概述
在实际的业务场景应用中,我们经常要根据业务条件获取并筛选出我们的目标数据。这个过程我们称之为数据查询的过滤。而过滤过程使用的各种条件(比如日期时间、用户、状态)是我们获取精准数据的必要步骤,
这样才能得到我们期望的结果。所以本章我们来学习MySQL中查询过滤条件的各种用法。
关系运算
关系运算就是where语句后跟上一个或者n个条件,满足where后面条件的数据会被返回,反之不满足的就会被过滤掉。operators指的是运算符 ,有如下几种情况:
运算符
说明
=
等于
<> 或者 !=
不等于
>
大于
>=
大于等于
<
小于
<=
小于等于
关系运算基本的语法格式如下:
select cname1,cname2,... from tname where cname operators cval
等于=
查询出 列和后面的值严格相等的数据,非值类型的需要对后面值加上引号,值类型的不需要。
语法格式如下:
select cname1,cname2,... from tname where cname = cval;
mysql> select * from user2; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | +----+-------+-----+----------+-----+ 3 rows in set mysql> select * from user2 where name='helen'; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 2 | helen | 20 | quanzhou | 0 | +----+-------+-----+----------+-----+ 1 row in set mysql> select * from user2 where age=21; +----+-------+-----+---------+-----+ | id | name | age | address | sex | +----+-------+-----+---------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 3 | sol | 21 | xiamen | 0 | +----+-------+-----+---------+-----+ 2 rows in set
不等于(<>、!=)
不等于有两种写法,一种是<>,另一种是!=,意思一样,可随意切换使用,但是 <> 先于 != 出现,所以看很多以前的例子,<> 出现频率比较高,可移植性更强,推荐使用。
不等于的目的是查询出与条件不符和结果,格式如下:
select cname1,cname2,... from tname where cname <> cval; 或 select cname1,cname2,... from tname where cname != cval;
mysql> select * from user2; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | +----+-------+-----+----------+-----+ 3 rows in set mysql> select * from user2 where age<>20; +----+-------+-----+---------+-----+ | id | name | age | address | sex | +----+-------+-----+---------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 3 | sol | 21 | xiamen | 0 | +----+-------+-----+---------+-----+ 2 rows in set
大于小于(> <)
一般用于数值或者日期、时间类型的比较,格式如下:
select cname1,cname2,... from tname where cname > cval; select cname1,cname2,... from tname where cname < cval; select cname1,cname2,... from tname where cname >= cval; select cname1,cname2,... from tname where cname <= cval;
mysql> select * from user2 where age>20; +----+-------+-----+---------+-----+ | id | name | age | address | sex | +----+-------+-----+---------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 3 | sol | 21 | xiamen | 0 | +----+-------+-----+---------+-----+ 2 rows in set mysql> select * from user2 where age>=20; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | +----+-------+-----+----------+-----+ 3 rows in set mysql> select * from user2 where age<21; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 2 | helen | 20 | quanzhou | 0 | +----+-------+-----+----------+-----+ 1 row in set mysql> select * from user2 where age<=21; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | +----+-------+-----+----------+-----+ 3 rows in set
逻辑运算
运算符
说明
AND
多个条件都成立
OR
多个条件中满足一个
NOT
对条件进行取非操作
AND(且)
当需要多个条件进行数据过滤的时候,使用这种方式,and的每个表达式都是要成立,过滤出来的数据就是用户需要的。
下面过滤出年龄和性别两个条件都成立的数据,语法格式如下:
select cname1,cname2,... from tname where cname1 operators cval1 and cname2 operators cval2
mysql> select * from user2; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | +----+-------+-----+----------+-----+ 4 rows in set mysql> select * from user2 where age >20 and sex=1; +----+-------+-----+---------+-----+ | id | name | age | address | sex | +----+-------+-----+---------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 4 | weng | 33 | guizhou | 1 | +----+-------+-----+---------+-----+ 2 rows in set
