windows下mysql5.6.20使用mysqldumpslow.pl分析慢日志_MySQL

就是ActivePerl_5.16.2.3010812913.msi，一步一步安装后，将bin加入环境变量path。

现在假设一个场景：现场的slow.log拿回来了，要在本地的windows环境上的mysql上分析，如何处理？

C:\Program Files\MySQL\MySQL Server 5.6\bin>perl mysqldumpslow.pl --help
Usage: mysqldumpslow [ OPTS... ] [ LOGS... ]
Parse and summarize the MySQL slow query log. Options are
--verbose verbose
--debug debug
--help write this text to standard output


-v verbose
-d debug
-s ORDER what to sort by (al, at, ar, c, l, r, t), 'at' is default
al: average lock time
ar: average rows sent
at: average query time
c: count
l: lock time
r: rows sent
t: query time
-r reverse the sort order (largest last instead of first)
-t NUM just show the top n queries
-a don't abstract all numbers to N and strings to 'S'
-n NUM abstract numbers with at least n digits within names
-g PATTERN grep: only consider stmts that include this string
-h HOSTNAME hostname of db server for *-slow.log filename (can be wildcard),
default is '*', i.e. match all
-i NAME name of server instance (if using mysql.server startup script)
-l don't subtract lock time from total time

1. -s,排序，c,t,l,r以及ac,at,al,ar分别是按照query次数，时间，lock时间，返回记录排序。加a就是倒序。
2. -t,top n，跟上数字就是算出top多少条
3. -g，跟正则表达式。

C:\Program Files\MySQL\MySQL Server 5.6\bin> mysqldumpslow.pl -r -s c -a -t > E:\slow.txt

如果执行这个会报错，就按照报错信息来，在my.ini中添加一些参数即可。分析的结果在slow.txt中,如下：

Count: 23 Time=505.55s (11627s) Lock=0.00s (0s) Rows=30740.8 (707039), username[password]@[10.194.172.41]
SELECT DISTINCT u.name,o.full_name FROM pub_user u,pub_user_org uo,pub_org o WHERE u.user_id=uo.user_id
AND uo.org_id=o.org_id and u.del_flag=N and uo.del_flag=N
and u.account not like 'S' and u.account not like 'S' group by u.user_id

Count: 4 Time=375.01s (1500s) Lock=0.00s (0s) Rows=10200.3 (40801), username[password]@[10.194.172.41]
select distinct username,pu.name, po.full_name from pub_login_history as plh
inner join pub_user as pu on plh.username=pu.user_id
inner join pub_user_org as puo on pu.user_id=puo.user_id
inner join pub_org as po on puo.org_id=po.org_id
where TIMESTAMPDIFF(MINUTE,login_time,logout_time)>=N
and login_time>'S' and login_time<'S'

Count: 4（执行了多少次） Time=375.01s（每次执行的时间） (1500s)（一共执行了多少时间） Lock=0.00s (0s)（等待锁的时间） Rows=10200.3（每次返回的记录数） (40801)（总共返回的记录数）, username[password]@[10.194.172.41]