aztk/custom-scripts/jupyter.sh

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#!/bin/bash
# This custom script only works on images where jupyter is pre-installed on the Docker image
#
# This custom script has been tested to work on the following docker images:
# - aztk/python:spark2.2.0-python3.6.2-base
# - aztk/python:spark2.2.0-python3.6.2-gpu
# - aztk/python:spark2.1.0-python3.6.2-base
# - aztk/python:spark2.1.0-python3.6.2-gpu
if [ "$AZTK_IS_MASTER" = "true" ]; then
pip install jupyter --upgrade
pip install notebook --upgrade
PYSPARK_DRIVER_PYTHON="/opt/conda/bin/jupyter"
JUPYTER_KERNELS="/opt/conda/share/jupyter/kernels"
# disable password/token on jupyter notebook
jupyter notebook --generate-config --allow-root
JUPYTER_CONFIG='/root/.jupyter/jupyter_notebook_config.py'
echo >> $JUPYTER_CONFIG
echo -e 'c.NotebookApp.token=""' >> $JUPYTER_CONFIG
echo -e 'c.NotebookApp.password=""' >> $JUPYTER_CONFIG
# get master ip
MASTER_IP=$(hostname -i)
# remove existing kernels
rm -rf $JUPYTER_KERNELS/*
# set up jupyter to use pyspark
mkdir $JUPYTER_KERNELS/pyspark
touch $JUPYTER_KERNELS/pyspark/kernel.json
cat << EOF > $JUPYTER_KERNELS/pyspark/kernel.json
{
"display_name": "PySpark",
"language": "python",
"argv": [
"python",
"-m",
"ipykernel",
"-f",
"{connection_file}"
],
"env": {
"SPARK_HOME": "$SPARK_HOME",
"PYSPARK_PYTHON": "python",
"PYSPARK_SUBMIT_ARGS": "--master spark://$AZTK_MASTER_IP:7077 pyspark-shell"
}
}
EOF
# start jupyter notebook from /mnt - this is where we recommend you put your azure files mount point as well
cd /mnt
(PYSPARK_DRIVER_PYTHON=$PYSPARK_DRIVER_PYTHON PYSPARK_DRIVER_PYTHON_OPTS="notebook --no-browser --port=8888 --allow-root" pyspark &)
fi