MySQL 慢查询日志分析及可视化结果

MySQL 慢查询日志分析

pt-query-digest分析慢查询日志

pt-query-digest --report slow.log

报告最近半个小时的慢查询：

pt-query-digest --report --since 1800s slow.log

报告一个时间段的慢查询：

pt-query-digest --report --since '2013-02-10 21:48:59' --until '2013-02-16 02:33:50' slow.log

报告只含select语句的慢查询:

pt-query-digest --filter '$event->{fingerprint} =~ m/^select/i' slow.log

报告针对某个用户的慢查询:

pt-query-digest --filter '($event->{user} || "") =~ m/^root/i' slow.log

报告所有的全表扫描或full join的慢查询:

pt-query-digest --filter '(($event->{Full_scan} || "") eq "yes") || (($event->{Full_join} || "") eq "yes")' slow.log

把查询保存到query_review表

pt-query-digest --user=root –password=abc123 --review h=localhost,D=test,t=query_review--create-review-table slow.log

把查询保存到query_history表

pt-query-digest --user=root –password=abc123 --review h=localhost,D=test,t=query_ history--create-review-table slow.log_20140401

pt-query-digest --user=root –password=abc123--review h=localhost,D=test,t=query_history--create-review-table slow.log_20140402

通过tcpdump抓取mysql的tcp协议数据，然后再分析

tcpdump -s 65535 -x -nn -q -tttt -i any -c 1000 port 3306 > mysql.tcp.txt

pt-query-digest --type tcpdump mysql.tcp.txt> slow_report9.log

分析binlog

mysqlbinlog mysql-bin.000093 > mysql-bin000093.sql

pt-query-digest --type=binlog mysql-bin000093.sql > slow_report10.log

分析general log

pt-query-digest --type=genlog localhost.log > slow_report11.log

更多filter的事件属性

将慢查询日志的分析结果可视化

使用pt-query-digest分析慢查询日志并将查询分析数据保存到MySQL数据库表中.然后使用Query-Digest-UI来展示分析结果.

由于Query-Digest-UI是基于PHP的Web应用程序,因此需要LAMP环境的支持.

查询分析结果可视化步骤如下:

创建相关数据库表

-- install.sql
-- Create the database needed for the Query-Digest-UI
DROP DATABASE IF EXISTS slow_query_log;
CREATE DATABASE slow_query_log;
USE slow_query_log;

