS
clause, the output too includes such a clause.
SHOW
CREATE SCHEMA
is a synonym for
SHOW CREATE DATABASE
.
mysql>SHOW CREATE DATABASE test\G
*************************** 1. row *************************** Database: test Create Database: CREATE DATABASE `test` /*!40100 DEFAULT CHARACTER SET latin1 */ mysql>SHOW CREATE SCHEMA test\G
*************************** 1. row *************************** Database: test Create Database: CREATE DATABASE `test` /*!40100 DEFAULT CHARACTER SET latin1 */
SHOW CREATE DATABASE
quotes table
and column names according to the value of the
sql_quote_show_create
option.
See Section 5.1.4, “Server System Variables”.
SHOW CREATE EVENT event_name
This statement displays the CREATE
EVENT
statement needed to re-create a given event. It
requires the EVENT
privilege for
the database from which the event is to be shown. For example
(using the same event e_daily
defined and
then altered in Section 13.7.5.19, “SHOW EVENTS
Syntax”):
mysql> SHOW CREATE EVENT test.e_daily\G *************************** 1. row *************************** Event: e_daily sql_mode: time_zone: SYSTEM Create Event: CREATE EVENT `e_daily` ON SCHEDULE EVERY 1 DAY STARTS CURRENT_TIMESTAMP + INTERVAL 6 HOUR ON COMPLETION NOT PRESERVE ENABLE COMMENT 'Saves total number of sessions then clears the table each day' DO BEGIN INSERT INTO site_activity.totals (time, total) SELECT CURRENT_TIMESTAMP, COUNT(*) FROM site_activity.sessions; DELETE FROM site_activity.sessions; END character_set_client: latin1 collation_connection: latin1_swedish_ci Database Collation: latin1_swedish_ci
character_set_client
is the
session value of the
character_set_client
system
variable when the event was created.
collation_connection
is the
session value of the
collation_connection
system
variable when the event was created. Database
Collation
is the collation of the database with which
the event is associated.
Note that the output reflects the current status of the event
(ENABLE
) rather than the status with which it
was created.
SHOW CREATE FUNCTION func_name
This statement is similar to SHOW CREATE
PROCEDURE
but for stored functions. See
Section 13.7.5.11, “SHOW CREATE PROCEDURE
Syntax”.
SHOW CREATE PROCEDURE proc_name
This statement is a MySQL extension. It returns the exact string
that can be used to re-create the named stored procedure. A
similar statement, SHOW CREATE
FUNCTION
, displays information about stored functions
(see Section 13.7.5.10, “SHOW CREATE FUNCTION
Syntax”).
Both statements require that you be the owner of the routine or
have SELECT
access to the
mysql.proc
table. If you do not have
privileges for the routine itself, the value displayed for the
Create Procedure
or Create
Function
field will be NULL
.
mysql>SHOW CREATE PROCEDURE test.simpleproc\G
*************************** 1. row *************************** Procedure: simpleproc sql_mode: Create Procedure: CREATE PROCEDURE `simpleproc`(OUT param1 INT) BEGIN SELECT COUNT(*) INTO param1 FROM t; END character_set_client: latin1 collation_connection: latin1_swedish_ci Database Collation: latin1_swedish_ci mysql>SHOW CREATE FUNCTION test.hello\G
*************************** 1. row *************************** Function: hello sql_mode: Create Function: CREATE FUNCTION `hello`(s CHAR(20)) RETURNS CHAR(50) RETURN CONCAT('Hello, ',s,'!') character_set_client: latin1 collation_connection: latin1_swedish_ci Database Collation: latin1_swedish_ci
character_set_client
is the
session value of the
character_set_client
system
variable when the routine was created.
collation_connection
is the
session value of the
collation_connection
system
variable when the routine was created. Database
Collation
is the collation of the database with which
the routine is associated.
SHOW CREATE TABLE tbl_name
Shows the CREATE TABLE
statement
that creates the given table. To use this statement, you must
have some privilege for the table. This statement also works
with views.
mysql> SHOW CREATE TABLE t\G
*************************** 1. row ***************************
Table: t
Create Table: CREATE TABLE t (
id INT(11) default NULL auto_increment,
s char(60) default NULL,
PRIMARY KEY (id)
) ENGINE=MyISAM
SHOW CREATE TABLE
quotes table
and column names according to the value of the
sql_quote_show_create
option.
See Section 5.1.4, “Server System Variables”.
SHOW CREATE TRIGGER trigger_name
This statement shows a CREATE
TRIGGER
statement that creates the given trigger.
mysql> SHOW CREATE TRIGGER ins_sum
\G
*************************** 1. row ***************************
Trigger: ins_sum
sql_mode:
SQL Original Statement: CREATE DEFINER=`bob`@`localhost` TRIGGER ins_sum
BEFORE INSERT ON account
FOR EACH ROW SET @sum = @sum + NEW.amount
character_set_client: latin1
collation_connection: latin1_swedish_ci
Database Collation: latin1_swedish_ci
You can also obtain information about trigger objects from
INFORMATION_SCHEMA
, which contains a
TRIGGERS
table. See
Section 19.27, “The INFORMATION_SCHEMA TRIGGERS
Table”.
SHOW CREATE VIEW view_name
This statement shows a CREATE
VIEW
statement that creates the given view.
mysql> SHOW CREATE VIEW v\G
*************************** 1. row ***************************
View: v
Create View: CREATE ALGORITHM=UNDEFINED
DEFINER=`bob`@`localhost`
SQL SECURITY DEFINER VIEW
`v` AS select 1 AS `a`,2 AS `b`
character_set_client: latin1
collation_connection: latin1_swedish_ci
character_set_client
is the
session value of the
character_set_client
system
variable when the view was created.
collation_connection
is the
session value of the
collation_connection
system
variable when the view was created.
Use of SHOW CREATE VIEW
requires
the SHOW VIEW
privilege and the
SELECT
privilege for the view in
question.
You can also obtain information about view objects from
INFORMATION_SCHEMA
, which contains a
VIEWS
table. See
Section 19.29, “The INFORMATION_SCHEMA VIEWS
Table”.
MySQL lets you use different
sql_mode
settings to tell the
server the type of SQL syntax to support. For example, you might
use the ANSI
SQL mode to
ensure MySQL correctly interprets the standard SQL concatenation
operator, the double bar (||
), in your
queries. If you then create a view that concatenates items, you
might worry that changing the
sql_mode
setting to a value
different from ANSI
could
cause the view to become invalid. But this is not the case. No
matter how you write out a view definition, MySQL always stores
it the same way, in a canonical form. Here is an example that
shows how the server changes a double bar concatenation operator
to a CONCAT()
function:
mysql>SET sql_mode = 'ANSI';
Query OK, 0 rows affected (0.00 sec) mysql>CREATE VIEW test.v AS SELECT 'a' || 'b' as col1;
Query OK, 0 rows affected (0.01 sec) mysql>SHOW CREATE VIEW test.v\G
*************************** 1. row *************************** View: v Create View: CREATE VIEW "v" AS select concat('a','b') AS "col1" ... 1 row in set (0.00 sec)
The advantage of storing a view definition in canonical form is
that changes made later to the value of
sql_mode
will not affect the
results from the view. However an additional consequence is that
comments prior to SELECT
are
stripped from the definition by the server.
SHOW {DATABASES | SCHEMAS} [LIKE 'pattern
' | WHEREexpr
]
SHOW DATABASES
lists the
databases on the MySQL server host.
SHOW
SCHEMAS
is a synonym for SHOW
DATABASES
. The LIKE
clause, if present, indicates which database names to match. The
WHERE
clause can be given to select rows
using more general conditions, as discussed in
Section 19.31, “Extensions to SHOW
Statements”.
You see only those databases for which you have some kind of
privilege, unless you have the global SHOW
DATABASES
privilege. You can also get this list using
the mysqlshow command.
If the server was started with the
--skip-show-database
option, you
cannot use this statement at all unless you have the
SHOW DATABASES
privilege.
MySQL implements databases as directories in the data directory, so this statement simply lists directories in that location. However, the output may include names of directories that do not correspond to actual databases.
SHOW ENGINE engine_name
{STATUS | MUTEX}
SHOW ENGINE
displays operational
information about a storage engine. The following statements
currently are supported:
SHOW ENGINE INNODB STATUS SHOW ENGINE INNODB MUTEX SHOW ENGINE PERFORMANCE_SCHEMA STATUS
SHOW ENGINE INNODB
STATUS
displays extensive information from the
standard InnoDB
Monitor about the state of
the InnoDB
storage engine. For information
about the standard monitor and other InnoDB
Monitors that provide information about
InnoDB
processing, see
Section 14.2.5.4, “SHOW ENGINE INNODB
STATUS
and the InnoDB
Monitors”.
SHOW ENGINE INNODB
MUTEX
displays InnoDB
mutex
statistics. The statement displays the following fields:
Type
Always InnoDB
.
Name
The source file where the mutex is implemented, and the line number in the file where the mutex is created. The line number may change depending on your version of MySQL.
Status
The mutex status. This field displays several values if
UNIV_DEBUG
was defined at MySQL
compilation time (for example, in
include/univ.i
in the
InnoDB
part of the MySQL source tree). If
UNIV_DEBUG
was not defined, the statement
displays only the os_waits
value. In the
latter case (without UNIV_DEBUG), the information on which
the output is based is insufficient to distinguish regular
mutexes and mutexes that protect rw-locks (which permit
multiple readers or a single writer). Consequently, the
output may appear to contain multiple rows for the same
mutex.
count
indicates how many times the
mutex was requested.
spin_waits
indicates how many times
the spinlock had to run.
spin_rounds
indicates the number of
spinlock rounds. (spin_rounds
divided
by spin_waits
provides the average
round count.)
os_waits
indicates the number of
operating system waits. This occurs when the spinlock
did not work (the mutex was not locked during the
spinlock and it was necessary to yield to the operating
system and wait).
os_yields
indicates the number of
times a the thread trying to lock a mutex gave up its
timeslice and yielded to the operating system (on the
presumption that permitting other threads to run will
free the mutex so that it can be locked).
os_wait_times
indicates the amount of
time (in ms) spent in operating system waits, if the
timed_mutexes
system
variable is 1 (ON
). If
timed_mutexes
is 0
(OFF
), timing is disabled, so
os_wait_times
is 0.
timed_mutexes
is off by
default.
Information from this statement can be used to diagnose system
problems. For example, large values of
spin_waits
and spin_rounds
may indicate scalability problems.
Use SHOW ENGINE
PERFORMANCE_SCHEMA STATUS
to inspect the internal
operation of the Performance Schema code:
mysql> SHOW ENGINE PERFORMANCE_SCHEMA STATUS\G
...
*************************** 3. row ***************************
Type: performance_schema
Name: events_waits_history.row_size
Status: 76
*************************** 4. row ***************************
Type: performance_schema
Name: events_waits_history.row_count
Status: 10000
*************************** 5. row ***************************
Type: performance_schema
Name: events_waits_history.memory
Status: 760000
...
*************************** 57. row ***************************
Type: performance_schema
Name: performance_schema.memory
Status: 26459600
...
The intent of this statement is to help the DBA to understand the effects that different options have on memory requirements.
Name
values consist of two parts, which name
an internal buffer and an attribute of the buffer, respectively:
Internal buffers that are exposed as a table in the
performance_schema
database are named
after the table. Examples:
events_waits_history.row_size
,
mutex_instances.row_count
.
Internal buffers that are not exposed as a table are named
within parentheses. Examples:
(pfs_cond_class).row_size
,
(pfs_mutex_class).memory
.
Values that apply to the Performance Schema as a whole begin
with performance_schema
. Example:
performance_schema.memory
.
Attributes have these meanings:
row_size
cannot be changed. It is the
size of the internal record used by the implementation.
row_count
can be changed depending on the
configuration options.
For a table,
is the product of tbl_name
.memoryrow_size
multiplied by
row_count
. For the Performance Schema as
a whole, performance_schema.memory
is the
sum of all the memory used (the sum of all other
memory
values).
In some cases, there is a direct relationship between a
configuration parameter and a SHOW ENGINE
value. For example,
events_waits_history_long.row_count
corresponds to
performance_schema_events_waits_history_long_size
.
In other cases, the relationship is more complex. For example,
events_waits_history.row_count
corresponds to
performance_schema_events_waits_history_size
(the number of rows per thread) multiplied by
performance_schema_max_thread_instances
( the number of threads).
SHOW [STORAGE] ENGINES
SHOW ENGINES
displays status
information about the server's storage engines. This is
particularly useful for checking whether a storage engine is
supported, or to see what the default engine is.
mysql> SHOW ENGINES\G
*************************** 1. row ***************************
Engine: MEMORY
Support: YES
Comment: Hash based, stored in memory, useful for temporary tables
Transactions: NO
XA: NO
Savepoints: NO
*************************** 2. row ***************************
Engine: MyISAM
Support: YES
Comment: MyISAM storage engine
Transactions: NO
XA: NO
Savepoints: NO
*************************** 3. row ***************************
Engine: InnoDB
Support: DEFAULT
Comment: Supports transactions, row-level locking, and foreign keys
Transactions: YES
XA: YES
Savepoints: YES
*************************** 4. row ***************************
Engine: EXAMPLE
Support: YES
Comment: Example storage engine
Transactions: NO
XA: NO
Savepoints: NO
*************************** 5. row ***************************
Engine: ARCHIVE
Support: YES
Comment: Archive storage engine
Transactions: NO
XA: NO
Savepoints: NO
*************************** 6. row ***************************
Engine: CSV
Support: YES
Comment: CSV storage engine
Transactions: NO
XA: NO
Savepoints: NO
*************************** 7. row ***************************
Engine: BLACKHOLE
Support: YES
Comment: /dev/null storage engine (anything you write »
to it disappears)
Transactions: NO
XA: NO
Savepoints: NO
*************************** 8. row ***************************
Engine: FEDERATED
Support: YES
Comment: Federated MySQL storage engine
Transactions: NO
XA: NO
Savepoints: NO
*************************** 9. row ***************************
Engine: MRG_MYISAM
Support: YES
Comment: Collection of identical MyISAM tables
Transactions: NO
XA: NO
Savepoints: NO
The output from SHOW ENGINES
may
vary according to the MySQL version used and other factors. The
values shown in the Support
column indicate
the server's level of support for the storage engine, as shown
in the following table.
