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https://github.com/jupyter/docker-stacks.git
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1533087aaf
* add scala version choise
* add ; \ fi
* change checksum and removed default scala version
* remove RUN
* add { } and remove old code
* remove 3 duplicated lines.
* Add the commint as a comment
* Add back #Fix
* Rename downloadeds as spark.tgz
* Fix doc
* Update specifics.md
* New fix
* Fix wget
* Remove make link to spark
* Set full path to /usr/local/spark
* Change /usr/local/spark to ${SPARK_HOME}
* fix RUN with if
* Remove empty lines
* Update Dockerfile
* Update Dockerfile
* Update Dockerfile
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
73 lines
2.7 KiB
Docker
73 lines
2.7 KiB
Docker
# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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ARG OWNER=jupyter
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ARG BASE_CONTAINER=$OWNER/scipy-notebook
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FROM $BASE_CONTAINER
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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# Fix: https://github.com/hadolint/hadolint/wiki/DL4006
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# Fix: https://github.com/koalaman/shellcheck/wiki/SC3014
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SHELL ["/bin/bash", "-o", "pipefail", "-c"]
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USER root
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# Spark dependencies
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# Default values can be overridden at build time
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# (ARGS are in lower case to distinguish them from ENV)
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ARG spark_version="3.3.0"
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ARG hadoop_version="3"
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ARG scala_version
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ARG spark_checksum="1e8234d0c1d2ab4462d6b0dfe5b54f2851dcd883378e0ed756140e10adfb5be4123961b521140f580e364c239872ea5a9f813a20b73c69cb6d4e95da2575c29c"
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ARG openjdk_version="17"
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ENV APACHE_SPARK_VERSION="${spark_version}" \
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HADOOP_VERSION="${hadoop_version}"
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RUN apt-get update --yes && \
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apt-get install --yes --no-install-recommends \
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"openjdk-${openjdk_version}-jre-headless" \
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ca-certificates-java && \
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apt-get clean && rm -rf /var/lib/apt/lists/*
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# Spark installation
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WORKDIR /tmp
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RUN if [ -z "${scala_version}" ]; then \
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wget -qO "spark.tgz" "https://archive.apache.org/dist/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz"; \
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else \
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wget -qO "spark.tgz" "https://archive.apache.org/dist/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}-scala${scala_version}.tgz"; \
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fi && \
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echo "${spark_checksum} *spark.tgz" | sha512sum -c - && \
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tar xzf "spark.tgz" -C /usr/local --owner root --group root --no-same-owner && \
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rm "spark.tgz"
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# Configure Spark
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ENV SPARK_HOME=/usr/local/spark
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ENV SPARK_OPTS="--driver-java-options=-Xms1024M --driver-java-options=-Xmx4096M --driver-java-options=-Dlog4j.logLevel=info" \
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PATH="${PATH}:${SPARK_HOME}/bin"
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RUN if [ -z "${scala_version}" ]; then \
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ln -s "spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}" "${SPARK_HOME}"; \
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else \
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ln -s "spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}-scala${scala_version}" "${SPARK_HOME}"; \
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fi && \
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# Add a link in the before_notebook hook in order to source automatically PYTHONPATH && \
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mkdir -p /usr/local/bin/before-notebook.d && \
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ln -s "${SPARK_HOME}/sbin/spark-config.sh" /usr/local/bin/before-notebook.d/spark-config.sh
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# Configure IPython system-wide
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COPY ipython_kernel_config.py "/etc/ipython/"
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RUN fix-permissions "/etc/ipython/"
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USER ${NB_UID}
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# Install pyarrow
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RUN mamba install --quiet --yes \
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'pyarrow' && \
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mamba clean --all -f -y && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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WORKDIR "${HOME}"
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