MySQL复合查询的具体使用

2026-03-13 09:25:33 作者：Oo৹Oo৹Oo৹

本文介绍了MySQL复合查询的基本操作,包括多表查询和复杂条件查询,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧

1. 复合查询

前面所介绍的查询都是对 MySQL 一张表进行查询，但在实际应用中，我们往往需要从多张表中获取数据，这时就需要使用复合查询

1.1 基本查询回顾

查询工资高于 500 或岗位信息为 “MANAGER” 的雇员，同时还要满足他们的姓名首字母为大写的 “J”

mysql> select * from emp  where (sal > 500 or job = 'MANAGER') and substring(ename,1,1) = 'J';
+--------+-------+---------+------+---------------------+---------+------+--------+
| empno  | ename | job     | mgr  | hiredate            | sal     | comm | deptno |
+--------+-------+---------+------+---------------------+---------+------+--------+
| 007566 | JONES | MANAGER | 7839 | 1981-04-02 00:00:00 | 2975.00 | NULL |     20 |
| 007900 | JAMES | CLERK   | 7698 | 1981-12-03 00:00:00 |  950.00 | NULL |     30 |
+--------+-------+---------+------+---------------------+---------+------+--------+
2 rows in set (0.00 sec)

mysql>

按照部门号升序，雇员工资降序排序整张表

mysql> select * from emp order by deptno asc,sal desc;
+--------+--------+-----------+------+---------------------+---------+---------+--------+
| empno  | ename  | job       | mgr  | hiredate            | sal     | comm    | deptno |
+--------+--------+-----------+------+---------------------+---------+---------+--------+
| 007839 | KING   | PRESIDENT | NULL | 1981-11-17 00:00:00 | 5000.00 |    NULL |     10 |
| 007782 | CLARK  | MANAGER   | 7839 | 1981-06-09 00:00:00 | 2450.00 |    NULL |     10 |
| 007934 | MILLER | CLERK     | 7782 | 1982-01-23 00:00:00 | 1300.00 |    NULL |     10 |
| 007788 | SCOTT  | ANALYST   | 7566 | 1987-04-19 00:00:00 | 3000.00 |    NULL |     20 |
| 007902 | FORD   | ANALYST   | 7566 | 1981-12-03 00:00:00 | 3000.00 |    NULL |     20 |
| 007566 | JONES  | MANAGER   | 7839 | 1981-04-02 00:00:00 | 2975.00 |    NULL |     20 |
| 007876 | ADAMS  | CLERK     | 7788 | 1987-05-23 00:00:00 | 1100.00 |    NULL |     20 |
| 007369 | SMITH  | CLERK     | 7902 | 1980-12-17 00:00:00 |  800.00 |    NULL |     20 |
| 007698 | BLAKE  | MANAGER   | 7839 | 1981-05-01 00:00:00 | 2850.00 |    NULL |     30 |
| 007499 | ALLEN  | SALESMAN  | 7698 | 1981-02-20 00:00:00 | 1600.00 |  300.00 |     30 |
| 007844 | TURNER | SALESMAN  | 7698 | 1981-09-08 00:00:00 | 1500.00 |    0.00 |     30 |
| 007521 | WARD   | SALESMAN  | 7698 | 1981-02-22 00:00:00 | 1250.00 |  500.00 |     30 |
| 007654 | MARTIN | SALESMAN  | 7698 | 1981-09-28 00:00:00 | 1250.00 | 1400.00 |     30 |
| 007900 | JAMES  | CLERK     | 7698 | 1981-12-03 00:00:00 |  950.00 |    NULL |     30 |
+--------+--------+-----------+------+---------------------+---------+---------+--------+
14 rows in set (0.00 sec)

