阅读目录
- 一 介绍
- 二 多表连接查询
- 三 符合条件连接查询
- 四 子查询
一 介绍
- 本节内容
- 多表连接查询
- 复合条件连接查询
- 子查询
准备表
#建表create table department(id int,name varchar(20) );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);#插入数据insert into department values(200,'技术'),(201,'人力资源'),(202,'销售'),(203,'运营');insert into employee(name,sex,age,dep_id) values('egon','male',18,200),('alex','female',48,201),('wupeiqi','male',38,201),('yuanhao','female',28,202),('liwenzhou','male',18,200),('jingliyang','female',18,204);#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 | |+-------+-------------+------+-----+---------+-------+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 | |+--------+-----------------------+------+-----+---------+----------------+mysql> select * from department;+------+--------------+| id | name |+------+--------------+| 200 | 技术 || 201 | 人力资源 || 202 | 销售 || 203 | 运营 |+------+--------------+mysql> select * from employee;+----+------------+--------+------+--------+| id | name | sex | age | dep_id |+----+------------+--------+------+--------+| 1 | egon | male | 18 | 200 || 2 | alex | female | 48 | 201 || 3 | wupeiqi | male | 38 | 201 || 4 | yuanhao | female | 28 | 202 || 5 | liwenzhou | male | 18 | 200 || 6 | jingliyang | female | 18 | 204 |+----+------------+--------+------+--------+表department与employee
二 多表连接查询
#重点：外链接语法SELECT 字段列表 FROM 表1 INNER|LEFT|RIGHT JOIN 表2 ON 表1.字段 = 表2.字段;
1 交叉连接：不适用任何匹配条件。生成笛卡尔积
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 | 201 | 200 | 技术 || 3 | wupeiqi | male | 38 | 201 | 201 | 人力资源 || 3 | wupeiqi | male | 38 | 201 | 202 | 销售 || 3 | wupeiqi | male | 38 | 201 | 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 | male | 18 | 200 | 200 | 技术 || 5 | liwenzhou | male | 18 | 200 | 201 | 人力资源 || 5 | liwenzhou | male | 18 | 200 | 202 | 销售 || 5 | liwenzhou | male | 18 | 200 | 203 | 运营 || 6 | jingliyang | female | 18 | 204 | 200 | 技术 || 6 | jingliyang | female | 18 | 204 | 201 | 人力资源 || 6 | jingliyang | female | 18 | 204 | 202 | 销售 || 6 | jingliyang | female | 18 | 204 | 203 | 运营 |+----+------------+--------+------+--------+------+--------------+
2 内连接：只连接匹配的行
#找两张表共有的部分，相当于利用条件从笛卡尔积结果中筛选出了正确的结果#department没有204这个部门，因而employee表中关于204这条员工信息没有匹配出来mysql> select employee.id,employee.name,employee.age,employee.sex,department.name from employee inner join department on employee.dep_id=department.id; +----+-----------+------+--------+--------------+| id | name | age | sex | name |+----+-----------+------+--------+--------------+| 1 | egon | 18 | male | 技术 || 2 | alex | 48 | female | 人力资源 || 3 | wupeiqi | 38 | male | 人力资源 || 4 | yuanhao | 28 | female | 销售 || 5 | liwenzhou | 18 | male | 技术 |+----+-----------+------+--------+--------------+#上述sql等同于mysql> select employee.id,employee.name,employee.age,employee.sex,department.name from employee,department where employee.dep_id=department.id;
3 外链接之左连接：优先显示左表全部记录
#以左表为准，即找出所有员工信息，当然包括没有部门的员工#本质就是：在内连接的基础上增加左边有右边没有的结果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 || 5 | liwenzhou | 技术 || 2 | alex | 人力资源 || 3 | wupeiqi | 人力资源 || 4 | yuanhao | 销售 || 6 | jingliyang | NULL |+----+------------+--------------+
4 外链接之右连接：优先显示右表全部记录
#以右表为准，即找出所有部门信息，包括没有员工的部门#本质就是：在内连接的基础上增加右边有左边没有的结果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 || 3 | wupeiqi | 人力资源 || 4 | yuanhao | 销售 || 5 | liwenzhou | 技术 || NULL | NULL | 运营 |+------+-----------+--------------+
5 全外连接：显示左右两个表全部记录
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select * from employee left join department on employee.dep_id = department.idunionselect * from employee right join department on employee.dep_id = department.id;#查看结果+------+------------+--------+------+--------+------+--------------+| id | name | sex | age | dep_id | id | name |+------+------------+--------+------+--------+------+--------------+| 1 | egon | male | 18 | 200 | 200 | 技术 || 5 | liwenzhou | male | 18 | 200 | 200 | 技术 || 2 | alex | female | 48 | 201 | 201 | 人力资源 || 3 | wupeiqi | male | 38 | 201 | 201 | 人力资源 || 4 | yuanhao | female | 28 | 202 | 202 | 销售 || 6 | jingliyang | female | 18 | 204 | NULL | NULL || NULL | NULL | NULL | NULL | NULL | 203 | 运营 |+------+------------+--------+------+--------+------+--------------+#注意 union与union all的区别：union会去掉相同的纪录
三 符合条件连接查询
#示例1：以内连接的方式查询employee和department表，并且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select employee.name,department.name from employee inner join department on employee.dep_id = department.id where age > 25;#示例2：以内连接的方式查询employee和department表，并且以age字段的升序方式显示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;
四 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：=、!=、>、
1 带IN关键字的子查询
#查询平均年龄在25岁以上的部门名select id,name from department where id in (select dep_id from employee group by dep_id having avg(age) > 25);#查看技术部员工姓名select name from employee where dep_id in (select id from department where name='技术');#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 employee);
2 带比较运算符的子查询
#比较运算符：=、!=、>、>=、<、<=、<>#查询大于所有人平均年龄的员工名与年龄mysql> select name,age from emp where age > (select avg(age) from emp);+---------+------+| name | age |+---------+------+| alex | 48 || wupeiqi | 38 |+---------+------+2 rows in set (0.00 sec)#查询大于部门内平均年龄的员工名、年龄select t1.name,t1.age from emp t1inner join (select dep_id,avg(age) avg_age from emp group by dep_id) t2on t1.dep_id = t2.dep_idwhere t1.age > t2.avg_age;
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，Turemysql> select * from employee -> where exists -> (select id from department where id=200);+----+------------+--------+------+--------+| id | name | sex | age | dep_id |+----+------------+--------+------+--------+| 1 | egon | male | 18 | 200 || 2 | alex | female | 48 | 201 || 3 | wupeiqi | male | 38 | 201 || 4 | yuanhao | female | 28 | 202 || 5 | liwenzhou | male | 18 | 200 || 6 | jingliyang | female | 18 | 204 |+----+------------+--------+------+--------+#department表中存在dept_id=205，Falsemysql> select * from employee -> where exists -> (select id from department where id=204);Empty set (0.00 sec)