大数据面试SQL037 查询最近一笔有效订单

一、题目

现有订单表t_order_037,包含订单ID,订单时间,下单用户,当前订单是否有效

+---------+----------------------+----------+-----------+
| ord_id  |       ord_time       | user_id  | is_valid  |
+---------+----------------------+----------+-----------+
| 1       | 2023-12-11 12:01:03  | a        | 1         |
| 2       | 2023-12-11 12:02:06  | a        | 0         |
| 3       | 2023-12-11 12:03:15  | a        | 0         |
| 4       | 2023-12-11 12:04:20  | a        | 1         |
| 5       | 2023-12-11 12:05:03  | a        | 1         |
| 6       | 2023-12-11 12:01:02  | b        | 1         |
| 7       | 2023-12-11 12:03:03  | b        | 0         |
| 8       | 2023-12-11 12:04:01  | b        | 1         |
| 9       | 2023-12-11 12:07:03  | b        | 1         |
+---------+----------------------+----------+-----------+

请查询出每笔订单的上一笔有效订单,期望查询结果如下:

+---------+----------------------+----------+-----------+--------------------+
| ord_id  |       ord_time       | user_id  | is_valid  | last_valid_ord_id  |
+---------+----------------------+----------+-----------+--------------------+
| 1       | 2023-12-11 12:01:03  | a        | 1         | NULL               |
| 2       | 2023-12-11 12:02:06  | a        | 0         | 1                  |
| 3       | 2023-12-11 12:03:15  | a        | 0         | 1                  |
| 4       | 2023-12-11 12:04:20  | a        | 1         | 1                  |
| 5       | 2023-12-11 12:05:03  | a        | 1         | 4                  |
| 6       | 2023-12-11 12:01:02  | b        | 1         | NULL               |
| 7       | 2023-12-11 12:03:03  | b        | 0         | 6                  |
| 8       | 2023-12-11 12:04:01  | b        | 1         | 6                  |
| 9       | 2023-12-11 12:07:03  | b        | 1         | 8                  |
+---------+----------------------+----------+-----------+--------------------+

二、分析

本题是查询上一条记录的升级版本,所以考察的lag()函数,但是我们也不知道上一单是有效还是无效,所以这个题目难度就增加了很多。

维度 评分
题目难度 ⭐️⭐️⭐️⭐️
题目清晰度 ⭐️⭐️⭐️⭐️⭐️
业务常见度 ⭐️⭐️⭐️⭐️

三、SQL

1.先查询出有效订单,然后计算出每笔有效订单的上一单有效订单;

select 
	ord_id,
	ord_time,
	user_id,
	is_valid,
	lag(ord_id)over(partition by user_id order by ord_time asc) as last_valid_ord_id
from
(
  select
  	ord_id,
  	ord_time,
  	user_id,
  	is_valid
	from t_order_037
	where is_valid = 1
) t

查询结果

1

2.原始的明细数据与新的有效订单表按照用户进行关联,有效订单表的订单时间大于等于原始订单表;

with tmp as(
  -- 有效订单及其上一单有效记录
select 
	ord_id,
  	ord_time,
  	user_id,
  	is_valid,
	lag(ord_id)over(partition by user_id order by ord_time asc) as last_valid_ord_id
from
(
  select
  	ord_id,
  	ord_time,
  	user_id,
  	is_valid
	from t_order_037
	where is_valid = 1
) t
)
select
	t_order_037.*,
	tmp.*
from  
	t_order_037
left join tmp
on t_order_037.user_id = tmp.user_id
where t_order_037.ord_time <= tmp.ord_time

查询结果

2

3.使用row_number,原始订单记录表中的user_id、ord_id进行分组,按照有效订单表的时间排序,增加分组排序

with tmp as(
  -- 有效订单及其上一单有效记录
select 
	ord_id,
  	ord_time,
  	user_id,
  	is_valid,
	lag(ord_id)over(partition by user_id order by ord_time asc) as last_valid_ord_id
from
(
  select
  	ord_id,
  	ord_time,
  	user_id,
  	is_valid
	from t_order_037
	where is_valid = 1
) t
)
select
	t_order_037.*,
	tmp.*,
	row_number()over(partition by t_order_037.ord_id,t_order_037.user_id order by  tmp.ord_time  asc) as rn
from  
	t_order_037
left join tmp
on t_order_037.user_id = tmp.user_id
where t_order_037.ord_time <= tmp.ord_time

我们可以看出,最终我们需要的就是rn=1 的记录

3

4.去除冗余字段,筛选rn=1 的记录

with tmp as(
  -- 有效订单及其上一单有效记录
select 
	ord_id,
  	ord_time,
  	user_id,
  	is_valid,
	lag(ord_id)over(partition by user_id order by ord_time asc) as last_valid_ord_id
from
(
  select
  	ord_id,
  	ord_time,
  	user_id,
  	is_valid
	from t_order_037
	where is_valid = 1
) t
)
select 
* 
from
(
select
	t_order_037.*,
	tmp.last_valid_ord_id,
	row_number()over(partition by t_order_037.ord_id,t_order_037.user_id order by  tmp.ord_time  asc) as rn
from  
	t_order_037
left join tmp
on t_order_037.user_id = tmp.user_id
where t_order_037.ord_time <= tmp.ord_time
) tt
where rn = 1

查询结果

4

四、建表语句和数据插入

--建表语句
create table t_order_037
(
ord_id bigint COMMENT '订单ID',
ord_time string COMMENT '订单时间',
user_id string COMMENT '用户',
is_valid bigint COMMENT '订单是否有效'
) COMMENT '订单记录表'
stored as orc
;
-- 数据插入
insert into t_order_037(ord_id,ord_time,user_id,is_valid)
values
(1,'2023-12-11 12:01:03','a',1),
(2,'2023-12-11 12:02:06','a',0),
(3,'2023-12-11 12:03:15','a',0),
(4,'2023-12-11 12:04:20','a',1),
(5,'2023-12-11 12:05:03','a',1),
(6,'2023-12-11 12:01:02','b',1),
(7,'2023-12-11 12:03:03','b',0),
(8,'2023-12-11 12:04:01','b',1),
(9,'2023-12-11 12:07:03','b',1);