• mysql slow 分析工具


    慢查询有什么用?   
          它能记录下所有执行超过long_query_time时间的SQL语句,帮你找到执行慢的SQL,方便我们对这些SQL进行优化。   

    测试用 MySQL 版本。   
    Server version: 5.6.10-log Source distribution   

    未做任何慢日志设置时。   

    mysql> show variables like "%query%";     
    +------------------------------+--------------------------------------+ 
    | Variable_name                | Value                                | 
    +------------------------------+--------------------------------------+ 
    | binlog_rows_query_log_events | OFF                                  |  
    | ft_query_expansion_limit     | 20                                   |  
    | have_query_cache             | YES                                  |  
    | long_query_time              | 10.000000                            |  
    | query_alloc_block_size       | 8192                                 |  
    | query_cache_limit            | 1048576                              |  
    | query_cache_min_res_unit     | 4096                                 |  
    | query_cache_size             | 1048576                              |  
    | query_cache_type             | OFF                                  |  
    | query_cache_wlock_invalidate | OFF                                  |  
    | query_prealloc_size          | 8192                                 |  
    | slow_query_log               | OFF                                  |  
    | slow_query_log_file          | /usr/local/mysql/data/Betty-slow.log |  
    +------------------------------+--------------------------------------+ 
    13 rows in set (0.01 sec) 
    
    mysql>

    修改配置文件,开启 slow log 。  

    [root@Betty data]# vi /etc/my.cnf            
    
    # For advice on how to change settings please see 
    # http://dev.mysql.com/doc/refman/5.6/en/server-configuration-defaults.html 
    # *** DO NOT EDIT THIS FILE. It's a template which will be copied to the 
    # *** default location during install, and will be replaced if you 
    # *** upgrade to a newer version of MySQL. 
    
    [mysqld] 
    
    # Remove leading # and set to the amount of RAM for the most important data 
    # cache in MySQL. Start at 70% of total RAM for dedicated server, else 10%. 
    # innodb_buffer_pool_size = 128M 
    
    # Remove leading # to turn on a very important data integrity option: logging 
    # changes to the binary log between backups. 
    log_bin=mysql-bin 
    
    slow_query_log=on 
    slow_query_log_file=mysql-slow 
    long_query_time=2 
    
    # These are commonly set, remove the # and set as required. 
    # basedir = ..... 
    # datadir = ..... 
    # port = ..... 
    # server_id = ..... 
    # socket = ..... 
    
    # Remove leading # to set options mainly useful for reporting servers. 
    # The server defaults are faster for transactions and fast SELECTs. 
    # Adjust sizes as needed, experiment to find the optimal values. 
    # join_buffer_size = 128M 
    # sort_buffer_size = 2M 
    # read_rnd_buffer_size = 2M  
    
    sql_mode=NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES 
    
    [mysql] 
    socket = /tmp/mysql.sock

    重启 MySQL 。  

    [root@Betty data]# /etc/init.d/mysql restart 
    Shutting down MySQL..                                      [  OK  ] 
    Starting MySQL.                                            [  OK  ] 
    [root@Betty data]#

    查看 slow log 。  

    [root@Betty data]# ll mysql-slow  
    -rw-rw---- 1 mysql mysql 719 Sep  6 12:43 mysql-slow

    重新查看系统变量值。  

    mysql>  
    mysql> show variables like "%query%"; 
    +------------------------------+------------+ 
    | Variable_name                | Value      | 
    +------------------------------+------------+ 
    | binlog_rows_query_log_events | OFF        |  
    | ft_query_expansion_limit     | 20         |  
    | have_query_cache             | YES        |  
    | long_query_time              | 2.000000   |  
    | query_alloc_block_size       | 8192       |  
    | query_cache_limit            | 1048576    |  
    | query_cache_min_res_unit     | 4096       |  
    | query_cache_size             | 1048576    |  
    | query_cache_type             | OFF        |  
    | query_cache_wlock_invalidate | OFF        |  
    | query_prealloc_size          | 8192       |  
    | slow_query_log               | ON         |  
    | slow_query_log_file          | mysql-slow |  
    +------------------------------+------------+ 
    13 rows in set (0.00 sec) 
    
    mysql>

    查看新生成的 slow log 的内容。  

    [root@Betty data]# cat mysql-slow  
    /usr/local/mysql/bin/mysqld, Version: 5.6.10-log (Source distribution). started with: 
    Tcp port: 0  Unix socket: (null) 
    Time                 Id Command    Argument 
    [root@Betty data]#