-- Create the global query review table
CREATE TABLE `global_query_review` (
  `checksum` bigint(20) unsigned NOT NULL,
  `fingerprint` text NOT NULL,
  `sample` longtext NOT NULL,
  `first_seen` datetime DEFAULT NULL,
  `last_seen` datetime DEFAULT NULL,
  `reviewed_by` varchar(20) DEFAULT NULL,
  `reviewed_on` datetime DEFAULT NULL,
  `comments` text,
  `reviewed_status` varchar(24) DEFAULT NULL,
  PRIMARY KEY (`checksum`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- Create the historical query review table
CREATE TABLE `global_query_review_history` (
  `hostname_max` varchar(64) NOT NULL,
  `db_max` varchar(64) DEFAULT NULL,
  `checksum` bigint(20) unsigned NOT NULL,
  `sample` longtext NOT NULL,
  `ts_min` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
  `ts_max` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
  `ts_cnt` float DEFAULT NULL,
  `Query_time_sum` float DEFAULT NULL,
  `Query_time_min` float DEFAULT NULL,
  `Query_time_max` float DEFAULT NULL,
  `Query_time_pct_95` float DEFAULT NULL,
  `Query_time_stddev` float DEFAULT NULL,
  `Query_time_median` float DEFAULT NULL,
  `Lock_time_sum` float DEFAULT NULL,
  `Lock_time_min` float DEFAULT NULL,
  `Lock_time_max` float DEFAULT NULL,
  `Lock_time_pct_95` float DEFAULT NULL,
  `Lock_time_stddev` float DEFAULT NULL,
  `Lock_time_median` float DEFAULT NULL,
  `Rows_sent_sum` float DEFAULT NULL,
  `Rows_sent_min` float DEFAULT NULL,
  `Rows_sent_max` float DEFAULT NULL,
  `Rows_sent_pct_95` float DEFAULT NULL,
  `Rows_sent_stddev` float DEFAULT NULL,
  `Rows_sent_median` float DEFAULT NULL,
  `Rows_examined_sum` float DEFAULT NULL,
  `Rows_examined_min` float DEFAULT NULL,
  `Rows_examined_max` float DEFAULT NULL,
  `Rows_examined_pct_95` float DEFAULT NULL,
  `Rows_examined_stddev` float DEFAULT NULL,
  `Rows_examined_median` float DEFAULT NULL,
  `Rows_affected_sum` float DEFAULT NULL,
  `Rows_affected_min` float DEFAULT NULL,
  `Rows_affected_max` float DEFAULT NULL,
  `Rows_affected_pct_95` float DEFAULT NULL,
  `Rows_affected_stddev` float DEFAULT NULL,
  `Rows_affected_median` float DEFAULT NULL,
  `Rows_read_sum` float DEFAULT NULL,
  `Rows_read_min` float DEFAULT NULL,
  `Rows_read_max` float DEFAULT NULL,
  `Rows_read_pct_95` float DEFAULT NULL,
  `Rows_read_stddev` float DEFAULT NULL,
  `Rows_read_median` float DEFAULT NULL,
  `Merge_passes_sum` float DEFAULT NULL,
  `Merge_passes_min` float DEFAULT NULL,
  `Merge_passes_max` float DEFAULT NULL,
  `Merge_passes_pct_95` float DEFAULT NULL,
  `Merge_passes_stddev` float DEFAULT NULL,
  `Merge_passes_median` float DEFAULT NULL,
  `InnoDB_IO_r_ops_min` float DEFAULT NULL,
  `InnoDB_IO_r_ops_max` float DEFAULT NULL,
  `InnoDB_IO_r_ops_pct_95` float DEFAULT NULL,
  `InnoDB_IO_r_bytes_pct_95` float DEFAULT NULL,
  `InnoDB_IO_r_bytes_stddev` float DEFAULT NULL,
  `InnoDB_IO_r_bytes_median` float DEFAULT NULL,
  `InnoDB_IO_r_wait_min` float DEFAULT NULL,
  `InnoDB_IO_r_wait_max` float DEFAULT NULL,
  `InnoDB_IO_r_wait_pct_95` float DEFAULT NULL,
  `InnoDB_IO_r_ops_stddev` float DEFAULT NULL,
  `InnoDB_IO_r_ops_median` float DEFAULT NULL,
  `InnoDB_IO_r_bytes_min` float DEFAULT NULL,
  `InnoDB_IO_r_bytes_max` float DEFAULT NULL,
  `InnoDB_IO_r_wait_stddev` float DEFAULT NULL,
  `InnoDB_IO_r_wait_median` float DEFAULT NULL,
  `InnoDB_rec_lock_wait_min` float DEFAULT NULL,
  `InnoDB_rec_lock_wait_max` float DEFAULT NULL,
  `InnoDB_rec_lock_wait_pct_95` float DEFAULT NULL,
  `InnoDB_rec_lock_wait_stddev` float DEFAULT NULL,
  `InnoDB_rec_lock_wait_median` float DEFAULT NULL,
  `InnoDB_queue_wait_min` float DEFAULT NULL,
  `InnoDB_queue_wait_max` float DEFAULT NULL,
  `InnoDB_queue_wait_pct_95` float DEFAULT NULL,
  `InnoDB_queue_wait_stddev` float DEFAULT NULL,
  `InnoDB_queue_wait_median` float DEFAULT NULL,
  `InnoDB_pages_distinct_min` float DEFAULT NULL,
  `InnoDB_pages_distinct_max` float DEFAULT NULL,
  `InnoDB_pages_distinct_pct_95` float DEFAULT NULL,
  `InnoDB_pages_distinct_stddev` float DEFAULT NULL,
  `InnoDB_pages_distinct_median` float DEFAULT NULL,
  `QC_Hit_cnt` float DEFAULT NULL,
  `QC_Hit_sum` float DEFAULT NULL,
  `Full_scan_cnt` float DEFAULT NULL,
  `Full_scan_sum` float DEFAULT NULL,
  `Full_join_cnt` float DEFAULT NULL,
  `Full_join_sum` float DEFAULT NULL,
  `Tmp_table_cnt` float DEFAULT NULL,
  `Tmp_table_sum` float DEFAULT NULL,
  `Filesort_cnt` float DEFAULT NULL,
  `Filesort_sum` float DEFAULT NULL,
  `Tmp_table_on_disk_cnt` float DEFAULT NULL,
  `Tmp_table_on_disk_sum` float DEFAULT NULL,
  `Filesort_on_disk_cnt` float DEFAULT NULL,
  `Filesort_on_disk_sum` float DEFAULT NULL,
  `Bytes_sum` float DEFAULT NULL,
  `Bytes_min` float DEFAULT NULL,
  `Bytes_max` float DEFAULT NULL,
  `Bytes_pct_95` float DEFAULT NULL,
  `Bytes_stddev` float DEFAULT NULL,
  `Bytes_median` float DEFAULT NULL,
  UNIQUE KEY `hostname_max` (`hostname_max`,`checksum`,`ts_min`,`ts_max`),
  KEY `ts_min` (`ts_min`),
  KEY `checksum` (`checksum`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

