MySQL优化之联合索引
1.表结构
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(root@localhost) [test]> show create table t_demo\G;
*************************** 1. row ***************************
Table: t_demo
Create Table: CREATE TABLE `t_demo` (
`vin` varchar(17) NOT NULL DEFAULT '' COMMENT '底盘号',
`lng` decimal(10,6) DEFAULT NULL COMMENT 'GPS经度',
`lat` decimal(10,6) DEFAULT NULL COMMENT 'GPS纬度',
`gps_time` datetime DEFAULT NULL,
`crmkey` char(36) DEFAULT NULL ,
`veh_model_desc` varchar(30) DEFAULT NULL ,
`veh_series_desc` varchar(30) DEFAULT NULL ,
`update_time` datetime NOT NULL DEFAULT '0000-00-00 00:00:00' ,
PRIMARY KEY (`vin`,`update_time`),
KEY `idx_crmkey` (`crmkey`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
/*!50100 PARTITION BY RANGE (to_days(update_time))
(PARTITION p20160724 VALUES LESS THAN (736535) ENGINE = InnoDB,
PARTITION p20160725_0731 VALUES LESS THAN (736542) ENGINE = InnoDB,
PARTITION p20160801_0807 VALUES LESS THAN (736549) ENGINE = InnoDB,
PARTITION p20160808_0814 VALUES LESS THAN (736556) ENGINE = InnoDB,
PARTITION p20160815_0821 VALUES LESS THAN (736563) ENGINE = InnoDB,
PARTITION p20160822_0828 VALUES LESS THAN (736570) ENGINE = InnoDB,
PARTITION p20160829_0904 VALUES LESS THAN (736577) ENGINE = InnoDB,
PARTITION p20160905_0911 VALUES LESS THAN (736584) ENGINE = InnoDB,
PARTITION p20160912_0918 VALUES LESS THAN (736591) ENGINE = InnoDB,
PARTITION p20160919_0925 VALUES LESS THAN (736598) ENGINE = InnoDB,
PARTITION p20160926_1002 VALUES LESS THAN (736605) ENGINE = InnoDB,
PARTITION p20161003_1009 VALUES LESS THAN (736612) ENGINE = InnoDB,
PARTITION p20161010_1016 VALUES LESS THAN (736619) ENGINE = InnoDB,
PARTITION p20161017_1023 VALUES LESS THAN (736626) ENGINE = InnoDB,
PARTITION p20161024_1030 VALUES LESS THAN (736633) ENGINE = InnoDB,
PARTITION p20161031_1106 VALUES LESS THAN (736640) ENGINE = InnoDB,
PARTITION p20161107_1113 VALUES LESS THAN (736647) ENGINE = InnoDB,
PARTITION p20161114_1120 VALUES LESS THAN (736654) ENGINE = InnoDB,
PARTITION p20161121_1127 VALUES LESS THAN (736661) ENGINE = InnoDB,
PARTITION p20161128_1204 VALUES LESS THAN (736668) ENGINE = InnoDB,
PARTITION p20161205_1211 VALUES LESS THAN (736675) ENGINE = InnoDB,
PARTITION p20161212_1218 VALUES LESS THAN (736682) ENGINE = InnoDB,
PARTITION p20161219_1225 VALUES LESS THAN (736789) ENGINE = InnoDB,
PARTITION p20161226_170101 VALUES LESS THAN (736796) ENGINE = InnoDB) */
1 row in set (0.00 sec)
2.查看执行计划
(root@localhost) [test]> explain partitions SELECT COUNT(1)
-> FROM t_demo tvghg
-> WHERE tvghg.crmkey ='cf71ea00-65ff-4521-b336-fdc13846e2e2'
-> AND tvghg.update_time >= '2016-07-19 06:00:00'
-> AND tvghg.update_time < '2016-07-19 07:00:00'
-> AND (tvghg.veh_series_desc IN ( 'A6', 'A6L'));
+----+-------------+-------+------------+------+---------------+------------+---------+-------+---------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------------+------+---------------+------------+---------+-------+---------+-------------+
| 1 | SIMPLE | tvghg | p20160724 | ref | idx_crmkey | idx_crmkey | 109 | const | 1961366 | Using where |