Value | Meaning |
---|---|
YES | The engine is supported and is active |
DEFAULT | Like YES , plus this is the default engine |
NO | The engine is not supported |
DISABLED | The engine is supported but has been disabled |
A value of NO
means that the server was
compiled without support for the engine, so it cannot be enabled
at runtime.
A value of DISABLED
occurs either because the
server was started with an option that disables the engine, or
because not all options required to enable it were given. In the
latter case, the error log file should contain a reason
indicating why the option is disabled. See
Section 5.2.2, “The Error Log”.
You might also see DISABLED
for a storage
engine if the server was compiled to support it, but was started
with a
--skip-
option.
engine_name
All MySQL servers support MyISAM
tables,
because MyISAM
is the default storage engine.
It is not possible to disable MyISAM
.
The Transactions
, XA
, and
Savepoints
columns indicate whether the
storage engine supports transactions, XA transactions, and
savepoints, respectively.
SHOW ERRORS [LIMIT [offset
,]row_count
] SHOW COUNT(*) ERRORS
This statement is similar to SHOW
WARNINGS
, except that it displays information only for
errors, rather than for errors, warnings, and notes.
The LIMIT
clause has the same syntax as for
the SELECT
statement. See
Section 13.2.9, “SELECT
Syntax”.
The SHOW COUNT(*)
ERRORS
statement displays the number of errors. You
can also retrieve this number from the
error_count
variable:
SHOW COUNT(*) ERRORS; SELECT @@error_count;
SHOW ERRORS
and
error_count
apply only to
errors, not warnings or notes. In other respects, they are
similar to SHOW WARNINGS
and
warning_count
. In particular,
SHOW ERRORS
cannot display
information for more than
max_error_count
messages, and
error_count
can exceed the
value of max_error_count
if the
number of errors exceeds
max_error_count
.
For more information, see Section 13.7.5.41, “SHOW WARNINGS
Syntax”.
SHOW EVENTS [{FROM | IN}schema_name
] [LIKE 'pattern
' | WHEREexpr
]
This statement displays information about Event Manager events.
It requires the EVENT
privilege
for the database from which the events are to be shown.
In its simplest form, SHOW EVENTS
lists all of the events in the current schema:
mysql>SELECT CURRENT_USER(), SCHEMA();
+----------------+----------+ | CURRENT_USER() | SCHEMA() | +----------------+----------+ | jon@ghidora | myschema | +----------------+----------+ 1 row in set (0.00 sec) mysql>SHOW EVENTS\G
*************************** 1. row *************************** Db: myschema Name: e_daily Definer: jon@ghidora Time zone: SYSTEM Type: RECURRING Execute at: NULL Interval value: 10 Interval field: SECOND Starts: 2006-02-09 10:41:23 Ends: NULL Status: ENABLED Originator: 0 character_set_client: latin1 collation_connection: latin1_swedish_ci Database Collation: latin1_swedish_ci
To see events for a specific schema, use the
FROM
clause. For example, to see events for
the test
schema, use the following statement:
SHOW EVENTS FROM test;
The LIKE
clause, if present,
indicates which event names to match. The
WHERE
clause can be given to select rows
using more general conditions, as discussed in
Section 19.31, “Extensions to SHOW
Statements”.
SHOW EVENTS
output has the
following columns:
Db
: The schema (database) on which the
event is defined.
Name
: The name of the event.
Time zone
: The event time zone, which is
the time zone used for scheduling the event and that is in
effect within the event as it executes. The default value is
SYSTEM
.
Definer
: The account of the user who
created the event, in
'
format.
user_name
'@'host_name
'
Type
: The event repetition type, either
ONE TIME
(transient) or
RECURRING
(repeating).
Execute At
: The date and time when a
transient event is set to execute. Shown as a
DATETIME
value.
For a recurring event, the value of this column is always
NULL
.
Interval Value
: For a recurring event,
the number of intervals to wait between event executions.
For a transient event, the value of this column is always
NULL
.
Interval Field
: The time units used for
the interval which a recurring event waits before repeating.
For a transient event, the value of this column is always
NULL
.
Starts
: The start date and time for a
recurring event. This is displayed as a
DATETIME
value, and is
NULL
if no start date and time are
defined for the event.
For a transient event, this column is always
NULL
.
Ends
: The end date and time for a
recurring event. This is displayed as a
DATETIME
value, and defaults
to NULL
if no end date and time is
defined for the event.
For a transient event, this column is always
NULL
.
Status
: The event status. One of
ENABLED
, DISABLED
, or
SLAVESIDE_DISABLED
.
SLAVESIDE_DISABLED
indicates that the
creation of the event occurred on another MySQL server
acting as a replication master and replicated to the current
MySQL server which is acting as a slave, but the event is
not presently being executed on the slave.
Originator
: The server ID of the MySQL
server on which the event was created. Defaults to 0.
character_set_client
is the
session value of the
character_set_client
system
variable when the routine was created.
collation_connection
is the
session value of the
collation_connection
system
variable when the routine was created. Database
Collation
is the collation of the database with
which the routine is associated.
For more information about SLAVE_DISABLED
and
the Originator
column, see
Section 16.4.1.10, “Replication of Invoked Features”.
The event action statement is not shown in the output of
SHOW EVENTS
. Use
SHOW CREATE EVENT
or the
INFORMATION_SCHEMA.EVENTS
table.
Times displayed by SHOW EVENTS
are given in the event time zone, as discussed in
Section 18.4.4, “Event Metadata”.
The columns in the output of SHOW
EVENTS
are similar to, but not identical to the
columns in the
INFORMATION_SCHEMA.EVENTS
table.
See Section 19.7, “The INFORMATION_SCHEMA EVENTS
Table”.
SHOW FUNCTION CODE func_name
This statement is similar to SHOW PROCEDURE
CODE
but for stored functions. See
Section 13.7.5.28, “SHOW PROCEDURE CODE
Syntax”.
SHOW FUNCTION STATUS [LIKE 'pattern
' | WHEREexpr
]
This statement is similar to SHOW PROCEDURE
STATUS
but for stored functions. See
Section 13.7.5.29, “SHOW PROCEDURE STATUS
Syntax”.
SHOW GRANTS [FOR user
]
This statement lists the GRANT
statement or statements that must be issued to duplicate the
privileges that are granted to a MySQL user account. The account
is named using the same format as for the
GRANT
statement; for example,
'jeffrey'@'localhost'
. If you specify only
the user name part of the account name, a host name part of
'%'
is used. For additional information about
specifying account names, see Section 13.7.1.4, “GRANT
Syntax”.
mysql> SHOW GRANTS FOR 'root'@'localhost';
+---------------------------------------------------------------------+
| Grants for root@localhost |
+---------------------------------------------------------------------+
| GRANT ALL PRIVILEGES ON *.* TO 'root'@'localhost' WITH GRANT OPTION |
+---------------------------------------------------------------------+
To list the privileges granted to the account that you are using to connect to the server, you can use any of the following statements:
SHOW GRANTS; SHOW GRANTS FOR CURRENT_USER; SHOW GRANTS FOR CURRENT_USER();
If SHOW GRANTS FOR CURRENT_USER
(or any of
the equivalent syntaxes) is used in DEFINER
context, such as within a stored procedure that is defined with
SQL SECURITY DEFINER
), the grants displayed
are those of the definer and not the invoker.
SHOW GRANTS
displays only the
privileges granted explicitly to the named account. Other
privileges might be available to the account, but they are not
displayed. For example, if an anonymous account exists, the
named account might be able to use its privileges, but
SHOW GRANTS
will not display
them.
SHOW GRANTS
requires the
SELECT
privilege for the
mysql
database, except to see the privileges
for the current user.
SHOW {INDEX | INDEXES | KEYS} {FROM | IN}tbl_name
[{FROM | IN}db_name
] [WHEREexpr
]
SHOW INDEX
returns table index
information. The format resembles that of the
SQLStatistics
call in ODBC. This statement
requires some privilege for any column in the table.
SHOW INDEX
returns the following
fields:
Table
The name of the table.
Non_unique
0 if the index cannot contain duplicates, 1 if it can.
Key_name
The name of the index. If the index is the primary key, the
name is always PRIMARY
.
Seq_in_index
The column sequence number in the index, starting with 1.
Column_name
The column name.
How the column is sorted in the index. In MySQL, this can
have values “A
” (Ascending)
or NULL
(Not sorted).
An estimate of the number of unique values in the index.
This is updated by running ANALYZE
TABLE
or myisamchk -a.
Cardinality
is counted based on
statistics stored as integers, so the value is not
necessarily exact even for small tables. The higher the
cardinality, the greater the chance that MySQL uses the
index when doing joins.
Sub_part
The number of indexed characters if the column is only
partly indexed, NULL
if the entire column
is indexed.
Packed
Indicates how the key is packed. NULL
if
it is not.
Null
Contains YES
if the column may contain
NULL
values and ''
if
not.
Index_type
The index method used (BTREE
,
FULLTEXT
, HASH
,
RTREE
).
Comment
Information about the index not described in its own column,
such as disabled
if the index is
disabled.
Index_comment
Any comment provided for the index with a
COMMENT
attribute when the index was
created.
You can use
db_name
.tbl_name
as an alternative to the
syntax. These two
statements are equivalent:
tbl_name
FROM
db_name
SHOW INDEX FROM mytable FROM mydb; SHOW INDEX FROM mydb.mytable;
The WHERE
clause can be given to select rows
using more general conditions, as discussed in
Section 19.31, “Extensions to SHOW
Statements”.
You can also list a table's indexes with the mysqlshow
-k db_name
tbl_name
command.
SHOW MASTER STATUS
This statement provides status information about the binary log
files of the master. It requires either the
SUPER
or
REPLICATION CLIENT
privilege.
Example:
mysql> SHOW MASTER STATUS\G
*************************** 1. row ***************************
File: master-bin.000002
Position: 1307
Binlog_Do_DB: test
Binlog_Ignore_DB: manual, mysql
Executed_Gtid_Set: 3E11FA47-71CA-11E1-9E33-C80AA9429562:1-5
1 row in set (0.00 sec)
The Executed_Gtid_Set
column was added in
MySQL 5.6.5. When global transaction IDs are in use, this column
shows the set of GTIDs for transactions that have been executed
on the master. This is the same as the master's value for
the global gtid_executed
system
variable (named gtid_done
prior
to MySQL 5.6.9).
SHOW OPEN TABLES [{FROM | IN}db_name
] [LIKE 'pattern
' | WHEREexpr
]
SHOW OPEN TABLES
lists the
non-TEMPORARY
tables that are currently open
in the table cache. See Section 8.4.3.1, “How MySQL Opens and Closes Tables”. The
FROM
clause, if present, restricts the tables
shown to those present in the db_name
database. The LIKE
clause, if
present, indicates which table names to match. The
WHERE
clause can be given to select rows
using more general conditions, as discussed in
Section 19.31, “Extensions to SHOW
Statements”.
SHOW OPEN TABLES
returns the
following columns:
Database
The database containing the table.
Table
The table name.
In_use
The number of table locks or lock requests there are for the
table. For example, if one client acquires a lock for a
table using LOCK TABLE t1 WRITE
,
In_use
will be 1. If another client
issues LOCK TABLE t1 WRITE
while the
table remains locked, the client will block waiting for the
lock, but the lock request causes In_use
to be 2. If the count is zero, the table is open but not
currently being used. In_use
is also
increased by the
HANDLER ...
OPEN
statement and decreased by
HANDLER ...
CLOSE
.
Name_locked
Whether the table name is locked. Name locking is used for operations such as dropping or renaming tables.
If you have no privileges for a table, it does not show up in
the output from SHOW OPEN TABLES
.
SHOW PLUGINS
SHOW PLUGINS
displays information
about server plugins. Plugin information is also available in
the INFORMATION_SCHEMA.PLUGINS
table. See
Section 19.15, “The INFORMATION_SCHEMA PLUGINS
Table”.
Example of SHOW PLUGINS
output:
mysql> SHOW PLUGINS\G
*************************** 1. row ***************************
Name: binlog
Status: ACTIVE
Type: STORAGE ENGINE
Library: NULL
License: GPL
*************************** 2. row ***************************
Name: CSV
Status: ACTIVE
Type: STORAGE ENGINE
Library: NULL
License: GPL
*************************** 3. row ***************************
Name: MEMORY
Status: ACTIVE
Type: STORAGE ENGINE
Library: NULL
License: GPL
*************************** 4. row ***************************
Name: MyISAM
Status: ACTIVE
Type: STORAGE ENGINE
Library: NULL
License: GPL
...
SHOW PLUGINS
returns the
following columns:
Name
: The name used to refer to the
plugin in statements such as INSTALL
PLUGIN
and UNINSTALL
PLUGIN
.
