我有以下mysql查询,大约需要55秒完成
SELECT this_.id AS y0_ FROM event this_
INNER JOIN member m1_ ON this_.member_id=m1_.id
INNER JOIN event_type et2_ ON this_.type_id=et2_.id
WHERE m1_.submission_id=40646 AND et2_.name IN ('Salary')
ORDER BY m1_.ni_number ASC, m1_.ident1 ASC, m1_.ident2 ASC, m1_.ident3 ASC, m1_.id ASC, et2_.name ASC LIMIT 15;
如果我删除“ event_type”表的联接/位置/顺序,则查询将在1秒内运行。
所以我加入“ event_type”表显然可以解决问题,但是在具有类似数据库卷的另一个数据库中进行类似查询绝对可以。所以我怀疑这1个数据库有问题。
“事件”表的“显示创建表”为:
Create Table: CREATE TABLE `event` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`version` bigint(20) NOT NULL,
`data_size` bigint(20) DEFAULT NULL,
`encoded_data` mediumblob,
`last_updated` datetime NOT NULL,
`member_id` bigint(20) NOT NULL,
`parent_event_id` bigint(20) DEFAULT NULL,
`status` varchar(255) DEFAULT NULL,
`type_id` bigint(20) NOT NULL,
`updated_by` varchar(255) NOT NULL,
`failed_workflow_case` varchar(255) DEFAULT NULL,
`failed_workflow_task` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `FK5C6729A2434DA80` (`member_id`),
KEY `FK5C6729AE4E22C6E` (`type_id`),
KEY `IND_parent_event_id` (`parent_event_id`),
CONSTRAINT `FK5C6729A2434DA80` FOREIGN KEY (`member_id`) REFERENCES `member` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION,
CONSTRAINT `FK5C6729AE4E22C6E` FOREIGN KEY (`type_id`) REFERENCES `event_type` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION
) ENGINE=InnoDB AUTO_INCREMENT=46241198 DEFAULT CHARSET=latin1
查询的解释为:
+----+-------------+-------+------------+--------+-------------------------------------+-------------------+---------+--------------------------+------+----------+----------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+--------+-------------------------------------+-------------------+---------+--------------------------+------+----------+----------------------------------------------+
| 1 | SIMPLE | et2_ | NULL | ref | PRIMARY,IND_name | IND_name | 257 | const | 1 | 100.00 | Using index; Using temporary; Using filesort |
| 1 | SIMPLE | this_ | NULL | ref | FK5C6729A2434DA80,FK5C6729AE4E22C6E | FK5C6729AE4E22C6E | 8 | iconnect.et2_.id | 3303 | 100.00 | NULL |
| 1 | SIMPLE | m1_ | NULL | eq_ref | PRIMARY,IND_submission_id | PRIMARY | 8 | iconnect.this_.member_id | 1 | 5.00 | Using where |
+----+-------------+-------+------------+--------+-------------------------------------+-------------------+---------+--------------------------+------+----------+----------------------------------------------+
“事件”表中的索引为:
+-------+------------+---------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+-------+------------+---------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| event | 0 | PRIMARY | 1 | id | A | 14307622 | NULL | NULL | | BTREE | | |
| event | 1 | FK5C6729A2434DA80 | 1 | member_id | A | 4680601 | NULL | NULL | | BTREE | | |
| event | 1 | FK5C6729AE4E22C6E | 1 | type_id | A | 4360 | NULL | NULL | | BTREE | | |
| event | 1 | IND_parent_event_id | 1 | parent_event_id | A | 114404 | NULL | NULL | YES | BTREE | | |
+-------+------------+---------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
从这里跳出来的是: 1.为什么EXPLAIN遍历3303行和FK5C6729AE4E22C6E索引? 2.当“ event_type”表中只有17行时,为什么FK5C6729AE4E22C6E索引的基数为4360?这种不正确的基数会影响查询优化器吗?
我已经对'event'和'event_type'进行了ANALYZE TABLE,这没什么区别。
有什么建议吗?
从其他服务器执行具有相同数据(从转储文件加载)的计划:
+----+-------------+-------+------------+------+-------------------------------------+-------------------+---------+-----------------+-------+----------+----------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+-------------------------------------+-------------------+---------+-----------------+-------+----------+----------------------------------------------+
| 1 | SIMPLE | et2_ | NULL | ALL | PRIMARY | NULL | NULL | NULL | 17 | 10.00 | Using where; Using temporary; Using filesort |
| 1 | SIMPLE | m1_ | NULL | ref | PRIMARY,IND_submission_id | IND_submission_id | 8 | const | 27992 | 100.00 | NULL |
| 1 | SIMPLE | this_ | NULL | ref | FK5C6729A2434DA80,FK5C6729AE4E22C6E | FK5C6729A2434DA80 | 8 | iconnect.m1_.id | 3 | 11.11 | Using where |
+----+-------------+-------+------------+------+-------------------------------------+-------------------+---------+-----------------+-------+----------+----------------------------------------------+
答案 0 :(得分:0)
将innodb_stats_persistent_sample_pages从20增加到100,然后在事件/成员表上运行ANALYZE TABLE更改了索引和执行计划的基数,然后查询在不到1秒的时间内运行。感谢Solarflare的建议。