mysql查询语法总结
MySQL全面瓦解之查询的过滤条件详解概述
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:
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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:
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select cname1,cname2,... from tname where cname = cval; |
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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:
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select cname1,cname2,... from tname where cname <> cval; 或 select cname1,cname2,... from tname where cname != cval; |
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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:
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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; |
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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:
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select cname1,cname2,... from tname where cname1 operators cval1 and cname2 operators cval2 |
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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:
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select cname1,cname2,... from tname where cname1 operators cval1 or cname2 operators cval2 |
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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:
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select cname1,cname2,... from tname where not (cname operators cval) |
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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。
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select cname1,cname2,... from tname where cname like pattern; |
%的使用
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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:
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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:
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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:
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select cname1,cname2,... from tname where cname in (val1,val2,...); |
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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:
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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。
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select cname1,cname2,... from tname where cname is null ; 或者 select cname1,cname2,... from tname where cname is not null ; |
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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 。
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原文链接:https://www.cnblogs.com/wzh2010/p/13843027.html