spark-instrumented-optimizer/bin/pyspark

#!/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.
#

# Figure out where the Scala framework is installed
FWDIR="$(cd `dirname $0`/..; pwd)"

# Export this as SPARK_HOME
export SPARK_HOME="$FWDIR"

SCALA_VERSION=2.10

if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then
  echo "Usage: ./bin/pyspark [options]"
  $FWDIR/bin/spark-submit --help 2>&1 | grep -v Usage 1>&2
  exit 0
fi

# Exit if the user hasn't compiled Spark
if [ ! -f "$FWDIR/RELEASE" ]; then
  # Exit if the user hasn't compiled Spark
  ls "$FWDIR"/assembly/target/scala-$SCALA_VERSION/spark-assembly*hadoop*.jar >& /dev/null
  if [[ $? != 0 ]]; then
    echo "Failed to find Spark assembly in $FWDIR/assembly/target" >&2
    echo "You need to build Spark before running this program" >&2
    exit 1
  fi
fi

. $FWDIR/bin/load-spark-env.sh

# Figure out which Python executable to use
if [ -z "$PYSPARK_PYTHON" ] ; then
  PYSPARK_PYTHON="python"
fi
export PYSPARK_PYTHON

# Add the PySpark classes to the Python path:
export PYTHONPATH=$SPARK_HOME/python/:$PYTHONPATH
export PYTHONPATH=$SPARK_HOME/python/lib/py4j-0.8.1-src.zip:$PYTHONPATH

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

# If IPython options are specified, assume user wants to run IPython
if [ -n "$IPYTHON_OPTS" ]; then
  IPYTHON=1
fi

# Build up arguments list manually to preserve quotes and backslashes.
# We export Spark submit arguments as an environment variable because shell.py must run as a
# PYTHONSTARTUP script, which does not take in arguments. This is required for IPython notebooks.

PYSPARK_SUBMIT_ARGS=""
whitespace="[[:space:]]"
for i in "$@"; do
  if [[ $i =~ \" ]]; then i=$(echo $i | sed 's/\"/\\\"/g'); fi
  if [[ $i =~ $whitespace ]]; then i=\"$i\"; fi
  PYSPARK_SUBMIT_ARGS="$PYSPARK_SUBMIT_ARGS $i"
done
export PYSPARK_SUBMIT_ARGS

# If a python file is provided, directly run spark-submit.
if [[ "$1" =~ \.py$ ]]; then
  echo -e "\nWARNING: Running python applications through ./bin/pyspark is deprecated as of Spark 1.0." 1>&2
  echo -e "Use ./bin/spark-submit <python file>\n" 1>&2
  exec $FWDIR/bin/spark-submit "$@"
else
  # Only use ipython if no command line arguments were provided [SPARK-1134]
  if [[ "$IPYTHON" = "1" ]]; then
    exec ipython $IPYTHON_OPTS
  else
    exec "$PYSPARK_PYTHON"
  fi
fi