Table: Customers
+---------------+---------+
| Column Name | Type |
+---------------+---------+
| customer_id | int |
| name | varchar |
+---------------+---------+
customer_id is the primary key 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 primary key 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 primary key for this table.
This table contains information about the Products.
Write an SQL query to find the most recent order(s) of each product.
Return the result table sorted 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 the order_id
in ascending order.
The query result format is in the following example:
Customers
+-------------+-----------+
| customer_id | name |
+-------------+-----------+
| 1 | Winston |
| 2 | Jonathan |
| 3 | Annabelle |
| 4 | Marwan |
| 5 | Khaled |
+-------------+-----------+
Orders
+----------+------------+-------------+------------+
| 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
+------------+--------------+-------+
| product_id | product_name | price |
+------------+--------------+-------+
| 1 | keyboard | 120 |
| 2 | mouse | 80 |
| 3 | screen | 600 |
| 4 | hard disk | 450 |
+------------+--------------+-------+
Result table:
+--------------+------------+----------+------------+
| 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 |
+--------------+------------+----------+------------+
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 don't include it in the result table.
来源:力扣(LeetCode) 链接:https://leetcode-cn.com/problems/the-most-recent-orders-for-each-product 著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明出处。
# Write your MySQL query statement below
select product_name, o.product_id, order_id, order_date
from Orders o left join Products p
using(product_id)
where (product_id, order_date) in
(
select product_id, max(order_date) order_date
from Orders
group by product_id
)
order by product_name, product_id, order_id