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https://gitee.com/coder-xiaomo/leetcode-problemset
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102 lines
9.5 KiB
JSON
102 lines
9.5 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "185",
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"questionFrontendId": "185",
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"boundTopicId": null,
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"title": "Department Top Three Salaries",
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"titleSlug": "department-top-three-salaries",
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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 column) 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> </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.\nEach row of this table indicates the ID of a department and its name.\n</pre>\n\n<p> </p>\n\n<p>A company's executives are interested in seeing who earns the most money in each of the company's departments. A <strong>high earner</strong> in a department is an employee who has a salary in the <strong>top three unique</strong> salaries for that department.</p>\n\n<p>Write a solution to find the employees who are <strong>high earners</strong> in each of the departments.</p>\n\n<p>Return the result table <strong>in any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </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 | 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+----+-------+\n<strong>Output:</strong> \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<strong>Explanation:</strong> \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</pre>\n",
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"translatedTitle": null,
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"isPaidOnly": false,
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"difficulty": "Hard",
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"likes": 1885,
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"similarQuestions": "[]",
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"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\"]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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{
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"name": "Database",
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Write your MySQL query statement below\n",
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* Write your T-SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Oracle",
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef top_three_salaries(employee: pd.DataFrame, department: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"hints": [],
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"solution": {
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"id": "212",
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"__typename": "ArticleNode"
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},
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"status": null,
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"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\"]]}}",
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"metaData": "{\"mysql\": [\"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))\"], \"mssql\": [\"Create table Employee (id int, name varchar(255), salary int, departmentId int)\", \"Create table Department (id int, name varchar(255))\"], \"oraclesql\": [\"Create table Employee (id int, name varchar(255), salary int, departmentId int)\", \"Create table Department (id int, name varchar(255))\"], \"database\": true, \"name\": \"top_three_salaries\", \"pythondata\": [\"Employee = pd.DataFrame([], columns=['id', 'name', 'salary', 'departmentId']).astype({'id':'Int64', 'name':'object', 'salary':'Int64', 'departmentId':'Int64'})\", \"Department = pd.DataFrame([], columns=['id', 'name']).astype({'id':'Int64', 'name':'object'})\"], \"postgresql\": [\"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\"], \"database_schema\": {\"Employee\": {\"id\": \"INT\", \"name\": \"VARCHAR(255)\", \"salary\": \"INT\", \"departmentId\": \"INT\"}, \"Department\": {\"id\": \"INT\", \"name\": \"VARCHAR(255)\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Employee (id int, name varchar(255), salary int, departmentId int)",
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"Create table If Not Exists Department (id int, name varchar(255))",
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"Truncate table Employee",
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"insert into Employee (id, name, salary, departmentId) values ('1', 'Joe', '85000', '1')",
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"insert into Employee (id, name, salary, departmentId) values ('2', 'Henry', '80000', '2')",
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"insert into Employee (id, name, salary, departmentId) values ('3', 'Sam', '60000', '2')",
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"insert into Employee (id, name, salary, departmentId) values ('4', 'Max', '90000', '1')",
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"insert into Employee (id, name, salary, departmentId) values ('5', 'Janet', '69000', '1')",
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"insert into Employee (id, name, salary, departmentId) values ('6', 'Randy', '85000', '1')",
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"insert into Employee (id, name, salary, departmentId) values ('7', 'Will', '70000', '1')",
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"Truncate table Department",
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"insert into Department (id, name) values ('1', 'IT')",
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"insert into Department (id, name) values ('2', 'Sales')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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