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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 5.6.11 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 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: pCreate 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: 0mysql>SHOW CREATE TABLE p\G
*************************** 1. row *************************** Table: pCreate 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
18.6.1, "Partitioning Keys, Primary Keys, and Unique Keys". The CREATE
TABLE ... PARTITION BY
rules for specifying the number of partitions also apply to ALTER TABLE ... PARTITION BY
.
The partition_definition
clause for ALTER
TABLE ADD PARTITION
supports the same options as the clause of the same name for the CREATE TABLE
statement. (See Section
13.1.17, "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 NDB
storage engine. See Section
18.3.1, "Management of RANGE
and LIST
Partitions", and Section 17.1.6,
"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..
In MySQL 5.6, it is possible to delete rows from selected partitions using the TRUNCATE PARTITION
option. This option takes a comma-separated list of
one or more partition names. For example, consider the table t1
as
defined here:
CREATE TABLE t1 ( id INT, year_col INT)PARTITION BY RANGE (year_col) ( PARTITION p0 VALUES LESS THAN (1991), PARTITION p1 VALUES LESS THAN (1995), PARTITION p2 VALUES LESS THAN (1999), PARTITION p3 VALUES LESS THAN (2003), PARTITION p4 VALUES LESS THAN (2007));
To delete all rows from partition p0
, you can use the following
statement:
ALTER TABLE t1 TRUNCATE PARTITION p0;
The statement just shown has the same effect as the following DELETE
statement:
DELETE FROM t1 WHERE year_col < 1991;
When truncating multiple partitions, the partitions do not have to be contiguous: This can greatly
simplify delete operations on partitioned tables that would otherwise require very complex WHERE
conditions if done with DELETE
statements. For example, this statement deletes all rows
from partitions p1
and p3
:
ALTER TABLE t1 TRUNCATE PARTITION p1, p3;
An equivalent DELETE
statement is shown here:
DELETE FROM t1 WHERE (year_col >= 1991 AND year_col < 1995) OR (year_col >= 2003 AND year_col < 2007);
You can also use the ALL
keyword in place of the list of partition
names; in this case, the statement acts on all partitions in the table.
TRUNCATE PARTITION
merely deletes rows; it does not alter the definition
of the table itself, or of any of its partitions.
TRUNCATE PARTITION
does not work with subpartitions.
You can verify that the rows were dropped by checking the INFORMATION_SCHEMA.PARTITIONS
table, using a query such as this one:
SELECT PARTITION_NAME, TABLE_ROWS FROM INFORMATION_SCHEMA.PARTITIONS WHERE TABLE_NAME = 't1';
TRUNCATE PARTITION
is supported only for partitioned tables that use the
MyISAM
, InnoDB
, or MEMORY
storage engine. It also works on BLACKHOLE
tables (but has no effect). It is not supported for ARCHIVE
tables.
COALESCE PARTITION
can be used with a table that is partitioned by HASH
or KEY
to reduce the number of
partitions by number
. Suppose that you have created table
t2
using the following definition:
CREATE TABLE t2 ( name VARCHAR (30), started DATE)PARTITION BY HASH( YEAR(started) )PARTITIONS 6;
You can reduce the number of partitions used by t2
from 6 to 4 using
the following statement:
ALTER TABLE t2 COALESCE PARTITION 2;
The data contained in the last number
partitions will be
merged into the remaining partitions. In this case, partitions 4 and 5 will be merged into the first
4 partitions (the partitions numbered 0, 1, 2, and 3).
To change some but not all the partitions used by a partitioned table, you can use REORGANIZE PARTITION
. This statement can be used in several ways:
To merge a set of partitions into a single partition. This can be done
by naming several partitions in the partition_names
list and supplying a single
definition for partition_definition
.
To split an existing partition into several partitions. You can
accomplish this by naming a single partition for partition_names
and providing multiple partition_definitions
.
To change the ranges for a subset of partitions defined using VALUES LESS THAN
or the value lists for a subset of partitions
defined using VALUES IN
.
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
17.5.13, "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. You can use ALTER ONLINE TABLE ...
