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发布于 2024-06-17 01:03:18 字数 4719 浏览 0 评论 0 收藏 0

1532. The Most Recent Three Orders

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Description

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 customers.

 

Table: Orders

+---------------+---------+
| Column Name   | Type  |
+---------------+---------+
| order_id    | int   |
| order_date  | date  |
| customer_id   | int   |
| cost      | int   |
+---------------+---------+
order_id is the column with unique values for this table.
This table contains information about the orders made by customer_id.
Each customer has one order per day.

 

Write a solution to find the most recent three orders of each user. If a user ordered less than three orders, return all of their orders.

Return the result table ordered by customer_name in ascending order and in case of a tie by the customer_id in ascending order. If there is still a tie, order them by order_date in descending 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 | cost |
+----------+------------+-------------+------+
| 1    | 2020-07-31 | 1       | 30   |
| 2    | 2020-07-30 | 2       | 40   |
| 3    | 2020-07-31 | 3       | 70   |
| 4    | 2020-07-29 | 4       | 100  |
| 5    | 2020-06-10 | 1       | 1010 |
| 6    | 2020-08-01 | 2       | 102  |
| 7    | 2020-08-01 | 3       | 111  |
| 8    | 2020-08-03 | 1       | 99   |
| 9    | 2020-08-07 | 2       | 32   |
| 10     | 2020-07-15 | 1       | 2  |
+----------+------------+-------------+------+
Output: 
+---------------+-------------+----------+------------+
| customer_name | customer_id | order_id | order_date |
+---------------+-------------+----------+------------+
| Annabelle   | 3       | 7    | 2020-08-01 |
| Annabelle   | 3       | 3    | 2020-07-31 |
| Jonathan    | 2       | 9    | 2020-08-07 |
| Jonathan    | 2       | 6    | 2020-08-01 |
| Jonathan    | 2       | 2    | 2020-07-30 |
| Marwan    | 4       | 4    | 2020-07-29 |
| Winston     | 1       | 8    | 2020-08-03 |
| Winston     | 1       | 1    | 2020-07-31 |
| Winston     | 1       | 10     | 2020-07-15 |
+---------------+-------------+----------+------------+
Explanation: 
Winston has 4 orders, we discard the order of "2020-06-10" because it is the oldest order.
Annabelle has only 2 orders, we return them.
Jonathan has exactly 3 orders.
Marwan ordered only one time.
We sort the result table by customer_name in ascending order, by customer_id in ascending order, and by order_date in descending order in case of a tie.

 

Follow up: Could you write a general solution for the most recent n orders?

Solutions

Solution 1: Equi-Join + Window Function

We can use an equi-join to join the Customers table and the Orders table based on customer_id, and then use the window function row_number() to sort the orders for each customer by order_date in descending order and assign a row number to each order. Finally, we can filter out the orders with a row number less than or equal to $3$.

# Write your MySQL query statement below
WITH
  T AS (
    SELECT
      *,
      ROW_NUMBER() OVER (
        PARTITION BY customer_id
        ORDER BY order_date DESC
      ) AS rk
    FROM
      Orders
      JOIN Customers USING (customer_id)
  )
SELECT name AS customer_name, customer_id, order_id, order_date
FROM T
WHERE rk <= 3
ORDER BY 1, 2, 4 DESC;

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