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  • mysql 多表查询

    目录

    数据准备

    #建表
    create table department(
    id int,
    name varchar(20) 
    );
    
    create table staff(
    id int primary key auto_increment,
    name varchar(20),
    sex enum('male','female') not null default 'male',
    age int,
    dep_id int
    );
    
    #插入数据
    insert into department values
    (200,'挖矿小分队'),
    (201,'人力资源'),
    (202,'销售'),
    (203,'运营');
    
    insert into staff(name,sex,age,dep_id) values
    ('程咬金','male',38,200),
    ('露娜','female',26,201),
    ('李白','male',38,201),
    ('王昭君','female',28,202),
    ('典韦','male',118,200),
    ('小乔','female',16,204)
    ;
    
    
    #查看表结构和数据
    mysql> desc department;
    +-------+-------------+------+-----+---------+-------+
    | Field | Type        | Null | Key | Default | Extra |
    +-------+-------------+------+-----+---------+-------+
    | id    | int(11)     | YES  |     | NULL    |       |
    | name  | varchar(20) | YES  |     | NULL    |       |
    +-------+-------------+------+-----+---------+-------+
    2 rows in set (0.06 sec)
    
    mysql> desc staff;
    +--------+-----------------------+------+-----+---------+----------------+
    | Field  | Type                  | Null | Key | Default | Extra          |
    +--------+-----------------------+------+-----+---------+----------------+
    | id     | int(11)               | NO   | PRI | NULL    | auto_increment |
    | name   | varchar(20)           | YES  |     | NULL    |                |
    | sex    | enum('male','female') | NO   |     | male    |                |
    | age    | int(11)               | YES  |     | NULL    |                |
    | dep_id | int(11)               | YES  |     | NULL    |                |
    +--------+-----------------------+------+-----+---------+----------------+
    5 rows in set (0.04 sec)
    
    #表department与staff
    mysql> select * from department;
    +------+-----------------+
    | id   | name            |
    +------+-----------------+
    |  200 | 挖矿小分队      |
    |  201 | 人力资源        |
    |  202 | 销售            |
    |  203 | 运营            |
    +------+-----------------+
    4 rows in set (0.00 sec)
    
    mysql> select * from staff;
    +----+-----------+--------+------+--------+
    | id | name      | sex    | age  | dep_id |
    +----+-----------+--------+------+--------+
    |  1 | 程咬金    | male   |   38 |    200 |
    |  2 | 露娜      | female |   26 |    201 |
    |  3 | 李白      | male   |   38 |    201 |
    |  4 | 王昭君    | female |   28 |    202 |
    |  5 | 典韦      | male   |  118 |    200 |
    |  6 | 小乔      | female |   16 |    204 |
    +----+-----------+--------+------+--------+
    6 rows in set (0.00 sec)
    

    连表查

    • 交叉连接 不适用任何匹配条件,生成笛卡尔积

    • select * from 表1,表2;

    • 内链接 (常用) 只连接匹配的行

    • select * from staff inner join department on 条件(表1.字段=表2.字段)

    • 小结: 找两张表共有的部分,利用条件从笛卡尔积结果中筛选出了正确的结果

    • 外连接

    • 左外连接(常用) 优先显示左表全部记录 left join

    • select * from staff left join department on 条件(表1.字段=表2.字段)

    • 右外链接 优先显示右表全部记录 right join

    • select * from staff right join department on 条件(表1.字段=表2.字段)

    • 全外连接 显示左右两个表全部记录

    • 查询语句 (mysql没有full join,可以有左外连接+右外连接来实现全外连接)

    select * from 表1  left join 表2 on 条件((表1.字段=表2.字段))
    union
    select * from 表1  right join 表2 on 条件((表1.字段=表2.字段));
    

    #全外连接:在内连接的基础上增加左边有右边没有的和右边有左边没有的结果
    #注意:mysql不支持全外连接 full join
    #强调:mysql可以使用此种方式间接实现全外连接
    #注意 union与union all的区别:union会去掉相同的纪录
    
