mysql to days 索引_Mysql索引
高性能的索引策略
1 独立的列
“独立的列”：索引列不能是表达式的一部分，也不能是参数的参数，必须将索引列单独放在比较符号的一侧
mysql> select actor_id from sakila.actor where actore_id + 1 = 5;【X】
mysql> select ... where to_days(current_date) - to_days(date_col) <= 10;【X】
2 前缀索引和索引选择性
有时候需要索引很长的字符串列，但这样会让索引变得很大且慢。这时候需要索引字符串列的一部分字符串，这样可以大大节约索引空间，从而提高索引效率，但是这样有可能降低索引的选择性。
【索引选择性：不重复的索引值(基数)和数据表的记录总数(#T)的比值，范围从1/#T 到 1 之间，索引选择性越高，查询效率越高，因为选择性高的索引可以让mysql过滤掉更多的行】
我们需要通过特定的方法确认，当前缀索引长度为N时，这N个字符的选择性已经接近整个字段的选择性，如下面例子所示，当N为7时，再增加前缀长度，选择性的增加已经很小。
select
count(distinct left(city,3))/count(*) as sel3,
count(distinct left(city,4))/count(*) as sel4,
count(distinct left(city,5))/count(*) as sel5,
count(distinct left(city,6))/count(*) as sel6,
count(distinct left(city,7))/count(*) as sel7
from sakila.city;
+--------+--------+--------+--------+--------+
| sel3 | sel4 | sel5 | sel6 | sel7 |
+--------+--------+--------+--------+--------+
| 0.7633 | 0.9383 | 0.9750 | 0.9900 | 0.9933 |
+--------+--------+--------+--------+--------+
增加前缀索引：mysql> alter table sakila.city add key(city(7));
-- 原始ddl，city字段上没有索引
CREATE TABLE `city` (
`city_id` smallint(5) unsigned NOT NULL AUTO_INCREMENT,
`city` varchar(50) NOT NULL,
`country_id` smallint(5) unsigned NOT NULL,
`last_update` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`city_id`),
KEY `idx_fk_country_id` (`country_id`),
KEY `city` (`city`(7)),
CONSTRAINT `fk_city_country` FOREIGN KEY (`country_id`) REFERENCES `country` (`country_id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=601 DEFAULT CHARSET=utf8mb4
-- 查询的执行计划
mysql> explain select * from city where city = ‘Ahmadnagar‘;
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+
| 1 | SIMPLE | city | NULL | ALL | NULL | NULL | NULL | NULL | 600 | 10.00 | Using where |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+
1 row in set, 1 warning (0.00 sec)
-- 增加city字段索引后的ddl
CREATE TABLE `city` (
`city_id` smallint(5) unsigned NOT NULL AUTO_INCREMENT,
`city` varchar(50) NOT NULL,
`country_id` smallint(5) unsigned NOT NULL,
`last_update` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`city_id`),
KEY `idx_fk_country_id` (`country_id`),
KEY `city` (`city`(7)),
CONSTRAINT `fk_city_country` FOREIGN KEY (`country_id`) REFERENCES `country` (`country_id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=601 DEFAULT CHARSET=utf8mb4
-- 查询的执行计划，查询已经可以走上索引了。
mysql> explain select * from city where city = ‘Ahmadnagar‘;
+----+-------------+-------+------------+------+---------------+------+---------+-------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+------+---------+-------+------+----------+-------------+
| 1 | SIMPLE | city | NULL | ref | city | city | 30 | const | 1 | 100.00 | Using where |
+----+-------------+-------+------------+------+---------------+------+---------+-------+------+----------+-------------+
1 row in set, 1 warning (0.00 sec)
前缀索引是一种能让索引更小、更快的方法，但是也有缺点：
无法使用前缀索引做order by 和 group by
无法使用前缀索引做覆盖扫描
3 多列索引
CREATE TABLE `film_actor_test` (
`actor_id` smallint(5) unsigned NOT NULL,
`film_id` smallint(5) unsigned NOT NULL,
`last_update` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
KEY `actor_id` (`actor_id`),
KEY `film_id` (`film_id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1
mysql> explain select film_id,actor_id from sakila.film_actor_test where actor_id = 1 or film_id = 1 \G;
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: film_actor_test
partitions: NULL
type: index_merge
possible_keys: actor_id,film_id
key: actor_id,film_id
key_len: 2,2
ref: NULL
rows: 29
filtered: 100.00
Extra: Using union(actor_id,film_id); Using where
1 row in set, 1 warning (0.00 sec)