Mysql的一条SQL优化(一)_MySQL
程序员文章站
2022-05-15 15:02:04
...
开发反应做压测时并发上不去,有条SQL执行非常慢,于是explain下:
SQL的执行成本已经大幅降低了,经开发已测试,效果相当不错,并发从10几个冲到2000以上。
MariaDB [db_vip]> MariaDB [db_vip]> explain select ext_id, mid, msource_id, msource_type, referee, mobile, tel, mpassword,status from m_db_vip where (msource_id='xx1391434680574433' and msource_type=1 ) or ( mobile='1391434680574433' and msource_type=1); +------+-------------+-----------+------+---------------+------+---------+------+-------+-------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +------+-------------+-----------+------+---------------+------+---------+------+-------+-------------+ | 1 | SIMPLE | m_db_vip | ALL | NULL | NULL | NULL | NULL | 86987 | Using where | +------+-------------+-----------+------+---------------+------+---------+------+-------+-------------+ 1 row in set (0.00 sec) MariaDB [db_vip]> show status like '%cost%'; +-----------------+--------------+ | Variable_name | Value | +-----------------+--------------+ | Last_query_cost | 18006.399000 | +-----------------+--------------+ 1 row in set (0.00 sec) 从执行计划中可以看出,这个SQL对表这个表m_db_vip进行了全表扫描,而表m_db_vip共有约10万行记录,Mysql优化器评估出的成本为18006, where条件的三列中msource_id与mobile都是选择性很强的列,msource_type的选择性弱, 首先对列msource_id创建一个索引: MariaDB [db_vip]> create index i_m_db_vip_1 on m_db_vip(msource_id); Query OK, 0 rows affected (1.18 sec) Records: 0 Duplicates: 0 Warnings: 0 再次执行SQL,发现Mysql并没有用上msource_id的索引(还是Oracle的CBO智能呀!) MariaDB [db_vip]> explain select ext_id, mid, msource_id, msource_type, referee, mobile, tel, mpassword,status from m_db_vip where (msource_id='xx1391434680574433' and msource_type=1 ) or ( mobile='1391434680574433' and msource_type=1); +------+-------------+-----------+------+---------------+------+---------+------+-------+-------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +------+-------------+-----------+------+---------------+------+---------+------+-------+-------------+ | 1 | SIMPLE | m_db_vip | ALL | i_m_db_vip_1 | NULL | NULL | NULL | 86987 | Using where | +------+-------------+-----------+------+---------------+------+---------+------+-------+-------------+ 1 row in set (0.01 sec) MariaDB [db_vip]> show status like '%cost%'; +-----------------+--------------+ | Variable_name | Value | +-----------------+--------------+ | Last_query_cost | 18006.399000 | +-----------------+--------------+ 1 row in set (0.00 sec) 再创建mobile上的索引: MariaDB [db_vip]> create index i_m_db_vip_2 on m_db_vip(mobile); Query OK, 0 rows affected (0.96 sec) Records: 0 Duplicates: 0 Warnings: 0 MariaDB [db_vip]> explain select ext_id, mid, msource_id, msource_type, referee, mobile, tel, mpassword,status from m_db_vip where (msource_id='xx1391434680574433' and msource_type=1 ) or ( mobile='1391434680574433' and msource_type=1); +------+-------------+-----------+-------------+-----------------------------+-----------------------------+---------+------+------+-------------------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +------+-------------+-----------+-------------+-----------------------------+-----------------------------+---------+------+------+-------------------------------------------------------+ | 1 | SIMPLE | m_db_vip | index_merge | i_m_db_vip_1,i_m_db_vip_2 | i_m_db_vip_1,i_m_db_vip_2 | 98,99 | NULL | 2 | Using union(i_m_db_vip_1,i_m_db_vip_2); Using where | +------+-------------+-----------+-------------+-----------------------------+-----------------------------+---------+------+------+-------------------------------------------------------+ 1 row in set (0.02 sec) MariaDB [db_vip]> show status like '%cost%'; +-----------------+----------+ | Variable_name | Value | +-----------------+----------+ | Last_query_cost | 6.826060 | +-----------------+----------+ 1 row in set (0.00 sec) MariaDB [db_vip]>
SQL的执行成本已经大幅降低了,经开发已测试,效果相当不错,并发从10几个冲到2000以上。
推荐阅读
-
一、mysql数据库,忘记密码怎么处理及处理过程中遇见的问题
-
Mysql中SQL语句不使用索引的情况
-
通过MySQL慢查询优化MySQL性能的方法讲解
-
PHP处理SQL脚本文件导入到MySQL的代码实例
-
mysql执行sql文件报错Error: Unknown storage engine‘InnoDB’的解决方法
-
解决MySQL安装到最后一步未响应的三种方法
-
mysql的sql语句特殊处理语句总结(必看)
-
PHP+mysql防止SQL注入的方法小结
-
Shell脚本中执行sql语句操作mysql的5种方法
-
解决MYSQL出现Can''t create/write to file ''#sql_5c0_0.MYD''的问题