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+#!/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"