leetcode-problemset/leetcode-cn/originData/department-highest-salary.json

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            "title": "Department Highest Salary",
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            "content": "<p>Table: <code>Employee</code></p>\n\n<pre>\n+--------------+---------+\n| Column Name  | Type    |\n+--------------+---------+\n| id           | int     |\n| name         | varchar |\n| salary       | int     |\n| departmentId | int     |\n+--------------+---------+\nid is the primary key (column with unique values) for this table.\ndepartmentId is a foreign key (reference columns) of the ID from the <code>Department </code>table.\nEach row of this table indicates the ID, name, and salary of an employee. It also contains the ID of their department.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Table: <code>Department</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| id          | int     |\n| name        | varchar |\n+-------------+---------+\nid is the primary key (column with unique values) for this table. It is guaranteed that department name is not <code>NULL.</code>\nEach row of this table indicates the ID of a department and its name.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find employees who have the highest salary in each of the departments.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nEmployee table:\n+----+-------+--------+--------------+\n| id | name  | salary | departmentId |\n+----+-------+--------+--------------+\n| 1  | Joe   | 70000  | 1            |\n| 2  | Jim   | 90000  | 1            |\n| 3  | Henry | 80000  | 2            |\n| 4  | Sam   | 60000  | 2            |\n| 5  | Max   | 90000  | 1            |\n+----+-------+--------+--------------+\nDepartment table:\n+----+-------+\n| id | name  |\n+----+-------+\n| 1  | IT    |\n| 2  | Sales |\n+----+-------+\n<strong>Output:</strong> \n+------------+----------+--------+\n| Department | Employee | Salary |\n+------------+----------+--------+\n| IT         | Jim      | 90000  |\n| Sales      | Henry    | 80000  |\n| IT         | Max      | 90000  |\n+------------+----------+--------+\n<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.\n</pre>\n",
            "translatedTitle": "部门工资最高的员工",
            "translatedContent": "<p>表：&nbsp;<code>Employee</code></p>\n\n<pre>\n+--------------+---------+\n| 列名          | 类型    |\n+--------------+---------+\n| id           | int     |\n| name         | varchar |\n| salary       | int     |\n| departmentId | int     |\n+--------------+---------+\n在 SQL 中，id是此表的主键。\ndepartmentId 是 Department 表中 id 的外键（在 Pandas 中称为 join key）。\n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。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>表：&nbsp;<code>Department</code></p>\n\n<pre>\n+-------------+---------+\n| 列名         | 类型    |\n+-------------+---------+\n| id          | int     |\n| name        | varchar |\n+-------------+---------+\n在 SQL 中，id 是此表的主键列。\n此表的每一行都表示一个部门的 id 及其名称。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>查找出每个部门中薪资最高的员工。<br />\n按 <strong>任意顺序</strong> 返回结果表。<br />\n查询结果格式如下例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<b>输入：</b>\nEmployee 表:\n+----+-------+--------+--------------+\n| id | name  | salary | departmentId |\n+----+-------+--------+--------------+\n| 1  | Joe   | 70000  | 1            |\n| 2  | Jim   | 90000  | 1            |\n| 3  | Henry | 80000  | 2            |\n| 4  | Sam   | 60000  | 2            |\n| 5  | Max   | 90000  | 1            |\n+----+-------+--------+--------------+\nDepartment 表:\n+----+-------+\n| id | name  |\n+----+-------+\n| 1  | IT    |\n| 2  | Sales |\n+----+-------+\n<b>输出：</b>\n+------------+----------+--------+\n| Department | Employee | Salary |\n+------------+----------+--------+\n| IT         | Jim      | 90000  |\n| Sales      | Henry    | 80000  |\n| IT         | Max      | 90000  |\n+------------+----------+--------+\n<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>\n",
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                    "code": "import pandas as pd\n\ndef department_highest_salary(employee: pd.DataFrame, department: pd.DataFrame) -> pd.DataFrame:\n    ",
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            "sampleTestCase": "{\"headers\": {\"Employee\": [\"id\", \"name\", \"salary\", \"departmentId\"], \"Department\": [\"id\", \"name\"]}, \"rows\": {\"Employee\": [[1, \"Joe\", 70000, 1], [2, \"Jim\", 90000, 1], [3, \"Henry\", 80000, 2], [4, \"Sam\", 60000, 2], [5, \"Max\", 90000, 1]], \"Department\": [[1, \"IT\"], [2, \"Sales\"]]}}",
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                "Create table If Not Exists Employee (id int, name varchar(255), salary int, departmentId int)",
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                "Truncate table Employee",
                "insert into Employee (id, name, salary, departmentId) values ('1', 'Joe', '70000', '1')",
                "insert into Employee (id, name, salary, departmentId) values ('2', 'Jim', '90000', '1')",
                "insert into Employee (id, name, salary, departmentId) values ('3', 'Henry', '80000', '2')",
                "insert into Employee (id, name, salary, departmentId) values ('4', 'Sam', '60000', '2')",
                "insert into Employee (id, name, salary, departmentId) values ('5', 'Max', '90000', '1')",
                "Truncate table Department",
                "insert into Department (id, name) values ('1', 'IT')",
                "insert into Department (id, name) values ('2', 'Sales')"
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