day--39-MySQL的多表查询
多表查询
一：表的基本介绍
能够参考：https://www.cnblogs.com/cdf-opensource-007/p/6517627.html
创建一个员工表信息表和一个部门表，每一个员工都对应在哪一个部门。所以这两张表具备必定关系。须要将两个表格进行查询，找到一个
员工所对应的所属部门。
01：创建一个员工表：employee 和一个部门表departmentemployee表：
mysql> create table employee( -> id int primary key auto_increment, -> name varchar(20), -> sex enum("male","female") not null default "male", -> age int, -> dep_id int -> ); Query OK, 0 rows affected (0.18 sec) department表： mysql> create table department( -> id int, -> name varchar(20) -> ); Query OK, 0 rows affected (0.12 sec)
02：给两张表加入信息。
employee表：
mysql> insert into employee(name,sex,age,dep_id) values -> ("egon","male",18,200), -> ("alex","female",48,201), -> ("wupeiqi","male",38,210), -> ("yuanhao","female",28,202), -> ("liwenzhou","female",28,202), -> ("jingwen","female",18,204); Query OK, 6 rows affected (0.05 sec) Records: 6 Duplicates: 0 Warnings: 0
查看employee的结构：html
mysql> desc employee; +--------+-----------------------+------+-----+---------+----------------+ | 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 (0.00 sec)
查看employee的信息：python
mysql> select * from employee; +----+-----------+--------+------+--------+ | id | name | sex | age | dep_id | +----+-----------+--------+------+--------+ | 1 | egon | male | 18 | 200 | | 2 | alex | female | 48 | 201 | | 3 | wupeiqi | male | 38 | 210 | | 4 | yuanhao | female | 28 | 202 | | 5 | liwenzhou | female | 28 | 202 | | 6 | jingwen | female | 18 | 204 | +----+-----------+--------+------+--------+ 6 rows in set (0.00 sec)
department表：
mysql> insert into department values -> (200,"技术"), -> (201,"人力资源"), -> (202,"销售"), -> (203,"运营"); Query OK, 4 rows affected (0.04 sec) Records: 4 Duplicates: 0 Warnings: 0 department的结构： mysql> desc department; +-------+-------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------+-------------+------+-----+---------+-------+ | id | int(11) | YES | | NULL | | | name | varchar(20) | YES | | NULL | | +-------+-------------+------+-----+---------+-------+ 2 rows in set (0.00 sec)
department的信息：
mysql> select * from department; +------+--------------+ | id | name | +------+--------------+ | 200 | 技术 | | 201 | 人力资源 | | 202 | 销售 | | 203 | 运营 | +------+--------------+ 4 rows in set (0.00 sec)
二：多表查询（以employee和department为例）mysql
#重点：外连接语法： select 字段列表 from 表1 inner/left/right join 表2 on 表1.字段=表2.字段；
01:交叉连接：生成笛卡儿积：
mysql> select * from employee,department; +----+-----------+--------+------+--------+------+--------------+ | id | name | sex | age | dep_id | id | name | +----+-----------+--------+------+--------+------+--------------+ | 1 | egon | male | 18 | 200 | 200 | 技术 | | 1 | egon | male | 18 | 200 | 201 | 人力资源 | | 1 | egon | male | 18 | 200 | 202 | 销售 | | 1 | egon | male | 18 | 200 | 203 | 运营 | | 2 | alex | female | 48 | 201 | 200 | 技术 | | 2 | alex | female | 48 | 201 | 201 | 人力资源 | | 2 | alex | female | 48 | 201 | 202 | 销售 | | 2 | alex | female | 48 | 201 | 203 | 运营 | | 3 | wupeiqi | male | 38 | 210 | 200 | 技术 | | 3 | wupeiqi | male | 38 | 210 | 201 | 人力资源 | | 3 | wupeiqi | male | 38 | 210 | 202 | 销售 | | 3 | wupeiqi | male | 38 | 210 | 203 | 运营 | | 4 | yuanhao | female | 28 | 202 | 200 | 技术 | | 4 | yuanhao | female | 28 | 202 | 201 | 人力资源 | | 4 | yuanhao | female | 28 | 202 | 202 | 销售 | | 4 | yuanhao | female | 28 | 202 | 203 | 运营 | | 5 | liwenzhou | female | 28 | 202 | 200 | 技术 | | 5 | liwenzhou | female | 28 | 202 | 201 | 人力资源 | | 5 | liwenzhou | female | 28 | 202 | 202 | 销售 | | 5 | liwenzhou | female | 28 | 202 | 203 | 运营 | | 6 | jingwen | female | 18 | 204 | 200 | 技术 | | 6 | jingwen | female | 18 | 204 | 201 | 人力资源 | | 6 | jingwen | female | 18 | 204 | 202 | 销售 | | 6 | jingwen | female | 18 | 204 | 203 | 运营 | +----+-----------+--------+------+--------+------+--------------+ 24 rows in set (0.00 sec) 这种显示是将全部列表排序都生成了，咱们要找的排序确定会在这个笛卡儿积表格中，可是不利于分析。
