咱们上篇文章简略剖析了下InnoDB行锁,文中有提及索引生效时,行锁会降级为表锁,明天咱们这篇文章来聊一聊常见的索引生效的几种状况:
还是和平常一样,咱们先建一张表:
CREATE TABLE `user_info` ( `id` int(11) DEFAULT NULL auto_increment, `name` varchar(255) DEFAULT NULL, `nick` varchar(255) DEFAULT NULL, `sex` char(2), `score` int(3), KEY `idx_id` (`id`), KEY `idx_sex` (`sex`), KEY `idx_name_score_nick` (`name`, `score`, `nick`)) ENGINE=InnoDB DEFAULT CHARSET=utf8
insert into user_info values (1, '杨过', 'yangguo', '1', 90);insert into user_info values (2, '小龙女', 'xiaolongnv', '0', 88);insert into user_info values (3, '黄药师', 'huangyaoshi', '1', 75);insert into user_info values (4, '郭襄', 'guoxiang', '0', 66);insert into user_info values (5, '何足道', 'hezudao', '1', 50);insert into user_info values (6, '独孤求败', 'duguqiubai', '1', 55);insert into user_info values (7, '方东白', 'fangdongbai', '1', 88);insert into user_info values (8, '赵敏', 'zhaomin', '0', 75);insert into user_info values (9, '程灵素', 'chenglingsu','0', 66);
MySQL [wakka]> select * from user_info;+----+--------------+-------------+------+-------+| id | name | nick | sex | score |+----+--------------+-------------+------+-------+| 1 | 杨过 | yangguo | 1 | 90 || 2 | 小龙女 | xiaolongnv | 0 | 88 || 3 | 黄药师 | huangyaoshi | 1 | 75 || 4 | 郭襄 | guoxiang | 0 | 66 || 5 | 何足道 | hezudao | 1 | 50 || 6 | 独孤求败 | duguqiubai | 1 | 55 || 7 | 方东白 | fangdongbai | 1 | 88 || 8 | 赵敏 | zhaomin | 0 | 75 || 9 | 程灵素 | chenglingsu | 0 | 66 |+----+--------------+-------------+------+-------+9 rows in set (0.00 sec)
索引生效的第一种常见状况:对字段进行运算,比方对name字段截取操作
MySQL [wakka]> explain select * from user_info where name = '程灵素'; #name字段本来有索引+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------+------+----------+-------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------+------+----------+-------+| 1 | SIMPLE | user_info | NULL | ref | idx_name_score_nick | idx_name_score_nick | 768 | const | 1 | 100.00 | NULL |+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------+------+----------+-------+1 row in set, 1 warning (0.00 sec)MySQL [wakka]> explain select * from user_info where substr(name, 2, 2) = '灵素'; #对name字段进行运算+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+| 1 | SIMPLE | user_info | NULL | ALL | NULL | NULL | NULL | NULL | 9 | 100.00 | Using where |+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+1 row in set, 1 warning (0.00 sec)
索引生效的第二种常见状况:范畴查问左边的列不可能应用索引
MySQL [wakka]> explain select * from user_info where name = '郭襄' and score = 66 and nick = 'guoxiang'; #索引用到了name,score,nick三个字段+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------------------+------+----------+-------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------------------+------+----------+-------+| 1 | SIMPLE | user_info | NULL | ref | idx_name_score_nick | idx_name_score_nick | 1541 | const,const,const | 1 | 100.00 | NULL |+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------------------+------+----------+-------+1 row in set, 1 warning (0.00 sec)MySQL [wakka]> explain select * from user_info where name = '郭襄' and score < 80 and nick = 'guoxiang'; #索引用到了name,score两个字段,nick没用到索引,范畴查问之后的字段用不到索引+----+-------------+-----------+------------+-------+---------------------+---------------------+---------+------+------+----------+-----------------------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+-------+---------------------+---------------------+---------+------+------+----------+-----------------------+| 1 | SIMPLE | user_info | NULL | range | idx_name_score_nick | idx_name_score_nick | 773 | NULL | 1 | 11.11 | Using index condition |+----+-------------+-----------+------------+-------+---------------------+---------------------+---------+------+------+----------+-----------------------+1 row in