mysql版本:
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mysql> select version();
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+------------+
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| version() |
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+------------+
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| 5.7.12-log |
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+------------+
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1 row in set (0.00 sec)
今天早上看到一个sql执行慢,要8秒左右才能出结果,sql如下:
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SELECT *
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FROM CUSTOMERS
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WHERE TYPE = 1
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AND STATUS < 7
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AND ISAREA = 6
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AND INTO_TIME >= '2016-11-01'
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AND INTO_TIME <= '2016-12-01'
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ORDER BY SCORE DESC LIMIT 1140, 20;
查看此sql的执行计划:
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mysql> explain SELECT *
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-> FROM CUSTOMERS
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-> WHERE TYPE = 1
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-> AND STATUS < 7
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-> AND ISAREA = 6
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-> AND INTO_TIME >= '2016-11-01'
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-> AND INTO_TIME <= '2016-12-01'
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-> ORDER BY SCORE DESC LIMIT 1140, 20;
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+----+-------------+-----------+------------+-------+-----------------------------------------------------------------+-------+---------+------+-------+----------+-------------+
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| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
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+----+-------------+-----------+------------+-------+-----------------------------------------------------------------+-------+---------+------+-------+----------+-------------+
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| 1 | SIMPLE | CUSTOMERS | NULL | index | type,into_time,isarea,status,idx_isarea_renew_owner,type_status | score | 2 | NULL | 11314 | 0.25 | Using where |
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+----+-------------+-----------+------------+-------+-----------------------------------------------------------------+-------+---------+------+-------+----------+-------------+
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1 row in set, 1 warning (0.00 sec)
查看表上都有哪些索引:
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PRIMARY KEY (`id`),
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KEY `newdata` (`newdata`),
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KEY `cusname` (`cusname`),
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KEY `type` (`type`,`ownerid`),
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KEY `operator` (`operator`),
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KEY `into_time` (`into_time`),
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KEY `isarea` (`isarea`),
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KEY `linkcase` (`linkcase`),
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KEY `status` (`status`),
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KEY `operate_id` (`operate_id`),
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KEY `isparticiple` (`isparticiple`),
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KEY `idx_level_op` (`level_op`),
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KEY `idx_status_op` (`status_op`),
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KEY `renew_ownerid` (`renew_ownerid`),
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KEY `renew` (`renew`),
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KEY `idx_ownerid` (`ownerid`),
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KEY `idx_isarea_renew_owner` (`isarea`,`renew_ownerid`),
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KEY `idx_create_time` (`create_time`),
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KEY `idx_source` (`source`),
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KEY `type_status` (`type`,`status`),
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KEY `end_month` (`end_month`),
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KEY `score` (`score`),
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FULLTEXT KEY `fdx_cusname` (`cusname_idx`)
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) ENGINE=InnoDB AUTO_INCREMENT=2529287 DEFAULT CHARSET=utf8 |
查看选择性:
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mysql> SELECT COUNT(*) FROM CUSTOMERS where TYPE = 1;
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+----------+
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| COUNT(*) |
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+----------+
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| 2347457 |
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+----------+
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1 row in set (4.66 sec)
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mysql> select count(*) from customers where STATUS < 7;
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+----------+
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| count(*) |
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+----------+
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| 2468461 |
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+----------+
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1 row in set (3.51 sec)
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mysql> select count(*) from customers where ISAREA = 6;
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+----------+
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| count(*) |
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+----------+
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| 134726 |
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+----------+
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1 row in set (0.17 sec)
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mysql> SELECT COUNT(*) FROM CUSTOMERS WHERE INTO_TIME >= '2016-11-01' AND INTO_TIME <= '2016-12-01';
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+----------+
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| COUNT(*) |
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+----------+
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| 110859 |
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+----------+
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1 row in set (0.26 sec)
看下全表有多少数据:
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mysql> select count(*) from customers;
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+----------+
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| count(*) |
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+----------+
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| 2481386 |
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+----------+
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1 row in set (2.01 sec)
选择性最好就是
INTO_TIME,因为这个列也有索引,强制走这个索引
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mysql> explain SELECT *
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-> FROM CUSTOMERS USE KEY(into_time)
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-> WHERE TYPE = 1
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-> AND STATUS < 7
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-> AND ISAREA = 6
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-> AND INTO_TIME >= '2016-11-01'
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-> AND INTO_TIME <= '2016-12-01'
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-> ORDER BY SCORE DESC LIMIT 1140, 20;
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+----+-------------+-----------+------------+-------+---------------+-----------+---------+------+--------+----------+----------------------------------------------------+
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| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
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+----+-------------+-----------+------------+-------+---------------+-----------+---------+------+--------+----------+----------------------------------------------------+
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| 1 | SIMPLE | CUSTOMERS | NULL | range | into_time | into_time | 6 | NULL | 244448 | 0.05 | Using index condition; Using where; Using filesort |
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+----+-------------+-----------+------------+-------+---------------+-----------+---------+------+--------+----------+----------------------------------------------------+
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1 row in set, 1 warning (0.00 sec)
用上这个索引了,实际执行不到0.3秒出结果,还是可以接受的。
最后给研发提了几个建议:
1.尽量不要用select *
2.这个表200多万数据,可以考虑分表。
来自 “ ITPUB博客 ” ,链接:https://blog.itpub.net/20893244/viewspace-2131988/
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