SQL Server 根据不同的标志计算累积总和/条件运行总和
我在 SQL Server 中有一个表，其中的数据类似于此示例.
I have a table in SQL Server with data looking like this example.
ID Flag Art.No Amount
1 U A1000 -100
2 U B2000 -5
3 V B2000 900
4 U B2000 -10
5 I B2000 50
6 U B2000 -20
7 U A1000 -50
8 I A1000 1000
9 V A1000 3600
10 U A1000 -500
11 U A1000 -100
12 U A1000 -2000
13 I A1000 2000
14 U A1000 -1000
15 I C3000 10000
16 U C3000 -4000
17 U B2000 -5
18 U B2000 -5
19 I B2000 40
20 V B2000 200
21 U A1000 -500
22 U B2000 -50
23 U C3000 -1000
我想根据交易计算累积价值.我的问题是该表包含 3 种类型的交易.
I want to calculate ackumulated value based on the transactions. My problem is that the table contains 3 types of transactions.
- 标记 U - 销售
- Flag I - 进货
- Flag V - 盘点
当标志 U 和 I 出现时，数量代表变化出现Flag V时数量代表盘点时的总量
When Flag U and I appears the amount represent the change When Flag V appears the amount represent the total amount when stocktaking
换句话说，我想找到每个 unice Art.No 的最新 V-transaction，然后添加或减去 U 和 I 交易以获得每行的累计总和.如果没有 V-transaction 则遍历整个数据集.
In words I want to find the latest V-transaction for each unice Art.No and then add or subtract U and I transactions to get a cummulativ sum for each row. If there is no V-transaction go through the whole dataset.
我已经为每个艺术制作了具有预期结果的示例.No
I have made examples with expected result for each Art.No
A1000
ID Flag Art.No Amount A1000 Example
1 U A1000 -100
7 U A1000 -50
8 I A1000 1000
9 V A1000 3600 3600
10 U A1000 -500 3100
11 U A1000 -100 3000
12 U A1000 -2000 1000
13 I A1000 2000 3000
14 U A1000 -1000 2000
21 U A1000 -500 1500
B2000
ID Flag Art.No Amount B2000 Example
2 U B2000 -5
3 V B2000 900
4 U B2000 -10
5 I B2000 50
6 U B2000 -20
17 U B2000 -5
18 U B2000 -5
19 I B2000 40
20 V B2000 200 200
22 U B2000 -50 150
C3000
ID Flag Art.No Amount C3000 Example
15 I C3000 10000 10000
16 U C3000 -4000 6000
23 U C3000 -1000 5000
为了在数据集中获得更多历史记录，在像这样的最新 V-transaction 之前有值会很好
To get more history in the dataset there would be nice to have values before the latest V-transaction like this
B2000
ID Flag Art.No Amount B2000 Example
2 U B2000 -5 150
3 V B2000 900 140
4 U B2000 -10 140
5 I B2000 50 190
6 U B2000 -20 170
17 U B2000 -5 165
18 U B2000 -5 160
19 I B2000 40 200
20 V B2000 200 200
22 U B2000 -50 150
考虑每个 I 和 U 事务但忽略 V 事务.
Where each I and U transaction is taken in consideration but V-transactions is ignored.
推荐答案
with cte as
(
select *,
-- find the latest 'V' ID per ArtNo
max(case when Flag = 'V' then ID end)
over (partition by ArtNo) as Last_V_ID
from myTable
)
select *,
-- cumulative sum, but ignore all rows before the latest 'V' ID
-- includes rows when there's no 'V' ID for this ArtNo
sum(case when ID < Last_V_ID then null else Amount end)
over (partition by ArtNo
order by ID
rows unbounded preceding)
from cte
order by ArtNo, ID
参见 Fiddle
要包含上次盘点之前的数据并忽略所有之前的盘点，您可以使用以下方法:
To include the data before the last stocktaking and to ignore all previous stocktakings you can use this approach:
with cte as
(
select *,
-- find the latest 'V' ID per ArtNo
max(case when Flag = 'V' then ID end)
over (partition by ArtNo) as Last_V_ID
from [dbo].[Warehouse]
)
select *,
-- cumulative sum, but ignore all rows before the latest 'V' ID
-- includes rows when there's no 'V' ID for this ArtNo
sum(case when ID < Last_V_ID then null else Amount end)
over (partition by ArtNo
order by ID
rows unbounded preceding)
-- calculate in-stock based on last 'V' ID, discarding all previous 'V' rows
,sum(case when (ID < Last_V_ID and Flag <> 'V') then -Amount
when ID = Last_V_ID then Amount
end)
over (partition by ArtNo
order by ID
rows between 1 following and unbounded following)
from cte
order by ArtNo, ID
两种计算都是互斥的，因此您可以使用 COALESCE 轻松地将它们组合起来.
Both calculations are mutually exlusive, so you can easily combine them using COALESCE.
参见 Fiddle
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