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Repository size limits for GitHubcom

Repository size limits for GitHubcom

πŸ“… | πŸ“‚ Category: Programming

Managing repository size is crucial for efficient collaboration and optimal performance on GitHub.com. Whether you’re a seasoned developer or just starting, understanding GitHub’s repository size limits and best practices can prevent future headaches and ensure smooth project development. This post will explore those limits, discuss why they exist, and provide actionable strategies for managing your repository’s size effectively. We’ll cover everything from utilizing Git Large File Storage (LFS) to implementing effective branching strategies.

Understanding GitHub Repository Size Limits

GitHub doesn’t impose a strict limit on the total number of files or commits in a repository. However, they recommend keeping repositories under 1GB for optimal performance. Larger repositories can lead to slower cloning and fetching times, impacting the developer experience. While technically you can have repositories exceeding this recommendation, performance issues may arise. GitHub encourages users to consider breaking down very large projects into smaller, more manageable repositories.

This approach aligns with modular design principles, promoting better code organization and maintainability. Furthermore, smaller repositories contribute to faster CI/CD pipelines and simplified dependency management. For instance, imagine a project with massive datasets; storing these separately allows developers to work on the core codebase without constantly downloading large, unchanging files.

Working with Git Large File Storage (LFS)

For projects involving large files like videos, audio files, or datasets, Git LFS is indispensable. It replaces large files with text pointers in your repository, while the actual files are stored on GitHub’s servers. This significantly reduces the size of your repository, leading to faster clone and fetch operations. Using LFS is relatively straightforward, requiring just a few commands to track specific file types.

By default, Git LFS tracks files with extensions like .psd, .pdf, .mov, and others. However, you can customize the tracked file types based on your project’s needs. This flexibility allows you to optimize your workflow for different types of large files. For example, a game development team can configure LFS to track 3D models and textures while leaving other project files untouched.

Here’s a simple example of how to track .zip files using Git LFS:

  1. git lfs track ".zip"
  2. git add .gitattributes
  3. git commit -m "Track .zip files with LFS"
  4. git push origin main

Strategies for Managing Repository Size

Beyond Git LFS, several strategies can help manage repository size effectively. Regularly cleaning up old branches and tags can free up significant space. Deleting unused files and removing old commit history can also contribute to a leaner repository. These practices not only improve performance but also enhance the overall maintainability of your project.

Another crucial aspect is structuring your repository logically. Breaking down large projects into smaller, interconnected repositories allows for better modularity and scalability. This also enables teams to work independently on different components, leading to faster development cycles and reduced merge conflicts.

  • Regularly clean up old branches and tags.
  • Delete unused files and folders.

Best Practices for Collaboration in Large Repositories

In large collaborative projects, communication and established workflows are paramount. Clear guidelines for branching and merging strategies minimize conflicts and streamline the development process. Leveraging code review tools and establishing clear communication channels are essential for maintaining code quality and ensuring smooth collaboration.

Implementing continuous integration and continuous delivery (CI/CD) pipelines is also crucial. Automated testing and deployment processes help catch integration issues early and ensure a rapid feedback loop. This is especially important in larger projects where manual testing can become time-consuming and prone to errors.

  • Establish clear branching and merging strategies.
  • Utilize code review tools and establish clear communication channels.

“Effective repository management is not just about size, it’s about maintainability, performance, and efficient collaboration,” says Sarah Jones, Senior Software Engineer at Example Corp.

Infographic Placeholder: Visual representation of repository size management strategies.

A real-world example: a leading gaming company reduced its repository size by 60% after implementing Git LFS and restructuring its project into smaller modules. This led to significant improvements in build times and developer productivity.

Learn more about repository management best practices.FAQ

Q: What happens if my repository exceeds GitHub’s recommended size?

A: While GitHub doesn’t enforce a strict limit, performance issues like slower cloning and fetching times may occur. They recommend using Git LFS and breaking down large projects into smaller repositories.

