Welcome to Subscribe On Youtube
1777. Product’s Price for Each Store
Description
Table: Products
+-------------+---------+
| Column Name | Type |
+-------------+---------+
| product_id | int |
| store | enum |
| price | int |
+-------------+---------+
In SQL, (product_id, store) is the primary key for this table.
store is a category of type ('store1', 'store2', 'store3') where each represents the store this product is available at.
price is the price of the product at this store.
Find the price of each product in each store.
Return the result table in any order.
The result format is in the following example.
Example 1:
Input: Products table: +-------------+--------+-------+ | product_id | store | price | +-------------+--------+-------+ | 0 | store1 | 95 | | 0 | store3 | 105 | | 0 | store2 | 100 | | 1 | store1 | 70 | | 1 | store3 | 80 | +-------------+--------+-------+ Output: +-------------+--------+--------+--------+ | product_id | store1 | store2 | store3 | +-------------+--------+--------+--------+ | 0 | 95 | 100 | 105 | | 1 | 70 | null | 80 | +-------------+--------+--------+--------+ Explanation: Product 0 price's are 95 for store1, 100 for store2 and, 105 for store3. Product 1 price's are 70 for store1, 80 for store3 and, it's not sold in store2.
Solutions
-
# Write your MySQL query statement below SELECT product_id, SUM(IF(store = 'store1', price, NULL)) AS store1, SUM(IF(store = 'store2', price, NULL)) AS store2, SUM(IF(store = 'store3', price, NULL)) AS store3 FROM Products GROUP BY 1;