Forum Discussion
Backwards Deployment
We did a backwards deployed (from PROD to DEV )and edited every Workspace ID (On DEV objects) of dataflows, semantic model tables. However we`re experiencing some errors like tables are blank and deleted relationships on Power BI schema. How can we proced correct this erros and also validate the deployment pipeline
C0L0mbo,
Backward deployment (PROD -> DEV) can lead to metadata inconsistencies, especially if Workspace IDs or item references are manually updated.A few questions to help narrow this down:
- Are the affected tables coming from Dataflows Gen2, Lakehouse, or another source?
- After the deployment, did you refresh the dataflows first and then the semantic model?
- Were there any warnings or skipped items shown in the deployment pipeline?
Blank tables and missing relationships can occur if the semantic model is still referencing old object IDs or if upstream artifacts weren't fully synchronized after deployment. I'd also recommend comparing the DEV semantic model with PROD to verify that all tables, relationships, and source bindings were deployed correctly.
If possible, could you share the deployment pipeline configuration and any error messages you are seeing? That would help identify the root cause.
Best regards,
Omkar Shinde
Microsoft Fabric Enthusiast | Power BI Consultant
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✅ If this resolves your question, please mark it as the Accepted Solution to help others in the community.
3 Replies
C0L0mbo,
Backward deployment (PROD -> DEV) can lead to metadata inconsistencies, especially if Workspace IDs or item references are manually updated.A few questions to help narrow this down:
- Are the affected tables coming from Dataflows Gen2, Lakehouse, or another source?
- After the deployment, did you refresh the dataflows first and then the semantic model?
- Were there any warnings or skipped items shown in the deployment pipeline?
Blank tables and missing relationships can occur if the semantic model is still referencing old object IDs or if upstream artifacts weren't fully synchronized after deployment. I'd also recommend comparing the DEV semantic model with PROD to verify that all tables, relationships, and source bindings were deployed correctly.
If possible, could you share the deployment pipeline configuration and any error messages you are seeing? That would help identify the root cause.
Best regards,
Omkar Shinde
Microsoft Fabric Enthusiast | Power BI Consultant
💡 If you found this response helpful, please consider giving it a Kudos.
✅ If this resolves your question, please mark it as the Accepted Solution to help others in the community.Hi C0L0mbo,
Thank you for posting your query in the Microsoft Fabric Community Forum, and thanks to Omkar_1712 for sharing valuable insights.
Could you please confirm if your query has been resolved by the provided solutions? This would be helpful for other members who may encounter similar issues.
Thank you for being part of the Microsoft Fabric Community.
Thank you so much for your help. We were still referecing some objects incorrectly and some dataflows were not refreshed
