MYSQL 中 exists 语句执行效率变低
发布时间：2022-03-22 13:59:49 所属栏目：MySql教程 来源：互联网
导读：在ORACLE 中,我们常常推荐使用exists 来替代in,往往也能取得比较好的优化效果。在ORACLE应用迁往MYSQL的过程中，我们发现部分in 的子查询语句带到MYSQL中，其执行效率变得非常低下，这很让人觉得匪夷所思。于是，我分析了一波。 对两个表，分别是一大一小
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在ORACLE 中,我们常常推荐使用exists 来替代in,往往也能取得比较好的优化效果。在ORACLE应用迁往MYSQL的过程中，我们发现部分in 的子查询语句带到MYSQL中，其执行效率变得非常低下，这很让人觉得匪夷所思。于是，我分析了一波。 对两个表，分别是一大一小进行关联查询: mysql> select count(*) from users; +----------+ | count(*) | +----------+ | 19 | +----------+ 1 row in set mysql> select count(*) from orders; +----------+ | count(*) | +----------+ | 86310 | +----------+ 1 row in set mysql> 开启profile，发现无论是子查询是大表还是小表 ，exists的语句总是比in执行慢： mysql> show profiles; +----------+------------+--------------------------------------------------------------------------------------------+ | Query_ID | Duration | Query | +----------+------------+--------------------------------------------------------------------------------------------+ | 1 | 1.08661625 | select count(1) from orders o where o.user_id in(select u.id from users u) | | 2 | 1.56956275 | select count(1) from orders o where exists (select 1 from users u where u.id = o.user_id) | | 3 | 0.81266425 | select count(1) from users u where u.id in(select o.user_id from orders o) | | 4 | 8.4164905 | select count(1) from users u where exists (select 1 from orders o where u.id = o.user_id) | +----------+------------+--------------------------------------------------------------------------------------------+ 4 rows in set 而查看exists语句的profile内容，发现其存在多个executing 和sending data过程，这是整个sql执行的主要耗时过程： mysql> show profile for query 2 ; +----------------------------+----------+ | Status | Duration | +----------------------------+----------+ | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.5E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 1E-6 | | Sending data | 1.3E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.7E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.1E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 1E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.1E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.2E-5 | | executing | 2E-6 | | Sending data | 1.5E-5 | | end | 3E-6 | | query end | 3E-6 | | waiting for handler commit | 1E-5 | | closing tables | 9E-6 | | freeing items | 0.000152 | | cleaning up | 1.7E-5 | +----------------------------+----------+ 100 rows in set 而在in 子查询中，sending data这个过程只有一次，这也是整个sql执行主要耗时地方： mysql> show profile for query 1; +--------------------------------+----------+ | Status | Duration | +--------------------------------+----------+ | starting | 9.3E-5 | | Executing hook on transaction | 6E-6 | | starting | 8E-6 | | checking permissions | 5E-6 | | checking permissions | 4E-6 | | Opening tables | 0.004849 | | init | 1.8E-5 | | System lock | 1.4E-5 | | optimizing | 1.4E-5 | | statistics | 3.1E-5 | | preparing | 2.2E-5 | | executing | 3E-6 | | Sending data | 1.081273 | 《《《《《《《《《《《《《《《《《《《 | end | 1.3E-5 | | query end | 3E-6 | | waiting for handler commit | 1E-5 | | closing tables | 5.2E-5 | | freeing items | 0.000171 | | cleaning up | 2.9E-5 | +--------------------------------+----------+ 关于sending data和executing 解析： Sending data The thread is reading and processing rows for a SELECT statement, and sending data to the client. Because operations occurring during this state tend to perform large amounts of disk access (reads), it is often the longest-running state over the lifetime of a given query. 说Sending data 是：线程正在为一个select语句读取和处理行，并且发送数据到客户端。因为这期间操作倾向于大量的磁盘访问（读取），所以这常是整个查询周期中运行时间最长的阶段。（这是MySQL 5.5的解释，5.7的解释完全一样，但是5.7多了一个Sending to client状态） 这样就清楚了，Sending data 做了 读取，处理（过滤，排序等。。）和发送 三件事情，接下来再看该状态下的cpu 和 io 信息 以分析语句的瓶颈是 读取还是处理 ，再做相应的优化调整。。 executing The thread has begun executing a statement. 在exists语句中不断地executing和Sending data 应该是在不断地扫描抓取数据进行匹配，那这应该与MYSQL 的算法有关，通过trace查看其实是在多次子查询 join_execution： { "subselect_execution": { "select#": 2, "steps": [ { "join_execution": { "select#": 2, "steps": [ ] /* steps */ } /* join_execution */ } ] /* steps */ } /* subselect_execution */ }, 想知道这是鸡肋吗，不知有没有相关的解析？ （编辑：源码网） 【声明】本站内容均来自网络，其相关言论仅代表作者个人观点，不代表本站立场。若无意侵犯到您的权利，请及时与联系站长删除相关内容! |
