path: root/bin/compute-classpath.sh

#!/bin/bash

# This script computes Spark's classpath and prints it to stdout; it's used by both the "run"
# script and the ExecutorRunner in standalone cluster mode.

SCALA_VERSION=2.9.3

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

# Load environment variables from conf/spark-env.sh, if it exists
if [ -e $FWDIR/conf/spark-env.sh ] ; then
  . $FWDIR/conf/spark-env.sh
fi

CORE_DIR="$FWDIR/core"
REPL_DIR="$FWDIR/repl"
REPL_BIN_DIR="$FWDIR/repl-bin"
EXAMPLES_DIR="$FWDIR/examples"
BAGEL_DIR="$FWDIR/bagel"
STREAMING_DIR="$FWDIR/streaming"
PYSPARK_DIR="$FWDIR/python"

# Build up classpath
CLASSPATH="$SPARK_CLASSPATH"
CLASSPATH="$CLASSPATH:$FWDIR/conf"
CLASSPATH="$CLASSPATH:$CORE_DIR/target/scala-$SCALA_VERSION/classes"
if [ -n "$SPARK_TESTING" ] ; then
  CLASSPATH="$CLASSPATH:$CORE_DIR/target/scala-$SCALA_VERSION/test-classes"
  CLASSPATH="$CLASSPATH:$STREAMING_DIR/target/scala-$SCALA_VERSION/test-classes"
fi
CLASSPATH="$CLASSPATH:$CORE_DIR/src/main/resources"
CLASSPATH="$CLASSPATH:$REPL_DIR/target/scala-$SCALA_VERSION/classes"
CLASSPATH="$CLASSPATH:$EXAMPLES_DIR/target/scala-$SCALA_VERSION/classes"
CLASSPATH="$CLASSPATH:$STREAMING_DIR/target/scala-$SCALA_VERSION/classes"
CLASSPATH="$CLASSPATH:$STREAMING_DIR/lib/org/apache/kafka/kafka/0.7.2-spark/*" # <-- our in-project Kafka Jar
if [ -e "$FWDIR/lib_managed" ]; then
  CLASSPATH="$CLASSPATH:$FWDIR/lib_managed/jars/*"
  CLASSPATH="$CLASSPATH:$FWDIR/lib_managed/bundles/*"
fi
CLASSPATH="$CLASSPATH:$REPL_DIR/lib/*"
# Add the shaded JAR for Maven builds
if [ -e $REPL_BIN_DIR/target ]; then
  for jar in `find "$REPL_BIN_DIR/target" -name 'spark-repl-*-shaded-hadoop*.jar'`; do
    CLASSPATH="$CLASSPATH:$jar"
  done
  # The shaded JAR doesn't contain examples, so include those separately
  EXAMPLES_JAR=`ls "$EXAMPLES_DIR/target/spark-examples"*[0-9T].jar`
  CLASSPATH+=":$EXAMPLES_JAR"
fi
CLASSPATH="$CLASSPATH:$BAGEL_DIR/target/scala-$SCALA_VERSION/classes"
for jar in `find $PYSPARK_DIR/lib -name '*jar'`; do
  CLASSPATH="$CLASSPATH:$jar"
done

# Figure out the JAR file that our examples were packaged into. This includes a bit of a hack
# to avoid the -sources and -doc packages that are built by publish-local.
if [ -e "$EXAMPLES_DIR/target/scala-$SCALA_VERSION/spark-examples"*[0-9T].jar ]; then
  # Use the JAR from the SBT build
  export SPARK_EXAMPLES_JAR=`ls "$EXAMPLES_DIR/target/scala-$SCALA_VERSION/spark-examples"*[0-9T].jar`
fi
if [ -e "$EXAMPLES_DIR/target/spark-examples"*[0-9T].jar ]; then
  # Use the JAR from the Maven build
  export SPARK_EXAMPLES_JAR=`ls "$EXAMPLES_DIR/target/spark-examples"*[0-9T].jar`
fi

# Add hadoop conf dir - else FileSystem.*, etc fail !
# Note, this assumes that there is either a HADOOP_CONF_DIR or YARN_CONF_DIR which hosts
# the configurtion files.
if [ "x" != "x$HADOOP_CONF_DIR" ]; then
  CLASSPATH="$CLASSPATH:$HADOOP_CONF_DIR"
fi
if [ "x" != "x$YARN_CONF_DIR" ]; then
  CLASSPATH="$CLASSPATH:$YARN_CONF_DIR"
fi

# Add Scala standard library
if [ -z "$SCALA_LIBRARY_PATH" ]; then
  if [ -z "$SCALA_HOME" ]; then
    echo "SCALA_HOME is not set" >&2
    exit 1
  fi
  SCALA_LIBRARY_PATH="$SCALA_HOME/lib"
fi
CLASSPATH="$CLASSPATH:$SCALA_LIBRARY_PATH/scala-library.jar"
CLASSPATH="$CLASSPATH:$SCALA_LIBRARY_PATH/scala-compiler.jar"
CLASSPATH="$CLASSPATH:$SCALA_LIBRARY_PATH/jline.jar"

echo "$CLASSPATH"