Cloudera Docs

Installing R Kernel in JupyterLab Runtimes of Cloudera AI

To add R Kernel to JupyterLab Runtimes, create a Dockerfile that specifies the packages to be installed, in addition to the base image.

  1. Select the source image for your customization.

    For a non-PBJ Runtime, you must use a Runtime image released by Cloudera. When you select a Runtime, check the image tags on the Session Start page of the Cloudera AI user interface.

  2. When building a customized image, create a Dockerfile that specifies which packages you would like to install in addition to the base image. 
    # Dockerfile
# Specify an ML Runtime base image
# Possibly use latest from https://archive.cloudera.com/ml-runtimes/latest/artifacts/repo-assembly.json

FROM docker.repository.cloudera.com/cloudera/cdsw/ml-runtime-jupyterlab-python3.10-standard:2023.08.2-b8

RUN apt-get update && apt-get install -y --no-install-recommends software-properties-common dirmngr gdebi-core
RUN curl https://cloud.r-project.org/bin/linux/ubuntu/marutter_pubkey.asc > /etc/apt/trusted.gpg.d/cran_ubuntu_key.asc
RUN add-apt-repository "deb https://cloud.r-project.org/bin/linux/ubuntu $(lsb_release -cs)-cran40/"

RUN apt-get update && apt-get install -y --no-install-recommends r-base-core && apt-get clean && rm -rf /var/lib/apt/lists/*

RUN \
    /bin/bash -c "echo -e \"install.packages('IRkernel')\nIRkernel::installspec(prefix='/usr/local',name = 'RKernel', displayname = 'Rkernel')\" | R --no-save" && \
    rm -rf /build

# Override Runtime label and environment variables metadata
ENV ML_RUNTIME_EDITION="PBJ Jupyter With R Kernel" \
        ML_RUNTIME_SHORT_VERSION="1.0" \
        ML_RUNTIME_MAINTENANCE_VERSION=1 \
        ML_RUNTIME_DESCRIPTION="This Runtime adds R kernel to JuyterLab editor"
ENV ML_RUNTIME_FULL_VERSION="${ML_RUNTIME_SHORT_VERSION}.${ML_RUNTIME_MAINTENANCE_VERSION}"
LABEL com.cloudera.ml.runtime.edition=$ML_RUNTIME_EDITION \
        com.cloudera.ml.runtime.full-version=$ML_RUNTIME_FULL_VERSION \
        com.cloudera.ml.runtime.short-version=$ML_RUNTIME_SHORT_VERSION \
        com.cloudera.ml.runtime.maintenance-version=$ML_RUNTIME_MAINTENANCE_VERSION \
        com.cloudera.ml.runtime.description=$ML_RUNTIME_DESCRIPTION```