    • 练习

    1.找挖矿小分队的所有员工的信息
    #答:
    mysql> select * from staff inner join department on department.id=staff.dep_id where department.name='挖矿小分队';
    +----+-----------+------+------+--------+------+-----------------+
    | id | name      | sex  | age  | dep_id | id   | name            |
    +----+-----------+------+------+--------+------+-----------------+
    |  1 | 程咬金    | male |   38 |    200 |  200 | 挖矿小分队      |
    |  5 | 典韦      | male |  118 |    200 |  200 | 挖矿小分队      |
    +----+-----------+------+------+--------+------+-----------------+
    2 rows in set (0.00 sec)
    
    2.查找人力资源所有的员工名字
    #答:  (名字太长可以起别名)
    mysql> select staff.name  from staff inner join department as dep on dep.id=staff.dep_id where dep.name='人力资源';
    +--------+
    | name   |
    +--------+
    | 露娜   |
    | 李白   |
    +--------+
    2 rows in set (0.00 sec)
    
    3.找出年龄大于38的员工的姓名,及其所在的部门名称
    #答:
    mysql> select staff.name,dep.name  from staff  inner join department as dep on dep.id=staff.dep_id where age>38;
    +--------+-----------------+
    | name   | name            |
    +--------+-----------------+
    | 典韦   | 挖矿小分队       |
    +--------+-----------------+
    1 row in set (0.00 sec)
    
    4.以内连接的方式查询 staff 和 department表,并且以age字段的升序方式显示
    答:
    mysql> select *  from staff  inner join department as dep on dep.id=staff.dep_id order by age;
    +----+-----------+--------+------+--------+------+-----------------+
    | id | name      | sex    | age  | dep_id | id   | name            |
    +----+-----------+--------+------+--------+------+-----------------+
    |  2 | 露娜      | female |   26 |    201 |  201 | 人力资源        |
    |  4 | 王昭君    | female |   28 |    202 |  202 | 销售            |
    |  1 | 程咬金    | male   |   38 |    200 |  200 | 挖矿小分队      |
    |  3 | 李白      | male   |   38 |    201 |  201 | 人力资源        |
    |  5 | 典韦      | male   |  118 |    200 |  200 | 挖矿小分队      |
    +----+-----------+--------+------+--------+------+-----------------+
    5 rows in set (0.05 sec)
    
    5.找到部门为 挖矿小分队 和 人力资源 的所有员工的名字
    #答: 
    mysql> select staff.name from staff inner join department as dep on dep.id = staff.dep_id where dep.name in ('挖矿小分队','人力资源');
    +-----------+
    | name      |
    +-----------+
    | 程咬金    |
    | 露娜      |
    | 李白      |
    | 典韦      |
    +-----------+
    4 rows in set (0.00 sec)
    
    

    子查询

    #1:子查询是将一个查询语句嵌套在另一个查询语句中。
    #2:内层查询语句的查询结果,可以为外层查询语句提供查询条件。
    #3:子查询中可以包含:IN、NOT IN、ANY、ALL、EXISTS 和 NOT EXISTS等关键字
    #4:还可以包含比较运算符:= 、 !=、> 、<等
    #5: 多用连表查,因为连表查询比子查询效率高
    
    1.用子查询 找到部门是销售的所有员工的姓名
    #解题思路
    ①先找department表部门为销售的部门的id
    mysql> select id from department where name = '销售';
    +------+
    | id   |
    +------+
    |  202 |
    +------+
    1 row in set (0.00 sec)
    
    ②再找staff表中部门dep_id = 202
    mysql> select name from staff where dep_id = 202;
    +-----------+
    | name      |
    +-----------+
    | 王昭君    |
    +-----------+
    1 row in set (0.00 sec)
    
