Table: Customers
+---------------+---------+ | Column Name | Type | +---------------+---------+ | customer_id | int | | name | varchar | +---------------+---------+ customer_id is the column with unique values for this table. This table contains information about the customers.
Table: Orders
+---------------+---------+ | Column Name | Type | +---------------+---------+ | order_id | int | | order_date | date | | customer_id | int | | product_id | int | +---------------+---------+ order_id is the column with unique values for this table. This table contains information about the orders made by customer_id. There will be no product ordered by the same user more than once in one day.
Table: Products
+---------------+---------+ | Column Name | Type | +---------------+---------+ | product_id | int | | product_name | varchar | | price | int | +---------------+---------+ product_id is the column with unique values for this table. This table contains information about the Products.
Write a solution to find the most recent order(s) of each product.
Return the result table ordered by product_name in ascending order and in case of a tie by the product_id in ascending order. If there still a tie, order them by order_id in ascending order.
The result format is in the following example.
Example 1:
Input: Customers table: +-------------+-----------+ | customer_id | name | +-------------+-----------+ | 1 | Winston | | 2 | Jonathan | | 3 | Annabelle | | 4 | Marwan | | 5 | Khaled | +-------------+-----------+ Orders table: +----------+------------+-------------+------------+ | order_id | order_date | customer_id | product_id | +----------+------------+-------------+------------+ | 1 | 2020-07-31 | 1 | 1 | | 2 | 2020-07-30 | 2 | 2 | | 3 | 2020-08-29 | 3 | 3 | | 4 | 2020-07-29 | 4 | 1 | | 5 | 2020-06-10 | 1 | 2 | | 6 | 2020-08-01 | 2 | 1 | | 7 | 2020-08-01 | 3 | 1 | | 8 | 2020-08-03 | 1 | 2 | | 9 | 2020-08-07 | 2 | 3 | | 10 | 2020-07-15 | 1 | 2 | +----------+------------+-------------+------------+ Products table: +------------+--------------+-------+ | product_id | product_name | price | +------------+--------------+-------+ | 1 | keyboard | 120 | | 2 | mouse | 80 | | 3 | screen | 600 | | 4 | hard disk | 450 | +------------+--------------+-------+ Output: +--------------+------------+----------+------------+ | product_name | product_id | order_id | order_date | +--------------+------------+----------+------------+ | keyboard | 1 | 6 | 2020-08-01 | | keyboard | 1 | 7 | 2020-08-01 | | mouse | 2 | 8 | 2020-08-03 | | screen | 3 | 3 | 2020-08-29 | +--------------+------------+----------+------------+ Explanation: keyboard's most recent order is in 2020-08-01, it was ordered two times this day. mouse's most recent order is in 2020-08-03, it was ordered only once this day. screen's most recent order is in 2020-08-29, it was ordered only once this day. The hard disk was never ordered and we do not include it in the result table.
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{"headers":{"Customers":["customer_id","name"],"Orders":["order_id","order_date","customer_id","product_id"],"Products":["product_id","product_name","price"]},"rows":{"Customers":[[1,"Winston"],[2,"Jonathan"],[3,"Annabelle"],[4,"Marwan"],[5,"Khaled"]],"Orders":[[1,"2020-07-31",1,1],[2,"2020-7-30",2,2],[3,"2020-08-29",3,3],[4,"2020-07-29",4,1],[5,"2020-06-10",1,2],[6,"2020-08-01",2,1],[7,"2020-08-01",3,1],[8,"2020-08-03",1,2],[9,"2020-08-07",2,3],[10,"2020-07-15",1,2]],"Products":[[1,"keyboard",120],[2,"mouse",80],[3,"screen",600],[4,"hard disk",450]]}}