Version control large binary files

Just like with the ". You'll find the most important commands on the front and helpful best practice tips on the back. Over , developers have downloaded it to make Git a little bit easier.

Just like with Tower, our mission with this platform is to help people become better professionals. That's why we provide our guides, videos, and cheat sheets about version control with Git and lots of other topics for free. First Aid Kit Learn how to undo and recover from mistakes with our handy videos series and cheat sheet. Webinar Join a live Webinar and learn from a Git professional.

What you are really talking about is a process known as configuration management. If you have thousands of unique software packages, your business should have a configuration manager a person, not software ;- who manages all of the configurations a. The work done with GVFS is slowly proposed upstream that is to Git itself , but that is still a work in progress. When you really have to use a VCS, i would use svn, since svn does not require to copy the entire repository to the working copy. But it still needs about the duplicate amount of disk space, since it has a clean copy for each file.

With these amount of data I would look for a document management system, or low level use a read-only network share with a defined input process. Up-to-date Apache Subversion servers and clients should have no problems controlling such amount of data and they perfectly scale.

Moreover, there are various repository replication approaches that should improve performance in case you have multiple sites with developers working on the same projects. Subversion perfectly scales and supports very large data and code base in a single repository. But Git does not. With Git, you'll have to divide and split the projects to multiple small repositories. This is going to lead to a lot of drawbacks and a constant PITA.

That's why Git has a lot of add-ons such as git-lfs that try to make the problem less painful. The question also mentions. Is that what you are ultimately after?

Their VCS can handle very large files and very large repositories. They were my choice when we were choosing a couple years ago, but management pushed us elsewhere. There are a couple of companies with products for "Wide Area File Sharing. When a person checks in an updated copy, that is replicated to the other sites.

The perks that come with a versioning system changelog, easy rss access etc. If you only care about the versioning metadata features and don't actually care about the old data then a solution that uses a VCS without storing the data in the VCS may be an acceptable option.

I have not used git-annex, but from the description and walkthrough it sounds like it could work for your situation. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Ask Question. It is sometimes quite annoying, but it handles large files very well. All our assets were kept in perforce.

Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Podcast Making Agile work for data science. Stack Gives Back Featured on Meta. New post summary designs on greatest hits now, everywhere else eventually.

Visit chat. Linked Related Improve this question. Aleksandr Blekh 6, 4 4 gold badges 26 26 silver badges 53 53 bronze badges. Johann Johann 1 1 gold badge 5 5 silver badges 5 5 bronze badges. Anyways, being on topic somewhere else shouldn't play into the decision to close a question here. The checksum file is then kept in git. Now I can immediately see with git diff if any of the checksums have changed. And if there are e. Not perfect but better than nothing. SE or perhaps Databases.

Mine is in quantum mechanics, for example. The whole point here is that: 1. StackExchange discourages so-called boat questions and 2. Show 12 more comments. Active Oldest Votes. Improve this answer. Otherwise, I would highly recommend to check on the data itself, for example with rsync on a copy of the original data. One other possibility which is common in neuroscience although I do not like it so much because sometimes it is not as well documented as it should be , is to use the nipype python package, which can be seen as a sort of workflow manager and it manages the cache of binary data of the intermediate steps of the analysis automatically.

I've implemented something similar in DVC tool - please take a look at my answer below. I'd appreciate your feedback. Add a comment. As I see, a discussion on Hacker News mentions a few other ways to deal with large files: git-annex and e. Piotr Migdal Piotr Migdal 5 5 silver badges 15 15 bronze badges. I haven't tried it, though.

Fritz Fritz 1 1 silver badge 3 3 bronze badges. You really need to learn only three commands: dvc init - like git init. Should be done in an existing Git repository. Local file or URL. Example: vi mycode. MD 1 1 gold badge 3 3 silver badges 9 9 bronze badges.