    测试 slow log 。

    mysql>  
    mysql> select 1; 
    +---+ 
    | 1 | 
    +---+ 
    | 1 |  
    +---+ 
    1 row in set (0.00 sec) 
    
    mysql>  
    mysql> select sleep(1); 
    +----------+ 
    | sleep(1) | 
    +----------+ 
    |        0 |  
    +----------+ 
    1 row in set (1.00 sec) 
    
    mysql>  
    mysql>  
    mysql> select sleep(3);  
    +----------+ 
    | sleep(3) | 
    +----------+ 
    |        0 |  
    +----------+ 
    1 row in set (3.00 sec) 
    
    mysql>  
    mysql> select sleep(4);  
    +----------+ 
    | sleep(4) | 
    +----------+ 
    |        0 |  
    +----------+ 
    1 row in set (4.01 sec) 
    
    mysql>  
    mysql>  
    mysql> select sleep(5);  
    +----------+ 
    | sleep(5) | 
    +----------+ 
    |        0 |  
    +----------+ 
    1 row in set (5.00 sec) 
    
    mysql> select sleep(2);  
    +----------+ 
    | sleep(2) | 
    +----------+ 
    |        0 |  
    +----------+ 
    1 row in set (2.01 sec) 
    
    mysql>  
    mysql> select sleep(1);  
    +----------+ 
    | sleep(1) | 
    +----------+ 
    |        0 |  
    +----------+ 
    1 row in set (1.00 sec) 
    
    mysql> select 2;        
    +---+ 
    | 2 | 
    +---+ 
    | 2 |  
    +---+ 
    1 row in set (0.00 sec) 
    
    mysql>

    查看此时 slow log 的内容。  

    [root@Betty data]# cat mysql-slow  
    /usr/local/mysql/bin/mysqld, Version: 5.6.10-log (Source distribution). started with: 
    Tcp port: 0  Unix socket: (null) 
    Time                 Id Command    Argument 
    # Time: 130906 12:52:51 
    # User@Host: root[root] @ localhost []  Id:     1 
    # Query_time: 3.002864  Lock_time: 0.000000 Rows_sent: 1  Rows_examined: 0 
    SET timestamp=1378443171; 
    select sleep(3); 
    # Time: 130906 12:53:01 
    # User@Host: root[root] @ localhost []  Id:     1 
    # Query_time: 4.001943  Lock_time: 0.000000 Rows_sent: 1  Rows_examined: 0 
    SET timestamp=1378443181; 
    select sleep(4); 
    # Time: 130906 12:53:09 
    # User@Host: root[root] @ localhost []  Id:     1 
    # Query_time: 5.002093  Lock_time: 0.000000 Rows_sent: 1  Rows_examined: 0 
    SET timestamp=1378443189; 
    select sleep(5); 
    # Time: 130906 12:53:15 
    # User@Host: root[root] @ localhost []  Id:     1 
    # Query_time: 2.002984  Lock_time: 0.000000 Rows_sent: 1  Rows_examined: 0 
    SET timestamp=1378443195; 
    select sleep(2); 
    [root@Betty data]#


    实验:  

    a. 使用 mysql 自带慢查询日志分析工具 mysqldumpslow 。  

    [root@Betty data]# mysqldumpslow mysql-slow  
    
    Reading mysql slow query log from mysql-slow 
    Count: 4  Time=3.50s (14s)  Lock=0.00s (0s)  Rows=1.0 (4), root[root]@localhost 
      select sleep(N) 
    
    [root@Betty data]#


    b. 使用 hackmysql.com 推出的一款日志分析工具 mysqlsla 。  

    [root@Betty data]# mysqlsla -lt slow mysql-slow  
    Report for slow logs: mysql-slow 
    4 queries total, 1 unique 
    Sorted by 't_sum' 
    Grand Totals: Time 14 s, Lock 0 s, Rows sent 4, Rows Examined 0 
    
