Pachyderm includes an S3 gateway that enables you to interact with PFS storage through an HTTP application programming interface (API) that imitates the Amazon S3 Storage API. Therefore, with Pachyderm S3 gateway, you can interact with Pachyderm through tools and libraries designed to work with object stores. For example, you can use these tools:
When you deploy
pachd, the S3 gateway starts automatically.
The S3 gateway has some limitations that are outlined below. If you need richer access, use the PFS gRPC interface instead, or one of the client drivers.
If auth is enabled on the Pachyderm cluster, credentials must be passed with each S3 gateway endpoint using AWS' signature v2 or v4 methods. Object store tools and libraries provide built-in support for these methods, but they do not work in the browser. When you use authentication, set the access and secret key to the same value. They are both the Pachyderm auth token used to issue the relevant PFS calls.
If auth is disabled, you can still pass arbitrary credentials, but the secret key must match the access key.
The S3 gateway presents each branch from every Pachyderm repository as an S3 bucket. For example, if you have a
master branch in the
images repository, an S3 tool sees
images@master as the
master.images S3 bucket.
Most operations act on the
HEAD of the given branch. However, if your object store library or tool supports versioning, you can get objects in non-
HEAD commits by using the commit ID as the S3 object version ID.
If you do not have direct access to the Kubernetes cluster, you can use port forwarding instead. Simply run
pachctl port-forward, which will allow you to access the s3 gateway through
However, the Kubernetes port forwarder incurs substantial overhead and does not recover well from broken connections. Therefore, connecting to the cluster directly is faster and more reliable.