Forum Discussion

sqlguru448's avatar
sqlguru448
Helper III
5 years ago
Solved

Ranking measure with Table variable

Hello Folks,    I'm trying to create measure for Top 10 customers based on sales amount in Power BI which is connected Live to the Tabular model.   Customer is Dimension and Sales amount is in fa...
Need Help
  • MFelix's avatar
    MFelix
    5 years ago

    Hi sqlguru448 ,

     

    Be aware that making a summarizaition of a full table will bring for sure performance issues, in your case you are using the FACT table that I assume have a huge number of data so be aware of that.

     

    Try the following code:

     

    Measure = 
var temp_table =
        FILTER (
            SUMMARIZE (
                ALLSELECTED ( Customer[Name] );
                Customer[Name];
                "Total_Sales"; [Sales Amount]
            );
            [Sales Amount] > 0
        )

var Ranking = RANKX(temp_table; [Sales Amount])


RETURN
    Ranking

     

     

    Then filter out all rankings above 10.

v-lili6-msft's avatar
v-lili6-msft
Community Support
5 years ago

HI  sqlguru448 

Try to use this formula to create a measure

Measure 2 = 
VAR  _RANK= RANKX (
        ALLSELECTED ( Customer[Name] ),
        CALCULATE ( SUM ( 'Fact'[Sales Amount] ) ))
RETURN
IF ( _RANK <= 10,  _RANK)

 

if not your case, please share some simple sample data and your expected output.

 

Regards,

Lin

sqlguru448's avatar
sqlguru448
Helper III
5 years ago

Hi

v-lili6-msft   The above DAX gives performance issues as posted in my earlier comments as my real data is in millions, I am adding other dimension columns to the table which is causing the issue. Below is the expected data result for rank, apart from this I have to add other columns from different dimensions.

 

  

I am trying to fix it by writing below DAX, this works fine in SSAS dax query but not in Power BI desktop.

The power bi desktop gives rank as all 1's

Measure =
var _top10 =
TOPN(10, FILTER(SUMMARIZE(all('Fact'), Customer[Name],"Total_Sales", SUM('Fact'[Sales Amount])), [Sales Amount] >0 ), [Sales Amount])
 
RETURN
COUNTROWS(FILTER(_top10, [Total_Sales] >= EARLIER([Total_Sales]))
)
 
Thanks
  • MFelix's avatar
    MFelix
    Super User
    5 years ago

    Hi sqlguru448 ,

     

    Be aware that making a summarizaition of a full table will bring for sure performance issues, in your case you are using the FACT table that I assume have a huge number of data so be aware of that.

     

    Try the following code:

     

    Measure = 
var temp_table =
        FILTER (
            SUMMARIZE (
                ALLSELECTED ( Customer[Name] );
                Customer[Name];
                "Total_Sales"; [Sales Amount]
            );
            [Sales Amount] > 0
        )

var Ranking = RANKX(temp_table; [Sales Amount])


RETURN
    Ranking

     

     

    Then filter out all rankings above 10.

    • sqlguru448's avatar
      sqlguru448
      Helper III
      5 years ago

      Thank you this gave me an idea to modify my dax.

       

      Measure = var _top10 =
      FILTER(SUMMARIZE(ALLSELECTED('Fact Sales'), Product[Product_Name], Product_Subcategory[Product_subcategory_name,  location[state] , "Sales", [Total Sales]), [Total Sales] > 0 )
      RETURN RANKX(_top10,[Total Sales])
       
      Thank you for your help MFelix 
      • MFelix's avatar
        MFelix
        Super User
        5 years ago

        Hi sqlguru448 ,

         

        Glad I could point out in the correct direction, I made the measure with only a few lines of data so it could work incorrectly on a bigger scale.

         

        Always remenber that FILTERING a full table will have a very big impact on performance, you should always filter on the minimum amount of columns needed for your calculations and your context needs.