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使用Anemometer分析MySQL慢查询记录

2024-12-15 2 0条评论

数据库管理员一般是用percona的toolkit工具来分析MySQL慢查询记录,但是不够直观。

下面介绍一款比较直观的工具来统计分析MySQL慢查询记录anemometer。

在使用之前需要安装percona的toolkit工具,anemometer提供web界面。

 

1. 安装

1 2 3 # cd /data/www/my.trustauth.cn # git clone https://github.com/box/Anemometer.git anemometer # cd anemometer

2. 创建表和用户名

1 2 3 mysql < install . sql mysql e “grant ALL ON slow_query_log.* to ‘anemometer’@’trustauth.cn’ IDENTIFIED BY ‘my.trustauth.cn’;” mysql e “grant SELECT ON *.* to ‘anemometer’@’trustauth.cn’ IDENTIFIED BY ‘my.trustauth.cn’;”

3. 分析MySQL慢日志

1 2 3 4 # pt-query-digest –user=anemometer –password=superSecurePass \                    review D = slow_query_log , t = global_query _review \                    review history D = slow_query_log , t = global_query_review _history \                    no report limit = 0 % filter = ” \$event->{Bytes} = length(\$event->{arg}) and \$event->{hostname}=\”$HOSTNAME\””    / data / log / mysql / slow .log

4. 配置anemometer

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 # cp conf/sample.config.inc.php conf/config.inc.php # vi conf/config.inc.php $conf [ ‘datasources’ ] [ ‘trustauth.cn’ ] = array (          ‘host’    = > ‘trustauth.cn’ ,          ‘port’    = > 3306 ,          ‘db’      = > ‘slow_query_log’ ,          ‘user’    = > ‘anemometer’ ,          ‘password’ = > ‘my.trustauth.cn’ ,          ‘tables’ = > array (                  ‘global_query_review’ = > ‘fact’ ,                  ‘global_query_review_history’ = > ‘dimension’          ) ,          ‘source_type’ = > ‘slow_query_log’ ) ; $conf [ ‘plugins’ ] = array ( ‘visual_explain’ = > ‘/usr/bin/pt-visual-explain’ , ‘query_advisor’ = > ‘/usr/bin/pt-query-advisor’ , #… other lines $conn [ ‘user’ ] = ‘anemometer’ ; $conn [ ‘password’ ] = ‘my.trustauth.cn’ ; return $conn ; } ,

5. 自动化处理

1 2 3 4 5 6 7 # vi /etc/logrotate.d/mysql postrotate pt query digest user = anemometer password = superSecurePass \                    review D = slow_query_log , t = global_query _review \                    review history D = slow_query_log , t = global_query_review _history \                    no report limit = 0 % filter = ” \$event->{Bytes} = length(\$event->{arg}) and \$event->{hostname}=\”$HOSTNAME\”” / data / log / mysql / slow .log . 1 endscript

 

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本文作者:亿网 网址:https://edns.com/ask/post/163183.html 发布于 2024-12-15
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