Status
: The plugin status, one of
ACTIVE
, INACTIVE
,
DISABLED
, or DELETED
.
Type
: The type of plugin, such as
STORAGE ENGINE
,
INFORMATION_SCHEMA
, or
AUTHENTICATION
.
Library
: The name of the plugin shared
object file. This is the name used to refer to the plugin
file in statements such as INSTALL
PLUGIN
and UNINSTALL
PLUGIN
. This file is located in the directory
named by the plugin_dir
system variable. If the library name is
NULL
, the plugin is compiled in and
cannot be uninstalled with UNINSTALL
PLUGIN
.
License
: How the plugin is licensed; for
example, GPL
.
For plugins installed with INSTALL
PLUGIN
, the Name
and
Library
values are also registered in the
mysql.plugin
table.
For information about plugin data structures that form the basis
of the information displayed by SHOW
PLUGINS
, see Section 22.2, “The MySQL Plugin API”.
SHOW PRIVILEGES
SHOW PRIVILEGES
shows the list of
system privileges that the MySQL server supports. The exact list
of privileges depends on the version of your server.
mysql> SHOW PRIVILEGES\G
*************************** 1. row ***************************
Privilege: Alter
Context: Tables
Comment: To alter the table
*************************** 2. row ***************************
Privilege: Alter routine
Context: Functions,Procedures
Comment: To alter or drop stored functions/procedures
*************************** 3. row ***************************
Privilege: Create
Context: Databases,Tables,Indexes
Comment: To create new databases and tables
*************************** 4. row ***************************
Privilege: Create routine
Context: Databases
Comment: To use CREATE FUNCTION/PROCEDURE
*************************** 5. row ***************************
Privilege: Create temporary tables
Context: Databases
Comment: To use CREATE TEMPORARY TABLE
...
Privileges belonging to a specific user are displayed by the
SHOW GRANTS
statement. See
Section 13.7.5.22, “SHOW GRANTS
Syntax”, for more information.
SHOW PROCEDURE CODE proc_name
This statement is a MySQL extension that is available only for
servers that have been built with debugging support. It displays
a representation of the internal implementation of the named
stored procedure. A similar statement, SHOW
FUNCTION CODE
, displays information about stored
functions (see Section 13.7.5.20, “SHOW FUNCTION CODE
Syntax”).
Both statements require that you be the owner of the routine or
have SELECT
access to the
mysql.proc
table.
If the named routine is available, each statement produces a
result set. Each row in the result set corresponds to one
“instruction” in the routine. The first column is
Pos
, which is an ordinal number beginning
with 0. The second column is Instruction
,
which contains an SQL statement (usually changed from the
original source), or a directive which has meaning only to the
stored-routine handler.
mysql>DELIMITER //
mysql>CREATE PROCEDURE p1 ()
->BEGIN
->DECLARE fanta INT DEFAULT 55;
->DROP TABLE t2;
->LOOP
->INSERT INTO t3 VALUES (fanta);
->END LOOP;
->END//
Query OK, 0 rows affected (0.00 sec) mysql>SHOW PROCEDURE CODE p1//
+-----+----------------------------------------+ | Pos | Instruction | +-----+----------------------------------------+ | 0 | set fanta@0 55 | | 1 | stmt 9 "DROP TABLE t2" | | 2 | stmt 5 "INSERT INTO t3 VALUES (fanta)" | | 3 | jump 2 | +-----+----------------------------------------+ 4 rows in set (0.00 sec)
In this example, the nonexecutable BEGIN
and
END
statements have disappeared, and for the
DECLARE
statement,
only the executable part appears (the part where the default is
assigned). For each statement that is taken from source, there
is a code word variable_name
stmt
followed by a type (9
means DROP
, 5 means
INSERT
, and so on). The final row
contains an instruction jump 2
, meaning
GOTO instruction #2
.
SHOW PROCEDURE STATUS [LIKE 'pattern
' | WHEREexpr
]
This statement is a MySQL extension. It returns characteristics
of a stored procedure, such as the database, name, type,
creator, creation and modification dates, and character set
information. A similar statement, SHOW
FUNCTION STATUS
, displays information about stored
functions (see Section 13.7.5.21, “SHOW FUNCTION STATUS
Syntax”).
The LIKE
clause, if present,
indicates which procedure or function names to match. The
WHERE
clause can be given to select rows
using more general conditions, as discussed in
Section 19.31, “Extensions to SHOW
Statements”.
mysql> SHOW PROCEDURE STATUS LIKE 'sp1'\G
*************************** 1. row ***************************
Db: test
Name: sp1
Type: PROCEDURE
Definer: testuser@localhost
Modified: 2004-08-03 15:29:37
Created: 2004-08-03 15:29:37
Security_type: DEFINER
Comment:
character_set_client: latin1
collation_connection: latin1_swedish_ci
Database Collation: latin1_swedish_ci
character_set_client
is the
session value of the
character_set_client
system
variable when the routine was created.
collation_connection
is the
session value of the
collation_connection
system
variable when the routine was created. Database
Collation
is the collation of the database with which
the routine is associated.
You can also get information about stored routines from the
ROUTINES
table in
INFORMATION_SCHEMA
. See
Section 19.19, “The INFORMATION_SCHEMA ROUTINES
Table”.
SHOW [FULL] PROCESSLIST
SHOW PROCESSLIST
shows you which
threads are running. You can also get this information from the
INFORMATION_SCHEMA
PROCESSLIST
table or the
mysqladmin processlist command. If you have
the PROCESS
privilege, you can
see all threads. Otherwise, you can see only your own threads
(that is, threads associated with the MySQL account that you are
using). If you do not use the FULL
keyword,
only the first 100 characters of each statement are shown in the
Info
field.
Process information is also available from the
performance_schema.threads
table.
However, access to threads
does not
require a mutex and has minimal impact on server performance.
INFORMATION_SCHEMA.PROCESSLIST
and
SHOW PROCESSLIST
have negative
performance consequences because they require a mutex.
threads
also shows information
about background threads, which
INFORMATION_SCHEMA.PROCESSLIST
and
SHOW PROCESSLIST
do not. This
means that threads
can be used to
monitor activity the other thread information sources cannot.
The SHOW PROCESSLIST
statement is
very useful if you get the “too many connections”
error message and want to find out what is going on. MySQL
reserves one extra connection to be used by accounts that have
the SUPER
privilege, to ensure
that administrators should always be able to connect and check
the system (assuming that you are not giving this privilege to
all your users).
Threads can be killed with the
KILL
statement. See
Section 13.7.6.4, “KILL
Syntax”.
Here is an example of SHOW
PROCESSLIST
output:
mysql> SHOW FULL PROCESSLIST\G *************************** 1. row *************************** Id: 1 User: system user Host: db: NULL Command: Connect Time: 1030455 State: Waiting for master to send event Info: NULL *************************** 2. row *************************** Id: 2 User: system user Host: db: NULL Command: Connect Time: 1004 State: Has read all relay log; waiting for the slave I/O thread to update it Info: NULL *************************** 3. row *************************** Id: 3112 User: replikator Host: artemis:2204 db: NULL Command: Binlog Dump Time: 2144 State: Has sent all binlog to slave; waiting for binlog to be updated Info: NULL *************************** 4. row *************************** Id: 3113 User: replikator Host: iconnect2:45781 db: NULL Command: Binlog Dump Time: 2086 State: Has sent all binlog to slave; waiting for binlog to be updated Info: NULL *************************** 5. row *************************** Id: 3123 User: stefan Host: localhost db: apollon Command: Query Time: 0 State: NULL Info: SHOW FULL PROCESSLIST 5 rows in set (0.00 sec)
The columns produced by SHOW
PROCESSLIST
have the following meanings:
Id
The connection identifier.
User
The MySQL user who issued the statement. If this is
system user
, it refers to a nonclient
thread spawned by the server to handle tasks internally.
This could be the I/O or SQL thread used on replication
slaves or a delayed-row handler. unauthenticated
user
refers to a thread that has become associated
with a client connection but for which authentication of the
client user has not yet been done.
event_scheduler
refers to the thread that
monitors scheduled events. For system
user
, there is no host specified in the
Host
column.
Host
The host name of the client issuing the statement (except
for system user
where there is no host).
SHOW PROCESSLIST
reports the
host name for TCP/IP connections in
format to make it easier to determine which client is doing
what.
host_name
:client_port
db
The default database, if one is selected, otherwise
NULL
.
Command
The type of command the thread is executing. For
descriptions for thread commands, see
Section 8.12.5, “Examining Thread Information”. The value of this
column corresponds to the
COM_
commands of the client/server protocol and
xxx
Com_
status
variables. See Section 5.1.6, “Server Status Variables”
xxx
Time
The time in seconds that the thread has been in its current state.
State
An action, event, or state that indicates what the thread is
doing. Descriptions for State
values can
be found at Section 8.12.5, “Examining Thread Information”.
Most states correspond to very quick operations. If a thread stays in a given state for many seconds, there might be a problem that needs to be investigated.
For the SHOW PROCESSLIST
statement, the value of State
is
NULL
.
Info
The statement the thread is executing, or
NULL
if it is not executing any
statement. The statement might be the one sent to the
server, or an innermost statement if the statement executes
other statements. For example, if a CALL
statement executes a stored procedure that is executing a
SELECT
statement, the
Info
value shows the
SELECT
statement.
SHOW PROFILE [type
[,type
] ... ] [FOR QUERYn
] [LIMITrow_count
[OFFSEToffset
]]type
: ALL | BLOCK IO | CONTEXT SWITCHES | CPU | IPC | MEMORY | PAGE FAULTS | SOURCE | SWAPS
The SHOW PROFILE
and
SHOW PROFILES
statements display
profiling information that indicates resource usage for
statements executed during the course of the current session.
These statements are deprecated as of MySQL 5.6.7 and will be removed in a future MySQL release. Use the Performance Schema instead; see Chapter 20, MySQL Performance Schema.
Profiling is controlled by the
profiling
session variable,
which has a default value of 0 (OFF
).
Profiling is enabled by setting
profiling
to 1 or
ON
:
mysql> SET profiling = 1;
SHOW PROFILES
displays a list of
the most recent statements sent to the server. The size of the
list is controlled by the
profiling_history_size
session
variable, which has a default value of 15. The maximum value is
100. Setting the value to 0 has the practical effect of
disabling profiling.
All statements are profiled except SHOW
PROFILE
and SHOW
PROFILES
, so you will find neither of those statements
in the profile list. Malformed statements are profiled. For
example, SHOW PROFILING
is an illegal
statement, and a syntax error occurs if you try to execute it,
but it will show up in the profiling list.
SHOW PROFILE
displays detailed
information about a single statement. Without the FOR
QUERY
clause, the output
pertains to the most recently executed statement. If
n
FOR QUERY
is
included, n
SHOW PROFILE
displays
information for statement n
. The
values of n
correspond to the
Query_ID
values displayed by
SHOW PROFILES
.
The LIMIT
clause may be
given to limit the output to
row_count
row_count
rows. If
LIMIT
is given, OFFSET
may be added to
begin the output offset
offset
rows into the
full set of rows.
By default, SHOW PROFILE
displays
Status
and Duration
columns. The Status
values are like the
State
values displayed by
SHOW PROCESSLIST
, although there
might be some minor differences in interpretion for the two
statements for some status values (see
Section 8.12.5, “Examining Thread Information”).
Optional type
values may be specified
to display specific additional types of information:
ALL
displays all information
BLOCK IO
displays counts for block input
and output operations
CONTEXT SWITCHES
displays counts for
voluntary and involuntary context switches
CPU
displays user and system CPU usage
times
IPC
displays counts for messages sent and
received
MEMORY
is not currently implemented
PAGE FAULTS
displays counts for major and
minor page faults
SOURCE
displays the names of functions
from the source code, together with the name and line number
of the file in which the function occurs
SWAPS
displays swap counts
Profiling is enabled per session. When a session ends, its profiling information is lost.
mysql>SELECT @@profiling;
+-------------+ | @@profiling | +-------------+ | 0 | +-------------+ 1 row in set (0.00 sec) mysql>SET profiling = 1;
Query OK, 0 rows affected (0.00 sec) mysql>DROP TABLE IF EXISTS t1;
Query OK, 0 rows affected, 1 warning (0.00 sec) mysql>CREATE TABLE T1 (id INT);
Query OK, 0 rows affected (0.01 sec) mysql>SHOW PROFILES;
+----------+----------+--------------------------+ | Query_ID | Duration | Query | +----------+----------+--------------------------+ | 0 | 0.000088 | SET PROFILING = 1 | | 1 | 0.000136 | DROP TABLE IF EXISTS t1 | | 2 | 0.011947 | CREATE TABLE t1 (id INT) | +----------+----------+--------------------------+ 3 rows in set (0.00 sec) mysql>SHOW PROFILE;
+----------------------+----------+ | Status | Duration | +----------------------+----------+ | checking permissions | 0.000040 | | creating table | 0.000056 | | After create | 0.011363 | | query end | 0.000375 | | freeing items | 0.000089 | | logging slow query | 0.000019 | | cleaning up | 0.000005 | +----------------------+----------+ 7 rows in set (0.00 sec) mysql>SHOW PROFILE FOR QUERY 1;
+--------------------+----------+ | Status | Duration | +--------------------+----------+ | query end | 0.000107 | | freeing items | 0.000008 | | logging slow query | 0.000015 | | cleaning up | 0.000006 | +--------------------+----------+ 4 rows in set (0.00 sec) mysql>SHOW PROFILE CPU FOR QUERY 2;
+----------------------+----------+----------+------------+ | Status | Duration | CPU_user | CPU_system | +----------------------+----------+----------+------------+ | checking permissions | 0.000040 | 0.000038 | 0.000002 | | creating table | 0.000056 | 0.000028 | 0.000028 | | After create | 0.011363 | 0.000217 | 0.001571 | | query end | 0.000375 | 0.000013 | 0.000028 | | freeing items | 0.000089 | 0.000010 | 0.000014 | | logging slow query | 0.000019 | 0.000009 | 0.000010 | | cleaning up | 0.000005 | 0.000003 | 0.000002 | +----------------------+----------+----------+------------+ 7 rows in set (0.00 sec)
Profiling is only partially functional on some architectures.
