• MySql开启慢查询日志并使用pt-query-digest 分析


    慢查询日志会将查询过程中超出你设置的时间的查询记录下来,以便供开发者进行分析和优化。

    1. 开启慢查询

    1.1 查看当前设置

    mysql> show variables like "%query%";

    输出

    +------------------------------+-----------------------------------------+
    | 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             | 16777216                                |
    | query_cache_type             | OFF                                     |
    | query_cache_wlock_invalidate | OFF                                     |
    | query_prealloc_size          | 8192                                    |
    | slow_query_log               | OFF                                     |
    | slow_query_log_file          | /var/lib/mysql/lgj-Lenovo-G470-slow.log |
    +------------------------------+-----------------------------------------+

    三个参数

    • slow_query_log   ON/OFF ,使能开关
    • slow_query_log_file   慢查询日志目录和文件名称
    • long_query_time    超过该时间则进行记录,5.1之前只设置到秒,5.1开始支持毫秒。

    注意,开启慢查询会影响性能,因此应当在某一段时间内开启,记录一段时间后关闭掉。

    1.2 配置

    lgj@lgj-Lenovo-G470:~/db-analysis$ whereis mysql
    mysql: /usr/bin/mysql /usr/lib/mysql /etc/mysql /usr/local/mysql /usr/share/mysql /usr/share/man/man1/mysql.1.gz

    我的配置文件在/etc/mysql目录下的my.cnf

    配置

    [mysqld]
    port=3307
    skip-grant-tables
    !includedir /etc/mysql/conf.d/
    !includedir /etc/mysql/mysql.conf.d/
    
    #打开慢查询 slow_query_log
    = ON
    #设置超时时间为0,也就是记录所有的查询 long_query_time
    = 0

    设置完后保存,重新启动mysql

    service mysql  restart

    重新查看参数,已经更改。

    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              | 0.000000                                |
    | query_alloc_block_size       | 8192                                    |
    | query_cache_limit            | 1048576                                 |
    | query_cache_min_res_unit     | 4096                                    |
    | query_cache_size             | 16777216                                |
    | query_cache_type             | OFF                                     |
    | query_cache_wlock_invalidate | OFF                                     |
    | query_prealloc_size          | 8192                                    |
    | slow_query_log               | ON                                      |
    | slow_query_log_file          | /var/lib/mysql/lgj-Lenovo-G470-slow.log |
    +------------------------------+-----------------------------------------+

    1.3 查询

     随便执行一条查询语句,然后查看慢查询日志。

    /usr/sbin/mysqld, Version: 5.7.25-0ubuntu0.18.04.2 ((Ubuntu)). started with:
    Tcp port: 3306  Unix socket: /var/run/mysqld/mysqld.sock
    Time                 Id Command    Argument
    /usr/sbin/mysqld, Version: 5.7.25-0ubuntu0.18.04.2-log ((Ubuntu)). started with:
    Tcp port: 3306  Unix socket: /var/run/mysqld/mysqld.sock
    Time                 Id Command    Argument
    /usr/sbin/mysqld, Version: 5.7.25-0ubuntu0.18.04.2-log ((Ubuntu)). started with:
    Tcp port: 3306  Unix socket: /var/run/mysqld/mysqld.sock
    Time                 Id Command    Argument
    ;
    # Time: 2019-02-27T14:07:42.841770Z
    # User@Host: skip-grants user[lgj] @ localhost []  Id:     2
    # Query_time: 0.016232  Lock_time: 0.000000 Rows_sent: 0  Rows_examined: 0
    SET timestamp=1551276462;
    ;
    # Time: 2019-02-27T14:07:51.774192Z
    # User@Host: skip-grants user[lgj] @ localhost []  Id:     2
    # Query_time: 0.000485  Lock_time: 0.000221 Rows_sent: 1  Rows_examined: 1
    SET timestamp=1551276471;
    select * from user;
    # Time: 2019-02-27T14:07:55.839223Z
    # User@Host: skip-grants user[lgj] @ localhost []  Id:     2
    # Query_time: 0.000564  Lock_time: 0.000259 Rows_sent: 1  Rows_examined: 1
    SET timestamp=1551276475;
    # 查询语句 select
    * from user;
    # 记录时间 # Time:
    2019-02-27T14:08:07.404666Z # User@Host: skip-grants user[lgj] @ localhost [] Id: 2
    #查询时间 锁表时间 # Query_time: 0.006318 Lock_time: 0.000435 Rows_sent: 13 Rows_examined: 1026 SET timestamp=1551276487;

    从上面可以获知查询时间和锁表时间,但是如果文件比较大,查找时间最长的查询将会非常麻烦,需要使用相关的工具来进行分析。

    《高性能mysql》推荐使用 qt-query-digest 工具

    2. qt-query-digest的使用

    2.1 安装

    •   创建目录: mkdir db-analysis && cd db-analysis
    •  下载 pt-query-digest: curl -LO https://percona.com/get/pt-query-digest
    •   设置执行权限:chmod +x pt-query-digest
    •   将慢查询日志的文件复制到当前的目录下
    •   执行分析:  ./pt-query-digest lgj-Lenovo-G470-slow.log

    结果

    # 220ms user time, 10ms system time, 33.67M rss, 90.27M vsz
    # Current date: Wed Feb 27 22:55:05 2019
    # Hostname: lgj-Lenovo-G470
    # Files: lgj-Lenovo-G470-slow.log
    # Overall: 9 total, 7 unique, 0.24 QPS, 0.00x concurrency ________________
    # Time range: 2019-02-27T14:07:29 to 2019-02-27T14:08:07
    # Attribute          total     min     max     avg     95%  stddev  median
    # ============     ======= ======= ======= ======= ======= ======= =======
    # Exec time          185ms   225us   122ms    21ms   122ms    37ms     6ms
    # Lock time            2ms       0   485us   186us   467us   166us   159us
    # Rows sent             50       0      13    5.56   12.54    5.25    0.99
    # Rows examine       2.03k       0   1.00k  230.44 1012.63  419.72    0.99
    # Query size           198      11      32      22   31.70    7.35   17.65
    
