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Hi,
@Greg_Deckler @Anonymous @Stachu
Could i replace below FILTER() function with some other function to improve performance
CALCULATE(DISTINCTCOUNT(vwFact[AppId])
,FILTER(vwFact,vwFact[Area]="ACQ")
,FILTER(vwDate,vwDate[Date]))
or could i simply write it as:
CALCULATE(DISTINCTCOUNT(vwFact[AppId])
,vwFact,vwFact[Area]="ACQ"
,vwDate,vwDate[Date])
Thanks
Hi @jatneerjat,
There aren't any conditions. So the second filter isn't necessary. ",FILTER(vwDate,vwDate[Date]))". What's your goal? The formula is simple. Is the performance very bad?
Best Regards,
Dale
Yes,the power bi reports takes a lot of time to refresh.there are many measures in my ssas server which mostly use calculate along with filter() so i want a way where i can reduce filter() function because i have read somewhere that if we use filter() more oftenly then it adds to poor performance.
can you help me how to optimize below 3 dax queries:
1).
AVERAGEX(
KEEPFILTERS(VALUES('vwFact'[UId])),
CALCULATE(DISTINCTCOUNT('vwFact'[ApplicationId]))
2).
could i replace MAX() from
UniqueMeasure =
MAX(vwDate[CalDate])-1
to
UniqueMeasure =
DATESBETWEEN(vwDate[CalDate])
,LASTDATE(vwDate[CalDate])-1
,LASTDATE(vwDate[CalDate])-1)
, ALL(vwDate[CalDate])
,vwFact[Area]="Eng")
3).
How filters applied here,how ALL() affects the filteration here,could i replace ALL()
EngagementDailyUniqueTeams:= CALCULATE(DISTINCTCOUNT(vwFact[TId])
,DATESBETWEEN(vwDate[CalDate]
,LASTDATE(vwDate[CalDate])
,LASTDATE(vwDate[CalDate]))
, ALL(vwDate[CalDate])
,vwFact[Ar]="Eng"
4.)
What is ALLSELECTED() achieving here:
CALCULATE (DISTINCTCOUNT ( vwFact[UId] )
,FILTER ( ALLSELECTED ( vwApplication ), vwApplication [Type] = "AA" )
Thanks
,vwFact[Ar]="Eng"
)
Could anybody help me on this?
Hi @jatneerjat,
Can you post a dummy sample? AND the goals of each formula. For example, we add ALL to clear the context for a purpose. So we can't remove it directly unless it's necessary.
Best Regards,
Dale
I was not able to attach excel here in forum so adding the image for sample data.
this is for the first dax query.
Thanks
Hi @jatneerjat,
It seems the UIDs are unique. So the average could always be 1. What's the expected result of Query 1?
Best Regards,
Dale
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