Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Power BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.

Reply
rishari
Frequent Visitor

Make if statement optimized an total visible

I'm new to DAX. Kindly help me on this.
If i use zero for else statement, I'm getting error as insufficient memory.
I want to make the below dax faster and total to be visible. 

DAX =
IF (
      SUM ( Counter_flag ) = 1,
      CALCULATE ( DISTINCTCOUNTNOBLANK ( ColumnName ),
      KEEPFILTERS( 'table[Counter_flag]  = 1 )
)


5 REPLIES 5
Ahmedx
Super User
Super User

DAX =

VAR _t1 = SUM ( Counter_flag )
VAR _t2 = SUMX(DISTINCT( ColumnName ),1)
RETURN
IF (
      _t1 = 1,
      CALCULATE (_t2,
      KEEPFILTERS( 'table[Counter_flag]  = 1 )
)
Alex_Sawdo
Resolver II
Resolver II

You can probably re-write your DAX to not use the IF statement, by instead using a FILTER statement in your CALCULATE.

Like this:

CALCULATE(
DISTINTCOUNTNOBLANK([ColumnName]),
FILTER(
'table',
SUM('table'[Counter_flag]) = 1
)
)

This one is taking too long to load. (30 million rows are there)

you may try a combination of SUMX and CALCULATETABLE to acheive your goal and potentially improve performance.

 

SUMX (
CALCULATETABLE ( VALUES ( [Counter_flag] ), [Counter_flag] = 1 ),
SUM ( [Counter_flag] )
)

Hi @Keegan_Patton - Do you mean this ?

CALCULATE(
DISTINTCOUNTNOBLANK([ColumnName]),
SUMX (
CALCULATETABLE ( VALUES ( [Counter_flag] ), [Counter_flag] = 1 ),
SUM ( [Counter_flag] )
)
)

Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.

June 2025 Power BI Update Carousel

Power BI Monthly Update - June 2025

Check out the June 2025 Power BI update to learn about new features.

June 2025 community update carousel

Fabric Community Update - June 2025

Find out what's new and trending in the Fabric community.