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mysql> SELECT COUNT(DISTINCT actor.first_name) AS cnt_name, COUNT(*) AS cnt-> FROM sakila.film_actor-> INNER JOIN sakila.actor USING(actor_id)-> GROUP BY sakila.film_actor.film_id-> ORDER BY cnt_name DESC;...997 rows in set (0.03 sec)

这个执行语句的剖析信息存储在这个会话中。使用SHOW PROFILES进行查看。

mysql> SHOW PROFILES\G

*************************** 1. row ***************************Query_ID: 1Duration: 0.02596900Query: SELECT COUNT(DISTINCT actor.first_name) AS cnt_name,...

你可以使用SHOW PROFILE语句来获取已经存储的剖析数据。如果不加参数，会显示状态以及它们持续的时间。

mysql> SHOW PROFILE;

+------------------------+-----------+| Status | Duration |+------------------------+-----------+| (initialization) | 0.000005 || Opening tables | 0.000033 || System lock | 0.000037 || Table lock | 0.000024 || init | 0.000079 || optimizing | 0.000024 || statistics | 0.000079 || preparing | 0.00003 || Creating tmp table | 0.000124 || executing | 0.000008 || Copying to tmp table | 0.010048 || Creating sort index | 0.004769 || Copying to group table | 0.0084880 || Sorting result | 0.001136 || Sending data | 0.000925 || end | 0.00001 || removing tmp table | 0.00004 || end | 0.000005 || removing tmp table | 0.00001 || end | 0.000011 || query end | 0.00001 || freeing items | 0.000025 || removing tmp table | 0.00001 || freeing items | 0.000016 || closing tables | 0.000017 || logging slow query | 0.000006 |+------------------------+-----------+

每行都是状态变化的过程以及它们持续的时间。Status那一列和SHOW FULL PROCESSLIST的State应该是一致的。
这个值是来自于thd->proc_info变量。因此你所查看的这个值是直接来自MySQL内部的。尽管这些数值是比较直接易懂的，你也可以查看MySQL手册。

你可以给SHOW PROFILES指定一个Query_ID来查看指定的语句，还可以给输出添加新的列。如，查看用户和CPU使用。可以用如下命令。

mysql> SHOW PROFILE CPU FOR QUERY 1;

SHOW PROFILE可以深入的查看服务器执行语句的工作情况。以及也能帮助你理解执行语句消耗时间的情况。一些限制是它没有实现的功能，不能查看和剖析其他连接的语句，以及剖析时所引起的消耗。

SHOW PROFILES显示最近发给服务器的多条语句，条数根据会话变量profiling_history_size定义，默认是15，最大值为100。设为0等价于关闭分析功能。

SHOW PROFILE FOR QUERY n，这里的n就是对应SHOW PROFILES输出中的Query_ID。

例如：

mysql> show profiles;

+----------+-------------+---------------------------------------+| Query_ID | Duration | Query     |+----------+-------------+---------------------------------------+| 1 | 0.00037700 | alter table table1 drop column c3 int || 2 | 70.37123800 | alter table table1 drop column c3 || 3 | 0.00124500 | show tables    || 4 | 0.00569800 | select * from table1 where id=2 || 5 | 0.00068500 | select count(1) from tables1  || 6 | 0.00197900 | select count(1) from table1  || 7 | 0.00105900 | alter table tables1 drop c1  || 8 | 0.00800200 | alter table table1 drop c1  |+----------+-------------+---------------------------------------+8 rows in set (0.00 sec)

mysql> SHOW PROFILE FOR QUERY 2; #查看alter table table1 drop column c3的分析

+------------------------------+-----------+| Status   | Duration |+------------------------------+-----------+| starting   | 0.000183 || checking permissions  | 0.000057 || checking permissions  | 0.000059 || init    | 0.000060 || Opening tables  | 0.000071 || System lock   | 0.000062 || setup   | 0.000080 || creating table  | 0.005052 || After create   | 0.000220 || copy to tmp table  | 0.000244 || rename result table  | 70.364027 || end    | 0.000575 || Waiting for query cache lock | 0.000062 || end    | 0.000075 || query end   | 0.000057 || closing tables  | 0.000061 || freeing items  | 0.000080 || logging slow query  | 0.000056 || logging slow query  | 0.000098 || cleaning up   | 0.000059 |+------------------------------+-----------+20 rows in set (0.00 sec)

如果没有指定FOR QUERY，那么输出最近一条语句的信息。

LIMIT部分的用法与SELECT中LIMIT子句一致，不赘述。

type是可选的，取值范围可以如下：

ALL 显示所有性能信息 BLOCK IO 显示块IO操作的次数 CONTEXT SWITCHES 显示上下文切换次数，不管是主动还是被动 CPU 显示用户CPU时间、系统CPU时间 IPC 显示发送和接收的消息数量 MEMORY [暂未实现] PAGE FAULTS 显示页错误数量 SOURCE 显示源码中的函数名称与位置 SWAPS 显示SWAP的次数

例：

mysql> show profile cpu for query 2;

