1068. Product Sales Analysis I
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 to report the product_name, year, and price for each sale_id in the Sales table.
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_name | year | price | ±————-±——±——+ | Nokia | 2008 | 5000 | | Nokia | 2009 | 5000 | | Apple | 2011 | 9000 | ±————-±——±——+ Explanation: From sale_id = 1, we can conclude that Nokia was sold for 5000 in the year 2008. From sale_id = 2, we can conclude that Nokia was sold for 5000 in the year 2009. From sale_id = 7, we can conclude that Apple was sold for 9000 in the year 2011.
From: LeetCode Link: 1068. Product Sales Analysis I
Solution:
Ideas:
This joins Sales with Product by product_id, then selects the required columns: product_name, year, and price.
Code:
# Write your MySQL query statement below
SELECT p.product_name, s.year, s.price
FROM Sales s
JOIN Product p
ON s.product_id = p.product_id;

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