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[PHP] Mysql的表的碎片清理_MySQL

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  • 发表于 2017-5-12 16:11:00 | 显示全部楼层 |阅读模式
    最近在生成环境下的mysql运行下降,有些sql执行也慢,首先检查下慢查询日志是否开启
    show variables like ‘slow_query_log%’


    在看慢日志设置的时间
    show variables like ‘long_query_time%’;


    可以看到开启了慢查询,find / -name slow-query.log查找慢日志
    发现里面的sql是很慢但是都走了索引但是这些慢的sql都指向一两个表。所以想到可能是每次备份对这几个表的删除操作,但是没有进行碎片整理
    进行下碎片整理,按表的引擎来处理
    Myisam清理碎片
    OPTIMIZE TABLE table_name、
    InnoDB碎片清理
    看到这段话
    if you frequently delete rows (or update rows with variable-length data types), you can end up with a lot of wasted space in your data file(s), similar to filesystem fragmentation.
    If you’re not using the innodb_file_per_table option, the only thing you can do about it is export and import the database, a time-and-disk-intensive procedure.
    But if you are using innodb_file_per_table, you can identify and reclaim this space!
    Prior to 5.1.21, the free space counter is available from the table_comment column of information_schema.tables. Here is some SQL to identify tables with at least 100M (actually 97.65M) of free space:
    SELECT table_schema, table_name, table_comment FROM information_schema.tables WHERE engine LIKE ‘InnoDB’ AND table_comment RLIKE ‘InnoDB free: ([0-9]{6,}).*’;
    Starting with 5.1.21, this was moved to the data_free column (a much more appropriate place):
    SELECT table_schema, table_name, data_free/1024/1024 AS data_free_MB FROM information_schema.tables WHERE engine LIKE ‘InnoDB’ AND data_free > 100*1024*1024;
    You can reclaim the lost space by rebuilding the table. The best way to do this is using ‘alter table’ without actually changing anything:
    ALTER TABLE foo ENGINE=InnoDB;
    This is what MySQL does behind the scenes if you run ‘optimize table’ on an InnoDB table. It will result in a read lock, but not a full table lock. How long it takes is completely dependent on the amount of data in the table (but not the size of the data file). If you have a table with a high volume of deletes or updates, you may want to run this monthly, or even weekly.
    所以先进行分析,语句如下
    SELECT table_schema, table_name, data_free/1024/1024 AS data_free_MB FROM information_schema.tables WHERE engine LIKE ‘InnoDB’ AND data_free > 100*1024*1024;
    返回了两个数据,正是那两张表得data_free大于100M,所以ALTER TABLE tablename ENGINE=InnoDB;
    相当于重建表引擎了。再执行速度正常了。
    这里要提下如果一个表的表数据大小和索引大小与实际的表数据不符也需要清理下表碎片
    回复

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