Git Repository last published commit is blank after Editing

Question

I edited the Git Repository in Data Factory to see the options available and saved it (bad idea). As a result, the Git Repository last published commit value is now blank. Now, when I go to publish in Data Factory it wants to publish all the resources because it's lost it's reference to the last commit. The obvious fix seems to be to just re-publish everything but I'm unsure of the risk in doing this. Has anyone been in this situation before and if so what approach was taken? All the resources validate successfully so in theory it should work but I don't want to attempt publishing in case there are any gotchas in doing that?

Answer 1

When you edit the Git repository settings in ADF and save them, it can cause the Git repository to lose its reference to the last published commit. This is why the "last published commit" value appears as blank, leading to ADF interpreting this as if no resources have ever been published. As a result, it may attempt to publish all resources instead of only the changes.

Potential Solutions

1. Re-Publish All Resources:
   • While this is the most straightforward approach, it is essential to validate that all resources are functioning correctly before proceeding. Since you mentioned that all resources validate successfully, this option is feasible. However, be aware that it may overwrite any uncommitted changes in the repository.
2. Revert to the Last Known Good State:
   • If you have access to the commit history in your Git repository, you can revert to the last known good commit using commands like git reset or git checkout. This will allow you to restore the state of your repository to a point before the changes were made that caused the issue.
3. Use Azure Data Factory's Version Control Features:
   • Azure Data Factory has built-in version control features that allow you to manage changes effectively. You can check the history of commits and revert to a previous version if necessary. This can be done through the Azure portal.

If all resources validate successfully and you have reviewed the changes, you can proceed with publishing. Given that the repository lost its reference to the last commit, re-publishing everything is likely the most straightforward approach.

Risks of Re-Publishing

Re-publishing all resources can lead to several risks, including:

• Overwriting Changes: If there are any local changes that have not been committed, they may be lost.
• Dependency Issues: If resources depend on each other, re-publishing might cause unexpected behavior if the dependencies are not handled correctly.
• Downtime: Depending on the nature of your Data Factory pipelines, re-publishing could result in downtime or temporary unavailability of services.

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