Added links to sources

nigel.stanger / docker-analytics

Browse code Added links to sources Also cleaned out some obsolete code. master spark3
1 parent 905ac76 commit e104b8c7640f1634c667b39743c7e1262175d40b Nigel Stanger authored on 13 May 2019

Patch

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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 $NB_USER RUN apk add --no-cache --virtual .build-deps \ build-base \ zeromq-dev \ python3-dev \ py3-zmq RUN pip install --upgrade \ pip \ && pip install \ jupyter \ kafka-python \ pyspark \ sparkmonitor RUN apk del .build-deps ENV PYSPARK_PYTHON="/usr/local/bin/python3" ENV KERNEL_NAME="PySpark" \ KERNELS_TEMPLATE_PATH="/tmp" \ KERNELS_DIR_PATH="/home/$NB_USER/.local/share/jupyter/kernels" \ PYTHONPATH="$SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7-src.zip" \ PYSPARK_DRIVER_PYTHON="$PYSPARK_PYTHON" \ PYSPARK_SUBMIT_ARGS="--master $SPARK_MASTER pyspark-shell" \ PYTHONSTARTUP="$SPARK_HOME/python/pyspark/shell.py" # ENV SPARKMONITOR_UI_PORT 8080 USER $NB_UID RUN ipython kernel install --user --name $KERNEL_NAME # kernel.json is based on the template from <https://github.com/Anchormen/pyspark-jupyter-kernels>. COPY kernel.json pyspark-kernel.sh $KERNELS_DIR_PATH/$KERNEL_NAME/ 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 # pyspark-kernel.sh will automatically set up the PySpark context when # the kernel is loaded. 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 $NB_USER RUN apk add --no-cache --virtual .build-deps \ build-base \ zeromq-dev \ python3-dev \ py3-zmq RUN pip install --upgrade \ pip \ && pip install \ jupyter \ kafka-python \ pyspark \ sparkmonitor RUN apk del .build-deps ENV PYSPARK_PYTHON="/usr/local/bin/python3" ENV KERNEL_NAME="PySpark" \ KERNELS_TEMPLATE_PATH="/tmp" \ KERNELS_DIR_PATH="/home/$NB_USER/.local/share/jupyter/kernels" \ PYTHONPATH="$SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7-src.zip" \ PYSPARK_DRIVER_PYTHON="$PYSPARK_PYTHON" \ PYSPARK_SUBMIT_ARGS="--master $SPARK_MASTER pyspark-shell" \ PYTHONSTARTUP="$SPARK_HOME/python/pyspark/shell.py" # RUN mkdir -p $KERNELS_DIR_PATH/$KERNEL_NAME \ # && pip install pyhocon \ # && cat $KERNELS_TEMPLATE_PATH/kernel.json \| pyhocon -f json >> $KERNELS_DIR_PATH/$KERNEL_NAME/kernel.json \ # && pip uninstall -y pyhocon pyparsing # ENV SPARKMONITOR_UI_PORT 8080 USER $NB_UID RUN ipython kernel install --user --name $KERNEL_NAME COPY kernel.json pyspark-kernel.sh $KERNELS_DIR_PATH/$KERNEL_NAME/ 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 \
        jupyter \
        kafka-python \
        pyspark \
        sparkmonitor

RUN apk del .build-deps

ENV PYSPARK_PYTHON="/usr/local/bin/python3"

ENV KERNEL_NAME="PySpark" \
    KERNELS_TEMPLATE_PATH="/tmp" \
    KERNELS_DIR_PATH="/home/$NB_USER/.local/share/jupyter/kernels" \
    PYTHONPATH="$SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7-src.zip" \
    PYSPARK_DRIVER_PYTHON="$PYSPARK_PYTHON" \
    PYSPARK_SUBMIT_ARGS="--master $SPARK_MASTER pyspark-shell" \
    PYTHONSTARTUP="$SPARK_HOME/python/pyspark/shell.py"

# ENV SPARKMONITOR_UI_PORT 8080

USER $NB_UID

RUN ipython kernel install --user --name $KERNEL_NAME
# kernel.json is based on the template from <https://github.com/Anchormen/pyspark-jupyter-kernels>.
COPY kernel.json pyspark-kernel.sh $KERNELS_DIR_PATH/$KERNEL_NAME/

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

# pyspark-kernel.sh will automatically set up the PySpark context when
# the kernel is loaded.
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

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

RUN apk del .build-deps

ENV PYSPARK_PYTHON="/usr/local/bin/python3"

# RUN mkdir -p $KERNELS_DIR_PATH/$KERNEL_NAME \
#     && pip install pyhocon \
#     && cat $KERNELS_TEMPLATE_PATH/kernel.json | pyhocon -f json >> $KERNELS_DIR_PATH/$KERNEL_NAME/kernel.json \
#     && pip uninstall -y pyhocon pyparsing

# ENV SPARKMONITOR_UI_PORT 8080

USER $NB_UID

RUN ipython kernel install --user --name $KERNEL_NAME
COPY kernel.json pyspark-kernel.sh $KERNELS_DIR_PATH/$KERNEL_NAME/

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"]

Ignore Space Show notes View pyspark/pyspark-kernel.sh
#!/bin/sh # Based on <https://github.com/jupyterhub/jupyterhub/issues/847>. exec /usr/bin/python3 -m ipykernel $@ #!/bin/sh # module lsst exec /usr/bin/python3 -m ipykernel $@

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