go-git VS juicefs

I interpret "aims to be fully compatible" as meaning the operations it implements are intended to be compatible with how Git implements those operations. I do not interpret this statement as saying they implement all features of Git.

They offer a document which directly shows what is and isn't supported, and it specifically notes quite a few things that aren't supported yet: https://github.com/go-git/go-git/blob/master/COMPATIBILITY.m...

The godoc also says right upfront it "nowadays covers the majority of the plumbing read operations and some of the main write operations, but lacks the main porcelain operations such as merges." - https://pkg.go.dev/github.com/go-git/go-git/v5#pkg-overview

> I'm saying it's not a reasonable choice over just using git directly, and is unlikely to ever be.

OK, that's apparently true for your use-case. But again, what go-git implements is directly useful to a number of very popular projects, as well as literally two thousand less popular ones.

I find the exported functionality to be high quality, at least for my own use-case. I'm not commenting on the code quality. If I need a shed for bikes, and someone is giving out free but ugly bikesheds, I'm thankful. I don't complain about the color of the bikeshed.

The go frameworks has some particular limitations at the moment (merge, rebase https://github.com/go-git/go-git/blob/master/COMPATIBILITY.md) but overall great framework.Used for some go tools..

You can monitor the sha of your config repos main branch with this I expect. https://github.com/go-git/go-git

I'm remaking a package named owl. One of the features of this package is the ability to clone remote repositories. The first time I affront this problem, I solved it using go.Cmd and git command. Is there a way to achieve something similar without importing or using a dependency like go-git. Something like download files via http, ssh or something similar.

I think there are already some Git SDKs out there. For example https://github.com/go-git/go-git

I see that you’re using go-git, which has a problem with worktree.Status being unusably slow—and in a prompt you’ll most certainly need to use it. I know because I tried writing my prompt using go-git, and had it hang on a work repo for a good minute. Eventually bit the bullet and switched to git2go (libgit2 bindings; uses cgo).

Support for Kerberos keytab files

JuiceFS under the Apache License 2.0, is a high-performance POSIX file system optimized for cloud-native environments. It stores data in Object Storage (e.g., Amazon S3) and metadata in databases like Redis, MySQL, or TiKV. JuiceFS integrates massive cloud storage with big data, machine learning, and AI applications efficiently, akin to local storage. It features full POSIX and Hadoop compatibility, S3 interface, Kubernetes support, and shared file storage for numerous clients. Some cool features are - strong consistency, scalable performance, data encryption, global file locks, and compression with LZ4 or Zstandard.

To improve the handling process of capacity overrun, the JuiceFS client supports deletion operations in the case of Ceph cluster fullness (see related code changes in JuiceFS Community Edition). Therefore, for newer client versions, there is no need to use set-full-ratio for temporary adjustments.

If you have any questions or would like to learn more, feel free to join discussions about JuiceFS on GitHub and the JuiceFS community on Slack.

The architecture image shows GCS and others, so I suspect it does.

https://github.com/juicedata/juicefs#architecture

See also: JuiceFS: https://juicefs.com/

Adds a DBMS or key-value store for metadata, making the filesystem much faster (POSIX, small overwrites don't have to replace a full object in the GCS/S3 backend).

Almost certainly a better solution if you want to turn your object storage into a mountable filesystem, with the (big) caveat that you can't access the files directly in the bucket (they are not stored transparently).

JuiceFS can do the same thing as s3fs-fuse, but better. Because it supports robust data consistency and caching policies to improve performance.