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Performance issue for tabular model in DAX

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I am trying to fix the performance issue for tabular model.  Below is the issue that I want to fix.

For the model there is a table Order Fact Table which holds the below attributes. In the Order table the Sales is already calculated in  the view using  price * quantity

Sales Table structure is like below

Sales Id,productidpricekey,T_Sales,timkey,cost,quantity

There is another price table which hold price information for the product.  The measures are written in this table.

The price table structure is like this   productidpricekey,product number,price,product_category

The measure sale is written as sales = sum('Sales'[T_Sales])

So when the user access this model from pivot table. There is no peformance issue for the below attributes in pivot.

product_category,Sales

However the peformance issue occurs when the below attributes are selected has it has huge data.

product number,price,Sales.

I check on the profiler and the duration time is high for the query.

select product number,price, sum(Sales)

Please advise for any solution.


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