There is a table Payment
, which for example tracks the amount of money user puts into account, simplified as
===================================
Id | UserId | Amount | PayDate |
===================================
1 | 42 | 11 | 01.02.99 |
2 | 42 | 31 | 05.06.99 |
3 | 42 | 21 | 04.11.99 |
4 | 24 | 12 | 05.11.99 |
What is need is to receive a table with balance before payment moment, eg:
===============================================
Id | UserId | Amount | PayDate | Balance |
===============================================
1 | 42 | 11 | 01.02.99 | 0 |
2 | 42 | 31 | 05.06.99 | 11 |
3 | 42 | 21 | 04.11.99 | 42 |
4 | 24 | 12 | 05.11.99 | 0 |
Currently the select statement looks something like
SELECT
Id,
UserId,
Amount,
PaidDate,
(SELECT sum(amount) FROM Payments nestedp
WHERE nestedp.UserId = outerp.UserId AND
nestedp.PayDate < outerp.PayDate) as Balance
FROM
Payments outerp
How can I rewrite this select to get rid of the nested aggregate selection? The database in question is SQL Server 2019.
CodePudding user response:
You need to use cte with some custom logic to handle this type of problem.
WITH PaymentCte
AS (
SELECT ROW_NUMBER() OVER (
PARTITION BY UserId ORDER BY Id
) AS RowId
,Id
,UserId
,PayDate
,Amount
,SUM(Amount) OVER (
PARTITION BY UserId ORDER BY Id
) AS Balance
FROM Payment
)
SELECT X.Id
,X.UserId
,X.Amount
,X.PayDate
,Y.Balance
FROM PaymentCte x
INNER JOIN PaymentCte y ON x.userId = y.UserId
AND X.RowId = Y.RowId 1
UNION
SELECT X.Id
,X.UserId
,X.Amount
,X.PayDate
,0 AS Balance
FROM PaymentCte x
WHERE X.RowId = 1
This provides the desired output
CodePudding user response:
You can try the following using lag
with a cumulative sum
with b as (
select * , isnull(lag(amount) over (partition by userid order by id),0) Amt
from t
)
select Id, UserId, Amount, PayDate,
Sum(Amt) over (partition by userid order by id) Balance
from b
order by Id