题目描述

(通过次数5,893 | 提交次数8,629,通过率68.29%)

表: Customers
+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| customer_id   | int     |
| name          | varchar |
+---------------+---------+
customer_id 是该表主键.
该表包含消费者的信息.

表: Orders
+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| order_id      | int     |
| order_date    | date    |
| customer_id   | int     |
| product_id    | int     |
+---------------+---------+
order_id 是该表主键.
该表包含消费者customer_id产生的订单.
不会有商品被相同的用户在一天内下单超过一次.
 
表: Products
+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| product_id    | int     |
| product_name  | varchar |
| price         | int     |
+---------------+---------+
product_id 是该表主键.
该表包含所有商品的信息.

写一个SQL 语句, 找到每件商品的最新订单(可能有多个).
返回的结果以 product_name 升序排列, 如果有排序相同, 再以 product_id 升序排列. 如果还有排序相同, 再以 order_id 升序排列.
查询结果格式如下例所示。

示例 1:

输入:
Customers表:
+-------------+-----------+
| customer_id | name      |
+-------------+-----------+
| 1           | Winston   |
| 2           | Jonathan  |
| 3           | Annabelle |
| 4           | Marwan    |
| 5           | Khaled    |
+-------------+-----------+
Orders表:
+----------+------------+-------------+------------+
| 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表:
+------------+--------------+-------+
| product_id | product_name | price |
+------------+--------------+-------+
| 1          | keyboard     | 120   |
| 2          | mouse        | 80    |
| 3          | screen       | 600   |
| 4          | hard disk    | 450   |
+------------+--------------+-------+
输出:
+--------------+------------+----------+------------+
| 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 |
+--------------+------------+----------+------------+
解释:
keyboard 的最新订单在2020-08-01, 在这天有两次下单.
mouse 的最新订单在2020-08-03, 在这天只有一次下单.
screen 的最新订单在2020-08-29, 在这天只有一次下单.
hard disk 没有被下单, 我们不把它包含在结果表中.

来源:力扣(LeetCode)
链接:https://leetcode.cn/problems/the-most-recent-orders-for-each-product
//测试数据
Create table If Not Exists Customers (customer_id int, name varchar(10));
Create table If Not Exists Orders (order_id int, order_date date, customer_id int, product_id int);
Create table If Not Exists Products (product_id int, product_name varchar(20), price int);

insert into Customers (customer_id, name) values ('1', 'Winston');
insert into Customers (customer_id, name) values ('2', 'Jonathan');
insert into Customers (customer_id, name) values ('3', 'Annabelle');
insert into Customers (customer_id, name) values ('4', 'Marwan');
insert into Customers (customer_id, name) values ('5', 'Khaled');

insert into Orders (order_id, order_date, customer_id, product_id) values ('1', '2020-07-31', '1', '1');
insert into Orders (order_id, order_date, customer_id, product_id) values ('2', '2020-7-30', '2', '2');
insert into Orders (order_id, order_date, customer_id, product_id) values ('3', '2020-08-29', '3', '3');
insert into Orders (order_id, order_date, customer_id, product_id) values ('4', '2020-07-29', '4', '1');
insert into Orders (order_id, order_date, customer_id, product_id) values ('5', '2020-06-10', '1', '2');
insert into Orders (order_id, order_date, customer_id, product_id) values ('6', '2020-08-01', '2', '1');
insert into Orders (order_id, order_date, customer_id, product_id) values ('7', '2020-08-01', '3', '1');
insert into Orders (order_id, order_date, customer_id, product_id) values ('8', '2020-08-03', '1', '2');
insert into Orders (order_id, order_date, customer_id, product_id) values ('9', '2020-08-07', '2', '3');
insert into Orders (order_id, order_date, customer_id, product_id) values ('10', '2020-07-15', '1', '2');

insert into Products (product_id, product_name, price) values ('1', 'keyboard', '120');
insert into Products (product_id, product_name, price) values ('2', 'mouse', '80');
insert into Products (product_id, product_name, price) values ('3', 'screen', '600');
insert into Products (product_id, product_name, price) values ('4', 'hard disk', '450');

解题思路

1077. 项目员工 III一样,这道题考查的也是分组内排名,然后返回前N名的写法。

但是也有2点特殊要求:

第一,如果最新的一天有多条记录,那么都需要返回;

第二,对于返回的结果,需要按要求排序:返回的结果以 product_name 升序排列, 如果有排序相同, 再以 product_id 升序排列. 如果还有排序相同, 再以 order_id 升序排列;

那么,在实现上,也主要是分为以下3个步骤:

第一步,先计算出每个产品每个订单日期的排名(倒序),如果最新的日期内有多笔订单,则需要全部返回。

针对这类分组内排序后取前N名的需求,有三个分析函数可以使用,分别是:row_number、rank、dense_rank。

根据需求,这里比较适合使用的是rank和dense_rank,然后限定排序序号为1即可。

第二步,关联出返回结果中需要的product_name。可以使用product_id与Products关联,获取product_name的值。

第三步,使用order by子句,对返回的结果集进行排序。

参考SQL

未特别说明的情况下,参考SQL为基于MySQL8.0实现。
select
    c.product_name,
    b.product_id,
    b.order_id,
    b.order_date
from (
    select
        a.product_id,
        a.order_id,
        a.order_date,
        rank() over(partition by a.product_id order by order_date desc) rk
    from Orders a
)b
left join Products c
on b.product_id = c.product_id
where b.rk = 1
order by c.product_name,b.product_id,b.order_id;
picture loss