前情提要

mysql中的模糊检索方法，总结了有以下几种，下面我们来简单介绍一下

-- 创建表

mysql> create table if not exists wuxia(

-> id int unsigned auto_increment,

-> name varchar(10) not null,

-> primary key (id)

-> );

Query OK, 0 rows affected, 1 warning (0.00 sec)

mysql> show tables;

+----------------+

| Tables_in_test |

+----------------+

| wuxia |

+----------------+

1 row in set (0.00 sec)

-- 插入数据

mysql> insert into wuxia (name) values ('小龙女'),('小高'),('卓东来'),('陆小凤');

Query OK, 4 rows affected (0.00 sec)

Records: 4 Duplicates: 0 Warnings: 0

-- 查询表

mysql> select * from wuxia;

+----+-----------+

| id | name |

+----+-----------+

| 13 | 小龙女 |

| 14 | 小高 |

| 15 | 卓东来 |

| 16 | 陆小凤 |

+----+-----------+

4 rows in set (0.00 sec)

1.LOCATE(substr,str) ：

substr 检索条件；str column(字段)；

演示结果

mysql> select * from wuxia where locate('龙', name);

+----+-----------+

| id | name |

+----+-----------+

| 4 | 小龙女 |

+----+-----------+

2.INSTR(str,substr)

str column(字段)；substr 检索条件；

演示结果

mysql> select * from wuxia where instr(name, '龙');

+----+-----------+

| id | name |

+----+-----------+

| 4 | 小龙女 |

+----+-----------+

1 row in set (0.00 sec)

3.POSITION(substr IN str)

substr 检索条件；str column(字段)；

演示结果

mysql> select * from wuxia where position('龙' in name);

+----+-----------+

| id | name |

+----+-----------+

| 4 | 小龙女 |

+----+-----------+

1 row in set (0.00 sec)

4.REGEXP 正则

使用格式为“str REGEXP str_part”，当str字符串中含有str_pat相匹配的字符串时，则返回值1，否则返回0; column regexp '条件'

演示结果

mysql> select * from wuxia where name regexp '小';

+----+-----------+

| id | name |

+----+-----------+

| 4 | 小龙女 |

| 5 | 小高 |

| 7 | 陆小凤 |

+----+-----------+

3 rows in set (0.01 sec)

5.LIKE

column like '%条件%',这种类似方式是我们最常见常用的

演示结果

mysql> select * from wuxia where name like concat('陆', '%');

+----+-----------+

| id | name |

+----+-----------+

| 7 | 陆小凤 |

+----+-----------+

1 row in set (0.00 sec)