以联合索引(a,b,c)为例

  • 建立这样的索引相当于建立了索引a、ab、abc三个索引。一个索引顶三个索引当然是好事,毕竟每多一个索引,都会增加写操作的开销和磁盘空间的开销。
  • 覆盖(动词)索引。同样的有联合索引(a,b,c),如果有如下的sql: select a,b,c from table where a=xxx and b = xxx。那么MySQL可以直接通过遍历索引取得数据,而无需读表,这减少了很多的随机io操作。减少io操作,特别的随机io其实是dba主要的优化策略。所以,在真正的实际应用中,覆盖索引是主要的提升性能的优化手段之一
  • 索引列越多,通过索引筛选出的数据越少。有1000W条数据的表,有如下sql:select * from table where a = 1 and b =2 and c = 3,假设每个条件可以筛选出10%的数据,如果只有单值索引,那么通过该索引能筛选出1000W*10%=100w 条数据,然后再回表从100w条数据中找到符合b=2 and c= 3的数据,然后再排序,再分页;如果是复合索引,通过索引筛选出1000w *10% *10% *10%=1w,然后再排序、分页,哪个更高效,一眼便知

1. 示例表结构

 

CREATE TABLE `test_user` (
  `name`     varchar(20) DEFAULT NULL,
  `province` int(11)     DEFAULT NULL,
  `sex`      varchar(20) DEFAULT NULL,
  `birthday` int(11)     DEFAULT NULL,
  `phone`    double      DEFAULT NULL
)
  ENGINE = InnoDB
  DEFAULT CHARSET = utf8;

CREATE INDEX test_user_name_phone_province_index
  ON test_user (name, phone, province);

2. 执行计划说明

以下全部详细解析explain各个属性含义:

 

+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------+------+----------+-------+
| id | select_type | table     | partitions | type | possible_keys                       | key                                 | key_len | ref   | rows | filtered | Extra |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------+------+----------+-------+

各属性含义:

  • id: 查询的序列号
  • select_type: 查询的类型,主要是区别普通查询和联合查询、子查询之类的复杂查询
  • SIMPLE:查询中不包含子查询或者UNION
  • 查询中若包含任何复杂的子部分,最外层查询则被标记为:PRIMARY
  • 在SELECT或WHERE列表中包含了子查询,该子查询被标记为:SUBQUERY
  • table: 输出的行所引用的表
  • type: 访问类型
  • ALL: 扫描全表
  • index: 扫描全部索引树
  • range: 扫描部分索引,索引范围扫描,对索引的扫描开始于某一点,返回匹配值域的行,常见于between、<、>等的查询
  • ref: 使用非唯一索引或非唯一索引前缀进行的查找
  • (eq_ref和const的区别:)
  • eq_ref:唯一性索引扫描,对于每个索引键,表中只有一条记录与之匹配。常见于主键或唯一索引扫描
  • const, system: 单表中最多有一个匹配行,查询起来非常迅速,例如根据主键或唯一索引查询。system是const类型的特例,当查询- 的表只有一行的情况下, 使用system。
  • NULL: 不用访问表或者索引,直接就能得到结果,如select 1 from test where 1
  • key: 显示MySQL实际决定使用的索引。如果没有索引被选择,是NULL
  • key_len: 使用到索引字段的长度
    注:key_len显示的值为索引字段的最大可能长度,并非实际使用长度,即key_len是根据表定义计算而得,不是通过表内检索出的。
  • ref: 显示哪个字段或常数与key一起被使用
  • rows: 这个数表示mysql要遍历多少数据才能找到,表示MySQL根据表统计信息及索引选用情况,估算的找到所需的记录所需要读取的行数,在innodb上可能是不准确的
  • Extra: 执行情况的说明和描述。包含不适合在其他列中显示但十分重要的额外信息。
  • Using index:表示使用索引,如果只有 Using index,说明他没有查询到数据表,只用索引表就完成了这个查询,这个叫覆盖索引。
  • Using where:表示条件查询,如果不读取表的所有数据,或不是仅仅通过索引就可以获取所有需要的数据,则会出现 Using where。

3. 执行计划分析

 

mysql> explain select *
    ->         from test_user
    ->         where name = '张三';
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------+------+----------+-------+
| id | select_type | table     | partitions | type | possible_keys                       | key                                 | key_len | ref   | rows | filtered | Extra |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------+------+----------+-------+
|  1 | SIMPLE      | test_user | NULL       | ref  | test_user_name_phone_province_index | test_user_name_phone_province_index | 63      | const |   11 |   100.00 | NULL  |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.01 sec)