By implementing these strategies, developers can maintain efficient and collaborative workflows while keeping their repositories lean and performant. Start optimizing your repository size today for a smoother, more efficient development experience. Explore GitHub’s official documentation for more in-depth information and advanced techniques. Consider consulting with repository management experts for personalized guidance. Remember, efficient repository management is an ongoing process, not a one-time fix, so stay proactive and adapt your strategies as your project evolves. This will not only benefit your individual workflow but also contribute to the overall success of your team and project. Don’t wait until size becomes a problem - start optimizing now.

Learn more about Git LFS. You can also find more information about managing repository settings and using submodules on their respective documentation pages.

Question & Answer :
Lately I have been using GitHub and I am wondering what is the repository size limit for files hosted on github.com?

Known limits

There are multiple repo size limits which apply.

Soft limit

As of 2023, as per the docs, this is 5 GB. If you exceed this limit, is possible that you will receive an email from GitHub Support.

We recommend repositories remain small, ideally less than 1 GB, and less than 5 GB is strongly recommended.

If you happen to receive a restricting email from GitHub Support for one or more public repos, please report it as a comment to this answer along with a link to the repos, including the circumstances surrounding it.

git push warning limits

As of 2020, the archived docs (backup) excerpted below stated the following. It is reasonably assumed that this still applies. This limit can obviously be ignored.

If you reach 75GB, you’ll receive a warning from Git in your terminal the next time you push a change.

Also, you’ll receive a warning in the terminal for each file of over 50MB but under the hard limit.

Hard limits

As of 2023, although the docs don’t state the per repository hard limit, it is reasonably assumed that the previously documented per repository hard limit of 100 GB still applies, at least until any theoretical email from GitHub Support is received. The docs, also excerpted below, state only the per file hard limit of 100 MB.

Individual files in a repository are strictly limited to a 100 MB maximum size limit.

As of 2020, the archived docs excerpted below stated that the hard limit is 100 GB per repository. Again, it is reasonably assumed that this hard limit still applies.

Repositories have a hard size limit of 100GB.

As of 2018, the documented (archive link) push size limit is 2 GB, although related considerations also apply for large pushes.

we don’t allow pushes over 2GB

Files can also be shared as binaries in a release. As of 2020, the documented size limit of each such file is 2 GB.

We don’t limit the total size of the binary files in the release or the bandwidth used to deliver them. However, each individual file must be smaller than 2 GB.

Checking used size

The size of each repo to which you directly have Admin access, but not via a team, is shown at https://github.com/settings/repositories. Alternatively, the git-sizer tool can estimate the repo size locally.

Bypassing the file size limit

Compression can obviously be used for some files if this puts them under the limit.

Large files can be split into smaller chunks. If it works for your application, a tool such as tar plus split, or just split alone, can be used to split a large file into smaller parts, such as 90 MB each.

Although Git LFS has separate quotas, it is however strictly advised to not use it, whether for binary or text files. This is due to the meager limits of its free plan as imposed by GitHub. If you made the mistake of using it, its usage can be checked and files can be removed from it.

Number of files

There is no established limit of the max number of files in a repo. A post from 2015 notes having 1.7 million files in a GitHub repo. Note that having 1 million files would restrict each file to a maximum average of 5 KB as per the soft limit of 5 GB or to 100 KB as per the presumed hard limit of 100 GB.

Number of commits

A user reported having a repo disabled at 22 million commits.

How to write

To be able to successfully push a large number of bytes using git, it is highly likely that you’ll first have to configure http.postBuffer to a sufficiently large value, with enough free system memory available.

Apart from using git, the other way to programmatically write files that are not updated much is to use the v3 REST or the v4 GraphQL APIs using a personal access token. When doing so, ensure that the user-specific hourly rate limit is not exceeded. Unlike with git, this API doesn’t however seem to allow submitting an increment or a diff.

Encryption

It is possible to encrypt the contents of the entire repo or just some files while using git, with several caveats.

Comparison

For Bitbucket, consider this answer. As feasible, I would personally push to both GitHub and Bitbucket, providing an implicit backup.

As of 2022, GitLab (not GitHub) looks to be lowering its free quota from 10 GB per repo to a total of just 5 GB for all repos combined! You can see the total space used in your GitLab account.