Last updated on January 21st, 2025 at 10:00 pm
Here, we see the Product Sales Analysis II LeetCode Solution. This Leetcode problem is solved using MySQL and Pandas.
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Level of Question
Easy

Product Sales Analysis II LeetCode Solution
Table of Contents
1. Problem Statement
Column Name | Type |
sale_id | int |
product_id | int |
year | int |
quantity | int |
price | int |
Sales
(sale_id, year) is the primary key (combination of columns with unique values) of this table.
product_id is a foreign key (reference column) to Product
table.
Each row of this table shows a sale on the product product_id in a certain year. Note that the price is per unit.
Column Name | Type |
product_id | int |
product_name | varchar |
Product
product_id is the primary key of this table.
Write an SQL query that reports the total quantity sold for every product id.
The result format is in the following example.
sale_id | product_id | year | quantity | price |
1 | 100 | 2008 | 10 | 5000 |
2 | 100 | 2009 | 12 | 5000 |
7 | 200 | 2011 | 15 | 9000 |
product_id | product_name |
100 | Nokia |
200 | Apple |
300 | Samsung |
Output:
product_id | total_quantity |
100 | 22 |
200 | 15 |
2. Code Implementation in Different Languages
2.1 Product Sales Analysis II MySQL
select product_id, sum(quantity) as total_quantity from Sales group by product_id;