OR(或)
当多个条件中只要满足一个条件即进行数据过滤。
下面条件过滤出年龄大于21岁和小于21岁的数据,语法格式如下:
select cname1,cname2,... from tname where cname1 operators cval1 or cname2 operators cval2
mysql> select * from user2; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | +----+-------+-----+----------+-----+ 4 rows in set mysql> select * from user2 where age>21 or age<21; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 2 | helen | 20 | quanzhou | 0 | | 4 | weng | 33 | guizhou | 1 | +----+-------+-----+----------+-----+ 2 rows in set
NOT(取非)
对某个满足的条件进行取反,过滤出来的数据就是用户需要的。
下面过滤不属于年龄大于20的数据,语法格式如下:
select cname1,cname2,... from tname where not(cname operators cval)
mysql> select * from user2; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | +----+-------+-----+----------+-----+ 4 rows in set mysql> select * from user2 where not(age>20); +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 2 | helen | 20 | quanzhou | 0 | +----+-------+-----+----------+-----+ 1 row in set
模糊匹配
就像我们上面的那个用户表信息表(包含名称、年龄、地址、性别),当我们要查询名称为s开头的用户时,就可以用到 like 关键字了,他用以模糊匹配数据。
语法格式如下,pattern中可以包含通配符,有两种。%:表示匹配任意一个或n个字符; _:表示匹配任意一个字符。
select cname1,cname2,... from tname where cname like pattern;
%的使用
mysql> select * from user2; +----+--------+-----+----------+-----+ | id | name | age | address | sex | +----+--------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+----------+-----+ 5 rows in set mysql> select * from user2 where name like 's%'; +----+--------+-----+---------+-----+ | id | name | age | address | sex | +----+--------+-----+---------+-----+ | 3 | sol | 21 | xiamen | 0 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+---------+-----+ 2 rows in set
_的使用
mysql> select * from user2; +----+--------+-----+----------+-----+ | id | name | age | address | sex | +----+--------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+----------+-----+ 5 rows in set mysql> select * from user2 where name like 's_l'; +----+------+-----+---------+-----+ | id | name | age | address | sex | +----+------+-----+---------+-----+ | 3 | sol | 21 | xiamen | 0 | +----+------+-----+---------+-----+ 1 row in set
注意点
1、不要过度使用模糊匹配得通配符。如果其他操作符能达到相同的目的,应该使用其他操作符
2、对大体量的表进行模糊匹配的时候尽量不要以%开头,比如 like '%username',这样会执行扫表,效率较慢。尽量明确模糊查找的开头部分,比如 like 'brand%',会先定位到brand开头的数据,效率高很多。
范围值检查
BETWEEN AND(区间查询)
操作符 BETWEEN … AND 会选取介于两个值之间的数据范围,这些值可以是数值、文本或者日期,属于一个闭区间查询。
and 的左边val1 和 右边 val2 分别表示两个临界值,等同于数学公式[val1,val2] ,属于这两个区间的数据会被过滤出来(>=val1 和 <=val2),所以语法格式如下:
selec cname1,cname2,... from tname where cname between val1 and val2; 等同于 selec cname1,cname2,... from tname where cname >= val1 and cname <= val2;
查询年龄在[21,25]之间的数据:
mysql> select * from user2; +----+--------+-----+----------+-----+ | id | name | age | address | sex | +----+--------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+----------+-----+ 5 rows in set mysql> select * from user2 where age between 21 and 25; +----+--------+-----+---------+-----+ | id | name | age | address | sex | +----+--------+-----+---------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 3 | sol | 21 | xiamen | 0 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+---------+-----+ 3 rows in set mysql> select * from user2 where age >= 21 and age <= 25; +----+--------+-----+---------+-----+ | id | name | age | address | sex | +----+--------+-----+---------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 3 | sol | 21 | xiamen | 0 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+---------+-----+ 3 rows in set