MAX_ROWS=
to increase the
maxmimum 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
18.3.1, "Management of RANGE
and LIST
Partitions".
It is also possible in MySQL 5.6 to exchange a table partition or subpartition with
a table using ALTER TABLE
, where pt
EXCHANGE
PARTITION p
WITH TABLE nt
pt
is the partitioned table and p
is the partition or subpartition of pt
to be exchanged with unpartitioned table nt
, provided that the following statements are true:
Table nt
is not itself
partitioned.
Table nt
is not a temporary
table.
The structures of tables pt
and nt
are otherwise identical.
There are no rows in nt
that
lie outside the boundaries of the partition definition for p
.
Table nt
contains no foreign key
references, and no other table has any foreign keys that refer to nt
.
Executing ALTER TABLE ... EXCHANGE
PARTITION
does not invoke any triggers on either the partitioned table or the table to be
exchanged.
Any AUTO_INCREMENT
columns in the table to be exchanged with a
partition are reset.
The IGNORE
keyword has no effect when used with ALTER
TABLE ... EXCHANGE PARTITION
.
For more information about and examples of ALTER TABLE ... EXCHANGE
PARTITION
, see Section
18.3.3, "Exchanging Partitions and Subpartitions with Tables".
Several additional options provide partition maintenance and repair functionality
analogous to that implemented for nonpartitioned tables by statements such as CHECK TABLE
and REPAIR TABLE
(which are also supported for partitioned tables; see Section 13.7.2, "Table Maintenance Statements"
for more information). These include ANALYZE PARTITION
, CHECK PARTITION
, OPTIMIZE PARTITION
, REBUILD PARTITION
, and REPAIR PARTITION
.
Each of these options takes a partition_names
clause
consisting of one or more names of partitions, separated by commas. The partitions must already exist in
the table to be altered. You can also use the ALL
keyword in place of partition_names
, in which case the statement acts on all
partitions in the table. For more information and examples, see Section
18.3.4, "Maintenance of Partitions".
Some MySQL storage engines, such as InnoDB
, do not support per-partition optimization. For a partitioned
table using such a storage engine, ALTER TABLE ... OPTIMIZE PARTITION
rebuilds the entire table. This is a known issue. Beginning with MySQL 5.6.9, running this statement
on such a table causes the entire table to rebuilt and analyzed, and an appropriate warning to be
issued. (Bug #11751825, 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 drop
columns or indexes.
Using the ENGINE
option with ALTER TABLE
changes the storage engine used by the table without
affecting the partitioning.
Prior to MySQL 5.6.6, when ALTER TABLE ... EXCHANGE PARTITION
or ALTER TABLE ... TRUNCATE PARTITION
was run against a partitioned table that used MyISAM
(or another storage engine that makes use of table-level locking), the
entire partitioned table was locked; in MySQL 5.6.6 and later, in such cases, only those partitions that are
actually read from are locked. This did not (and does not) affect partitioned tables using a storage engine—such
as InnoDB
—that employs row-level
locking. See Section 18.6.4, "Partitioning and Locking".
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
, EXCHANGE PARTITION
, REORGANIZE
PARTITION
, or COALESCE PARTITION
, ANALYZE
PARTITION
, CHECK PARTITION
, OPTIMIZE PARTITION
,
REBUILD PARTITION
, REMOVE PARTITIONING
.
For example, the following two statements are invalid:
ALTER TABLE t1 ANALYZE PARTITION p1, ANALYZE PARTITION p2;ALTER TABLE t1 ANALYZE PARTITION p1, CHECK PARTITION p2;
In the first case, you can analyze partitions p1
and p2
of table t1
concurrently using a single statement
with a single ANALYZE PARTITION
option that lists both of the partitions to be
analyzed, like this:
ALTER TABLE t1 ANALYZE PARTITION p1, p2;
In the second case, it is not possible to perform ANALYZE
and CHECK
operations on different partitions of the same table concurrently. Instead, you
must issue two separate statements, like this:
ALTER TABLE t1 ANALYZE PARTITION p1;ALTER TABLE t1 CHECK PARTITION p2;