    ______________________________________________________________________ 001 ___ 
    Count         : 4  (100.00%) 
    Time          : 14.009884 s total, 3.502471 s avg, 2.002984 s to 5.002093 s max  (100.00%) 
    Lock Time (s) : 0 total, 0 avg, 0 to 0 max  (0.00%) 
    Rows sent     : 1 avg, 1 to 1 max  (100.00%) 
    Rows examined : 0 avg, 0 to 0 max  (0.00%) 
    Database      :  
    Users         :  
            root@localhost  : 100.00% (4) of query, 100.00% (4) of all users 
    
    Query abstract: 
    SET timestamp=N; SELECT sleep(N); 
    
    Query sample: 
    SET timestamp=1378443171; 
    select sleep(3); 
    [root@Betty data]#


    c. 使用德国人写的 mysql_explain_slow_log 。(不知道为什么未统计出信息)  

    [root@Betty WGET_DIR]# ./mysql_explain_slow_log --user=root --password= --socket=/tmp/mysql.sock < /usr/local/mysql/data/mysql-slow      
    mysql_explain_slow_log 
    ====================== 
    
    Index usage ------------------------------------ 
    
    Queries causing table scans ------------------- 
    
    Sum: 0 table scans 
    
    Summary --------------------------------------- 
    
    Select:         0 queries 
    Update:         0 queries 
    Load:   0 queries 
    
    Logfile:        26 lines 
    Started:        Fri Sep  6 15:59:13 2013 
    Finished:       Fri Sep  6 15:59:13 2013 
    [root@Betty WGET_DIR]#


    d.    google code 上的一个分析工具 mysql_filter_slow_log (最后更新日期为2007年),提供了 python 和 php 两种可执行的脚本。   

    [root@Betty WGET_DIR]# python mysql_filter_slow_log.py /usr/local/mysql/data/mysql-slow --no-duplicates --sort-execution-count --top=10
    # Execution count: 1 time on 2013-09-06 16:07:23.
    # Column       : avg | max | sum
    # Query time   :   5 |   5 |   5
    # Lock time    :   0 |   0 |   0
    # Rows examined:   0 |   0 |   0
    # Rows sent    :   1 |   1 |   1
    # User@Host: root[root] @ localhost []  Id:     1
    
    SET timestamp=1378454843;select sleep(5);
    
    # Execution count: 1 time on 2013-09-06 16:07:15.
    # Column       : avg | max | sum
    # Query time   :   4 |   4 |   4
    # Lock time    :   0 |   0 |   0
    # Rows examined:   0 |   0 |   0
    # Rows sent    :   1 |   1 |   1
    # User@Host: root[root] @ localhost []  Id:     1
    
    SET timestamp=1378454835;select sleep(4);
    
    # Execution count: 1 time on 2013-09-06 16:07:01.
    # Column       : avg | max | sum
    # Query time   :   3 |   3 |   3
    # Lock time    :   0 |   0 |   0
    # Rows examined:   0 |   0 |   0
    # Rows sent    :   1 |   1 |   1
    # User@Host: root[root] @ localhost []  Id:     1
    
    SET timestamp=1378454821;select sleep(3);
    
    # Execution count: 1 time on 2013-09-06 16:07:28.
    # Column       : avg | max | sum
    # Query time   :   2 |   2 |   2
    # Lock time    :   0 |   0 |   0
    # Rows examined:   0 |   0 |   0
    # Rows sent    :   1 |   1 |   1
    # User@Host: root[root] @ localhost []  Id:     1
    
    SET timestamp=1378454848;select sleep(2);
    
