当innodb_file_per_table设置为OFF,那么全部数据将被存储在ibdata文件。若是删除一些数据和删除一些表则没有回收未使用的磁盘空间,除了导出表而后再导入的方法来回收表空间大小,除此以外没有任何其余的方法。
当innodb_file_per_table设置为ON时,每一个表中存储的数据和索引在它本身的表空间文件。可是,共享表空间的ibdata1仍然在增加,为何呢?由于ibdata1中依然有:html
(1)data dictionary aka metadata of InnoDB tablesmysql
(2)change buffersql
(3)doublewrite buffer服务器
(4)undo logsapp
更为详细的介绍请各位童鞋阅读此文章
http://www.mysqlperformanceblog.com/2013/08/20/why-is-the-ibdata1-file-continuously-growing-in-mysql/工具
当你删除表中一些记录时,他们只是在磁盘上标记为删除,但空间会由之后能够重复使用,当插入/更新多个行,但它永远不会被回收。
可是,若是设置innodb_file_per_table为ON,即便用独立表空间,那么能够经过在该表运行OPTIMIZE TABLE回收空间。 OPTIMIZE TABLE将建立一个新的相同的空表。而后,它会经过行数据复制一行从旧表到新的表。在这个过程当中一个新的。 ibd表空间将被建立和空间将被回收。性能
具体的咱们来看一个例子:优化
mysql> select count(*) from salaries; +----------+ | count(*) | +----------+ | 2844047 | +----------+ 1 row in set (0.00 sec) mysql>
[root@localhost ~]# ls -lh /data/mysql/employees/salaries.ibd -rw-rw---- 1 mysql mysql 140M Mar 26 22:12 /data/mysql/employees/salaries.ibd [root@localhost ~]#
mysql> delete from salaries limit 2000000; Query OK, 2000000 rows affected (37.50 sec) mysql> select count(*) from salaries; +----------+ | count(*) | +----------+ | 844047 | +----------+ 1 row in set (0.13 sec) mysql>
[root@localhost ~]# ls -lh /data/mysql/employees/salaries.ibd -rw-rw---- 1 mysql mysql 140M Mar 26 23:56 /data/mysql/employees/salaries.ibd [root@localhost ~]#
能够看见虽然删除200w记录后,可是ibd文件并无减少,仍是140M。spa
mysql> optimize table salaries; +--------------------+----------+----------+-------------------------------------------------------------------+ | Table | Op | Msg_type | Msg_text | +--------------------+----------+----------+-------------------------------------------------------------------+ | employees.salaries | optimize | note | Table does not support optimize, doing recreate + analyze instead | | employees.salaries | optimize | status | OK | +--------------------+----------+----------+-------------------------------------------------------------------+ 2 rows in set (7.89 sec) mysql>
[root@localhost ~]# ls -lh /data/mysql/employees/salaries.ibd -rw-rw---- 1 mysql mysql 48M Mar 27 00:01 /data/mysql/employees/salaries.ibd [root@localhost ~]#
在OPTIMIZE 优化表后,能够回收空间。正如你看到的,salaries.ibd文件的大小减少从140M减少到48M。
我想在这里提一提,在这个过程当中该表将被锁定(Table locked for just Writes),当操做比较大的表时,这会影响性能,数据没法写入。因此,若是不想要锁定表,咱们能够使用Percona的pt-online-schema-change。它能够改变表的存储引擎而且不会锁表。能够使用ALTER TABLE ENGINE=INNODB,这将从新建立表并回收空间。code
mysql> select count(*) from salaries; +----------+ | count(*) | +----------+ | 2844047 | +----------+ 1 row in set (0.00 sec) mysql> delete from salaries limit 2000000; Query OK, 2000000 rows affected (21.88 sec) mysql> \! ls -lh /data/mysql/employees/salaries.ibd -rw-rw---- 1 mysql mysql 140M Mar 27 00:21 /data/mysql/employees/salaries.ibd
接下来使用pt-online-schema-change回收空间:
[root@localhost ~]# pt-online-schema-change --alter "ENGINE=InnoDB" D=employees,t=salaries --execute Operation, tries, wait: copy_rows, 10, 0.25 create_triggers, 10, 1 drop_triggers, 10, 1 swap_tables, 10, 1 update_foreign_keys, 10, 1 Altering `employees`.`salaries`... Creating new table... Created new table employees._salaries_new OK. Altering new table... Altered `employees`.`_salaries_new` OK. 2014-03-27T00:24:29 Creating triggers... 2014-03-27T00:24:29 Created triggers OK. 2014-03-27T00:24:29 Copying approximately 843830 rows... 2014-03-27T00:24:41 Copied rows OK. 2014-03-27T00:24:41 Swapping tables... 2014-03-27T00:24:41 Swapped original and new tables OK. 2014-03-27T00:24:41 Dropping old table... 2014-03-27T00:24:41 Dropped old table `employees`.`_salaries_old` OK. 2014-03-27T00:24:41 Dropping triggers... 2014-03-27T00:24:41 Dropped triggers OK. Successfully altered `employees`.`salaries`. [root@localhost ~]# ls -lh /data/mysql/employees/salaries.ibd -rw-rw---- 1 mysql mysql 48M Mar 27 00:24 /data/mysql/employees/salaries.ibd [root@localhost ~]#
能够看见已经成功释放空间。从140M缩小到48M
使用该工具须要注意:
请确保有足够的空间运行pt-online-schema-change,由于它会建立一个包含原始表的大小大体相同的临时表。在主的操做会应用到从服务器!(假如你是主从环境)
参考资料:
http://www.mysqlperformanceblog.com/2013/09/25/how-to-reclaim-space-in-innodb-when-innodb_file_per_table-is-on/
http://www.percona.com/doc/percona-toolkit/2.1/pt-online-schema-change.html