Table of Contents
This chapter describes the syntax for the SQL statements supported by MySQL.
ALTER {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 13.1.15, “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 13.1.11, “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 ENABLE
or
DISABLE
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 17.4.1.11, “Replication of Invoked Features”,
for more information.
ALTER LOGFILE GROUPlogfile_group
ADD UNDOFILE 'file_name
' [INITIAL_SIZE [=]size
] [WAIT] ENGINE [=]engine_name
This statement adds an UNDO
file named
'file_name
' to an existing log file
group logfile_group
. An
ALTER LOGFILE GROUP
statement has
one and only one ADD UNDOFILE
clause. No
DROP UNDOFILE
clause is currently supported.
All MySQL Cluster Disk Data objects share the same namespace. This means that each Disk Data object must be uniquely named (and not merely each Disk Data object of a given type). For example, you cannot have a tablespace and an undo log file with the same name, or an undo log file and a data file with the same name.
The optional INITIAL_SIZE
parameter sets the
UNDO
file's initial size in bytes; if not
specified, the initial size defaults to 134217728 (128 MB). Prior
to MySQL Cluster NDB 7.2.14, this value was required to be
specified using digits (Bug #13116514, Bug #16104705, Bug #62858);
in MySQL Cluster NDB 7.2.14 and later, you may optionally follow
size
with a one-letter abbreviation for
an order of magnitude, similar to those used in
my.cnf
. Generally, this is one of the letters
M
(megabytes) or G
(gigabytes).
On 32-bit systems, the maximum supported value for
INITIAL_SIZE
is 4294967296 (4 GB). (Bug #29186)
The minimum allowed value for INITIAL_SIZE
is
1048576 (1 MB). (Bug #29574)
WAIT
is parsed but otherwise ignored. This
keyword currently has no effect, and is intended for future
expansion.
The ENGINE
parameter (required) determines the
storage engine which is used by this log file group, with
engine_name
being the name of the
storage engine. Currently, the only accepted values for
engine_name
are
“NDBCLUSTER
” and
“NDB
”. The two values
are equivalent.
Here is an example, which assumes that the log file group
lg_3
has already been created using
CREATE LOGFILE GROUP
(see
Section 13.1.14, “CREATE LOGFILE GROUP Syntax”):
ALTER LOGFILE GROUP lg_3 ADD UNDOFILE 'undo_10.dat' INITIAL_SIZE=32M ENGINE=NDBCLUSTER;
When ALTER LOGFILE GROUP
is used
with ENGINE = NDBCLUSTER
(alternatively,
ENGINE = NDB
), an UNDO
log
file is created on each MySQL Cluster data node. You can verify
that the UNDO
files were created and obtain
information about them by querying the
INFORMATION_SCHEMA.FILES
table. For
example:
mysql>SELECT FILE_NAME, LOGFILE_GROUP_NUMBER, EXTRA
->FROM INFORMATION_SCHEMA.FILES
->WHERE LOGFILE_GROUP_NAME = 'lg_3';
+-------------+----------------------+----------------+ | FILE_NAME | LOGFILE_GROUP_NUMBER | EXTRA | +-------------+----------------------+----------------+ | newdata.dat | 0 | CLUSTER_NODE=3 | | newdata.dat | 0 | CLUSTER_NODE=4 | | undo_10.dat | 11 | CLUSTER_NODE=3 | | undo_10.dat | 11 | CLUSTER_NODE=4 | +-------------+----------------------+----------------+ 4 rows in set (0.01 sec)
(See Section 21.29.1, “The INFORMATION_SCHEMA FILES Table”.)
Memory used for UNDO_BUFFER_SIZE
comes from the
global pool whose size is determined by the value of the
SharedGlobalMemory
data
node configuration parameter. This includes any default value
implied for this option by the setting of the
InitialLogFileGroup
data
node configuration parameter.
ALTER LOGFILE GROUP
is useful only
with Disk Data storage for MySQL Cluster. For more information,
see Section 18.5.12, “MySQL Cluster Disk Data Tables”.
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 20.7, “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 20.2.2, “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 5.5, ALTER SERVER
is not
written to the binary log, regardless of the logging format that
is in use.
ALTER [ONLINE | OFFLINE] [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
| ALTER [COLUMN]col_name
{SET DEFAULTliteral
| DROP DEFAULT} | CHANGE [COLUMN]old_col_name
new_col_name
column_definition
[FIRST|AFTERcol_name
] | 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 PARTITION [partition_names
INTO (partition_definitions
)] | 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} | PARTITION BYpartitioning_expression
| 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.
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 13.1.17, “CREATE TABLE Syntax”, for more
information.
table_options
signifies table options
of the kind that can be used in the CREATE
TABLE
statement, such as ENGINE
,
AUTO_INCREMENT
,
AVG_ROW_LENGTH
, MAX_ROWS
, or
ROW_FORMAT
. For a list of all table options and
a description of each, see Section 13.1.17, “CREATE TABLE Syntax”.
However, ALTER TABLE
ignores the
DATA DIRECTORY
and INDEX
DIRECTORY
table options.
partition_options
signifies options
that can be used with partitioned tables for repartitioning, for
adding, dropping, merging, and splitting partitions, and for
performing partitioning maintenance. It is possible for an
ALTER TABLE
statement to contain a
PARTITION BY
or REMOVE
PARTITIONING
clause in an addition to other alter
specifications, but the PARTITION BY
or
REMOVE PARTITIONING
clause must be specified
last after any other specifications. The ADD
PARTITION
, DROP PARTITION
,
COALESCE PARTITION
, REORGANIZE
PARTITION
, ANALYZE PARTITION
,
CHECK PARTITION
, and REPAIR
PARTITION
options cannot be combined with other alter
specifications in a single ALTER TABLE
, since
the options just listed act on individual partitions. For a list
of partition options and a description of each, see
Section 13.1.17, “CREATE TABLE Syntax”. For additional information, see
Section 13.1.7.1, “ALTER TABLE Partition Operations”.
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 B.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 (with the exception noted shortly). 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 copy of the original 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.
The exception referred to earlier is that
ALTER TABLE
blocks reads (not just
writes) at the point where it is ready to install a new version of
the table .frm
file, discard the old file,
and clear outdated table structures from the table and table
definition caches. At this point, it must acquire an exclusive
lock. To do so, it waits for current readers to finish, and blocks
new reads (and writes).
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 13.1.32, “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
are immediate because the server only needs to alter the table
.frm
file, not touch table contents. The
following changes are fast alterations that can be made this
way:
Renaming a column, except for the
InnoDB
storage engine.
Changing the default value of a column (except for
NDB
tables; see
Limitations
of NDBCLUSTER
online
operations).
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
size of the data type does not change. For example, adding
a member to a SET
column
that has 8 members changes the required storage per value
from 1 byte to 2 bytes; this 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
.
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
.
As of MySQL 5.5.11, 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.
For NDBCLUSTER
tables, operations
that add and drop indexes on variable-width columns occur online,
without any table copying and without blocking concurrent DML
actions for most of their duration. See
Section 13.1.7.2, “ALTER TABLE Online Operations in MySQL Cluster”.
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 one 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.
Due to a bug related to
Fast Index
Creation (Bug #40344), the statement ALTER
IGNORE TABLE ... ADD UNIQUE INDEX
does not delete
duplicate rows. The IGNORE
keyword is
ignored. If any duplicate rows exist, the operation fails
with the following error message:
ERROR 23000: Duplicate entry '347
' for key 'pl
'
A workaround is to set
old_alter_table=1
prior to
running an ALTER IGNORE TABLE ... ADD UNIQUE
INDEX
statement.
SET SESSION old_alter_table=1
Pending INSERT DELAYED
statements are lost if a table is write locked and
ALTER TABLE
is used to modify
the table structure.
table_options
signifies table
options of the kind that can be used in the
CREATE TABLE
statement, such as
ENGINE
, AUTO_INCREMENT
,
AVG_ROW_LENGTH
,
MAX_ROWS
, or ROW_FORMAT
.
For a list of all table options and a description of each, see
Section 13.1.17, “CREATE TABLE Syntax”. 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 14.8.4, “Converting Tables from MyISAM 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 13.1.17, “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 11.6, “Data Type Default Values”.
DROP INDEX
removes an index.
This is a MySQL extension to standard SQL. See
Section 13.1.24, “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 13.1.13, “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 13.1.13, “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. 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.
The table does not remain in the specified order after inserts and deletes.
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 because
InnoDB
always orders table rows according
to the clustered
index.
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.
For MyISAM
tables, key updating can be
controlled explicitly. Use ALTER TABLE ... DISABLE
KEYS
to tell MySQL to stop updating nonunique
indexes. Then use ALTER TABLE ... ENABLE
KEYS
to re-create missing indexes.
MyISAM
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 14.8.6, “InnoDB and FOREIGN KEY Constraints”. For other
storage engines, the clauses are parsed but ignored. The
symbol
]]
FOREIGN KEY [index_name
] (...)
REFERENCES ... (...)CHECK
clause is parsed but ignored by all
storage engines. See Section 13.1.17, “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 1.7.2, “MySQL Differences from Standard SQL”.
For ALTER TABLE
, unlike
CREATE TABLE
, ADD
FOREIGN KEY
ignores
index_name
if given and uses an
automatically generated foreign key name. As a workaround,
include the CONSTRAINT
clause to specify
the foreign key name:
ADD CONSTRAINT name
FOREIGN KEY (....) ...
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 InnoDB
tables do not support
foreign keys. See
Section 19.5.2, “Partitioning Limitations Relating to Storage Engines”,
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 14.8.6, “InnoDB and FOREIGN KEY Constraints”.
Adding and dropping a foreign key in separate clauses of a
single ALTER TABLE
statement
may be problematic in some cases and is therefore unsupported.
Use separate statements for each operation.
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 access the
table while the tablespace file is discarded results in an
error.
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.
The ALTER TABLE
... IMPORT TABLESPACE
feature does not enforce
foreign key constraints on imported data.
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
[COLLATEcollation_name
];
The statement also changes the collation of all character
columns. If you specify no COLLATE
clause
to indicate which collation to use, the statement uses default
collation for the character set. If this collation is
inappropriate for the intended table use (for example, if it
would change from a case-sensitive collation to a
case-insensitive collation), specify a collation explicitly.
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 23.8.7.35, “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.
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 13.1.17, “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;
MySQL 5.5.31 and later supports an
ALGORITHM
option with
[SUB]PARTITION BY [LINEAR] KEY
.
ALGORITHM=1
causes the server to use the
same key-hashing functions as MySQL 5.1 when computing the
placement of rows in partitions;
ALGORITHM=2
means that the server employs
the key-hashing functions implemented and used by default
for new KEY
partitioned tables in MySQL
5.5 and later. (Partitioned tables created with the
key-hashing functions employed in MySQL 5.5 and later cannot
be used by a MySQL 5.1 server.) Not specifying the option
has the same effect as using ALGORITHM=2
.
This option is intended for use chiefly when upgrading or
downgrading [LINEAR] KEY
partitioned
tables between MySQL 5.1 and later MySQL versions, or for
creating tables partitioned by KEY
or
LINEAR KEY
on a MySQL 5.5 or later server
which can be used on a MySQL 5.1 server.
To upgrade a KEY
partitioned table that
was created in MySQL 5.1, first execute
SHOW CREATE TABLE
and note
the exact columns and number of partitions shown. Now
execute an ALTER TABLE
statement using
exactly the same column list and number of partitions as in
the CREATE TABLE
statement, while adding
ALGORITHM=2
immediately following the
PARTITION BY
keywords. (You should also
include the LINEAR
keyword if it was used
for the original table definition.) An example from a
session in the mysql client is shown
here:
mysql>SHOW CREATE TABLE p\G
*************************** 1. row *************************** Table: p Create Table: CREATE TABLE `p` ( `id` int(11) NOT NULL AUTO_INCREMENT, `cd` datetime NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 /*!50100 PARTITION BY LINEAR KEY (id) PARTITIONS 32 */ 1 row in set (0.00 sec) mysql>ALTER TABLE p
PARTITION BY LINEAR KEY ALGORITHM=2 (id) PARTITIONS 32;
Query OK, 0 rows affected (5.34 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql>SHOW CREATE TABLE p\G
*************************** 1. row *************************** Table: p Create Table: CREATE TABLE `p` ( `id` int(11) NOT NULL AUTO_INCREMENT, `cd` datetime NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 /*!50100 PARTITION BY LINEAR KEY (id) PARTITIONS 32 */ 1 row in set (0.00 sec)
Downgrading a table created using the default key-hashing
used in MySQL 5.5 and later to enable its use by a MySQL 5.1
server is similar, except in this case you should use
ALGORITHM=1
to force the table's
partitions to be rebuilt using the MySQL 5.1 key-hashing
functions. It is recommended that you not do this except
when necessary for compatibility with a MySQL 5.1 server, as
the improved KEY
hashing functions used
by default in MySQL 5.5 and later provide fixes for a number
of issues found in the older implementation.
A table upgraded by means of ALTER TABLE ...
PARTITION BY ALGORITHM=2 [LINEAR] KEY ...
can no
longer be used by a MySQL 5.1 server. (Such a table would
need to be downgraded with ALTER TABLE ...
PARTITION BY ALGORITHM=1 [LINEAR] KEY ...
before
it could be used again by a MySQL 5.1 server.)
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 19.5.1, “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 13.1.17, “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;
DROP PARTITION
does not work with
tables that use the
NDBCLUSTER
storage engine.
See Section 19.3.1, “Management of RANGE and LIST Partitions”,
and Section 18.1.6, “Known Limitations of MySQL Cluster”.
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..
Beginning with MySQL 5.5.0, 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
.
This statement may also be used without the
option on tables that are automatically partitioned
using partition_names
INTO
(partition_definitions
)HASH
partitioning to force
redistribution of data. (Currently, only
NDB
tables are
automatically partitioned in this way.) This is useful
in MySQL Cluster where, after you have added new MySQL
Cluster data nodes online to an existing MySQL Cluster,
you wish to redistribute existing MySQL Cluster table
data to the new data nodes. In such cases, you should
invoke the statement with the ONLINE
option; in other words, as shown here:
ALTER ONLINE TABLE table
REORGANIZE PARTITION;
You cannot perform other DDL concurrently with online
table reorganization—that is, no other DDL
statements can be issued while an ALTER ONLINE
TABLE ... REORGANIZE PARTITION
statement is
executing. For more information about adding MySQL
Cluster data nodes online, see
Section 18.5.13, “Adding MySQL Cluster Data Nodes Online”.
ALTER ONLINE TABLE ... REORGANIZE
PARTITION
does not work with tables which were
created using the MAX_ROWS
option,
because it uses the constant MAX_ROWS
value specified in the original
CREATE TABLE
statement to
determine the number of partitions required, so no new
partitions are created. Beginning with MySQL Cluster NDB
7.2.6, you can use ALTER ONLINE TABLE ...
MAX_ROWS=
to
increase the maximum number of rows for the table; after
this, rows
ALTER ONLINE TABLE ... REORGANIZE
PARTITION
can use this new, larger value to
increase the number of partitions. The value of
rows
must be greater than the
value specified for MAX_ROWS
in the
original CREATE TABLE
statement for
this to work.
Attempting to use REORGANIZE
PARTITION
without the
option on explicitly partitioned tables results in the
error REORGANIZE PARTITION without parameters
can only be used on auto-partitioned tables using HASH
partitioning.
partition_names
INTO
(partition_definitions
)
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 19.3.1, “Management of RANGE and LIST Partitions”.
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 19.3.3, “Maintenance of Partitions”.
Prior to MySQL 5.5.30, it was not safe to execute multiple
concurrent REBUILD TABLE
operations on
partitioned tables, whether on the same or different tables.
(Bug #14589559, Bug #66645)
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. Beginning with MySQL 5.5.30, running this
statement on such a table causes the entire table to rebuilt
and analyzed, and an appropriate warning to be issued. (Bug
#11751825, Bug #42822)
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 columns or indexes.
Using the ENGINE
option with
ALTER TABLE
changes the
storage engine used by the table without affecting the
partitioning.
It is possible for an ALTER TABLE
statement to contain a PARTITION BY
or
REMOVE PARTITIONING
clause in an addition to
other alter specifications, but the PARTITION
BY
or REMOVE PARTITIONING
clause
must be specified last after any other specifications.
The ADD PARTITION
, DROP
PARTITION
, COALESCE PARTITION
,
REORGANIZE PARTITION
, ANALYZE
PARTITION
, CHECK PARTITION
, and
REPAIR PARTITION
options cannot be combined
with other alter specifications in a single ALTER
TABLE
, since the options just listed act on individual
partitions. For more information, see
Section 13.1.7.1, “ALTER TABLE Partition Operations”.
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
, 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;
ANALYZE
, CHECK
,
OPTIMIZE
, REBUILD
,
REPAIR
, and TRUNCATE
operations are not supported for subpartitions.
Operations that add and drop indexes on variable-width columns
of NDBCLUSTER
tables occur online.
Online operations are noncopying; that is, they do not require
that indexes be re-created. They do not lock the table being
altered from access by other API nodes in a MySQL Cluster (but
see Limitations later in this section).
Such operations do not require single user mode for
NDBCLUSTER
table alterations made
in a cluster with multiple API nodes; transactions can continue
uninterrupted during online DDL operations.
The ONLINE
keyword can be used to perform
online ADD COLUMN
, ADD
INDEX
(including CREATE INDEX
statements), and DROP INDEX
operations on
NDBCLUSTER
tables. Online renaming
of NDBCLUSTER
tables is also
supported.
The ONLINE
and OFFLINE
keywords are supported only in MySQL Cluster. For standard MySQL
Server 5.5 releases:
The server determines automatically whether an ADD
INDEX
or DROP INDEX
operation
can be (and is) performed online or offline; if the column
is of a variable-width data type, the operation is performed
online. It is not possible to override the server behavior
in this regard.
Attempting to use the ONLINE
or
OFFLINE
keyword in an
ALTER TABLE
,
CREATE INDEX
, or
DROP INDEX
statement results
in an error.
Currently you cannot add disk-based columns to
NDBCLUSTER
tables online. This
means that, if you wish to add an in-memory column to an
NDBCLUSTER
table that uses a
table-level STORAGE DISK
option, you must
declare the new column as using memory-based storage explicitly.
For example—assuming that you have already created
tablespace ts1
—suppose that you create
table t1
as follows:
mysql>CREATE TABLE t1 (
>c1 INT NOT NULL PRIMARY KEY,
>c2 VARCHAR(30)
>)
>TABLESPACE ts1 STORAGE DISK
>ENGINE NDBCLUSTER;
Query OK, 0 rows affected (1.73 sec) Records: 0 Duplicates: 0 Warnings: 0
You can add a new in-memory column to this table online as shown here:
mysql> ALTER ONLINE TABLE t1 ADD COLUMN c3 INT COLUMN_FORMAT DYNAMIC STORAGE MEMORY;
Query OK, 0 rows affected (1.25 sec)
Records: 0 Duplicates: 0 Warnings: 0
This statement fails if the STORAGE MEMORY
option is omitted:
mysql> ALTER ONLINE TABLE t1 ADD COLUMN c3 INT COLUMN_FORMAT DYNAMIC;
ERROR 1235 (42000): This version of MySQL doesn't yet support
'ALTER ONLINE TABLE t1 ADD COLUMN c3 INT COLUMN_FORMAT DYNAMIC'
If you omit the COLUMN_FORMAT DYNAMIC
option,
the dynamic column format is employed automatically, but a
warning is issued, as shown here:
mysql>ALTER ONLINE TABLE t1 ADD COLUMN c3 INT STORAGE MEMORY;
Query OK, 0 rows affected, 1 warning (1.17 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql>SHOW WARNINGS;
+---------+------+---------------------------------------------------------------+ | Level | Code | Message | +---------+------+---------------------------------------------------------------+ | Warning | 1478 | Converted FIXED field to DYNAMIC to enable on-line ADD COLUMN | +---------+------+---------------------------------------------------------------+ 1 row in set (0.00 sec) mysql>SHOW CREATE TABLE t1\G
*************************** 1. row *************************** Table: t1 Create Table: CREATE TABLE `t1` ( `c1` int(11) NOT NULL, `c2` varchar(30) DEFAULT NULL, `c3` int(11) /*!50120 STORAGE MEMORY */ /*!50120 COLUMN_FORMAT DYNAMIC */ DEFAULT NULL, `t4` int(11) /*!50120 STORAGE MEMORY */ DEFAULT NULL, PRIMARY KEY (`c1`) ) /*!50100 TABLESPACE ts_1 STORAGE DISK */ ENGINE=ndbcluster DEFAULT CHARSET=latin1 1 row in set (0.03 sec)
The STORAGE
and
COLUMN_FORMAT
keywords are supported only
in MySQL Cluster; in any other version of MySQL, attempting to
use either of these keywords in a CREATE
TABLE
or ALTER TABLE
statement results in an error.
It is also possible to use the statement ALTER ONLINE
TABLE ... REORGANIZE PARTITION
with no
option on partition_names
INTO
(partition_definitions
)NDB
tables. This can be
used to redistribute MySQL Cluster data among new data nodes
that have been added to the cluster online. For more information
about this statement, see
Section 13.1.7.1, “ALTER TABLE Partition Operations” For more
information about adding data nodes online to a MySQL Cluster,
see Section 18.5.13, “Adding MySQL Cluster Data Nodes Online”.
Online DROP COLUMN
operations are not
supported.
Online ALTER TABLE
,
CREATE INDEX
, or
DROP INDEX
statements that add
columns or add or drop indexes are subject to the following
limitations:
A given online ALTER TABLE
can use only one of ADD COLUMN
,
ADD INDEX
, or DROP
INDEX
. One or more columns can be added online in
a single statement; only one index may be created or dropped
online in a single statement.
