cloudera_run.sh

#!/usr/bin/env bash

#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
export SPARK_HOME=/usr/lib/spark/

if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi

source "${SPARK_HOME}"/bin/load-spark-env.sh
export _SPARK_CMD_USAGE="Usage: ./bin/pyspark [options]"

# In Spark <= 1.1, setting IPYTHON=1 would cause the driver to be launched using the `ipython`
# executable, while the worker would still be launched using PYSPARK_PYTHON.
#
# In Spark 1.2, we removed the documentation of the IPYTHON and IPYTHON_OPTS variables and added
# PYSPARK_DRIVER_PYTHON and PYSPARK_DRIVER_PYTHON_OPTS to allow IPython to be used for the driver.
# Now, users can simply set PYSPARK_DRIVER_PYTHON=ipython to use IPython and set
# PYSPARK_DRIVER_PYTHON_OPTS to pass options when starting the Python driver
# (e.g. PYSPARK_DRIVER_PYTHON_OPTS='notebook').  This supports full customization of the IPython
# and executor Python executables.
#
# For backwards-compatibility, we retain the old IPYTHON and IPYTHON_OPTS variables.

# Determine the Python executable to use if PYSPARK_PYTHON or PYSPARK_DRIVER_PYTHON isn't set:
if hash python2.7 2>/dev/null; then
  # Attempt to use Python 2.7, if installed:
  DEFAULT_PYTHON="python2.7"
else
  DEFAULT_PYTHON="python"
fi

# Determine the Python executable to use for the driver:
if [[ -n "$IPYTHON_OPTS" || "$IPYTHON" == "1" ]]; then
  # If IPython options are specified, assume user wants to run IPython
  # (for backwards-compatibility)
  PYSPARK_DRIVER_PYTHON_OPTS="$PYSPARK_DRIVER_PYTHON_OPTS $IPYTHON_OPTS"
  PYSPARK_DRIVER_PYTHON="ipython"
elif [[ -z "$PYSPARK_DRIVER_PYTHON" ]]; then
  PYSPARK_DRIVER_PYTHON="${PYSPARK_PYTHON:-"$DEFAULT_PYTHON"}"
fi

# Determine the Python executable to use for the executors:
if [[ -z "$PYSPARK_PYTHON" ]]; then
  if [[ $PYSPARK_DRIVER_PYTHON == *ipython* && $DEFAULT_PYTHON != "python2.7" ]]; then
    echo "IPython requires Python 2.7+; please install python2.7 or set PYSPARK_PYTHON" 1>&2
    exit 1
  else
    PYSPARK_PYTHON="$DEFAULT_PYTHON"
  fi
fi
export PYSPARK_PYTHON

# Add the PySpark classes to the Python path:
export PYTHONPATH="${SPARK_HOME}/python/:$PYTHONPATH"
export PYTHONPATH="${SPARK_HOME}/python/lib/py4j-0.9-src.zip:$PYTHONPATH"

# Load the PySpark shell.py script when ./pyspark is used interactively:
export OLD_PYTHONSTARTUP="$PYTHONSTARTUP"
export PYTHONSTARTUP="${SPARK_HOME}/python/pyspark/shell.py"

# For pyspark tests
if [[ -n "$SPARK_TESTING" ]]; then
  unset YARN_CONF_DIR
  unset HADOOP_CONF_DIR
  export PYTHONHASHSEED=0
  exec "$PYSPARK_DRIVER_PYTHON" -m $1
  exit
fi

export PYSPARK_DRIVER_PYTHON
export PYSPARK_DRIVER_PYTHON_OPTS

# kostya
export PYSPARK_PYTHON=/home/cloudera/anaconda2/bin/python
#export PYTHONPATH="/home/cloudera/anaconda3/bin:$PYTHONPATH"

exec $PYSPARK_PYTHON "$@"