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

Get Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now

Reply
Anonymous
Not applicable

Architecture for Direct Query Cube with Composite Keys

Hello!


I am working on a migration project which has the following requirements:

- Will publish the reports in report server January 2019

- Datasource is an Oracle database

- Direct Query mode

- Most of the Keys are composite (2 colums concatenated)

- Cannot deploy anything in the source like views or keys

- Authoring environment: SSAS 2017

 

My main problem is that SSAS 2017 does not have active the COMBINEVALUES() function, which should optimize combined keys for direct query performance. https://www.sqlbi.com/articles/using-combinevalues-to-optimize-directquery-performance/

 

So how can I work around this problem?

If I use SSAS 2017 to devleop a cube and deploy it, I cannot use Combinevalues()

If I develop directly in Power BI Desktop Jan 2019 version, then I can use the Combinevalues() function. The thing is that I cannot save the model anywhere and then deliver it to the users.

 

So does anyone have an idea on how to develop models with combined keys in direct query and enable users to connect to this model and build PBI reports?

 

 

2 REPLIES 2
Anonymous
Not applicable

bump

Anonymous
Not applicable

Hi @Anonymous ,

did You find out how to manage that Issue you had? I'm facing the same . 

 

Helpful resources

Announcements
November Power BI Update Carousel

Power BI Monthly Update - November 2025

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

Fabric Data Days Carousel

Fabric Data Days

Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.