+----+-------------+-------+------------+------+---------------+------------+---------+-------+---------+-------------+
1 row in set (0.00 sec)
3.查看选择率
(root@localhost) [test]> select count(distinct(crmkey))/count(*) AS selectivity1,count(distinct(update_time))/count(*) AS selectivity2, count(distinct(veh_series_desc))/count(*) AS selectivity3 from t_demo;
+--------------+--------------+--------------+
| selectivity1 | selectivity2 | selectivity3 |
+--------------+--------------+--------------+
| 0.0001 | 0.0000 | 0.0000 |
+--------------+--------------+--------------+
1 row in set (43.95 sec)
select count(distinct(concat(crmkey,update_time)))/count(*) from t_demo;
+------------------------------------------------------+
| count(distinct(concat(crmkey,update_time)))/count(*) |
+------------------------------------------------------+
| 0.0136 |
+------------------------------------------------------+
1 row in set (52.66 sec)
4.查询时间
(root@localhost) [test]> SELECT COUNT(1)
-> FROM t_demo tvghg
-> WHERE tvghg.crmkey ='cf71ea00-65ff-4521-b336-fdc13846e2e2'
-> AND tvghg.update_time >= '2016-07-19 06:00:00'
-> AND tvghg.update_time < '2016-07-19 07:00:00'
-> AND (tvghg.veh_series_desc IN ( 'A6', 'A6L'));
+----------+
| COUNT(1) |
+----------+
| 2695 |
+----------+
1 row in set (3.67 sec)
这里考虑索引怎么创建,涉及到多个字段,需要我们去做判断,查看选择率是我们创建索引的一个很重要的参考。这里的表是一个分区表,按照时间做的分区,查询字段里也包含时间字段,索引创建索引我们肯定要有时间字段的哦。
5.创建索引
(root@localhost) [(none)]> create index idx_tvghg_crmkey_update_time on `test`.`t_demo`(crmkey,update_time);
Query OK, 0 rows affected (4 min 40.21 sec)
Records: 0 Duplicates: 0 Warnings: 0
(root@localhost) [test]> alter table `test`.`t_demo` drop index idx_crmkey;
Query OK, 0 rows affected (1.16 sec)
Records: 0 Duplicates: 0 Warnings: 0
6.查询,查看执行计划
SELECT COUNT(1)
FROM t_demo tvghg
WHERE tvghg.crmkey ='cf71ea00-65ff-4521-b336-fdc13846e2e2'
AND tvghg.update_time >= '2016-07-19 06:00:00'
AND tvghg.update_time < '2016-07-19 07:00:00'
AND (tvghg.veh_series_desc IN ( 'A6', 'A6L'));
+----------+
| COUNT(1) |
+----------+
| 2695 |
+----------+
1 row in set (0.03 sec)
(root@localhost) [test]> explain partitions SELECT COUNT(1)
-> FROM t_demo tvghg
-> WHERE tvghg.crmkey ='cf71ea00-65ff-4521-b336-fdc13846e2e2'
-> AND tvghg.update_time >= '2016-07-19 06:00:00'
-> AND tvghg.update_time < '2016-07-19 07:00:00'
-> AND (tvghg.veh_series_desc IN ( 'A6', 'A6L'));
+----+-------------+-------+------------+-------+------------------------------+------------------------------+---------+------+-------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------------+-------+------------------------------+------------------------------+---------+------+-------+-------------+
| 1 | SIMPLE | tvghg | p20160724 | range | idx_tvghg_crmkey_update_time | idx_tvghg_crmkey_update_time | 114 | NULL | 12446 | Using where |
+----+-------------+-------+------------+-------+------------------------------+------------------------------+---------+------+-------+-------------+
创建索引绝对是一个技术活,在尽量占用少的磁盘空间,创建出合理的索引,还是要多了解业务,知己知彼。在上线前评估好,真的上线了,创建索引对系统也会有不小的影响。
本文题目:MySQL优化之联合索引
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