Split out source distro CLASSPATH logic to a separate script

run

 #!/bin/bash
 
-SCALA_VERSION=2.9.3
-
 # Figure out where the Scala framework is installed
 FWDIR="$(cd `dirname $0`; pwd)"
 
@@ -46,36 +44,6 @@ case "$1" in
     ;;
 esac
 
-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
-
 # Figure out how much memory to use per executor and set it as an environment
 # variable so that our process sees it and can report it to Mesos
 if [ -z "$SPARK_MEM" ] ; then
@@ -93,64 +61,28 @@ if [ -e $FWDIR/conf/java-opts ] ; then
 fi
 export JAVA_OPTS
 
-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 $CORE_DIR/target" >&2
-  echo "You need to compile Spark before running this program" >&2
-  exit 1
-fi
+# Check if this is a binary distribution or source distribution
+# and build up the classpath appropriately
+if [ -f "$FWDIR/RELEASE" ]; then
+  echo "This is a binary distribution"
 
-if [[ "$@" = *repl* && ! -e "$REPL_DIR/target" ]]; then
-  echo "Failed to find Spark classes in $REPL_DIR/target" >&2
-  echo "You need to compile Spark repl module before running this program" >&2
-  exit 1
-fi
+  if [ `command -v java` ]; then
+    RUNNER="java"
+  else
+    if [ -z "$JAVA_HOME" ]; then
+      echo "JAVA_HOME is not set" >&2
+      exit 1
+    fi
+    RUNNER="${JAVA_HOME}/bin/java"
+  fi
 
-# 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:$jar"
-done
+  CLASSPATH="$SPARK_CLASSPATH:$FWDIR/jars/*"
 
-# 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`
+  # The JVM doesn't read JAVA_OPTS by default so we need to pass it in
+  EXTRA_ARGS="$JAVA_OPTS"
+else
+  echo "This is a source distribution"
+  . "$FWDIR/set-dev-classpath.sh"
 fi
 
 # Add hadoop conf dir - else FileSystem.*, etc fail !
@@ -163,22 +95,5 @@ if [ "x" != "x$YARN_CONF_DIR" ]; then
   CLASSPATH="$CLASSPATH:$YARN_CONF_DIR"
 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
-
 export CLASSPATH # Needed for spark-shell
 exec "$RUNNER" -cp "$CLASSPATH" $EXTRA_ARGS "$@"

set-dev-classpath.sh

+# 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