mysql>

使用年薪进行降序排序

mysql> select *,sal*12+ifnull(comm,0) as annual_sal from emp order by annual_sal desc;
+--------+--------+-----------+------+---------------------+---------+---------+--------+------------+
| empno  | ename  | job       | mgr  | hiredate            | sal     | comm    | deptno | annual_sal |
+--------+--------+-----------+------+---------------------+---------+---------+--------+------------+
| 007839 | KING   | PRESIDENT | NULL | 1981-11-17 00:00:00 | 5000.00 |    NULL |     10 |   60000.00 |
| 007788 | SCOTT  | ANALYST   | 7566 | 1987-04-19 00:00:00 | 3000.00 |    NULL |     20 |   36000.00 |
| 007902 | FORD   | ANALYST   | 7566 | 1981-12-03 00:00:00 | 3000.00 |    NULL |     20 |   36000.00 |
| 007566 | JONES  | MANAGER   | 7839 | 1981-04-02 00:00:00 | 2975.00 |    NULL |     20 |   35700.00 |
| 007698 | BLAKE  | MANAGER   | 7839 | 1981-05-01 00:00:00 | 2850.00 |    NULL |     30 |   34200.00 |
| 007782 | CLARK  | MANAGER   | 7839 | 1981-06-09 00:00:00 | 2450.00 |    NULL |     10 |   29400.00 |
| 007499 | ALLEN  | SALESMAN  | 7698 | 1981-02-20 00:00:00 | 1600.00 |  300.00 |     30 |   19500.00 |
| 007844 | TURNER | SALESMAN  | 7698 | 1981-09-08 00:00:00 | 1500.00 |    0.00 |     30 |   18000.00 |
| 007654 | MARTIN | SALESMAN  | 7698 | 1981-09-28 00:00:00 | 1250.00 | 1400.00 |     30 |   16400.00 |
| 007934 | MILLER | CLERK     | 7782 | 1982-01-23 00:00:00 | 1300.00 |    NULL |     10 |   15600.00 |
| 007521 | WARD   | SALESMAN  | 7698 | 1981-02-22 00:00:00 | 1250.00 |  500.00 |     30 |   15500.00 |
| 007876 | ADAMS  | CLERK     | 7788 | 1987-05-23 00:00:00 | 1100.00 |    NULL |     20 |   13200.00 |
| 007900 | JAMES  | CLERK     | 7698 | 1981-12-03 00:00:00 |  950.00 |    NULL |     30 |   11400.00 |
| 007369 | SMITH  | CLERK     | 7902 | 1980-12-17 00:00:00 |  800.00 |    NULL |     20 |    9600.00 |
+--------+--------+-----------+------+---------------------+---------+---------+--------+------------+
14 rows in set (0.00 sec)

mysql>

注：comm 列表示佣金，全称 Commission

显示工资最高的员工的姓名和工作岗位

mysql> select ename,job from emp where sal = (select max(sal) from emp);
+-------+-----------+
| ename | job       |
+-------+-----------+
| KING  | PRESIDENT |
+-------+-----------+
1 row in set (0.00 sec)

mysql>

显示工资高于平均工资的员工信息

mysql> select *from emp where sal > (select avg(sal) from emp);
+--------+-------+-----------+------+---------------------+---------+------+--------+
| empno  | ename | job       | mgr  | hiredate            | sal     | comm | deptno |
+--------+-------+-----------+------+---------------------+---------+------+--------+
| 007566 | JONES | MANAGER   | 7839 | 1981-04-02 00:00:00 | 2975.00 | NULL |     20 |
| 007698 | BLAKE | MANAGER   | 7839 | 1981-05-01 00:00:00 | 2850.00 | NULL |     30 |
| 007782 | CLARK | MANAGER   | 7839 | 1981-06-09 00:00:00 | 2450.00 | NULL |     10 |
| 007788 | SCOTT | ANALYST   | 7566 | 1987-04-19 00:00:00 | 3000.00 | NULL |     20 |
| 007839 | KING  | PRESIDENT | NULL | 1981-11-17 00:00:00 | 5000.00 | NULL |     10 |
| 007902 | FORD  | ANALYST   | 7566 | 1981-12-03 00:00:00 | 3000.00 | NULL |     20 |
+--------+-------+-----------+------+---------------------+---------+------+--------+
6 rows in set (0.00 sec)

mysql>

显示每个部门的平均工资和最高工资

mysql> select deptno,avg(sal) as avg_sal,max(sal) as max_sal from emp group by deptno;
+--------+-------------+---------+
| deptno | avg_sal     | max_sal |
+--------+-------------+---------+
|     20 | 2175.000000 | 3000.00 |
|     30 | 1566.666667 | 2850.00 |
|     10 | 2916.666667 | 5000.00 |
+--------+-------------+---------+
3 rows in set (0.00 sec)

