加入小于日期并对金额求和（雪花）

Question

我对客户的购买有异议 table：

	CLOSED_DATE	OPP_AMOUNT
0	1/4/2022	6600
1	2/17/2022	9125

和费用 table 日期：

	CHARGE_DATE
0	2022-01-03 0:00:00
1	2022-01-04 0:00:00
2	2022-03-15 0:00:00
3	2022-03-15 0:00:00
4	2022-04-15 0:00:00
5	2022-04-15 0:00:00

对于每笔费用，我想知道那个时间点的总购买量（以及之前日期的首次购买量）：

	CHARGE_DATE	Target
0	2022-01-03 0:00:00	6600
1	2022-01-04 0:00:00	6600
2	2022-03-15 0:00:00	15725
3	2022-03-15 0:00:00	15725
4	2022-04-15 0:00:00	15725
5	2022-04-15 0:00:00	15725

尝试加入 charge_date<=closed_date 但这会多次带来数字，有什么想法吗？

Answer 1

一种做法可以如下-

select distinct c.id,charge_date, sum(amount) over (partition by c.id order by c.id) 
as target from charge_date c left outer
join closed_date d on closed_date<=charge_date order by c.id;


+----+-------------------------+--------+
| ID | CHARGE_DATE             | TARGET |
|----+-------------------------+--------|
|  0 | 2022-01-03 00:00:00.000 |   NULL |
|  1 | 2022-01-04 00:00:00.000 |   6600 |
|  2 | 2022-03-15 00:00:00.000 |  15725 |
|  3 | 2022-03-15 00:00:00.000 |  15725 |
|  4 | 2022-04-15 00:00:00.000 |  15725 |
|  5 | 2022-04-15 00:00:00.000 |  15725 |
+----+-------------------------+--------+

加入小于日期并对金额求和（雪花）

Join on smaller than date and sum the amounts (snowflake)

sql

snowflake-cloud-data-platform