spark-instrumented-optimizer/bin/run-example
2014-01-20 23:15:28 -08:00

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#!/usr/bin/env bash
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
cygwin=false
case "`uname`" in
CYGWIN*) cygwin=true;;
esac
SCALA_VERSION=2.10
# Figure out where the Scala framework is installed
FWDIR="$(cd `dirname $0`/..; pwd)"
# Export this as SPARK_HOME
export SPARK_HOME="$FWDIR"
# 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
if [ -z "$1" ]; then
echo "Usage: run-example <example-class> [<args>]" >&2
exit 1
fi
# Figure out the JAR file that our examples were packaged into. This includes a bit of a hack
# to avoid the -sources and -doc packages that are built by publish-local.
EXAMPLES_DIR="$FWDIR"/examples
SPARK_EXAMPLES_JAR=""
if [ -e "$EXAMPLES_DIR"/target/scala-$SCALA_VERSION/*assembly*[0-9Tg].jar ]; then
export SPARK_EXAMPLES_JAR=`ls "$EXAMPLES_DIR"/target/scala-$SCALA_VERSION/*assembly*[0-9Tg].jar`
fi
if [[ -z $SPARK_EXAMPLES_JAR ]]; then
echo "Failed to find Spark examples assembly in $FWDIR/examples/target" >&2
echo "You need to build Spark with sbt/sbt assembly before running this program" >&2
exit 1
fi
# Since the examples JAR ideally shouldn't include spark-core (that dependency should be
# "provided"), also add our standard Spark classpath, built using compute-classpath.sh.
CLASSPATH=`$FWDIR/bin/compute-classpath.sh`
CLASSPATH="$SPARK_EXAMPLES_JAR:$CLASSPATH"
if $cygwin; then
CLASSPATH=`cygpath -wp $CLASSPATH`
export SPARK_EXAMPLES_JAR=`cygpath -w $SPARK_EXAMPLES_JAR`
fi
# Find java binary
if [ -n "${JAVA_HOME}" ]; then
RUNNER="${JAVA_HOME}/bin/java"
else
if [ `command -v java` ]; then
RUNNER="java"
else
echo "JAVA_HOME is not set" >&2
exit 1
fi
fi
# Set JAVA_OPTS to be able to load native libraries and to set heap size
JAVA_OPTS="$SPARK_JAVA_OPTS"
JAVA_OPTS="$JAVA_OPTS -Djava.library.path=$SPARK_LIBRARY_PATH"
# Load extra JAVA_OPTS from conf/java-opts, if it exists
if [ -e "$FWDIR/conf/java-opts" ] ; then
JAVA_OPTS="$JAVA_OPTS `cat $FWDIR/conf/java-opts`"
fi
export JAVA_OPTS
if [ "$SPARK_PRINT_LAUNCH_COMMAND" == "1" ]; then
echo -n "Spark Command: "
echo "$RUNNER" -cp "$CLASSPATH" $JAVA_OPTS "$@"
echo "========================================"
echo
fi
exec "$RUNNER" -cp "$CLASSPATH" $JAVA_OPTS "$@"