表: Employee
这里是引用
±-------------±--------+
| 列名 | 类型 |
±-------------±--------+
| id | int |
| name | varchar |
| salary | int |
| departmentId | int |
±-------------±--------+
id是此表的主键列。
departmentId是Department表中ID的外键。
此表的每一行都表示员工的ID、姓名和工资。它还包含他们所在部门的ID。
输入:
Employee 表:
±—±------±-------±-------------+
| id | name | salary | departmentId |
±—±------±-------±-------------+
| 1 | Joe | 70000 | 1 |
| 2 | Jim | 90000 | 1 |
| 3 | Henry | 80000 | 2 |
| 4 | Sam | 60000 | 2 |
| 5 | Max | 90000 | 1 |
±—±------±-------±-------------+
Department 表:
±—±------+
| id | name |
±—±------+
| 1 | IT |
| 2 | Sales |
±—±------+
输出:
±-----------±---------±-------+
| Department | Employee | Salary |
±-----------±---------±-------+
| IT | Jim | 90000 |
| Sales | Henry | 80000 |
| IT | Max | 90000 |
±-----------±---------±-------+
解释:Max 和 Jim 在 IT 部门的工资都是最高的,Henry 在销售部的工资最高。
# Write your MySQL query statement below
select
Department.name as 'Department',
Employee.name as 'Employee',
Employee.salary as Salary
from
Employee
join
Department on Employee.departmentId = Department.id
where
(Employee.departmentId , Employee.salary) in
( select
departmentId,max(salary)
from
Employee
group by departmentId
);
这样的代码也可以,但是针对薪资同样高的人,名字会不同,但是group by会自动帮我们去重一个,而且这样做也会有问题,因为对departmentId 分的组,但是我们字段却有name,这个name的数量和分组的数量可不一定相同,所以会出bug。
select
departmentId,name,max(salary)
from
Employee
group by departmentId