Vous pouvez le faire facilement en pivoting
les données. Cela peut être fait de deux manières.
1.Utilisez Conditional Aggregate
pour faire pivoter les données. Après pivoting
vous pouvez trouver datediff
entre les différentes étapes. Essayez ceci.
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.utilisez Pivot
transposer les données
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