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1069. Product Sales Analysis II

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Description

Table: Sales

+-------------+-------+
| Column Name | Type  |
+-------------+-------+
| sale_id   | int   |
| product_id  | int   |
| year    | int   |
| quantity  | int   |
| price     | int   |
+-------------+-------+
(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.

 

Table: Product

+--------------+---------+
| Column Name  | Type  |
+--------------+---------+
| product_id   | int   |
| product_name | varchar |
+--------------+---------+
product_id is the primary key (column with unique values) of this table.
Each row of this table indicates the product name of each product.

 

Write a solution that reports the total quantity sold for every product id.

Return the resulting table in any order.

The result format is in the following example.

 

Example 1:

Input: 
Sales table:
+---------+------------+------+----------+-------+
| sale_id | product_id | year | quantity | price |
+---------+------------+------+----------+-------+ 
| 1     | 100    | 2008 | 10     | 5000  |
| 2     | 100    | 2009 | 12     | 5000  |
| 7     | 200    | 2011 | 15     | 9000  |
+---------+------------+------+----------+-------+
Product table:
+------------+--------------+
| product_id | product_name |
+------------+--------------+
| 100    | Nokia    |
| 200    | Apple    |
| 300    | Samsung    |
+------------+--------------+
Output: 
+--------------+----------------+
| product_id   | total_quantity |
+--------------+----------------+
| 100      | 22       |
| 200      | 15       |
+--------------+----------------+

Solutions

Solution 1

# Write your MySQL query statement below
SELECT product_id, SUM(quantity) AS total_quantity
FROM Sales
GROUP BY 1;

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