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I can see that DF gen 2 are still not supported in deployment pipelines. I believe this is having a downstream affect. I have a df gen 2 that feeds a data WH. This data WH is being used to import data into my report/semantic model. When I try to deploy from dev to prod, all items deploy except for the report/model, stating an error that:
'When deploying the items below, any related dataflow must be included in the deployment or must already exist in the target folder.'
I have imported the DF into the prod environment but I still get the error...
Solved! Go to Solution.
Hi @kewaynes333 - Confirm that the Dataflow exists in the Production workspace and is exactly the same as the one in the Development workspace.
If the Dataflow is in a different workspace, Power BI won't recognize it as the same entity.
2. Check Dataflow IDs
Even if the Dataflow exists in the target environment, its internal ID might differ from the one in the source environment.
To align the IDs:
Export the Dataflow from the Development environment.
Re-import it into the Production environment to ensure consistency.
3. Map Dataflow Dependencies Manually
In the Deployment Pipeline:
Go to the Settings of the pipeline.
Map the Dataflows from Development to their counterparts in Production explicitly.
This step ensures that the deployment process recognizes the Dataflows correctly.
4. Use a Gateway for Dataflow Gen2
If your Dataflow Gen2 uses a specific gateway or authentication, ensure the same configuration exists in the Production environment.
5. Reconfigure the Data Source
After ensuring the Dataflow exists in the Production workspace, reconfigure the report or semantic model’s data source:
Open the report/model in Power BI Desktop.
Update the data source settings to point to the Production Dataflow.
Re-publish the report to the Development workspace and attempt the deployment again.
another workaround should be, export the .pbix file, update its data source manually to point to the Production Dataflow, and then re-import it into the Production workspace.
Use DirectQuery to Avoid Dataflow Dependency
If feasible, switch the semantic model/report to use DirectQuery for the Data Warehouse instead of relying on a Dataflow. This eliminates the dependency on Dataflows during deployment.
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As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided by our super user helps you? or let us know if you need any further assistance here?
Your feedback is important to us, Looking forward to your response.
Thanks,
Prashanth Are
MS Fabric community support.
Did I answer your question? Mark my post as a solution, this will help others!
If my response(s) assisted you in any way, don't forget to drop me a "Kudos"
@kewaynes333, As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided by our super user helps you? or let us know if you need any further assistance here?
Your feedback is important to us, Looking forward to your response.
Thanks,
Prashanth Are
MS Fabric community support.
Did I answer your question? Mark my post as a solution, this will help others!
If my response(s) assisted you in any way, don't forget to drop me a "Kudos"
Hi @kewaynes333,
As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided by our super user @rajendraongole1 helps you? or let us know if you need any further assistance here?
Your feedback is important to us, Looking forward to your response.
Thanks,
Prashanth Are
MS Fabric community support.
Did I answer your question? Mark my post as a solution, this will help others!
If my response(s) assisted you in any way, don't forget to drop me a "Kudos"
Hi @kewaynes333 - Confirm that the Dataflow exists in the Production workspace and is exactly the same as the one in the Development workspace.
If the Dataflow is in a different workspace, Power BI won't recognize it as the same entity.
2. Check Dataflow IDs
Even if the Dataflow exists in the target environment, its internal ID might differ from the one in the source environment.
To align the IDs:
Export the Dataflow from the Development environment.
Re-import it into the Production environment to ensure consistency.
3. Map Dataflow Dependencies Manually
In the Deployment Pipeline:
Go to the Settings of the pipeline.
Map the Dataflows from Development to their counterparts in Production explicitly.
This step ensures that the deployment process recognizes the Dataflows correctly.
4. Use a Gateway for Dataflow Gen2
If your Dataflow Gen2 uses a specific gateway or authentication, ensure the same configuration exists in the Production environment.
5. Reconfigure the Data Source
After ensuring the Dataflow exists in the Production workspace, reconfigure the report or semantic model’s data source:
Open the report/model in Power BI Desktop.
Update the data source settings to point to the Production Dataflow.
Re-publish the report to the Development workspace and attempt the deployment again.
another workaround should be, export the .pbix file, update its data source manually to point to the Production Dataflow, and then re-import it into the Production workspace.
Use DirectQuery to Avoid Dataflow Dependency
If feasible, switch the semantic model/report to use DirectQuery for the Data Warehouse instead of relying on a Dataflow. This eliminates the dependency on Dataflows during deployment.
Proud to be a Super User! | |