    # Profile
    # Rank Query ID                          Response time Calls R/Call V/M   
    # ==== ================================= ============= ===== ====== ===== 
    #    1 0x751417D45B8E80EE5CBA2034458B...  0.1223 66.1%     1 0.1223  0.00 SHOW DATABASES
    #    2 0xA11944C87A6A5C16FB38455BF703...  0.0320 17.3%     1 0.0320  0.00 SELECT
    #    3 0x898255B1BE4F8C3044AE35A18286...  0.0155  8.4%     1 0.0155  0.00 ADMIN INIT DB
    #    4 0xE77769C62EF669AA7DD5F6760F2D...  0.0134  7.3%     2 0.0067  0.00 SHOW VARIABLES
    # MISC 0xMISC                             0.0018  1.0%     4 0.0004   0.0 <3 ITEMS>
    
    # Query 1: 0 QPS, 0x concurrency, ID 0x751417D45B8E80EE5CBA2034458B5BC9 at byte 1471
    # This item is included in the report because it matches --limit.
    # Scores: V/M = 0.00
    # Time range: all events occurred at 2019-02-27T14:07:42
    # Attribute    pct   total     min     max     avg     95%  stddev  median
    # ============ === ======= ======= ======= ======= ======= ======= =======
    # Count         11       1
    # Exec time     66   122ms   122ms   122ms   122ms   122ms       0   122ms
    # Lock time      6   110us   110us   110us   110us   110us       0   110us
    # Rows sent     20      10      10      10      10      10       0      10
    # Rows examine   0      10      10      10      10      10       0      10
    # Query size     7      14      14      14      14      14       0      14
    # String:
    # Databases    microblog
    # Hosts        localhost
    # Users        skip-grants user
    # Query_time distribution
    #   1us
    #  10us
    # 100us
    #   1ms
    #  10ms
    # 100ms  ################################################################
    #    1s
    #  10s+
    show databasesG
    
    # Query 2: 0 QPS, 0x concurrency, ID 0xA11944C87A6A5C16FB38455BF7035609 at byte 1008
    # This item is included in the report because it matches --limit.
    # Scores: V/M = 0.00
    # Time range: all events occurred at 2019-02-27T14:07:42
    # Attribute    pct   total     min     max     avg     95%  stddev  median
    # ============ === ======= ======= ======= ======= ======= ======= =======
    # Count         11       1
    # Exec time     17    32ms    32ms    32ms    32ms    32ms       0    32ms
    # Lock time      0       0       0       0       0       0       0       0
    # Rows sent      2       1       1       1       1       1       0       1
    # Rows examine   0       0       0       0       0       0       0       0
    # Query size     8      17      17      17      17      17       0      17
    # String:
    # Hosts        localhost
    # Users        skip-grants user
    # Query_time distribution
    #   1us
    #  10us
    # 100us
    #   1ms
    #  10ms  ################################################################
    # 100ms
    #    1s
    #  10s+
    # EXPLAIN /*!50100 PARTITIONS*/
    SELECT DATABASE()G
    
    # Query 3: 0 QPS, 0x concurrency, ID 0x898255B1BE4F8C3044AE35A182869033 at byte 1225
    # This item is included in the report because it matches --limit.
    # Scores: V/M = 0.00
    # Time range: all events occurred at 2019-02-27T14:07:42
    # Attribute    pct   total     min     max     avg     95%  stddev  median
    # ============ === ======= ======= ======= ======= ======= ======= =======
    # Count         11       1
    # Exec time      8    15ms    15ms    15ms    15ms    15ms       0    15ms
    # Lock time      0       0       0       0       0       0       0       0
    # Rows sent      0       0       0       0       0       0       0       0
    # Rows examine   0       0       0       0       0       0       0       0
    # Query size    15      30      30      30      30      30       0      30
    # String:
    # Databases    microblog
    # Hosts        localhost
    # Users        skip-grants user
    # Query_time distribution
    #   1us
    #  10us
    # 100us
    #   1ms
    #  10ms  ################################################################
    # 100ms
    #    1s
    #  10s+
    administrator command: Init DBG
    
    # Query 4: 0.05 QPS, 0.00x concurrency, ID 0xE77769C62EF669AA7DD5F6760F2D2EBB at byte 775
    # This item is included in the report because it matches --limit.
    # Scores: V/M = 0.00
    # Time range: 2019-02-27T14:07:30 to 2019-02-27T14:08:07
    # Attribute    pct   total     min     max     avg     95%  stddev  median
    # ============ === ======= ======= ======= ======= ======= ======= =======
    # Count         22       2
    # Exec time      7    13ms     6ms     7ms     7ms     7ms   559us     7ms
    # Lock time     54   920us   435us   485us   460us   485us    35us   460us
    # Rows sent     52      26      13      13      13      13       0      13
    # Rows examine  98   2.00k   1.00k   1.00k   1.00k   1.00k       0   1.00k
    # Query size    29      58      29      29      29      29       0      29
    # String:
    # Databases    microblog
    # Hosts        localhost
    # Users        skip-grants user
    # Query_time distribution
    #   1us
    #  10us
    # 100us
    #   1ms  ################################################################
    #  10ms
    # 100ms
    #    1s
    #  10s+
    show variables like "%query%"G
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  • 原文地址:https://www.cnblogs.com/lgjlife/p/10447675.html
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