Subpartitioning—also known as composite
        partitioning—is the further division of each
        partition in a partitioned table. Consider the following
        CREATE TABLE statement:
      
CREATE TABLE ts (id INT, purchased DATE)
    PARTITION BY RANGE( YEAR(purchased) )
    SUBPARTITION BY HASH( TO_DAYS(purchased) )
    SUBPARTITIONS 2 (
        PARTITION p0 VALUES LESS THAN (1990),
        PARTITION p1 VALUES LESS THAN (2000),
        PARTITION p2 VALUES LESS THAN MAXVALUE
    );
        Table ts has 3 RANGE
        partitions. Each of these
        partitions—p0, p1,
        and p2—is further divided into 2
        subpartitions. In effect, the entire table is divided into
        3 * 2 = 6 partitions. However, due to the
        action of the PARTITION BY RANGE clause, the
        first 2 of these store only those records with a value less than
        1990 in the purchased column.
      
        In MySQL 5.5, it is possible to subpartition tables
        that are partitioned by RANGE or
        LIST. Subpartitions may use either
        HASH or KEY partitioning.
        This is also known as composite
        partitioning.
      
          SUBPARTITION BY HASH and
          SUBPARTITION BY KEY generally follow the
          same syntax rules as PARTITION BY HASH and
          PARTITION BY KEY, respectively. An
          exception to this is that SUBPARTITION BY
          KEY (unlike PARTITION BY KEY)
          does not currently support a default column, so the column
          used for this purpose must be specified, even if the table has
          an explicit primary key. This is a known issue which we are
          working to address; see
          Issues with subpartitions, for
          more information and an example.
        
        It is also possible to define subpartitions explicitly using
        SUBPARTITION clauses to specify options for
        individual subpartitions. For example, a more verbose fashion of
        creating the same table ts as shown in the
        previous example would be:
      
CREATE TABLE ts (id INT, purchased DATE)
    PARTITION BY RANGE( YEAR(purchased) )
    SUBPARTITION BY HASH( TO_DAYS(purchased) ) (
        PARTITION p0 VALUES LESS THAN (1990) (
            SUBPARTITION s0,
            SUBPARTITION s1
        ),
        PARTITION p1 VALUES LESS THAN (2000) (
            SUBPARTITION s2,
            SUBPARTITION s3
        ),
        PARTITION p2 VALUES LESS THAN MAXVALUE (
            SUBPARTITION s4,
            SUBPARTITION s5
        )
    );
Some syntactical items of note are listed here:
Each partition must have the same number of subpartitions.
If you explicitly define any subpartitions using
SUBPARTITIONon any partition of a partitioned table, you must define them all. In other words, the following statement will fail:CREATE TABLE ts (id INT, purchased DATE) PARTITION BY RANGE( YEAR(purchased) ) SUBPARTITION BY HASH( TO_DAYS(purchased) ) ( PARTITION p0 VALUES LESS THAN (1990) ( SUBPARTITION s0, SUBPARTITION s1 ), PARTITION p1 VALUES LESS THAN (2000), PARTITION p2 VALUES LESS THAN MAXVALUE ( SUBPARTITION s2, SUBPARTITION s3 ) );This statement would still fail even if it included a
SUBPARTITIONS 2clause.Each
SUBPARTITIONclause must include (at a minimum) a name for the subpartition. Otherwise, you may set any desired option for the subpartition or allow it to assume its default setting for that option.Subpartition names must be unique across the entire table. For example, the following
CREATE TABLEstatement is valid in MySQL 5.5:CREATE TABLE ts (id INT, purchased DATE) PARTITION BY RANGE( YEAR(purchased) ) SUBPARTITION BY HASH( TO_DAYS(purchased) ) ( PARTITION p0 VALUES LESS THAN (1990) ( SUBPARTITION s0, SUBPARTITION s1 ), PARTITION p1 VALUES LESS THAN (2000) ( SUBPARTITION s2, SUBPARTITION s3 ), PARTITION p2 VALUES LESS THAN MAXVALUE ( SUBPARTITION s4, SUBPARTITION s5 ) );
        Subpartitions can be used with especially large tables to
        distribute data and indexes across many disks. Suppose that you
        have 6 disks mounted as /disk0,
        /disk1, /disk2, and so
        on. Now consider the following example:
      
