2024-07-05
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目录

题目描述:
示例:
思路解析:
参考代码:

题目描述:

js
表:Customers +---------------+---------+ | Column Name | Type | +---------------+---------+ | customer_id | int | | name | varchar | +---------------+---------+ customer_id 是该表具有唯一值的列 该表包含消费者的信息 表:Orders +---------------+---------+ | Column Name | Type | +---------------+---------+ | order_id | int | | order_date | date | | customer_id | int | | cost | int | +---------------+---------+ order_id 是该表具有唯一值的列 该表包含 id 为 customer_id 的消费者的订单信息 每一个消费者每天一笔订单 写一个解决方案,找到每个用户的最近三笔订单。如果用户的订单少于 3 笔,则返回他的全部订单。 返回的结果按照 customer_name 升序 排列。如果有相同的排名,则按照 customer_id 升序 排列。如果排名还有相同,则按照 order_date 降序排列。

示例:

js
输入: Customers +-------------+-----------+ | customer_id | name | +-------------+-----------+ | 1 | Winston | | 2 | Jonathan | | 3 | Annabelle | | 4 | Marwan | | 5 | Khaled | +-------------+-----------+ Orders +----------+------------+-------------+------+ | 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 | +----------+------------+-------------+------+ 输出: +---------------+-------------+----------+------------+ | 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 | +---------------+-------------+----------+------------+

思路解析:

这道题也是WITH subquery+窗口函数即可解答的题,但这题需要使用row_number()窗口函数,因为它仅需保留最近的3条记录,并不在乎是否有重复日期。

参考代码:

sql
with t1 as ( select c.name customer_name, c.customer_id, o.order_id, o.order_date, row_number() over(partition by c.customer_id order by o.order_date desc) rnk from Customers c join Orders o on c.customer_id=o.customer_id ) select customer_name, customer_id, order_id, order_date from t1 where rnk<=3 order by 1 asc, 2 asc, 4 desc
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