我正在执行一个MySQL表(myisam引擎)的更新,根据分析器,它在'初始化'状态花费过多时间:MySQL查询:在'初始化'状态花费的时间太长
mysql> show profile for query 2;
+----------------------+-----------+
| Status | Duration |
+----------------------+-----------+
| starting | 0.000057 |
| checking permissions | 0.000006 |
| Opening tables | 0.000020 |
| System lock | 0.000007 |
| Table lock | 0.000005 |
| init | 21.911657 |
| Updating | 0.002363 |
| end | 0.000009 |
| query end | 0.000004 |
| freeing items | 0.000051 |
| logging slow query | 0.000003 |
| logging slow query | 0.000002 |
| cleaning up | 0.000005 |
+----------------------+-----------+
查询如下:
mysql> update my_table
-> set rank =
-> greatest(
-> @rank := if(@score = score, @rank, @rank + 1),
-> least(0, @score := score)
-> )
-> where game=7 and zone=11 and ladder=2
-> order by score
-> limit 100;
Query OK, 100 rows affected (21.92 sec)
Rows matched: 100 Changed: 100 Warnings: 0
我对在“其中”和列出的所有列的复合索引“以便通过”条款(见下文命名为“zone_lad_score”指数):
mysql> show indexes from my_table;
+--------------------+------------+-----------------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+--------------------+------------+-----------------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+
| my_table | 1 | indx_e | 1 | col_e | A | 2937401 | NULL | NULL | | BTREE | |
| my_table | 1 | zone_score | 1 | zone | A | 217 | NULL | NULL | | BTREE | |
| my_table | 1 | zone_score | 2 | score | A | 23499213 | NULL | NULL | YES | BTREE | |
| my_table | 1 | zone_d_score | 1 | zone | A | 217 | NULL | NULL | | BTREE | |
| my_table | 1 | zone_d_score | 2 | col_d | A | 123355 | NULL | NULL | YES | BTREE | |
| my_table | 1 | zone_d_score | 3 | score | A | 46998427 | NULL | NULL | YES | BTREE | |
| my_table | 1 | zone_lad_score | 1 | zone | A | 217 | NULL | NULL | | BTREE | |
| my_table | 1 | zone_lad_score | 2 | ladder | A | 868 | NULL | NULL | YES | BTREE | |
| my_table | 1 | zone_lad_score | 3 | score | A | 23499213 | NULL | NULL | YES | BTREE | |
+--------------------+------------+-----------------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+
我也有'游戏'分区,共有10个分区。表中总共有约4700万条记录。表定义如下:
my_table | CREATE TABLE `my_table` (
`col_e` bigint(20) NOT NULL,
`zone` bigint(20) NOT NULL,
`score` int(11) DEFAULT NULL,
`game` tinyint(4) DEFAULT NULL,
`ladder` tinyint(4) DEFAULT NULL,
`col_d` int(11) DEFAULT NULL,
`rank` int(11) DEFAULT NULL,
KEY `indx_e` (`col_e`),
KEY `zone_score` (`zone`,`score`),
KEY `zone_d_score` (`zone`,`col_d`,`score`),
KEY `zone_lad_score` (`zone`,`ladder`,`score`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1
/*!50100 PARTITION BY LIST (game)
(PARTITION p1 VALUES IN (1) ENGINE = MyISAM,
PARTITION p2 VALUES IN (2) ENGINE = MyISAM,
PARTITION p3 VALUES IN (3) ENGINE = MyISAM,
PARTITION p4 VALUES IN (4) ENGINE = MyISAM,
PARTITION p5 VALUES IN (5) ENGINE = MyISAM,
PARTITION p6 VALUES IN (6) ENGINE = MyISAM,
PARTITION p7 VALUES IN (7) ENGINE = MyISAM,
PARTITION p8 VALUES IN (8) ENGINE = MyISAM,
PARTITION p9 VALUES IN (9) ENGINE = MyISAM,
PARTITION p10 VALUES IN (10) ENGINE = MyISAM) */
现在,根据MySQL的文档(http://dev.mysql.com/doc/refman/5.0/en/general-thread-states.html),在“初始化”状态的行动包括“刷新二进制日志,InnoDB的日志,以及一些查询缓存清理操作。”好吧...因为我没有使用InnoDB,听起来不像是需要花费很多时间的东西。
我想我想知道为什么这个更新应该使用索引,只影响100个记录会花费这么长时间?特别是在'初始'状态持续这么久会有什么特别的呢?如果我在定位记录上执行选择(select * from my_table where game = 7 and zone = 11 and ladder = 2 order by score limit 100),它几乎立即返回。在该表上执行类似的更新(使用zone_d_score索引)不到一秒钟。什么可能会放慢这个特定的更新?
编辑:增加了表格定义,问题表中所有索引的完整列表,以及重命名的列使事情更容易遵循。
编辑2:这里有最接近更新查询的“解释”:
mysql> explain select * from my_table where game=7 and zone=11 and ladder=2 order by score limit 100;
+----+-------------+--------------------+------+------------------------------------------------+-----------------+---------+-------------+-------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+--------------------+------+------------------------------------------------+-----------------+---------+-------------+-------+-------------+
| 1 | SIMPLE | my_table | ref | zone_score,zone_d_score,zone_lad_score | zone_lad_score | 10 | const,const | 53952 | Using where |
+----+-------------+--------------------+------+------------------------------------------------+-----------------+---------+-------------+-------+-------------+
1 row in set (0.00 sec)
尝试创建上为col_a,col_b,col_c一个复合索引。通常,mysql只能在查询中为每个表使用1个索引,所以你不能从3个独立索引中获得全部好处。 – nos 2010-08-16 08:14:33
上面显示的索引*是一个复合索引,按照'show indexes'命令中的'seq_in_index'列。它是通过以下方式创建的:在my_table上创建索引my_index(col_b,col_c,score); – odonnellt 2010-08-16 08:17:05
您能否为相应的SELECT语句发布EXPLAIN以查看哪些索引实际上由where/order子句使用? – Konerak 2010-08-16 08:54:05