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Hands-On Leetcode Database Solution with Hive SQL
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  • INTRODUCTION
    • About This Book
    • 作者簡介
  • Exercise 1:185.Department Top Three Salaries
    • Hive Solution
  • Exercise 2:262. Trips and Users
    • Hive Solution
  • Exercise 3:569.Median Employee Salary
    • Hive Solution
  • Exercise 4:571.Find Median Given Frequency of Numbers
    • Hive Solution
  • Exercise 5:579.Find Cumulative Salary Of An Employee Problem
    • Hive Solution
  • Exercise 6:601.Human Traffic of Stadium
    • Hive Solution
  • Exercise 7:615.Average Salary: Departments VS Company
    • Hive Solution
  • Exercise 8:618.Students Report By Geography
    • Hive Solution
  • Exercise 9:1097.Game Play Analysis V
    • Hive Solution
  • Exercise 10:1127.User Purchase Platform
    • Hive Solution
  • Exercise 11:1159.Market Analysis II
    • Hive Solution
  • Exercise 12:1194.Tournament Winners
    • Hive Solution
  • Exercise 13:1225.Report Contiguous Dates
    • Hive Solution
  • Exercise 14:1336.The number of transactions per visit
    • Hive Solution
  • Exercise 15:1369.Get The Second Most Recent Activity
    • Hive Solution
  • Exercise 16:1384.Total Sales Amount by Year
    • Hive Solution
  • Exercise 17:1412.Find the Quiet Students in All Exams
    • Hive Solution
  • Exercise 18:1479. Sales by Day of the Week
    • Hive Solution
  • Exercise 19:1635. Hopper Company Queries I
    • Hive Solution
  • Exercise 20:1645. Hopper Company Queries II
    • Hive Solution
  • Exercise21 :1651. Hopper Company Queries III
    • Hive Solution
  • Exercise 22:1767.Find the Subtasks That Did Not Execute
    • Hive Solution
  • Exercise 23:1892.Page Recommendations II
    • Hive Solution
  • Exercise 24:1917.Leetcodify Friends Recommendations
    • Hive Solution
  • Exercise 25:1919.Leetcodify Similar Friends
    • Hive Solution
  • Exercise 26:1972.First and Last Call On the Same Day
    • Hive Solution
  • Exercise 27:2004.The Number of Seniors and Juniors to Join the Company
    • Hive Solution
  • Exercise 28:2010.The Number of Seniors and Juniors to Join the Company II
    • Hive Solution
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  • 1 Description
  • 2 Create Table and insert into values

Exercise 1:185.Department Top Three Salaries

1 Description

Table: Employee

+--------------+---------+
| Column Name  | Type    |
+--------------+---------+
| id           | int     |
| name         | varchar |
| salary       | int     |
| departmentId | int     |
+--------------+---------+
id is the primary key column for this table.
departmentId is a foreign key of the ID from the Department table.
Each row of this table indicates the ID, name, and salary of an employee. It also contains the ID of their department.

Table: Department

+-------------+---------+
| Column Name | Type    |
+-------------+---------+
| id          | int     |
| name        | varchar |
+-------------+---------+
id is the primary key column for this table.
Each row of this table indicates the ID of a department and its name.

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.

Write an SQL query to find the employees who are high earners in each of the departments.

Return the result table in any order.

The query result format is in the following example.

Example 1:

Input: 
Employee table:
+----+-------+--------+--------------+
| id | name  | salary | departmentId |
+----+-------+--------+--------------+
| 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 table:
+----+-------+
| id | name  |
+----+-------+
| 1  | IT    |
| 2  | Sales |
+----+-------+
Output: 
+------------+----------+--------+
| Department | Employee | Salary |
+------------+----------+--------+
| IT         | Max      | 90000  |
| IT         | Joe      | 85000  |
| IT         | Randy    | 85000  |
| IT         | Will     | 70000  |
| Sales      | Henry    | 80000  |
| Sales      | Sam      | 60000  |
+------------+----------+--------+
Explanation: 
In the IT department:
- Max earns the highest unique salary
- Both Randy and Joe earn the second-highest unique salary
- Will earns the third-highest unique salary

In the Sales department:
- Henry earns the highest salary
- Sam earns the second-highest salary
- There is no third-highest salary as there are only two employees

2 Create Table and insert into values

 -- create table and insert into values
create table if not exists leetcode.ex_185_employee
(
 id string,
 name	string,
 salary int,
 department_id string
) comment '員工表' stored as orc ;

INSERT INTO table leetcode.ex_185_employee  VALUES
('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')  

create table if not exists leetcode.ex_185_department
(id	string, 
 name	string
) comment '部門表'  stored as orc ;

INSERT INTO table leetcode.ex_185_department VALUES
('1'  , 'IT'   ),
('2'  , 'Sales')

According to the exercise's description, we have to think about using the ranking window function. (Because window functions operate on a set of rows and return a single value for each row from the underlying query)

Pay attention to the return result, it requires the top three unique salaries for that department but returns 4 data for the IT department, which means that the rank is the same for the same salary.

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Last updated 3 years ago