I am encountering very strange behaviour within the cubeviewer environment in 10.2.2.
I have a cube comprising of 12 dims, the largest of the 2 containing 900,000+ (incident ID) and 80,000+ (Time) elements. The cube has no rules whatsoever.
For a specific month, there are 8000 incident flags populated, thus to pull an all N-level view for all dimension, i would expect that only 8100 rows be returned.
If i attempt to generate the view however, i receive the usual memory limit exceeded.
The MaximumViewSize parameter is currently set to 2.5GB (2500)
The log file displays the al_alloc() error and lists the required pool size for the view at 2.6GB.
I have manipulated the view in a few ways, such as :
*selected a consolidation of all time elements with the N-level Incident ID codes, zeros suppressed - view worked, return 8100 records.
*selected a consolidation of all time elements with the N-level Incident ID codes, zeros unsuppressed - view worked, return 900,000+ records.
*selected a consolidation of all incident ID elements with the N-level time elements, zeros suppressed - view worked, return 5000+ records.
*selected a consolidation of all incident ID elements with the N-level time elements, zeros unsuppressed - view worked, return 80,000+ records.
All of these combinations worked fine, however the combination of N-Level for both fails everytime.
Increasing the MaximumviewSize to 5GB worked, however when attempting to load the same view in a report takes very long.
Any ideas welcome
