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

Try your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now

Reply
Femi-0
Frequent Visitor

Rolling Average on a Measure using Direct Query

Hello,

 

We have been using the formula below, to calculate the 3 month moving average of the 80th percentile of the time to close cases per month. 

However, now that we have switched from importing the data to DirectQuery, the DAX no longer works, any support with understanding what has changed and an alternative DAX would be appreciated:

 

CALCULATE(
                      AVERAGEX(completed_cases
                                               ,PERCENTILE.INC(completed_cases[Duration],0.85)
                                               ,DATESINPERIOD(Date[Date],ENDOFMONTH(Date[Date],-3,MONTH)
                       ,completed_cases[flagged] == "No")
 
For context, we direct query a seperate date table, and have a 1:* relationship between the Date table and the completed_cases table.
1 ACCEPTED SOLUTION
AntoineW
Super User
Super User

Hello @Femi-0,

 

 

The root issue is that DirectQuery mode doesn’t support non-delegable operations such as:

  • PERCENTILE.INC or PERCENTILEX.INC (statistical iterator functions)

  • Complex table-iteration logic (AVERAGEX over a non-grouped table with nested aggregation)

  • DATESINPERIOD combined with implicit column iteration outside aggregation context

In Import mode, Power BI’s VertiPaq engine can materialize the entire dataset in memory and perform row-by-row percentile calculations.
In DirectQuery mode, Power BI must translate DAX to SQL — and most statistical functions (like PERCENTILE.INC) have no SQL equivalent.
So the engine simply throws an unsupported function error or returns blank.

 

 

Option : Pre-aggregate percentiles in the source (best practice)

Since SQL engines can’t calculate percentiles dynamically via DAX, push the calculation to your data source view or stored procedure:

 

SELECT
DateKey,
PERCENTILE_CONT(0.8) WITHIN GROUP (ORDER BY Duration) AS P80_Duration
FROM Completed_Cases
WHERE Flagged = 'No'
GROUP BY DateKey;

Then import or DirectQuery this pre-aggregated result and use a simple rolling average DAX : 

 

P80_3MonthAvg =
AVERAGEX(
DATESINPERIOD('Date'[Date], MAX('Date'[Date]), -3, MONTH),
CALCULATE(AVERAGE('P80 View'[P80_Duration]))
)

 

Hope it can help you !

Best regards,

Antoine

View solution in original post

2 REPLIES 2
AntoineW
Super User
Super User

Hello @Femi-0,

 

 

The root issue is that DirectQuery mode doesn’t support non-delegable operations such as:

  • PERCENTILE.INC or PERCENTILEX.INC (statistical iterator functions)

  • Complex table-iteration logic (AVERAGEX over a non-grouped table with nested aggregation)

  • DATESINPERIOD combined with implicit column iteration outside aggregation context

In Import mode, Power BI’s VertiPaq engine can materialize the entire dataset in memory and perform row-by-row percentile calculations.
In DirectQuery mode, Power BI must translate DAX to SQL — and most statistical functions (like PERCENTILE.INC) have no SQL equivalent.
So the engine simply throws an unsupported function error or returns blank.

 

 

Option : Pre-aggregate percentiles in the source (best practice)

Since SQL engines can’t calculate percentiles dynamically via DAX, push the calculation to your data source view or stored procedure:

 

SELECT
DateKey,
PERCENTILE_CONT(0.8) WITHIN GROUP (ORDER BY Duration) AS P80_Duration
FROM Completed_Cases
WHERE Flagged = 'No'
GROUP BY DateKey;

Then import or DirectQuery this pre-aggregated result and use a simple rolling average DAX : 

 

P80_3MonthAvg =
AVERAGEX(
DATESINPERIOD('Date'[Date], MAX('Date'[Date]), -3, MONTH),
CALCULATE(AVERAGE('P80 View'[P80_Duration]))
)

 

Hope it can help you !

Best regards,

Antoine

@AntoineW , we suspected this was the case but threw the hail Mary to see...appreciate you spelling out the limitations, thank you!

Helpful resources

Announcements
Fabric Data Days is here Carousel

Fabric Data Days 2026

Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.