set, 1 warning (0.00 sec)MySQL [wakka]> explain select * from user_info where name = '郭襄' and score = 66;+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------------+------+----------+-------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------------+------+----------+-------+| 1 | SIMPLE | user_info | NULL | ref | idx_name_score_nick | idx_name_score_nick | 773 | const,const | 1 | 100.00 | NULL |+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------------+------+----------+-------+1 row in set, 1 warning (0.00 sec)#咱们能够看到第二个SQL的key_len和第三个SQL的key len一样长度
索引生效的第三种常见状况:数值型字符字段没有用引号
MySQL [wakka]> explain select * from user_info where sex = '0';+----+-------------+-----------+------------+------+---------------+---------+---------+-------+------+----------+-------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+------+---------------+---------+---------+-------+------+----------+-------+| 1 | SIMPLE | user_info | NULL | ref | idx_sex | idx_sex | 7 | const | 4 | 100.00 | NULL |+----+-------------+-----------+------------+------+---------------+---------+---------+-------+------+----------+-------+1 row in set, 1 warning (0.00 sec)MySQL [wakka]> explain select * from user_info where sex = 0; #这样做,相当于字段做了一层隐式类型转换,后面咱们第一点说过,如果字段进行运算,则索引还小+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+| 1 | SIMPLE | user_info | NULL | ALL | idx_sex | NULL | NULL | NULL | 9 | 11.11 | Using where |+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+1 row in set, 3 warnings (0.00 sec)
索引生效的第四种常见状况:or分隔的条件,如果or后面的列有索引,or前面的列没索引,则波及的索引都生效
MySQL [wakka]> select * from user_info where name = '方东白' or nick = 'xiaolongnv';+----+-----------+-------------+------+-------+| id | name | nick | sex | score |+----+-----------+-------------+------+-------+| 2 | 小龙女 | xiaolongnv | 0 | 88 || 7 | 方东白 | fangdongbai | 1 | 88 |+----+-----------+-------------+------+-------+2 rows in set (0.00 sec)MySQL [wakka]> explain select * from user_info where name = '方东白' or nick = 'xiaolongnv';+----+-------------+-----------+------------+------+---------------------+------+---------+------+------+----------+-------------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+------+---------------------+------+---------+------+------+----------+-------------+| 1 | SIMPLE | user_info | NULL | ALL | idx_name_score_nick | NULL | NULL | NULL | 9 | 20.99 | Using where |+----+-------------+-----------+------------+------+---------------------+------+---------+------+------+----------+-------------+1 row in set, 1 warning (0.00 sec)
索引生效的第五种常见状况:like %结尾
MySQL [wakka]> explain select * from user_info where name like '%白';+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+| 1 | SIMPLE | user_info | NULL | ALL | NULL | NULL | NULL | NULL | 9 | 11.11 | Using where |+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+1 row in set, 1 warning (0.00 sec)
相同,如果like 后缀%的话,是能够用到索引的
MySQL [wakka]> explain select * from user_info where name like '杨%';+----+-------------+-----------+------------+-------+---------------------+---------------------+---------+------+------+----------+-----------------------+| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |+----+-------------+-----------+------------+-------+---------------------+---------------------+---------+------+------+----------+-----------------------+| 1 | SIMPLE | user_info | NULL | range | idx_name_score_nick | idx_name_score_nick | 768 | NULL | 1 | 100.00 | Using index condition |+----+-------------+-----------+------------+-------+---------------------+---------------------+---------+------+------+----------+-----------------------+1 row in set, 1 warning (0.00 sec)
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