---
stage: Create
group: Source Code
info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/product/ux/technical-writing/#assignments
---

# Git LFS developer information **(FREE)**

This page contains developer-centric information for GitLab team members. For the
user documentation, see [Git Large File Storage](../topics/git/lfs/index.md).

## Deep Dive

In April 2019, Francisco Javier López hosted a Deep Dive (GitLab team members only: `https://gitlab.com/gitlab-org/create-stage/issues/1`)
on the GitLab [Git LFS](../topics/git/lfs/index.md) implementation to share domain-specific
knowledge with anyone who may work in this part of the codebase in the future.
You can find the <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [recording on YouTube](https://www.youtube.com/watch?v=Yyxwcksr0Qc),
and the slides on [Google Slides](https://docs.google.com/presentation/d/1E-aw6-z0rYd0346YhIWE7E9A65zISL9iIMAOq2zaw9E/edit)
and in [PDF](https://gitlab.com/gitlab-org/create-stage/uploads/07a89257a140db067bdfb484aecd35e1/Git_LFS_Deep_Dive__Create_.pdf).
This deep dive was accurate as of GitLab 11.10, and while specific
details may have changed, it should still serve as a good introduction.

## Including LFS blobs in project archives

> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/15079) in GitLab 13.5.

The following diagram illustrates how GitLab resolves LFS files for project archives:

```mermaid
sequenceDiagram
    autonumber
    Client->>+Workhorse: GET /group/project/-/archive/master.zip
    Workhorse->>+Rails: GET /group/project/-/archive/master.zip
    Rails->>+Workhorse: Gitlab-Workhorse-Send-Data git-archive
    Workhorse->>Gitaly: SendArchiveRequest
    Gitaly->>Git: git archive master
    Git->>Smudge: OID 12345
    Smudge->>+Workhorse: GET /internal/api/v4/lfs?oid=12345&gl_repository=project-1234
    Workhorse->>+Rails: GET /internal/api/v4/lfs?oid=12345&gl_repository=project-1234
    Rails->>+Workhorse: Gitlab-Workhorse-Send-Data send-url
    Workhorse->>Smudge: <LFS data>
    Smudge->>Git: <LFS data>
    Git->>Gitaly: <streamed data>
    Gitaly->>Workhorse: <streamed data>
    Workhorse->>Client: master.zip
```

1. The user requests the project archive from the UI.
1. Workhorse forwards this request to Rails.
1. If the user is authorized to download the archive, Rails replies with
an HTTP header of `Gitlab-Workhorse-Send-Data` with a base64-encoded
JSON payload prefaced with `git-archive`. This payload includes the
`SendArchiveRequest` binary message, which is encoded again in base64.
1. Workhorse decodes the `Gitlab-Workhorse-Send-Data` payload. If the
archive already exists in the archive cache, Workhorse sends that
file. Otherwise, Workhorse sends the `SendArchiveRequest` to the
appropriate Gitaly server.
1. The Gitaly server calls `git archive <ref>` to begin generating
the Git archive on-the-fly. If the `include_lfs_blobs` flag is enabled,
Gitaly enables a custom LFS smudge filter via the `-c
filter.lfs.smudge=/path/to/gitaly-lfs-smudge` Git option.
1. When `git` identifies a possible LFS pointer using the
`.gitattributes` file, `git` calls `gitaly-lfs-smudge` and provides the
LFS pointer via the standard input. Gitaly provides `GL_PROJECT_PATH`
and `GL_INTERNAL_CONFIG` as environment variables to enable lookup of
the LFS object.
1. If a valid LFS pointer is decoded, `gitaly-lfs-smudge` makes an
internal API call to Workhorse to download the LFS object from GitLab.
1. Workhorse forwards this request to Rails. If the LFS object exists
and is associated with the project, Rails sends `ArchivePath` either
with a path where the LFS object resides (for local disk) or a
pre-signed URL (when object storage is enabled) via the
`Gitlab-Workhorse-Send-Data` HTTP header with a payload prefaced with
`send-url`.
1. Workhorse retrieves the file and send it to the `gitaly-lfs-smudge`
process, which writes the contents to the standard output.
1. `git` reads this output and sends it back to the Gitaly process.
1. Gitaly sends the data back to Rails.
1. The archive data is sent back to the client.

In step 7, the `gitaly-lfs-smudge` filter must talk to Workhorse, not to
Rails, or an invalid LFS blob is saved. To support this, GitLab 13.5
[changed the default Omnibus configuration to have Gitaly talk to the Workhorse](https://gitlab.com/gitlab-org/omnibus-gitlab/-/merge_requests/4592)
instead of Rails.

One side effect of this change: the correlation ID of the original
request is not preserved for the internal API requests made by Gitaly
(or `gitaly-lfs-smudge`), such as the one made in step 8. The
correlation IDs for those API requests are random values until
[this Workhorse issue](https://gitlab.com/gitlab-org/gitlab-workhorse/-/issues/309) is
resolved.

## Related topics

- Blog post: [Getting started with Git LFS](https://about.gitlab.com/blog/2017/01/30/getting-started-with-git-lfs-tutorial/)
- User documentation: [Git Large File Storage (LFS)](../topics/git/lfs/index.md)
- [GitLab Git Large File Storage (LFS) Administration](../administration/lfs/index.md) for self-managed instances