1、介绍
一、分析SQL执行带来的开销是优化SQL的重要手段。
二、在MySQL数据库中,能够经过配置profiling参数来启用SQL剖析。
三、该参数能够在全局和session级别来设置。
四、对于全局级别则做用于整个MySQL实例,而session级别紧影响当前session。
五、该参数开启后,后续执行的SQL语句都将记录其资源开销,诸如IO,上下文切换,CPU,Memory等等。根据这些开销进一步分析当前SQL瓶颈从而进行优化与调整。
2、有关profile的描述show variables like 'version';
show variables like '%profil%';
mysql
mysql> show variables like '%profil%'; +------------------------+-------+ | Variable_name | Value | +------------------------+-------+ | have_profiling | YES | --只读变量,用于控制是否由系统变量开启或禁用profiling | profiling | OFF | --开启SQL语句剖析功能 | profiling_history_size | 15 | --设置保留profiling的数目,缺省为15,范围为0至100,为0时将禁 +------------------------+-------+ 3 rows in set (0.00 sec)
--获取profile的帮助
root@localhost[sakila]> help profile;
Name: 'SHOW PROFILE'
Description:
Syntax:
SHOW PROFILE [type [, type] ... ]
[FOR QUERY n]
[LIMIT row_count [OFFSET offset]] sql
type:
ALL --显示全部的开销信息
| BLOCK IO --显示块IO相关开销
| CONTEXT SWITCHES --上下文切换相关开销
| CPU --显示CPU相关开销信息
| IPC --显示发送和接收相关开销信息
| MEMORY --显示内存相关开销信息
| PAGE FAULTS --显示页面错误相关开销信息
| SOURCE --显示和Source_function,Source_file,Source_line相关的开销信息
| SWAPS --显示交换次数相关开销的信息 数据库
二、开启porfiling
--启用session级别的profiling root@localhost[sakila]> set profiling=1; Query OK, 0 rows affected, 1 warning (0.00 sec) --验证修改后的结果 root@localhost[sakila]> show variables like '%profil%'; +------------------------+-------+ | Variable_name | Value | +------------------------+-------+ | have_profiling | YES | | profiling | ON | | profiling_history_size | 15 | +------------------------+-------+ --发布SQL查询 root@localhost[sakila]> select count(*) from customer; +----------+ | count(*) | +----------+ | 599 | +----------+ --查看当前session全部已产生的profile root@localhost[sakila]> show profiles; +----------+------------+--------------------------------+ | Query_ID | Duration | Query | +----------+------------+--------------------------------+ | 1 | 0.00253600 | show variables like '%profil%' | | 2 | 0.00138150 | select count(*) from customer | +----------+------------+--------------------------------+ 2 rows in set, 1 warning (0.01 sec) --咱们看到有2个warning,以前一个,如今一个 root@localhost[sakila]> show warnings; --下面的结果代表SHOW PROFILES未来会被Performance Schema替换掉 +---------+------+--------------------------------------------------------------------------------------------------------------+ | Level | Code | Message | +---------+------+--------------------------------------------------------------------------------------------------------------+ | Warning | 1287 | 'SHOW PROFILES' is deprecated and will be removed in a future release. Please use Performance Schema instead | +---------+------+--------------------------------------------------------------------------------------------------------------+
三、获取SQL语句的开销信息session