For values that depend on the getrusage()
system call, NULL
is returned on systems
such as Windows that do not support the call. In addition,
profiling is per process and not per thread. This means that
activity on threads within the server other than your own may
affect the timing information that you see.
You can also get profiling information from the
PROFILING
table in
INFORMATION_SCHEMA
. See
Section 19.17, “The INFORMATION_SCHEMA PROFILING
Table”. For example, the following
queries produce the same result:
SHOW PROFILE FOR QUERY 2; SELECT STATE, FORMAT(DURATION, 6) AS DURATION FROM INFORMATION_SCHEMA.PROFILING WHERE QUERY_ID = 2 ORDER BY SEQ;
SHOW PROFILES
The SHOW PROFILES
statement,
together with SHOW PROFILE
,
displays profiling information that indicates resource usage for
statements executed during the course of the current session.
For more information, see Section 13.7.5.31, “SHOW PROFILE
Syntax”.
These statements are deprecated as of MySQL 5.6.7 and will be removed in a future MySQL release. Use the Performance Schema instead; see Chapter 20, MySQL Performance Schema.
SHOW RELAYLOG EVENTS [IN 'log_name
'] [FROMpos
] [LIMIT [offset
,]row_count
]
Shows the events in the relay log of a replication slave. If you
do not specify
'
, the
first relay log is displayed. This statement has no effect on
the master.
log_name
'
The LIMIT
clause has the same syntax as for
the SELECT
statement. See
Section 13.2.9, “SELECT
Syntax”.
Issuing a SHOW RELAYLOG EVENTS
with no LIMIT
clause could start a very
time- and resource-consuming process because the server
returns to the client the complete contents of the relay log
(including all statements modifying data that have been
received by the slave).
Some events relating to the setting of user and system
variables are not included in the output from
SHOW RELAYLOG EVENTS
. To get
complete coverage of events within a relay log, use
mysqlbinlog.
SHOW SLAVE HOSTS
Displays a list of replication slaves currently registered with the master.
The list is displayed on any server (not just the master server). The output looks like this:
mysql> SHOW SLAVE HOSTS
;
+-----------+-----------+-------+-----------+--------------------------------------+
| Server_id | Host | Port | Master_id | Slave_UUID |
+-----------+-----------+-------+-----------+--------------------------------------+
| 192168010 | iconnect2 | 3306 | 192168011 | 14cb6624-7f93-11e0-b2c0-c80aa9429562 |
| 1921680101 | athena | 3306 | 192168011 | 07af4990-f41f-11df-a566-7ac56fdaf645 |
+------------+-----------+------+-----------+--------------------------------------+
Server_id
: The unique server ID of the
slave server, as configured in the server's option file, or
on the command line with
--server-id=
.
value
Host
: The host name of the slave server,
as configured in the server's option file, or on the command
line with
--report-host=
.
Note that this can differ from the machine name as
configured in the operating system.
host_name
Port
: The port the slave server is
listening on.
In MySQL 5.6.5 and later, a zero in this column means that
the slave port
(--report-port
) was not set.
Prior to MySQL 5.6.5, 3306 was used as the default in such
cases (Bug #13333431).
Master_id
: The unique server ID of the
master server that the slave server is replicating from.
Slave_UUID
: The globally unique ID of
this slave, as generated on the slave and found in the
slave's auto.cnf
file.
This column was added in MySQL 5.6.0.
SHOW SLAVE STATUS
This statement provides status information on essential
parameters of the slave threads. It requires either the
SUPER
or
REPLICATION CLIENT
privilege.
If you issue this statement using the mysql
client, you can use a \G
statement terminator
rather than a semicolon to obtain a more readable vertical
layout:
mysql> SHOW SLAVE STATUS\G
*************************** 1. row ***************************
Slave_IO_State: Waiting for master to send event
Master_Host: localhost
Master_User: root
Master_Port: 13000
Connect_Retry: 60
Master_Log_File: master-bin.000002
Read_Master_Log_Pos: 1307
Relay_Log_File: slave-relay-bin.000003
Relay_Log_Pos: 1508
Relay_Master_Log_File: master-bin.000002
Slave_IO_Running: Yes
Slave_SQL_Running: Yes
Replicate_Do_DB:
Replicate_Ignore_DB:
Replicate_Do_Table:
Replicate_Ignore_Table:
Replicate_Wild_Do_Table:
Replicate_Wild_Ignore_Table:
Last_Errno: 0
Last_Error:
Skip_Counter: 0
Exec_Master_Log_Pos: 1307
Relay_Log_Space: 1858
Until_Condition: None
Until_Log_File:
Until_Log_Pos: 0
Master_SSL_Allowed: No
Master_SSL_CA_File:
Master_SSL_CA_Path:
Master_SSL_Cert:
Master_SSL_Cipher:
Master_SSL_Key:
Seconds_Behind_Master: 0
Master_SSL_Verify_Server_Cert: No
Last_IO_Errno: 0
Last_IO_Error:
Last_SQL_Errno: 0
Last_SQL_Error:
Replicate_Ignore_Server_Ids:
Master_Server_Id: 1
Master_UUID: 3e11fa47-71ca-11e1-9e33-c80aa9429562
Master_Info_File: /var/mysqld.2/data/master.info
SQL_Delay: 0
SQL_Remaining_Delay: NULL
Slave_SQL_Running_State: Slave has read all relay log; waiting for the slave I/O thread to update it
Master_Retry_Count: 10
Master_Bind:
Last_IO_Error_Timestamp:
Last_SQL_Error_Timestamp:
Master_SSL_Crl:
Master_SSL_Crlpath:
Retrieved_Gtid_Set: 3e11fa47-71ca-11e1-9e33-c80aa9429562:1-5
Executed_Gtid_Set: 3e11fa47-71ca-11e1-9e33-c80aa9429562:1-5
1 row in set (0.00 sec)
The following list describes the fields returned by
SHOW SLAVE STATUS
. For additional
information about interpreting their meanings, see
Section 16.1.5.1, “Checking Replication Status”.
Slave_IO_State
A copy of the State
field of the
SHOW PROCESSLIST
output for
the slave I/O thread. This tells you what the thread is
doing: trying to connect to the master, waiting for events
from the master, reconnecting to the master, and so on.
Possible states are listed in
Section 16.2.1, “Replication Implementation Details”.
Master_Host
The master host that the slave is connected to.
Master_User
The user name of the account used to connect to the master.
Master_Port
The port used to connect to the master.
Connect_Retry
The number of seconds between connect retries (default 60).
This can be set with the CHANGE MASTER
TO
statement.
Master_Log_File
The name of the master binary log file from which the I/O thread is currently reading.
Read_Master_Log_Pos
The position in the current master binary log file up to which the I/O thread has read.
Relay_Log_File
The name of the relay log file from which the SQL thread is currently reading and executing.
Relay_Log_Pos
The position in the current relay log file up to which the SQL thread has read and executed.
Relay_Master_Log_File
The name of the master binary log file containing the most recent event executed by the SQL thread.
Slave_IO_Running
Whether the I/O thread is started and has connected successfully to the master. Internally, the state of this thread is represented by one of the following three values:
MYSQL_SLAVE_NOT_RUN
.
The slave I/O thread is not running. For this state,
Slave_IO_Running
is
No
.
MYSQL_SLAVE_RUN_NOT_CONNECT
.
The slave I/O thread is running, but is not connected
to a replication master. For this state,
Slave_IO_Running
depends on the
server version as shown in the following table.
MySQL Version | Slave_IO_Running |
---|---|
4.1 (4.1.13 and earlier); 5.0 (5.0.11 and earlier) | Yes |
4.1 (4.1.14 and later); 5.0 (5.0.12 and later) | No |
5.1 (5.1.45 and earlier); 5.4 | No |
5.1 (5.1.46 and later); 5.5; 5.6 | Connecting |
MYSQL_SLAVE_RUN_CONNECT
.
The slave I/O thread is running, and is connected to a
replication master. For this state,
Slave_IO_Running
is
Yes
.
The value of the
Slave_running
system
status variable corresponds with this value.
Slave_SQL_Running
Whether the SQL thread is started.
Replicate_Do_DB
,
Replicate_Ignore_DB
The lists of databases that were specified with the
--replicate-do-db
and
--replicate-ignore-db
options, if any.
Replicate_Do_Table
,
Replicate_Ignore_Table
,
Replicate_Wild_Do_Table
,
Replicate_Wild_Ignore_Table
The lists of tables that were specified with the
--replicate-do-table
,
--replicate-ignore-table
,
--replicate-wild-do-table
,
and
--replicate-wild-ignore-table
options, if any.
Last_Errno
, Last_Error
These columns are aliases for
Last_SQL_Errno
and
Last_SQL_Error
.
Issuing RESET MASTER
or
RESET SLAVE
resets the values
shown in these columns.
When the slave SQL thread receives an error, it reports
the error first, then stops the SQL thread. This means
that there is a small window of time during which
SHOW SLAVE STATUS
shows a
nonzero value for Last_SQL_Errno
even
though Slave_SQL_Running
still displays
Yes
.
Skip_Counter
The current value of the
sql_slave_skip_counter
system variable. See
Section 13.4.2.4, “SET GLOBAL sql_slave_skip_counter
Syntax”.
Exec_Master_Log_Pos
The position in the current master binary log file to which
the SQL thread has read and executed, marking the start of
the next transaction or event to be processed. You can use
this value with the CHANGE MASTER
TO
statement's
MASTER_LOG_POS
option when starting a new
slave from an existing slave, so that the new slave reads
from this point. The coordinates given by
(Relay_Master_Log_File
,
Exec_Master_Log_Pos
) in the master's
binary log correspond to the coordinates given by
(Relay_Log_File
,
Relay_Log_Pos
) in the relay log.
When using a multi-threaded slave (by setting
slave_parallel_workers
to a
nonzero value in MySQL 5.6.3 and later), the value in this
column actually represents a “low-water” mark,
before which no uncommitted transactions remain. Because the
current implementation allows execution of transactions on
different databases in a different order on the slave than
on the master, this is not necessarily the position of the
most recently executed transaction.
Relay_Log_Space
The total combined size of all existing relay log files.
Until_Condition
,
Until_Log_File
,
Until_Log_Pos
The values specified in the UNTIL
clause
of the START SLAVE
statement.
Until_Condition
has these values:
None
if no UNTIL
clause was specified
Master
if the slave is reading until
a given position in the master's binary log
Relay
if the slave is reading until a
given position in its relay log
Until_Log_File
and
Until_Log_Pos
indicate the log file name
and position that define the coordinates at which the SQL
thread stops executing.
Master_SSL_Allowed
,
Master_SSL_CA_File
,
Master_SSL_CA_Path
,
Master_SSL_Cert
,
Master_SSL_Cipher
,
Master_SSL_CRL_File
,
Master_SSL_CRL_Path
,
Master_SSL_Key
,
Master_SSL_Verify_Server_Cert
These fields show the SSL parameters used by the slave to connect to the master, if any.
Master_SSL_Allowed
has these values:
Yes
if an SSL connection to the
master is permitted
No
if an SSL connection to the master
is not permitted
Ignored
if an SSL connection is
permitted but the slave server does not have SSL support
enabled
The values of the other SSL-related fields correspond to the
values of the MASTER_SSL_CA
,
MASTER_SSL_CAPATH
,
MASTER_SSL_CERT
,
MASTER_SSL_CIPHER
,
MASTER_SSL_CRL
,
MASTER_SSL_CRLPATH
,
MASTER_SSL_KEY
, and
MASTER_SSL_VERIFY_SERVER_CERT
options to
the CHANGE MASTER TO
statement. See Section 13.4.2.1, “CHANGE MASTER TO
Syntax”.
Master_SSL_CRL_File
and
Master_SSL_CRL_Path
were added in MySQL
5.6.3.
Seconds_Behind_Master
This field is an indication of how “late” the slave is:
When the slave SQL thread is actively processing updates, this field is the number of seconds that have elapsed since the timestamp of the most recent event on the master executed by that thread.
When the SQL thread has caught up to the slave I/O thread and is idle waiting for more events from the I/O thread, this field is zero.
In essence, this field measures the time difference in seconds between the slave SQL thread and the slave I/O thread.
If the network connection between master and slave is fast,
the slave I/O thread is very close to the master, so this
field is a good approximation of how late the slave SQL
thread is compared to the master. If the network is slow,
this is not a good approximation; the
slave SQL thread may quite often be caught up with the
slow-reading slave I/O thread, so
Seconds_Behind_Master
often shows a value
of 0, even if the I/O thread is late compared to the master.
In other words, this column is useful only for
fast networks.
This time difference computation works even if the master
and slave do not have identical clock times, provided that
the difference, computed when the slave I/O thread starts,
remains constant from then on. Any changes—including
NTP updates—can lead to clock skews that can make
calculation of Seconds_Behind_Master
less
reliable.
