mysql sql语句执行时间查询

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#mysql #执行时间查询

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本文介绍两种MySQL查询性能分析的方法：一是使用内置的profile工具来跟踪SQL执行过程并获取详细的性能指标；二是通过记录时间差来估算查询耗时。

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第一种：

开启profile
1   mysql> set profiling=1;
2   Query OK, 0 rows affected (0.00 sec)
eg：
1   mysql> select * from test_1;
2   mysql> show profiles;
3   +----------+------------+----------------------+
4   | Query_ID | Duration   | Query                |
5   +----------+------------+----------------------+
6   |        1 | 0.84718100 | select * from test_1 |
7   +----------+------------+----------------------+

8 1 row in set (0.00 sec)

3 mysql> show profile for query 1; #对进程1的详细查询

+--------------------------------+----------+
| Status                         | Duration |
+--------------------------------+----------+
| starting                       | 0.000042 |
| Waiting for query cache lock   | 0.000006 |
| checking query cache for query | 0.000009 |
| checking privileges on cached | 0.000006 |
| checking permissions           | 0.000033 |
| sending cached result to clien | 0.000013 |
| logging slow query             | 0.000005 |
| cleaning up                    | 0.000006 |
+--------------------------------+----------+
8 rows in set (0.00 sec)

4 mysql> show profile cpu for query 1; #对进程1使用CPU情况查询

+--------------------------------+----------+----------+------------+
| Status                         | Duration | CPU_user | CPU_system |
+--------------------------------+----------+----------+------------+
| starting                       | 0.000042 | 0.000000 |   0.000000 |
| Waiting for query cache lock   | 0.000006 | 0.000000 |   0.000000 |
| checking query cache for query | 0.000009 | 0.000000 |   0.000000 |
| checking privileges on cached | 0.000006 | 0.000000 |   0.000000 |
| checking permissions           | 0.000033 | 0.000000 |   0.000000 |
| sending cached result to clien | 0.000013 | 0.000000 |   0.000000 |
| logging slow query             | 0.000005 | 0.000000 |   0.000000 |
| cleaning up                    | 0.000006 | 0.000000 |   0.000000 |
+--------------------------------+----------+----------+------------+
8 rows in set (0.00 sec)

5 mysql> set profiling=0; #退出查询

第二种：(通过时间差查看)

delimiter // set @d=now();
select * from comment;
select timestampdiff(second,@d,now());
delimiter ;

Query OK, 0 rows affected (1 min 55.58 sec)

+----------------------------------+
| timestampdiff(second, @d, now()) |
+----------------------------------+
| 2 |
+----------------------------------+
1 row in set (1 min 55.58 sec)