Forum Discussion
Advocate IMeasure Column in Table Visual Causes Filters to be Ignored
Ceeeg I can try to explain but I know why it is not working. This is why star schema is the recommended/best practice. To visualize the issue, in a table visual where you have store and sales with zero measure, add store type from the store type table, now filter on Fashion and you expect to see two stores (A and B) but you will see other stores as well showing for the selected type even though those stores are not associated with type fashion and the reason for that is we are forcing to add zero to the measure. So this is the main explanation why you see all the stores.
To overcome the best practice is to use star schema and/or update your measure something like this:
Sales Plus Zero = VAR __ForceZero = IF ( NOT ISBLANK ( SELECTEDVALUE ( Stores[Store Name] ) ), 0 ) RETURN Sum('Sales'[Value]) + __ForceZeroI hope it makes sense. Great question though.
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Advocate IUnfortunately my update above isn't really a solution - at least not a practical one in my situaton - I need to use the Sales measure against multiple dimensions, and with this approach I'd have to make a measure for each dimension, so it'd be a fair bit of effort.
Cheers,
Calum
Have you found solution for that? And the reason of that behaviour? I have the same issue. Why does it work like that?
- Ceeeg
Hi Anonymous, while it's still not really intuitive behaviour, parry2k's explanation and solution are basically it - if you can manage to change your model from a snowflake schema to a star schema, it's going to fix the problem, and make things easier in general.
I recently did SQLBI's 'Mastering DAX' course, and I think after that, if I put my mind to it and had enough time, I might be able to fully understand why it doesn't work like we expect, and a workaround measure that does work. But if that's all you're after, it'd be a bit of an expensive answer for the question haha (the course is good if you're interested more generally though).