An ALTER TABLE
statement that performs a
rename while using the ONLINE
or
OFFLINE
keyword cannot perform any other
operations, including but not limited to ADD
COLUMN
, ADD INDEX
, or
DROP INDEX
. Beginning with MySQL Cluster
NDB 7.2.11, such statements are specifically disallowed, and
fail with ER_NOT_SUPPORTED_YET. (Bug
#16021021)
The table being altered is not locked with respect to API
nodes other than the one on which an online
ALTER TABLE
ADD
COLUMN
, ADD INDEX
, or
DROP INDEX
operation (or
CREATE INDEX
or
DROP INDEX
statement) is run.
However, the table is locked against any other operations
originating on the same API node while
the online operation is being executed.
The table to be altered must have an explicit primary key;
the hidden primary key created by the
NDB
storage engine is not
sufficient for this purpose.
The storage engine used by the table cannot be changed online.
When used with MySQL Cluster Disk Data tables, it is not
possible to change the storage type (DISK
or MEMORY
) of a column online. This
means, that when you add or drop an index in such a way that
the operation would be performed online, and you want the
storage type of the column or columns to be changed, you
must use the OFFLINE
keyword in the
statement that adds or drops the index.
Columns to be added online cannot use the
BLOB
or
TEXT
type, and must meet the
following criteria:
The columns must be dynamic; that is, it must be possible to
create them using COLUMN_FORMAT DYNAMIC
.
If you omit the COLUMN_FORMAT DYNAMIC
option, the dynamic column format is employed automatically.
The columns must permit NULL
values and
not have any explicit default value other than
NULL
. Columns added online are
automatically created as DEFAULT NULL
, as
can be seen here:
mysql>CREATE TABLE t1 (
>c1 INT NOT NULL AUTO_INCREMENT PRIMARY KEY
>) ENGINE=NDB;
Query OK, 0 rows affected (1.44 sec) mysql>ALTER ONLINE TABLE t1
>ADD COLUMN c2 INT,
>ADD COLUMN c3 INT;
Query OK, 0 rows affected, 2 warnings (0.93 sec) mysql>SHOW CREATE TABLE t1\G
*************************** 1. row *************************** Table: t1 Create Table: CREATE TABLE `t1` ( `c1` int(11) NOT NULL AUTO_INCREMENT, `c2` int(11) DEFAULT NULL, `c3` int(11) DEFAULT NULL, PRIMARY KEY (`c1`) ) ENGINE=ndbcluster DEFAULT CHARSET=latin1 1 row in set (0.00 sec)
The columns must be added following any existing columns. If
you attempt to add a column online before any existing
columns or using the FIRST
keyword, the
statement fails with an error.
Existing table columns cannot be reordered online.
For online ALTER TABLE
operations
on NDB
tables, fixed-format columns
are converted to dynamic when they are added online, or when
indexes are created or dropped online, as shown here:
mysql>CREATE TABLE t1 (
>c1 INT NOT NULL AUTO_INCREMENT PRIMARY KEY
>) ENGINE=NDB;
Query OK, 0 rows affected (1.44 sec) mysql>ALTER ONLINE TABLE t1 ADD COLUMN c2 INT, ADD COLUMN c3 INT;
Query OK, 0 rows affected, 2 warnings (0.93 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql>SHOW WARNINGS;
+---------+------+---------------------------------------------------------------+ | Level | Code | Message | +---------+------+---------------------------------------------------------------+ | Warning | 1475 | Converted FIXED field to DYNAMIC to enable on-line ADD COLUMN | | Warning | 1475 | Converted FIXED field to DYNAMIC to enable on-line ADD COLUMN | +---------+------+---------------------------------------------------------------+ 2 rows in set (0.00 sec)
Existing columns, including the table's primary key, need not be dynamic; only the column or columns to be added online must be dynamic.
mysql>CREATE TABLE t2 (
>c1 INT NOT NULL AUTO_INCREMENT PRIMARY KEY COLUMN_FORMAT FIXED
>) ENGINE=NDB;
Query OK, 0 rows affected (2.10 sec) mysql>ALTER ONLINE TABLE t2 ADD COLUMN c2 INT;
Query OK, 0 rows affected, 1 warning (0.78 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql>SHOW WARNINGS;
+---------+------+---------------------------------------------------------------+ | Level | Code | Message | +---------+------+---------------------------------------------------------------+ | Warning | 1475 | Converted FIXED field to DYNAMIC to enable on-line ADD COLUMN | +---------+------+---------------------------------------------------------------+ 1 row in set (0.00 sec)
Columns are not converted from FIXED
to
DYNAMIC
column format by renaming operations.
For more information about COLUMN_FORMAT
, see
Section 13.1.17, “CREATE TABLE Syntax”.
The KEY
, CONSTRAINT
, and
IGNORE
keywords are supported in
ALTER TABLE
statements using the
ONLINE
keyword.
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
.
For NDB
tables, it is also possible
to change the storage type used for a table or column. For
example, consider an NDB
table
created as shown here:
mysql> CREATE TABLE t1 (c1 INT) TABLESPACE ts_1 ENGINE NDB;
Query OK, 0 rows affected (1.27 sec)
To convert this table to disk-based storage, you can use the
following ALTER TABLE
statement:
mysql>ALTER TABLE t1 TABLESPACE ts_1 STORAGE DISK;
Query OK, 0 rows affected (2.99 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql>SHOW CREATE TABLE t1\G
*************************** 1. row *************************** Table: t1 Create Table: CREATE TABLE `t1` ( `c1` int(11) DEFAULT NULL ) /*!50100 TABLESPACE ts_1 STORAGE DISK */ ENGINE=ndbcluster DEFAULT CHARSET=latin1 1 row in set (0.01 sec)
It is not necessary that the tablespace was referenced when the
table was originally created; however, the tablespace must be
referenced by the ALTER TABLE
:
mysql>CREATE TABLE t2 (c1 INT) ts_1 ENGINE NDB;
Query OK, 0 rows affected (1.00 sec) mysql>ALTER TABLE t2 STORAGE DISK;
ERROR 1005 (HY000): Can't create table 'c.#sql-1750_3' (errno: 140) mysql>ALTER TABLE t2 TABLESPACE ts_1 STORAGE DISK;
Query OK, 0 rows affected (3.42 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql>SHOW CREATE TABLE t2\G
*************************** 1. row *************************** Table: t1 Create Table: CREATE TABLE `t2` ( `c1` int(11) DEFAULT NULL ) /*!50100 TABLESPACE ts_1 STORAGE DISK */ ENGINE=ndbcluster DEFAULT CHARSET=latin1 1 row in set (0.01 sec)
To change the storage type of an individual column, you can use
ALTER TABLE ... MODIFY [COLUMN]
. For example,
suppose you create a MySQL Cluster Disk Data table with two
columns, using this CREATE TABLE
statement:
mysql>CREATE TABLE t3 (c1 INT, c2 INT)
->TABLESPACE ts_1 STORAGE DISK ENGINE NDB;
Query OK, 0 rows affected (1.34 sec)
To change column c2
from disk-based to
in-memory storage, include a STORAGE MEMORY clause in the column
definition used by the ALTER TABLE statement, as shown here:
mysql> ALTER TABLE t3 MODIFY c2 INT STORAGE MEMORY;
Query OK, 0 rows affected (3.14 sec)
Records: 0 Duplicates: 0 Warnings: 0
You can make an in-memory column into a disk-based column by
using STORAGE DISK
in a similar fashion.
Column c1
uses disk-based storage, since this
is the default for the table (determined by the table-level
STORAGE DISK
clause in the
CREATE TABLE
statement). However,
column c2
uses in-memory storage, as can be
seen here in the output of SHOW CREATE
TABLE
:
mysql> SHOW CREATE TABLE t3\G
*************************** 1. row ***************************
Table: t3
Create Table: CREATE TABLE `t3` (
`c1` int(11) DEFAULT NULL,
`c2` int(11) /*!50120 STORAGE MEMORY */ DEFAULT NULL
) /*!50100 TABLESPACE ts_1 STORAGE DISK */ ENGINE=ndbcluster DEFAULT CHARSET=latin1
1 row in set (0.02 sec)
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 TABLE t1; ALTER TABLE t2 RENAME t1;
ALTER TABLESPACEtablespace_name
{ADD|DROP} DATAFILE 'file_name
' [INITIAL_SIZE [=]size
] [WAIT] ENGINE [=]engine_name
This statement can be used either to add a new data file, or to drop a data file from a tablespace.
The ADD DATAFILE
variant enables you to specify
an initial size using an INITIAL_SIZE
clause,
where size
is measured in bytes; the
default value is 134217728 (128 MB). Prior to MySQL Cluster NDB
7.2.14, this value was required to be specified using digits (Bug
#13116514, Bug #16104705, Bug #62858); in MySQL Cluster NDB 7.2.14
and later, you may optionally follow
size
with a one-letter abbreviation for
an order of magnitude, similar to those used in
my.cnf
. Generally, this is one of the letters
M
(megabytes) or G
(gigabytes).
All MySQL Cluster Disk Data objects share the same namespace. This means that each Disk Data object must be uniquely named (and not merely each Disk Data object of a given type). For example, you cannot have a tablespace and an data file with the same name, or an undo log file and a tablespace with the same name.
On 32-bit systems, the maximum supported value for
INITIAL_SIZE
is 4294967296 (4 GB). (Bug #29186)
INITIAL_SIZE
is rounded, explicitly, as for
CREATE TABLESPACE
.
Once a data file has been created, its size cannot be changed;
however, you can add more data files to the tablespace using
additional ALTER TABLESPACE ... ADD DATAFILE
statements.
Using DROP DATAFILE
with
ALTER TABLESPACE
drops the data
file 'file_name
' from the tablespace.
You cannot drop a data file from a tablespace which is in use by
any table; in other words, the data file must be empty (no extents
used). See Section 18.5.12.1, “MySQL Cluster Disk Data Objects”. In
addition, any data file to be dropped must previously have been
added to the tablespace with CREATE
TABLESPACE
or ALTER
TABLESPACE
.
Both ALTER TABLESPACE ... ADD DATAFILE
and
ALTER TABLESPACE ... DROP DATAFILE
require an
ENGINE
clause which specifies the storage
engine used by the tablespace. Currently, the only accepted values
for engine_name
are
NDB
and
NDBCLUSTER
.
WAIT
is parsed but otherwise ignored, and so
has no effect in MySQL 5.5. It is intended for future
expansion.
When ALTER TABLESPACE ... ADD DATAFILE
is used
with ENGINE = NDB
, a data file is created on
each Cluster data node. You can verify that the data files were
created and obtain information about them by querying the
INFORMATION_SCHEMA.FILES
table. For
example, the following query shows all data files belonging to the
tablespace named newts
:
mysql>SELECT LOGFILE_GROUP_NAME, FILE_NAME, EXTRA
->FROM INFORMATION_SCHEMA.FILES
->WHERE TABLESPACE_NAME = 'newts' AND FILE_TYPE = 'DATAFILE';
+--------------------+--------------+----------------+ | LOGFILE_GROUP_NAME | FILE_NAME | EXTRA | +--------------------+--------------+----------------+ | lg_3 | newdata.dat | CLUSTER_NODE=3 | | lg_3 | newdata.dat | CLUSTER_NODE=4 | | lg_3 | newdata2.dat | CLUSTER_NODE=3 | | lg_3 | newdata2.dat | CLUSTER_NODE=4 | +--------------------+--------------+----------------+ 2 rows in set (0.03 sec)
See Section 21.29.1, “The INFORMATION_SCHEMA FILES Table”.
ALTER TABLESPACE
is useful only
with Disk Data storage for MySQL Cluster. See
Section 18.5.12, “MySQL Cluster Disk Data Tables”.
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 13.1.20, “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
.
As of MySQL 5.5.3, 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 20.4.2, “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 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 20.6, “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 6.3.13, “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 20.4.4, “Event Metadata”. See also
Section 13.7.5.19, “SHOW EVENTS Syntax”, and Section 21.7, “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
ENABLE
or DISABLE
;
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 17.4.1.11, “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 D.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 in effect when an event is created or altered,
and always executes the event with this setting in force,
regardless of the current server SQL mode when the event
begins executing.
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 20.1, “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 permitted within stored routines, see Section 20.2.1, “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 13.1.15, “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 [ONLINE|OFFLINE] [UNIQUE|FULLTEXT|SPATIAL] INDEXindex_name
[index_type
] ONtbl_name
(index_col_name
,...) [index_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
'
CREATE INDEX
is mapped to an
ALTER TABLE
statement to create
indexes. See Section 13.1.7, “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 13.1.17, “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 767
bytes long for InnoDB
tables or 3072 bytes if
the innodb_large_prefix
option is
enabled. For MyISAM tables, the prefix limit is 1000 bytes. The
NDBCLUSTER
storage engine does not support
prefixes (see
Section 18.1.6.6, “Unsupported or Missing Features in MySQL Cluster”).
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
multibyte character set.
Indexes on variable-width columns of
NDBCLUSTER
tables are created online;
that is, without any table copying. The table is not locked
against access from other MySQL Cluster API nodes, although it is
locked against other operations on the same
API node for the duration of the operation. This is done
automatically by the server whenever it determines that it is
possible to do so; you do not have to use any special SQL syntax
or server options to cause it to happen.
In standard MySQL 5.5 releases, it is not possible to
override the server when it determines that an index is to be
created without table copying. In MySQL Cluster, you can create
indexes offline (which causes the table to be locked to all API
nodes in the cluster) using the OFFLINE
keyword. The rules and limitations governing CREATE
OFFLINE INDEX
and CREATE ONLINE INDEX
are the same as for ALTER OFFLINE TABLE ... ADD
INDEX
and ALTER ONLINE TABLE ... ADD
INDEX
. You cannot cause the noncopying creation of an
index that would normally be created offline by using the
ONLINE
keyword: If it is not possible to
perform the CREATE INDEX
operation
without table copying, the server ignores the
ONLINE
keyword. For more information, see
Section 13.1.7.2, “ALTER TABLE Online Operations in MySQL Cluster”.
The ONLINE
and OFFLINE
keywords are available only in MySQL Cluster; attempting to use
these keywords in standard MySQL Server 5.5 releases
results in a syntax error.
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
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 11.5, “Extensions for Spatial Data”, 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 5.5, 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 5.5:
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
Optionally specifies the size in bytes to use for index key blocks. The value is treated as a hint; a different size could be used if necessary.
KEY_BLOCK_SIZE
is only supported at the
table level for InnoDB
. See
Section 13.1.17, “CREATE TABLE Syntax”.
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 |
---|---|
MyISAM | BTREE |
InnoDB | BTREE |
MEMORY /HEAP | HASH , BTREE |
NDB | BTREE , HASH (see note in text) |
Example:
CREATE TABLE lookup (id INT) ENGINE = MEMORY; CREATE INDEX id_index ON lookup (id) USING BTREE;
BTREE
indexes are implemented by the
NDBCLUSTER
storage engine as
T-tree indexes.
For indexes on NDB
table
columns, the USING
option can be
specified only for a unique index or primary key.
USING HASH
prevents the creation of an
implicit ordered index; otherwise, creating a unique index
or primary key on an NDB
table
automatically results in the creation of both an ordered
index and a hash index, each of which indexes the same set
of columns.
This means that a query using a unique index or primary key
on a NULL
column is always handled by
NDB
with a full scan of the
table. In particular, if you plan to use an IS
NULL
or IS NOT NULL
condition
involving a unique index or primary key column of an
NDB
table, you should create
any such index without USING HASH
.
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 24.2, “The MySQL Plugin API”, for details on
creating plugins.
COMMENT '
string
'
As of MySQL 5.5.3, index definitions can include an optional comment of up to 1024 characters.
CREATE LOGFILE GROUPlogfile_group
ADD UNDOFILE 'undo_file
' [INITIAL_SIZE [=]initial_size
] [UNDO_BUFFER_SIZE [=]undo_buffer_size
] [REDO_BUFFER_SIZE [=]redo_buffer_size
] [NODEGROUP [=]nodegroup_id
] [WAIT] [COMMENT [=]comment_text
] ENGINE [=]engine_name
This statement creates a new log file group named
logfile_group
having a single
UNDO
file named
'undo_file
'. A
CREATE LOGFILE GROUP
statement has
one and only one ADD UNDOFILE
clause. For rules
covering the naming of log file groups, see
Section 9.2, “Schema Object Names”.
All MySQL Cluster Disk Data objects share the same namespace. This means that each Disk Data object must be uniquely named (and not merely each Disk Data object of a given type). For example, you cannot have a tablespace and a log file group with the same name, or a tablespace and a data file with the same name.
In MySQL Cluster NDB 7.2, you can have only one log file group per Cluster at any given time. (See Bug #16386)
The optional INITIAL_SIZE
parameter sets the
UNDO
file's initial size; if not specified, it
defaults to 128M
(128 megabytes). The optional
UNDO_BUFFER_SIZE
parameter sets the size used
by the UNDO
buffer for the log file group; The
default value for UNDO_BUFFER_SIZE
is
8M
(eight megabytes); this value cannot exceed
the amount of system memory available. Both of these parameters
are specified in bytes. In MySQL Cluster NDB 7.2.14 and later, you
may optionally follow either or both of these with a one-letter
abbreviation for an order of magnitude, similar to those used in
my.cnf
. Generally, this is one of the
letters M
(for megabytes) or
G
(for gigabytes). Prior to MySQL Cluster NDB
7.2.14, the values for these options could only be specified using
digits. (Bug #13116514, Bug #16104705, Bug #62858)
Memory used for UNDO_BUFFER_SIZE
comes from the
global pool whose size is determined by the value of the
SharedGlobalMemory
data
node configuration parameter. This includes any default value
implied for this option by the setting of the
InitialLogFileGroup
data
node configuration parameter.
The maximum permitted for UNDO_BUFFER_SIZE
is
629145600 (600 MB).
On 32-bit systems, the maximum supported value for
INITIAL_SIZE
is 4294967296 (4 GB). (Bug #29186)
The minimum allowed value for INITIAL_SIZE
is
1048576 (1 MB).
The ENGINE
option determines the storage engine
to be used by this log file group, with
engine_name
being the name of the
storage engine. In MySQL 5.5, this must be
NDB
(or
NDBCLUSTER
). If
ENGINE
is not set, MySQL tries to use the
engine specified by the
default_storage_engine
server
system variable (formerly
storage_engine
). In any case, if
the engine is not specified as NDB
or
NDBCLUSTER
, the CREATE
LOGFILE GROUP
statement appears to succeed but actually
fails to create the log file group, as shown here:
mysql>CREATE LOGFILE GROUP lg1
->ADD UNDOFILE 'undo.dat' INITIAL_SIZE = 10M;
Query OK, 0 rows affected, 1 warning (0.00 sec) mysql>SHOW WARNINGS;
+-------+------+------------------------------------------------------------------------------------------------+ | Level | Code | Message | +-------+------+------------------------------------------------------------------------------------------------+ | Error | 1478 | Table storage engine 'InnoDB' does not support the create option 'TABLESPACE or LOGFILE GROUP' | +-------+------+------------------------------------------------------------------------------------------------+ 1 row in set (0.00 sec) mysql>DROP LOGFILE GROUP lg1 ENGINE = NDB;
ERROR 1529 (HY000): Failed to drop LOGFILE GROUP mysql>CREATE LOGFILE GROUP lg1
->ADD UNDOFILE 'undo.dat' INITIAL_SIZE = 10M
->ENGINE = NDB;
Query OK, 0 rows affected (2.97 sec)
The fact that the CREATE LOGFILE GROUP
statement does not actually return an error when a
non-NDB
storage engine is named, but rather
appears to succeed, is a known issue which we hope to address in a
future release of MySQL Cluster.
REDO_BUFFER_SIZE
,
NODEGROUP
, WAIT
, and
COMMENT
are parsed but ignored, and so have no
effect in MySQL 5.5. These options are intended for
future expansion.
When used with ENGINE [=] NDB
, a log file group
and associated UNDO
log file are created on
each Cluster data node. You can verify that the
UNDO
files were created and obtain information
about them by querying the
INFORMATION_SCHEMA.FILES
table. For
example:
mysql>SELECT LOGFILE_GROUP_NAME, LOGFILE_GROUP_NUMBER, EXTRA
->FROM INFORMATION_SCHEMA.FILES
->WHERE FILE_NAME = 'undo_10.dat';
+--------------------+----------------------+----------------+ | LOGFILE_GROUP_NAME | LOGFILE_GROUP_NUMBER | EXTRA | +--------------------+----------------------+----------------+ | lg_3 | 11 | CLUSTER_NODE=3 | | lg_3 | 11 | CLUSTER_NODE=4 | +--------------------+----------------------+----------------+ 2 rows in set (0.06 sec)
CREATE LOGFILE GROUP
is useful only
with Disk Data storage for MySQL Cluster. See
Section 18.5.12, “MySQL Cluster Disk Data Tables”.
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 24.3, “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 20.7, “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 20.2.2, “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.
Routine parameters cannot be referenced in statements prepared within the routine; see Section D.1, “Restrictions on Stored Programs”.
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 20.1, “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, except that the COLLATE
attribute cannot be used prior to MySQL 5.5.3. As of 5.5.3,
COLLATE
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 D.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 in effect when a routine is created or altered,
and always executes the routine with this setting in force,
regardless of the current server SQL mode when the
routine begins executing.
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 20.7, “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
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 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 20.6, “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 6.3.13, “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.
Prior to MySQL 5.5.3, if there is a CHARACTER
SET
attribute in the declaration, the
COLLATE
attribute is not supported, and the
character set's default collation is used. (This includes use
of BINARY
, which in this context specifies
the binary collation of the character set.) If there is no
CHARACTER SET
attribute, the database
character set and its default collation (rather than the
database collation) are used.
If CHARACTER SET
and
COLLATE
attributes are not present, the
database character set and collation in effect at routine
creation time are used. To avoid having the server use the
database character set and collation, provide explicit
CHARACTER SET
and
COLLATE
attributes for character data
parameters.
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.
The database character set and collation are given by the
value of the
character_set_database
and
collation_database
system
variables. For more information, see
Section 10.1.3.2, “Database Character Set and Collation”.
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 15.9, “The FEDERATED Storage Engine”.
CREATE SERVER
causes an implicit
commit.