IN(包含查询)
按照上面得数据,如果我们想查出居住地位于福州和厦门得用户数据,应该使用 IN操作符,因为 IN 操作符允许我们在 WHERE 子句中指定多个值,符合这些值中得某一项,既满足条件返回数据。
语法格式如下,in 后面列表的值类型必须一致或兼容,且不支持通配符:
select cname1,cname2,... from tname where cname in (val1,val2,...);
mysql> select * from user2; +----+--------+-----+----------+-----+ | id | name | age | address | sex | +----+--------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+----------+-----+ 5 rows in set mysql> select * from user2 where address in('fuzhou','xiamen'); +----+-------+-----+---------+-----+ | id | name | age | address | sex | +----+-------+-----+---------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 3 | sol | 21 | xiamen | 0 | +----+-------+-----+---------+-----+ 2 rows in set
NOT IN(对包含查询取反)
我们上面已经学习过了not得用户,对not后面执行得表达式进行取反得操作,测试下:
mysql> select * from user2; +----+--------+-----+----------+-----+ | id | name | age | address | sex | +----+--------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+----------+-----+ 5 rows in set mysql> select * from user2 where address not in('fuzhou','quanzhou','xiamen'); +----+--------+-----+---------+-----+ | id | name | age | address | sex | +----+--------+-----+---------+-----+ | 4 | weng | 33 | guizhou | 1 | | 5 | selina | 25 | taiwang | 0 | +----+--------+-----+---------+-----+ 2 rows in set
空值检查
IS NULL/IS NOT NULL
判断是否为空,语法格式如下,这边注意的是,对值为null的数据,各种比较运算符、like、between and、in、not in查询都不起作用,只有is null 能够过滤出来。
select cname1,cname2,... from tname where cname is null; 或者 select cname1,cname2,... from tname where cname is not null;
mysql> select * from user2 where address is null; +----+--------+-----+---------+-----+ | id | name | age | address | sex | +----+--------+-----+---------+-----+ | 5 | selina | 25 | NULL | 0 | +----+--------+-----+---------+-----+ 1 row in set mysql> select * from user2 where address is not null; +----+-------+-----+----------+-----+ | id | name | age | address | sex | +----+-------+-----+----------+-----+ | 1 | brand | 21 | fuzhou | 1 | | 2 | helen | 20 | quanzhou | 0 | | 3 | sol | 21 | xiamen | 0 | | 4 | weng | 33 | guizhou | 1 | +----+-------+-----+----------+-----+ 4 rows in set
有一种关键字 <=>,可以包含对null值得判断,但是目前用的比较少了,有兴趣可以去查查,这边不赘述。
总结
1、like表达式中的%匹配一个到多个任意字符,_匹配一个任意字符
2、空值查询需要使用IS NULL或者IS NOT NULL,其他查询运算符对NULL值无效。即使%通配符可以匹配任何东西,也不能匹配值NULL的数据。
3、建议创建表的时候,表字段不设置空,给字段一个default 默认值。
4、MySQL支持使用NOT对IN 、BETWEEN 和EXISTS子句取反 。
更新日志
- 小骆驼-《草原狼2(蓝光CD)》[原抓WAV+CUE]
- 群星《欢迎来到我身边 电影原声专辑》[320K/MP3][105.02MB]
- 群星《欢迎来到我身边 电影原声专辑》[FLAC/分轨][480.9MB]
- 雷婷《梦里蓝天HQⅡ》 2023头版限量编号低速原抓[WAV+CUE][463M]
- 群星《2024好听新歌42》AI调整音效【WAV分轨】
- 王思雨-《思念陪着鸿雁飞》WAV
- 王思雨《喜马拉雅HQ》头版限量编号[WAV+CUE]
- 李健《无时无刻》[WAV+CUE][590M]
- 陈奕迅《酝酿》[WAV分轨][502M]
- 卓依婷《化蝶》2CD[WAV+CUE][1.1G]
- 群星《吉他王(黑胶CD)》[WAV+CUE]
- 齐秦《穿乐(穿越)》[WAV+CUE]
- 发烧珍品《数位CD音响测试-动向效果(九)》【WAV+CUE】
- 邝美云《邝美云精装歌集》[DSF][1.6G]
- 吕方《爱一回伤一回》[WAV+CUE][454M]