Install to Existing Docker Image #
You can choose between Pachyderm’s pre-built image (a custom version of jupyter/scipy-notebook) or add the extension to your own image.
Option 1: Pre-Built Image #
- Open your terminal.
- Run the following:
docker run -it -p 8888:8888 --entrypoint /opt/conda/bin/jupyter pachyderm/notebooks-user:v2.9.4
- Open the UI using the link provided in the terminal following:
[I 2023-01-26 19:07:00.245 ServerApp] Jupyter Server 1.16.0 is running at:
[I 2023-01-26 19:07:00.245 ServerApp] http://fb66b212ca13:8888/lab?token=013dbb47fc32c0f1ec8277a399e8ccf0e4eb87055942a21d
[I 2023-01-26 19:07:00.245 ServerApp] or http://127.0.0.1:8888/lab?token=013dbb47fc32c0f1ec8277a399e8ccf0e4eb87055942a21d- Navigate to the connection tab. You will need to provide a link formatted like the following:
http://localhost:80
- Navigate to the Launcher view in Jupyter and select Terminal.
- Input the following command:
pachctl version- If you see a
pachctlandpachdversion, you are good to go.
Option 2: Custom Dockerfile #
Replace the following ${PACHCTL_VERSION} with the version of pachctl that matches your cluster’s, and update <version> with the release number of the extension.
You can find the latest available version of our Pachyderm Mount Extension in PyPi.
# This runs the following section as root; if adding to an existing Dockerfile, set the user back to whatever you need.
USER root
# This is the directory files will be mounted to, mirroring how pipelines are run.
RUN mkdir -p /pfs
# If you are not using "jovyan" as your notebook user, replace the user here.
RUN chown $NB_USER /pfs
# Optionally Install Pachctl - Set the version of Pachctl that matches your cluster deployment.
RUN curl -f -o pachctl.deb -L https://github.com/pachyderm/pachyderm/releases/download/v${PACHCTL_VERSION}/pachctl_${PACHCTL_VERSION}_amd64.deb
RUN dpkg -i pachctl.deb
# This sets the user back to the notebook user account (i.e., Jovyan)
USER $NB_UID
# Replace the version here with the version of the extension you would like to install from https://pypi.org/project/jupyterlab-pachyderm/
RUN pip install jupyterlab-pachyderm==<version>