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;
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 18.5.1, “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 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. It is also not possible to rename a
partition or a partitioned table. Instead, if you wish to
rename a partition, you must drop and re-create the
partition; if you wish to rename a partitioned table, you
must instead drop all partitions, rename the table, and then
add back the partitions that were dropped.
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
NDBCLUSTER 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 17.5.12, “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 maxmimum number of rows for the table;
after this, rowsALTER 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”.
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 18.3.3, “Maintenance of Partitions”.
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.
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;

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