02：内连接，只连接匹配的行。
mysql> select * from employee,department where department.id=employee.dep_id; #where条件分析。 +----+-----------+--------+------+--------+------+--------------+ | id | name | sex | age | dep_id | id | name | +----+-----------+--------+------+--------+------+--------------+ | 1 | egon | male | 18 | 200 | 200 | 技术 | | 2 | alex | female | 48 | 201 | 201 | 人力资源 | | 4 | yuanhao | female | 28 | 202 | 202 | 销售 | | 5 | liwenzhou | female | 28 | 202 | 202 | 销售 | +----+-----------+--------+------+--------+------+--------------+ 4 rows in set (0.00 sec)
#再看一个需求，我要查出技术部的员工的名字
mysql> select name from employee,department where employee.dep_id=department.id and department.name='技术'; ERROR 1052 (23000): Column 'name' in field list is ambiguous #上面直接就报错了，由于select后面直接写的name，在两个表合并起来的表中，是有两个name字段的，直接写name是不行的，要加上表名，再看： mysql> select employee.name from employee,department where employee.dep_id=department.id and department.name="技术"; +------+ | name | +------+ | egon | +------+ 1 row in set (0.00 sec)
03:外连接之左连接：优先显示左边表的所有记录sql
#以左表为准，即找出全部员工信息，固然包括没有部门的员工 #本质就是：在内连接的基础上增长左边有而右边没有的结果 mysql> select employee.id,employee.name,department.name as depart_name from employee > left join department on employee.dep_id=department.id; +----+-----------+--------------+ | id | name | depart_name | +----+-----------+--------------+ | 1 | egon | 技术 | | 2 | alex | 人力资源 | | 4 | yuanhao | 销售 | | 5 | liwenzhou | 销售 | | 3 | wupeiqi | NULL | | 6 | jingwen | NULL | +----+-----------+--------------+ 6 rows in set (0.00 sec)
04:外连接之右连接：优先显示右边表的所有记录
#以右表为准，即找出全部员工信息，固然包括没有部门的员工 #本质就是：在内连接的基础上增长右边有而左边没有的结果 mysql> select employee.id,employee.name,department.name as depart_name from -> employee right join department on -> employee.dep_id=department.id; +------+-----------+--------------+ | id | name | depart_name | +------+-----------+--------------+ | 1 | egon | 技术 | | 2 | alex | 人力资源 | | 4 | yuanhao | 销售 | | 5 | liwenzhou | 销售 | | NULL | NULL | 运营 | +------+-----------+--------------+ 5 rows in set (0.00 sec)
05:全外连接：显示左右两个表的所有内容
001：union显示的左右两边的数据，并将重复的数据去重。
mysql> select * from employee left join department on employee.dep_id=department.id -> union -> select * from employee right join department on employee.dep_id=department.id -> ; +------+-----------+--------+------+--------+------+--------------+ | id | name | sex | age | dep_id | id | name | +------+-----------+--------+------+--------+------+--------------+ | 1 | egon | male | 18 | 200 | 200 | 技术 | | 2 | alex | female | 48 | 201 | 201 | 人力资源 | | 4 | yuanhao | female | 28 | 202 | 202 | 销售 | | 5 | liwenzhou | female | 28 | 202 | 202 | 销售 | | 3 | wupeiqi | male | 38 | 210 | NULL | NULL | | 6 | jingwen | female | 18 | 204 | NULL | NULL | | NULL | NULL | NULL | NULL | NULL | 203 | 运营 | +------+-----------+--------+------+--------+------+--------------+ 7 rows in set (0.06 sec)
002：union all 显示的是左右两边表的数据，并不会去重
mysql> select * from employee left join department on employee.dep_id=department.id -> union all -> select * from employee right join department on employee.dep_id=department.id; +------+-----------+--------+------+--------+------+--------------+ | id | name | sex | age | dep_id | id | name | +------+-----------+--------+------+--------+------+--------------+ | 1 | egon | male | 18 | 200 | 200 | 技术 | | 2 | alex | female | 48 | 201 | 201 | 人力资源 | | 4 | yuanhao | female | 28 | 202 | 202 | 销售 | | 5 | liwenzhou | female | 28 | 202 | 202 | 销售 | | 3 | wupeiqi | male | 38 | 210 | NULL | NULL | | 6 | jingwen | female | 18 | 204 | NULL | NULL | | 1 | egon | male | 18 | 200 | 200 | 技术 | | 2 | alex | female | 48 | 201 | 201 | 人力资源 | | 4 | yuanhao | female | 28 | 202 | 202 | 销售 | | 5 | liwenzhou | female | 28 | 202 | 202 | 销售 | | NULL | NULL | NULL | NULL | NULL | 203 | 运营 | +------+-----------+--------+------+--------+------+--------------+ 11 rows in set (0.00 sec)
