mysqldumpslow 慢日志信息提取工具

快来打我* 2022-02-04 08:49 274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