mysql>

显示平均工资低于 2000 的部门号和它的平均工资

mysql> select deptno,avg(sal) avg_sal from emp group by deptno having avg(sal) < 2000;
+--------+-------------+
| deptno | avg_sal     |
+--------+-------------+
|     30 | 1566.666667 |
+--------+-------------+
1 row in set (0.00 sec)

mysql>

显示每种岗位的雇员总数及其平均工资

mysql> select job,count(*) as total,avg(sal) as avg_sal from emp group by job;
+-----------+-------+-------------+
| job       | total | avg_sal     |
+-----------+-------+-------------+
| CLERK     |     4 | 1037.500000 |
| SALESMAN  |     4 | 1400.000000 |
| MANAGER   |     3 | 2758.333333 |
| ANALYST   |     2 | 3000.000000 |
| PRESIDENT |     1 | 5000.000000 |
+-----------+-------+-------------+
5 rows in set (0.00 sec)

mysql>

1.2 多表查询

在进行多表查询的时候，其实本质上和单表查询是一样的，以下图中的 emp 和 dept 为例：

从第一张表中选出第一条记录，和第二张表中的所有记录进行组合
从第一张表中选取第二条记录，和第二张表中的所有记录进行组合
重复上述过程，直到第一张表中的所有记录都和第二张表的所有记录组合完毕
得到最终的组合记录表，现在就已经将两张表连接起来了
前面我们说过，“一切皆表” 的思维模式，在多表查询这里也同样适用，将多张表连接起来，看作是一张表
如果有过滤条件，按照条件对组合后的表进行筛选
显示最终结果

这个组合的过程和数学上的笛卡尔积类似

显示雇员名，雇员工资以及所在部门的名字

很明显，雇员名和雇员工资在 emp 表中，部门名字在 dept 表中，需要通过连接查询来实现

mysql> select * from dept;
+--------+------------+----------+
| deptno | dname      | loc      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+
4 rows in set (0.00 sec)

mysql> select ename,sal,dept.dname from emp,dept where emp.deptno = dept.deptno;
+--------+---------+------------+
| ename  | sal     | dname      |
+--------+---------+------------+
| SMITH  |  800.00 | RESEARCH   |
| ALLEN  | 1600.00 | SALES      |
| WARD   | 1250.00 | SALES      |
| JONES  | 2975.00 | RESEARCH   |
| MARTIN | 1250.00 | SALES      |
| BLAKE  | 2850.00 | SALES      |
| CLARK  | 2450.00 | ACCOUNTING |
| SCOTT  | 3000.00 | RESEARCH   |
| KING   | 5000.00 | ACCOUNTING |
| TURNER | 1500.00 | SALES      |
| ADAMS  | 1100.00 | RESEARCH   |
| JAMES  |  950.00 | SALES      |
| FORD   | 3000.00 | RESEARCH   |
| MILLER | 1300.00 | ACCOUNTING |
+--------+---------+------------+
14 rows in set (0.00 sec)

mysql>

显示部门号为 10 的部门名、雇员名和工资

mysql> select dept.dname,ename,sal from emp,dept where emp.deptno = dept.deptno and emp.deptno = 10;
+------------+--------+---------+
| dname      | ename  | sal     |
+------------+--------+---------+
| ACCOUNTING | CLARK  | 2450.00 |
| ACCOUNTING | KING   | 5000.00 |
| ACCOUNTING | MILLER | 1300.00 |
+------------+--------+---------+
3 rows in set (0.00 sec)

mysql>

显示各个雇员的姓名、工资和工资级别，并按照级别升序排序

mysql> select * from salgrade;
+-------+-------+-------+
| grade | losal | hisal |
+-------+-------+-------+
|     1 |   700 |  1200 |
|     2 |  1201 |  1400 |
|     3 |  1401 |  2000 |
|     4 |  2001 |  3000 |
|     5 |  3001 |  9999 |
+-------+-------+-------+
5 rows in set (0.01 sec)

