Split up package installation

nigel.stanger / docker-analytics

Browse code Split up package installation master spark3
1 parent 2b624a2 commit c822450f9006b07eb0b15bb6c03c3f095c8ff91f Nigel Stanger authored on 13 May 2019

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# Don't use the official jupyter/pyspark-notebook image because it's massive! FROM analytics/spark ARG NB_USER="pyspark" ARG NB_UID="1000" ARG NB_GID="1000" USER root RUN adduser -D -u $NB_UID $NB_USER RUN apk add --no-cache --virtual .build-deps \ build-base \ zeromq-dev \ python3-dev \ py3-zmq RUN pip install --upgrade \ pip \ && pip install \ pyspark \ jupyter \ kafka-python \ sparkmonitor RUN apk del .build-deps ENV PYTHONPATH $SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7-src.zip # ENV PYSPARK_DRIVER_PYTHON jupyter # ENV PYSPARK_DRIVER_PYTHON_OPTS "notebook --ip=0.0.0.0 --port=8888" # ENV SPARKMONITOR_UI_PORT 8080 USER $NB_UID RUN jupyter nbextension install sparkmonitor --py --user --symlink \ && jupyter nbextension enable sparkmonitor --py --user \ && jupyter serverextension enable --py --user sparkmonitor \ && ipython profile create \ && echo "c.InteractiveShellApp.extensions.append('sparkmonitor.kernelextension')" >> $(ipython profile locate default)/ipython_kernel_config.py RUN mkdir -p /home/$NB_USER/work WORKDIR /home/$NB_USER/work # CMD ["pyspark"] # PySpark doesn't seem to load the sparkmonitor extension, so let's just # go with Jupyter and manually create contexts and sessions as required. CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--no-browser"] # debugging # CMD ["bash"] # Don't use the official jupyter/pyspark-notebook image because it's massive! FROM analytics/spark ARG NB_USER="pyspark" ARG NB_UID="1000" ARG NB_GID="1000" USER root RUN adduser -D -u $NB_UID $NB_USER RUN apk add --no-cache --virtual .build-deps \ build-base \ zeromq-dev \ python3-dev \ py3-zmq \ && pip install --upgrade \ pip \ && pip install \ # Tornado 6 breaks sparkmonitor tornado==5.1 \ pyspark \ jupyter \ sparkmonitor \ kafka-python \ && apk del .build-deps ENV PYTHONPATH $SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7-src.zip # ENV PYSPARK_DRIVER_PYTHON jupyter # ENV PYSPARK_DRIVER_PYTHON_OPTS "notebook --ip=0.0.0.0 --port=8888" # ENV SPARKMONITOR_UI_PORT 8080 USER $NB_UID RUN jupyter nbextension install sparkmonitor --py --user --symlink \ && jupyter nbextension enable sparkmonitor --py --user \ && jupyter serverextension enable --py --user sparkmonitor \ && ipython profile create \ && echo "c.InteractiveShellApp.extensions.append('sparkmonitor.kernelextension')" >> $(ipython profile locate default)/ipython_kernel_config.py RUN mkdir -p /home/$NB_USER/work WORKDIR /home/$NB_USER/work # CMD ["pyspark"] # PySpark doesn't seem to load the sparkmonitor extension, so let's just # go with Jupyter and manually create contexts and sessions as required. CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--no-browser"] # debugging # CMD ["bash"]

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pyspark/Dockerfile

# Don't use the official jupyter/pyspark-notebook image because it's massive!
FROM analytics/spark

ARG NB_USER="pyspark"
ARG NB_UID="1000"
ARG NB_GID="1000"

USER root

RUN adduser -D -u $NB_UID $NB_USER

RUN apk add --no-cache --virtual .build-deps \
        build-base \
        zeromq-dev \
        python3-dev \
        py3-zmq

RUN pip install --upgrade \
        pip \
    && pip install \
        pyspark \
        jupyter \
        kafka-python \
        sparkmonitor

RUN apk del .build-deps

ENV PYTHONPATH $SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7-src.zip
# ENV PYSPARK_DRIVER_PYTHON jupyter
# ENV PYSPARK_DRIVER_PYTHON_OPTS "notebook --ip=0.0.0.0 --port=8888"
# ENV SPARKMONITOR_UI_PORT 8080

USER $NB_UID

RUN jupyter nbextension install sparkmonitor --py --user --symlink \
    && jupyter nbextension enable sparkmonitor --py --user \
    && jupyter serverextension enable --py --user sparkmonitor \
    && ipython profile create \
    && echo "c.InteractiveShellApp.extensions.append('sparkmonitor.kernelextension')" >> $(ipython profile locate default)/ipython_kernel_config.py

RUN mkdir -p /home/$NB_USER/work
WORKDIR /home/$NB_USER/work

# CMD ["pyspark"]
# PySpark doesn't seem to load the sparkmonitor extension, so let's just
# go with Jupyter and manually create contexts and sessions as required.
CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--no-browser"]

# debugging
# CMD ["bash"]