In MySQL 5.6.9 and later, this field is
NULL
(undefined or unknown) if the slave
SQL thread is not running, or if the SQL thread has consumed
all of the relay log and the slave I/O thread is not
running. Previously, this field was NULL
if the slave SQL thread or the slave I/O thread was not
running or was not connected to the master. (Bug #12946333)
For example, if (prior to MySQL 5.6.9) the slave I/O thread
was running but was not connected to the master and was
sleeping for the number of seconds given by the
CHANGE MASTER TO
statement or
--master-connect-retry
option
(default 60) before reconnecting, the value was
NULL
. Now in such cases, the connection
to the master is not tested; instead, if the I/O thread is
running but the relay log is exhausted,
Seconds_Behind_Master
is set to 0.
The value of Seconds_Behind_Master
is
based on the timestamps stored in events, which are
preserved through replication. This means that if a master
M1 is itself a slave of M0, any event from M1's binary log
that originates from M0's binary log has M0's timestamp for
that event. This enables MySQL to replicate
TIMESTAMP
successfully.
However, the problem for
Seconds_Behind_Master
is that if M1 also
receives direct updates from clients, the
Seconds_Behind_Master
value randomly
fluctuates because sometimes the last event from M1
originates from M0 and sometimes is the result of a direct
update on M1.
When using a multi-threaded slave (MySQL 5.6.3 and later),
you should keep in mind that this value is based on
Exec_Master_Log_Pos
, and so may not
reflect the position of the most recently committed
transaction.
Last_IO_Errno
,
Last_IO_Error
The error number and error message of the last error that
caused the I/O thread to stop. An error number of 0 and
message of the empty string mean “no error.” If
the Last_IO_Error
value is not empty, the
error values also appear in the slave's error log.
Beginning with MySQL 5.6.1, I/O error information includes a
timestamp showing when the most recent I/O thread error
occurred. This timestamp uses the format YYMMDD
HH:MM:SS
.
Previous to MySQL 5.6.3, this timestamp was prefixed to the
error message text shown in the
Last_IO_Error
column. In MySQL 5.6.3 and
later, the timestamp appears instead in the
Last_SQL_Error_Timestamp
column.
Issuing RESET MASTER
or
RESET SLAVE
resets the values
shown in these columns.
Last_SQL_Errno
,
Last_SQL_Error
The error number and error message of the last error that
caused the SQL thread to stop. An error number of 0 and
message of the empty string mean “no error.” If
the Last_SQL_Error
value is not empty,
the error values also appear in the slave's error log.
Beginning with MySQL 5.6.1, SQL error information includes a
timestamp showing when the most recent SQL thread error
occurred. This timestamp uses the format YYMMDD
HH:MM:SS
.
Previous to MySQL 5.6.3, this timestamp was prefixed to the
error message text shown in the
Last_SQL_Error
column. In MySQL 5.6.3 and
later, the timestamp appears instead in the
Last_SQL_Error_Timestamp
column.
Issuing RESET MASTER
or
RESET SLAVE
resets the values
shown in these columns.
Replicate_Ignore_Server_Ids
In MySQL 5.6, you can tell a slave to ignore
events from 0 or more masters using the
IGNORE_SERVER_IDS
option in a
CHANGE MASTER TO
statement.
This is normally of interest only when using a circular or
other multi-master replication setup.
The message shown for
Replicate_Ignore_Server_Ids
consists of a
space-delimited list of one or more numbers, the first value
indicating the number of servers to be ignored; if not 0
(the default), this server-count value is followed by the
actual server IDs. For example, if a
CHANGE MASTER TO
statement
containing the IGNORE_SERVER_IDS =
(2,6,9)
option has been issued to tell a slave to
ignore masters having the server ID 2, 6, or 9, that
information appears as shown here:
Replicate_Ignore_Server_Ids: 3 2 6 9
Master_Server_Id
The server_id
value from
the master.
Master_UUID
The server_uuid
value from
the master. This field was added in MySQL 5.6.0.
Master_Info_File
The location of the master.info
file.
This field was added in MySQL 5.6.0.
SQL_Delay
The number of seconds that the slave must lag the master. This field was added in MySQL 5.6.0.
SQL_Remaining_Delay
When Slave_SQL_Running_State
is
Waiting until MASTER_DELAY seconds after master
executed event
, this field contains the number of
seconds left of the delay. At other times, this field is
NULL
. This field was added in MySQL
5.6.0.
Slave_SQL_Running_State
The state of the SQL thread (analogous to
Slave_IO_State
). The value is identical
to the State
value of the SQL thread as
displayed by SHOW
PROCESSLIST
. This field was added in MySQL 5.6.0.
Master_Retry_Count
The number of times the slave can attempt to reconnect to
the master in the event of a lost connection. This value can
be set using the MASTER_RETRY_COUNT
option in a CHANGE MASTER TO
statement (preferred) or the older
--master-retry-count
server
option (still supported for backward compatibility). This
field was added in MySQL 5.6.1.
Master_Bind
Shows the network interface that the slave is bound to, if
any, set using the MASTER_BIND
option for
the CHANGE MASTER TO
statement.
This column was added in MySQL 5.6.2.
Last_IO_Error_Timestamp
A timestamp in YYMMDD HH:MM:SS
format
that shows when the most recent I/O error took place.
This column was added in MySQL 5.6.3. Previously in MySQL
5.6, this timestamp was prepended to the error text shown in
Last_IO_Error
.
Last_SQL_Error_Timestamp
A timestamp in YYMMDD HH:MM:SS
format
that shows when the last SQL error occurred.
This column was added in MySQL 5.6.3. Previously in MySQL
5.6, this timestamp was prepended to the error text shown in
Last_SQL_Error
.
Retrieved_Gtid_Set
The set of global transaction IDs corresponding to all transactions received by this slave. Empty if GTIDs are not in use.
This column was added in MySQL 5.6.5.
Prior to MySQL 5.6.10, this value was printed using uppercase. In MySQL 5.6.10 and later, it is always printed using lowercase. (Bug #15869441)
Executed_Gtid_Set
The set of global transaction IDs for all received transactions subsequently executed on this slave. Empty if GTIDs are not in use.
This column was added in MySQL 5.6.5.
Prior to MySQL 5.6.10, this value was printed using uppercase. In MySQL 5.6.10 and later, it is always printed using lowercase. (Bug #15869441)
SHOW [GLOBAL | SESSION] STATUS [LIKE 'pattern
' | WHEREexpr
]
SHOW STATUS
provides server
status information. This information also can be obtained using
the mysqladmin extended-status command. The
LIKE
clause, if present, indicates
which variable names to match. The WHERE
clause can be given to select rows using more general
conditions, as discussed in Section 19.31, “Extensions to SHOW
Statements”.
This statement does not require any privilege. It requires only
the ability to connect to the server.
Partial output is shown here. The list of names and values may be different for your server. The meaning of each variable is given in Section 5.1.6, “Server Status Variables”.
mysql> SHOW STATUS;
+--------------------------+------------+
| Variable_name | Value |
+--------------------------+------------+
| Aborted_clients | 0 |
| Aborted_connects | 0 |
| Bytes_received | 155372598 |
| Bytes_sent | 1176560426 |
| Connections | 30023 |
| Created_tmp_disk_tables | 0 |
| Created_tmp_tables | 8340 |
| Created_tmp_files | 60 |
...
| Open_tables | 1 |
| Open_files | 2 |
| Open_streams | 0 |
| Opened_tables | 44600 |
| Questions | 2026873 |
...
| Table_locks_immediate | 1920382 |
| Table_locks_waited | 0 |
| Threads_cached | 0 |
| Threads_created | 30022 |
| Threads_connected | 1 |
| Threads_running | 1 |
| Uptime | 80380 |
+--------------------------+------------+
With a LIKE
clause, the statement
displays only rows for those variables with names that match the
pattern:
mysql> SHOW STATUS LIKE 'Key%';
+--------------------+----------+
| Variable_name | Value |
+--------------------+----------+
| Key_blocks_used | 14955 |
| Key_read_requests | 96854827 |
| Key_reads | 162040 |
| Key_write_requests | 7589728 |
| Key_writes | 3813196 |
+--------------------+----------+
With the GLOBAL
modifier,
SHOW STATUS
displays the status
values for all connections to MySQL. With
SESSION
, it displays the status values for
the current connection. If no modifier is present, the default
is SESSION
. LOCAL
is a
synonym for SESSION
.
Some status variables have only a global value. For these, you
get the same value for both GLOBAL
and
SESSION
. The scope for each status variable
is listed at Section 5.1.6, “Server Status Variables”.
Each invocation of the SHOW
STATUS
statement uses an internal temporary table and
increments the global
Created_tmp_tables
value.
SHOW TABLE STATUS [{FROM | IN}db_name
] [LIKE 'pattern
' | WHEREexpr
]
SHOW TABLE STATUS
works likes
SHOW TABLES
, but provides a lot
of information about each non-TEMPORARY
table. You can also get this list using the mysqlshow
--status db_name
command.
The LIKE
clause, if present,
indicates which table names to match. The
WHERE
clause can be given to select rows
using more general conditions, as discussed in
Section 19.31, “Extensions to SHOW
Statements”.
This statement also displays information about views.
SHOW TABLE STATUS
returns the
following fields:
Name
The name of the table.
Engine
The storage engine for the table. See Chapter 14, Storage Engines.
Version
The version number of the table's .frm
file.
Row_format
The row-storage format (Fixed
,
Dynamic
, Compressed
,
Redundant
, Compact
).
For MyISAM
tables,
(Dynamic
corresponds to what
myisamchk -dvv reports as
Packed
. The format of
InnoDB
tables is reported as
Redundant
or Compact
.
For the Barracuda
file format of the
InnoDB Plugin
, the format may be
Compressed
or Dynamic
.
Rows
The number of rows. Some storage engines, such as
MyISAM
, store the exact count. For other
storage engines, such as InnoDB
, this
value is an approximation, and may vary from the actual
value by as much as 40 to 50%. In such cases, use
SELECT COUNT(*)
to obtain an accurate
count.
The Rows
value is NULL
for tables in the INFORMATION_SCHEMA
database.
Avg_row_length
The average row length.
Data_length
The length of the data file.
Max_data_length
The maximum length of the data file. This is the total number of bytes of data that can be stored in the table, given the data pointer size used.
Index_length
The length of the index file.
Data_free
The number of allocated but unused bytes.
This information is also shown for InnoDB
tables (previously, it was in the Comment
value). InnoDB
tables report the free
space of the tablespace to which the table belongs. For a
table located in the shared tablespace, this is the free
space of the shared tablespace. If you are using multiple
tablespaces and the table has its own tablespace, the free
space is for only that table. Free space means the number of
completely free 1MB extents minus a safety margin. Even if
free space displays as 0, it may be possible to insert rows
as long as new extents need not be allocated.
For partitioned tables, this value is only an estimate and
may not be absolutely correct. A more accurate method of
obtaining this information in such cases is to query the
INFORMATION_SCHEMA.PARTITIONS
table, as
shown in this example:
SELECT SUM(DATA_FREE) FROM INFORMATION_SCHEMA.PARTITIONS WHERE TABLE_SCHEMA = 'mydb' AND TABLE_NAME = 'mytable';
For more information, see
Section 19.14, “The INFORMATION_SCHEMA PARTITIONS
Table”.
Auto_increment
The next AUTO_INCREMENT
value.
Create_time
When the table was created.
Update_time
When the data file was last updated. For some storage
engines, this value is NULL
. For example,
InnoDB
stores multiple tables in its
system
tablespace and the data file timestamp does not
apply. Even with
file-per-table
mode with each InnoDB
table in a separate
.ibd
file,
change
buffering can delay the write to the data file, so
the file modification time is different from the time of the
last insert, update, or delete. For
MyISAM
, the data file timestamp is used;
however, on Windows the timestamp is not updated by updates
so the value is inaccurate.
Check_time
When the table was last checked. Not all storage engines
update this time, in which case the value is always
NULL
.
Collation
The table's character set and collation.
Checksum
The live checksum value (if any).
Create_options
Extra options used with CREATE
TABLE
. The original options supplied when
CREATE TABLE
is called are
retained and the options reported here may differ from the
active table settings and options.
Comment
The comment used when creating the table (or information as to why MySQL could not access the table information).
For MEMORY
tables, the
Data_length
,
Max_data_length
, and
Index_length
values approximate the actual
amount of allocated memory. The allocation algorithm reserves
memory in large amounts to reduce the number of allocation
operations.
For views, all the fields displayed by SHOW
TABLE STATUS
are NULL
except that
Name
indicates the view name and
Comment
says view
.
SHOW [FULL] TABLES [{FROM | IN}db_name
] [LIKE 'pattern
' | WHEREexpr
]
SHOW TABLES
lists the
non-TEMPORARY
tables in a given database. You
can also get this list using the mysqlshow
db_name
command. The
LIKE
clause, if present, indicates
which table names to match. The WHERE
clause
can be given to select rows using more general conditions, as
discussed in Section 19.31, “Extensions to SHOW
Statements”.
This statement also lists any views in the database. The
FULL
modifier is supported such that
SHOW FULL
TABLES
displays a second output column. Values for the
second column are BASE TABLE
for a table and
VIEW
for a view.
If you have no privileges for a base table or view, it does not
show up in the output from SHOW
TABLES
or mysqlshow db_name.
