From 6c8d1b2ca618a1a17566ede46821c0807a1b11f5 Mon Sep 17 00:00:00 2001
From: Matei Zaharia <matei@eecs.berkeley.edu>
Date: Tue, 25 Jun 2013 18:21:00 -0400
Subject: Fix computation of classpath when we launch java directly

The previous version assumed that a CLASSPATH environment variable was
set by the "run" script when launching the process that starts the
ExecutorRunner, but unfortunately this is not true in tests. Instead, we
factor the classpath calculation into an extenral script and call that.

NOTE: This includes a Windows version but hasn't yet been tested there.
---
 run | 67 ++++++++++---------------------------------------------------------
 1 file changed, 10 insertions(+), 57 deletions(-)

(limited to 'run')

diff --git a/run b/run
index 0fb15f8b24..7c06a55062 100755
--- a/run
+++ b/run
@@ -49,6 +49,12 @@ case "$1" in
     ;;
 esac
 
+# 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 [ "$SPARK_LAUNCH_WITH_SCALA" == "1" ]; then
   if [ "$SCALA_HOME" ]; then
     RUNNER="${SCALA_HOME}/bin/scala"
@@ -98,12 +104,8 @@ export JAVA_OPTS
 # Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in ExecutorRunner.scala!
 
 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="$FWDIR/python"
+REPL_DIR="$FWDIR/repl"
 
 # Exit if the user hasn't compiled Spark
 if [ ! -e "$CORE_DIR/target" ]; then
@@ -118,37 +120,9 @@ if [[ "$@" = *repl* && ! -e "$REPL_DIR/target" ]]; then
   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/*"
-# 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:$jar"
-done
+# Compute classpath using external script
+CLASSPATH=`$FWDIR/bin/compute-classpath.sh`
+export CLASSPATH
 
 # 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.
@@ -161,32 +135,11 @@ if [ -e "$EXAMPLES_DIR/target/spark-examples"*[0-9T].jar ]; then
   export SPARK_EXAMPLES_JAR=`ls "$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
-
-
-# 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" $EXTRA_ARGS "$@"
-- 
cgit v1.2.3