--能够直接使用show profile来查看上一条SQL语句的开销信息 --注,show profile之类的语句不会被profiling,即自身不会产生Profiling --咱们下面的这个show profile查看的是show warnings产生的相应开销 root@localhost[sakila]> show profile; +----------------+----------+ | Status | Duration | +----------------+----------+ | starting | 0.000141 | | query end | 0.000058 | | closing tables | 0.000014 | | freeing items | 0.001802 | | cleaning up | 0.000272 | +----------------+----------+ --以下面的查询show warnings被添加到profiles root@localhost[sakila]> show profiles; +----------+------------+--------------------------------+ | Query_ID | Duration | Query | +----------+------------+--------------------------------+ | 1 | 0.00253600 | show variables like '%profil%' | | 2 | 0.00138150 | select count(*) from customer | | 3 | 0.00228600 | show warnings | +----------+------------+--------------------------------+ --获取指定查询的开销 root@localhost[sakila]> show profile for query 2; +----------------------+----------+ | Status | Duration | +----------------------+----------+ | starting | 0.000148 | | checking permissions | 0.000014 | | Opening tables | 0.000047 | | init | 0.000023 | | System lock | 0.000035 | | optimizing | 0.000012 | | statistics | 0.000019 | | preparing | 0.000014 | | executing | 0.000006 | | Sending data | 0.000990 | | end | 0.000010 | | query end | 0.000011 | | closing tables | 0.000010 | | freeing items | 0.000016 | | cleaning up | 0.000029 | +----------------------+----------+ --查看特定部分的开销,以下为CPU部分的开销 root@localhost[sakila]> show profile cpu for query 2 ; +----------------------+----------+----------+------------+ | Status | Duration | CPU_user | CPU_system | +----------------------+----------+----------+------------+ | starting | 0.000148 | 0.000000 | 0.000000 | | checking permissions | 0.000014 | 0.000000 | 0.000000 | | Opening tables | 0.000047 | 0.000000 | 0.000000 | | init | 0.000023 | 0.000000 | 0.000000 | | System lock | 0.000035 | 0.000000 | 0.000000 | | optimizing | 0.000012 | 0.000000 | 0.000000 | | statistics | 0.000019 | 0.000000 | 0.000000 | | preparing | 0.000014 | 0.000000 | 0.000000 | | executing | 0.000006 | 0.000000 | 0.000000 | | Sending data | 0.000990 | 0.001000 | 0.000000 | | end | 0.000010 | 0.000000 | 0.000000 | | query end | 0.000011 | 0.000000 | 0.000000 | | closing tables | 0.000010 | 0.000000 | 0.000000 | | freeing items | 0.000016 | 0.000000 | 0.000000 | | cleaning up | 0.000029 | 0.000000 | 0.000000 | +----------------------+----------+----------+------------+ --以下为MEMORY部分的开销 root@localhost[sakila]> show profile memory for query 2 ; +----------------------+----------+ | Status | Duration | +----------------------+----------+ | starting | 0.000148 | | checking permissions | 0.000014 | | Opening tables | 0.000047 | | init | 0.000023 | | System lock | 0.000035 | | optimizing | 0.000012 | | statistics | 0.000019 | | preparing | 0.000014 | | executing | 0.000006 | | Sending data | 0.000990 | | end | 0.000010 | | query end | 0.000011 | | closing tables | 0.000010 | | freeing items | 0.000016 | | cleaning up | 0.000029 | +----------------------+----------+ --同时查看不一样资源开销 root@localhost[sakila]> show profile block io,cpu for query 2; +----------------------+----------+----------+------------+--------------+---------------+ | Status | Duration | CPU_user | CPU_system | Block_ops_in | Block_ops_out | +----------------------+----------+----------+------------+--------------+---------------+ | starting | 0.000148 | 0.000000 | 0.000000 | 0 | 0 | | checking permissions | 0.000014 | 0.000000 | 