Table: Employee
\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 column) of the ID from the Department table.\nEach row of this table indicates the ID, name, and salary of an employee. It also contains the ID of their department.\n\n\n\n\n
Table: Department
\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.\nEach row of this table indicates the ID of a department and its name.\n\n\n
\n\n
A company's executives are interested in seeing who earns the most money in each of the company's departments. A high earner in a department is an employee who has a salary in the top three unique salaries for that department.
\n\nWrite a solution to find the employees who are high earners in each of the departments.
\n\nReturn the result table in any order.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nEmployee table:\n+----+-------+--------+--------------+\n| id | name | salary | departmentId |\n+----+-------+--------+--------------+\n| 1 | Joe | 85000 | 1 |\n| 2 | Henry | 80000 | 2 |\n| 3 | Sam | 60000 | 2 |\n| 4 | Max | 90000 | 1 |\n| 5 | Janet | 69000 | 1 |\n| 6 | Randy | 85000 | 1 |\n| 7 | Will | 70000 | 1 |\n+----+-------+--------+--------------+\nDepartment table:\n+----+-------+\n| id | name |\n+----+-------+\n| 1 | IT |\n| 2 | Sales |\n+----+-------+\nOutput: \n+------------+----------+--------+\n| Department | Employee | Salary |\n+------------+----------+--------+\n| IT | Max | 90000 |\n| IT | Joe | 85000 |\n| IT | Randy | 85000 |\n| IT | Will | 70000 |\n| Sales | Henry | 80000 |\n| Sales | Sam | 60000 |\n+------------+----------+--------+\nExplanation: \nIn the IT department:\n- Max earns the highest unique salary\n- Both Randy and Joe earn the second-highest unique salary\n- Will earns the third-highest unique salary\n\nIn the Sales department:\n- Henry earns the highest salary\n- Sam earns the second-highest salary\n- There is no third-highest salary as there are only two employees\n\n", "translatedTitle": "部门工资前三高的所有员工", "translatedContent": "
表: Employee
\n+--------------+---------+\n| Column Name | Type |\n+--------------+---------+\n| id | int |\n| name | varchar |\n| salary | int |\n| departmentId | int |\n+--------------+---------+\nid 是该表的主键列(具有唯一值的列)。\ndepartmentId 是 Department 表中 ID 的外键（reference 列）。\n该表的每一行都表示员工的ID、姓名和工资。它还包含了他们部门的ID。\n\n\n
\n\n
表: Department
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| name | varchar |\n+-------------+---------+\nid 是该表的主键列(具有唯一值的列)。\n该表的每一行表示部门ID和部门名。\n\n\n
\n\n
公司的主管们感兴趣的是公司每个部门中谁赚的钱最多。一个部门的 高收入者 是指一个员工的工资在该部门的 不同 工资中 排名前三 。
\n\n编写解决方案，找出每个部门中 收入高的员工 。
\n\n以 任意顺序 返回结果表。
\n\n返回结果格式如下所示。
\n\n\n\n
示例 1:
\n\n\n输入: \nEmployee 表:\n+----+-------+--------+--------------+\n| id | name | salary | departmentId |\n+----+-------+--------+--------------+\n| 1 | Joe | 85000 | 1 |\n| 2 | Henry | 80000 | 2 |\n| 3 | Sam | 60000 | 2 |\n| 4 | Max | 90000 | 1 |\n| 5 | Janet | 69000 | 1 |\n| 6 | Randy | 85000 | 1 |\n| 7 | Will | 70000 | 1 |\n+----+-------+--------+--------------+\nDepartment 表:\n+----+-------+\n| id | name |\n+----+-------+\n| 1 | IT |\n| 2 | Sales |\n+----+-------+\n输出: \n+------------+----------+--------+\n| Department | Employee | Salary |\n+------------+----------+--------+\n| IT | Max | 90000 |\n| IT | Joe | 85000 |\n| IT | Randy | 85000 |\n| IT | Will | 70000 |\n| Sales | Henry | 80000 |\n| Sales | Sam | 60000 |\n+------------+----------+--------+\n解释:\n在IT部门:\n- Max的工资最高\n- 兰迪和乔都赚取第二高的独特的薪水\n- 威尔的薪水是第三高的\n\n在销售部:\n- 亨利的工资最高\n- 山姆的薪水第二高\n- 没有第三高的工资，因为只有两名员工\n", "isPaidOnly": false, "difficulty": "Hard", "likes": 829, "dislikes": 0, "isLiked": null, "similarQuestions": "[]", 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