How to Create Dynamic Server Parameters in Paginated Reports? Works in Desktop but Fails in Service

[satya__6]

Hi Team,

I need help regarding dynamic parameters for switching SQL servers inside a Power BI Paginated Report (RDL).

I created an expression‑based connection string :

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It works perfectly in Report Builder Desktop, but when I publish the RDL to Power BI Service, I get this error:

“The report definition is not valid or not supported in this version of Report Services.”

My questions:

1. Is dynamic server switching via parameters supported in Power BI Service for paginated reports?
2. If not supported, is there any alternative way similar to Power BI datasets where we can change environments dynamically (like Dev → QA → Prod)?
3. What is the recommended approach for environment‑based connection switching in Fabric Paginated Reports?

Thanks in advance!

[v-sshirivolu]

Hi @satya__6 ,

I would also take a moment to thank @cengizhanarslan , for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.
 

I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions

[v-sshirivolu]

Hi @satya__6 ,
I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions.

[cengizhanarslan · Accepted solution]

n Power BI Service, expression-based connection strings / dynamic data source switching is not supported for paginated reports.

Option 1) Use deployment pipelines / CI/CD to swap the data source

• Store the RDL in source control

• On deployment, update the report’s data source to the target environment (Dev → QA → Prod)

• This keeps the report definition consistent while enforcing static connections per environment

Option 2) Use a shared semantic model 
If your paginated report can use a Power BI dataset / semantic model as its data source, you can handle environment switching at the dataset level (deployment pipelines can rebind / swap connections more cleanly). This is often the most manageable approach in Fabric-centric setups.