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andymcgurty's avatar
andymcgurty
Frequent Visitor
6 years ago
Solved

how to apply multi dimension member filter dynamically using IN operator

I'm trying to dynamically apply a filter statement in DAX using the IN operator. By passing in a string of members to filter on. 

 

In my scenario the fact table and DIM table do not have a relationship. After applying a context filter on DIM_VIEW[View] I want the selected members to be used to filter the fact table. Without relating the tables is this possible in DAX?

 

The DAX code below works when I filter one member however, it doesn't like multiple selections. The concatenatex() line correctly generates the member list but the IN operation does accept a dynamic input if there's more than one selection. 


   VAR onemember = "View1"
   VAR multiplemembers = """" & CONCATENATEX ( VALUES ( DIM_VIEW[View] ), [View], """" & ",""" ) & """"  

    RETURN
    
        VALUE (
           
               CALCULATE (
                    SUM ( FACT_TB, [amount] )
              
                               )


                   // one member - works
                   //,FACT_TB[View] IN {onemember} 
                   // multiple members - does not work
                   ,FACT_TB[View] IN {multiplemembers} 
                 )
                    

  • Mariusz's avatar
    Mariusz
    6 years ago

    Hi andymcgurty 

     

    Try the below.

    Measure = 
VAR __view = VALUES( DIM_VIEW[View] )
RETURN
    CALCULATE(
        SUM( FACT_TB[amount] ),
        FACT_TB[View] IN __view
    )

    or a version with TREATAS for better performance

    Measure = 
VAR __view = VALUES( DIM_VIEW[View] )
RETURN
    CALCULATE(
        SUM( FACT_TB[amount] ),
        TREATAS( __view, FACT_TB[View] ) 
    )

     

    Best Regards,
    Mariusz

    If this post helps, then please consider Accepting it as the solution.

     

3 Replies

  • Mariusz's avatar
    Mariusz
    Icon for Community Champion rankCommunity Champion
    6 years ago

    Hi andymcgurty 

     

    Try the below.

    Measure = 
VAR __view = VALUES( DIM_VIEW[View] )
RETURN
    CALCULATE(
        SUM( FACT_TB[amount] ),
        FACT_TB[View] IN __view
    )

    or a version with TREATAS for better performance

    Measure = 
VAR __view = VALUES( DIM_VIEW[View] )
RETURN
    CALCULATE(
        SUM( FACT_TB[amount] ),
        TREATAS( __view, FACT_TB[View] ) 
    )

     

    Best Regards,
    Mariusz

    If this post helps, then please consider Accepting it as the solution.

     

    • andymcgurty's avatar
      andymcgurty
      Frequent Visitor
      6 years ago

      good work Mariusz !

       

      TREATAS() is exactly what I was looking for and is working with context filters in my analysis. 

       

      Thanks

       

      Andy

    • andymcgurty's avatar
      andymcgurty
      Frequent Visitor
      6 years ago

      Hi Mariusz 

       

      I have an issue when using this approach with time intelligence functions. It doesn't filter the correct values at the row level when the filter is selected for multiple members. It works fine if for example DIM_VIEW[View] is used as a dimension (on rows or columns) in my analysis because it can slice the values into their own buckets and know what dates are relevant for each view. While this works at the member level, the grand totals are wrong. 

       

      If all the members are selected as a filter, it aggregates the values up incorrectly without taking the individual D_VIEW[View] members into context, so the same result as the grand total is displayed. 

       

      I've managed to return the correct results in a DAX query however, I've been unable to translate this into a valid measure in my analysis that can apply the correct filtering. 

       

       

      Thanks

       

      Andy