# A BASH script to set the classpath for running Spark out of the developer/github tree SCALA_VERSION=2.9.3 # Figure out where the Scala framework is installed FWDIR="$(cd `dirname $0`; pwd)" if [ "$SPARK_LAUNCH_WITH_SCALA" == "1" ]; then if [ "$SCALA_HOME" ]; then RUNNER="${SCALA_HOME}/bin/scala" else if [ `command -v scala` ]; then RUNNER="scala" else echo "SCALA_HOME is not set and scala is not in PATH" >&2 exit 1 fi fi else if [ `command -v java` ]; then RUNNER="java" else if [ -z "$JAVA_HOME" ]; then echo "JAVA_HOME is not set" >&2 exit 1 fi RUNNER="${JAVA_HOME}/bin/java" fi if [ -z "$SCALA_LIBRARY_PATH" ]; then if [ -z "$SCALA_HOME" ]; then echo "SCALA_HOME is not set" >&2 exit 1 fi SCALA_LIBRARY_PATH="$SCALA_HOME/lib" fi fi CORE_DIR="$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" # Exit if the user hasn't compiled Spark if [ ! -e "$CORE_DIR/target" ]; then echo "Failed to find Spark classes in $CORE_DIR/target" >&2 echo "You need to compile Spark before running this program" >&2 exit 1 fi if [[ "$@" = *repl* && ! -e "$REPL_DIR/target" ]]; then echo "Failed to find Spark classes in $REPL_DIR/target" >&2 echo "You need to compile Spark repl module before running this program" >&2 exit 1 fi # Build up classpath CLASSPATH="$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/*" 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 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-"*hadoop[12].jar ]; then # Use the JAR from the Maven build export SPARK_EXAMPLES_JAR=`ls "$EXAMPLES_DIR/target/spark-examples-"*hadoop[12].jar` fi # Figure out whether to run our class with java or with the scala launcher. # In most cases, we'd prefer to execute our process with java because scala # creates a shell script as the parent of its Java process, which makes it # hard to kill the child with stuff like Process.destroy(). However, for # the Spark shell, the wrapper is necessary to properly reset the terminal # when we exit, so we allow it to set a variable to launch with scala. if [ "$SPARK_LAUNCH_WITH_SCALA" == "1" ]; then EXTRA_ARGS="" # Java options will be passed to scala as JAVA_OPTS else CLASSPATH="$CLASSPATH:$SCALA_LIBRARY_PATH/scala-library.jar" CLASSPATH="$CLASSPATH:$SCALA_LIBRARY_PATH/scala-compiler.jar" CLASSPATH="$CLASSPATH:$SCALA_LIBRARY_PATH/jline.jar" # The JVM doesn't read JAVA_OPTS by default so we need to pass it in EXTRA_ARGS="$JAVA_OPTS" fi