A parallel MySQL optimizer
$ optimizer.py <-i include [-i...]> [-x <exclude> [-x...]] [-u user -p pass] <ip:port> <database>...
where the -i and -x options list the tables which are to be optimized and ignored, respectively. There may be more than one of these options.
Those options accept wildcards, so any of the following syntax is correct:
- % (all tables)
- foo (only the foo table)
- foo% (tables starting with foo)
- %foo% (tables containing foo in the name)
- engine:innodb (only InnoDB storage engine.)
- data_free:5000 (tables with more than 5KB of free space)
optimizer.py does not write the optimize statements in the binary log, since it runs the
OPTIMIZE LOCAL TABLE command.
By default 2 parallel optimize commands are executed simultaneously. You can tweak this parameter with the -n flag.
$ optimizer.py -i engine:innodb -x bigTable -x archive% 10.1.1.1:3306 db1 db2
Optimize all InnoDB tables, excluding bigtable and those starting with archive, on databases db1 and db2.
$ optimizer.py -n 4 -i % 10.1.1.1:3306 db1
Optimize all tables on db1, running 4 parallel optimizes.
On an idle database server with fast disks, run n-1 parallel optimizes, where n is the total number of CPU cores installed.