创建数据库账号

$ mysql -uroot -p -h 192.168.1.190 < install.sql
$ mysql -uroot -p -h 192.168.1.190 -e "grant ALL ON slow_query_log.* to 'slowlog'@'%' IDENTIFIED BY '123456';"

配置Query-Digest-UI

git clone https://github.com/kormoc/Query-Digest-UI.git
cd Query-Digest-UI
cp config.php.example config.php
vi config.php
$reviewhost = array(
// Replace hostname and database in this setting
// use host=hostname;port=portnum if not the default port
    'dsn'           => 'mysql:host=192.168.1.190;port=3306;dbname=slow_query_log',
    'user'          => 'slowlog',
    'password'      => '123456',
// See http://www.percona.com/doc/percona-toolkit/2.1/pt-query-digest.html#cmdoption-pt-query-digest--review
    'review_table'  => 'global_query_review',
// This table is optional. You don't need it, but you lose detailed stats
// Set to a blank string to disable
// See http://www.percona.com/doc/percona-toolkit/2.1/pt-query-digest.html#cmdoption-pt-query-digest--review-history
    'history_table' => 'global_query_review_history',
);

4)使用pt-query-digest分析日志并将分析结果导入数据库

pt-query-digest --user=slowlog --password=123456 --review h=192.168.1.190,D=slow_query_log,t=global_query_review --review-history h=192.168.1.190,D=slow_query_log,t=global_query_review_history --no-report --limit=0% --filter=" \$event->{Bytes} = length(\$event->{arg}) and \$event->{hostname}=\"$HOSTNAME\"" /usr/local/mysql/data/slow.log

5)访问web界面查看可视化结果

参考文档：http://www.ttlsa.com/mysql/mysql-slow-query-log-analysis-and-visualization-of-results/

posted @ 2016-10-08 17:07 秋楓阅读(3117) 评论(0) 编辑收藏举报

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MySQL 慢查询日志分析及可视化结果

MySQL 慢查询日志分析及可视化结果

MySQL 慢查询日志分析

将慢查询日志的分析结果可视化

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