In MySQL 5.5, 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
] CREATE [TEMPORARY] TABLE [IF NOT EXISTS]tbl_name
[(create_definition
,...)] [table_options
] [partition_options
]select_statement
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}] [STORAGE {DISK|MEMORY|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
)] [BINARY] [CHARACTER SETcharset_name
] [COLLATEcollation_name
] | VARCHAR(length
) [BINARY] [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} | TABLESPACEtablespace_name
[STORAGE {DISK|MEMORY|DEFAULT}] | UNION [=] (tbl_name
[,tbl_name
]...)partition_options
: PARTITION BY { [LINEAR] HASH(expr
) | [LINEAR] KEY [ALGORITHM={1|2}] (column_list
) | RANGE{(expr
) | COLUMNS(column_list
)} | LIST{(expr
) | COLUMNS(column_list
)} } [PARTITIONSnum
] [SUBPARTITION BY { [LINEAR] HASH(expr
) | [LINEAR] KEY [ALGORITHM={1|2}] (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
] [TABLESPACE [=]tablespace_name
] [NODEGROUP [=]node_group_id
] [(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
] [TABLESPACE [=]tablespace_name
] [NODEGROUP [=]node_group_id
]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`
.
Use CREATE TABLE ... 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
;
For more information, see Section 13.1.17.1, “CREATE TABLE ... LIKE Syntax”.
To create one table from another, add a
SELECT
statement at the end of the
CREATE TABLE
statement:
CREATE TABLEnew_tbl
SELECT * FROMorig_tbl
;
For more information, see Section 13.1.17.2, “CREATE TABLE ... SELECT Syntax”.
You can use the TEMPORARY
keyword when creating
a table. A TEMPORARY
table is visible only to
the current session, and is dropped automatically when the session
is closed. This means that two different sessions 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.
TEMPORARY
tables have a very loose
relationship with databases (schemas). Dropping a database does
not automatically drop any TEMPORARY
tables
created within that database. Also, you can create a
TEMPORARY
table in a nonexistent database if
you qualify the table name with the database name in the
CREATE TABLE
statement. In this case, all
subsequent references to the table must be qualified with the
database name.
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 15, Alternative 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 11.5, “Extensions for Spatial Data”.
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 23.8.7.37, “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 14.8.5, “AUTO_INCREMENT Handling in InnoDB”. For
information about AUTO_INCREMENT
and MySQL
Replication, see
Section 17.4.1.1, “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 5.5 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”.
If a column definition includes no explicit
DEFAULT
value, MySQL determines the default
value as described in Section 11.6, “Data Type Default Values”.
BLOB
and
TEXT
columns cannot be assigned
a default value.
CREATE TABLE
fails if a
date-valued default is not correct according to the
NO_ZERO_IN_DATE
SQL mode,
even if strict SQL mode is not enabled. For example,
c1 DATE DEFAULT '2010-00-00'
causes
CREATE TABLE
to fail with
Invalid default value for 'c1'
.
A comment for a column can be specified with the
COMMENT
option, up to 1024 characters long
(255 characters before MySQL 5.5.3). The comment is displayed
by the SHOW CREATE TABLE
and
SHOW FULL
COLUMNS
statements.
In MySQL Cluster, it is also possible to specify a data
storage format for individual columns of
NDB
tables using
COLUMN_FORMAT
. Permissible column formats
are FIXED
, DYNAMIC
, and
DEFAULT
. FIXED
is used
to specify fixed-width storage, DYNAMIC
permits the column to be variable-width, and
DEFAULT
causes the column to use
fixed-width or variable-width storage as determined by the
column's data type (possibly overridden by a
ROW_FORMAT
specifier).
For NDB
tables, the default value
for COLUMN_FORMAT
is
DEFAULT
.
COLUMN_FORMAT
currently has no effect on
columns of tables using storage engines other than
NDB
. In MySQL 5.5
and later, COLUMN_FORMAT
is silently
ignored.
For NDB
tables, it is also
possible to specify whether the column is stored on disk or in
memory by using a STORAGE
clause.
STORAGE DISK
causes the column to be stored
on disk, and STORAGE MEMORY
causes
in-memory storage to be used. The CREATE
TABLE
statement used must still include a
TABLESPACE
clause:
mysql>CREATE TABLE t1 (
->c1 INT STORAGE DISK,
->c2 INT STORAGE MEMORY
->) ENGINE NDB;
ERROR 1005 (HY000): Can't create table 'c.t1' (errno: 140) mysql>CREATE TABLE t1 (
->c1 INT STORAGE DISK,
->c2 INT STORAGE MEMORY
->) TABLESPACE ts_1 ENGINE NDB;
Query OK, 0 rows affected (1.06 sec)
For NDB
tables, STORAGE
DEFAULT
is equivalent to STORAGE
MEMORY
.
The STORAGE
clause has no effect on tables
using storage engines other than
NDB
. The
STORAGE
keyword is supported only in the
build of mysqld that is supplied with MySQL
Cluster; it is not recognized in any other version of MySQL,
where any attempt to use the STORAGE
keyword causes a syntax error.
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 14.5.6, “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, “SHOW INDEX Syntax”.
tbl_name
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 13.1.13, “CREATE INDEX Syntax”.
For more information about indexes, see Section 8.3.1, “How MySQL Uses Indexes”.
In MySQL 5.5, 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 767 bytes long for
InnoDB
tables or 3072 bytes if the
innodb_large_prefix
option is
enabled.
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
multibyte 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
MyISAM
storage engine supports
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 24.2, “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 11.5, “Extensions for Spatial Data”.
As of MySQL 5.5.3, index definitions can include an optional comment of up to 1024 characters.
InnoDB
tables support checking of
foreign key constraints. The columns of the referenced table
must always be explicitly named. Both ON
DELETE
and ON UPDATE
actions on
foreign keys. For more detailed information and examples, see
Section 13.1.17.3, “Using FOREIGN KEY Constraints”. For information
specific to foreign keys in InnoDB
, see
Section 14.8.6, “InnoDB and 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 1.7.2.3, “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 requires that the referenced columns be
indexed for performance. However, InnoDB
does not enforce any requirement that the referenced columns
be declared UNIQUE
or 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 keys that are both UNIQUE
(or PRIMARY
) and NOT
NULL
.
MySQL parses but ignores “inline
REFERENCES
specifications” (as
defined in the SQL standard) where the references are
defined as part of the column specification. MySQL accepts
REFERENCES
clauses only when specified as
part of a separate FOREIGN KEY
specification.
Partitioned tables employing the
InnoDB
storage engine do not
support foreign keys. See
Section 19.5, “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 D.10.4, “Limits on Table Column Count and Row Size”.
The TABLESPACE
and STORAGE
table options are employed only with
NDBCLUSTER
tables. The tablespace
named tablespace_name
must already have
been created using CREATE
TABLESPACE
. STORAGE
determines the
type of storage used (disk or memory), and can be one of
DISK
, MEMORY
, or
DEFAULT
.
TABLESPACE ... STORAGE DISK
assigns a table to
a MySQL Cluster Disk Data tablespace. See
Section 18.5.12, “MySQL Cluster Disk Data Tables”, for more information.
A STORAGE
clause cannot be used in a
CREATE TABLE
statement without a
TABLESPACE
clause.
The ENGINE
table option specifies the storage
engine for the table.
The ENGINE
table option specifies the storage
engine for the table, using one of the names shown in the
following table. The engine name can be unquoted or quoted. The
quoted name 'DEFAULT'
is equivalent to
specifying the default storage engine name.
Storage Engine | Description |
---|---|
InnoDB | Transaction-safe tables with row locking and foreign keys. The default
storage engine for new tables. See
Chapter 14, The InnoDB Storage Engine, and in particular
Section 14.1.2, “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 15.3, “The MyISAM Storage Engine”. |
MEMORY | The data for this storage engine is stored only in memory. See Section 15.4, “The MEMORY Storage Engine”. |
CSV | Tables that store rows in comma-separated values format. See Section 15.5, “The CSV Storage Engine”. |
ARCHIVE | The archiving storage engine. See Section 15.6, “The ARCHIVE Storage Engine”. |
EXAMPLE | An example engine. See Section 15.10, “The EXAMPLE Storage Engine”. |
FEDERATED | Storage engine that accesses remote tables. See Section 15.9, “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 15.8, “The MERGE Storage Engine”. |
NDBCLUSTER | Clustered, fault-tolerant, memory-based tables. Also known as
NDB . See
Chapter 18, MySQL Cluster NDB 7.2. |
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
5.5, 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 was synonymous with
ENGINE
. TYPE
was
deprecated in MySQL 4.0 and 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 5.5, 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 (60 characters before MySQL 5.5.3).
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='
or
directory
'INDEX
DIRECTORY='
you
can specify where the directory
'MyISAM
storage engine
should put a table's data file and index file. The directory
must be the full path name to the directory, not a relative
path.
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 8.12.4.2, “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 15.8, “The MERGE Storage Engine”.
KEY_BLOCK_SIZE
For compressed
InnoDB
tables, optionally specifies the
size in kilobytes to use for
pages. Possible
KEY_BLOCK_SIZE
values include 0, 1, 2, 4,
8, and 16. 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 14.9, “InnoDB Table 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.
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 NDB
storage engine treats
this value as a maximum. If you plan to create very large
MySQL Cluster tables (containing millions of rows), you should
use this option to insure that
NDB
allocates sufficient number
of index slots in the hash table used for storing hashes of
the table's primary keys by setting MAX_ROWS = 2
*
, where
rows
rows
is the number of rows that you
expect to insert into the table.
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.
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 14.9, “InnoDB Table Compression”.
For more efficient InnoDB
storage of
data types, especially BLOB
types, specify ROW_FORMAT=DYNAMIC
and
follow the procedures in
Section 14.11.3, “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.
For additional information about InnoDB
row formats, see Section 14.11, “InnoDB Row Storage and Row Formats”.
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 15.3.3, “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.
UNION
is used when you want to
access a collection of identical MyISAM
tables as one. This works only with MERGE
tables. See Section 15.8, “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 19, 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 5.5 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 19.2.4, “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 19.2.4.1, “LINEAR HASH Partitioning”.
KEY [ALGORITHM={1|2}]
(
: 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 19.2.4.1, “LINEAR HASH Partitioning”, and
Section 19.2.5, “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;
The ALGORITHM={1|2}
option is supported
with [SUB]PARTITION BY [LINEAR] KEY
beginning with MySQL 5.5.31. ALGORITHM=1
causes the server to use the same key-hashing functions as
MySQL 5.1; ALGORITHM=2
means that the
server employs the key-hashing functions implemented and used
by default for new KEY
partitioned tables
in MySQL 5.5 and later. (Partitioned tables created with the
key-hashing functions employed in MySQL 5.5 and later cannot
be used by a MySQL 5.1 server.) Not specifying the option has
the same effect as using ALGORITHM=2
. This
option is intended for use chiefly when upgrading or
downgrading [LINEAR] KEY
partitioned tables
between MySQL 5.1 and later MySQL versions, or for creating
tables partitioned by KEY
or
LINEAR KEY
on a MySQL 5.5 or later server
which can be used on a MySQL 5.1 server. For more information,
see Section 13.1.7.1, “ALTER TABLE Partition Operations”.
mysqldump in MySQL 5.5.31 and later writes this option encased in versioned comments, like this:
CREATE TABLE t1 (a INT)
/*!50100 PARTITION BY KEY */ /*!50531 ALGORITHM = 1 */ /*!50100 ()
PARTITIONS 3 */
This causes MySQL 5.5.30 and earlier servers to ignore the
option, which would otherwise cause a syntax error in those
versions. If you plan to load a dump made on a MySQL 5.5.31 or
later MySQL 5.5 server where you use tables that are
partitioned or subpartitioned by KEY
into a
MySQL 5.6 server previous to version 5.6.11, be sure to
consult
Upgrading from MySQL 5.5 to 5.6,
before proceeding. (The information found there also applies
if you are loading a dump containing KEY
partitioned or subpartitioned tables made from a MySQL 5.6.11
or later server into a MySQL 5.5.30 or earlier server.)
Also in MySQL 5.5.31 and later, ALGORITHM=1
is shown when necessary in the output of
SHOW CREATE TABLE
using
versioned comments in the same manner as
mysqldump. ALGORITHM=2
is always omitted from SHOW CREATE TABLE
output, even if this option was specified when creating the
original table.
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 5.5, 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.
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
was introduced in
MySQL 5.5.0 to facilitate 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 19.2.1, “RANGE Partitioning”, and Section 19.4, “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 5.5, 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
was introduced in
MySQL 5.5.0 to facilitate 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 19, 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'
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. 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 optional TABLESPACE
clause may be used
to designate a tablespace for the partition. Used for MySQL
Cluster only.
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 NODEGROUP
option can be used to make
this partition act as part of the node group identified by
node_group_id
. This option is
applicable only to MySQL Cluster.
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 19.2.6, “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 13.1.7, “ALTER TABLE Syntax”. For more detailed descriptions and examples, see Section 19.3, “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.
Use CREATE TABLE ... 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 5.5.3, you cannot execute CREATE
TABLE
or CREATE TABLE ... LIKE
while a LOCK TABLES
statement
is in effect.
Also as of MySQL 5.5.3,
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
[AS] 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
, 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 5.5.18 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 17.1.2.1, “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 column in the created table:
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
.
MySQL supports foreign keys, which let you cross-reference
related data across tables, and
foreign key
constraints, which help keep this spread-out data
consistent. The essential syntax for a foreign key constraint
definition in a CREATE TABLE
or
ALTER TABLE
statement looks like
this:
[CONSTRAINT [symbol
]] FOREIGN KEY [index_name
] (index_col_name
, ...) REFERENCEStbl_name
(index_col_name
,...) [ON DELETEreference_option
] [ON UPDATEreference_option
]reference_option
: RESTRICT | CASCADE | SET NULL | NO ACTION
index_name
represents a foreign key
ID. The index_name
value is ignored
if there is already an explicitly defined index on the child
table that can support the foreign key. Otherwise, MySQL
implicitly creates a foreign key index that is named according
to the following rules:
If defined, the CONSTRAINT
symbol
value is used. Otherwise,
the FOREIGN KEY
index_name
value is used.
If neither a CONSTRAINT
symbol
or FOREIGN
KEY
index_name
is
defined, the foreign key index name is generated using the
name of the referencing foreign key column.
Foreign keys definitions are subject to the following conditions:
Foreign key relationships involve a
parent table that
holds the central data values, and a
child table with
identical values pointing back to its parent. The
FOREIGN KEY
clause is specified in the
child table. The parent and child tables must use the same
storage engine. They must not be
TEMPORARY
tables.
In MySQL 5.5, creation of a foreign key
constraint requires at least one of the
SELECT
,
INSERT
,
UPDATE
,
DELETE
, or
REFERENCES
privileges for the
parent table as of 5.5.41.
Corresponding columns in the foreign key and the referenced key must have similar data types. The size and sign of integer types must be the same. The length of string types need not be the same. For nonbinary (character) string columns, the character set and collation must be the same.
MySQL requires indexes on foreign keys and referenced keys
so that foreign key checks can be fast and not require a
table scan. In the referencing table, there must be an index
where the foreign key columns are listed as the
first columns in the same order. Such
an index is created on the referencing table automatically
if it does not exist. This index might be silently dropped
later, if you create another index that can be used to
enforce the foreign key constraint.
index_name
, if given, is used as
described previously.
InnoDB
permits a foreign key to reference
any index column or group of columns. However, in the
referenced table, there must be an index where the
referenced columns are listed as the
first columns in the same order.
Index prefixes on foreign key columns are not supported. One
consequence of this is that
BLOB
and
TEXT
columns cannot be
included in a foreign key because indexes on those columns
must always include a prefix length.
If the CONSTRAINT
clause is given,
the symbol
symbol
value, if used, must
be unique in the database. A duplicate
symbol
will result in an error
similar to: ERROR 1005 (HY000): Can't create
table 'test.#sql-211d_3' (errno: 121). If the
clause is not given, or a symbol
is not included following the CONSTRAINT
keyword, a name for the constraint is created automatically.
InnoDB
does not currently
support foreign keys for tables with user-defined
partitioning. This includes both parent and child tables.
This section describes how foreign keys help guarantee referential integrity.
For storage engines supporting foreign keys, MySQL rejects any
INSERT
or
UPDATE
operation that attempts to
create a foreign key value in a child table if there is no a
matching candidate key value in the parent table.
When an UPDATE
or
DELETE
operation affects a key
value in the parent table that has matching rows in the child
table, the result depends on the referential
action specified using ON UPDATE
and ON DELETE
subclauses of the
FOREIGN KEY
clause. MySQL supports five
options regarding the action to be taken, listed here:
CASCADE
: Delete or update the row from
the parent table, and automatically delete or update the
matching rows in the child table. Both ON DELETE
CASCADE
and ON UPDATE CASCADE
are supported. Between two tables, do not define several
ON UPDATE CASCADE
clauses that act on the
same column in the parent table or in the child table.
Currently, cascaded foreign key actions do not activate triggers.
SET NULL
: Delete or update the row from
the parent table, and set the foreign key column or columns
in the child table to NULL
. Both
ON DELETE SET NULL
and ON UPDATE
SET NULL
clauses are supported.
If you specify a SET NULL
action,
make sure that you have not declared the columns
in the child table as NOT
NULL
.
RESTRICT
: Rejects the delete or update
operation for the parent table. Specifying
RESTRICT
(or NO
ACTION
) is the same as omitting the ON
DELETE
or ON UPDATE
clause.
NO ACTION
: A keyword from standard SQL.
In MySQL, equivalent to RESTRICT
. The
MySQL Server rejects the delete or update operation for the
parent table if there is a related foreign key value in the
referenced table. Some database systems have deferred
checks, and NO ACTION
is a deferred
check. In MySQL, foreign key constraints are checked
immediately, so NO ACTION
is the same as
RESTRICT
.
SET DEFAULT
: This action is recognized by
the MySQL parser, but InnoDB
rejects table definitions containing ON DELETE SET
DEFAULT
or ON UPDATE SET
DEFAULT
clauses.
For an ON DELETE
or ON
UPDATE
that is not specified, the default action is
always RESTRICT
.
MySQL supports foreign key references between one column and another within a table. (A column cannot have a foreign key reference to itself.) In these cases, “child table records” really refers to dependent records within the same table.
Here is a simple example that relates parent
and child
tables through a single-column
foreign key:
CREATE TABLE parent ( id INT NOT NULL, PRIMARY KEY (id) ) ENGINE=INNODB; CREATE TABLE child ( id INT, parent_id INT, INDEX par_ind (parent_id), FOREIGN KEY (parent_id) REFERENCES parent(id) ON DELETE CASCADE ) ENGINE=INNODB;
A more complex example in which a
product_order
table has foreign keys for two
other tables. One foreign key references a two-column index in
the product
table. The other references a
single-column index in the customer
table:
CREATE TABLE product ( category INT NOT NULL, id INT NOT NULL, price DECIMAL, PRIMARY KEY(category, id) ) ENGINE=INNODB; CREATE TABLE customer ( id INT NOT NULL, PRIMARY KEY (id) ) ENGINE=INNODB; CREATE TABLE product_order ( no INT NOT NULL AUTO_INCREMENT, product_category INT NOT NULL, product_id INT NOT NULL, customer_id INT NOT NULL, PRIMARY KEY(no), INDEX (product_category, product_id), INDEX (customer_id), FOREIGN KEY (product_category, product_id) REFERENCES product(category, id) ON UPDATE CASCADE ON DELETE RESTRICT, FOREIGN KEY (customer_id) REFERENCES customer(id) ) ENGINE=INNODB;
You can add a new foreign key constraint to an existing table by
using ALTER TABLE
. The syntax
relating to foreign keys for this statement is shown here:
ALTER TABLEtbl_name
ADD [CONSTRAINT [symbol
]] FOREIGN KEY [index_name
] (index_col_name
, ...) REFERENCEStbl_name
(index_col_name
,...) [ON DELETEreference_option
] [ON UPDATEreference_option
]
The foreign key can be self referential (referring to the same
table). When you add a foreign key constraint to a table using
ALTER TABLE
, remember
to create the required indexes first.
You can also use ALTER TABLE
to
drop foreign keys, using the syntax shown here:
ALTER TABLEtbl_name
DROP FOREIGN KEYfk_symbol
;
If the FOREIGN KEY
clause included a
CONSTRAINT
name when you created the foreign
key, you can refer to that name to drop the foreign key.
Otherwise, the fk_symbol
value is
generated internally when the foreign key is created. To find
out the symbol value when you want to drop a foreign key, use a
SHOW CREATE TABLE
statement, as
shown here:
mysql>SHOW CREATE TABLE ibtest11c\G
*************************** 1. row *************************** Table: ibtest11c Create Table: CREATE TABLE `ibtest11c` ( `A` int(11) NOT NULL auto_increment, `D` int(11) NOT NULL default '0', `B` varchar(200) NOT NULL default '', `C` varchar(175) default NULL, PRIMARY KEY (`A`,`D`,`B`), KEY `B` (`B`,`C`), KEY `C` (`C`), CONSTRAINT `0_38775` FOREIGN KEY (`A`, `D`) REFERENCES `ibtest11a` (`A`, `D`) ON DELETE CASCADE ON UPDATE CASCADE, CONSTRAINT `0_38776` FOREIGN KEY (`B`, `C`) REFERENCES `ibtest11a` (`B`, `C`) ON DELETE CASCADE ON UPDATE CASCADE ) ENGINE=INNODB CHARSET=latin1 1 row in set (0.01 sec) mysql>ALTER TABLE ibtest11c DROP FOREIGN KEY `0_38775`;
Adding and dropping a foreign key in separate clauses of a
single ALTER TABLE
statement may
be problematic in some cases and is therefore unsupported. Use
separate statements for each operation.
If an ALTER TABLE
statement
results in changes to column values (for example, because a
column is truncated), MySQL's foreign key constraint checks
do not notice possible violations caused by changing the values.
Table and column identifiers in a FOREIGN KEY ...