mysql> select ename,sal,grade from emp,salgrade where emp.sal between losal and hisal order by grade;
+--------+---------+-------+
| ename  | sal     | grade |
+--------+---------+-------+
| SMITH  |  800.00 |     1 |
| ADAMS  | 1100.00 |     1 |
| JAMES  |  950.00 |     1 |
| WARD   | 1250.00 |     2 |
| MARTIN | 1250.00 |     2 |
| MILLER | 1300.00 |     2 |
| ALLEN  | 1600.00 |     3 |
| TURNER | 1500.00 |     3 |
| JONES  | 2975.00 |     4 |
| BLAKE  | 2850.00 |     4 |
| CLARK  | 2450.00 |     4 |
| SCOTT  | 3000.00 |     4 |
| FORD   | 3000.00 |     4 |
| KING   | 5000.00 |     5 |
+--------+---------+-------+
14 rows in set (0.00 sec)

mysql>

注：

在将多个表连接的时候，一定要有连接条件，就是两张表之间的关联字段
如果两张表都有的字段，要以表名.字段名的方式明确指定，避免歧义

1.3 自连接

自连接是指一张表与其自身进行连接查询

案例：

显示员工 “FORD” 的上级领导编号和姓名

使用子查询

mysql> select ename,empno from emp where empno = (select mgr from emp where ename = 'FORD');
+-------+--------+
| ename | empno  |
+-------+--------+
| JONES | 007566 |
+-------+--------+
1 row in set (0.00 sec)

mysql>

使用多表查询(自查询)

mysql> select leader.ename,leader.deptno from emp leader,emp worker where leader.empno = worker.mgr and worker.ename = 'FORD';
+-------+--------+
| ename | deptno |
+-------+--------+
| JONES |     20 |
+-------+--------+
1 row in set (0.00 sec)

mysql>

在上面的示例中使用自查询的时候，需要注意对表起别名，因为要区分两张表

mgr 是雇员的上级领导编号
empno 是雇员编号

1.4 子查询

子查询是指在另一个查询语句的 where 子句中出现的查询语句，也叫做嵌套查询(前面我们已经用过)

1.4.1 单行子查询

返回一行记录的子查询

显示 “SMITH” 同一部门的雇员

mysql> select * from emp where deptno = (select deptno from emp where ename = 'SMITH');
+--------+-------+---------+------+---------------------+---------+------+--------+
| empno  | ename | job     | mgr  | hiredate            | sal     | comm | deptno |
+--------+-------+---------+------+---------------------+---------+------+--------+
| 007369 | SMITH | CLERK   | 7902 | 1980-12-17 00:00:00 |  800.00 | NULL |     20 |
| 007566 | JONES | MANAGER | 7839 | 1981-04-02 00:00:00 | 2975.00 | NULL |     20 |
| 007788 | SCOTT | ANALYST | 7566 | 1987-04-19 00:00:00 | 3000.00 | NULL |     20 |
| 007876 | ADAMS | CLERK   | 7788 | 1987-05-23 00:00:00 | 1100.00 | NULL |     20 |
| 007902 | FORD  | ANALYST | 7566 | 1981-12-03 00:00:00 | 3000.00 | NULL |     20 |
+--------+-------+---------+------+---------------------+---------+------+--------+
5 rows in set (0.00 sec)

mysql>

1.4.2 多行子查询

返回多行记录的子查询

查询和 10 号部门的工作岗位相同的雇员名字、岗位、工资、部门号，但是不包含 10 号部门自己的

mysql> select ename,job,sal,deptno from emp where deptno != 10 and job in (select job from emp where deptno = 10);
+-------+---------+---------+--------+
| ename | job     | sal     | deptno |
+-------+---------+---------+--------+
| SMITH | CLERK   |  800.00 |     20 |
| JONES | MANAGER | 2975.00 |     20 |
| BLAKE | MANAGER | 2850.00 |     30 |
| ADAMS | CLERK   | 1100.00 |     20 |
| JAMES | CLERK   |  950.00 |     30 |
+-------+---------+---------+--------+
5 rows in set (0.00 sec)

mysql>

显示工资比部门 30 的所有员工的工资高的雇员姓名、工资和部门号，不包含 30 号部门的员工

mysql> select ename,sal,deptno from emp where deptno != 30 and sal > all (select sal from emp where deptno = 30) ;
+-------+---------+--------+
| ename | sal     | deptno |
+-------+---------+--------+
| JONES | 2975.00 |     20 |
| SCOTT | 3000.00 |     20 |
| KING  | 5000.00 |     10 |
| FORD  | 3000.00 |     20 |
+-------+---------+--------+
4 rows in set (0.00 sec)

