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Amik_singh
Advocate I
Advocate I

Replacing computationally expensive row-by-row iteration

What single DAX function in Power BI Desktop is most effective for replacing computationally expensive row-by-row iteration (e.g., using SUMX for simple aggregation) with a faster, optimized column-level calculation? @krikri @Gamam @Luo @Amar_Kumar 

1 ACCEPTED SOLUTION
Amar_Kumar
Solution Supplier
Solution Supplier

@Amik_singh The KEEPFILTERS function. When used correctly within a CALCULATE or CALCULATETABLE context, it can dramatically simplify filter contexts and prevent unnecessary re-evaluation, thus optimizing query performance over complex filter interactions, often replacing less efficient iterative logic.

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1 REPLY 1
Amar_Kumar
Solution Supplier
Solution Supplier

@Amik_singh The KEEPFILTERS function. When used correctly within a CALCULATE or CALCULATETABLE context, it can dramatically simplify filter contexts and prevent unnecessary re-evaluation, thus optimizing query performance over complex filter interactions, often replacing less efficient iterative logic.

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