Question

我正在对MySQL表（myisam引擎）执行更新，根据分析器，它在'init'状态下花费了过多的时间：

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

我在'where'和'order by'子句中列出的所有列上都有一个复合索引（请参阅下面名为'zone_lad_score'的索引）：

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      |         |
+--------------------+------------+-----------------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+

我还在“游戏”上划分了表格，共有10个分区。表中总共有大约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文档（http://dev.mysql.com/doc/refman/5.0/en/general-thread-states.html），“init”状态下的操作包括“刷新二进制日志，InnoDB日志和一些查询缓存清理操作”。好的...所以既然我没有使用InnoDB，听起来不像任何需要花费很多时间的东西。

我想我想知道为什么这个应该使用索引的更新，只影响100条记录需要这么长时间？特别是在'init'状态持续这么长时间？如果我对目标记录执行选择（从my_table中选择*，其中game = 7且zone = 11，ladder = 2则按分数限制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）只需不到一秒钟。什么可能会减慢这个特定的更新？

编辑：添加了表格定义，相关表格中所有索引的完整列表，并重命名了列，使事情更容易理解。

编辑2：以下是最接近更新的查询的“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)

Answer 1

经过一些实验，我在表上添加了一个索引，其中还包括我对表进行分区的列：

CREATE INDEX game_zone_ladder_score ON my_table(game,zone,ladder,score)

突然UPDATE的表现要好得多（亚秒级）。我希望UPDATE像SELECT一样利用分区，但显然不是。

在UPDATE期间，仍然想知道MySQL在'init'状态期间究竟在做什么，和/或为什么UPDATE不尊重分区。

Answer 2

如果使用分区，则需要分区列必须出现在主键中。（靠近底部的子弹点）

http://dev.mysql.com/tech-resources/articles/mysql_5.1_partitions.html

MySQL Query：长时间处于'init'状态

2 个答案: