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MySQL单表查询实例详解_Mysql_
2023-05-27
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简介 MySQL单表查询实例详解_Mysql_
1、准备数据
以下操作将在该表中进行
create table student ( id int unsigned primary key auto_increment, name char(12) not null, gender enum("male","famale") default "male", age tinyint unsigned not null, hoc_group char(12) not null, html tinyint unsigned not null, css tinyint unsigned not null, js tinyint unsigned not null, sanction enum("大处分","小处分","无") ); insert into student(name,gender,age,hoc_group,html,css,js,sanction) values ("Yunya","male",18,"first",88,93,76,"无"), ("Jack","male",17,"second",92,81,88,"无"), ("Bella","famale",17,"first",72,68,91,"小处分"), ("Dairis","famale",18,"third",89,54,43,"大处分"), ("Kyle","famale",19,"fifth",31,24,60,"大处分"), ("Alice","famale",16,"second",49,23,58,"无"), ("Ken","male",16,"third",33,62,17,"大处分"), ("Jason","male",21,"fourth",91,92,90,"无"), ("Tom","male",20,"fifth",88,72,91,"无"), ("Fiona","famale",19,"fourth",60,71,45,"无"); 2、查询语法
SELECT DISTINCT(字段名1,字段名2...) FROM 表名 WHERE 条件 GROUP BY 字段名 HAVING 筛选 ORDER BY 字段名 asc/desc LIMIT 限制条数;
3、执行顺序
虽然查询的书写语法是上面那样的，但是其内部执行顺序却有些不太一样。
1.通过from找到将要查询的表
2.where规定查询条件，在表记录中逐行进行查询并筛选出符合规则的记录
3.将查到的记录进行字段分组group by，如果没有进行分组，则默认为一组
4.将分组得到的结果进行having筛选，可使用聚和函数（where时不可使用聚合函数）
5.执行select准备打印
6.执行distinct对打印结果进行去重
7.执行ordery by对结果进行排序
8.执行limit对打印结果的条数进行限制
4、select
select主要复负责打印相关的工作
4.1 全部查询
使用select * from 表名可拿到该表下全部的数据
以下示例将展示使用全部查询拿到student表中所有记录
select * from student; +----+--------+--------+-----+-----------+------+-----+----+-----------+ | id | name | gender | age | hoc_group | html | css | js | sanction | +----+--------+--------+-----+-----------+------+-----+----+-----------+ | 1 | Yunya | male | 18 | first | 88 | 93 | 76 | 无 | | 2 | Jack | male | 17 | second | 92 | 81 | 88 | 无 | | 3 | Bella | famale | 17 | first | 72 | 68 | 91 | 小处分 | | 4 | Dairis | famale | 18 | third | 89 | 54 | 43 | 大处分 | | 5 | Kyle | famale | 19 | fifth | 31 | 24 | 60 | 大处分 | | 6 | Alice | famale | 16 | second | 49 | 23 | 58 | 无 | | 7 | Ken | male | 16 | third | 33 | 62 | 17 | 大处分 | | 8 | Jason | male | 21 | fourth | 91 | 92 | 90 | 无 | | 9 | Tom | male | 20 | fifth | 88 | 72 | 91 | 无 | | 10 | Fiona | famale | 19 | fourth | 60 | 71 | 45 | 无 | +----+--------+--------+-----+-----------+------+-----+----+-----------+
4.2 字段查询
使用select 字段名1，字段名2 from 表名可拿到特定字段下相应的数据
以下示例将展示使用字段查询拿到每个学生的HTML\CSS\JS成绩
select name,html,css,js from student; +--------+------+-----+----+ | name | html | css | js | +--------+------+-----+----+ | Yunya | 88 | 93 | 76 | | Jack | 92 | 81 | 88 | | Bella | 72 | 68 | 91 | | Dairis | 89 | 54 | 43 | | Kyle | 31 | 24 | 60 | | Alice | 49 | 23 | 58 | | Ken | 33 | 62 | 17 | | Jason | 91 | 92 | 90 | | Tom | 88 | 72 | 91 | | Fiona | 60 | 71 | 45 | +--------+------+-----+----+
4.3 as 别名
使用select 字段名1 as 别名1, 字段名2 as 别名2 from 表名可将查询到的记录字段修改一个别名
以下示例将展示修改name字段为姓名，修改gender字段为性别，修改age字段为年龄的操作
select name as "姓名", gender as "性别", age as "年龄" from student; +--------+--------+--------+ | 姓名 | 性别 | 年龄 | +--------+--------+--------+ | Yunya | male | 18 | | Jack | male | 17 | | Bella | famale | 17 | | Dairis | famale | 18 | | Kyle | famale | 19 | | Alice | famale | 16 | | Ken | male | 16 | | Jason | male | 21 | | Tom | male | 20 | | Fiona | famale | 19 | +--------+--------+--------+
4.4 distinct
使用select distinct(字段名1, 字段名2) from 表名可将查询到的记录做一个取消重复的操作
以下示例将展示使用去重功能来看有多少个小组
select distinct(hoc_group) from student; +-----------+ | hoc_group | +-----------+ | first | | second | | third | | fifth | | fourth | +-----------+
4.5 四则运算
查询结果可进行四则运算，以下示例将展示拿到每个同学三科总分的操作
select name, html+css+js as 总成绩 from student; +--------+-----------+ | name | 总成绩 | +--------+-----------+ | Yunya | 257 | | Jack | 261 | | Bella | 231 | | Dairis | 186 | | Kyle | 115 | | Alice | 130 | | Ken | 112 | | Jason | 273 | | Tom | 251 | | Fiona | 176 | +--------+-----------+
4.6 显示格式
使用concat()可将查询结果与任意字符串进行拼接
使用concat_ws()可指定连接符进行拼接，第一个参数是连接符
