Forum Discussion
Semantic Model Refresh via Data Pipelines
- 9 months ago
Hi bdpr_95
When you assign deployment pipeline variables to control the workspace and semantic model connections, Power BI disables the “Select all” option under the table setting because the variable-based configuration replaces the static, pre-selected metadata binding. Essentially, variables introduce dynamic references that prevent Power BI from automatically resolving all table mappings at design time. Unfortunately, there’s currently no direct workaround to restore the “Select all” option when using variables. To manage this efficiently, you can either define the specific table mappings manually once per environment, or automate this process through the Power BI REST API or deployment pipeline API, which lets you script updates to dataset bindings and connections programmatically. While this adds a bit of setup, it ensures you can maintain a fully automated deployment process without having to adjust table mappings manually in each workspace.
Hi bdpr_95 ,
Is your goal to use the variable library to change the data source dynamically as the semantic model moves through stages of the deployment pipeline? If so, another effective solution would be to use parameters on the semantic model and leverage deployment or parameter rules in the deployment pipeline to reassign the data source.
Here is some official documentation from Microsoft on how this is implemented: https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/create-rules?tabs=new-ui
If this helped, please mark it as the solution so others can benefit too. And if you found it useful, kudos are always appreciated.
Thanks,
Samson
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- bdpr_9510 months agoHelper IV
No, I'm talking about this: Semantic Model Refresh Templates in Power BI (Preview) | Microsoft Power BI Blog | Microsoft Power BI