Reputation: 661
WITH Encashment AS (
SELECT T.MachineId, T.Amount, CAST(Occured AS DATETIME) AS Occured
FROM (VALUES
(1, 101, '2017-10-20 09:36:40.057')
,(1, 203, '2017-10-14 12:36:30.081')
,(1, 400, '2017-10-11 04:17:38.023')
) AS T(MachineId, Amount, Occured)
), MoneyAccepted AS (
SELECT T.MachineId, T.Amount, CAST(Occured AS DATETIME) AS Occured
FROM (VALUES
(1, 1, '2017-10-15 09:36:40.057')
,(1, 100, '2017-10-16 12:36:30.081')
,(1, 100, '2017-10-12 16:17:38.023')
,(1, 1, '2017-10-13 09:37:47.057')
,(1, 1, '2017-10-13 09:37:47.057')
,(1, 1, '2017-10-12 15:37:47.057')
,(1, 100, '2017-09-15 12:37:31.081')
,(1, 100, '2017-09-15 16:37:31.081')
,(1, 100, '2017-09-16 13:37:31.081')
,(1, 100, '2017-09-17 13:37:31.081')
) AS T(MachineId, Amount, Occured)
)
I can get Amount among two encashment.(Select Amount from Encashment
).
But, I want to get amount from MoneyAccepted for every Encashment.
For example: Encashment happened in 20-10-2017,till this dateTime accepted
101(100(2017-10-16 12:36:30.081)+1(2017-10-15 09:36:40.057)) money.
How can I get that?
Thanks in advance!
Upvotes: 0
Views: 104
Reputation: 15130
I think what you are looking for is:
DECLARE @Encashment AS TABLE (MachineID INT, Amount INT, Occured DATETIME2)
DECLARE @MoneyAccepted AS TABLE (MachineID INT, Amount INT, Occured DATETIME2)
INSERT @Encashment (MachineID, Amount, Occured)
VALUES (1, 101, '20171020 09:36:40.057')
, (1, 203, '20171014 12:36:30.081')
, (1, 400, '20171011 04:17:38.023')
INSERT @MoneyAccepted (MachineID, Amount, Occured)
VALUES (1, 1, '20171015 09:36:40.057')
, (1, 100, '20171016 12:36:30.081')
, (1, 100, '20171012 16:17:38.023')
, (1, 100, '20171014 09:17:38.023')
, (1, 1, '20171013 09:37:47.057')
, (1, 1, '20171013 09:37:47.057')
, (1, 1, '20171012 15:37:31.081')
SELECT E.Occured AS Encashment_Occured
, SUM(MA.Amount) AS SUM_Amount
FROM @MoneyAccepted AS MA
INNER JOIN (
SELECT MachineID
, Amount
, Occured
, LAG(Occured) OVER(PARTITION BY MachineID ORDER BY Occured) AS Previous_Occured
FROM @Encashment
) AS E
ON E.MachineID = MA.MachineID
AND E.Occured > MA.Occured
AND E.Previous_Occured <= MA.Occured
GROUP BY E.Occured
Result:
+-----------------------------+------------+
| Encashment_Occured | SUM_Amount |
+-----------------------------+------------+
| 2017-10-14 12:36:30.0810000 | 203 |
| 2017-10-20 09:36:40.0570000 | 101 |
+-----------------------------+------------+
This uses LAG, which was introduced in sql server 2012, in order to get the range of applicable dates in a single row.
Upvotes: 2
Reputation: 374
Please edit your question, remove html and use plain text for sample data.
I think you could use CROSS APPLY. Try this:
WITH Encashment AS (
SELECT T.MachineId, T.Amount, CAST(Occured AS DATETIME) AS Occured
FROM (VALUES
(1, 101, '2017-10-20 09:36:40.057')
,(1, 203, '2017-10-14 12:36:30.081')
,(1, 400, '2017-10-11 04:17:38.023')
) AS T(MachineId, Amount, Occured)
), MoneyAccepted AS (
SELECT T.MachineId, T.Amount, CAST(Occured AS DATETIME) AS Occured
FROM (VALUES
(1, 1, '2017-10-15 09:36:40.057')
,(1, 100, '2017-10-16 12:36:30.081')
,(1, 100, '2017-10-12 16:17:38.023')
,(1, 1, '2017-10-13 09:37:47.057')
,(1, 1, '2017-10-13 09:37:47.057')
,(1, 1, '2017-10-12 15:37:47.057')
,(1, 100, '2017-09-15 12:37:31.081')
,(1, 100, '2017-09-15 16:37:31.081')
,(1, 100, '2017-09-16 13:37:31.081')
,(1, 100, '2017-09-17 13:37:31.081')
) AS T(MachineId, Amount, Occured)
)
SELECT M.*, EN.*
FROM MoneyAccepted AS M
CROSS APPLY (
SELECT TOP (1) E.* FROM Encashment AS E
WHERE E.MachineId = M.MachineId AND E.Occured > M.Occured
ORDER BY E.Occured ASC
) AS EN
Upvotes: 1