Forum Discussion
Power BI & Version Control with git
- 9 months ago
Hi DanielGalili
Thank you for reaching out to the Microsoft Fabric Community Forum.
This issue often arises when managing Power BI semantic models with Git, as Power BI serializes model metadata in a non-deterministic order. As a result, even without actual changes, differences in how .pbip files record table or measure order can lead to merge conflicts. If multiple developers work on the same model without coordination, updates from one branch may overwrite or remove changes from another after a pull or merge.
To address this, consider using Git Large File Storage (LFS) with file locking for .pbip or .pbix files to ensure only one person edits the model at a time. Also, keep both the original .pbip and a text-based extracted version of the model using available extraction tools. The text format makes it easier to perform diffs, merges, and automated checks in CI pipelines.
You can also add server-side checks or pre-receive hooks to confirm that model files are consistent before merging. Ask for a summary of model changes and validation with each pull request. Integrating semantic comparison tools like ALM Toolkit or XMLA-based checks can help identify structural conflicts early.
I hope you find this information useful. If you have more questions, feel free to ask and we will be glad to assist further.
Regards,
Microsoft Fabric Community Support Team
Hi DanielGalili
Thank you for reaching out to the Microsoft Fabric Community Forum.
This issue often arises when managing Power BI semantic models with Git, as Power BI serializes model metadata in a non-deterministic order. As a result, even without actual changes, differences in how .pbip files record table or measure order can lead to merge conflicts. If multiple developers work on the same model without coordination, updates from one branch may overwrite or remove changes from another after a pull or merge.
To address this, consider using Git Large File Storage (LFS) with file locking for .pbip or .pbix files to ensure only one person edits the model at a time. Also, keep both the original .pbip and a text-based extracted version of the model using available extraction tools. The text format makes it easier to perform diffs, merges, and automated checks in CI pipelines.
You can also add server-side checks or pre-receive hooks to confirm that model files are consistent before merging. Ask for a summary of model changes and validation with each pull request. Integrating semantic comparison tools like ALM Toolkit or XMLA-based checks can help identify structural conflicts early.
I hope you find this information useful. If you have more questions, feel free to ask and we will be glad to assist further.
Regards,
Microsoft Fabric Community Support Team