I have a cumulative sum of a measure structured as:
Aggregate (
{ NULL : [Date].[Year - Month - Date].CurrentMember }
,[Measures].[Applications] )
From the date of the first application to the current date, the days of the date range must be contiguous.
The Date dimension however contains dates ranging from 1900-01-01 to well into the future.
I've attempted to eliminate dates before the first application, and future dates by structuring the calculated measure as follows:
CREATE MEMBER CURRENTCUBE.[Measures].[Applications TD] AS
CASE
WHEN
/* Eliminates dates before first applications, i.e. year 1900-01-01 */
Aggregate (
{ NULL : [Date].[Year - Month - Date].CurrentMember }
,[Measures].[Applications] ) < 0
THEN NULL
WHEN
/* Eliminates dates after today */
[Date].[Year - Month - Date].CurrentMember.MemberValue >= StrToMember('[Date].[Date].&['+Format(Now(),"yyyy-MM-ddT00:00:00")+']').MemberValue
THEN NULL
ELSE
Aggregate (
{ NULL : [Date].[Year - Month - Date].CurrentMember }
,[Measures].[Applications] )
END
I have been unsuccessful in any attempt to optimizing this by aggregating only where needed using a SCOPE as an alternative to the case statement, utilizing EXISTS and EXCEPT functions and many others.
When browsing the cube and dimensioning [Measures].[Applications TD]
by [Date].[Year - Month - Date]
user-defined hierarchy it is terribly slow.