{ "data": { "question": { "questionId": "185", "questionFrontendId": "185", "boundTopicId": null, "title": "Department Top Three Salaries", "titleSlug": "department-top-three-salaries", "content": "
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 for this table.\ndepartmentId is a foreign key 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 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 an SQL query to find the employees who are high earners in each of the departments.
\n\nReturn the result table in any order.
\n\nThe query 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": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Hard", "likes": 1063, "dislikes": 182, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\": {\"Employee\": [\"id\", \"name\", \"salary\", \"departmentId\"], \"Department\": [\"id\", \"name\"]}, \"rows\": {\"Employee\": [[1, \"Joe\", 85000, 1], [2, \"Henry\", 80000, 2], [3, \"Sam\", 60000, 2], [4, \"Max\", 90000, 1], [5, \"Janet\", 69000, 1], [6, \"Randy\", 85000, 1], [7, \"Will\", 70000, 1]], \"Department\": [[1, \"IT\"], [2, \"Sales\"]]}}", "categoryTitle": "Database", "contributors": [], "topicTags": [ { "name": "Database", "slug": "database", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "MySQL", "langSlug": "mysql", "code": "# Write your MySQL query statement below\n", "__typename": "CodeSnippetNode" }, { "lang": "MS SQL Server", "langSlug": "mssql", "code": "/* Write your T-SQL query statement below */\n", "__typename": "CodeSnippetNode" }, { "lang": "Oracle", "langSlug": "oraclesql", "code": "/* Write your PL/SQL query statement below */\n", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"164.6K\", \"totalSubmission\": \"349.8K\", \"totalAcceptedRaw\": 164562, \"totalSubmissionRaw\": 349781, \"acRate\": \"47.0%\"}", "hints": [], "solution": { "id": "212", "canSeeDetail": true, "paidOnly": false, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "{\"headers\": {\"Employee\": [\"id\", \"name\", \"salary\", \"departmentId\"], \"Department\": [\"id\", \"name\"]}, \"rows\": {\"Employee\": [[1, \"Joe\", 85000, 1], [2, \"Henry\", 80000, 2], [3, \"Sam\", 60000, 2], [4, \"Max\", 90000, 1], [5, \"Janet\", 69000, 1], [6, \"Randy\", 85000, 1], [7, \"Will\", 70000, 1]], \"Department\": [[1, \"IT\"], [2, \"Sales\"]]}}", "metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Employee (id int, name varchar(255), salary int, departmentId int)\",\n \"Create table If Not Exists Department (id int, name varchar(255))\"\n ],\n \"mssql\": [\n \"Create table Employee (id int, name varchar(255), salary int, departmentId int)\",\n \"Create table Department (id int, name varchar(255))\"\n ],\n \"oraclesql\": [\n \"Create table Employee (id int, name varchar(255), salary int, departmentId int)\",\n \"Create table Department (id int, name varchar(255))\"\n ],\n \"database\": true\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Employee (id int, name varchar(255), salary int, departmentId int)", "Create table If Not Exists Department (id int, name varchar(255))", "Truncate table Employee", "insert into Employee (id, name, salary, departmentId) values ('1', 'Joe', '85000', '1')", "insert into Employee (id, name, salary, departmentId) values ('2', 'Henry', '80000', '2')", "insert into Employee (id, name, salary, departmentId) values ('3', 'Sam', '60000', '2')", "insert into Employee (id, name, salary, departmentId) values ('4', 'Max', '90000', '1')", "insert into Employee (id, name, salary, departmentId) values ('5', 'Janet', '69000', '1')", "insert into Employee (id, name, salary, departmentId) values ('6', 'Randy', '85000', '1')", "insert into Employee (id, name, salary, departmentId) values ('7', 'Will', '70000', '1')", "Truncate table Department", "insert into Department (id, name) values ('1', 'IT')", "insert into Department (id, name) values ('2', 'Sales')" ], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"
MySQL 8.0
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mssql server 2019
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Oracle Sql 11.2
.