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Anonymous's avatar
Anonymous
Not applicable
5 years ago

DAX Measure Very Slow

Hello,

 

I have a Measure where I am calculating the number of occurences (repetitions) of a Key within 'N' Days (Based on Parameter Selection from Slicer) before & after the date mentioned in each row. Also, the occurence needs to be counted only if the Net Price is either lower by 10% or more, or higher than 10% or more.

 

I have the following meaasure, but it takes 6-8 minutes for computing every time, but I am looking for a quicker result. Please guide.

 

Thanks in Advance..!

 

DAX

 

Count =

 

VAR DT1 = MIN(Data[Created On]) - Parameter[Parameter Value]

VAR DT2 = MIN(Data[Created On]) + Parameter[Parameter Value]

 

RETURN

 

CALCULATE(

    COUNT(Data[Key]),

    FILTER(

        ALL(Data),

        AND(

            Data[Created On] >= DT1,

            AND(

                Data[Created On] <= DT2,

                AND(

                    Data[Key] = SELECTEDVALUE(Data[Key])

                    ,

                    OR(

                        Data[Net Price] <= (SELECTEDVALUE(Data[Net Price]) * 0.90),

                        Data[Net Price] >= (SELECTEDVALUE(Data[Net Price]) * 1.10)

                    )

                )

            )

        )

    )

)

2 Replies

  • Anonymous 

    Not sure about your data model the table column and row count, anyway, try your measure this way:

    Count =
    VAR DT1 =   MIN ( Data[Created On] ) - Parameter[Parameter Value]
    VAR DT2 =   MIN ( Data[Created On] ) + Parameter[Parameter Value]
    VAR DTKY = SELECTEDVALUE ( Data[Key]
    VAR MINNETPRICE = SELECTEDVALUE ( Data[Net Price] ) * 0.90
    VAR MAXNETPRICE = SELECTEDVALUE ( Data[Net Price] ) * 1.10 
    
    RETURN
    CALCULATE (
        COUNT ( Data[Key] ),
        FILTER (
            ALL ( Data[Created On] , Data[Key] , Data[Net Price] ),
            Data[Created On] >= DT1 && Data[Created On] <= DT2 && Data[Key] =  DTKY  && (Data[Net Price] <= MINNETPRICE || Data[Net Price] >= MAXNETPRICE)
        )
    )

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