MySQL分区字段列有必要再单独建索引吗？

程序员文章站 2022-03-07 15:02:24

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大家都知道对于分区字段必须是主键的一部分，那么建了复合主键之后，是否需要对分许字段再单独添加一个索引呢？有没有效果？本文主要给大家介绍了关于MySQL分区字段列是否有必要再单独建索引的相关资料，文中通过示例进行了验证，对大家的理解和学习具有一定的参考学习价值，需要的朋友们下面随着小编来一起学习学习吧。

1、新建表effect_new(以创建时间按月分区)

CREATE TABLE `effect_new` (
 `id` bigint(20) NOT NULL AUTO_INCREMENT,
 `type` tinyint(4) NOT NULL DEFAULT '0',
 `timezone` varchar(10) DEFAULT NULL,
 `date` varchar(10) NOT NULL,
 `hour` varchar(2) DEFAULT NULL,
 `position` varchar(200) DEFAULT NULL,
 `country` varchar(32) NOT NULL,
 `create_time` datetime NOT NULL DEFAULT '1970-01-01 00:00:00',
 PRIMARY KEY (`id`,`create_time`),
 KEY `index_date_hour_coun` (`date`,`hour`,`country`)
) ENGINE=InnoDB AUTO_INCREMENT=983041 DEFAULT CHARSET=utf8
PARTITION BY RANGE (TO_DAYS (`create_time`))
(PARTITION p0 VALUES LESS THAN (736754) ENGINE = InnoDB,
 PARTITION p1 VALUES LESS THAN (736785) ENGINE = InnoDB,
 PARTITION p2 VALUES LESS THAN (736815) ENGINE = InnoDB,
 PARTITION p3 VALUES LESS THAN (736846) ENGINE = InnoDB,
 PARTITION p4 VALUES LESS THAN (736876) ENGINE = InnoDB,
 PARTITION p5 VALUES LESS THAN (736907) ENGINE = InnoDB,
 PARTITION p6 VALUES LESS THAN (736938) ENGINE = InnoDB,
 PARTITION p7 VALUES LESS THAN (736968) ENGINE = InnoDB,
 PARTITION p8 VALUES LESS THAN (736999) ENGINE = InnoDB,
 PARTITION p9 VALUES LESS THAN (737029) ENGINE = InnoDB,
 PARTITION p10 VALUES LESS THAN (737060) ENGINE = InnoDB);

2、插入部分数据数据，

INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('1', '0', 'GMT+8', '2017-07-01', '', 'M-NotiCleanFull-FamilyRecom-0026', '', '2017-07-02 00:07:02');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('2', '1', 'GMT+8', '2017-09-30', '23', 'Ma5dtJub', 'EG', '2017-10-01 00:00:00');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('3', '1', 'GMT+8', '2017-09-10', '10', '28', 'DZ', '2017-09-11 00:08:20');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('4', '1', 'GMT+8', '2017-02-03', '20', '32', 'AD', '2017-02-04 00:00:00');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('5', '0', 'GMT+8', '2017-03-05', '2', NULL, 'AI', '2017-03-06 02:10:00');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('6', '0', 'GMT+8', '2017-09-23', '13', 'M-BrandSplash-S-0038', 'AG', '2017-09-23 13:00:00');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('7', '1', NULL, '2017-10-13', '12', 'BB-Main-AppAd-0018', 'AF', '2017-10-14 12:00:00');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('8', '0', 'GMT+8', '2017-10-28', '2', 'M-ChargeReminder-S-0040', 'AE', '2017-10-29 00:00:00');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('9', '1', 'GMT+8', '2017-10-09', NULL, '30', 'AI', '2017-10-10 00:09:00');
INSERT INTO `effect_new` (`id`, `type`, `timezone`, `date`, `hour`, `position`, `country`, `create_time`) VALUES ('10', '0', 'GMT+8', '2017-10-05', '5', ' M-BrandSplash', 'LA', '2017-10-06 05:10:00');

3、分析语句

EXPLAIN PARTITIONS
select * from effect_new_index
where create_time = '2017-10-14 12:00:00'

结果为：

id	select_type	table	partitions	tpye	possible_keys	key	key_len	ref	rows	filtered	extra
1	SIMPLE	effect_new	p8	ALL	null	null	null	null	391515	10	Using where

4、给表effect_new添加索引idx_ctime

5、分析添加索引后的执行计划

结果为：

id	select_type	table	partitions	tpye	possible_keys	key	key_len	ref	rows	filtered	extra
1	SIMPLE	effect_new	p8	ref	idx_ctime	idx_ctime	5	const	60760	100	null

6、结论：

虽然表已经根据此字段分区，但这不能等同于索引。分了区，只能说该字段为某个值的记录会在某个分区里面，但不是索引，还要一顿好找。

有时候，主键不等于分区依据列，这时候主键又想建聚集索引的话，那么必须包含分区依据列，搞成复合主键。那么，这种情况下，分区依据列不就有索引了吗？是的，可是它不够快，如果在这个复合索引里面，分区依据列不排在第一位，就不够快，如果查找语句里常常用分区依据列作为过滤条件，就有必要为分区依据列额外单独建立一个索引。