SHOW TRIGGERS [{FROM | IN}db_name
] [LIKE 'pattern
' | WHEREexpr
]
SHOW TRIGGERS
lists the triggers
currently defined for tables in a database (the default database
unless a FROM
clause is given). This
statement returns results only for databases and tables for
which you have the TRIGGER
privilege. The LIKE
clause, if
present, indicates which table names to match and causes the
statement to display triggers for those tables. The
WHERE
clause can be given to select rows
using more general conditions, as discussed in
Section 19.31, “Extensions to SHOW
Statements”.
For the trigger ins_sum
as defined in
Section 18.3, “Using Triggers”, the output of this statement is as
shown here:
mysql> SHOW TRIGGERS LIKE 'acc%'\G
*************************** 1. row ***************************
Trigger: ins_sum
Event: INSERT
Table: account
Statement: SET @sum = @sum + NEW.amount
Timing: BEFORE
Created: NULL
sql_mode:
Definer: myname@localhost
character_set_client: latin1
collation_connection: latin1_swedish_ci
Database Collation: latin1_swedish_ci
character_set_client
is the
session value of the
character_set_client
system
variable when the trigger was created.
collation_connection
is the
session value of the
collation_connection
system
variable when the trigger was created. Database
Collation
is the collation of the database with which
the trigger is associated.
When using a LIKE
clause with
SHOW TRIGGERS
, the expression
to be matched (expr
) is compared
with the name of the table on which the trigger is declared,
and not with the name of the trigger:
mysql> SHOW TRIGGERS LIKE 'ins%';
Empty set (0.01 sec)
A brief explanation of the columns in the output of this statement is shown here:
Trigger
The name of the trigger.
Event
The event that causes trigger activation: one of
'INSERT'
, 'UPDATE'
, or
'DELETE'
.
Table
The table for which the trigger is defined.
Statement
The statement to be executed when the trigger is activated.
This is the same as the text shown in the
ACTION_STATEMENT
column of
INFORMATION_SCHEMA.TRIGGERS
.
Timing
One of the two values 'BEFORE'
or
'AFTER'
.
Created
Currently, the value of this column is always
NULL
.
The SQL mode in effect when the trigger executes.
Definer
The account that created the trigger.
See also Section 19.27, “The INFORMATION_SCHEMA TRIGGERS
Table”.
SHOW [GLOBAL | SESSION] VARIABLES [LIKE 'pattern
' | WHEREexpr
]
SHOW VARIABLES
shows the values
of MySQL system variables. This information also can be obtained
using the mysqladmin variables command. The
LIKE
clause, if present, indicates
which variable names to match. The WHERE
clause can be given to select rows using more general
conditions, as discussed in Section 19.31, “Extensions to SHOW
Statements”.
This statement does not require any privilege. It requires only
the ability to connect to the server.
With the GLOBAL
modifier,
SHOW VARIABLES
displays the
values that are used for new connections to MySQL. In MySQL
5.6, if a variable has no global value, no value is
displayed. With SESSION
,
SHOW VARIABLES
displays the
values that are in effect for the current connection. If no
modifier is present, the default is SESSION
.
LOCAL
is a synonym for
SESSION
.
SHOW VARIABLES
is subject to a
version-dependent display-width limit. For variables with very
long values that are not completely displayed, use
SELECT
as a workaround. For
example:
SELECT @@GLOBAL.innodb_data_file_path;
If the default system variable values are unsuitable, you can
set them using command options when mysqld
starts, and most can be changed at runtime with the
SET
statement. See Section 5.1.5, “Using System Variables”, and
Section 13.7.4, “SET
Syntax”.
Partial output is shown here. The list of names and values may be different for your server. Section 5.1.4, “Server System Variables”, describes the meaning of each variable, and Section 8.11.2, “Tuning Server Parameters”, provides information about tuning them.
mysql> SHOW VARIABLES;
+-----------------------------------------+---------------------------+
| Variable_name | Value |
+-----------------------------------------+---------------------------+
| auto_increment_increment | 1 |
| auto_increment_offset | 1 |
| autocommit | ON |
| automatic_sp_privileges | ON |
| back_log | 50 |
| basedir | /home/jon/bin/mysql-5.5 |
| big_tables | OFF |
| binlog_cache_size | 32768 |
| binlog_direct_non_transactional_updates | OFF |
| binlog_format | STATEMENT |
| binlog_stmt_cache_size | 32768 |
| bulk_insert_buffer_size | 8388608 |
...
| max_allowed_packet | 1048576 |
| max_binlog_cache_size | 18446744073709547520 |
| max_binlog_size | 1073741824 |
| max_binlog_stmt_cache_size | 18446744073709547520 |
| max_connect_errors | 10 |
| max_connections | 151 |
| max_delayed_threads | 20 |
| max_error_count | 64 |
| max_heap_table_size | 16777216 |
| max_insert_delayed_threads | 20 |
| max_join_size | 18446744073709551615 |
...
| thread_handling | one-thread-per-connection |
| thread_stack | 262144 |
| time_format | %H:%i:%s |
| time_zone | SYSTEM |
| timed_mutexes | OFF |
| timestamp | 1316689732 |
| tmp_table_size | 16777216 |
| tmpdir | /tmp |
| transaction_alloc_block_size | 8192 |
| transaction_prealloc_size | 4096 |
| tx_isolation | REPEATABLE-READ |
| unique_checks | ON |
| updatable_views_with_limit | YES |
| version | 5.5.17-log |
| version_comment | Source distribution |
| version_compile_machine | x86_64 |
| version_compile_os | Linux |
| wait_timeout | 28800 |
| warning_count | 0 |
+-----------------------------------------+---------------------------+
With a LIKE
clause, the statement
displays only rows for those variables with names that match the
pattern. To obtain the row for a specific variable, use a
LIKE
clause as shown:
SHOW VARIABLES LIKE 'max_join_size'; SHOW SESSION VARIABLES LIKE 'max_join_size';
To get a list of variables whose name match a pattern, use the
“%
” wildcard character in a
LIKE
clause:
SHOW VARIABLES LIKE '%size%'; SHOW GLOBAL VARIABLES LIKE '%size%';
Wildcard characters can be used in any position within the
pattern to be matched. Strictly speaking, because
“_
” is a wildcard that matches
any single character, you should escape it as
“\_
” to match it literally. In
practice, this is rarely necessary.
SHOW WARNINGS [LIMIT [offset
,]row_count
] SHOW COUNT(*) WARNINGS
SHOW WARNINGS
shows information
about the conditions (errors, warnings, and notes) that resulted
from the last statement in the current session that generated
messages. It shows nothing if the last statement used a table
and generated no messages. (That is, a statement that uses a
table but generates no messages clears the message list.)
Statements that do not use tables and do not generate messages
have no effect on the message list.
Warnings are generated for DML statements such as
INSERT
,
UPDATE
, and
LOAD DATA
INFILE
as well as DDL statements such as
CREATE TABLE
and
ALTER TABLE
.
SHOW WARNINGS
is also used
following EXPLAIN EXTENDED
, to
display the extra information generated by
EXPLAIN
when the
EXTENDED
keyword is used. See
Section 8.8.3, “EXPLAIN EXTENDED
Output Format”.
The LIMIT
clause has the same syntax as for
the SELECT
statement. See
Section 13.2.9, “SELECT
Syntax”.
A related statement, SHOW ERRORS
,
shows only the error conditions (it excludes warnings and
notes). See Section 13.7.5.18, “SHOW ERRORS
Syntax”.
GET DIAGNOSTICS
can be used to
examine information for individual conditions. See
Section 13.6.7.3, “GET DIAGNOSTICS
Syntax”.
The SHOW COUNT(*)
WARNINGS
statement displays the total number of
errors, warnings, and notes. You can also retrieve this number
from the warning_count
system
variable:
SHOW COUNT(*) WARNINGS; SELECT @@warning_count;
Here is a simple example that shows a syntax warning for
CREATE TABLE
and conversion
warnings for INSERT
:
mysql>CREATE TABLE t1
>(a TINYINT NOT NULL, b CHAR(4))
>TYPE=MyISAM;
Query OK, 0 rows affected, 1 warning (0.00 sec) mysql>SHOW WARNINGS\G
*************************** 1. row *************************** Level: Warning Code: 1287 Message: 'TYPE=storage_engine' is deprecated, use 'ENGINE=storage_engine' instead 1 row in set (0.00 sec) mysql>INSERT INTO t1 VALUES(10,'mysql'),
->(NULL,'test'), (300,'Open Source');
Query OK, 3 rows affected, 4 warnings (0.01 sec) Records: 3 Duplicates: 0 Warnings: 4 mysql>SHOW WARNINGS\G
*************************** 1. row *************************** Level: Warning Code: 1265 Message: Data truncated for column 'b' at row 1 *************************** 2. row *************************** Level: Warning Code: 1263 Message: Data truncated, NULL supplied to NOT NULL column 'a' at row 2 *************************** 3. row *************************** Level: Warning Code: 1264 Message: Data truncated, out of range for column 'a' at row 3 *************************** 4. row *************************** Level: Warning Code: 1265 Message: Data truncated for column 'b' at row 3 4 rows in set (0.00 sec)
The max_error_count
system
variable controls the maximum number of error, warning, and note
messages for which the server stores information, and thus the
number of messages that SHOW
WARNINGS
displays. By default,
max_error_count
is 64. To
change the number of messages the server can store, change the
value of max_error_count
.
The value of warning_count
is
not limited by max_error_count
if the number of messages generated exceeds
max_error_count
.
In the following example, the ALTER
TABLE
statement produces three warning messages (as
shown by the value of
warning_count
), but only one is
stored because max_error_count
has been set to 1:
mysql>SHOW VARIABLES LIKE 'max_error_count';
+-----------------+-------+ | Variable_name | Value | +-----------------+-------+ | max_error_count | 64 | +-----------------+-------+ 1 row in set (0.00 sec) mysql>SET max_error_count=1;
Query OK, 0 rows affected (0.00 sec) mysql>ALTER TABLE t1 MODIFY b CHAR;
Query OK, 3 rows affected, 3 warnings (0.00 sec) Records: 3 Duplicates: 0 Warnings: 3 mysql>SELECT @@warning_count;
+-----------------+ | @@warning_count | +-----------------+ | 3 | +-----------------+ 1 row in set (0.01 sec) mysql>SHOW WARNINGS;
+---------+------+----------------------------------------+ | Level | Code | Message | +---------+------+----------------------------------------+ | Warning | 1263 | Data truncated for column 'b' at row 1 | +---------+------+----------------------------------------+ 1 row in set (0.00 sec)
To disable warnings, set
max_error_count
to 0. In this
case, warning_count
still
indicates how many warnings have occurred, but none of the
messages are stored.
The following DROP TABLE
statement results in a note:
mysql>DROP TABLE IF EXISTS test.no_such_table;
Query OK, 0 rows affected, 1 warning (0.01 sec) mysql>SHOW WARNINGS;
+-------+------+------------------------------------+ | Level | Code | Message | +-------+------+------------------------------------+ | Note | 1051 | Unknown table 'test.no_such_table' | +-------+------+------------------------------------+
If the sql_notes
system
variable is set to 0, notes do not increment
warning_count
and the server
does not record them.
The MySQL server sends back a count indicating the total number
of errors, warnings, and notes resulting from the last
statement. From the C API, this value can be obtained by calling
mysql_warning_count()
. See
Section 21.9.3.73, “mysql_warning_count()
”.
BINLOG 'str
'
BINLOG
is an internal-use
statement. It is generated by the mysqlbinlog
program as the printable representation of certain events in
binary log files. (See Section 4.6.8, “mysqlbinlog — Utility for Processing Binary Log Files”.) The
'
value is a
base 64-encoded string the that server decodes to determine the
data change indicated by the corresponding event. This statement
requires the str
'SUPER
privilege.
As of MySQL 5.6, this statement can execute only format description events and row events. Previously it could execute all types of events.
CACHE INDEXtbl_index_list
[,tbl_index_list
] ... [PARTITION (partition_list
| ALL)] INkey_cache_name
tbl_index_list
:tbl_name
[[INDEX|KEY] (index_name
[,index_name
] ...)]partition_list
:partition_name
[,partition_name
][, ...]
The CACHE INDEX
statement assigns
table indexes to a specific key cache. It is used only for
MyISAM
tables. After the indexes have been
assigned, they can be preloaded into the cache if desired with
LOAD INDEX INTO
CACHE
.
The following statement assigns indexes from the tables
t1
, t2
, and
t3
to the key cache named
hot_cache
:
mysql> CACHE INDEX t1, t2, t3 IN hot_cache;
+---------+--------------------+----------+----------+
| Table | Op | Msg_type | Msg_text |
+---------+--------------------+----------+----------+
| test.t1 | assign_to_keycache | status | OK |
| test.t2 | assign_to_keycache | status | OK |
| test.t3 | assign_to_keycache | status | OK |
+---------+--------------------+----------+----------+
The syntax of CACHE INDEX
enables
you to specify that only particular indexes from a table should
be assigned to the cache. The current implementation assigns all
the table's indexes to the cache, so there is no reason to
specify anything other than the table name.
The key cache referred to in a CACHE
INDEX
statement can be created by setting its size
with a parameter setting statement or in the server parameter
settings. For example:
mysql> SET GLOBAL keycache1.key_buffer_size=128*1024;
Key cache parameters can be accessed as members of a structured system variable. See Section 5.1.5.1, “Structured System Variables”.
A key cache must exist before you can assign indexes to it:
mysql> CACHE INDEX t1 IN non_existent_cache;
ERROR 1284 (HY000): Unknown key cache 'non_existent_cache'
By default, table indexes are assigned to the main (default) key cache created at the server startup. When a key cache is destroyed, all indexes assigned to it become assigned to the default key cache again.
