MySQL超过经理收入的员工
SQL结构
- SQL结构
- 题目描述
- 题解
- 方法 1:使用 WHERE 语句
- 方法 2:使用 JOIN 语句
Create table If Not Exists Employee (Id int, Name varchar(255), Salary int, ManagerId int);
Truncate table Employee
INSERT INTO `mysqldemo`.`Employee` (`Id`, `Name`, `Salary`, `ManagerId`) VALUES ('1', 'Joe', '70000', '3');
INSERT INTO `mysqldemo`.`Employee` (`Id`, `Name`, `Salary`, `ManagerId`) VALUES ('2', 'Henry', '80000', '4');
INSERT INTO `mysqldemo`.`Employee` (`Id`, `Name`, `Salary`, `ManagerId`) VALUES ('3', 'Sam', '60000', NULL);
INSERT INTO `mysqldemo`.`Employee` (`Id`, `Name`, `Salary`, `ManagerId`) VALUES ('4', 'Max', '90000', NULL);
题目描述
Employee 表包含所有员工,他们的经理也属于员工。每个员工都有一个 Id,此外还有一列对应员工的经理的 Id。
+----+-------+--------+-----------+
| Id | Name | Salary | ManagerId |
+----+-------+--------+-----------+
| 1 | Joe | 70000 | 3 |
| 2 | Henry | 80000 | 4 |
| 3 | Sam | 60000 | NULL |
| 4 | Max | 90000 | NULL |
+----+-------+--------+-----------+
给定 Employee 表,编写一个 SQL 查询,该查询可以获取收入超过他们经理的员工的姓名。在上面的表格中,Joe 是唯一一个收入超过他的经理的员工。
+----------+
| Employee |
+----------+
| Joe |
+----------+
题解
方法 1:使用 WHERE 语句
算法
如下面表格所示,表格里存有每个雇员经理的信息,我们也许需要从这个表里获取两次信息。
mysql> SELECT * FROM Employee AS a, Employee AS b;
+------+-------+--------+-----------+------+-------+--------+-----------+
| Id | Name | Salary | ManagerId | Id | Name | Salary | ManagerId |
+------+-------+--------+-----------+------+-------+--------+-----------+
| 1 | Joe | 70000 | 3 | 1 | Joe | 70000 | 3 |
| 2 | Henry | 80000 | 4 | 1 | Joe | 70000 | 3 |
| 3 | Sam | 60000 | NULL | 1 | Joe | 70000 | 3 |
| 4 | Max | 90000 | NULL | 1 | Joe | 70000 | 3 |
| 1 | Joe | 70000 | 3 | 2 | Henry | 80000 | 4 |
| 2 | Henry | 80000 | 4 | 2 | Henry | 80000 | 4 |
| 3 | Sam | 60000 | NULL | 2 | Henry | 80000 | 4 |
| 4 | Max | 90000 | NULL | 2 | Henry | 80000 | 4 |
| 1 | Joe | 70000 | 3 | 3 | Sam | 60000 | NULL |
| 2 | Henry | 80000 | 4 | 3 | Sam | 60000 | NULL |
| 3 | Sam | 60000 | NULL | 3 | Sam | 60000 | NULL |
| 4 | Max | 90000 | NULL | 3 | Sam | 60000 | NULL |
| 1 | Joe | 70000 | 3 | 4 | Max | 90000 | NULL |
| 2 | Henry | 80000 | 4 | 4 | Max | 90000 | NULL |
| 3 | Sam | 60000 | NULL | 4 | Max | 90000 | NULL |
| 4 | Max | 90000 | NULL | 4 | Max | 90000 | NULL |
+------+-------+--------+-----------+------+-------+--------+-----------+
16 rows in set (0.00 sec)
注意:关键词 ‘AS’ 是可选的
前 3 列来自表格 a ,后 3 列来自表格 b
从两个表里使用 Select 语句可能会导致产生 笛卡尔乘积 。在这种情况下,输出会产生 4*4=16 个记录。然而我们只对雇员工资高于经理的人感兴趣。所以我们应该用 WHERE 语句加 2 个判断条件。
SELECT
*
FROM
Employee AS a,
Employee AS b
WHERE
a.ManagerId = b.Id
AND a.Salary > b.Salary;
+------+------+--------+-----------+------+------+--------+-----------+
| Id | Name | Salary | ManagerId | Id | Name | Salary | ManagerId |
+------+------+--------+-----------+------+------+--------+-----------+
| 1 | Joe | 70000 | 3 | 3 | Sam | 60000 | NULL |
+------+------+--------+-----------+------+------+--------+-----------+
1 row in set (0.00 sec)
由于我们只需要输出雇员的名字,所以我们修改一下上面的代码,得到最终解法:
SELECT
a.Name AS 'Employee'
FROM
Employee AS a,
Employee AS b
WHERE
a.ManagerId = b.Id
AND a.Salary > b.Salary;
+----------+
| Employee |
+----------+
| Joe |
+----------+
1 row in set (0.00 sec)
方法 2:使用 JOIN 语句
算法
实际上, JOIN 是一个更常用也更有效的将表连起来的办法,我们使用 ON 来指明条件。
SELECT
a.NAME AS Employee
FROM Employee AS a JOIN Employee AS b
ON a.ManagerId = b.Id
AND a.Salary > b.Salary;
+----------+
| Employee |
+----------+
| Joe |
+----------+
1 row in set (0.00 sec)