REFERENCES ...
clause can be quoted within backticks
(`
). Alternatively, double quotation marks
("
) can be used if the
ANSI_QUOTES
SQL mode is
enabled. The setting of the
lower_case_table_names
system
variable is also taken into account.
You can view a child table's foreign key definitions as
part of the output of the SHOW CREATE
TABLE
statement:
SHOW CREATE TABLE tbl_name
;
You can also obtain information about foreign keys by querying
the
INFORMATION_SCHEMA.KEY_COLUMN_USAGE
table.
mysqldump produces correct definitions of tables in the dump file, including the foreign keys for child tables.
To make it easier to reload dump files for tables that have
foreign key relationships, mysqldump
automatically includes a statement in the dump output to set
foreign_key_checks
to 0. This
avoids problems with tables having to be reloaded in a
particular order when the dump is reloaded. It is also possible
to set this variable manually:
mysql>SET foreign_key_checks = 0;
mysql>SOURCE
mysql>dump_file_name
;SET foreign_key_checks = 1;
This enables you to import the tables in any order if the dump
file contains tables that are not correctly ordered for foreign
keys. It also speeds up the import operation. Setting
foreign_key_checks
to 0 can
also be useful for ignoring foreign key constraints during
LOAD DATA
and
ALTER TABLE
operations. However,
even if foreign_key_checks = 0
,
MySQL does not permit the creation of a foreign key constraint
where a column references a nonmatching column type. Also, if a
table has foreign key constraints, ALTER
TABLE
cannot be used to alter the table to use another
storage engine. To change the storage engine, you must drop any
foreign key constraints first.
You cannot issue DROP TABLE
for a
table that is referenced by a FOREIGN KEY
constraint, unless you do SET foreign_key_checks =
0
. When you drop a table, any constraints that were
defined in the statement used to create that table are also
dropped.
If you re-create a table that was dropped, it must have a
definition that conforms to the foreign key constraints
referencing it. It must have the correct column names and types,
and it must have indexes on the referenced keys, as stated
earlier. If these are not satisfied, MySQL returns Error 1005
and refers to Error 150 in the error message, which means that a
foreign key constraint was not correctly formed. Similarly, if
an ALTER TABLE
fails due to Error
150, this means that a foreign key definition would be
incorrectly formed for the altered table.
For InnoDB
tables, you can obtain a detailed
explanation of the most recent InnoDB
foreign
key error in the MySQL Server, by checking the output of
SHOW ENGINE INNODB
STATUS
.
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. MySQL 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 requires that the referenced columns be
indexed for performance reasons. 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
(including
PRIMARY
) and NOT NULL
keys.
Furthermore, MySQL parses but ignores “inline
REFERENCES
specifications” (as
defined in the SQL standard) where the references are defined
as part of the column specification. MySQL accepts
REFERENCES
clauses only when specified as
part of a separate FOREIGN KEY
specification. For storage engines that do not support foreign
keys (such as MyISAM
), MySQL
Server parses and ignores foreign key specifications.
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 D.10.4, “Limits on Table Column Count and Row Size”.
TIMESTAMP
display sizes are
discarded.
Also note that TIMESTAMP
columns are NOT NULL
by default.
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 11.9, “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 15.3.3.3, “Compressed Table Characteristics”.
CREATE TABLESPACEtablespace_name
ADD DATAFILE 'file_name
' USE LOGFILE GROUPlogfile_group
[EXTENT_SIZE [=]extent_size
] [INITIAL_SIZE [=]initial_size
] [AUTOEXTEND_SIZE [=]autoextend_size
] [MAX_SIZE [=]max_size
] [NODEGROUP [=]nodegroup_id
] [WAIT] [COMMENT [=]comment_text
] ENGINE [=]engine_name
This statement is used to create a tablespace, which can contain
one or more data files, providing storage space for tables. One
data file is created and added to the tablespace using this
statement. Additional data files may be added to the tablespace by
using the ALTER TABLESPACE
statement (see Section 13.1.8, “ALTER TABLESPACE Syntax”). For rules
covering the naming of tablespaces, see
Section 9.2, “Schema Object Names”.
All MySQL Cluster Disk Data objects share the same namespace. This means that each Disk Data object must be uniquely named (and not merely each Disk Data object of a given type). For example, you cannot have a tablespace and a log file group with the same name, or a tablespace and a data file with the same name.
A log file group of one or more UNDO
log files
must be assigned to the tablespace to be created with the
USE LOGFILE GROUP
clause.
logfile_group
must be an existing log
file group created with CREATE LOGFILE
GROUP
(see Section 13.1.14, “CREATE LOGFILE GROUP Syntax”).
Multiple tablespaces may use the same log file group for
UNDO
logging.
The EXTENT_SIZE
sets the size, in bytes, of the
extents used by any files belonging to the tablespace. The default
value is 1M. The minimum size is 32K, and theoretical maximum is
2G, although the practical maximum size depends on a number of
factors. In most cases, changing the extent size does not have any
measurable effect on performance, and the default value is
recommended for all but the most unusual situations.
An extent is a unit of disk space
allocation. One extent is filled with as much data as that extent
can contain before another extent is used. In theory, up to 65,535
(64K) extents may used per data file; however, the recommended
maximum is 32,768 (32K). The recommended maximum size for a single
data file is 32G—that is, 32K extents × 1 MB per
extent. In addition, once an extent is allocated to a given
partition, it cannot be used to store data from a different
partition; an extent cannot store data from more than one
partition. This means, for example that a tablespace having a
single datafile whose INITIAL_SIZE
is 256 MB
and whose EXTENT_SIZE
is 128M has just two
extents, and so can be used to store data from at most two
different disk data table partitions.
You can see how many extents remain free in a given data file by
querying the INFORMATION_SCHEMA.FILES
table, and so derive an estimate for how much space remains free
in the file. For further discussion and examples, see
Section 21.29.1, “The INFORMATION_SCHEMA FILES Table”.
The INITIAL_SIZE
parameter sets the data file's
total size in bytes. Once the file has been created, its size
cannot be changed; however, you can add more data files to the
tablespace using ALTER TABLESPACE ... ADD
DATAFILE
. See Section 13.1.8, “ALTER TABLESPACE Syntax”.
INITIAL_SIZE
is optional; its default value is
134217728 (128 MB).
On 32-bit systems, the maximum supported value for
INITIAL_SIZE
is 4294967296 (4 GB). (Bug #29186)
When setting EXTENT_SIZE
, you may optionally
follow the number with a one-letter abbreviation for an order of
magnitude, similar to those used in my.cnf
.
Generally, this is one of the letters M
(for
megabytes) or G
(for gigabytes). In MySQL
Cluster NDB 7.2.14 and later, these abbreviations are also
supported when specifying INITIAL_SIZE
as well.
(Bug #13116514, Bug #16104705, Bug #62858)
INITIAL_SIZE
, EXTENT_SIZE
,
and UNDO_BUFFER_SIZE
are subject to rounding as
follows:
EXTENT_SIZE
and
UNDO_BUFFER_SIZE
are each rounded up to the
nearest whole multiple of 32K.
INITIAL_SIZE
is rounded
down to the nearest whole multiple of
32K.
For data files, INITIAL_SIZE is subject
to further rounding; the result just obtained is rounded up to
the nearest whole multiple of EXTENT_SIZE
(after any rounding).
The rounding just described is done explicitly, and a warning is
issued by the MySQL Server when any such rounding is performed.
The rounded values are also used by the NDB kernel for calculating
INFORMATION_SCHEMA.FILES
column
values and other purposes. However, to avoid an unexpected result,
we suggest that you always use whole multiples of 32K in
specifying these options.
AUTOEXTEND_SIZE
, MAX_SIZE
,
NODEGROUP
, WAIT
, and
COMMENT
are parsed but ignored, and so
currently have no effect. These options are intended for future
expansion.
The ENGINE
parameter determines the storage
engine which uses this tablespace, with
engine_name
being the name of the
storage engine. Currently, engine_name
must be one of the values NDB
or
NDBCLUSTER
.
When CREATE TABLESPACE
is used with
ENGINE = NDB
, a tablespace and associated data
file are created on each Cluster data node. You can verify that
the data files were created and obtain information about them by
querying the INFORMATION_SCHEMA.FILES
table. For example:
mysql>SELECT LOGFILE_GROUP_NAME, FILE_NAME, EXTRA
->FROM INFORMATION_SCHEMA.FILES
->WHERE TABLESPACE_NAME = 'newts' AND FILE_TYPE = 'DATAFILE';
+--------------------+-------------+----------------+ | LOGFILE_GROUP_NAME | FILE_NAME | EXTRA | +--------------------+-------------+----------------+ | lg_3 | newdata.dat | CLUSTER_NODE=3 | | lg_3 | newdata.dat | CLUSTER_NODE=4 | +--------------------+-------------+----------------+ 2 rows in set (0.01 sec)
(See Section 21.29.1, “The INFORMATION_SCHEMA FILES Table”.)
CREATE TABLESPACE
is useful only
with Disk Data storage for MySQL Cluster. See
Section 18.5.12, “MySQL Cluster Disk Data Tables”.
CREATE [DEFINER = {user
| CURRENT_USER }] TRIGGERtrigger_name
trigger_time
trigger_event
ONtbl_name
FOR EACH ROWtrigger_body
trigger_time
: { BEFORE | AFTER }trigger_event
: { INSERT | UPDATE | DELETE }
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.
Trigger names exist in the schema namespace, meaning that all triggers must have unique names within a schema. Triggers in different schemas can have the same name.
This section describes CREATE
TRIGGER
syntax. For additional discussion, see
Section 20.3.1, “Trigger Syntax and Examples”.
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 20.7, “Binary Logging of Stored Programs”.
The DEFINER
clause determines the security
context to be used when checking access privileges at trigger
activation time, as described later in this section.
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
operation that activates the trigger. These
trigger_event
values are permitted:
INSERT
: The trigger activates
whenever a new row is inserted into the table; for example,
through INSERT
,
LOAD DATA
, and
REPLACE
statements.
UPDATE
: The trigger activates
whenever a row is modified; for example, through
UPDATE
statements.
DELETE
: The trigger activates
whenever a row is deleted from the table; for example, through
DELETE
and
REPLACE
statements.
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.
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 activates not only
for 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 activates 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.
Cascaded foreign key actions do not activate triggers.
There cannot be multiple triggers for a given table that have the
same trigger event and action time. 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. 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 D.1, “Restrictions on Stored Programs”.
Within the trigger body, 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 in effect when a trigger is created, and always
executes the trigger body with this setting in force,
regardless of the current server SQL mode when the
trigger begins executing.
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 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 for
the subject table.
The SELECT
privilege for
the subject table if references to table columns occur
using
OLD.
or
col_name
NEW.
in the trigger body.
col_name
The UPDATE
privilege for
the subject table if table columns are targets of
SET NEW.
assignments in
the trigger body.
col_name
=
value
Whatever other privileges normally are required for the statements executed by the trigger.
For more information about trigger security, see Section 20.6, “Access Control for Stored Programs and Views”.
Within a trigger body, 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 6.3.13, “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”.
For additional discussion of trigger use, see Section 20.3.1, “Trigger Syntax and Examples”.
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 view 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. (Selecting from the view selects, in
effect, using the SELECT
statement.) The select_statement
can
select from base tables or other views.
The view definition is “frozen” at creation time.
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, use db_name.view_name
syntax
to qualify the view name with the database name:
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, or
expressions that use functions, constant values, operators, and so
forth.
A view must have unique column names with no duplicates, just like
a base table. 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 appropriate 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 variables or user-defined variables.
Within a stored program, the
SELECT
statement 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.
After the 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.
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 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
(the default)
and INVOKER
. These indicate that the required
privileges must be held by the user who defined or invoked the
view, respectively.
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 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 20.6, “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 6.3.13, “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
.
MySQL checks view privileges 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 20.5.2, “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 20.5.3, “Updatable and Insertable Views”, and
Section 20.5.4, “The View WITH CHECK OPTION Clause”.
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 13.7.1.3, “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.
Dropping a database does not remove any
TEMPORARY
tables that were created in that
database. TEMPORARY
tables are automatically
removed when the session that created them ends. See
Temporary Tables.
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 13.1.26, “DROP PROCEDURE and DROP FUNCTION Syntax”.
For information about dropping user-defined functions, see Section 13.7.3.2, “DROP FUNCTION Syntax”.
DROP [ONLINE|OFFLINE] INDEXindex_name
ONtbl_name
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 13.1.7, “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;
Indexes on variable-width columns of
NDB
tables are dropped online; that
is, without any table copying. The table is not locked against
access from other MySQL Cluster API nodes, although it is locked
against other operations on the same API node
for the duration of the operation. This is done automatically by
the server whenever it determines that it is possible to do so;
you do not have to use any special SQL syntax or server options to
cause it to happen.
In standard MySQL 5.5 releases, it is not possible to
override the server when it determines that an index is to be
dropped without table copying. In MySQL Cluster, you can drop
indexes offline (which causes the table to be locked for all API
nodes in the cluster) using the OFFLINE
keyword. The rules and limitations governing DROP OFFLINE
INDEX
and DROP ONLINE INDEX
are the
same as for ALTER OFFLINE TABLE ... DROP INDEX
and ALTER ONLINE TABLE ... DROP INDEX
. You
cannot cause the noncopying dropping of an index that would
normally be dropped offline by using the ONLINE
keyword: If it is not possible to perform the
DROP
operation without table copying, the
server ignores the ONLINE
keyword. For more
information, see Section 13.1.7.2, “ALTER TABLE Online Operations in MySQL Cluster”.
The ONLINE
and OFFLINE
keywords are available only in MySQL Cluster; attempting to use
these keywords in standard MySQL Server 5.5 releases
results in a syntax error.
DROP LOGFILE GROUPlogfile_group
ENGINE [=]engine_name
This statement drops the log file group named
logfile_group
. The log file group must
already exist or an error results. (For information on creating
log file groups, see Section 13.1.14, “CREATE LOGFILE GROUP Syntax”.)
Before dropping a log file group, you must drop all tablespaces
that use that log file group for UNDO
logging.
The required ENGINE
clause provides the name of
the storage engine used by the log file group to be dropped.
Currently, the only permitted values for
engine_name
are
NDB
and
NDBCLUSTER
.
DROP LOGFILE GROUP
is useful only
with Disk Data storage for MySQL Cluster. See
Section 18.5.12, “MySQL Cluster Disk Data Tables”.
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 20.2.2, “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 13.1.16, “CREATE SERVER Syntax”.
DROP SERVER
does not cause an automatic commit.
In MySQL 5.5, 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 13.7.1.3, “GRANT Syntax”.
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 5.5, 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 TABLESPACEtablespace_name
ENGINE [=]engine_name
This statement drops a tablespace that was previously created
using CREATE TABLESPACE
(see
Section 13.1.18, “CREATE TABLESPACE Syntax”).
The tablespace to be dropped must not contain any data files; in
other words, before you can drop a tablespace, you must first
drop each of its data files using ALTER TABLESPACE ...
DROP DATAFILE
(see
Section 13.1.8, “ALTER TABLESPACE Syntax”).
The ENGINE
clause (required) specifies the
storage engine used by the tablespace. Currently, the only
accepted values for engine_name
are
NDB
and
NDBCLUSTER
.
DROP TABLESPACE
is useful only with
Disk Data storage for MySQL Cluster. See
Section 18.5.12, “MySQL Cluster Disk Data Tables”.
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.
When upgrading from a version of MySQL older than MySQL 5.0.10
to 5.0.10 or newer—including all MySQL 5.5
releases—you must drop all triggers and re-create them.
Otherwise, DROP TRIGGER
does not
work for older triggers after the upgrade. See
Section 2.11.1.1, “Upgrading from MySQL 5.1 to 5.5”, for a
suggested upgrade procedure.
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;
If the rename operation would move the table to a database located on a different file system, outcome success is platform specific and depends on the underlying operating system calls used to move table files.
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 5.5:
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 22.7.5, “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
). As of MySQL 5.5.3,
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 23.8.17, “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.
As of MySQL 5.5.3, 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 23.8.20, “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.
Single-table syntax:
DELETE [LOW_PRIORITY] [QUICK] [IGNORE] FROMtbl_name
[WHEREwhere_condition
] [ORDER BY ...] [LIMITrow_count
]
Multiple-table syntax:
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
]
For the single-table syntax, the
DELETE
statement deletes rows from
tbl_name
and returns a count of the
number of deleted rows. This count can be obtained by calling the
ROW_COUNT()
function (see
Section 12.14, “Information Functions”). The
WHERE
clause, if given, specifies the
conditions that identify which rows to delete. With no
WHERE
clause, all rows are deleted. 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.
For the multiple-table syntax,
DELETE
deletes from each
tbl_name
the rows that satisfy the
conditions. In this case, ORDER BY
and
LIMIT
cannot be used.
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”.
Currently, you cannot delete from a table and select from the same table in a subquery.
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.
As stated, a DELETE
statement with
no WHERE
clause deletes all rows. A faster way
to do this, when you do not need to know the number of deleted
rows, is to use TRUNCATE TABLE
.
However, within a transaction or if you have a lock on the table,
TRUNCATE TABLE
cannot be used
whereas DELETE
can. See
Section 13.1.33, “TRUNCATE TABLE Syntax”, and
Section 13.3.5, “LOCK TABLES and UNLOCK TABLES Syntax”.
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 14.8.5, “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
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.
The speed of delete operations may also be affected by factors discussed in Section 8.2.2.3, “Speed of DELETE Statements”.
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.
The MySQL-specific LIMIT
option to
row_count
DELETE
tells the server the maximum
number of rows to be deleted before control is returned to the
client. This can be used to ensure that a given
DELETE
statement does not take too
much time. You can simply repeat the
DELETE
statement until the number
of affected rows is less than the LIMIT
value.
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
may also be useful in some cases 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 13.1.32, “RENAME TABLE Syntax”.
You can specify multiple tables in a
DELETE
statement to delete rows
from one or more tables depending on the particular condition in
the WHERE
clause. However, you cannot use
ORDER BY
or LIMIT
in a
multiple-table DELETE
. The
table_references
clause lists the
tables involved in the join. Its syntax is 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.
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;
Declaration of aliases other than in the
table_references
part of the statement
should be avoided because that can lead to ambiguous statements
that have unexpected results such as deleting rows from the wrong
table. This is such a statement:
DELETE t1 AS a2 FROM t1 AS a1 INNER JOIN t2 AS a2;
Before MySQL 5.5.3, alias declarations outside the
table_references
part of the statement
are disallowed for the USING
variant of
multiple-table DELETE
syntax. As of
MySQL 5.5.3, alias declarations outside
table_references
are disallowed for all
multiple-table DELETE
statements.
Before MySQL 5.5.3, for alias references in the list of tables
from which to delete rows in a multiple-table delete, the default
database is used unless one is specified explicitly. For example,
if the default database is db1
, the following
statement does not work because the unqualified alias reference
a2
is interpreted as having a database of
db1
:
DELETE a1, a2 FROM db1.t1 AS a1 INNER JOIN db2.t2 AS a2 WHERE a1.id=a2.id;
To correctly match an alias that refers to a table outside the default database, you must explicitly qualify the reference with the name of the proper database:
DELETE a1, db2.a2 FROM db1.t1 AS a1 INNER JOIN db2.t2 AS a2 WHERE a1.id=a2.id;
As of MySQL 5.5.3, alias resolution does not require qualification and alias references should not be qualified with the database name. Qualified names are interpreted as referring to tables, not aliases.
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()
.
Example: This SELECT
statement
pauses, but also produces a result set:
mysql> SELECT SLEEP(5);
+----------+
| SLEEP(5) |
+----------+
| 0 |
+----------+
1 row in set (5.02 sec)
DO
, on the other hand, pauses
without producing a result set.:
mysql> DO SLEEP(5);
Query OK, 0 rows affected (4.99 sec)
This could be useful, for example in a stored function or trigger, which prohibit statements that produce result sets.
DO
only executes expressions. It
cannot be used in all cases where SELECT
can be
used. For example, DO id FROM t1
is invalid
because it references a table.
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
InnoDB
and MyISAM
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.
HANDLER
makes it easier to port to MySQL
applications that use a low-level ISAM
-like
interface.
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.
HANDLER
is not supported with partitioned
tables.
INSERT [LOW_PRIORITY | DELAYED | HIGH_PRIORITY] [IGNORE] [INTO]tbl_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
SETcol_name
={expr
| DEFAULT}, ... [ ON DUPLICATE KEY UPDATEcol_name
=expr
[,col_name
=expr
] ... ]
Or:
INSERT [LOW_PRIORITY | HIGH_PRIORITY] [IGNORE] [INTO]tbl_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”.
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 11.6, “Data Type Default Values”. See also Section 1.7.3.3, “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 23.8.7.1, “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 23.8.7.35, “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 23.8.7.37, “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.
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.)
LOW_PRIORITY
should normally not be used
with MyISAM
tables because doing so
disables concurrent inserts. See
Section 8.11.3, “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 8.11.3, “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 ignored.
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 is discarded and no error
occurs. Ignored errors may generate warnings instead, although
duplicate-key errors do not.
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 19.2.2, “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, 2 if an existing row is
updated, and 0 if an existing row is set to its current
values. If you specify the
CLIENT_FOUND_ROWS
flag to
mysql_real_connect()
when
connecting to mysqld, the affected-rows
value is 1 (not 0) if an existing row is set to its current
values. 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).
An INSERT
statement that acts on a partitioned
table using a storage engine such as
MyISAM
that employs table-level locks
locks all partitions of the table. This does not occur with tables
using storage engines such as InnoDB
that employ row-level locking. This issue is resolved in MySQL
5.6. See Section 19.5.4, “Partitioning and Table-Level Locking”, for
more information.
INSERT [LOW_PRIORITY | HIGH_PRIORITY] [IGNORE] [INTO]tbl_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 B.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.
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 17.4.1.15, “Replication and LIMIT”.
Due to this issue, beginning with MySQL 5.5.18,
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 17.1.2.1, “Advantages and Disadvantages of Statement-Based and Row-Based Replication”.
