Skip to main content

Copying Git Repos with History

Sometimes the Internet is great - you can find exactly what you're looking for, quickly and easily. Other times, it takes you down a rabbit hole of different sites that may provide the right answer but, more often than not, the 90% rule is often true. 

So when we decided to consolidate our multiple git repos into a single repo on Azure Devops, I figured this should be relatively easy. Note: it isn't built into git and while the final process isn't that tough to follow, finding the best answer was extremely frustrating and time-consuming.

After several wrong paths, I came across this post. This covered the process in great detail - including some safety steps to ensure you don't overwrite incorrect files. I'm finding that sometimes the dev posts on Medium are just as good as StackOverflow but provide the necessary context that may not be available there. I want to note it here as it took a very long time to find that article.

The key is the --allow-unrelated-histories parameter to the git merge command but in many other posts, there were lots of references to other parameters and additional steps. While those options may work, I prefer the approach with fewer commands and parameters. 

The starting point:

DocsRepo: Documentation Files
SourceRepo: Source Files for Project 1
ScriptsRepo: Database Scripts

Our desired end state was

GoalRepo:
    Documentation
    Source
    Scripts


Steps:

Go to your new Repo

git remote add --fetch oldDocs https://MyOrg@dev.azure.com/MyOrg/Project/_git/DocsRepo
git merge oldDB/master --allow-unrelated-histories

This copies the files into the new repo but in their root folder.

mkdir Docs

Then manual copy (using VS Code or mv) all of the files into the new Docs folder.

git commit -m "Copied Docs folder"
git push

git remote rm oldDocs

Rinse and repeat.

The history in DevOps doesn't appear to show the whole history but when you look at it in DevOps, the history shows "Copied Docs Folder" but then has a "Rename history" link under it. Clicking this link shows the entire history.



Problem solved! Thanks to Ayushya


Comments

Popular posts from this blog

Elevating Project Specifications with Three Insightful ChatGPT Prompts

For developers and testers, ChatGPT, the freely accessible tool from OpenAI, is game-changing. If you want to learn a new programming language, ask for samples or have it convert your existing code. This can be done in Visual Studio Code (using GitHub CoPilot) or directly in the ChatGPT app or web site.  If you’re a tester, ChatGPT can write a test spec or actual test code (if you use Jest or Cypress) based on existing code, copied and pasted into the input area. But ChatGPT can be of huge value for analysts (whether system or business) who need to validate their needs. There’s often a disconnect between developers and analysts. Analysts complain that developers don’t build what they asked for or ask too many questions. Developers complain that analysts haven’t thought of obvious things. In these situations, ChatGPT can be a great intermediary. At its worst, it forces you to think about and then discount obvious issues. At best, it clarifies the needs into documented requirements. ...

Respect

Respect is something humans give to each other through personal connection. It’s the bond that forms when we recognize something—or someone—as significant, relatable, or worthy of care. This connection doesn’t have to be limited to people. There was an  article  recently that described the differing attitudes towards AI tools such as ChatGPT and Google Gemini (formerly Bard). Some people treat them like a standard search while others form a sort of personal relationship — being courteous, saying “please” and “thank you”. Occasionally, people share extra details unrelated to their question, like, ‘I’m going to a wedding. What flower goes well with a tuxedo?’ Does an AI “care” how you respond to it? Of course not — it reflects the patterns it’s trained on. Yet our interaction shapes how these tools evolve, and that influence is something we should take seriously. Most of us have all expressed frustration when an AI “hallucinates”. Real or not, the larger issue is that we have hi...

Friend vs Therapist vs LLM: Shades of Grey

The conversations with AI series brings up a single point and then compares it between different LLM engines. These types of conversations were one of the many contributing factors to my writing of " Towards Consciousness " that explores the benefits and issues of creating a conscious AI. In this scenario, I was interested in seeing how an LLM might differ from a friend or therapist on issues that may have nuanced responses or contexts. In doing so, I came up with an interesting discussion on shades of grey. My Premise: Is it a bit strange to be using an LLM as a sober second thought? Every time I walk down this path of “why use an LLM to do certain things”, I come back to the alternatives that people like to say. “Why not bring it up with a friend?” A friend typically has your back or will say whatever to support their own agenda. “A therapist?” That’s someone who is “trained” to be impartial. But a computer? A computer is impartial based on two logical outcomes. If you say ...