Index assignment affects the server globally: If one client assigns an index to a given cache, this cache is used for all queries involving the index, no matter which client issues the queries.
In MySQL 5.6, this statement is also supported for
partitioned MyISAM
tables. You can assign one
or more indexes for one, several, or all partitions to a given
key cache. For example, you can do the following:
CREATE TABLE pt (c1 INT, c2 VARCHAR(50), INDEX i(c1)) PARTITION BY HASH(c1) PARTITIONS 4; SET GLOBAL kc_fast.key_buffer_size = 128 * 1024; SET GLOBAL kc_slow.key_buffer_size = 128 * 1024; CACHE INDEX pt PARTITION (p0) IN kc_fast; CACHE INDEX pt PARTITION (p1, p3) IN kc_slow;
The previous set of statements performs the following actions:
Creates a partitioned table with 4 partitions; these
partitions are automatically named p0
,
..., p3
; this table has an index named
i
on column c1
.
Creates 2 key caches named kc_fast
and
kc_slow
Assigns the index for partition p0
to the
kc_fast
key cache and the index for
partitions p1
and p3
to the kc_slow
key cache; the index for
the remaining partition (p2
) uses the
server's default key cache.
If you wish instead to assign the indexes for all partitions in
table pt
to a single key cache named
kc_all
, you can use either one of the
following 2 statements:
CACHE INDEX pt PARTITION (ALL) IN kc_all; CACHE INDEX pt IN kc_all;
The two statements just shown are equivalent, and issuing either
one of them has exactly the same effect. In other words, if you
wish to assign indexes for all partitions of a partitioned table
to the same key cache, then the PARTITION
(ALL)
clause is optional.
When assigning indexes for multiple partitions to a key cache, the partitions do not have to be contiguous, and you are not required to list their names in any particular order. Indexes for any partitions that are not explicitly assigned to a key cache automatically use the server's default key cache.
In MySQL 5.6, index preloading is also supported
for partitioned MyISAM
tables. For more
information, see Section 13.7.6.5, “LOAD INDEX INTO
CACHE
Syntax”.
FLUSH [NO_WRITE_TO_BINLOG | LOCAL]flush_option
[,flush_option
] ...
The FLUSH
statement has several
variant forms that clear or reload various internal caches,
flush tables, or acquire locks. To execute
FLUSH
, you must have the
RELOAD
privilege. Specific flush
options might require additional privileges, as described later.
By default, the server writes
FLUSH
statements to the binary
log so that they replicate to replication slaves. To suppress
logging, use the optional NO_WRITE_TO_BINLOG
keyword or its alias LOCAL
.
FLUSH LOGS
,
FLUSH TABLES WITH READ
LOCK
(with or without a table list), and
FLUSH TABLES
are not written to the binary log in any case because they
would cause problems if replicated to a slave.
tbl_name
... FOR EXPORT
The FLUSH
statement causes an
implicit commit. See Section 13.3.3, “Statements That Cause an Implicit Commit”.
The RESET
statement is similar to
FLUSH
. See
Section 13.7.6.6, “RESET
Syntax”, for information about using the
RESET
statement with replication.
flush_option
can be any of the
following items.
DES_KEY_FILE
Reloads the DES keys from the file that was specified with
the --des-key-file
option at
server startup time.
HOSTS
Empties the host cache. You should flush the host cache if
some of your hosts change IP address or if the error message
Host '
occurs. (See
Section C.5.2.6, “host_name
' is
blockedHost '
”.) When more than
host_name
' is
blockedmax_connect_errors
errors
occur successively for a given host while connecting to the
MySQL server, MySQL assumes that something is wrong and
blocks the host from further connection requests. Flushing
the host cache enables further connection attempts from the
host. The default value of
max_connect_errors
is 10.
To avoid this error message, start the server with
max_connect_errors
set to a
large value.
[
log_type
]
LOGS
With no log_type
option,
FLUSH LOGS
closes and reopens all log files. If binary logging is
enabled, the sequence number of the binary log file is
incremented by one relative to the previous file. On Unix,
this is the same thing as sending a
SIGHUP
signal to the
mysqld server (except on some Mac OS X
10.3 versions where mysqld ignores
SIGHUP
and SIGQUIT
).
With a log_type
option, only the
specified log type is flushed. These
log_type
options are permitted:
BINARY
closes and reopens the binary
log files.
ENGINE
closes and reopens any
flushable logs for installed storage engines. Currently,
this causes InnoDB
to flush
its logs to disk and perform a checkpoint.
ERROR
closes and reopens the error
log file.
GENERAL
closes and reopens the
general query log file.
RELAY
closes and reopens the relay
log files.
SLOW
closes and reopens the slow
query log file.
PRIVILEGES
Reloads the privileges from the grant tables in the
mysql
database. On Unix, this also occurs
if the server receives a SIGHUP
signal.
The server caches information in memory as a result of
GRANT
,
CREATE USER
,
CREATE SERVER
, and
INSTALL PLUGIN
statements.
This memory is not released by the corresponding
REVOKE
,
DROP USER
,
DROP SERVER
, and
UNINSTALL PLUGIN
statements,
so for a server that executes many instances of the
statements that cause caching, there will be an increase in
memory use. This cached memory can be freed with
FLUSH
PRIVILEGES
.
QUERY CACHE
Defragment the query cache to better utilize its memory.
FLUSH QUERY
CACHE
does not remove any queries from the cache,
unlike FLUSH
TABLES
or RESET QUERY CACHE
.
STATUS
This option adds the current thread's session status
variable values to the global values and resets the session
values to zero. Some global variables may be reset to zero
as well. It also resets the counters for key caches (default
and named) to zero and sets
Max_used_connections
to
the current number of open connections. This is something
you should use only when debugging a query. See
Section 1.7, “How to Report Bugs or Problems”.
TABLES
FLUSH
TABLES
flushes tables, and, depending on the
variant used, acquires locks. The permitted syntax is
discussed later in this section.
USER_RESOURCES
Resets all per-hour user resources to zero. This enables
clients that have reached their hourly connection, query, or
update limits to resume activity immediately.
FLUSH
USER_RESOURCES
does not apply to the limit on
maximum simultaneous connections. See
Section 6.3.4, “Setting Account Resource Limits”.
The mysqladmin utility provides a
command-line interface to some flush operations, using commands
such as flush-hosts
,
flush-logs
,
flush-privileges
,
flush-status
, and
flush-tables
. See
Section 4.5.2, “mysqladmin — Client for Administering a MySQL Server”.
It is not possible to issue
FLUSH
statements within stored
functions or triggers. However, you may use
FLUSH
in stored procedures, so
long as these are not called from stored functions or
triggers. See Section E.1, “Restrictions on Stored Programs”.
FLUSH TABLES
Syntax
FLUSH TABLES
has several forms, described following. If any variant of the
TABLES
option is used in a
FLUSH
statement, it must be the
only option used. FLUSH
TABLE
is a synonym for
FLUSH TABLES
.
FLUSH TABLES
Closes all open tables, forces all tables in use to be
closed, and flushes the query cache.
FLUSH
TABLES
also removes all query results from the
query cache, like the RESET QUERY CACHE
statement.
In MySQL 5.6,
FLUSH
TABLES
is not permitted when there is an active
LOCK TABLES ...
READ
. To flush and lock tables, use
FLUSH TABLES
instead.
tbl_name
... WITH READ
LOCK
FLUSH TABLES
tbl_name
[,
tbl_name
] ...
With a list of one or more comma-separated table names, this
statement is like
FLUSH
TABLES
with no names except that the server
flushes only the named tables. No error occurs if a named
table does not exist.
FLUSH TABLES WITH READ LOCK
Closes all open tables and locks all tables for all
databases with a global read lock. This is a very convenient
way to get backups if you have a file system such as Veritas
or ZFS that can take snapshots in time. Use
UNLOCK
TABLES
to release the lock.
FLUSH TABLES WITH
READ LOCK
acquires a global read lock and not
table locks, so it is not subject to the same behavior as
LOCK TABLES
and
UNLOCK
TABLES
with respect to table locking and implicit
commits:
UNLOCK
TABLES
implicitly commits any active
transaction only if any tables currently have been
locked with LOCK TABLES
.
The commit does not occur for
UNLOCK
TABLES
following
FLUSH TABLES WITH
READ LOCK
because the latter statement does
not acquire table locks.
Beginning a transaction causes table locks acquired with
LOCK TABLES
to be
released, as though you had executed
UNLOCK
TABLES
. Beginning a transaction does not
release a global read lock acquired with
FLUSH TABLES WITH
READ LOCK
.
FLUSH TABLES WITH
READ LOCK
does not prevent the server from
inserting rows into the log tables (see
Section 5.2.1, “Selecting General Query and Slow Query Log Output Destinations”).
FLUSH TABLES
tbl_name
[,
tbl_name
] ... WITH READ
LOCK
This statement flushes and acquires read locks for the named
tables. The statement first acquires exclusive metadata
locks for the tables, so it waits for transactions that have
those tables open to complete. Then the statement flushes
the tables from the table cache, reopens the tables,
acquires table locks (like
LOCK TABLES ...
READ
), and downgrades the metadata locks from
exclusive to shared. After the statement acquires locks and
downgrades the metadata locks, other sessions can read but
not modify the tables.
Because this statement acquires table locks, you must have
the LOCK TABLES
privilege for
each table, in addition to the
RELOAD
privilege that is
required to use any FLUSH
statement.
This statement applies only to existing base tables. If a
name refers to a base table, that table is used. If it
refers to a TEMPORARY
table, it is
ignored. If a name applies to a view, an
ER_WRONG_OBJECT
error
occurs. Otherwise, an
ER_NO_SUCH_TABLE
error
occurs.
Use UNLOCK
TABLES
to release the locks,
LOCK TABLES
to release the
locks and acquire other locks, or
START TRANSACTION
to
release the locks and begin a new transaction.
This variant of FLUSH
enables tables to
be flushed and locked in a single operation. It provides a
workaround for the restriction in MySQL 5.6
that FLUSH
TABLES
is not permitted when there is an active
LOCK TABLES ...
READ
.
This statement does not perform an implicit
UNLOCK
TABLES
, so an error results if you use the
statement while there is any active
LOCK TABLES
or use it a
second time without first releasing the locks acquired.
If a flushed table was opened with
HANDLER
, the handler is
implicitly flushed and loses its position.
FLUSH TABLES
tbl_name
[,
tbl_name
] ... FOR
EXPORT
This FLUSH TABLES
variant applies to
InnoDB
tables. It is available as of
MySQL 5.6.6. The statement ensures that changes to the named
tables have been flushed to disk so that binary table copies
can be made while the server is running.
The statement works like this:
It acquires shared metadata locks for the named tables. The statement blocks as long as other sessions have active transactions that have modified those tables or hold table locks for them. When the locks have been acquired, the statement blocks transactions that attempt to update the tables while permitting read-only operations to continue.
It checks whether all storage engines for the tables
support FOR EXPORT
. If any do not, an
ER_ILLEGAL_HA
error
occurs and the statement fails.
The statement notifies the storage engine for each table to make the table ready for export. The storage engine must ensure that any pending changes are written to disk.
The statement puts the session in lock-tables mode so
that the metadata locks acquired earlier are not
released when the FOR EXPORT
statement completes.
Because this statement acquires table locks, you must have
the LOCK TABLES
privilege for
each table, in addition to the
RELOAD
privilege that is
required to use any FLUSH
statement.
This statement applies only to existing base tables. If a
name refers to a base table, that table is used. If it
refers to a TEMPORARY
table, it is
ignored. If a name applies to a view, an
ER_WRONG_OBJECT
error
occurs. Otherwise, an
ER_NO_SUCH_TABLE
error
occurs.
InnoDB
supports FOR
EXPORT
for tables that have their own
.ibd file file (that
is, tables that were created with the
innodb_file_per_table
setting enabled). InnoDB
ensures when
notified by the FOR EXPORT
statement that
any changes have been flushed to disk. This permits a binary
copy of table contents to be made while the FOR
EXPORT
statement is in effect because the
.ibd
file is transaction consistent and
can be copied while the server is running. FOR
EXPORT
does not apply to InnoDB
system tablespace files, or to InnoDB
tables that have any FULLTEXT
indexes.
When notified by FOR EXPORT
,
InnoDB
writes to disk certain kinds of
data that is normally held in memory or in separate disk
buffers outside the tablespace files. For each table,
InnoDB
also produces a file named
in the same database directory as the table. The
table_name
.cfg.cfg
file contains metadata needed to
reimport the tablespace files later, into the same or
different server.
When the FOR EXPORT
statement completes,
InnoDB
will have flushed all
dirty pages to the
table data files. Any
change buffer
entries are merged prior to flushing. At this point, the
tables are locked and quiescent: The tables are in a
transactionally consistent state on disk and you can copy
the .ibd
tablespace files along with
the corresponding .cfg
files to get a
consistent snapshot of those tables.
For the procedure to reimport the copied table data into a MySQL instance, see Section 14.2.5.2.33, “Improved Tablespace Management”.
After you are done with the tables, use
UNLOCK
TABLES
to release the locks,
LOCK TABLES
to release the
locks and acquire other locks, or
START TRANSACTION
to
release the locks and begin a new transaction.
