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Hello,
I've been recently trying to improve the performance of my dashboard. As suggested in "Mastering DAX" course I changed one of the calculated columns into measure since it's a value that I'm not slicing on anywhere. It resulted in the size of the model reducing by 20MB (in DAX studio) and increase in loading time of main charts that use the measure by 200ms (Performance Analyzer).
Which one of the two should influence my decision on whether I should go with the measure or the calculated column?
Do I understand correctly that reduction in size of the model will reduce the refresh time but the loading time of the charts will still be longer (my main concern)?
Thanks
@PshemekFLK
As per your explanation, you should go with the measure solution as you want your users of the reports to have a better experience. Further, 20MB is subjective to the size of the total file size and the number of records, cardinality, and so on.
However, I hope you have set up your model in an optimum way and the measures have been written with performance in mind.
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Thank you for your reply. What do you mean by measure resulting in better experience? Should I ignore the fact the performance analyzer shows that the visuals will load slower?
@Fowmy wrote:
However, I hope you have set up your model in an optimum way and the measures have been written with performance in mind.
Yes, I tried to follow all the rules of star schema and optimize dax to the extent of my knowledge
.
Further, 20MB is subjective to the size of the total file size and the number of records, cardinality, and so on.
The total size of the model is 200MB, before it was 220 MB.
@PshemekFLK
As you mentioned "loading time of main charts that use the measure by 200ms", When you or your users use the dashboards/reports, it will have slowness in loading the visuals. I just noticed that you mentioned 200ms which is 1/5 of a second, if you feel the reports are performing without noticeable delay, I would suggest stick to the measure than the columns.
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