select concat("姓名->",name," ","性别->",gender) from student; # 合并成了一个字符串，注意用的空格分隔开的，不然会黏在一起 +--------------------------------------------------+ | concat("姓名->",name," ","性别->",gender) | +--------------------------------------------------+ | 姓名->Yunya 性别->male | | 姓名->Jack 性别->male | | 姓名->Bella 性别->famale | | 姓名->Dairis 性别->famale | | 姓名->Kyle 性别->famale | | 姓名->Alice 性别->famale | | 姓名->Ken 性别->male | | 姓名->Jason 性别->male | | 姓名->Tom 性别->male | | 姓名->Fiona 性别->famale | +--------------------------------------------------+ select concat_ws("|||",name,gender,age) from student; # 使用|||为每个字段进行分割 +----------------------------------+ | concat_ws("|||",name,gender,age) | +----------------------------------+ | Yunya|||male|||18 | | Jack|||male|||17 | | Bella|||famale|||17 | | Dairis|||famale|||18 | | Kyle|||famale|||19 | | Alice|||famale|||16 | | Ken|||male|||16 | | Jason|||male|||21 | | Tom|||male|||20 | | Fiona|||famale|||19 | +----------------------------------+ 5、where
where条件是查询的第一道坎，能有效过滤出我们想要的任意数据
5.1、比较运算
使用比较运算符>< >= <= !=进行查询
以下示例将展示使用where过滤出js成绩大于80分的同学
select name, js from student where js > 80; +-------+----+ | name | js | +-------+----+ | Jack | 88 | | Bella | 91 | | Jason | 90 | | Tom | 91 | +-------+----+
5.2、逻辑运算
使用and or not可进行逻辑运算与多条件查询
以下示例将展示使用where多条件查询过滤出各科成绩都大于80分的同学
select name, html, css, js from student where html > 80 and css > 80 and js > 80; +-------+------+-----+----+ | name | html | css | js | +-------+------+-----+----+ | Jack | 92 | 81 | 88 | | Jason | 91 | 92 | 90 | +-------+------+-----+----+
5.3、成员运算
in可以在特定的值中进行获取，如in(80,90,100)则代表只取80或者90或者100的这几条记录。
以下示例将展示只取第一组first以及第二组second学生的个人信息
select name, gender, age, hoc_group from student where hoc_group in ("first","second"); +-------+--------+-----+-----------+ | name | gender | age | hoc_group | +-------+--------+-----+-----------+ | Yunya | male | 18 | first | | Jack | male | 17 | second | | Bella | famale | 17 | first | | Alice | famale | 16 | second | +-------+--------+-----+-----------+ 5.4、between and
between and也是取区间的意思，
以下示例将展示使用between and过滤出Js成绩大于等于60并且小于80的同学
select name, js from student where js between 60 and 80; +-------+----+ | name | js | +-------+----+ | Yunya | 76 | | Kyle | 60 | +-------+----+
5.5、like
like是模糊查询，其中%代表任意多个字符（类似于贪婪匹配的通配符.*），_代表任意一个字符（类似于非贪婪匹配的通配符.*?）。
以下示例将展示使用like/%匹配出姓名以k开头的所有同学的名字
select name from student where name like "k%"; +------+ | name | +------+ | Kyle | | Ken | +------+
以下示例将展示使用like/_匹配出姓名以k开头并整体长度为3的同学的名字
select name from student where name like "k__"; +------+ | name | +------+ | Ken | +------+
5.6、正则匹配
使用RegExp可进行正则匹配，以下示例将展示使用正则匹配出名字中带有k的所有同学姓名
select name from student where name REGEXP "k+"; +------+ | name | +------+ | Jack | | Kyle | | Ken | +------+
6、group by
分组行为发生在where条件之后，我们可以将查询到的记录按照某个相同字段进行归类，一般分组都会配合聚合函数进行使用。
需要注意的是select语句是排在group by条件之后的，因此聚合函数也能在select语句中使用。
6.1、基本使用
以下示例将展示对hoc_group字段进行分组。
我们按照hoc_group字段进行分组，那么select查询的字段只能是hoc_group字段，想要获取组内的其他字段相关信息，需要借助函数来完成
select hoc_group from student group by hoc_group; +-----------+ | hoc_group | +-----------+ | fifth | | first | | fourth | | second | | third | +-----------+
如果不使用分组，则会产生重复的信息
mysql> select hoc_group from student; +-----------+ | hoc_group | +-----------+ | first | | second | | first | | third | | fifth | | second | | third | | fourth | | fifth | | fourth | +-----------+
6.2、group_concat
用什么字段名进行分组，在select查询时就只能查那个用于分组的字段，查询别的字段会抛出异常，会提示sql_mode异常。
我们将Js成绩大于80分的同学筛选出来并且按照gender字段进行分组，此外我们还想查看其所有满足条件同学的名字。
以下这样操作会抛出异常。
mysql> select gender,name from student where js > 80 group by gender; ERROR 1055 (42000): Expression #1 of SELECT list is not in GROUP BY clause and contains nonaggregated column 'school.student.name' which is not functionally dependent on columns in GROUP BY clause; this is incompatible with sql_mode=only_full_group_by
必须借助group_concat()函数来进行操作才能使我们的需求圆满完成。
select gender, group_concat(name) from student where js > 80 group by gender; +--------+----------------
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