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* Always remain as root during install * Put kernel specs in system path, not user home * Create user work directory at startup * Note this is in 4.0 and up images, not 3.2 Contribution (c) Copyright IBM Corp. 2015
51 lines
1.7 KiB
Docker
51 lines
1.7 KiB
Docker
# Copyright (c) Jupyter Development Team.
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FROM jupyter/minimal-notebook
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MAINTAINER Jupyter Project <jupyter@googlegroups.com>
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# Spark dependencies
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ENV APACHE_SPARK_VERSION 1.4.1
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RUN apt-get -y update && \
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apt-get install -y --no-install-recommends openjdk-7-jre-headless && \
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apt-get clean
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RUN wget -qO - http://d3kbcqa49mib13.cloudfront.net/spark-${APACHE_SPARK_VERSION}-bin-hadoop2.6.tgz | tar -xz -C /usr/local/
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RUN cd /usr/local && ln -s spark-${APACHE_SPARK_VERSION}-bin-hadoop2.6 spark
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# Mesos dependencies
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RUN apt-key adv --keyserver keyserver.ubuntu.com --recv E56151BF && \
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DISTRO=debian && \
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CODENAME=wheezy && \
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echo "deb http://repos.mesosphere.io/${DISTRO} ${CODENAME} main" > /etc/apt/sources.list.d/mesosphere.list && \
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apt-get -y update && \
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apt-get --no-install-recommends -y --force-yes install mesos=0.22.1-1.0.debian78 && \
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apt-get clean
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# Spark and Mesos pointers
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ENV SPARK_HOME /usr/local/spark
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ENV PYTHONPATH $SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.8.2.1-src.zip
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ENV MESOS_NATIVE_LIBRARY /usr/local/lib/libmesos.so
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# Install Python 3 packages
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RUN conda install --yes \
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'ipywidgets=4.0*' \
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'pandas=0.16*' \
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'matplotlib=1.4*' \
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'scipy=0.15*' \
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'seaborn=0.6*' \
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'scikit-learn=0.16*' \
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&& conda clean -yt
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# Install Python 2 packages and kernel spec
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RUN conda create -p $CONDA_DIR/envs/python2 python=2.7 \
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'ipython=4.0*' \
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'ipywidgets=4.0*' \
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'pandas=0.16*' \
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'matplotlib=1.4*' \
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'scipy=0.15*' \
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'seaborn=0.6*' \
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'scikit-learn=0.16*' \
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pyzmq \
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&& conda clean -yt
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RUN $CONDA_DIR/envs/python2/bin/python \
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$CONDA_DIR/envs/python2/bin/ipython \
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kernelspec install-self |