mysqldumpslow 慢日志信息提取工具
mysqldumpslow解析慢日志，并按照指定的规则对慢SQL进行汇总，先看看有什么参数：
[root@slave bin]# mysqldumpslow --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
语法：
mysqldumpslow [options] [log_file ...]
参数解析
--verbose,-v 输出详细信息
--debug,-d 输出debug信息
-s 指定输出的排序规则，有如下几种:
• t, at: 按照查询时间/平均查询时间排序
• l, al: 按照锁等待时间/平均锁等待时间排序
• r, ar: 按照返回行数/平均返回行数排序
• c: 按照慢SQL出现次数排序
-r 输出结果反序排序，默认是desc的顺序
-t NUM 指定显示多少条慢SQL
-a 不将数字抽象成N、字符抽象成S
-n NUM 将超过N个数字的数值字符抽象显示
-g PATTERN 正则匹配慢SQL
-l total time包含lock time
输出样例：
--按照平均执行时间排序，查出排名前10条SQL
[root@master data]# mysqldumpslow -s at -t 10 master-slow.log
Reading mysql slow query log from master-slow.log
Count: 1 Time=0.35s (0s) Lock=0.02s (0s) Rows=1.0 (1), root[root]@localhost
select count(*) from test
Count: 1 Time=0.06s (0s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost
drop table test1
Count: 1 Time=0.04s (0s) Lock=0.00s (0s) Rows=1.0 (1), root[root]@localhost
desc select distinct id from tab order by col1 limit N,N
Count: 1 Time=0.02s (0s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost
create table test1(id int not null primary key,col1 int,col2 int)
Count: 1 Time=0.01s (0s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost
delete from test1 where id=N
Count: 4 Time=0.01s (0s) Lock=0.00s (0s) Rows=2.0 (8), root[root]@localhost
show variables like 'S'
Count: 1 Time=0.01s (0s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost
replace into test1 values (N,N,N)
Count: 1 Time=0.01s (0s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost
update tab set col1=N where id=N
Count: 2 Time=0.01s (0s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost
insert into test1 values (null,N,N),(null,N,N),(null,N,N)
Count: 2 Time=0.00s (0s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost
insert into test1 values (null,N,N) on duplicate key update col2=col2+N