mysql>

显示工资比部门 30 的任意员工的工资高的雇员姓名、工资和部门号，包含 30 号部门的员工

mysql> select ename,sal,deptno from emp where sal > any (select sal from emp where deptno = 30);
+--------+---------+--------+
| ename  | sal     | deptno |
+--------+---------+--------+
| ALLEN  | 1600.00 |     30 |
| WARD   | 1250.00 |     30 |
| JONES  | 2975.00 |     20 |
| MARTIN | 1250.00 |     30 |
| BLAKE  | 2850.00 |     30 |
| CLARK  | 2450.00 |     10 |
| SCOTT  | 3000.00 |     20 |
| KING   | 5000.00 |     10 |
| TURNER | 1500.00 |     30 |
| ADAMS  | 1100.00 |     20 |
| FORD   | 3000.00 |     20 |
| MILLER | 1300.00 |     10 |
+--------+---------+--------+
12 rows in set (0.00 sec)

mysql>

1.4.3 多列子查询

单行子查询是指子查询只返回单列，单行数据；多行子查询是指返回单列多行数据，都是针对单列而言的，而多列子查询是指查询返回多个列数据的子查询语句

查询和 “SMITH” 的部门和岗位完全相同的所有雇员，不包含 “SMITH” 本人

mysql> select * from emp where deptno = (select deptno from emp where ename = 'SMITH') and job = (select job from emp where ename = 'SMITH') and ename != 'SMITH';
+--------+-------+-------+------+---------------------+---------+------+--------+
| empno  | ename | job   | mgr  | hiredate            | sal     | comm | deptno |
+--------+-------+-------+------+---------------------+---------+------+--------+
| 007876 | ADAMS | CLERK | 7788 | 1987-05-23 00:00:00 | 1100.00 | NULL |     20 |
+--------+-------+-------+------+---------------------+---------+------+--------+
1 row in set (0.00 sec)

mysql>

1.4.4 在 from 子句中使用子查询

子查询语句出现在 from 子句中，这时候子查询的结果会被当作一个临时表来使用，再次体现了 “一切皆表” 的思维模式

显示每个高于自己部门平均工资的雇员姓名、部门、工资和平均工资

mysql> select ename,deptno,sal,dept_avg_sal from emp,
    -> (select deptno my_deptno,avg(sal) dept_avg_sal from emp group by deptno) tmp
    -> where emp.sal > tmp.dept_avg_sal and emp.deptno = tmp.my_deptno;
+-------+--------+---------+--------------+
| ename | deptno | sal     | dept_avg_sal |
+-------+--------+---------+--------------+
| ALLEN |     30 | 1600.00 |  1566.666667 |
| JONES |     20 | 2975.00 |  2175.000000 |
| BLAKE |     30 | 2850.00 |  1566.666667 |
| SCOTT |     20 | 3000.00 |  2175.000000 |
| KING  |     10 | 5000.00 |  2916.666667 |
| FORD  |     20 | 3000.00 |  2175.000000 |
+-------+--------+---------+--------------+
6 rows in set (0.00 sec)

mysql> select t1emp.ename,t1emp.deptno,t1emp.sal,t2emp.dept_avg_sal from
    -> (select ename,deptno,sal from emp) t1emp,
    -> (select deptno,avg(sal) dept_avg_sal from emp group by deptno) t2emp
    -> where t1emp.sal > t2emp.dept_avg_sal and t1emp.deptno = t2emp.deptno;
+-------+--------+---------+--------------+
| ename | deptno | sal     | dept_avg_sal |
+-------+--------+---------+--------------+
| ALLEN |     30 | 1600.00 |  1566.666667 |
| JONES |     20 | 2975.00 |  2175.000000 |
| BLAKE |     30 | 2850.00 |  1566.666667 |
| SCOTT |     20 | 3000.00 |  2175.000000 |
| KING  |     10 | 5000.00 |  2916.666667 |
| FORD  |     20 | 3000.00 |  2175.000000 |
+-------+--------+---------+--------------+
6 rows in set (0.00 sec)

