U kunt dit eenvoudig doen door pivoting
de gegevens. Het kan op twee manieren.
1.Gebruik Conditional Aggregate
om de gegevens te draaien. Na pivoting
je kunt datediff
. vinden tussen verschillende stadia. Probeer dit.
SELECT orderid,Received,Keyed,Printed,Delivered,
Datediff(minute, Received, Keyed) TurnTime1,
Datediff(minute, Keyed, Printed) TurnTime2,
Datediff(minute, Printed, Delivered) TurnTime3
FROM (SELECT OrderID,
Max(CASE WHEN ActivityID = 1 THEN ActivityDate END) Received,
Max(CASE WHEN ActivityID = 2 THEN ActivityDate END) Keyed,
Max(CASE WHEN ActivityID = 3 THEN ActivityDate END) Printed,
Max(CASE WHEN ActivityID = 4 THEN ActivityDate END) Delivered
FROM Yourtable
GROUP BY OrderID)A
2.gebruik Pivot
om de gegevens te transponeren
SELECT orderid,
[1] AS Received,
[2] AS Keyed,
[3] AS Printed,
[4] AS Delivered,
Datediff(minute, [1], [2]) TurnTime1,
Datediff(minute, [2], [3]) TurnTime2,
Datediff(minute, [3], [4]) TurnTime3
FROM Yourtable
PIVOT (Max(ActivityDate)
FOR ActivityID IN([1],[2],[3],[4]))piv