mysqldumpslow 慢日志信息提取工具 快来打我* 2022-02-04 08:49 184阅读 0赞 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
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