🙌
Hands-On Leetcode Database Solution with Hive SQL
(Online Course)Learning SQL with meMy BlogAbout meFollow me on FBFollow my IG
  • 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
Powered by GitBook
On this page
  • 1.Description
  • 2.Create Table and insert into values

Exercise 18:1479. Sales by Day of the Week

1.Description

Table: Orders

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| order_id      | int     |
| customer_id   | int     |
| order_date    | date    | 
| item_id       | varchar |
| quantity      | int     |
+---------------+---------+
(ordered_id, item_id) is the primary key for this table.
This table contains information of the orders placed.
order_date is the date when item_id was ordered by the customer with id customer_id.

Table: Items

+---------------------+---------+
| Column Name         | Type    |
+---------------------+---------+
| item_id             | varchar |
| item_name           | varchar |
| item_category       | varchar |
+---------------------+---------+
item_id is the primary key for this table.
item_name is the name of the item.
item_category is the category of the item.

You are the business owner and would like to obtain a sales report for category items and day of the week.

Write an SQL query to report how many units in each category have been ordered on each day of the week.

Return the result table ordered by category.

The query result format is in the following example:

Orders table:
+------------+--------------+-------------+--------------+-------------+
| order_id   | customer_id  | order_date  | item_id      | quantity    |
+------------+--------------+-------------+--------------+-------------+
| 1          | 1            | 2020-06-01  | 1            | 10          |
| 2          | 1            | 2020-06-08  | 2            | 10          |
| 3          | 2            | 2020-06-02  | 1            | 5           |
| 4          | 3            | 2020-06-03  | 3            | 5           |
| 5          | 4            | 2020-06-04  | 4            | 1           |
| 6          | 4            | 2020-06-05  | 5            | 5           |
| 7          | 5            | 2020-06-05  | 1            | 10          |
| 8          | 5            | 2020-06-14  | 4            | 5           |
| 9          | 5            | 2020-06-21  | 3            | 5           |
+------------+--------------+-------------+--------------+-------------+

Items table:
+------------+----------------+---------------+
| item_id    | item_name      | item_category |
+------------+----------------+---------------+
| 1          | LC Alg. Book   | Book          |
| 2          | LC DB. Book    | Book          |
| 3          | LC SmarthPhone | Phone         |
| 4          | LC Phone 2020  | Phone         |
| 5          | LC SmartGlass  | Glasses       |
| 6          | LC T-Shirt XL  | T-Shirt       |
+------------+----------------+---------------+

Result table:
+------------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+
| Category   | Monday    | Tuesday   | Wednesday | Thursday  | Friday    | Saturday  | Sunday    |
+------------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+
| Book       | 20        | 5         | 0         | 0         | 10        | 0         | 0         |
| Glasses    | 0         | 0         | 0         | 0         | 5         | 0         | 0         |
| Phone      | 0         | 0         | 5         | 1         | 0         | 0         | 10        |
| T-Shirt    | 0         | 0         | 0         | 0         | 0         | 0         | 0         |
+------------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+
On Monday (2020-06-01, 2020-06-08) were sold a total of 20 units (10 + 10) in the category Book (ids: 1, 2).
On Tuesday (2020-06-02) were sold a total of 5 units  in the category Book (ids: 1, 2).
On Wednesday (2020-06-03) were sold a total of 5 units in the category Phone (ids: 3, 4).
On Thursday (2020-06-04) were sold a total of 1 unit in the category Phone (ids: 3, 4).
On Friday (2020-06-05) were sold 10 units in the category Book (ids: 1, 2) and 5 units in Glasses (ids: 5).
On Saturday there are no items sold.
On Sunday (2020-06-14, 2020-06-21) were sold a total of 10 units (5 +5) in the category Phone (ids: 3, 4).
There are no sales of T-Shirt.

2.Create Table and insert into values

create table if not exists leetcode.ex_1479_orders
(order_id 	string, 
customer_id string,
order_date	date,
item_id			string,
quantity		int 
) stored as orc ;

INSERT INTO table leetcode.ex_1479_orders VALUES
('1','1','2020-06-01','1','10'),
('2','1','2020-06-08','2','10'),
('3','2','2020-06-02','1','5'),
('4','3','2020-06-03','3','5'), 
('5','4','2020-06-04','4','1'),
('6','4','2020-06-05','5','5'),
('7','5','2020-06-05','1','10'), 
('8','5','2020-06-14','4','5'), 
('9','5','2020-06-21','3','5') 
;
create table if not exists leetcode.ex_1479_items
(item_id				string,
 item_name			string,
 item_category	string
) stored as orc ;

INSERT INTO table leetcode.ex_1479_items VALUES
('1','LC Alg. Book','Book'),
('2','LC DB. Book','Book'),
('3','LC SmarthPhone','Phone'),
('4','LC Phone 2020','Phone'),
('5','LC SmartGlass','Glasses'),
('6','LC T-Shirt XL','T-Shirt') 
;

There is no function for the day of the week in Hive (SQL is dayofweek()), but it can be implemented with datediff() and pmod()

方法:pmod(datediff('date', '2012-01-01'), 7)  

2012-01-01 is Sunday, the above function returns "0-6" ("0-6" means "Sunday-Saturday" respectively)

Hive中沒有內建星期幾的函數(SQL是dayofweek()),可使用日期相减函数(datediff())及取余函数pmod()配合實現

2012-01-01為星期日,上述函數返回值为“0-6”(“0-6”分别表示“星期日-星期六)

PreviousHive SolutionNextHive Solution

Last updated 3 years ago