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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 11:1159.Market Analysis II

1.Description

Table: Users

+----------------+---------+
| Column Name    | Type    |
+----------------+---------+
| user_id        | int     |
| join_date      | date    |
| favorite_brand | varchar |
+----------------+---------+user_id is the primary key of this table.
This table has the info of the users of an online shopping website where users can sell and buy items.

Table: Orders

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| order_id      | int     |
| order_date    | date    |
| item_id       | int     |
| buyer_id      | int     |
| seller_id     | int     |
+---------------+---------+order_id is the primary key of this table.
item_id is a foreign key to the Items table.
buyer_id and seller_id are foreign keys to the Users table.

Table: Items

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| item_id       | int     |
| item_brand    | varchar |
+---------------+---------+item_id is the primary key of this table.

Write an SQL query to find for each user, whether the brand of the second item (by date) they sold is their favorite brand. If a user sold less than two items, report the answer for that user as no.

It is guaranteed that no seller sold more than one item on a day.

The query result format is in the following example:

Users table:
+---------+------------+----------------+
| user_id | join_date  | favorite_brand |
+---------+------------+----------------+
| 1       | 2019-01-01 | Lenovo         |
| 2       | 2019-02-09 | Samsung        |
| 3       | 2019-01-19 | LG             |
| 4       | 2019-05-21 | HP             |
+---------+------------+----------------+

Orders table:
+----------+------------+---------+----------+-----------+
| order_id | order_date | item_id | buyer_id | seller_id |
+----------+------------+---------+----------+-----------+
| 1        | 2019-08-01 | 4       | 1        | 2         |
| 2        | 2019-08-02 | 2       | 1        | 3         |
| 3        | 2019-08-03 | 3       | 2        | 3         |
| 4        | 2019-08-04 | 1       | 4        | 2         |
| 5        | 2019-08-04 | 1       | 3        | 4         |
| 6        | 2019-08-05 | 2       | 2        | 4         |
+----------+------------+---------+----------+-----------+

Items table:
+---------+------------+
| item_id | item_brand |
+---------+------------+
| 1       | Samsung    |
| 2       | Lenovo     |
| 3       | LG         |
| 4       | HP         |
+---------+------------+

Result table:
+-----------+--------------------+
| seller_id | 2nd_item_fav_brand |
+-----------+--------------------+
| 1         | no                 |
| 2         | yes                |
| 3         | yes                |
| 4         | no                 |
+-----------+--------------------+

The answer for the user with id 1 is no because they sold nothing.
The answer for the users with id 2 and 3 is yes because the brands of their second sold items are their favorite brands.
The answer for the user with id 4 is no because the brand of their second sold item is not their favorite brand.

2.Create Table and insert into values

create table if not exists leetcode.ex_1159_user
(user_id	string, join_date date,favorite_brand	string) stored as orc ;

INSERT INTO table leetcode.ex_1159_user VALUES
('1'  ,'2019-01-01','Lenovo'), 
('2'  ,'2019-02-09','Samsung'), 
('3'  ,'2019-01-19','LG'), 
('4'  ,'2019-05-21','HP') 
;

create table if not exists leetcode.ex_1159_orders
(order_id			string, 
 order_date 	date,
 item_id 			string,
 buyer_id			string,
 seller_id		string
) stored as orc ;

INSERT INTO table leetcode.ex_1159_orders VALUES
('1'  ,'2019-08-01' ,'4'  ,'1'  ,'2'),
('2 ' ,'2019-08-02' ,'2'  ,'1'  ,'3'),
('3 ' ,'2019-08-03' ,'3'  ,'2'  ,'3'), 
('4'  ,'2019-08-04' ,'1'  ,'4'  ,'2'),
('5 ' ,'2019-08-04' ,'1'  ,'3'  ,'4'),
('6 ' ,'2019-08-05' ,'2'  ,'2'  ,'4')
;

create table if not exists leetcode.ex_1159_items
(item_id	string, item_brand	string) stored as orc ;

INSERT INTO table leetcode.ex_1159_items VALUES
('1','Samsung'),('2','Lenovo'),('3','LG'),('4','HP') ; 

Result table要返回所有user_id,不管是否有order紀錄,注意JOIN的主表

The result table should return all user_id, regardless of whether the user has an order record, pay attention to the type of JOIN

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