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

Next up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now

Reply
djurecic
Super User
Super User

DirectQuery with RLS- How to get Item level vs Total Level in Matrix

Hello,

 Normally, I would use ISINSCOPE or HASONEVALUE to accomplish this, but neither of them are supported for DirectQuery with RLS.

 

I'm trying to show the correct average value in the total row of a matrix without using either of these or AVERAGEX.

 

Thanks,

DJ

 

1 ACCEPTED SOLUTION
cengizhanarslan
Super User
Super User

I know you said "without using AVERAGEX", but I am not sure you could achieve without using those functions. Why can't you just use something like:

Avg Price =
VAR Items = VALUES ( DimItem[Item] )
RETURN
IF (
    COUNTROWS(Items) = 1,
    [Avg Price],
    AVERAGEX ( Items, [Avg Price] )
)

 

_________________________________________________________
If this helped, ✓ Mark as Solution | Kudos appreciated
Connect on LinkedIn | Follow on Medium
AI-assisted tools are used solely for wording support. All conclusions are independently reviewed.

View solution in original post

2 REPLIES 2
djurecic
Super User
Super User

Thanks for your reply. I think I have misread the documentation. The exact wording is that

 

"This function is not supported for use in DirectQuery mode when used in calculated columns or row-level security (RLS) rules." So it can be used with RLS, just not in the RLS rules themselves.

cengizhanarslan
Super User
Super User

I know you said "without using AVERAGEX", but I am not sure you could achieve without using those functions. Why can't you just use something like:

Avg Price =
VAR Items = VALUES ( DimItem[Item] )
RETURN
IF (
    COUNTROWS(Items) = 1,
    [Avg Price],
    AVERAGEX ( Items, [Avg Price] )
)

 

_________________________________________________________
If this helped, ✓ Mark as Solution | Kudos appreciated
Connect on LinkedIn | Follow on Medium
AI-assisted tools are used solely for wording support. All conclusions are independently reviewed.

Helpful resources

Announcements
New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

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.

Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

March Power BI Update Carousel

Power BI Community Update - March 2026

Check out the March 2026 Power BI update to learn about new features.