    [root@Betty WGET_DIR]#


    e. 使用 percona-toolkit 中的 pt-query-digest (在《高性能MySQL》中多次提出,值得使用的工具)。   

    [root@Betty data]# pt-query-digest --user=root  mysql-slow              
    
    # 120ms user time, 10ms system time, 20.21M rss, 68.70M vsz
    # Current date: Mon Sep  9 13:21:38 2013
    # Hostname: Betty
    # Files: mysql-slow
    # Overall: 4 total, 1 unique, 0.15 QPS, 0.52x concurrency ________________
    # Time range: 2013-09-06 16:07:01 to 16:07:28
    # Attribute          total     min     max     avg     95%  stddev  median
    # ============     ======= ======= ======= ======= ======= ======= =======
    # Exec time            14s      2s      5s      4s      5s      1s      4s
    # Lock time              0       0       0       0       0       0       0
    # Rows sent              4       1       1       1       1       0       1
    # Rows examine           0       0       0       0       0       0       0
    # Query size            60      15      15      15      15       0      15
    
    # Profile
    # Rank Query ID           Response time  Calls R/Call V/M   Item
    # ==== ================== ============== ===== ====== ===== ======
    #    1 0xF9A57DD5A41825CA 14.0097 100.0%     4 3.5024  0.36 SELECT
    
    # Query 1: 0.15 QPS, 0.52x concurrency, ID 0xF9A57DD5A41825CA at byte 548
    # This item is included in the report because it matches --limit.
    # Scores: V/M = 0.36
    # Time range: 2013-09-06 16:07:01 to 16:07:28
    # Attribute    pct   total     min     max     avg     95%  stddev  median
    # ============ === ======= ======= ======= ======= ======= ======= =======
    # Count        100       4
    # Exec time    100     14s      2s      5s      4s      5s      1s      4s
    # Lock time      0       0       0       0       0       0       0       0
    # Rows sent    100       4       1       1       1       1       0       1
    # Rows examine   0       0       0       0       0       0       0       0
    # Query size   100      60      15      15      15      15       0      15
    # String:
    # Hosts        localhost
    # Users        root
    # Query_time distribution
    #   1us
    #  10us
    # 100us
    #   1ms
    #  10ms
    # 100ms
    #    1s  ################################################################
    #  10s+
    # EXPLAIN /*!50100 PARTITIONS*/
    select sleep(5)G
    [root@Betty data]#


    慢查询配置项   

    # I.e. you could add the following lines under the [mysqld] section of your my.ini or my.cnf configuration file:
    
    # Log all queries taking more than 3 seconds
    long_query_time=3  # minimum: 1, default: 10
    
    # MySQL >= 5.1.21 (or patched): 3 seconds = 3000000 microseconds
    # long_query_time=3.000000  # minimum: 0.000001 (1 microsecond)
    
    # Activate the Slow Query Log
    slow_query_log  # >= 5.1.29
    # log-slow-queries  # deprecated since 5.1.29
    
    # Write to a custom file name (>= 5.1.29)
    # slow_query_log_file=file_name  # default: /data_dir/host_name-slow.log
    
    # Log all queries without indexes
    # log-queries-not-using-indexes
    
    # Log only queries which examine at least N rows (>= 5.1.21)
    # min_examined_row_limit=1000  # default: 0
    
    # Log slow OPTIMIZE TABLE, ANALYZE TABLE, and ALTER TABLE statements
    # log-slow-admin-statements
    
    # Log slow queries executed by replication slaves (>= 5.1.21)
    # log-slow-slave-statements
    
    # MySQL 5.1.6 through 5.1.20 had a default value of log-output=TABLE, so you should force
    # Attention: logging to TABLE only includes whole seconds information
    log-output=FILE
    
    
    ## Admin query for online activation is possible since MySQL 5.1 (without server restart)
    ## SET @@global.slow_query_log=1
    ## SET @@global.long_query_time=1
    
    
    ## Show current variables related to the Slow Query Log
    ## SHOW GLOBAL VARIABLES WHERE Variable_name REGEXP 'admin|min_examined|log_output|log_queries|log_slave|long|slow_quer'




    ========= 我是分割线 =========    

    下面给出网上一篇流传已久的博客文章,供参考(做了部分修正)。
    参考:《 五款常用mysql slow log分析工具的比较 》,原文写于2008年。       

    mysql slow log 分析工具的比较       

    mysql 中的 slow log 是用来记录执行时间较长(超过 long_query_time 秒)的 sql 的一种日志工具。       

    启用 slow log       
    在 my.cnf 中设置

    [mysqld]
    slow_query_log=on
    slow_query_log_file=mysql-slow

    重启 MySQL 服务。

    五款常用工具       

    1. mysqldumpslow
    2. mysqlsla
    3. myprofi
    4. mysql-explain-slow-log
    5. mysql-log-filter


    mysqldumpslow
          mysql官方提供的慢查询日志分析工具。输出图表如下:       
           
