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Fix hadolint deviations
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@@ -1,28 +1,36 @@
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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ARG BASE_CONTAINER=jupyter/scipy-notebook
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# hadolint ignore=DL3006
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FROM $BASE_CONTAINER
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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# Fix DL4006
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SHELL ["/bin/bash", "-o", "pipefail", "-c"]
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USER root
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# Spark dependencies
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ENV APACHE_SPARK_VERSION=2.4.5 \
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HADOOP_VERSION=2.7
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# hadolint ignore=DL3008
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RUN apt-get -y update && \
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apt-get install --no-install-recommends -y openjdk-8-jre-headless ca-certificates-java && \
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rm -rf /var/lib/apt/lists/*
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# Using the preferred mirror to download Spark
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RUN cd /tmp && \
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wget -q $(wget -qO- https://www.apache.org/dyn/closer.lua/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz\?as_json | \
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WORKDIR /tmp
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# TODO
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# hadolint ignore=SC2046
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RUN wget -q $(wget -qO- "https://www.apache.org/dyn/closer.lua/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz\?as_json" | \
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python -c "import sys, json; content=json.load(sys.stdin); print(content['preferred']+content['path_info'])") && \
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echo "2426a20c548bdfc07df288cd1d18d1da6b3189d0b78dee76fa034c52a4e02895f0ad460720c526f163ba63a17efae4764c46a1cd8f9b04c60f9937a554db85d2 *spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz" | sha512sum -c - && \
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tar xzf spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz -C /usr/local --owner root --group root --no-same-owner && \
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rm spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz
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RUN cd /usr/local && ln -s spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION} spark
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tar xzf "spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz" -C /usr/local --owner root --group root --no-same-owner && \
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rm "spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz"
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WORKDIR /usr/local
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RUN ln -s "spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}" spark
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# Configure Spark
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ENV SPARK_HOME=/usr/local/spark
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@@ -35,5 +43,7 @@ USER $NB_UID
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# Install pyarrow
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RUN conda install --quiet -y 'pyarrow' && \
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conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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WORKDIR $HOME
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