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innodb_flush_method取值方法(实例讲解)

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MySQL

innodb_flush_method的几个典型取值

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fsync: InnoDB uses the fsync() system call to flush both the data and log files. fsync is the default setting. O_DSYNC: InnoDB uses O_SYNC to open and flush the log files, and fsync() to flush the data files. InnoDB does not use O_DSYNC directly because there have been problems with it on many varieties of Unix. O_DIRECT: InnoDB uses O_DIRECT (or directio() on Solaris) to open the data files, and uses fsync() to flush both the data and log files. This option is available on some GNU/Linux versions,FreeBSD, and Solaris.


如何取值,mysql官方文档是这么建议的

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How each settings affects performance depends on hardware configuration and workload. Benchmarkyour particular configuration to decide which setting to use, or whether to keep the default setting.Examine the Innodb_data_fsyncs status variable to see the overall number of fsync() calls foreach setting. The mix of read and write operations in your workload can affect how a setting performs.For example, on a system with a hardware RAID controller and battery-backed write cache, O_DIRECTcan help to avoid double buffering between the InnoDB buffer pool and the operating system's filesystem cache. On some systems where InnoDB data and log files are located on a SAN, the defaultvalue or O_DSYNC might be faster for a read-heavy workload with mostly SELECT statements. Alwaystest this parameter with hardware and workload that reflect your production environment


也就是说,具体的取值跟硬件配置和工作负载相关,最好做一次压测来决定。不过通常来说,linux环境下具有raid控制器和write-back写策略,o_direct是比较好的选择;如果存储介质是SAN,那么使用默认fsync或者osync或许更好一些。

通常来说,貌似绝大部分人都取值o_direct,底层有raid卡,读写策略设置为write-back。在使用sysbench压测oltp类型时,我发现o_direct确实比fsync性能优秀一些,看来适用于大部分场景,但是最近碰到一个这样的sql,客户反馈很慢,而在相同内存的情况下,它自己搭建的云主机执行相对快很多,后来我发现主要就是innodb_flush_method的设置值不同带来的巨大性能差异。

测试场景1

innodb_flush_method为默认值,即fsync,缓存池512M,表数据量1.2G,排除缓存池影响,稳定后的结果

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mysql> show variables like '%innodb_flush_me%';+---------------------+-------+| Variable_name    | Value |+---------------------+-------+| innodb_flush_method |    |+---------------------+-------+1 row in set (0.00 sec)  mysql> SELECT sql_no_cache SUM(outcome)-SUM(income) FROM journal where account_id = '1c6ab4e7-main';+--------------------------+| SUM(outcome)-SUM(income) |+--------------------------+|        -191010.51 |+--------------------------+1 row in set (1.22 sec)  mysql> SELECT sql_no_cache SUM(outcome)-SUM(income) FROM journal where account_id = '1c6ab4e7-main';+--------------------------+| SUM(outcome)-SUM(income) |+--------------------------+|        -191010.51 |+--------------------------+1 row in set (1.22 sec)mysql> explain SELECT sql_no_cache SUM(outcome)-SUM(income) FROM journal where account_id = '1c6ab4e7-main';+----+-------------+---------+------+---------------+------------+---------+-------+--------+-----------------------+| id | select_type | table  | type | possible_keys | key    | key_len | ref  | rows  | Extra         |+----+-------------+---------+------+---------------+------------+---------+-------+--------+-----------------------+| 1 | SIMPLE   | journal | ref | account_id  | account_id | 62   | const | 161638 | Using index condition |+----+-------------+---------+------+---------------+------------+---------+-------+--------+-----------------------+1 row in set (0.03 sec)


测试场景2

innodb_flush_method改为o_direct,排除缓存池影响,稳定后的结果

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mysql> show variables like '%innodb_flush_me%';+---------------------+----------+| Variable_name    | Value  |+---------------------+----------+| innodb_flush_method | O_DIRECT |+---------------------+----------+1 row in set (0.00 sec)  mysql> SELECT sql_no_cache SUM(outcome)-SUM(income) FROM journal where account_id = '1c6ab4e7-main';+--------------------------+| SUM(outcome)-SUM(income) |+--------------------------+|        -191010.51 |+--------------------------+1 row in set (3.22 sec)  mysql> SELECT sql_no_cache SUM(outcome)-SUM(income) FROM journal where account_id = '1c6ab4e7-main';+--------------------------+| SUM(outcome)-SUM(income) |+--------------------------+|        -191010.51 |+--------------------------+1 row in set (3.02 sec)  mysql> explain SELECT sql_no_cache SUM(outcome)-SUM(income) FROM journal where account_id = '1c6ab4e7-main';+----+-------------+---------+------+---------------+------------+---------+-------+--------+-----------------------+| id | select_type | table  | type | possible_keys | key    | key_len | ref  | rows  | Extra         |+----+-------------+---------+------+---------------+------------+---------+-------+--------+-----------------------+| 1 | SIMPLE   | journal | ref | account_id  | account_id | 62   | const | 161638 | Using index condition |+----+-------------+---------+------+---------------+------------+---------+-------+--------+-----------------------+1 row in set (0.00 sec)


结果比较:

两者执行计划一摸一样,性能却差距很大。在数据库第一次启动时的查询结果也差距很大,o_direct也差很多(测试结果略)。不是很懂为啥这种情况下多了一层操作系统缓存,读取效率就高了很多,生产环境设置一定要以压测结果为准,实际效果为准,不能盲目信任经验值。

改进措施:

不改变innodb_flush_method的情况下,其实这条sql还可以进一步优化,通过添加组合索引(account_id,outcome,income),使得走覆盖索引扫描,可大大地减少响应时间

以上这篇innodb_flush_method取值方法(实例讲解)就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持脚本之家。


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