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Hello everyone,
I face an issue about performance when I use calculation groups in my model. To give some context items, my dataset is quite complex (around 40 tables) and is stored on a premium capacity P2. It's a composite model that is using the user defined agregation feature of Power BI so we manage a detailed fact table and an aggregated one.
To simplify my case, please consider the example below :
- I have one measure "Amount" (sum of my fact table)
- I have one measure "Amount Last Year"
- I have a calculation group with one item that calculate Last Year value for the selected KPI
- Then, I create two matrix on my report :
- One is using the measure "Amount Last Year" to display last year amount per fiscal period
- One is using the measure "Amount" on which I apply the calculation item "Last Year" to display last year amount per fiscal period
When I compare the performance of the two visuals, I face a very big gap in term of performance.
This example is a lot more simplified than the visual i'm creating for my reporting purpose. In real situation, visuals are taking to much time when I use calculation groups so it's not possible to use them.
Does someone have any idea about where this performance gap could come from ?
Thanks,
R_LB
Thanks for your answer @johnt75 ! Unfortunately, this not solved our issue as all our sub-queries are on the wholesale part. We are currently investigating on RI violations to see if it's could generate a performance issue on calculation groups vs. measures.
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