An INSERT ... SELECT
statement that acts on
partitioned tables using a storage engine such as
MyISAM
that employs table-level
locks locks all partitions of the source and target tables. This
does not occur with tables using storage engines such as
InnoDB
that employ row-level
locking. This issue is resolved in MySQL 5.6. See
Section 19.5.4, “Partitioning and Table-Level Locking”, for more
information.
INSERT DELAYED ...
The DELAYED
option for the
INSERT
statement is a MySQL
extension to standard SQL that is very useful if you have
clients that cannot or need not wait for the
INSERT
to complete. This is a
common situation when you use MySQL for logging and you also
periodically run SELECT
and
UPDATE
statements that take a
long time to complete.
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.
Another major benefit of using INSERT
DELAYED
is that inserts from many clients are bundled
together and written in one block. This is much faster than
performing many separate inserts.
Note that 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.
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 5.5.7, 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 5.5.7,
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, 2 if an existing row is updated, and 0 if an existing row
is set to its current values. If you specify the
CLIENT_FOUND_ROWS
flag to
mysql_real_connect()
when
connecting to mysqld, the affected-rows value
is 1 (not 0) if an existing row is set to its current values.
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 5.5.18 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 5.5.24, 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 17.1.2.1, “Advantages and Disadvantages of Statement-Based and Row-Based
Replication”.
An INSERT ... ON DUPLICATE KEY UPDATE
on a
partitioned table using a storage engine such as
MyISAM
that employs table-level
locks locks all partitions of the table. This does not occur
with tables using storage engines such as
InnoDB
that employ row-level
locking. This issue is resolved in MySQL 5.6. See
Section 19.5.4, “Partitioning and Table-Level Locking”, for more
information.
LOAD DATA [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name
' [REPLACE | IGNORE] INTO TABLEtbl_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.
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.
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”.
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 file name must be given as a literal string. On Windows,
specify backslashes in path names as forward slashes or doubled
backslashes. The
character_set_filesystem
system
variable controls the interpretation of the file name.
The server uses the character set indicated by the
character_set_database
system
variable 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 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
, or
utf32
character set.
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. This option
affects the performance of LOAD
DATA
a bit, even if no other thread is using the table
at the same time.
With row-based replication, CONCURRENT
is
replicated regardless of MySQL version. With statement-based
replication CONCURRENT
is not replicated prior
to MySQL 5.5.1 (see Bug #34628). For more information, see
Section 17.4.1.16, “Replication and LOAD DATA INFILE”.
The LOCAL
keyword affects expected location of
the file and error handling, as described later.
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”.
The LOCAL
keyword affects where the file is
expected to be found:
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.
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;
For security reasons, when reading text files located on the
server, the files must either reside in the database directory or
be readable by the user account used to run the server. 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.
LOCAL
also affects error handling:
With LOAD DATA
INFILE
, data-interpretation and duplicate-key errors
terminate the operation.
With LOAD DATA
LOCAL INFILE
, data-interpretation and duplicate-key
errors become warnings and the operation continues because the
server has no way to stop transmission of the file in the
middle of the operation. For duplicate-key errors, this is the
same as if IGNORE
is specified.
IGNORE
is explained further later in this
section.
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
, rows that duplicate
an existing row on a unique key value are discarded.
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.
To ignore foreign key constraints during the load operation, 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
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.
Fixed-size format does not work if you are using a multibyte 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. 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 11.6, “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 11.6, “Data Type Default Values”.
An empty field value is interpreted different from a missing field:
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.
Treatment of empty or incorrect field values differs from that
just described if the SQL mode is set to a restrictive value. For
example, if sql_mode
is set to
TRADITIONAL
, conversion of an
empty value or a value such as 'x'
for a
numeric column results in an error, not conversion to 0. (With
LOCAL
or IGNORE
, warnings
occur rather than errors, even with a restrictive
sql_mode
value, and the row is
inserted using the same closest-value behavior used for
nonrestrictive SQL modes. This occurs because the server has no
way to stop transmission of the file in the middle of the
operation.)
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)
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
Here 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.
When the LOAD DATA
INFILE
statement finishes, it returns an information
string in the following format:
Records: 1 Deleted: 0 Skipped: 0 Warnings: 0
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.
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”.
If you are using the C API, you can get information about the
statement by calling the
mysql_info()
function. See
Section 23.8.7.35, “mysql_info()”.
For partitioned tables using storage engines that employ table
locks, such as MyISAM
, any locks
caused by LOAD DATA
perform locks on all
partitions of the table. This does not apply to tables using
storage engines which employ row-level locking, such as
InnoDB
. For more information, see
Section 19.5.4, “Partitioning and Table-Level Locking”.
LOAD XML [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name
' [REPLACE | IGNORE] INTO TABLE [db_name
.]tbl_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 three 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
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
, any locks
caused by LOAD XML
perform locks on all
partitions of the table. This does not apply to tables using
storage engines which employ row-level locking, such as
InnoDB
. For more information, see
Section 19.5.4, “Partitioning and Table-Level Locking”.
REPLACE [LOW_PRIORITY | DELAYED] [INTO]tbl_name
[(col_name
,...)] {VALUES | VALUE} ({expr
| DEFAULT},...),(...),...
Or:
REPLACE [LOW_PRIORITY | DELAYED] [INTO]tbl_name
SETcol_name
={expr
| DEFAULT}, ...
Or:
REPLACE [LOW_PRIORITY | DELAYED] [INTO]tbl_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”.
REPLACE
makes sense only if a
table has a PRIMARY KEY
or
UNIQUE
index. Otherwise, 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.
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
5.5.18 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 17.1.2.1, “Advantages and Disadvantages of Statement-Based and Row-Based
Replication”.
When modifying an existing table that is not partitioned to
accommodate partitioning, or, when modifying the partitioning of
an already partitioned table, you may consider altering the
table's primary key (see
Section 19.5.1, “Partitioning Keys, Primary Keys, and Unique Keys”).
You should be aware that, if you do this, the results of
REPLACE
statements may be affected, just as
they would be if you modified the primary key of a nonpartitioned
table. Consider the table created by the following
CREATE TABLE
statement:
CREATE TABLE test ( id INT UNSIGNED NOT NULL AUTO_INCREMENT, data VARCHAR(64) DEFAULT NULL, ts TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (id) );
When we create this table and run the statements shown in the mysql client, the result is as follows:
mysql>REPLACE INTO test VALUES (1, 'Old', '2014-08-20 18:47:00');
Query OK, 1 row affected (0.04 sec) mysql>REPLACE INTO test VALUES (1, 'New', '2014-08-20 18:47:42');
Query OK, 2 rows affected (0.04 sec) mysql>SELECT * FROM test;
+----+------+---------------------+ | id | data | ts | +----+------+---------------------+ | 1 | New | 2014-08-20 18:47:42 | +----+------+---------------------+ 1 row in set (0.00 sec)
Now we create a second table almost identical to the first, except that the primary key now covers 2 columns, as shown here (emphasized text):
CREATE TABLE test2 (
id INT UNSIGNED NOT NULL AUTO_INCREMENT,
data VARCHAR(64) DEFAULT NULL,
ts TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (id, ts)
);
When we run on test2
the same two
REPLACE
statements as we did on the original
test
table, we obtain a different result:
mysql>REPLACE INTO test2 VALUES (1, 'Old', '2014-08-20 18:47:00');
Query OK, 1 row affected (0.05 sec) mysql>REPLACE INTO test2 VALUES (1, 'New', '2014-08-20 18:47:42');
Query OK, 1 row affected (0.06 sec) mysql>SELECT * FROM test2;
+----+------+---------------------+ | id | data | ts | +----+------+---------------------+ | 1 | Old | 2014-08-20 18:47:00 | | 1 | New | 2014-08-20 18:47:42 | +----+------+---------------------+ 2 rows in set (0.00 sec)
This is due to the fact that, when run on
test2
, both the id
and
ts
column values must match those of an
existing row for the row to be replaced; otherwise, a row is
inserted.
A REPLACE
statement that acts on a partitioned
table using a storage engine such as
MyISAM
that employs table-level locks
locks all partitions of the table. This does not occur with tables
using storage engines such as InnoDB
that employ row-level locking. This issue is resolved in MySQL
5.6. See Section 19.5.4, “Partitioning and Table-Level Locking”, for
more information.
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
[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 13.2.9.3, “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”.
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 B.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, “JOIN Syntax”. For
each table specified, you can optionally specify an alias.
table_references
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 8.9.3, “Index Hints”.
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;
Relying on implicit GROUP BY
sorting in
MySQL 5.5 is deprecated. To achieve a specific
sort order of grouped results, it is preferable to use an
explicit ORDER BY
clause. GROUP
BY
sorting is a MySQL extension that may change in a
future release; for example, to make it possible for the
optimizer to order groupings in whatever manner it deems most
efficient and to avoid the sorting overhead.
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 12.17, “Functions and Modifiers for Use with GROUP BY Clauses”.
GROUP BY
permits a WITH
ROLLUP
modifier. See
Section 12.17.2, “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 as of MySQL 5.5.6.
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 14.5.2.3, “Locking Reads (SELECT ... FOR UPDATE and SELECT ... LOCK IN SHARE MODE)”.
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 8.10.3, “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
.
With SQL_NO_CACHE
, the server does not use
the query cache. It neither checks the query cache to see
whether the result is already cached, nor does it cache the
query result. (Due to a limitation in the parser, a space
character must precede and follow the
SQL_NO_CACHE
keyword; a nonspace such as a
newline causes the server to check the query cache to see
whether the result is already cached.)
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.
As of MySQL 5.5.3, 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
.
Before MySQL 5.5.3, for a query that uses
UNION
or subqueries, the
following rules apply:
A SELECT
from a partitioned table using a
storage engine such as MyISAM
that
employs table-level locks locks all partitions of the table. This
does not occur with tables using storage engines such as
InnoDB
that employ row-level locking.
This issue is resolved in MySQL 5.6. See
Section 19.5.4, “Partitioning and Table-Level Locking”, for more
information.
The SELECT ...
INTO
form of SELECT
enables a query result to be stored in variables or written to a
file:
SELECT ... INTO
selects column
values and stores them into variables.
var_list
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.
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.
An INTO
clause should not be used in a nested
SELECT
because such a
SELECT
must return its result to
the outer context.
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. (Within a prepared SELECT ... INTO
OUTFILE
statement, only user-defined variables are
permitted;see Section 13.6.4.2, “Local Variable Scope and Resolution”.)
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”.
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.
In the context of
SELECT ...
INTO
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 20.4.5, “Event Scheduler Status”.
MySQL supports the following JOIN
syntaxes
for the table_references
part of
SELECT
statements and
multiple-table DELETE
and
UPDATE
statements:
table_references:
escaped_table_reference
[,escaped_table_reference
] ...escaped_table_reference
:table_reference
| { OJtable_reference
}table_reference
:table_factor
|join_table
table_factor
:tbl_name
[[AS]alias
] [index_hint_list
] |table_subquery
[AS]alias
| (table_references
)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.
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 8.2.1.9, “Nested Join Optimization”).
Index hints can be specified to affect how the MySQL optimizer makes use of indexes. For more information, see Section 8.9.3, “Index Hints”.
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 8.2.1.7, “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 ... }
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.
The parser does not permit nested { OJ ...
}
constructs (which are not legal ODBC syntax,
anyway). Queries that use such constructs should be
rewritten. For an example, see
JOIN 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.
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.
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 8.2.1.14, “Optimizing Subqueries with EXISTS Strategy”. For a discussion of restrictions on subquery use, including performance issues for certain forms of subquery syntax, see Section D.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);
Scalar or column subqueries 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.
For information about how each operator works for row comparisons, see Section 12.3.2, “Comparison Functions and Operators”.
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.
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.
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. Each matching row is updated once, even if it
matches the conditions multiple times. For multiple-table syntax,
ORDER BY
and LIMIT
cannot be
used.
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 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 on a
unique key value are not updated. Rows updated to values that
would cause data conversion errors are updated to the closest
valid values instead.
In MySQL 5.5.18 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 17.1.2.3, “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 11.6, “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 14.8.6, “InnoDB and FOREIGN KEY Constraints”.
Currently, you cannot update a table and select from the same table in a subquery.
Index hints (see Section 8.9.3, “Index Hints”) are accepted for
UPDATE
statements, but are ignored
prior to MySQL 5.5.6.
An UPDATE
on a partitioned table using a
storage engine such as MyISAM
that
employs table-level locks locks all partitions of the table. This
does not occur with tables using storage engines such as
InnoDB
that employ row-level locking.
This issue is resolved in MySQL 5.6. See
Section 19.5.4, “Partitioning and Table-Level Locking”, for more
information.
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 [WITH CONSISTENT SNAPSHOT] 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.
You can also begin a transaction like this:
START TRANSACTION WITH CONSISTENT SNAPSHOT;
The WITH CONSISTENT SNAPSHOT
option 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 14.5.2.2, “Consistent Nonlocking Reads”. The WITH
CONSISTENT SNAPSHOT
option does not change the current
transaction isolation
level, so it provides a consistent snapshot only if the
current isolation level is one that permits a consistent read. The
only isolation level that permits a consistent read is
REPEATABLE READ
. For all other
isolation levels, the WITH CONSISTENT SNAPSHOT
clause is ignored. As of MySQL 5.5.34, a warning is generated when
the WITH CONSISTENT SNAPSHOT
is ignored.
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 23, 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 and is the recommended way to start an ad-hoc
transaction.
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 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 5.5, 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 SERVER
,
ALTER TABLE
,
ALTER VIEW
,
CREATE DATABASE
,
CREATE EVENT
,
CREATE INDEX
,
CREATE PROCEDURE
,
CREATE SERVER
,
CREATE TABLE
,
CREATE TRIGGER
,
CREATE VIEW
,
DROP DATABASE
,
DROP EVENT
,
DROP INDEX
,
DROP PROCEDURE
,
DROP SERVER
,
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.)
CREATE TABLE
and
DROP TABLE
statements do not
commit a transaction if the TEMPORARY
keyword is used. (This does not apply to other operations on
temporary tables such as ALTER
TABLE
and CREATE
INDEX
, which do cause a commit.) However, although
no implicit commit occurs, neither can the statement be rolled
back, which means that the use of such statements causes
transactional atomicity to be violated. 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
.
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 only protects against inappropriate reads or writes
by other sessions. A session holding a WRITE
lock can perform table-level operations such as
DROP TABLE
or
TRUNCATE TABLE
. For sessions
holding a READ
lock, DROP
TABLE
and TRUNCATE TABLE
operations are not permitted. TRUNCATE
TABLE
operations are not transaction-safe, so an error
occurs if the session attempts one during an active transaction or
while holding a READ
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 8.11.3, “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 as
of MySQL 5.5.3. Before 5.5.3, it affects lock scheduling if
the WRITE
lock request must wait, as
described later.
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. Before MySQL 5.5.3, the LOW_PRIORITY
modifier can be given to affect locking behavior as follows (as of
5.5.3, it has no effect): A request for a LOW_PRIORITY
WRITE
lock permits subsequent READ
lock requests by other sessions to be satisfied first if they
occur while the LOW_PRIORITY WRITE
request is
waiting. You should use LOW_PRIORITY WRITE
locks only if you are sure that eventually there will be a time
when no sessions have a READ
lock. For
InnoDB
tables in transactional mode (autocommit
= 0), a waiting LOW_PRIORITY WRITE
lock acts
like a regular WRITE
lock and causes subsequent
READ
lock requests to wait.
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. There
are, however, other things you need to be aware of about this
policy: If you are using a LOW_PRIORITY WRITE
lock for a table, it means only that MySQL waits for this
particular lock until there are no other sessions that want a
READ
lock. When the session has gotten the
WRITE
lock and is waiting to get the lock for
the next table in the lock table list, all other sessions wait for
the WRITE
lock to be released. If this becomes
a serious problem with your application, you should consider
converting some of your tables to transaction-safe tables.
LOCK TABLES
or UNLOCK
TABLES
, when applied to a partitioned table, always
locks or unlocks the entire table. See
Section 19.5.4, “Partitioning and Table-Level 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 23.8.16, “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 B.5.7.1, “Problems with ALTER TABLE”.
tbl_name
' was not locked with LOCK
TABLES
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”.
You should 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:
As of MySQL 5.5.3, CREATE
TABLE
,
CREATE TABLE
... LIKE
, CREATE
VIEW
, DROP VIEW
,
and DDL statements on stored procedures and functions.
As of MySQL 5.5.8, DDL statements on 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.
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 12.16, “Miscellaneous Functions”.
See Section 8.11.1, “Internal Locking Methods”, for more information on locking policy.
SET [GLOBAL | SESSION] TRANSACTION ISOLATION LEVEL { REPEATABLE READ | READ COMMITTED | READ UNCOMMITTED | SERIALIZABLE }
This statement sets the transaction isolation level, used for
operations on InnoDB
tables.
You can set the isolation level globally, for the current session, or for the next transaction:
With the GLOBAL
keyword, the statement sets
the default transaction level globally for all subsequent
sessions. Existing sessions are unaffected.
With the SESSION
keyword, the statement
sets the default transaction level for all subsequent
transactions performed within the current session.
Without any SESSION
or
GLOBAL
keyword, the statement sets the
isolation level for the next (not started) transaction
performed within the current session.
A change to the global default isolation level requires the
SUPER
privilege. Any session is
free to change its session isolation level (even in the middle of
a transaction), or the isolation level for its next transaction.
SET TRANSACTION
ISOLATION LEVEL
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 isolation level 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';
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 14.5.2, “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 14.5.2.4, “InnoDB Record, Gap, and Next-Key Locks” and
Section 14.5.2.6, “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 14.5.2.2, “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 (gap plus index-record) 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 14.5.2.2, “Consistent Nonlocking Reads”.
For locking reads (SELECT
with
FOR UPDATE
or LOCK IN SHARE
MODE
), UPDATE
statements, and DELETE
statements, InnoDB
locks only index
records, not the gaps before them, and thus permits the free
insertion of new records next to locked records.
In MySQL 5.5, when READ
COMMITTED
isolation level is used or the
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
.)
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 D.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 supports XA directly (by means of a class interface that handles the XA 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.
For 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.
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. 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 17.1.1, “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. Set this variable to 0 for a
session to temporarily disable binary logging while making
changes to the master which you do not want to replicate to the
slave.
As of MySQL 5.5, sql_log_bin
can be set as a global or session variable. Setting
sql_log_bin
globally is only
detected when a new session is started. Any sessions previously
running are not impacted when setting
sql_log_bin
globally.
Incorrect use of sql_log_bin
with a global scope means any changes made in an already
running session are still being recorded
to the binary log and therefore replicated. Exercise extreme
caution using sql_log_bin
with a global scope as the above situation could cause
unexpected results including replication failure.
Beginning with MySQL 5.5.5, it is no longer 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
and
SHOW RELAYLOG EVENTS
are also used
with replication slaves. For information about these statements,
see Section 13.7.5.35, “SHOW SLAVE STATUS Syntax”, and
Section 13.7.5.33, “SHOW RELAYLOG EVENTS 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_HEARTBEAT_PERIOD =interval
| MASTER_LOG_FILE = 'master_log_name
' | MASTER_LOG_POS =master_log_pos
| 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_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)
MASTER_USER
and
MASTER_PASSWORD
are the user name and
password of the account to use for connecting to the master.
In MySQL 5.5.20 and later, MASTER_USER
cannot be made empty; setting MASTER_USER =
''
or leaving it unset when setting a value for
MASTER_PASSWORD
causes an error (Bug
#13427949).
The password used for a MySQL Replication slave account in a
CHANGE MASTER TO
statement is limited to
32 characters in length; if the password is longer, the
statement succeeds, but any excess characters are silently
truncated. This is an issue specific to MySQL Replication,
which is fixed in MySQL 5.7. (Bug #11752299, 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 MASTER_SSL_
options provide information about using SSL for the connection.
They correspond to the
xxx
--ssl-
options
described in Section 6.3.9.4, “SSL Command Options”, and
Section 17.3.7, “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_CONNECT_RETRY
specifies how many
seconds to wait between connect retries. The default is 60. The
number of reconnection attempts is limited
by the --master-retry-count
server option; for more information, see
Section 17.1.3, “Replication and Binary Logging Options and Variables”.
The MASTER_BIND
option is available in MySQL
Cluster NDB 7.2 and later, but is not supported in mainline
MySQL 5.5.
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.
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
.
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
. 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.
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 5.5, RELAY_LOG_FILE
required
an absolute path. In MySQL 5.5, the path can be
relative, in which case the path is assumed to be relative to
the slave's data directory. (Bug #12190)
IGNORE_SERVER_IDS
was added in MySQL 5.5.
This option 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.
When a CHANGE MASTER TO
statement is issued
without any IGNORE_SERVER_IDS
option, any
existing list is preserved. To clear the list of ignored
servers, it is necessary to use the option with an empty list:
CHANGE MASTER TO IGNORE_SERVER_IDS = ();
RESET SLAVE
ALL
has no effect on the server ID list. This issue is
fixed in MySQL 5.7. (Bug #18816897)
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.
Also beginning with MySQL 5.5, the
master.info
file and the output of
SHOW SLAVE STATUS
are extended to
provide the list of servers that are currently ignored. For more
information, see Section 17.2.2.2, “Slave Status Logs”, and
Section 13.7.5.35, “SHOW SLAVE STATUS Syntax”.
Beginning with MySQL 5.5.5, 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.
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 with the master, 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_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 12.16, “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. 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 5.5 (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 5.5.16 and later, you can instead use
RESET SLAVE ALL
to reset these connection
parameters (Bug #11809016).
RESET SLAVE ALL
does not clear the
IGNORE_SERVER_IDS
list set by
CHANGE MASTER TO
. This issue is
fixed in MySQL 5.7. (Bug #18816897)
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.
START SLAVE [thread_types
] 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
thread_types
: [thread_type
[,thread_type
] ... ]thread_type
: IO_THREAD | SQL_THREAD
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
.
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 17.1.4.1, “Checking Replication Status”.