    主要功能包括统计不同慢 sql 的       

    • 出现次数(Count)
    • 执行耗费的平均时间和累计总耗费时间(Time)
    • 等待锁耗费的时间(Lock)
    • 发送给客户端的行总数(Rows)
    • 扫描的行总数(Rows)
    • 用户以及sql语句本身(抽象了一下格式,比如 limit 1, 20 用 limit N,N 表示)


    mysqlsla
          hackmysql.com 推出的一款日志分析工具(该网站还维护了 mysqlreport,mysqlidxchk 等比较实用的mysql 工具)。       
           
          整体来说,功能非常强大。输出的数据报表非常有利于分析慢查询的原因,包括执行频率、数据量、查询消耗等。       

    格式说明如下:       

    • 总查询次数 (queries total),去重后的 sql 数量 (unique)
    • 输出报表的内容排序(sorted by)
    • 最重大的慢 sql 统计信息,包括平均执行时间、等待锁时间、结果行的总数、扫描的行总数。
    • Count -- sql 的执行次数及占总的 slow log 数量的百分比。
    • Time -- 执行时间,包括总时间、平均时间、最小、最大时间、时间占到总慢 sql 时间的百分比。
    • 95% of Time -- 去除最快和最慢的 sql,覆盖率占 95% 的 sql 的执行时间。
    • Lock Time -- 等待锁的时间。
    • 95% of Lock -- 95% 的慢 sql 等待锁时间。
    • Rows sent -- 结果行统计数量,包括平均、最小、最大数量。
    • Rows examined -- 扫描的行数量。
    • Database -- 属于哪个数据库。
    • Users -- 哪个用户、IP、占到所有用户执行的 sql 百分比。
    • Query abstract -- 抽象后的 sql 语句。
    • Query sample -- sql 语句。

    除了以上的输出,官方还提供了很多定制化参数,是一款不可多得的好工具。       


    mysql-explain-slow-log
          德国人写的一个 perl 脚本。       
    http://www.willamowius.de/mysql-tools.html       
    http://www.bt285.cn/content.php?id=1196863       
           

           
    功能上有点瑕疵。不仅把所有的 slow log 打印到屏幕上,而且统计也只有数量而已,不推荐使用。

    mysql-log-filter
          google code 上找到的一个分析工具,提供了 python 和 php 两种可执行的脚本。       
    http://code.google.com/p/mysql-log-filter/ 
               功能上比官方的 mysqldumpslow 多了查询时间的统计信息(平均、最大、累计),其他功能都与 mysqldumpslow 类似。       
          特色功能除了统计信息外,还针对输出内容做了排版和格式化,保证整体输出的简洁。喜欢简洁报表的朋友,推荐使用一下。

    myprofi
          纯 php 写的一个开源分析工具.项目在 sourceforge 上。       
    http://myprofi.sourceforge.net/   ==>  已变为 http://sourceforge.net/projects/myprofi/ 
     
          功能上,列出了总的慢查询次数和类型、去重后的 sql 语句、执行次数及其占总的 slow log 数量的百分比。     
          从整体输出样式来看,比 mysql-log-filter 还要简洁,省去了很多不必要的内容。对于只想看 sql 语句及执行次数的用户来说,比较推荐。       

    总结:   

    工具/功能 一般统计信息 高级统计信息 脚本 优势
    mysqldumpslow 支持 不支持 perl mysql官方自带
    mysqlsla 支持 支持 perl 功能强大,数据报表齐全,定制化能力强
    mysql-explain-slow-log 支持 不支持 perl
    mysql-log-filter 支持 部分支持 python or php 不失功能的前提下,保持输出简洁
    myprofi 支持 不支持 php 非常精简

    原文博客:https://my.oschina.net/moooofly/blog/160201

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  • 原文地址:https://www.cnblogs.com/cyt1153/p/6437913.html
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