三：符合条件接连的查询
一、
#示例1：之内链接的方式查询employee和department表，而且employee表中的age字段值必须大于25,即找出年龄大于25岁的员工以及员工所在的部门 mysql> select employee.name,department.name from employee inner join department -> on employee.dep_id=department.id -> where age>25; +-----------+--------------+ | name | name | +-----------+--------------+ | alex | 人力资源 | | yuanhao | 销售 | | liwenzhou | 销售 | +-----------+--------------+ 3 rows in set (0.00 sec)
二、#实例：之内链接的方式查询employee和department表，而且以age字段的生序方式显示；
实例01：内链接的方式查询employee和department表，而且employee表中的age字段值必须大于25,即找出年龄大于25岁的员工以及员工所在的部门 mysql> select employee.name,department.name from employee inner join department -> on employee.dep_id=department.id where age>25 -> order by age; #(order by 排序是默认的升序的，升序order by asc) +-----------+--------------+ | name | name | +-----------+--------------+ | yuanhao | 销售 | | liwenzhou | 销售 | | alex | 人力资源 | +-----------+--------------+ 3 rows in set (0.00 sec)
实例02：之内链接的方式查询employee和department表，而且以age字段的升序方式显示 mysql> select employee.id,employee.name,employee.age,department.name from employee,department -> where employee.dep_id=department.id -> and age >25 -> order by age asc; +----+-----------+------+--------------+ | id | name | age | name | +----+-----------+------+--------------+ | 5 | liwenzhou | 28 | 销售 | | 4 | yuanhao | 28 | 销售 | | 2 | alex | 48 | 人力资源 | +----+-----------+------+--------------+ 3 rows in set (0.00 sec)
四：子查询
解释：子查询就是将一个查询结果用括号括起来，交给另一个sql语句，做为它的一个查询语句来进行操做。 子查询： #1：子查询是将一个查询语句嵌套在另外一个查询语句中。 #2：内层查询语句的查询结果，能够为外层查询语句提供查询条件。 #3：子查询中能够包含：IN、NOT IN、ANY、ALL、EXISTS 和 NOT EXISTS等关键字 #4：还能够包含比较运算符：= 、 !=、> 、<等
1: 带in关键字的的字查询：
mysql> select id,name from department where id in (select dep_id from employee group by -> dep_id having avg(age)>25); +------+--------------+ | id | name | +------+--------------+ | 201 | 人力资源 | | 202 | 销售 | +------+--------------+ 2 rows in set (0.05 sec) 总结：子查询的思路和解决问题同样，先解决一个而后拿着这个的结果再去解决另一个问题，连表的思路是先将两个表关联在一块儿， 而后在进行group by啊过滤啊等等操做，二者的思路是不同的.
01:#查询员工平均年龄在25岁以上的部门名，能够用连表，也能够用子查询， mysql> select department.name from department inner join employee on department.id=employee.dep_id -> group by department.name having avg(age)>25; +--------------+ | name | +--------------+ | 人力资源 | | 销售 | +--------------+
02:#查看技术部员工姓名 mysql> select name from employee where dep_id in (select id from department where name="技术"); +------+ | name | +------+ | egon | +------+ 1 row in set (0.00 sec)
03:#查看不足1人的部门名(子查询获得的是有人的部门id) mysql> select id,name from department where id not in (select distinct dep_id from employee); +------+--------+ | id | name | +------+--------+ | 203 | 运营 | +------+--------+ 1 row in set (0.00 sec)
2:比较运算符的子查询：
#比较运算符：=、!=、>、>=、<、<=、<> #查询大于全部人平均年龄的员工名与年龄 mysql> select name,age from employee where age >(select avg(age) from employee); +---------+------+ | name | age | +---------+------+ | alex | 48 | | wupeiqi | 38 | +---------+------+ 2 rows in set (0.00 sec)
3：带exists(存在）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。还能够写not exists，和exists的效果就是反的
01：employee表中不存在id为200
mysql> select * from employee where exists (select id from employee where id=500); Empty set (0.00 sec)
02：employee存在的状况：
#只有当括号里面的条件成立了，select * from employee 才会执行 mysql> select * from employee where exists (select dep_id from employee where dep_id=200); +----+-----------+--------+------+--------+ | id | name | sex | age | dep_id | +----+-----------+--------+------+--------+ | 1 | egon | male | 18 | 200 | | 2 | alex | female | 48 | 201 | | 3 | wupeiqi | male | 38 | 210 | | 4 | yuanhao | female | 28 | 202 | | 5 | liwenzhou | female | 28 | 202 | | 6 | jingwen | female | 18 | 204 | +----+-----------+--------+------+--------+ 6 rows in set (0.00 sec)
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