mysql>

查找每个部门工资最高的雇员姓名、工资、部门和最高工资

mysql> select ename,sal,deptno,dept_max_sal from emp,
    -> (select max(sal) dept_max_sal,deptno tdeptno from emp group by deptno) tmp
    -> where sal = dept_max_sal and deptno = tdeptno;
+-------+---------+--------+--------------+
| ename | sal     | deptno | dept_max_sal |
+-------+---------+--------+--------------+
| BLAKE | 2850.00 |     30 |      2850.00 |
| SCOTT | 3000.00 |     20 |      3000.00 |
| KING  | 5000.00 |     10 |      5000.00 |
| FORD  | 3000.00 |     20 |      3000.00 |
+-------+---------+--------+--------------+
4 rows in set (0.00 sec)

mysql>

显示每个部门的信息(部门名、编号和地址)和人员数量

mysql> select dname,dept.deptno,loc,tmp.total from dept, (select count(*) total,deptno from emp group by deptno) tmp where dept.deptno = tmp.deptno;

+------------+--------+----------+-------+
| dname      | deptno | loc      | total |
+------------+--------+----------+-------+
| ACCOUNTING |     10 | NEW YORK |     3 |
| RESEARCH   |     20 | DALLAS   |     5 |
| SALES      |     30 | CHICAGO  |     6 |
+------------+--------+----------+-------+
3 rows in set (0.01 sec)

mysql>

1.4.5 合并查询

在实际应用中，为了合并多个 select 的执行结果，可以使用集合操作符 union，union all

1.4.5.1 union

union 可以获得两个结果集的并集，会自动去掉结果集中的重复行

查询工资大于 2500 或职位是 “MANAGER” 的雇员

mysql> select * from emp where sal > 2500 union select * from emp where job = 'MANAGER';
+-------+-------+-----------+------+---------------------+---------+------+--------+
| empno | ename | job       | mgr  | hiredate            | sal     | comm | deptno |
+-------+-------+-----------+------+---------------------+---------+------+--------+
|  7566 | JONES | MANAGER   | 7839 | 1981-04-02 00:00:00 | 2975.00 | NULL |     20 |
|  7698 | BLAKE | MANAGER   | 7839 | 1981-05-01 00:00:00 | 2850.00 | NULL |     30 |
|  7788 | SCOTT | ANALYST   | 7566 | 1987-04-19 00:00:00 | 3000.00 | NULL |     20 |
|  7839 | KING  | PRESIDENT | NULL | 1981-11-17 00:00:00 | 5000.00 | NULL |     10 |
|  7902 | FORD  | ANALYST   | 7566 | 1981-12-03 00:00:00 | 3000.00 | NULL |     20 |
|  7782 | CLARK | MANAGER   | 7839 | 1981-06-09 00:00:00 | 2450.00 | NULL |     10 |
+-------+-------+-----------+------+---------------------+---------+------+--------+
6 rows in set (0.00 sec)

mysql>

1.4.5.2 union all

union all 可以获取两个结果集的并集，不会去掉重复行

查询工资大于 2500 或职位是 “MANAGER” 的雇员

mysql> select * from emp where sal > 2500 union all select * from emp where job = 'MANAGER';
+-------+-------+-----------+------+---------------------+---------+------+--------+
| empno | ename | job       | mgr  | hiredate            | sal     | comm | deptno |
+-------+-------+-----------+------+---------------------+---------+------+--------+
|  7566 | JONES | MANAGER   | 7839 | 1981-04-02 00:00:00 | 2975.00 | NULL |     20 |
|  7698 | BLAKE | MANAGER   | 7839 | 1981-05-01 00:00:00 | 2850.00 | NULL |     30 |
|  7788 | SCOTT | ANALYST   | 7566 | 1987-04-19 00:00:00 | 3000.00 | NULL |     20 |
|  7839 | KING  | PRESIDENT | NULL | 1981-11-17 00:00:00 | 5000.00 | NULL |     10 |
|  7902 | FORD  | ANALYST   | 7566 | 1981-12-03 00:00:00 | 3000.00 | NULL |     20 |
|  7566 | JONES | MANAGER   | 7839 | 1981-04-02 00:00:00 | 2975.00 | NULL |     20 |
|  7698 | BLAKE | MANAGER   | 7839 | 1981-05-01 00:00:00 | 2850.00 | NULL |     30 |
|  7782 | CLARK | MANAGER   | 7839 | 1981-06-09 00:00:00 | 2450.00 | NULL |     10 |
+-------+-------+-----------+------+---------------------+---------+------+--------+
8 rows in set (0.00 sec)

mysql>

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