Last updated on January 22nd, 2025 at 11:15 pm

Here, we see the List the Products Ordered in a Period LeetCode Solution. This Leetcode problem is solved using MySQL and Pandas.

List of all LeetCode Solution

Level of Question

Easy

List the Products Ordered in a Period LeetCode Solution

1. Problem Statement

Column Name	Type
product_id	int
product_name	varchar
product_category	varchar

product_id is the primary key (column with unique values) for this table. This table contains data about the company’s products.

Column Name	Type
product_id	int
order_date	date
unit	int

This table may have duplicate rows. product_id is a foreign key (reference column) to the Products table. unit is the number of products ordered in order_date.

Write a solution to get the names of products that have at least 100 units ordered in February 2020 and their amount.

Return the result table in any order.

The result format is in the following example.

Example 1:
Input:

product_id	product_name	product_category
1	Leetcode Solutions	Book
2	Jewels of Stringology	Book
3	HP	Laptop
4	Lenovo	Laptop
5	Leetcode Kit	T-shirt

product_id	order_date	unit
1	2020-02-05	60
1	2020-02-10	70
2	2020-01-18	30
2	2020-02-11	80
3	2020-02-17	2
3	2020-02-24	3
4	2020-03-01	20
4	2020-03-04	30
4	2020-03-04	60
5	2020-02-25	50
5	2020-02-27	50
5	2020-03-01	50

Output:

product_name	unit
Leetcode Solutions	130
Leetcode Kit	100

Explanation:
Products with product_id = 1 is ordered in February a total of (60 + 70) = 130.
Products with product_id = 2 is ordered in February a total of 80.
Products with product_id = 3 is ordered in February a total of (2 + 3) = 5.
Products with product_id = 4 was not ordered in February 2020.
Products with product_id = 5 is ordered in February a total of (50 + 50) = 100.

2. Code Implementation in Different Languages

2.1 List the Products Ordered in a Period MySQL

select 
  product_name, 
  sum(unit) as unit 
from 
  Orders as o 
  left join Products as p on o.product_id = p.product_id 
where 
  order_date between '2020-02-01' 
  and '2020-02-29' 
group by 
  o.product_id 
having 
  sum(unit) >= 100;