Project Notes

Department Highest Salary

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Description

tab: English
 
<p>Table: <code>Employee</code></p>
 
<pre>
+--------------+---------+
| Column Name  | Type    |
+--------------+---------+
| id           | int     |
| name         | varchar |
| salary       | int     |
| departmentId | int     |
+--------------+---------+
id is the primary key (column with unique values) for this table.
departmentId is a foreign key (reference columns) of the ID from the <code>Department </code>table.
Each row of this table indicates the ID, name, and salary of an employee. It also contains the ID of their department.
</pre>
 
<p>&nbsp;</p>
 
<p>Table: <code>Department</code></p>
 
<pre>
+-------------+---------+
| Column Name | Type    |
+-------------+---------+
| id          | int     |
| name        | varchar |
+-------------+---------+
id is the primary key (column with unique values) for this table. It is guaranteed that department name is not <code>NULL.</code>
Each row of this table indicates the ID of a department and its name.
</pre>
 
<p>&nbsp;</p>
 
<p>Write a solution to find employees who have the highest salary in each of the departments.</p>
 
<p>Return the result table in <strong>any order</strong>.</p>
 
<p>The result format is in the following example.</p>
 
<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
 
<pre>
<strong>Input:</strong> 
Employee table:
+----+-------+--------+--------------+
| 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 table:
+----+-------+
| id | name  |
+----+-------+
| 1  | IT    |
| 2  | Sales |
+----+-------+
<strong>Output:</strong> 
+------------+----------+--------+
| Department | Employee | Salary |
+------------+----------+--------+
| IT         | Jim      | 90000  |
| Sales      | Henry    | 80000  |
| IT         | Max      | 90000  |
+------------+----------+--------+
<strong>Explanation:</strong> Max and Jim both have the highest salary in the IT department and Henry has the highest salary in the Sales department.
</pre>
 
 
 
---
 
[submissions](https://leetcode.com/problems/department-highest-salary/submissions/) | [solutions](https://leetcode.com/problems/department-highest-salary/solutions/)
 
 
tab: 中文
 
<p>表：&nbsp;<code>Employee</code></p>
 
<pre>
+--------------+---------+
| 列名          | 类型    |
+--------------+---------+
| id           | int     |
| name         | varchar |
| salary       | int     |
| departmentId | int     |
+--------------+---------+
在 SQL 中，id是此表的主键。
departmentId 是 Department 表中 id 的外键（在 Pandas 中称为 join key）。
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。
</pre>
 
<p>&nbsp;</p>
 
<p>表：&nbsp;<code>Department</code></p>
 
<pre>
+-------------+---------+
| 列名         | 类型    |
+-------------+---------+
| id          | int     |
| name        | varchar |
+-------------+---------+
在 SQL 中，id 是此表的主键列。
此表的每一行都表示一个部门的 id 及其名称。
</pre>
 
<p>&nbsp;</p>
 
<p>查找出每个部门中薪资最高的员工。<br />
按 <strong>任意顺序</strong> 返回结果表。<br />
查询结果格式如下例所示。</p>
 
<p>&nbsp;</p>
 
<p><strong>示例 1:</strong></p>
 
<pre>
<b>输入：</b>
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 |
+----+-------+
<b>输出：</b>
+------------+----------+--------+
| Department | Employee | Salary |
+------------+----------+--------+
| IT         | Jim      | 90000  |
| Sales      | Henry    | 80000  |
| IT         | Max      | 90000  |
+------------+----------+--------+
<strong>解释：</strong>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。</pre>
 
 
 
---
 
[提交记录](https://leetcode.cn/problems/department-highest-salary/submissions/) | [题解](https://leetcode.cn/problems/department-highest-salary/solution/)

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