    ③字表查
    mysql> select name from staff where dep_id =(select id from department where name = '销售');
    +-----------+
    | name      |
    +-----------+
    | 王昭君    |
    +-----------+
    1 row in set (0.00 sec)
    
    2.用子查询 找到部门为 销售 和 人力资源 的所有员工的名字
    ①先找department表部门为销售和人力资源的部门的id
    mysql> select id from department where name = '销售' or name = '人力资源';
    +------+
    | id   |
    +------+
    |  201 |
    |  202 |
    +------+
    2 rows in set (0.00 sec)
    
    ②子查询
    mysql> select name from staff where dep_id in (select id from department where name = '销售' or name = '人力资源');
    +-----------+
    | name      |
    +-----------+
    | 露娜      |
    | 李白      |
    | 王昭君    |
    +-----------+
    3 rows in set (0.00 sec)
    

    1. 带IN关键字的子查询
    ①查询平均年龄在28岁以上的部门名
    select id,name from department
        where id in 
            (select dep_id from staff group by dep_id having avg(age) > 28);
    #结果        
    +------+-----------------+
    | id   | name            |
    +------+-----------------+
    |  200 | 挖矿小分队      |
    |  201 | 人力资源        |
    +------+-----------------+
    2 rows in set (0.00 sec)
    
    ②查看部门是挖矿小分队员工姓名
    select name from staff
        where dep_id in 
            (select id from department where name='挖矿小分队');
    #结果
    +-----------+
    | name      |
    +-----------+
    | 程咬金    |
    | 典韦      |
    +-----------+
    2 rows in set (0.00 sec)
    
    ③查看不足1人的部门名(子查询得到的是有人的部门id)
    select name from department where id not in (select distinct dep_id from staff);
    #结果
    +--------+
    | name   |
    +--------+
    | 运营   |
    +--------+
    1 row in set (0.02 sec)
    
    
    2. 带比较运算符的子查询
    #比较运算符:=、!=、>、>=、<、<=、<>
    
    ①查询大于所有人平均年龄的员工名与年龄
    mysql> select name,age from staff where age > (select avg(age) from staff);
    +--------+------+
    | name   | age  |
    +--------+------+
    | 典韦   |  118 |
    +--------+------+
    1 row in set (0.00 sec)
    
    
    ②查询大于部门内平均年龄的员工名、年龄
    select t1.name,t1.age from staff t1
    inner join 
    (select dep_id,avg(age) avg_age from staff group by dep_id) t2
    on t1.dep_id = t2.dep_id
    where t1.age > t2.avg_age; 
    #结果
    +--------+------+
    | name   | age  |
    +--------+------+
    | 李白   |   38 |
    | 典韦   |  118 |
    +--------+------+
    2 rows in set (0.04 sec)
    
    
    3. 带EXISTS关键字的子查询
    
    EXISTS关字键字表示存在。在使用EXISTS关键字时,内层查询语句不返回查询的记录。
    而是返回一个真假值。True或False
    当返回True时,外层查询语句将进行查询;当返回值为False时,外层查询语句不进行查询
    
    #department表中存在dept_id=203,Ture
    select * from staff
        where exists
        (select id from department where id=200);
    #结果
    +----+-----------+--------+------+--------+
    | id | name      | sex    | age  | dep_id |
    +----+-----------+--------+------+--------+
    |  1 | 程咬金    | male   |   38 |    200 |
    |  2 | 露娜      | female |   26 |    201 |
    |  3 | 李白      | male   |   38 |    201 |
    |  4 | 王昭君    | female |   28 |    202 |
    |  5 | 典韦      | male   |  118 |    200 |
    |  6 | 小乔      | female |   16 |    204 |
    +----+-----------+--------+------+--------+
    6 rows in set (0.00 sec)
    
    
    
    #department表中存在dept_id=205,False
    mysql> select * from staff
        where exists
        (select id from department where id=204);
    Empty set (0.00 sec)
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  • 原文地址:https://www.cnblogs.com/chenguangzhen/p/14309695.html
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