You can add IO_THREAD
and
SQL_THREAD
options to the statement to name
which of the threads to start.
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.
For an UNTIL
clause, you must specify both a
log file name and position. Do not mix master and relay log
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.
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 old versions of MySQL (before 4.0.5), this statement was
called SLAVE START
. This usage is still
accepted in MySQL 5.5 for backward compatibility,
but is deprecated and is removed in MySQL 5.6.
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
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). In MySQL
5.5.9 and later, you can also use STOP SLAVE
SQL_THREAD
for this purpose.
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 5.5, STOP SLAVE
waits
until the current replication event group affecting one or
more nontransactional 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
. This usage is still
accepted in MySQL 5.5 for backward compatibility,
but is deprecated and is removed in MySQL 5.6.
MySQL 5.5 provides support for server-side prepared
statements. This support takes advantage of the efficient
client/server binary protocol implemented in MySQL 4.1, provided
that you use an appropriate client programming interface. Candidate
interfaces include the MySQL C API client library (for C programs),
MySQL Connector/J (for Java programs), and MySQL Connector/Net. For
example, the C API provides a set of function calls that make up its
prepared statement API. See
Section 23.8.8, “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 enables you to 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. The only requirement is that you be able to connect to a server that is recent enough to support SQL syntax for prepared statements.
SQL syntax for prepared statements is intended to be used for situations such as these:
You want to test how prepared statements work in your application before coding it.
An application has problems executing prepared statements and you want to determine interactively what the problem is.
You want to create a test case that describes a problem you are having with prepared statements, so that you can file a bug report.
You need to use prepared statements but do not have access to a programming API that supports them.
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 ANALYZE TABLE CACHE INDEX CALL CHANGE MASTER CHECKSUM {TABLE | TABLES} COMMIT {CREATE | RENAME | DROP} DATABASE {CREATE | DROP} INDEX {CREATE | RENAME | DROP} TABLE {CREATE | RENAME | DROP} USER {CREATE | DROP} VIEW DELETE DO 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 REPAIR TABLE REPLACE RESET {MASTER | SLAVE | QUERY CACHE} REVOKE SELECT SET SHOW {AUTHORS | CONTRIBUTORS | WARNINGS | ERRORS} SHOW BINLOG EVENTS SHOW CREATE {PROCEDURE | FUNCTION | EVENT | TABLE | VIEW} SHOW {MASTER | BINARY} LOGS SHOW {MASTER | SLAVE} STATUS SLAVE {START | STOP} TRUNCATE TABLE UNINSTALL PLUGIN UPDATE
Other statements are not supported in MySQL 5.5.
Generally, statements not permitted in SQL prepared statements are also not permitted in stored programs. Exceptions are noted in Section D.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 13.5.4, “Automatic Prepared Statement Repreparation”.
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 5.5. 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 8.10.3.1, “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
SQL statement and assigns it a name,
stmt_name
, by which to refer to the
statement later. The prepared statement is executed with
EXECUTE
and released with
DEALLOCATE PREPARE
. For examples,
see Section 13.5, “SQL Syntax for Prepared Statements”.
Statement names are not case sensitive.
preparable_stmt
is either a string
literal or a user variable that contains the text of the SQL
statement. The text must represent a single 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.
The scope of a prepared statement is the session within which it is created, which as several implications:
A prepared statement created in one session is not available to other sessions.
When a session ends, whether normally or abnormally, its prepared statements no longer exist. If auto-reconnect is enabled, the client is not notified that the connection was lost. For this reason, clients may wish to disable auto-reconnect. See Section 23.8.16, “Controlling Automatic Reconnection Behavior”.
A prepared statement created within a stored program continues to exist after the program finishes executing and can be executed outside the program later.
A statement prepared in stored program context cannot refer to stored procedure or function parameters or local variables because they go out of scope when the program ends and would be unavailable were the statement to be executed later outside the program. As a workaround, refer instead to user-defined variables, which also have session scope; see Section 9.4, “User-Defined Variables”.
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.
For examples, see Section 13.5, “SQL Syntax for Prepared Statements”.
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. This applies to prepared
statements processed at the SQL level (using the
PREPARE
statement) and those
processed using the binary client/server protocol (using the
mysql_stmt_prepare()
C API
function).
The server attempts repreparation up to three times. An error occurs if all attempts fail.
Metadata changes occur for DDL statements such as those that
create, drop, alter, rename, or truncate tables, or that analyze,
optimize, or repair tables. Repreparation also occurs after
referenced tables or views are flushed from the table definition
cache, either implicitly to make room for new entries in the
cache, or explicitly due to
FLUSH TABLES
.
Table content changes (for example, with
INSERT
or
UPDATE
) do not cause repreparation,
nor do SELECT
statements.
Repreparation is automatic, but to the extent that it occurs, diminishes prepared statement performance.
Repreparation uses the default database and SQL mode that were in effect for the original preparation.
The
Com_stmt_reprepare
status variable tracks the number of repreparations.
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 20, 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 20.1, “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, “SELECT ... INTO Syntax”, and Section 13.6.6, “Cursors”.
var_list
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”.
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 13.1.15, “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.
Because local variables are in scope only during stored program
execution, references to them are not permitted in prepared
statements created within a stored program. Prepared statement
scope is the current session, not the stored program, so the
statement could be executed after the program ends, at which
point the variables would no longer be in scope. For example,
SELECT ... INTO
cannot be used as
a prepared statement. This restriction also applies to stored
procedure and function parameters. See
Section 13.5.1, “PREPARE Syntax”.
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”.
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”.
Another statement related to conditions is GET
DIAGNOSTICS
. The GET DIAGNOSTICS
statement is not supported until MySQL 5.6.
Before MySQL 5.6.3, if a statement that generates a warning or error causes a condition handler to be invoked, the handler may not clear the diagnostic area. This might lead to the appearance that the handler was not invoked. The following discussion demonstrates the issue and provides a workaround.
Suppose that a table t1
is empty. The following
procedure selects from it, raising a No Data condition:
CREATE PROCEDURE p1() BEGIN DECLARE a INT; DECLARE CONTINUE HANDLER FOR NOT FOUND BEGIN SET @handler_invoked = 1; END; SELECT c1 INTO a FROM t1; END;
As can be seen from the following sequence of statements, the
condition is not cleared by handler invocation (otherwise, the
SHOW WARNINGS
output would be
empty). But as can be seen by the value of
@handler_invoked
, the handler was indeed
invoked (otherwise its value would be 0).
mysql>SET @handler_invoked = 0;
Query OK, 0 rows affected (0.00 sec) mysql>CALL p1();
Query OK, 0 rows affected, 1 warning (0.00 sec) mysql>SHOW WARNINGS;
+---------+------+-----------------------------------------------------+ | Level | Code | Message | +---------+------+-----------------------------------------------------+ | Warning | 1329 | No data - zero rows fetched, selected, or processed | +---------+------+-----------------------------------------------------+ 1 row in set (0.00 sec) mysql>SELECT @handler_invoked;
+------------------+ | @handler_invoked | +------------------+ | 1 | +------------------+ 1 row in set (0.00 sec)
To work around this issue, use a condition handler containing a statement that clears warnings:
CREATE PROCEDURE p1() BEGIN DECLARE a INT; DECLARE CONTINUE HANDLER FOR NOT FOUND BEGIN SELECT 1 INTO @handler_invoked FROM (SELECT 1) AS t; END; SELECT c1 INTO a FROM t1; END;
This works for CONTINUE
and
EXIT
handlers.
This issue is resolved as of MySQL 5.6.3 and no workaround is needed.
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 B.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 B.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'
.
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, 1 warning (0.01 sec) mysql>SHOW WARNINGS//
+-------+------+---------------------------------------+ | Level | Code | Message | +-------+------+---------------------------------------+ | Error | 1062 | Duplicate entry '1' for key 'PRIMARY' | +-------+------+---------------------------------------+ 1 row in set (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;
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.
All forms of RESIGNAL
require
that the current context be a condition handler. Otherwise,
RESIGNAL
is illegal and a
RESIGNAL when handler not active
error
occurs.
For condition_value
and
signal_information_item
, the
definitions and rules are the same for
RESIGNAL
as for
SIGNAL
. For example, the
condition_value
can be an
SQLSTATE
value, and the value can indicate
errors, warnings, or “not found.” For additional
information, see Section 13.6.7.4, “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.
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();
Suppose that 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 a diagnostics area to the top of the 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 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 current
diagnostics area (it has been “handled”), so it
can be thrown away, causing the stacked diagnostics area to
become the current diagnostics area again. 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, which is what the caller sees:
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
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 adds to rather than replaces the existing condition
is the use of a condition value.)
The RESIGNAL
statement includes
a condition value (SQLSTATE '45000'
), so it
adds a new condition area, resulting in a diagnostics area
stack that looks like this:
DA 1. (condition 2) ERROR 1051 (42S02): Unknown table 'xx' (condition 1) ERROR 5 (45000) 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 | 1051 | Unknown table 'xx' | | Error | 5 | Unknown table 'xx' | +-------+------+----------------------------------+
All forms of RESIGNAL
require
that the current context be a condition handler. Otherwise,
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 1645 (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();
RESIGNAL
occurs within the
stored function f()
, which is invoked from
within the EXIT
handler. Thus, a handler is
active at the time RESIGNAL
executes, even though RESIGNAL
is not defined inside the handler.
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.
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 13.6.7.4.1, “Signal Condition Information Items”. Some
signal values cause statement termination; see
Section 13.6.7.4.2, “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 13.6.7.4.1, “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 handler 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'
.
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.
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 condition';
MYSQL_ERRNO = ER_SIGNAL_WARN
Class = '02'
(not found)
MESSAGE_TEXT = 'Unhandled user-defined not found condition';
MYSQL_ERRNO = ER_SIGNAL_NOT_FOUND
Class > '02'
(exception)
MESSAGE_TEXT = 'Unhandled user-defined exception condition';
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.
Other condition information items can be set, but currently
have no effect, in the sense that they are not accessible from
error returns. For example, you can set
CLASS_ORIGIN
in a
SIGNAL
statement, but cannot
see it after SIGNAL
executes.
In MySQL 5.6, condition information can be inspected with the
GET DIAGNOSTICS
statement.
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
.
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. To ensure that you can take advantage of any new capabilities, update your grant tables to have the current structure whenever you update to a new version of MySQL. See Section 4.4.7, “mysql_upgrade — Check and Upgrade MySQL Tables”.
When the read_only
system
variable is enabled, account-management statements require the
SUPER
privilege, in addition to any
other required privileges. This is because they modify tables in
the mysql
database.
CREATE USERuser_specification
[,user_specification
] ...user_specification
:user
[identified_option
]auth_option
: { IDENTIFIED BY 'auth_string
' | IDENTIFIED BY PASSWORD 'hash_string
' | IDENTIFIED WITHauth_plugin
| IDENTIFIED WITHauth_plugin
AS 'hash_string
' }
The CREATE USER
statement creates
new MySQL accounts. An error occurs if you try to create an
account that already exists. To use this statement, you must
have the global CREATE USER
privilege or the INSERT
privilege
for the mysql
database.
When the read_only
system
variable is enabled, CREATE USER
requires the SUPER
privilege, in
addition to any other required privileges.
For each account, CREATE USER
creates a new row in the mysql.user
table
with no privileges and (as of MySQL 5.5.7) assigns the account
an authentication plugin. Depending on the syntax used,
CREATE USER
may also assign the
account a password.
Each user_specification
clause
consists of an account name and information about how
authentication occurs for clients that use the account. This
part of CREATE USER
syntax is
shared with GRANT
, so the
description here applies to GRANT
as well.
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 server assigns an authentication plugin and password to each
account as follows, depending on whether the user specification
clause includes IDENTIFIED WITH
to specify a
plugin or IDENTIFIED BY
to specify a
password:
IDENTIFIED WITH
is available as of MySQL
5.5.7. Before 5.5.7, authentication plugins are not used, so
only the remarks about IDENTIFIED BY
apply.
With IDENTIFIED WITH
, the server assigns
the specified plugin and the account has no password. If the
optional AS
'
clause is
also given, the string is stored as is in the
hash_string
'authentication_string
column (it is
assumed to be already hashed in the format required by the
plugin).
With IDENTIFIED BY
, the server assigns no
plugin and assigns the specified password.
With neither IDENTIFIED WITH
nor
IDENTIFIED BY
, the server assigns no
plugin and the account has no password.
If the account has no password, the Password
column in the account's mysql.user
table row
remains empty, which is insecure. To set the password, use
SET PASSWORD
. See
Section 13.7.1.6, “SET PASSWORD Syntax”.
If the server assigns no plugin to the account, the
plugin
column in the account's
mysql.user
table row remains empty.
For client connections that use a given account, the server invokes the authentication plugin assigned to the account and the client must provide credentials as required by 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.
If an account's mysql.user
table row has a
nonempty plugin
column:
The server authenticates client connection attempts using the named plugin.
Changes to the account password using
SET PASSWORD
with
PASSWORD()
must be made with
the old_passwords
system
variable set to the value required by the authentication
plugin, so that PASSWORD()
uses the appropriate password hashing method. If the plugin
is mysql_old_password
, the password can
also be changed using SET
PASSWORD
with
OLD_PASSWORD()
, which uses
pre-4.1 password hashing regardless of the value of
old_passwords
.
If an account's mysql.user
table row has an
empty plugin
column:
The server authenticates client connection attempts using
the mysql_native_password
or
mysql_old_password
authentication plugin,
depending on the hash format of the password stored in the
Password
column.
Changes to the account password using
SET PASSWORD
can be made with
PASSWORD()
, with
old_passwords
set to 0 or 1
for 4.1 or pre-4.1 password hashing, respectively, or with
OLD_PASSWORD()
, which uses
pre-4.1 password hashing regardless of the value of
old_passwords
.
CREATE USER
examples:
To specify an authentication plugin for an account, use
IDENTIFIED WITH
. The plugin
name can be a quoted string literal or an unquoted name.
auth_plugin
'
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 and it is stored in the
auth_string
'authentication_string
column as given.
(This value is meaningful only for plugins that use that
column.) Consult the documentation for a given plugin for
information about the authentication string values it
accepts, if any.
CREATE USER 'jeffrey'@'localhost' IDENTIFIED WITH mysql_native_password;
The server assigns the given authentication plugin to the
account but no password. Clients must provide no password
when they connect. However, an account with no password is
insecure. To ensure that an account uses a specific
authentication plugin and has a password with the
corresponding hash format, specify the plugin explicitly
with IDENTIFIED WITH
, then use
SET PASSWORD
to set the
password:
CREATE USER 'jeffrey'@'localhost' IDENTIFIED WITH mysql_native_password; SET old_passwords = 0; SET PASSWORD FOR 'jeffrey'@'localhost' = PASSWORD('mypass');
Changes to the account password using
SET PASSWORD
with
PASSWORD()
must be made with
the old_passwords
system
variable set to the value required by the account's
authentication plugin, so that
PASSWORD()
uses the
appropriate password hashing method. Therefore, to use the
mysql_old_password
plugin instead, name
that plugin in the CREATE
USER
statement and set
old_passwords
to 1 before
using SET PASSWORD
.
To specify a password for an account at account-creation
time, use IDENTIFIED BY
with the literal
cleartext password value:
CREATE USER 'jeffrey'@'localhost' IDENTIFIED BY 'mypass';
The server assigns the given password to the account but no authentication plugin. Clients must provide the password when they connect.
To avoid specifying the cleartext 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 server assigns the given password to the account but no authentication plugin. Clients must provide the password when they connect.
To enable the user to connect with no password, include no
IDENTIFIED BY
clause:
CREATE USER 'jeffrey'@'localhost';
The server assigns no authentication plugin or password to
the account. Clients must provide no password when they
connect. However, an account with no password is insecure.
To avoid this, use SET
PASSWORD
to set the account password.
For additional information about setting passwords and authentication plugins, see Section 6.3.5, “Assigning Account Passwords”, and Section 6.3.6, “Pluggable Authentication”.
CREATE USER
may be recorded in
server logs or on the client side in a history file such as
~/.mysql_history
, which means that
cleartext passwords may be read by anyone having read access
to that information. For information about password logging in
the server logs, see Section 6.1.2.3, “Passwords and Logging”. For
similar information about client-side logging, see
Section 4.5.1.3, “mysql Logging”.
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. An error
occurs for accounts that do not exist. To use this statement,
you must have the global CREATE
USER
privilege or the
DELETE
privilege for the
mysql
database.
When the read_only
system
variable is enabled, DROP USER
requires the SUPER
privilege, in
addition to any other required privileges.
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 20.6, “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
] ...}] [WITH {GRANT OPTION |resource_option
} ...] GRANT PROXY ONuser_specification
TOuser_specification
[,user_specification
] ... [WITH GRANT OPTION]object_type
: { TABLE | FUNCTION | PROCEDURE }priv_level
: { * | *.* |db_name
.* |db_name.tbl_name
|tbl_name
|db_name
.routine_name
}user_specification
:user
[auth_option
]auth_option
: { IDENTIFIED BY 'auth_string
' | IDENTIFIED BY PASSWORD 'hash_string
' | IDENTIFIED WITHauth_plugin
| IDENTIFIED WITHauth_plugin
AS 'hash_string
' }ssl_option
: { SSL | X509 | CIPHER 'cipher
' | ISSUER 'issuer
' | SUBJECT 'subject
' }resource_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. To use
GRANT
, you must have the
GRANT OPTION
privilege, and you
must have the privileges that you are granting.
GRANT
also serves to specify
other account characteristics such as use of secure connections
and limits on access to server resources.
When the read_only
system
variable is enabled, GRANT
requires the SUPER
privilege, in
addition to any other required privileges.
The REVOKE
statement is related
to GRANT
and enables
administrators to remove account privileges. See
Section 13.7.1.5, “REVOKE Syntax”.
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;
Examples shown here include no IDENTIFIED
clause. It is assumed that you establish passwords with
CREATE USER
at account-creation
time to avoid creating insecure accounts.
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.
From the mysql program,
GRANT
responds with
Query OK, 0 rows affected
when executed
successfully. 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:
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 the structure of
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”.
GRANT
may be recorded in server
logs or on the client side in a history file such as
~/.mysql_history
, which means that
cleartext passwords may be read by anyone having read access
to that information. For information about password logging in
the server logs, see Section 6.1.2.3, “Passwords and Logging”. For
similar information about client-side logging, see
Section 4.5.1.3, “mysql Logging”.
The following table summarizes the permissible
priv_type
privilege types that can be
specified for the GRANT
and
REVOKE
statements, and the levels
at which each privilege can be granted. 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 and Grantable Levels |
---|---|
ALL [PRIVILEGES] | Grant all privileges at specified access level except
GRANT OPTION |
ALTER | Enable use of ALTER TABLE . Levels:
Global, database, table. |
ALTER ROUTINE | Enable stored routines to be altered or dropped. Levels: Global, database, procedure. |
CREATE | Enable database and table creation. Levels: Global, database, table. |
CREATE ROUTINE | Enable stored routine creation. Levels: Global, database. |
CREATE TABLESPACE | Enable tablespaces and log file groups to be created, altered, or dropped. Level: Global. |
CREATE TEMPORARY TABLES | Enable use of CREATE
TEMPORARY TABLE . Levels: Global, database. |
CREATE USER | Enable use of CREATE USER ,
DROP USER ,
RENAME USER , and
REVOKE ALL
PRIVILEGES . Level: Global. |
CREATE VIEW | Enable views to be created or altered. Levels: Global, database, table. |
DELETE | Enable use of DELETE . Level: Global,
database, table. |
DROP | Enable databases, tables, and views to be dropped. Levels: Global, database, table. |
EVENT | Enable use of events for the Event Scheduler. Levels: Global, database. |
EXECUTE | Enable the user to execute stored routines. Levels: Global, database, table. |
FILE | Enable the user to cause the server to read or write files. Level: Global. |
GRANT OPTION | Enable privileges to be granted to or removed from other accounts. Levels: Global, database, table, procedure, proxy. |
INDEX | Enable indexes to be created or dropped. Levels: Global, database, table. |
INSERT | Enable use of INSERT . Levels: Global,
database, table, column. |
LOCK TABLES | Enable use of LOCK TABLES on tables for
which you have the SELECT
privilege. Levels: Global, database. |
PROCESS | Enable the user to see all processes with SHOW
PROCESSLIST . Level: Global. |
PROXY | Enable user proxying. Level: From user to user. |
REFERENCES | Enable foreign key creation. Levels: Global, database, table, column. |
RELOAD | Enable use of FLUSH operations. Level:
Global. |
REPLICATION CLIENT | Enable the user to ask where master or slave servers are. Level: Global. |
REPLICATION SLAVE | Enable replication slaves to read binary log events from the master. Level: Global. |
SELECT | Enable use of SELECT . Levels: Global,
database, table, column. |
SHOW DATABASES | Enable SHOW DATABASES to show all
databases. Level: Global. |
SHOW VIEW | Enable use of SHOW CREATE VIEW . Levels:
Global, database, table. |
SHUTDOWN | Enable use of mysqladmin shutdown. Level: Global. |
SUPER | Enable use of other administrative operations such as
CHANGE MASTER TO ,
KILL ,
PURGE BINARY LOGS ,
SET
GLOBAL , and mysqladmin
debug command. Level: Global. |
TRIGGER | Enable trigger operations. Levels: Global, database, table. |
UPDATE | Enable use of UPDATE . Levels: Global,
database, table, column. |
USAGE | Synonym for “no privileges” |
The PROXY
privilege was added in
MySQL 5.5.7.
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. For additional details,
consult Section 6.2, “The MySQL Access Privilege System”, which discusses the
mysql
database and the access control system
extensively.
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
remove.
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
GRANT OPTION
or
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”.
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.
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.
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
, LOCK TABLES
,
and REFERENCES
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
,
REFERENCES
,
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
,
REFERENCES
,
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 6.3.8, “Proxy Users”.
MySQL stores proxy privileges in the
mysql.proxies_priv
table.
The user_specification
clause names a
user and optionally provides authentication information such as
a password.