+------------------------------+-----------+----------+------------+| Status   | Duration | CPU_user | CPU_system |+------------------------------+-----------+----------+------------+| starting   | 0.000183 | 0.000000 | 0.000000 || checking permissions  | 0.000057 | 0.000000 | 0.000000 || checking permissions  | 0.000059 | 0.000000 | 0.000000 || init    | 0.000060 | 0.000000 | 0.000000 || Opening tables  | 0.000071 | 0.000000 | 0.000000 || System lock   | 0.000062 | 0.000000 | 0.000000 || setup   | 0.000080 | 0.000000 | 0.001000 || creating table  | 0.005052 | 0.003000 | 0.001000 || After create   | 0.000220 | 0.000000 | 0.000000 || copy to tmp table  | 0.000244 | 0.000000 | 0.000000 || rename result table  | 70.364027 | 7.470864 | 41.612674 || end    | 0.000575 | 0.000000 | 0.001000 || Waiting for query cache lock | 0.000062 | 0.000000 | 0.000000 || end    | 0.000075 | 0.000000 | 0.000000 || query end   | 0.000057 | 0.000000 | 0.000000 || closing tables  | 0.000061 | 0.000000 | 0.000000 || freeing items  | 0.000080 | 0.000000 | 0.000000 || logging slow query  | 0.000056 | 0.000000 | 0.000000 || logging slow query  | 0.000098 | 0.000000 | 0.000000 || cleaning up   | 0.000059 | 0.000000 | 0.000000 |+------------------------------+-----------+----------+------------+20 rows in set (0.00 sec)

ps:
SHOW PROFILE ALL FOR QUERY 2;的信息还可以通过SELECT * FROM information_schema.profiling WHERE query_id = 2 ORDER BY seq;获取。

作用范围
这个命令只是在本会话内起作用，即无法分析本会话外的语句。

开启分析功能后，所有本会话中的语句都被分析（甚至包括执行错误的语句），除了SHOW PROFILE和SHOW PROFILES两句本身。

应用示例：使用SHOW PROFILE分析查询缓存命中的性能优势。

mysql> set profiling=1;

Query OK, 0 rows affected (0.00 sec)

mysql> select count(1) as cnt from tran_excution;

+-------+| cnt |+-------+| 14225 |+-------+1 row in set (0.00 sec)

由于已经启用了查询缓存，相同查询（非分区表）可以直接在查询缓存中命中。

mysql> select count(1) as cnt from tran_excution;

我们仔细看下两个同样的语句的分析。

mysql> show profile source for query 1;

+--------------------------------+----------+-----------------------+---------------+-------------+| Status    | Duration | Source_function | Source_file | Source_line |+--------------------------------+----------+-----------------------+---------------+-------------+| starting   | 0.000048 | NULL   | NULL  | NULL || Waiting for query cache lock | 0.000013 | try_lock  | sql_cache.cc |  454 || checking query cache for query | 0.000040 | send_result_to_client | sql_cache.cc | 1561 || checking permissions  | 0.000023 | check_access  | sql_parse.cc | 4751 || Opening tables   | 0.000040 | open_tables  | sql_base.cc | 4831 || System lock   | 0.000020 | mysql_lock_tables | lock.cc |  299 || Waiting for query cache lock | 0.000037 | try_lock  | sql_cache.cc |  454 || init    | 0.000020 | mysql_select  | sql_select.cc | 2579 || optimizing   | 0.000015 | optimize  | sql_select.cc |  865 || statistics   | 0.000017 | optimize  | sql_select.cc | 1056 || preparing   | 0.000016 | optimize  | sql_select.cc | 1078 || executing   | 0.000015 | exec   | sql_select.cc | 1836 || Sending data   | 0.003875 | exec   | sql_select.cc | 2380 || end    | 0.000018 | mysql_select  | sql_select.cc | 2615 || query end   | 0.000015 | mysql_execute_command | sql_parse.cc | 4440 || closing tables   | 0.000016 | mysql_execute_command | sql_parse.cc | 4492 || freeing items   | 0.000016 | mysql_parse  | sql_parse.cc | 5640 || Waiting for query cache lock | 0.000012 | try_lock  | sql_cache.cc |  454 || freeing items   | 0.000032 | NULL   | NULL  | NULL || Waiting for query cache lock | 0.000017 | try_lock  | sql_cache.cc |  454 || freeing items   | 0.000016 | NULL   | NULL  | NULL || storing result in query cache | 0.000017 | end_of_result  | sql_cache.cc | 1020 || logging slow query  | 0.000018 | log_slow_statement | sql_parse.cc | 1461 || logging slow query  | 0.000050 | log_slow_statement | sql_parse.cc | 1470 || cleaning up   | 0.000018 | dispatch_command | sql_parse.cc | 1417 |+--------------------------------+----------+-----------------------+---------------+-------------+25 rows in set (0.00 sec)

mysql> show profile source for query 2;

+--------------------------------+----------+-----------------------+--------------+-------------+| Status    | Duration | Source_function | Source_file | Source_line |+--------------------------------+----------+-----------------------+--------------+-------------+| starting   | 0.000051 | NULL   | NULL  | NULL || Waiting for query cache lock | 0.000014 | try_lock  | sql_cache.cc |  454 || checking query cache for query | 0.000016 | send_result_to_client | sql_cache.cc | 1561 || checking privileges on cached | 0.000013 | send_result_to_client | sql_cache.cc | 1652 || checking permissions  | 0.000015 | check_access  | sql_parse.cc | 4751 || sending cached result to clien | 0.000036 | send_result_to_client | sql_cache.cc | 1749 || logging slow query  | 0.000017 | log_slow_statement | sql_parse.cc | 1461 || cleaning up   | 0.000018 | dispatch_command | sql_parse.cc | 1417 |+--------------------------------+----------+-----------------------+--------------+-------------+8 rows in set (0.00 sec)

可以清晰地看到缓存中命中时，大大节省了后台的开销。当然缓存的使用也需要根据各种场景（表的数据规模，更新频率等）考察使用，并不是启用缓存就一定能够提高查询效率。这里仅仅作为SHOW PROFILE的一个应用示例。

(责任编辑：admin)