ANALYZE [NO_WRITE_TO_BINLOG | LOCAL] TABLE tbl_name [, tbl_name] ...
ANALYZE TABLE works with
MyISAM tables. It does not work with views.
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 Statement”, and
Section 19.3.3, “Maintenance of Partitions”.
During the analysis, the table is locked with a read lock for
ANALYZE TABLE removes the table
from the table definition cache, which requires a flush lock. If
there are long running statements or transactions still using
the table, subsequent statements and transactions must wait for
those operations to finish before the flush lock is released.
ANALYZE TABLE itself
typically finishes quickly, it may not be apparent that delayed
transactions or statements involving the same table are due to
the remaining flush lock.
By default, the server writes
TABLE statements to the binary log so that they
replicate to replication slaves. To suppress logging, specify
NO_WRITE_TO_BINLOG keyword or
ANALYZE TABLE returns a result
set with the columns shown in the following table.
||The table name|
||An informational message|
If the table has not changed since the last key distribution analysis, the table is not analyzed again.
MySQL uses the stored key distribution to decide the table join order for joins 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.
To check the stored key distribution cardinality, use the
SHOW INDEX statement or the
STATISTICS table. See
Section 126.96.36.199, “SHOW INDEX Statement”, and
Section 21.21, “The INFORMATION_SCHEMA STATISTICS Table”.
ANALYZE TABLE determines index
cardinality by performing random dives on each of the index
trees and updating index cardinality estimates accordingly.
Because these are only estimates, repeated runs of
ANALYZE TABLE could produce
different numbers. This makes
TABLE fast on
InnoDB tables but
not 100% accurate because it does not take all rows into
account. You can adjust the number of random dives by
For more information about key distribution in
Section 14.11.10, “Configuring Optimizer Statistics for InnoDB”, and
Section 188.8.131.52, “Estimating ANALYZE TABLE Complexity for InnoDB Tables”.
MySQL uses index cardinality estimates in join optimization.
If a join is not optimized in the right way, try running
ANALYZE TABLE. In the few cases
ANALYZE TABLE does not
produce values good enough for your particular tables, you can
FORCE INDEX with your queries to force
the use of a particular index, or set the
variable to ensure that MySQL prefers index lookups over table
scans. See Section B.4.5, “Optimizer-Related Issues”.