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';
To indicate how the user should authenticate when connecting to
the server, the user_specification
value may include an IDENTIFIED
clause to
specify an authentication plugin, a password, or both. Syntax of
the user specification is the same as for the
CREATE USER
statement. For
details, see Section 13.7.1.1, “CREATE USER Syntax”.
When IDENTIFIED BY
is present and you have
the global grant privilege (GRANT
OPTION
), the password becomes the new password for the
account, even if the account exists and already has a password.
Without IDENTIFIED BY
, the account password
remains unchanged.
If an account named in a GRANT
statement does not exist, the action taken depends on the
NO_AUTO_CREATE_USER
SQL mode:
If NO_AUTO_CREATE_USER
is
not enabled, GRANT
creates
the account. This is very insecure
unless you specify a nonempty password using
IDENTIFIED BY
.
If NO_AUTO_CREATE_USER
is
enabled, GRANT
fails and does
not create the account, unless you specify a nonempty
password using IDENTIFIED BY
or name an
authentication plugin using IDENTIFIED
WITH
.
MySQL can check X509 certificate attributes in addition to the usual authentication that is based on the user name and credentials. For background information on the use of SSL with MySQL, see Section 6.3.9, “Using SSL for Secure Connections”.
The optional REQUIRE
clause specifies
SSL-related options for a MySQL account, using one or more
ssl_option
values.
GRANT
permits these
ssl_option
values:
NONE
Indicates that the account has no SSL or X509 requirements.
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.
NONE
is the default if no SSL-related
REQUIRE
options are specified.
SSL
Tells the server to permit only SSL-encrypted connections for the account.
GRANT ALL PRIVILEGES ON test.* TO 'root'@'localhost' 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.
X509
Requires that the client must have a valid certificate but 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' 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
.
ISSUER
'
issuer
'
Places the restriction on connection attempts that the
client must present a valid X509 certificate issued by CA
'
. 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' REQUIRE ISSUER '/C=SE/ST=Stockholm/L=Stockholm/ O=MySQL/CN=CA/emailAddress=ca@example.com';
If MySQL is linked against a version of OpenSSL older than
0.9.6h, use Email
rather than
emailAddress
in the
'
value.
issuer
'
SUBJECT
'
subject
'
Places the restriction on connection attempts that the
client must present a valid X509 certificate containing the
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' REQUIRE SUBJECT '/C=SE/ST=Stockholm/L=Stockholm/ O=MySQL demo client certificate/ CN=client/emailAddress=client@example.com';
MySQL does a simple string comparison of the
'
value to the value in the certificate, so lettercase and
component ordering must be given exactly as present in the
certificate.
subject
'
Regarding emailAddress
, see the note in
the description of REQUIRE ISSUER
.
CIPHER
'
cipher
'
Requests a specific cipher method for connections. This option 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.
GRANT ALL PRIVILEGES ON test.* TO 'root'@'localhost' 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' REQUIRE SUBJECT '/C=SE/ST=Stockholm/L=Stockholm/ O=MySQL demo client certificate/ CN=client/emailAddress=client@example.com' AND ISSUER '/C=SE/ST=Stockholm/L=Stockholm/ O=MySQL/CN=CA/emailAddress=ca@example.com' 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.
The optional WITH
clause is used for these
purposes:
To enable a user to grant privileges to other users
To specify resource limits for a user
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.
To grant the GRANT OPTION
privilege to an account without otherwise changing its
privileges, do this:
GRANT USAGE ON *.* TO 'someuser'@'somehost' WITH GRANT OPTION;
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”.
It is possible to place limits on use of server resources by an
account, as discussed in Section 6.3.4, “Setting Account Resource Limits”. To do
so, use a WITH
clause that specifies one or
more resource_option
values. Limits
not specified retain their current values.
GRANT
permits these
resource_option
values:
MAX_QUERIES_PER_HOUR
,
count
MAX_UPDATES_PER_HOUR
,
count
MAX_CONNECTIONS_PER_HOUR
count
These options 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
MAX_QUERIES_PER_HOUR
limit.) If
count
is 0
(the default), this means that there is no limitation for
the account.
MAX_USER_CONNECTIONS
count
Restricts the maximum number of simultaneous connections to
the server by the account. A nonzero
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.
If a given resource limit is specified multiple times, the last instance takes precedence.
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;
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 13.7.1.2, “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 11.6, “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. An error occurs for old accounts that
do not exist or new accounts that already exist. To use this
statement, you must have the global CREATE
USER
privilege or the
UPDATE
privilege for the
mysql
database.
When the read_only
system
variable is enabled, RENAME USER
requires the SUPER
privilege, in
addition to any other required privileges.
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 20.6, “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';
When the read_only
system
variable is enabled, REVOKE
requires the SUPER
privilege, in
addition to any other required privileges.
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 13.7.1.3, “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 13.7.1.2, “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_option
password_option
: { PASSWORD('auth_string
') | OLD_PASSWORD('auth_string
') | 'hash_string
' }
The SET PASSWORD
statement
assigns a password to a MySQL user account:
With no FOR
clause, this
statement sets the password for the current user:
user
SET PASSWORD = password_option
;
Any client who connects to the server using a nonanonymous
account can change the password for that account. To see
which account the server authenticated you as, invoke the
CURRENT_USER()
function:
SELECT CURRENT_USER();
Permitted old_passwords
values are described later in this section.
With a FOR
clause, this
statement sets the password for the named account, which
must exist:
user
SET PASSWORD FOR 'jeffrey'@'localhost' = password_option
;
In this case, you must have the
UPDATE
privilege for the
mysql
database.
When the read_only
system
variable is enabled, SET PASSWORD
requires the SUPER
privilege, in
addition to any other required privileges.
If a FOR
clause is given, the account name uses the format described in
Section 6.2.3, “Specifying Account Names”. The
user
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 account's
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
');
The password can be specified in these ways:
Using the PASSWORD()
function
The
'
function argument is the cleartext (unencrypted) password.
auth_string
'PASSWORD()
hashes the
password and returns the encrypted password string for
storage in the mysql.user
account row.
The old_passwords
system
variable value determines the hashing method used by
PASSWORD()
. It should be set
to a value compatible with the hash format required by the
account authentication plugin. For example, if the account
uses the mysql_native_password
authentication plugin,
old_passwords
should be 0
for PASSWORD()
to produce a
hash value in the correct format. For
mysql_old_password
,
old_passwords
should be 1.
Using the OLD_PASSWORD()
function:
The
'
function argument is the cleartext (unencrypted) password.
auth_string
'OLD_PASSWORD()
hashes the
password using pre-4.1 hashing and returns the encrypted
password string for storage in the
mysql.user
account row. This hashing
method is appropriate only for accounts that use the
mysql_old_password
authentication plugin.
Using an already encrypted password string
The password is specified as a string literal. It must represent the already encrypted password value, in the hash format required by the authentication method used for the account.
The following table shows the permitted values of
old_passwords
, the password
hashing method for each value, and which authentication plugins
use passwords hashed with each method.
Value | Password Hashing Method | Associated Authentication Plugin |
---|---|---|
0 or OFF | MySQL 4.1 native hashing | mysql_native_password |
1 or ON | Pre-4.1 (“old”) hashing | mysql_old_password |
For more information about setting passwords, see Section 6.3.5, “Assigning Account Passwords”
SET PASSWORD
may be recorded in
server logs or on the client side in a history file such as
~/.mysql_history
, which means that
cleartext passwords may be read by anyone having read access
to that information. For information about password logging in
the server logs, see Section 6.1.2.3, “Passwords and Logging”. For
similar information about client-side logging, see
Section 4.5.1.3, “mysql Logging”.
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; if the password
is longer, 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 14.6.10, “Configuring Optimizer Statistics for InnoDB”. Also see
Section 14.6.10.1, “Estimating ANALYZE TABLE Complexity for InnoDB Tables” and
Section 14.8.7, “Limits on InnoDB Tables”.
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 13.1.7, “ALTER TABLE Syntax”, and
Section 19.3.3, “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, specify
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 13.1.7, “ALTER TABLE Syntax”, and
Section 19.3.3, “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 or
Table is already up to date
for a
MyISAM
table, 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 following table shows the other check options that can be given. 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;
CHECK TABLE
may change the
table 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, the problem is most likely 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, 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
may shut down to prevent error propagation. Details of the
error will be written to the error log.
If CHECK TABLE
encounters
corruptions or errors in InnoDB
tables or
indexes, it reports an error. It does not shut down the
server. Starting with MySQL 5.5, CHECK
TABLE
usually marks the index and sometimes marks
the table as corrupted, preventing further use of the index
or table.
If CHECK TABLE
finds the
wrong number of entries in a secondary index, it will report
an error but will not shut down the server or prevent access
to the file.
CHECK TABLE
surveys the index
page structure, then surveys each key entry. It does not
validate the key pointer to a clustered record or follow the
path for BLOB
pointers.
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 affect only the header data. To verify the entire
contents of an InnoDB
.ibd
file, use the
innochecksum command.
When running CHECK TABLE
on large
InnoDB
tables, other threads may be
blocked during CHECK TABLE
execution. To
avoid timeouts, the semaphore wait threshold (600 seconds)
is extended by 2 hours (7200 seconds) for CHECK
TABLE
operations. If InnoDB
detects semaphore waits of 240 seconds or more it starts
printing InnoDB
monitor output to the
error log. If a lock request extends beyond the semaphore
wait threshold, InnoDB
will abort the
process. To avoid the possibility of a semaphore wait
timeout entirely, you can run CHECK TABLE
QUICK
instead of CHECK TABLE
.
CHECKSUM TABLEtbl_name
[,tbl_name
] ... [ QUICK | EXTENDED ]
CHECKSUM TABLE
reports a table
checksum. During the checksum operation, the table is locked
with a read lock for InnoDB
and
MyISAM
. This statement requires the
SELECT
privilege for the table.
With QUICK
, the live table checksum is
reported if it is available, or NULL
otherwise. This is very fast. A live checksum is enabled by
specifying the CHECKSUM=1
table option when
you create the table; currently, this is supported only for
MyISAM
tables. See
Section 13.1.17, “CREATE TABLE Syntax”.
With EXTENDED
, the entire table is read row
by row and the checksum is calculated. This can be very slow for
large tables.
If neither QUICK
nor
EXTENDED
is specified, MySQL returns a live
checksum if the table storage engine supports it and scans the
table otherwise.
For a nonexistent table, CHECKSUM
TABLE
returns NULL
and generates a
warning.
In MySQL 5.5, CHECKSUM
TABLE
returns 0 for partitioned tables unless you
include the EXTENDED
option. This issue is
resolved in MySQL 5.6. (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 an InnoDB
table that has its own
.ibd file because it
was created with the
innodb_file_per_table
option enabled. The table and indexes are reorganized, and
disk space can be reclaimed for use by the operating system.
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 19.3.3, “Maintenance of Partitions”.
OPTIMIZE TABLE
works for
InnoDB
,
MyISAM
, and
ARCHIVE
tables.
OPTIMIZE TABLE
is also supported
for dynamic columns of in-memory
NDB
tables. It does not work for
Disk Data tables. The performance of OPTIMIZE
on Cluster tables can be tuned by adjusting the value of the
ndb_optimization_delay
system variable, which
controls the number of milliseconds to wait between processing
batches of rows by OPTIMIZE
TABLE
. For more information, see
Section 18.1.6.11, “Previous MySQL Cluster Issues Resolved in MySQL 5.1, MySQL Cluster NDB
6.x, and MySQL Cluster NDB 7.x”.
For MySQL Cluster tables, OPTIMIZE
TABLE
can be interrupted by (for example) killing the
SQL thread performing the OPTIMIZE
operation.
By default, OPTIMIZE TABLE
does
not work for tables created using any other
storage engine and returns a result indicating this lack of
support. You can make OPTIMIZE
TABLE
work for 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 | +----------+----------+----------+-------------------------------------------------------------------+
This operation does not use fast index creation. Secondary indexes are not created as efficiently because keys are inserted in the order they appeared in the primary key. See Section 14.13.6, “Limitations of Fast Index Creation”.
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 14.9.5, “How Compression Works for InnoDB Tables” and Section 14.11.1, “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 14.5.3, “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
keyword or
its alias LOCAL
.
OPTIMIZE TABLE
does not sort
R-tree indexes, such as spatial indexes on
POINT
columns. (Bug #23578)
As of MySQL 5.5.6, 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. By default, it has the same effect as
myisamchk --recover
tbl_name
.
REPAIR TABLE
works for
MyISAM
, ARCHIVE
, and
CSV
tables. See
Section 15.3, “The MyISAM Storage Engine”, and
Section 15.6, “The ARCHIVE Storage Engine”, and
Section 15.5, “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 13.1.7, “ALTER TABLE Syntax”, and
Section 19.3.3, “Maintenance of Partitions”.
Normally, you should never have to run
REPAIR TABLE
. However, if
disaster strikes, this statement is very likely to get back all
your data from a MyISAM
table. If your tables
become corrupted often, you should try to find the reason for
it, to eliminate the need to use REPAIR
TABLE
. See Section B.5.4.2, “What to Do If MySQL Keeps Crashing”, and
Section 15.3.4, “MyISAM Table Problems”.
It is best to 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, specify
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”.
As of MySQL 5.5.6, 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 24.3.2.5, “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 24.3.2, “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 13.1.26, “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 24.2.4.2, “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 chance 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. Older versions
of MySQL employed SET OPTION
, but this syntax
is deprecated in favor of
SET
without OPTION
.
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 13.7.1.6, “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 normally requires no special
privilege, although there are exceptions (such as
sql_log_bin
.) A client can
change its own session variables, but 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, and not supported for stored procedure
or function parameters or stored program local variables. This
results in a syntax error for user-defined variables, and the
results are undefined for parameters or local variables.
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
.
This option is a modifier, not a variable. It is
only for internal use for replication:
mysqlbinlog uses SET
ONE_SHOT
to modify temporarily the values of
character set, collation, and time zone variables to reflect
at rollforward what they were originally.
ONE_SHOT
is for internal use only and is
deprecated for MySQL 5.0 and up.
ONE_SHOT
is intended for use only with the
permitted set of variables. It changes the variables as
requested, but only for the next
non-SET
statement. After that, the server resets all character set,
collation, and time zone-related system variables to their
previous values. Example:
mysql>SET ONE_SHOT character_set_connection = latin5;
mysql>SET ONE_SHOT collation_connection = latin5_turkish_ci;
mysql>SHOW VARIABLES LIKE '%_connection';
+--------------------------+-------------------+ | Variable_name | Value | +--------------------------+-------------------+ | character_set_connection | latin5 | | collation_connection | latin5_turkish_ci | +--------------------------+-------------------+ mysql>SHOW VARIABLES LIKE '%_connection';
+--------------------------+-------------------+ | Variable_name | Value | +--------------------------+-------------------+ | character_set_connection | latin1 | | collation_connection | latin1_swedish_ci | +--------------------------+-------------------+
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 21.31, “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 23, 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 21, 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 deprecated as of MySQL 5.5.29 and is removed in MySQL 5.6.
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 5.5.24 and earlier, the
SUPER
privilege was required to
use this statement. Starting with MySQL 5.5.25, 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 4.6.7, “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 21.31, “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.
The filename
character set is for internal
use only; consequently, SHOW CHARACTER
SET
does not display it.
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 21.31, “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 21.31, “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 13.1.17.4, “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
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 deprecated as of MySQL 5.5.29 and is removed in MySQL 5.6.
SHOW CREATE {DATABASE | SCHEMA} [IF NOT EXISTS] db_name
Shows the CREATE DATABASE
statement that creates the named 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”).
To use either statement, you must be the user named in the
routine DEFINER
clause 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 named 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 the CREATE
TRIGGER
statement that creates the named 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
SHOW CREATE TRIGGER
output has
the following columns:
Trigger
: The trigger name.
sql_mode
: The SQL mode in effect when the
trigger executes.
SQL Original Statement
: The
CREATE TRIGGER
statement that
defines the trigger.
character_set_client
: The session value
of the character_set_client
system variable when the trigger was created.
collation_connection
: The session value
of the collation_connection
system variable when the trigger was created.
Database Collation
: The collation of the
database with which the trigger is associated.
You can also obtain information about trigger objects from
INFORMATION_SCHEMA
, which contains a
TRIGGERS
table. See
Section 21.25, “The INFORMATION_SCHEMA TRIGGERS Table”.
SHOW CREATE VIEW view_name
This statement shows the CREATE
VIEW
statement that creates the named 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 21.27, “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 21.31, “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. It requires the
PROCESS
privilege. The statement
has these variants:
SHOW ENGINE INNODB STATUS SHOW ENGINE INNODB MUTEX SHOW ENGINE {NDB | NDBCLUSTER} STATUS 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 14.17, “InnoDB Monitors”.
SHOW ENGINE INNODB
MUTEX
displays InnoDB
mutex and
rw-lock statistics.
Statement output has the following columns:
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 is specific to 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 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. In MySQL
5.5 timing is disabled and this value is
always 0.
As of MySQL 5.5, SHOW ENGINE INNODB MUTEX
skips the mutexes and
rw-locks of
buffer pool blocks, as
the amount of output can be overwhelming on systems with a large
buffer pool. (There is one mutex and one rw-lock in each 16K
buffer pool block, and there are 65,536 blocks per gigabyte.)
SHOW ENGINE INNODB MUTEX
also does not list
any mutexes or rw-locks that have never been waited on
(os_waits=0
). Thus, SHOW ENGINE
INNODB MUTEX
only displays information about mutexes
and rw-locks outside of the buffer pool that have caused at
least one OS-level wait.
SHOW ENGINE INNODB MUTEX
information 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
...
This statement is intended to help the DBA understand the effects that different Performance Schema options have on memory requirements.
Name
values consist of two parts, which name
an internal buffer and a buffer attribute, respectively.
Interpret buffer names as follows:
An internal buffer that is not exposed as a table is named
within parentheses. Examples:
(pfs_cond_class).row_size
,
(pfs_mutex_class).memory
.
An internal buffer that is exposed as a table in the
performance_schema
database is named
after the table, without parentheses. Examples:
events_waits_history.row_size
,
mutex_instances.row_count
.
A value that applies to the Performance Schema as a whole
begins with performance_schema
. Example:
performance_schema.memory
.
Buffer attributes have these meanings:
row_size
is the size of the internal
record used by the implementation, such as the size of a row
in a table. row_size
values cannot be
changed.
row_count
is the number of internal
records, such as the number of rows in a table.
row_count
values can be changed using
Performance Schema configuration options.
For a table,
is the product of tbl_name
.memoryrow_size
and
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
Performance Schema 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).
If the server has the NDBCLUSTER
storage engine enabled,
SHOW ENGINE NDB
STATUS
displays cluster status information such as the
number of connected data nodes, the cluster connectstring, and
cluster binary log epochs, as well as counts of various Cluster
API objects created by the MySQL Server when connected to the
cluster. Sample output from this statement is shown here:
mysql> SHOW ENGINE NDB STATUS;
+------------+-----------------------+--------------------------------------------------+
| Type | Name | Status |
+------------+-----------------------+--------------------------------------------------+
| ndbcluster | connection | cluster_node_id=7,
connected_host=192.168.0.103, connected_port=1186, number_of_data_nodes=4,
number_of_ready_data_nodes=3, connect_count=0 |
| ndbcluster | NdbTransaction | created=6, free=0, sizeof=212 |
| ndbcluster | NdbOperation | created=8, free=8, sizeof=660 |
| ndbcluster | NdbIndexScanOperation | created=1, free=1, sizeof=744 |
| ndbcluster | NdbIndexOperation | created=0, free=0, sizeof=664 |
| ndbcluster | NdbRecAttr | created=1285, free=1285, sizeof=60 |
| ndbcluster | NdbApiSignal | created=16, free=16, sizeof=136 |
| ndbcluster | NdbLabel | created=0, free=0, sizeof=196 |
| ndbcluster | NdbBranch | created=0, free=0, sizeof=24 |
| ndbcluster | NdbSubroutine | created=0, free=0, sizeof=68 |
| ndbcluster | NdbCall | created=0, free=0, sizeof=16 |
| ndbcluster | NdbBlob | created=1, free=1, sizeof=264 |
| ndbcluster | NdbReceiver | created=4, free=0, sizeof=68 |
| ndbcluster | binlog | latest_epoch=155467, latest_trans_epoch=148126,
latest_received_binlog_epoch=0, latest_handled_binlog_epoch=0,
latest_applied_binlog_epoch=0 |
+------------+-----------------------+--------------------------------------------------+
The rows with connection
and
binlog
in the Name
column
were added to the output of this statement in MySQL 5.1. The
Status
column in each of these rows provides
information about the MySQL server's connection to the cluster
and about the cluster binary log's status, respectively. The
Status
information is in the form of
comma-delimited set of name/value pairs.
The connection
row's
Status
column contains the name/value pairs
described in the following table.
Name | Value |
---|---|
cluster_node_id | The node ID of the MySQL server in the cluster |
connected_host | The host name or IP address of the cluster management server to which the MySQL server is connected |
connected_port | The port used by the MySQL server to connect to the management server
(connected_host ) |
number_of_data_nodes | The number of data nodes configured for the cluster (that is, the number
of [ndbd] sections in the cluster
config.ini file) |
number_of_ready_data_nodes | The number of data nodes in the cluster that are actually running |
connect_count | The number of times this mysqld has connected or reconnected to cluster data nodes |
The binlog
row's Status
column contains information relating to MySQL Cluster
Replication. The name/value pairs it contains are described in
the following table.
Name | Value |
---|---|
latest_epoch | The most recent epoch most recently run on this MySQL server (that is, the sequence number of the most recent transaction run on the server) |
latest_trans_epoch | The most recent epoch processed by the cluster's data nodes |
latest_received_binlog_epoch | The most recent epoch received by the binary log thread |
latest_handled_binlog_epoch | The most recent epoch processed by the binary log thread (for writing to the binary log) |
latest_applied_binlog_epoch | The most recent epoch actually written to the binlog |
See Section 18.6, “MySQL Cluster Replication”, for more information.
