Dockerfile

# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
ARG BASE_CONTAINER=jupyter/scipy-notebook
FROM $BASE_CONTAINER

LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"

USER root

# Spark dependencies
ENV APACHE_SPARK_VERSION=2.4.5 \
    HADOOP_VERSION=2.7

RUN apt-get -y update && \
    apt-get install --no-install-recommends -y openjdk-8-jre-headless ca-certificates-java && \
    rm -rf /var/lib/apt/lists/*

RUN cd /tmp && \
    wget -q http://mirrors.ukfast.co.uk/sites/ftp.apache.org/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz && \
    echo "2426a20c548bdfc07df288cd1d18d1da6b3189d0b78dee76fa034c52a4e02895f0ad460720c526f163ba63a17efae4764c46a1cd8f9b04c60f9937a554db85d2 *spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz" | sha512sum -c - && \
    tar xzf spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz -C /usr/local --owner root --group root --no-same-owner && \
    rm spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz
RUN cd /usr/local && ln -s spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION} spark

# Mesos dependencies
# Install from the Xenial Mesosphere repository since there does not (yet)
# exist a Bionic repository and the dependencies seem to be compatible for now.
COPY mesos.key /tmp/
RUN apt-get -y update && \
    apt-get install --no-install-recommends -y gnupg && \
    apt-key add /tmp/mesos.key && \
    echo "deb http://repos.mesosphere.io/ubuntu xenial main" > /etc/apt/sources.list.d/mesosphere.list && \
    apt-get -y update && \
    apt-get --no-install-recommends -y install mesos=1.2\* && \
    apt-get purge --auto-remove -y gnupg && \
    rm -rf /var/lib/apt/lists/*

# Spark and Mesos config
ENV SPARK_HOME=/usr/local/spark \
    PYTHONPATH=$SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7-src.zip \
    MESOS_NATIVE_LIBRARY=/usr/local/lib/libmesos.so \
    SPARK_OPTS="--driver-java-options=-Xms1024M --driver-java-options=-Xmx4096M --driver-java-options=-Dlog4j.logLevel=info" \
    PATH=$PATH:/usr/local/spark/bin

USER $NB_UID

# Install pyarrow
RUN conda install --quiet -y 'pyarrow' && \
    conda clean --all -f -y && \
    fix-permissions $CONDA_DIR && \
    fix-permissions /home/$NB_USER