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Will partitioning help with 4,294,967,296 tuples issue? What about SSAS 2012?

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I've created a shell dimension with a nonaggregatable attribute and SCOPEd each of the members.  What we've been finding is that as long as the user only uses 5 or fewer members in a single query everything works great - at most just a couple seconds of runtime.

However, at *6* members or greater we immediate get the error:

"The expression contains a function that cannot operate on a set with more than 4,294,967,296 tuples"'

I've already went through my SCOPEs as much as possible, there's not really much else I can do and obviously it works quite well until I hit the limit in the engine (which I suspect is a bit arbitrary since 5 runs great).  So this leads to two questions:

1) Does SSAS 2012 still have this same limitation?

2) My cube currently has 10 million facts but performance is not an issue so I have not added the complexity of partitioning yet.  Any idea if partitioning would "parallelize" this execution?  I would partition on year and all SCOPE statements are SCOPEd to a particular year.

Thanks,

Jusin


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