使用了一个const

 

mysql> explain select *
    ->         from test_user
    ->         where phone = '13546294373';
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
| id | select_type | table     | partitions | type | possible_keys | key  | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
|  1 | SIMPLE      | test_user | NULL       | ALL  | NULL          | NULL | NULL    | NULL | 4753980 |    10.00 | Using where |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

全表扫描

 

mysql> explain select *
    ->         from test_user
    ->         where province = '532130';
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
| id | select_type | table     | partitions | type | possible_keys | key  | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
|  1 | SIMPLE      | test_user | NULL       | ALL  | NULL          | NULL | NULL    | NULL | 4753980 |    10.00 | Using where |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

全表扫描

 

mysql> explain select *
    ->         from test_user
    ->         where phone = '13546294373';
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
| id | select_type | table     | partitions | type | possible_keys | key  | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
|  1 | SIMPLE      | test_user | NULL       | ALL  | NULL          | NULL | NULL    | NULL | 4753980 |    10.00 | Using where |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

全表扫描

 

mysql> explain select *
    ->         from test_user
    ->         where province = '532130';
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
| id | select_type | table     | partitions | type | possible_keys | key  | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
|  1 | SIMPLE      | test_user | NULL       | ALL  | NULL          | NULL | NULL    | NULL | 4753980 |    10.00 | Using where |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

全表扫描

 

mysql> explain select *
    ->         from test_user
    ->         where name = '张三' and province = '532130';
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------+------+----------+-----------------------+
| id | select_type | table     | partitions | type | possible_keys                       | key                                 | key_len | ref   | rows | filtered | Extra                 |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------+------+----------+-----------------------+
|  1 | SIMPLE      | test_user | NULL       | ref  | test_user_name_phone_province_index | test_user_name_phone_province_index | 63      | const |   11 |    10.00 | Using index condition |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------+------+----------+-----------------------+
1 row in set, 1 warning (0.00 sec)

使用了一个const

 

mysql> explain select *
    ->         from test_user
    ->         where name = '张三' and phone = '13546294373';
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------------+------+----------+-------+
| id | select_type | table     | partitions | type | possible_keys                       | key                                 | key_len | ref         | rows | filtered | Extra |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------------+------+----------+-------+
|  1 | SIMPLE      | test_user | NULL       | ref  | test_user_name_phone_province_index | test_user_name_phone_province_index | 72      | const,const |    1 |   100.00 | NULL  |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------------+------+----------+-------+
1 row in set, 1 warning (0.00 sec)

使用了两个const

 

mysql> explain select *
    ->         from test_user
    ->         where  phone = '13546294373' and province = '532130';
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
| id | select_type | table     | partitions | type | possible_keys | key  | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
|  1 | SIMPLE      | test_user | NULL       | ALL  | NULL          | NULL | NULL    | NULL | 4753980 |     1.00 | Using where |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

全表扫描

 

mysql> explain select *
    ->         from test_user
    ->         where     province = '532130' and phone = '13546294373';
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
| id | select_type | table     | partitions | type | possible_keys | key  | key_len | ref  | rows    | filtered | Extra       |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
|  1 | SIMPLE      | test_user | NULL       | ALL  | NULL          | NULL | NULL    | NULL | 4753980 |     1.00 | Using where |
+----+-------------+-----------+------------+------+---------------+------+---------+------+---------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

全表扫描

 

mysql> explain select *
    ->         from test_user
    ->         where name = '张三' and phone = '13546294373'  and province = '532130';
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------------------+------+----------+-------+
| id | select_type | table     | partitions | type | possible_keys                       | key                                 | key_len | ref               | rows | filtered | Extra |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------------------+------+----------+-------+
|  1 | SIMPLE      | test_user | NULL       | ref  | test_user_name_phone_province_index | test_user_name_phone_province_index | 77      | const,const,const |    1 |   100.00 | NULL  |
+----+-------------+-----------+------------+------+-------------------------------------+-------------------------------------+---------+-------------------+------+----------+-------+
1 row in set, 1 warning (0.00 sec)

使用了到了 三个const

4. 现象总结

对于联合索引

 

CREATE INDEX test_user_name_phone_province_index
  ON test_user (name, phone, province);

在查询中我们能用到的索引的是

  • name
  • name phone
  • name phone province

对于其他顺序,或者其他字段我们不能使用该联合索引,这个就是mysql联合索引原则