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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 25:1919.Leetcodify Similar Friends

1.Description

Table: Listens

+-------------+---------+
| Column Name | Type    |
+-------------+---------+
| user_id     | int     |
| song_id     | int     |
| day         | date    |
+-------------+---------+
There is no primary key for this table. It may contain duplicates.
Each row of this table indicates that the user user_id listened to the song song_id on the day day.

Table: Friendship

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| user1_id      | int     |
| user2_id      | int     |
+---------------+---------+
(user1_id, user2_id) is the primary key for this table.
Each row of this table indicates that the users user1_id and user2_id are friends.
Note that user1_id < user2_id.

Write an SQL query to report the similar friends of Leetcodify users. A user x and user y are similar friends if:

  • Users x and y are friends, and

  • Users x and y listened to the same three or more different songs on the same day.

Return the result table in any order. Note that you must return the similar pairs of friends the same way they were represented in the input (i.e., always user1_id < user2_id).

The query result format is in the following example:

Listens table:
+---------+---------+------------+
| user_id | song_id | day        |
+---------+---------+------------+
| 1       | 10      | 2021-03-15 |
| 1       | 11      | 2021-03-15 |
| 1       | 12      | 2021-03-15 |
| 2       | 10      | 2021-03-15 |
| 2       | 11      | 2021-03-15 |
| 2       | 12      | 2021-03-15 |
| 3       | 10      | 2021-03-15 |
| 3       | 11      | 2021-03-15 |
| 3       | 12      | 2021-03-15 |
| 4       | 10      | 2021-03-15 |
| 4       | 11      | 2021-03-15 |
| 4       | 13      | 2021-03-15 |
| 5       | 10      | 2021-03-16 |
| 5       | 11      | 2021-03-16 |
| 5       | 12      | 2021-03-16 |
+---------+---------+------------+

Friendship table:
+----------+----------+
| user1_id | user2_id |
+----------+----------+
| 1        | 2        |
| 2        | 4        |
| 2        | 5        |
+----------+----------+

Result table:
+----------+----------+
| user1_id | user2_id |
+----------+----------+
| 1        | 2        |
+----------+----------+

Users 1 and 2 are friends, and they listened to songs 10, 11, and 12 on the same day. They are similar friends.
Users 1 and 3 listened to songs 10, 11, and 12 on the same day, but they are not friends.
Users 2 and 4 are friends, but they did not listen to the same three different songs.
Users 2 and 5 are friends and listened to songs 10, 11, and 12, but they did not listen to them on the same day.

2.Create Table and insert into values

This exercise is expending from <Exercise 24:1917.Leetcodify Friends Recommendations>, so we still use the same tables.

  • leetcode.ex_1917_listens

  • leetcode.ex_1917_friendship

This question is similar to the 1917 question, we only need to change the join conditions of friendship table.

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Last updated 3 years ago