The remaining rows from the output of
SHOW ENGINE NDB
STATUS
which are most likely to prove useful in
monitoring the cluster are listed here by
Name
:
NdbTransaction
: The number and size of
NdbTransaction
objects that have been
created. An NdbTransaction
is created
each time a table schema operation (such as
CREATE TABLE
or
ALTER TABLE
) is performed on
an NDB
table.
NdbOperation
: The number and size of
NdbOperation
objects that have been
created.
NdbIndexScanOperation
: The number and
size of NdbIndexScanOperation
objects
that have been created.
NdbIndexOperation
: The number and size of
NdbIndexOperation
objects that have been
created.
NdbRecAttr
: The number and size of
NdbRecAttr
objects that have been
created. In general, one of these is created each time a
data manipulation statement is performed by an SQL node.
NdbBlob
: The number and size of
NdbBlob
objects that have been created.
An NdbBlob
is created for each new
operation involving a BLOB
column in an NDB
table.
NdbReceiver
: The number and size of any
NdbReceiver
object that have been
created. The number in the created
column
is the same as the number of data nodes in the cluster to
which the MySQL server has connected.
SHOW ENGINE NDB
STATUS
returns an empty result if no operations
involving NDB
tables have been
performed during the current session by the MySQL client
accessing the SQL node on which this statement is run.
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. This
information can also be obtained from the
INFORMATION_SCHEMA
ENGINES
table. See
Section 21.6, “The INFORMATION_SCHEMA ENGINES Table”.
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. For the engine_name
NDBCLUSTER
storage
engine, DISABLED
means the server was
compiled with support for MySQL Cluster, but was not started
with the --ndbcluster
option.
All MySQL servers support MyISAM
tables. 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
SHOW ERRORS
is a diagnostic
statement that 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 21.31, “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 17.4.1.11, “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 20.4.4, “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 21.7, “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.
SHOW GRANTS
requires the
SELECT
privilege for the
mysql
database, except to see the privileges
for the current user.
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 13.7.1.3, “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 {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 21.31, “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;
+---------------+----------+--------------+------------------+
| File | Position | Binlog_Do_DB | Binlog_Ignore_DB |
+---------------+----------+--------------+------------------+
| mysql-bin.003 | 73 | test | manual,mysql |
+---------------+----------+--------------+------------------+
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 21.31, “Extensions to SHOW Statements”.
SHOW OPEN TABLES
output has 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 21.13, “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
output has 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 24.2, “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”).
To use either statement, you must 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 21.31, “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 21.17, “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.
This 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:
The connection identifier. This is the same type of value
displayed in the ID
column of the
INFORMATION_SCHEMA.PROCESSLIST
table, the PROCESSLIST_ID
column of the
Performance Schema threads
table, and returned by the
CONNECTION_ID()
function.
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.
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
The default database, if one is selected, otherwise
NULL
.
The type of command the thread is executing. For
descriptions for thread commands, see
Section 8.14, “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
The time in seconds that the thread has been in its current state. For a slave SQL thread, the value is the number of seconds between the timestamp of the last replicated event and the real time of the slave machine. See Section 17.2.1, “Replication Implementation Details”.
An action, event, or state that indicates what the thread is
doing. Descriptions for State
values can
be found at Section 8.14, “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
.
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.
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 8.14, “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 21.15, “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”.
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. (Before MySQL 5.5.3, only slaves started with the
--report-host=
option are visible in this list.)
host_name
SHOW SLAVE HOSTS
should be executed on a
server that acts as a replication master. The statement displays
information about servers that are or have been connected as
replication slaves, with each row of the result corresponding to
one slave server, as shown here:
mysql> SHOW SLAVE HOSTS
;
+------------+-----------+------+-----------+
| Server_id | Host | Port | Master_id |
+------------+-----------+------+-----------+
| 192168010 | iconnect2 | 3306 | 192168011 |
| 1921680101 | athena | 3306 | 192168011 |
+------------+-----------+------+-----------+
Server_id
: The unique server ID of the
slave server, as configured in the slave server's
option file, or on the command line with
--server-id=
.
value
Host
: The host name of the slave server
as specified on the slave with the
--report-host
option. This
can differ from the machine name as configured in the
operating system.
User
: The slave server user name as,
specified on the slave with the
--report-user
option.
Statement output includes this column only if the master
server is started with the
--show-slave-auth-info
option.
Password
: The slave server password as,
specified on the slave with the
--report-password
option.
Statement output includes this column only if the master
server is started with the
--show-slave-auth-info
option.
Port
: The port on the master to which the
slave server is listening, as specified on the slave with
the --report-port
option.
In MySQL 5.5.23 and later, a zero in this column means that
the slave port
(--report-port
) was not set.
Prior to MySQL 5.5.23, 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.
This is the server ID of the server on which SHOW
SLAVE HOSTS
is executed, so this same value is
listed for each row in the result.
Some MySQL versions report another variable,
Rpl_recovery_rank
. This
variable was never used, and was removed in MySQL 5.5.3. (Bug
#13963)
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: 3306
Connect_Retry: 3
Master_Log_File: gbichot-bin.005
Read_Master_Log_Pos: 79
Relay_Log_File: gbichot-relay-bin.005
Relay_Log_Pos: 548
Relay_Master_Log_File: gbichot-bin.005
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: 79
Relay_Log_Space: 552
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: 8
Master_SSL_Verify_Server_Cert: No
Last_IO_Errno: 0
Last_IO_Error:
Last_SQL_Errno: 0
Last_SQL_Error:
Replicate_Ignore_Server_Ids: 0
Master_Server_Id: 1
The following list describes the fields returned by
SHOW SLAVE STATUS
. For additional
information about interpreting their meanings, see
Section 8.14.6, “Replication Slave I/O Thread States”.
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. For
a listing of possible states, see
Section 8.14.6, “Replication Slave I/O Thread States”.
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) | No |
5.1 (5.1.46 and later); 5.5 | 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.
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_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_KEY
, and
MASTER_SSL_VERIFY_SERVER_CERT
options to
the CHANGE MASTER TO
statement. See Section 13.4.2.1, “CHANGE MASTER TO Syntax”.
Seconds_Behind_Master
This field is an indication of how “late” the slave is:
When the slave is actively processing updates, this field shows the difference between the current timestamp on the slave and the original timestamp logged on the master for the event currently being processed on the slave.
When no event is currently being processed on the slave, this value is 0.
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.
This field is NULL
(undefined or unknown)
if the slave SQL thread is not running, or if the slave I/O
thread is not running or is not connected to the master. For
example, if the slave I/O thread is running but is not
connected to the master and is sleeping for the number of
seconds given by the CHANGE MASTER
TO
statement or
--master-connect-retry
option
(default 60) before reconnecting, the value is
NULL
. This is because the slave cannot
know what the master is doing, and so cannot say reliably
how late it is.
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.
Last_IO_Errno
,
Last_IO_Error
The error number and error message of the most recent 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.
Prior to MySQL 5.5, Last_IO_Error
and
Last_IO_Errno
were not set in the event
that replication failed due to exceeding
max_allowed_packet
(Bug
#42914).
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 most recent 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.
Example:
Last_SQL_Errno: 1051 Last_SQL_Error: error 'Unknown table 'z'' on query 'drop table z'
The message indicates that the table z
existed on the master and was dropped there, but it did not
exist on the slave, so DROP
TABLE
failed on the slave. (This might occur, for
example, if you forget to copy the table to the slave when
setting up replication.)
Issuing RESET MASTER
or
RESET SLAVE
resets the values
shown in these columns.
Replicate_Ignore_Server_Ids
Beginning with MySQL 5.5, you can tell a slave to ignore
events from 0 or more masters using the
IGNORE_SERVER_IDS
option of the
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
Replicate_Ignore_Server_Ids
filtering is
performed by the I/O thread, rather than by the SQL thread,
which means that events which are filtered out are not
written to the relay log. This differs from the filtering
actions taken by server options such
--replicate-do-table
, which
apply to the SQL thread.
Master_Server_Id
The server_id
value from
the master.
SHOW [GLOBAL | SESSION] STATUS [LIKE 'pattern
' | WHEREexpr
]
SHOW STATUS
provides server
status information (see
Section 5.1.6, “Server Status Variables”). This statement does
not require any privilege. It requires only the ability to
connect to the server.
Status variable information is also available from these sources:
For SHOW STATUS
, a
LIKE
clause, if present, indicates
which variable names to match. A WHERE
clause
can be given to select rows using more general conditions, as
discussed in Section 21.31, “Extensions to SHOW Statements”.
SHOW STATUS
accepts an optional
GLOBAL
or SESSION
variable
scope modifier:
With a GLOBAL
modifier, the statement
displays the global status values. A global status variable
may represent status for some aspect of the server itself
(for example, Aborted_connects
), or the
aggregated status over all connections to MySQL (for
example, Bytes_received
and
Bytes_sent
). If a variable has no global
value, the session value is displayed.
With a SESSION
modifier, the statement
displays the status variable values for the current
connection. If a variable has no session value, the global
value is displayed. LOCAL
is a synonym
for SESSION
.
If no modifier is present, the default is
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.
Partial output is shown here. The list of names and values may differ 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 |
+--------------------+----------+
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 21.31, “Extensions to SHOW Statements”.
This statement also displays information about views.
SHOW TABLE STATUS
output has the
following columns:
Name
The name of the table.
Engine
The storage engine for the table. See Chapter 15, Alternative 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
bytes in completely free 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 21.12, “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 NDBCLUSTER
tables, the output
of this statement shows appropriate values for the
Avg_row_length
and
Data_length
columns, with the exception that
BLOB
columns are not taken into
account
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 21.31, “Extensions to SHOW Statements”.
Matching performed by the LIKE
clause is
dependent on the setting of the
lower_case_table_names
system
variable.
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 (not trigger
names) 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 21.31, “Extensions to SHOW Statements”.
For the trigger ins_sum
as defined in
Section 20.3, “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
SHOW TRIGGERS
output has the
following columns:
Trigger
: The trigger name.
Event
: The type of operation that causes
trigger activation. The value is
'INSERT'
, 'UPDATE'
, or
'DELETE'
.
Table
: The table for which the trigger is
defined.
Statement
: The trigger body; that is, the
statement executed when the trigger activates.
Timing
: Whether the trigger activates
before or after the triggering event. The value is
'BEFORE'
or 'AFTER'
.
Created
: Currently, the value of this
column is always NULL
.
sql_mode
: The SQL mode in effect when the
trigger executes.
Definer
: The account of the user who
created the trigger, in
'
format.
user_name
'@'host_name
'
character_set_client
: The session value
of the character_set_client
system variable when the trigger was created.
collation_connection
: The session value
of the collation_connection
system variable when the trigger was created.
Database Collation
: The collation of the
database with which the trigger is associated.
You can also obtain information about trigger objects from
INFORMATION_SCHEMA
, which contains a
TRIGGERS
table. See
Section 21.25, “The INFORMATION_SCHEMA TRIGGERS Table”.
SHOW [GLOBAL | SESSION] VARIABLES [LIKE 'pattern
' | WHEREexpr
]
SHOW VARIABLES
shows the values
of MySQL system variables (see
Section 5.1.4, “Server System Variables”). This statement does
not require any privilege. It requires only the ability to
connect to the server.
System variable information is also available from these sources:
For SHOW VARIABLES
, a
LIKE
clause, if present, indicates
which variable names to match. A WHERE
clause
can be given to select rows using more general conditions, as
discussed in Section 21.31, “Extensions to SHOW Statements”.
SHOW VARIABLES
accepts an
optional GLOBAL
or SESSION
variable scope modifier:
With a GLOBAL
modifier, the statement
displays global system variable values. These are the values
used to initialize the corresponding session variables for
new connections to MySQL. As of MySQL 5.5.3, if a variable
has no global value, no value is displayed. Before 5.5.3,
the session value is displayed.
With a SESSION
modifier, the statement
displays the system varaible values that are in effect for
the current connection. If a variable has no session value,
the global value is displayed. LOCAL
is a
synonym for SESSION
.
If no modifier is present, the default is
SESSION
.
The scope for each system variable is listed at Section 5.1.4, “Server System Variables”.
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;
Most system variables can be set at server startup (read-only
variables such as
version_comment
are
exceptions). Many 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 differ for your server. Section 5.1.4, “Server System Variables”, describes the meaning of each variable, and Section 8.12.2, “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
is a diagnostic
statement that displays information about the conditions
(errors, warnings, and notes) resulting from executing a
statement in the current session. 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
.
The LIMIT
clause has the same syntax as for
the SELECT
statement. See
Section 13.2.9, “SELECT Syntax”.
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”.
SHOW WARNINGS
displays
information about the conditions resulting from the most recent
statement in the current session that generated messages. It
shows nothing if the most recent statement used a table and
generated no messages. (That is, statements that use a table but
generate no messages clear the message list.) Statements that do
not use tables and do not generate messages have no effect on
the message list.
The SHOW COUNT(*)
WARNINGS
diagnostic 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;
A related diagnostic statement, SHOW
ERRORS
, shows only error conditions (it excludes
warnings and notes), and
SHOW COUNT(*)
ERRORS
statement displays the total number of errors.
See Section 13.7.5.18, “SHOW ERRORS Syntax”.
Here is a simple example that shows data-conversion warnings for
INSERT
:
mysql>CREATE TABLE t1 (a TINYINT NOT NULL, b CHAR(4));
Query OK, 0 rows affected (0.05 sec) mysql>INSERT INTO t1 VALUES(10,'mysql'), (NULL,'test'), (300,'xyz');
Query OK, 3 rows affected, 3 warnings (0.00 sec) Records: 3 Duplicates: 0 Warnings: 3 mysql>SHOW WARNINGS\G
*************************** 1. row *************************** Level: Warning Code: 1265 Message: Data truncated for column 'b' at row 1 *************************** 2. row *************************** Level: Warning Code: 1048 Message: Column 'a' cannot be null *************************** 3. row *************************** Level: Warning Code: 1264 Message: Out of range value for column 'a' at row 3 3 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. To change the number of messages
the server can store, change the value of
max_error_count
. The default is
64.
max_error_count
controls only
how many messages are stored, not how many are counted. The
value of warning_count
is not
limited by max_error_count
,
even if the number of messages generated exceeds
max_error_count
. The following
example demonstrates this. The ALTER
TABLE
statement produces three warning messages
(strict SQL mode is disabled for the example to prevent an error
from occuring after a single conversion issue). Only one message
is stored and displayed because
max_error_count
has been set to
1, but all three are counted (as shown by the value of
warning_count
):
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, sql_mode = '';
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>SHOW WARNINGS;
+---------+------+----------------------------------------+ | Level | Code | Message | +---------+------+----------------------------------------+ | Warning | 1263 | Data truncated for column 'b' at row 1 | +---------+------+----------------------------------------+ 1 row in set (0.00 sec) mysql>SELECT @@warning_count;
+-----------------+ | @@warning_count | +-----------------+ | 3 | +-----------------+ 1 row in set (0.01 sec)
To disable message storage, set
max_error_count
to 0. In this
case, warning_count
still
indicates how many warnings occurred, but messages are not
stored and cannot be displayed.
The sql_notes
system variable
controls whether note messages increment
warning_count
and whether the
server stores them. By default,
sql_notes
is 1, but if set to
0, notes do not increment
warning_count
and the server
does not store them:
mysql>SET sql_notes = 1;
mysql>DROP TABLE IF EXISTS test.no_such_table;
Query OK, 0 rows affected, 1 warning (0.00 sec) mysql>SHOW WARNINGS;
+-------+------+-------------------------------+ | Level | Code | Message | +-------+------+-------------------------------+ | Note | 1051 | Unknown table 'no_such_table' | +-------+------+-------------------------------+ 1 row in set (0.00 sec) mysql>SET sql_notes = 0;
mysql>DROP TABLE IF EXISTS test.no_such_table;
Query OK, 0 rows affected (0.00 sec) mysql>SHOW WARNINGS;
Empty set (0.00 sec)
The MySQL server sends to each client a count indicating the
total number of errors, warnings, and notes resulting from the
most recent statement executed by that client. From the C API,
this value can be obtained by calling
mysql_warning_count()
. See
Section 23.8.7.72, “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 4.6.7, “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.
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 5.5, 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.
As of MySQL 5.5, 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, specify the optional
NO_WRITE_TO_BINLOG
keyword or its alias
LOCAL
.
FLUSH LOGS
,
FLUSH MASTER
,
FLUSH SLAVE
,
and FLUSH TABLES WITH
READ LOCK
(with or without a table list) are not
written to the binary log in any case because they would cause
problems if replicated to a slave.
Sending a SIGHUP
signal to the server causes
several flush operations to occur that are similar to various
forms of the FLUSH
statement. See
Section 5.1.11, “Server Response to Signals”.
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 B.5.2.6, “Host 'host_name' is blocked”.) 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.
Prior to MySQL 5.5.7, if you flush the logs using
FLUSH LOGS
and mysqld is writing the error log to a
file (for example, if it was started with the
--log-error
option), log file
renaming may occur, as described in
Section 5.2.2, “The Error Log”.
FLUSH LOGS
has no effect on tables used
for the general query log or for the slow query log (see
Section 5.2.1, “Selecting General Query and Slow Query Log Output Destinations”).
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.
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.
The log_type
options were added
in MySQL 5.5.3.
MASTER
Deletes all binary logs, resets the binary log index file
and creates a new binary log.
FLUSH
MASTER
is deprecated in favor of
RESET MASTER
.
FLUSH
MASTER
is still accepted in MySQL 5.5
for backward compatibility, but is removed in MySQL 5.6. See
Section 13.4.1.2, “RESET MASTER Syntax”.
PRIVILEGES
Reloads the privileges from the grant tables in the
mysql
database.
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
.
SLAVE
Resets all replication slave parameters, including relay log
files and replication position in the master's binary logs.
FLUSH SLAVE
is deprecated in favor of RESET
SLAVE
.
FLUSH SLAVE
is still accepted in MySQL 5.5 for backward
compatibility, but is removed in MySQL 5.6. See
Section 13.4.2.3, “RESET SLAVE Syntax”.
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 1.6, “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 D.1, “Restrictions on Stored Programs”.
FLUSH TABLES
has several forms, described following. As of MySQL 5.5.3, 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
,
except that TABLE
does not work with the
WITH READ LOCK
variants prior to MySQL 5.5.3.
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.
As of MySQL 5.5.3,
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 as of MySQL 5.5.3 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.
This variant of FLUSH
is
available as of MySQL 5.5.3.
KILL [CONNECTION | QUERY] processlist_id
Each connection to mysqld runs in a separate
thread. You can kill a thread with the KILL
statement.
processlist_id
Thread processlist identifiers can be determined from the
ID
column of the
INFORMATION_SCHEMA.PROCESSLIST
table, the Id
column of
SHOW PROCESSLIST
output, and the
PROCESSLIST_ID
column of the Performance
Schema threads
table. The value for
the current thread is returned by the
CONNECTION_ID()
function.
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
processlist_id
, after terminating
any statement the connection is executing.
KILL QUERY
terminates the statement 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:
During SELECT
operations, for
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
operations, 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. 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 5.5, 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 5.5, 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.
The DESCRIBE
and
EXPLAIN
statements are synonyms,
used either to obtain information about table structure or query
execution plans. For more information, see
Section 13.7.5.6, “SHOW COLUMNS Syntax”, and Section 13.8.2, “EXPLAIN Syntax”.
{EXPLAIN | DESCRIBE | DESC}tbl_name
[col_name
|wild
] {EXPLAIN | DESCRIBE | DESC} [explain_type
] SELECTselect_options
explain_type
: {EXTENDED | PARTITIONS}
The DESCRIBE
and
EXPLAIN
statements are synonyms. In
practice, the DESCRIBE
keyword is
more often used to obtain information about table structure,
whereas EXPLAIN
is used to obtain a
query execution plan (that is, an explanation of how MySQL would
execute a query). The following discussion uses the
DESCRIBE
and
EXPLAIN
keywords in accordance with
those uses, but the MySQL parser treats them as completely
synonymous.
DESCRIBE
provides information about
the columns in a table:
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 | |
+------------+----------+------+-----+---------+----------------+
DESCRIBE
is a shortcut for
SHOW COLUMNS
. These statements also
display information for views. The description for
SHOW COLUMNS
provides more
information about the output columns. See
Section 13.7.5.6, “SHOW COLUMNS Syntax”.
By default, DESCRIBE
displays
information about all columns in the table.
col_name
, if given, is the name of a
column in the table. In this case, the statement displays
information only for the named column.
wild
, if given, is a pattern string. It
can contain the SQL “%
” and
“_
” wildcard characters. In this
case, the statement displays 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.
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”.
The EXPLAIN
statement provides
information about how MySQL executes statements:
When you precede a SELECT
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. For information about using
EXPLAIN
to obtain execution
plan information, see Section 8.8.2, “EXPLAIN Output Format”.
EXPLAIN EXTENDED
can be used to
obtain additional execution plan information. See
Section 8.8.3, “EXPLAIN EXTENDED Output Format”.
EXPLAIN
PARTITIONS
is useful for examining queries involving
partitioned tables. See Section 19.3.4, “Obtaining Information About Partitions”.
With the help of EXPLAIN
, you can
see where you should add indexes to tables so that the statement
executes faster by using indexes to find rows. You can also use
EXPLAIN
to check whether the
optimizer joins the tables in an optimal order. To give a hint to
the optimizer to use a join order corresponding to the order in
which the tables are named in a
SELECT
statement, begin the
statement with SELECT STRAIGHT_JOIN
rather than
just SELECT
. (See
Section 13.2.9, “SELECT Syntax”.)
If you have a problem with indexes not being used when you believe
that they should be, run ANALYZE
TABLE
to update table statistics, such as cardinality of
keys, that can affect the choices the optimizer makes. See
Section 13.7.2.1, “ANALYZE TABLE 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 search string can contain the wildcard characters
“%
” and
“_
”. These have the same meaning
as for pattern-matching operations performed with the
LIKE
operator. For example,
HELP 'rep%'
returns a list of topics that begin
with rep
.
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;