0.000000 | 0 | 0 | | Opening tables | 0.000047 | 0.000000 | 0.000000 | 0 | 0 | | init | 0.000023 | 0.000000 | 0.000000 | 0 | 0 | | System lock | 0.000035 | 0.000000 | 0.000000 | 0 | 0 | | optimizing | 0.000012 | 0.000000 | 0.000000 | 0 | 0 | | statistics | 0.000019 | 0.000000 | 0.000000 | 0 | 0 | | preparing | 0.000014 | 0.000000 | 0.000000 | 0 | 0 | | executing | 0.000006 | 0.000000 | 0.000000 | 0 | 0 | | Sending data | 0.000990 | 0.001000 | 0.000000 | 0 | 0 | | end | 0.000010 | 0.000000 | 0.000000 | 0 | 0 | | query end | 0.000011 | 0.000000 | 0.000000 | 0 | 0 | | closing tables | 0.000010 | 0.000000 | 0.000000 | 0 | 0 | | freeing items | 0.000016 | 0.000000 | 0.000000 | 0 | 0 | | cleaning up | 0.000029 | 0.000000 | 0.000000 | 0 | 0 | +----------------------+----------+----------+------------+--------------+---------------+ --下面的SQL语句用于查询query_id为2的SQL开销,且按最大耗用时间倒序排列 root@localhost[sakila]> set @query_id=2; root@localhost[sakila]> SELECT STATE, SUM(DURATION) AS Total_R, -> ROUND( -> 100 * SUM(DURATION) / -> (SELECT SUM(DURATION) -> FROM INFORMATION_SCHEMA.PROFILING -> WHERE QUERY_ID = @query_id -> ), 2) AS Pct_R, -> COUNT(*) AS Calls, -> SUM(DURATION) / COUNT(*) AS "R/Call" -> FROM INFORMATION_SCHEMA.PROFILING -> WHERE QUERY_ID = @query_id -> GROUP BY STATE -> ORDER BY Total_R DESC; +----------------------+----------+-------+-------+--------------+ | STATE | Total_R | Pct_R | Calls | R/Call | +----------------------+----------+-------+-------+--------------+ | Sending data | 0.000990 | 71.53 | 1 | 0.0009900000 |--最大耗用时间部分为发送数据 | starting | 0.000148 | 10.69 | 1 | 0.0001480000 | | Opening tables | 0.000047 | 3.40 | 1 | 0.0000470000 | | System lock | 0.000035 | 2.53 | 1 | 0.0000350000 | | cleaning up | 0.000029 | 2.10 | 1 | 0.0000290000 | | init | 0.000023 | 1.66 | 1 | 0.0000230000 | | statistics | 0.000019 | 1.37 | 1 | 0.0000190000 | | freeing items | 0.000016 | 1.16 | 1 | 0.0000160000 | | preparing | 0.000014 | 1.01 | 1 | 0.0000140000 | | checking permissions | 0.000014 | 1.01 | 1 | 0.0000140000 | | optimizing | 0.000012 | 0.87 | 1 | 0.0000120000 | | query end | 0.000011 | 0.79 | 1 | 0.0000110000 | | end | 0.000010 | 0.72 | 1 | 0.0000100000 | | closing tables | 0.000010 | 0.72 | 1 | 0.0000100000 | | executing | 0.000006 | 0.43 | 1 | 0.0000060000 | +----------------------+----------+-------+-------+--------------+ --开启profiling后,咱们能够经过show profile等方式查看,其实质是这些开销信息被记录到information_schema.profiling表 --以下面的查询,部分信息省略 profiling root@localhost[information_schema]> select * from profiling limit 3,3\G; *************************** 1. row *************************** QUERY_ID: 1 SEQ: 5 STATE: init DURATION: 0.000020 CPU_USER: 0.000000 CPU_SYSTEM: 0.000000 CONTEXT_VOLUNTARY: 0 CONTEXT_INVOLUNTARY: 0 BLOCK_OPS_IN: 0 BLOCK_OPS_OUT: 0 MESSAGES_SENT: 0 MESSAGES_RECEIVED: 0 PAGE_FAULTS_MAJOR: 0 PAGE_FAULTS_MINOR: 0 SWAPS: 0 SOURCE_FUNCTION: mysql_prepare_select SOURCE_FILE: sql_select.cc SOURCE_LINE: 1050 --中止profile,能够设置profiling参数,或者在session退出以后,profiling会被自动关闭 root@localhost[sakila]> set profiling=off; Query OK, 0 rows affected, 1 warning (0.00 sec)
本文摘抄自MySQL性能分析工具profile使用教程ide