【发布时间】:2010-11-18 07:33:57
【问题描述】:
我们的生产环境存在问题,该环境使用支持优先级的修改版 jBPM。目前的指数是:
| JBPM_TIMER | 1 | JBPM_TIMER_DUEDATE__PRIORITY_ | 1 | PRIORITY_ | A | 2 | NULL | NULL | YES | BTREE | |
| JBPM_TIMER | 1 | JBPM_TIMER_DUEDATE__PRIORITY_ | 2 | DUEDATE_ | A | 51 | NULL | NULL | YES | BTREE | |
有问题的查询:
mysql> explain select * from JBPM_TIMER where PRIORITY_ < 0 order by PRIORITY_ ASC, DUEDATE_ desc;
+----+-------------+------------+-------+-------------------------------+-------------------------------+---------+------+------+-----------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+------------+-------+-------------------------------+-------------------------------+---------+------+------+-----------------------------+
| 1 | SIMPLE | JBPM_TIMER | range | JBPM_TIMER_DUEDATE__PRIORITY_ | JBPM_TIMER_DUEDATE__PRIORITY_ | 5 | NULL | 10 | Using where; Using filesort |
+----+-------------+------------+-------+-------------------------------+-------------------------------+---------+------+------+-----------------------------+
1 row in set (0.00 sec)
使用 PRIORITY_ 的查询改为升序排序:
mysql> explain select * from JBPM_TIMER where PRIORITY_ < 0 order by PRIORITY_ ASC, DUEDATE_ asc;
+----+-------------+------------+-------+-------------------------------+-------------------------------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+------------+-------+-------------------------------+-------------------------------+---------+------+------+-------------+
| 1 | SIMPLE | JBPM_TIMER | range | JBPM_TIMER_DUEDATE__PRIORITY_ | JBPM_TIMER_DUEDATE__PRIORITY_ | 5 | NULL | 10 | Using where |
+----+-------------+------------+-------+-------------------------------+-------------------------------+---------+------+------+-------------+
1 row in set (0.00 sec)
谷歌搜索建议解决此问题的方法是添加另一列 (REVERSEPRIORITY_),其中包含 PRIORITY_ * -1 的值并改为索引该列。在我看来,这似乎是一个非常丑陋的解决方案,所以我想问你们是否有更好的解决方案!
【问题讨论】:
标签: mysql optimization indexing