msyqlsla mysql慢查询日志分析整理

mysqlsla mysql慢查询日志归纳工具

当前mysqlsla的最新版本为2.03，可以下拉到官网下载，地址如下：

http://hackmysql.com/scripts/mysqlsla-2.03.tar.gz

mysqlsla是perl编写的脚本，运行mysqlsla需要perl-DBI和per-DBD-Mysql两模块的支持，因此在运行mysqlsla前需要首先安装DBI模块和相应的数据库DBD驱动，而默认情况下linux不安装这两个模块，需要自行下载安装，下载地址如下：

http://www.cpan.org/modules/by-module/DBI/DBI-1.608.tar.gz

http://www.cpan.org/modules/by-module/DBD/DBD-mysql-4.011.tar.gz

DBI的编译安装步骤如下：

# tar xvfz DBI-1.608.tar.gz

# cd DBI-1.608

# perl Makefile.PL

# make

# make test

# make install

DBD-mysql驱动模块的编译安装步骤如下：

# tar xvfz DBD-mysql-4.011.tar.gz

# cd DBD-mysql-4.011

# perl Makefile.PL

# make

# make install

需要注意，在安装DBD-mysql时需要用到mysql_config，该命令包含在MySQL-devel安装包中，如果当前系统中没有安装该软件，需要首先安装MySQL-devel，否则DBD-mysql在编译过程中会出现错误。

准备工作完全，就可以安装mysqlsla了，编译安装步骤如下：

# tar xvfz mysqlsla-2.03.tar.gz

# cd mysqlsla-2.03

# perl Makefile.PL

# make

# make install

mysqlsla命令默认会保存在/usr/bin路径下，通常可在任意路径下直接执行。对慢查询日志文件的分析，最简化的调用方式如下：

# mysqlsla -lt slow [SlowLogFilePath] > [ResultFilePath]

比如说，原始慢日志中有一堆的下列语句：

# Time: 130605 10:43:18

# User@Host: twitter[twitter] @  [192.10.8.106]

# Query_time: 19.012133  Lock_time: 0.000040 Rows_sent: 1  Rows_examined: 4213235

SET timestamp=1370400198;

select * from twitter_users where 1=1 and nick_name like '%<B3><C2><C0><EF>%' order by user_id desc limit 0, 50;

# Time: 130605 10:43:20

....................

直接阅读的操作体验很不好，使用mysqlsla处理后，结果呈现如下：

Report for slow logs: 0605-slow.log

20 queries total, 6 unique

Sorted by 't_sum'

Grand Totals: Time 383 s, Lock 0 s, Rows sent 369, Rows Examined 105.09M

______________________________________________________________________ 001 ___

Count         : 9  (45.00%)

Time          : 132.918433 s total, 14.768715 s avg, 11.551593 s to 27.165757 s max  (34.74%)

Lock Time (s) : 835 μs total, 93 μs avg, 58 μs to 184 μs max  (51.99%)

Rows sent     : 30 avg, 30 to 30 max  (73.17%)

Rows examined : 5.79M avg, 4.90M to 5.90M max  (49.54%)

Database      :

Users         :

       twitter@ 192.10.8.106 : 88.89% (8) of query, 75.00% (15) of all users

       twitter@ 192.10.8.105 : 11.11% (1) of query, 25.00% (5) of all users

Query abstract:

SET timestamp=N; SELECT u.user_id,u.nick_name,u.home_city_name,u.sex,u.is_validate,u.user_head_middle,u.person_url, us.follower_num, us.focuson_num, us.msg_num, f.sign_time FROM twitter_users u,twitter_followers f, twitter_user_statistics us WHERE u.user_id=f.follower_id AND u.user_id=us.user_id AND u.isclose=N AND f.user_id=N ORDER BY f.sign_time DESC, u.user_id ASC LIMIT N,N;

Query sample:

SET timestamp=1370409152;

SELECT u.user_id,u.nick_name,u.home_city_name,u.sex,u.is_validate,u.user_head_middle,u.person_url,  us.follower_num, us.focuson_num, us.msg_num, f.sign_time  FROM twitter_users u,twitter_followers f, twitter_user_statistics us  WHERE u.user_id=f.follower_id AND u.user_id=us.user_id AND u.isclose=0  and f.user_id=3016 order by f.sign_time desc, u.user_id asc limit 0,30;