17.3.4. Obtaining Information About Partitions
This section discusses obtaining information about existing
partitions. This functionality is still in the planning stages,
so what is described here actually at this time serves as a
survey of what we intend to implement in MySQL 5.1.
As discussed elsewhere in this chapter, SHOW CREATE
TABLE includes in its output the PARTITION
BY clause used to create a partitioned table. For
example:
mysql> SHOW CREATE TABLE trb3\G
*************************** 1. row ***************************
Table: trb3
Create Table: CREATE TABLE `trb3` (
`id` int(11) default NULL,
`name` varchar(50) default NULL,
`purchased` date default NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1
PARTITION BY RANGE (YEAR(purchased)) (
PARTITION p0 VALUES LESS THAN (1990) ENGINE = MyISAM,
PARTITION p1 VALUES LESS THAN (1995) ENGINE = MyISAM,
PARTITION p2 VALUES LESS THAN (2000) ENGINE = MyISAM,
PARTITION p3 VALUES LESS THAN (2005) ENGINE = MyISAM
)
1 row in set (0.00 sec)
Note: In early MySQL 5.1
releases, the PARTITIONS clause was not shown
for tables partitioned by HASH or
KEY. This issue was fixed in MySQL 5.1.6.
SHOW TABLE STATUS works with partitioned
tables, and its output is the same as that for non-partitioned
tables, except that the Engine column always
contains the value 'PARTITION'. (See
Section 13.5.4.24, “SHOW TABLE STATUS Syntax”, for more information about
this command.)
You can also obtain information about partitions from
INFORMATION_SCHEMA, which contains a
PARTITIONS table. See
Section 23.19, “The INFORMATION_SCHEMA PARTITIONS Table”.
Beginning with MySQL 5.1.5, it is possible to determine which
partitions of a partitioned table are involved in a given
SELECT query using EXPLAIN
PARTITIONS. The PARTITIONS keyword
adds a partitions column to the output of
EXPLAIN listing the partitions from which
records would be matched by the query.
Suppose that you have a table trb1 defined
and populated as follows:
CREATE TABLE trb1 (id INT, name VARCHAR(50), purchased DATE)
PARTITION BY RANGE(id)
(
PARTITION p0 VALUES LESS THAN (3),
PARTITION p1 VALUES LESS THAN (7),
PARTITION p2 VALUES LESS THAN (9),
PARTITION p3 VALUES LESS THAN (11)
);
INSERT INTO trb1 VALUES
(1, 'desk organiser', '2003-10-15'),
(2, 'CD player', '1993-11-05'),
(3, 'TV set', '1996-03-10'),
(4, 'bookcase', '1982-01-10'),
(5, 'exercise bike', '2004-05-09'),
(6, 'sofa', '1987-06-05'),
(7, 'popcorn maker', '2001-11-22'),
(8, 'aquarium', '1992-08-04'),
(9, 'study desk', '1984-09-16'),
(10, 'lava lamp', '1998-12-25');
You can see which partitions are used in a query such as
SELECT * FROM trb1;, as shown here:
mysql> EXPLAIN PARTITIONS SELECT * FROM trb1\G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: trb1
partitions: p0,p1,p2,p3
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 10
Extra: Using filesort
In this case, all four partitions are searched. However, when a
limiting condition making use of the partitioning key is added
to the query, you can see that only those partitions containing
matching values are scanned, as shown here:
mysql> EXPLAIN PARTITIONS SELECT * FROM trb1 WHERE id < 5\G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: trb1
partitions: p0,p1
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 10
Extra: Using where
EXPLAIN PARTITIONS provides information about
keys used and possible keys, just as with the standard
EXPLAIN SELECT statement:
mysql> ALTER TABLE trb1 ADD PRIMARY KEY (id);
Query OK, 10 rows affected (0.03 sec)
Records: 10 Duplicates: 0 Warnings: 0
mysql> EXPLAIN PARTITIONS SELECT * FROM trb1 WHERE id < 5\G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: trb1
partitions: p0,p1
type: range
possible_keys: PRIMARY
key: PRIMARY
key_len: 4
ref: NULL
rows: 7
Extra: Using where
You should take note of the following restrictions and
limitations on EXPLAIN PARTITIONS:
You cannot use the PARTITIONS and
EXTENDED keywords together in the same
EXPLAIN ... SELECT statement. Attempting
to do so produces a syntax error.
If EXPLAIN PARTITIONS is used to examine
a query against a non-partitioned table, no error is
produced, but the value of the partitions
column is always NULL.