CREATE TABLE ts (id INT, purchased DATE)
    PARTITION BY RANGE( YEAR(purchased) )
    SUBPARTITION BY HASH( TO_DAYS(purchased) ) (
        PARTITION p0 VALUES LESS THAN (1990) (
            SUBPARTITION s0
                DATA DIRECTORY = '/disk0/data'
                INDEX DIRECTORY = '/disk0/idx',
            SUBPARTITION s1
                DATA DIRECTORY = '/disk1/data'
                INDEX DIRECTORY = '/disk1/idx'
        ),
        PARTITION p1 VALUES LESS THAN (2000) (
            SUBPARTITION s2
                DATA DIRECTORY = '/disk2/data'
                INDEX DIRECTORY = '/disk2/idx',
            SUBPARTITION s3
                DATA DIRECTORY = '/disk3/data'
                INDEX DIRECTORY = '/disk3/idx'
        ),
        PARTITION p2 VALUES LESS THAN MAXVALUE (
            SUBPARTITION s4
                DATA DIRECTORY = '/disk4/data'
                INDEX DIRECTORY = '/disk4/idx',
            SUBPARTITION s5
                DATA DIRECTORY = '/disk5/data'
                INDEX DIRECTORY = '/disk5/idx'
        )
    );
        In this case, a separate disk is used for the data and for the
        indexes of each RANGE. Many other variations
        are possible; another example might be:
      
CREATE TABLE ts (id INT, purchased DATE)
    PARTITION BY RANGE(YEAR(purchased))
    SUBPARTITION BY HASH( TO_DAYS(purchased) ) (
        PARTITION p0 VALUES LESS THAN (1990) (
            SUBPARTITION s0a
                DATA DIRECTORY = '/disk0'
                INDEX DIRECTORY = '/disk1',
            SUBPARTITION s0b
                DATA DIRECTORY = '/disk2'
                INDEX DIRECTORY = '/disk3'
        ),
        PARTITION p1 VALUES LESS THAN (2000) (
            SUBPARTITION s1a
                DATA DIRECTORY = '/disk4/data'
                INDEX DIRECTORY = '/disk4/idx',
            SUBPARTITION s1b
                DATA DIRECTORY = '/disk5/data'
                INDEX DIRECTORY = '/disk5/idx'
        ),
        PARTITION p2 VALUES LESS THAN MAXVALUE (
            SUBPARTITION s2a,
            SUBPARTITION s2b
        )
    );
Here, the storage is as follows:
Rows with
purchaseddates from before 1990 take up a vast amount of space, so are split up 4 ways, with a separate disk dedicated to the data and to the indexes for each of the two subpartitions (s0aands0b) making up partitionp0. In other words:The data for subpartition
s0ais stored on/disk0.The indexes for subpartition
s0aare stored on/disk1.The data for subpartition
s0bis stored on/disk2.The indexes for subpartition
s0bare stored on/disk3.
Rows containing dates ranging from 1990 to 1999 (partition
p1) do not require as much room as those from before 1990. These are split between 2 disks (/disk4and/disk5) rather than 4 disks as with the legacy records stored inp0:Data and indexes belonging to
p1's first subpartition (s1a) are stored on/disk4—the data in/disk4/data, and the indexes in/disk4/idx.Data and indexes belonging to
p1's second subpartition (s1b) are stored on/disk5—the data in/disk5/data, and the indexes in/disk5/idx.
Rows reflecting dates from the year 2000 to the present (partition
p2) do not take up as much space as required by either of the two previous ranges. Currently, it is sufficient to store all of these in the default location.In future, when the number of purchases for the decade beginning with the year 2000 grows to a point where the default location no longer provides sufficient space, the corresponding rows can be moved using an
ALTER TABLE ... REORGANIZE PARTITIONstatement. See Section 18.3, “Partition Management”, for an explanation of how this can be done.
        The DATA DIRECTORY and INDEX
        DIRECTORY options are not permitted in partition
        definitions when the
        NO_DIR_IN_CREATE server SQL
        mode is in effect. Beginning with MySQL 5.5.5, these options are
        also not permitted when defining subpartitions (Bug#42954).