While any of these statements is in effect within the
session, attempts to use
FLUSH TABLES ... FOR
EXPORT
produce an error:
FLUSH TABLES ... WITH READ LOCK FLUSH TABLES ... FOR EXPORT LOCK TABLES ... READ LOCK TABLES ... WRITE
While FLUSH TABLES
... FOR EXPORT
is in effect within the session,
attempts to use any of these statements produce an error:
FLUSH TABLES WITH READ LOCK FLUSH TABLES ... WITH READ LOCK FLUSH TABLES ... FOR EXPORT
KILL [CONNECTION | QUERY] thread_id
Each connection to mysqld runs in a separate
thread. You can see which threads are running with the
SHOW PROCESSLIST
statement and
kill a thread with the KILL
statement.
thread_id
KILL
permits an optional
CONNECTION
or QUERY
modifier:
KILL
CONNECTION
is the same as
KILL
with no modifier: It
terminates the connection associated with the given
thread_id
.
KILL QUERY
terminates the statement that the connection is currently
executing, but leaves the connection itself intact.
If you have the PROCESS
privilege, you can see all threads. If you have the
SUPER
privilege, you can kill all
threads and statements. Otherwise, you can see and kill only
your own threads and statements.
You can also use the mysqladmin processlist and mysqladmin kill commands to examine and kill threads.
You cannot use KILL
with the
Embedded MySQL Server library because the embedded server
merely runs inside the threads of the host application. It
does not create any connection threads of its own.
When you use KILL
, a
thread-specific kill flag is set for the thread. In most cases,
it might take some time for the thread to die because the kill
flag is checked only at specific intervals:
In SELECT
, ORDER
BY
and GROUP BY
loops, the flag
is checked after reading a block of rows. If the kill flag
is set, the statement is aborted.
During ALTER TABLE
, the kill
flag is checked before each block of rows are read from the
original table. If the kill flag was set, the statement is
aborted and the temporary table is deleted.
During UPDATE
or
DELETE
operations, the kill
flag is checked after each block read and after each updated
or deleted row. If the kill flag is set, the statement is
aborted. Note that if you are not using transactions, the
changes are not rolled back.
GET_LOCK()
aborts and returns
NULL
.
An INSERT DELAYED
thread
quickly flushes (inserts) all rows it has in memory and then
terminates.
If the thread is in the table lock handler (state:
Locked
), the table lock is quickly
aborted.
If the thread is waiting for free disk space in a write call, the write is aborted with a “disk full” error message.
Killing a REPAIR TABLE
or
OPTIMIZE TABLE
operation on
a MyISAM
table results in a table that
is corrupted and unusable. Any reads or writes to such a
table fail until you optimize or repair it again (without
interruption).
LOAD INDEX INTO CACHEtbl_index_list
[,tbl_index_list
] ...tbl_index_list
:tbl_name
[PARTITION (partition_list
| ALL)] [[INDEX|KEY] (index_name
[,index_name
] ...)] [IGNORE LEAVES]partition_list
:partition_name
[,partition_name
][, ...]
The LOAD INDEX INTO
CACHE
statement preloads a table index into the key
cache to which it has been assigned by an explicit
CACHE INDEX
statement, or into
the default key cache otherwise.
LOAD INDEX INTO
CACHE
is used only for MyISAM
tables. In MySQL 5.6, it is also supported for
partitioned MyISAM
tables; in addition,
indexes on partitioned tables can be preloaded for one, several,
or all partitions.
The IGNORE LEAVES
modifier causes only blocks
for the nonleaf nodes of the index to be preloaded.
IGNORE LEAVES
is also supported for
partitioned MyISAM
tables.
The following statement preloads nodes (index blocks) of indexes
for the tables t1
and t2
:
mysql> LOAD INDEX INTO CACHE t1, t2 IGNORE LEAVES;
+---------+--------------+----------+----------+
| Table | Op | Msg_type | Msg_text |
+---------+--------------+----------+----------+
| test.t1 | preload_keys | status | OK |
| test.t2 | preload_keys | status | OK |
+---------+--------------+----------+----------+
This statement preloads all index blocks from
t1
. It preloads only blocks for the nonleaf
nodes from t2
.
The syntax of LOAD
INDEX INTO CACHE
enables you to specify that only
particular indexes from a table should be preloaded. The current
implementation preloads all the table's indexes into the cache,
so there is no reason to specify anything other than the table
name.
In MySQL 5.6, it is possible to preload indexes on
specific partitions of partitioned MyISAM
tables. For example, of the following 2 statements, the first
preloads indexes for partition p0
of a
partitioned table pt
, while the second
preloads the indexes for partitions p1
and
p3
of the same table:
LOAD INDEX INTO CACHE pt PARTITION (p0); LOAD INDEX INTO CACHE pt PARTITION (p1, p3);
To preload the indexes for all partitions in table
pt
, you can use either one of the following 2
statements:
LOAD INDEX INTO CACHE pt PARTITION (ALL); LOAD INDEX INTO CACHE pt;
The two statements just shown are equivalent, and issuing either
one of them has exactly the same effect. In other words, if you
wish to preload indexes for all partitions of a partitioned
table, then the PARTITION (ALL)
clause is
optional.
When preloading indexes for multiple partitions, the partitions do not have to be contiguous, and you are not required to list their names in any particular order.
LOAD INDEX INTO
CACHE ... IGNORE LEAVES
fails unless all indexes in a
table have the same block size. You can determine index block
sizes for a table by using myisamchk -dv and
checking the Blocksize
column.
RESETreset_option
[,reset_option
] ...
The RESET
statement is used to
clear the state of various server operations. You must have the
RELOAD
privilege to execute
RESET
.
RESET
acts as a stronger version
of the FLUSH
statement. See
Section 13.7.6.3, “FLUSH
Syntax”.
The RESET
statement causes an
implicit commit. See Section 13.3.3, “Statements That Cause an Implicit Commit”.
reset_option
can be any of the
following:
MASTER
Deletes all binary logs listed in the index file, resets the binary log index file to be empty, and creates a new binary log file.
QUERY CACHE
Removes all query results from the query cache.
SLAVE
Makes the slave forget its replication position in the master binary logs. Also resets the relay log by deleting any existing relay log files and beginning a new one.
{DESCRIBE | DESC}tbl_name
[col_name
|wild
]
DESCRIBE
provides information about
the columns in a table. It is a shortcut for SHOW COLUMNS
FROM
. These statements also display information for
views. (See Section 13.7.5.6, “SHOW COLUMNS
Syntax”.)
col_name
can be a column name, or a
string containing the SQL “%
” and
“_
” wildcard characters to obtain
output only for the columns with names matching the string. There
is no need to enclose the string within quotation marks unless it
contains spaces or other special characters.
mysql> DESCRIBE City;
+------------+----------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------+----------+------+-----+---------+----------------+
| Id | int(11) | NO | PRI | NULL | auto_increment |
| Name | char(35) | NO | | | |
| Country | char(3) | NO | UNI | | |
| District | char(20) | YES | MUL | | |
| Population | int(11) | NO | | 0 | |
+------------+----------+------+-----+---------+----------------+
5 rows in set (0.00 sec)
The description for SHOW COLUMNS
provides more information about the output columns (see
Section 13.7.5.6, “SHOW COLUMNS
Syntax”).
If the data types differ from what you expect them to be based on
a CREATE TABLE
statement, note that
MySQL sometimes changes data types when you create or alter a
table. The conditions under which this occurs are described in
Section 13.1.14.2, “Silent Column Specification Changes”.
The DESCRIBE
statement is provided
for compatibility with Oracle.
The SHOW CREATE TABLE
,
SHOW TABLE STATUS
, and
SHOW INDEX
statements also provide
information about tables. See Section 13.7.5, “SHOW
Syntax”.
EXPLAIN [explain_type
]explainable_stmt
explain_type
: EXTENDED | PARTITIONS | FORMAT =format_name
format_name
: TRADITIONAL | JSONexplainable_stmt
: SELECT statement | DELETE statement | INSERT statement | REPLACE statement | UPDATE statement
Or:
EXPLAIN tbl_name
The EXPLAIN
statement can be used
either as a way to obtain information about how MySQL executes a
statement, or as a synonym for
DESCRIBE
:
When you precede a statement with the keyword
EXPLAIN
, MySQL displays
information from the optimizer about the statement execution
plan. That is, MySQL explains how it would process the
statement, including information about how tables are joined
and in which order. EXPLAIN
EXTENDED
can be used to obtain additional
information.
As of MySQL 5.6.3, EXPLAIN
provides information about
SELECT
,
DELETE
,
INSERT
,
REPLACE
, and
UPDATE
statements. Before MySQL
5.6.3, EXPLAIN
provides
information only about SELECT
statements.
For information about using
EXPLAIN
and
EXPLAIN EXTENDED
to obtain
query execution plan information, see
Section 8.8.1, “Optimizing Queries with EXPLAIN
”.
EXPLAIN
PARTITIONS
is useful only when examining queries
involving partitioned tables. For details, see
Section 17.3.5, “Obtaining Information About Partitions”.
As of MySQL 5.6.5, the FORMAT
option can be
used to select the output format.
TRADITIONAL
presents the output in tabular
format. This is the default if no FORMAT
option is present. JSON
format displays the
information in JSON format. With FORMAT =
JSON
, the output includes extended and partition
information.
EXPLAIN
is synonymous
with tbl_name
DESCRIBE
or tbl_name
SHOW
COLUMNS FROM
.
For information about tbl_name
DESCRIBE
and SHOW COLUMNS
, see
Section 13.8.1, “DESCRIBE
Syntax”, and
Section 13.7.5.6, “SHOW COLUMNS
Syntax”.
HELP 'search_string
'
The HELP
statement returns online
information from the MySQL Reference manual. Its proper operation
requires that the help tables in the mysql
database be initialized with help topic information (see
Section 5.1.10, “Server-Side Help”).
The HELP
statement searches the
help tables for the given search string and displays the result of
the search. The search string is not case sensitive.
The HELP statement understands several types of search strings:
At the most general level, use contents
to
retrieve a list of the top-level help categories:
HELP 'contents'
For a list of topics in a given help category, such as
Data Types
, use the category name:
HELP 'data types'
For help on a specific help topic, such as the
ASCII()
function or the
CREATE TABLE
statement, use the
associated keyword or keywords:
HELP 'ascii' HELP 'create table'
In other words, the search string matches a category, many topics,
or a single topic. You cannot necessarily tell in advance whether
a given search string will return a list of items or the help
information for a single help topic. However, you can tell what
kind of response HELP
returned by
examining the number of rows and columns in the result set.
The following descriptions indicate the forms that the result set
can take. Output for the example statements is shown using the
familiar “tabular” or “vertical” format
that you see when using the mysql client, but
note that mysql itself reformats
HELP
result sets in a different
way.
Empty result set
No match could be found for the search string.
Result set containing a single row with three columns
This means that the search string yielded a hit for the help topic. The result has three columns:
name
: The topic name.
description
: Descriptive help text for
the topic.
example
: Usage example or examples.
This column might be blank.
Example: HELP 'replace'
Yields:
name: REPLACE description: Syntax: REPLACE(str,from_str,to_str) Returns the string str with all occurrences of the string from_str replaced by the string to_str. REPLACE() performs a case-sensitive match when searching for from_str. example: mysql> SELECT REPLACE('www.mysql.com', 'w', 'Ww'); -> 'WwWwWw.mysql.com'
Result set containing multiple rows with two columns
This means that the search string matched many help topics. The result set indicates the help topic names:
name
: The help topic name.
is_it_category
: Y
if
the name represents a help category, N
if it does not. If it does not, the
name
value when specified as the
argument to the HELP
statement should yield a single-row result set containing
a description for the named item.
Example: HELP 'status'
Yields:
+-----------------------+----------------+ | name | is_it_category | +-----------------------+----------------+ | SHOW | N | | SHOW ENGINE | N | | SHOW MASTER STATUS | N | | SHOW PROCEDURE STATUS | N | | SHOW SLAVE STATUS | N | | SHOW STATUS | N | | SHOW TABLE STATUS | N | +-----------------------+----------------+
Result set containing multiple rows with three columns
This means the search string matches a category. The result set contains category entries:
source_category_name
: The help category
name.
name
: The category or topic name
is_it_category
: Y
if
the name represents a help category, N
if it does not. If it does not, the
name
value when specified as the
argument to the HELP
statement should yield a single-row result set containing
a description for the named item.
Example: HELP 'functions'
Yields:
+----------------------+-------------------------+----------------+ | source_category_name | name | is_it_category | +----------------------+-------------------------+----------------+ | Functions | CREATE FUNCTION | N | | Functions | DROP FUNCTION | N | | Functions | Bit Functions | Y | | Functions | Comparison operators | Y | | Functions | Control flow functions | Y | | Functions | Date and Time Functions | Y | | Functions | Encryption Functions | Y | | Functions | Information Functions | Y | | Functions | Logical operators | Y | | Functions | Miscellaneous Functions | Y | | Functions | Numeric Functions | Y | | Functions | String Functions | Y | +----------------------+-------------------------+----------------+
USE db_name
The USE
statement tells MySQL to use the
db_name
db_name
database as the default
(current) database for subsequent statements. The database remains
the default until the end of the session or another
USE
statement is issued:
USE db1; SELECT COUNT(*) FROM mytable; # selects from db1.mytable USE db2; SELECT COUNT(*) FROM mytable; # selects from db2.mytable
Making a particular database the default by means of the
USE
statement does not preclude you
from accessing tables in other databases. The following example
accesses the author
table from the
db1
database and the editor
table from the db2
database:
USE db1; SELECT author_name,editor_name FROM author,db2.editor WHERE author.editor_id = db2.editor.editor_id;