| #!/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 Spark is installed |
| FWDIR="$(cd `dirname $0`/..; pwd)" |
| |
| # Export this as SPARK_HOME |
| export SPARK_HOME="$FWDIR" |
| |
| . $FWDIR/bin/load-spark-env.sh |
| |
| if [ -z "$1" ]; then |
| echo "Usage: spark-class <class> [<args>]" 1>&2 |
| exit 1 |
| fi |
| |
| if [ -n "$SPARK_MEM" ]; then |
| echo -e "Warning: SPARK_MEM is deprecated, please use a more specific config option" 1>&2 |
| echo -e "(e.g., spark.executor.memory or SPARK_DRIVER_MEMORY)." 1>&2 |
| fi |
| |
| # Use SPARK_MEM or 512m as the default memory, to be overridden by specific options |
| DEFAULT_MEM=${SPARK_MEM:-512m} |
| |
| SPARK_DAEMON_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS -Dspark.akka.logLifecycleEvents=true" |
| |
| # Add java opts and memory settings for master, worker, history server, executors, and repl. |
| case "$1" in |
| # Master, Worker, and HistoryServer use SPARK_DAEMON_JAVA_OPTS (and specific opts) + SPARK_DAEMON_MEMORY. |
| 'org.apache.spark.deploy.master.Master') |
| OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_MASTER_OPTS" |
| OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM} |
| ;; |
| 'org.apache.spark.deploy.worker.Worker') |
| OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_WORKER_OPTS" |
| OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM} |
| ;; |
| 'org.apache.spark.deploy.history.HistoryServer') |
| OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_HISTORY_OPTS" |
| OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM} |
| ;; |
| |
| # Executors use SPARK_JAVA_OPTS + SPARK_EXECUTOR_MEMORY. |
| 'org.apache.spark.executor.CoarseGrainedExecutorBackend') |
| OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_EXECUTOR_OPTS" |
| OUR_JAVA_MEM=${SPARK_EXECUTOR_MEMORY:-$DEFAULT_MEM} |
| ;; |
| 'org.apache.spark.executor.MesosExecutorBackend') |
| OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_EXECUTOR_OPTS" |
| OUR_JAVA_MEM=${SPARK_EXECUTOR_MEMORY:-$DEFAULT_MEM} |
| ;; |
| |
| # Spark submit uses SPARK_SUBMIT_OPTS and SPARK_JAVA_OPTS |
| 'org.apache.spark.deploy.SparkSubmit') |
| OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_SUBMIT_OPTS \ |
| -Djava.library.path=$SPARK_SUBMIT_LIBRARY_PATH" |
| OUR_JAVA_MEM=${SPARK_DRIVER_MEMORY:-$DEFAULT_MEM} |
| ;; |
| |
| *) |
| OUR_JAVA_OPTS="$SPARK_JAVA_OPTS" |
| OUR_JAVA_MEM=${SPARK_DRIVER_MEMORY:-$DEFAULT_MEM} |
| ;; |
| esac |
| |
| # Find the java binary |
| if [ -n "${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="-XX:MaxPermSize=128m $OUR_JAVA_OPTS" |
| JAVA_OPTS="$JAVA_OPTS -Xms$OUR_JAVA_MEM -Xmx$OUR_JAVA_MEM" |
| # Load extra JAVA_OPTS from conf/java-opts, if it exists |
| if [ -e "$FWDIR/conf/java-opts" ] ; then |
| JAVA_OPTS="$JAVA_OPTS `cat $FWDIR/conf/java-opts`" |
| fi |
| export JAVA_OPTS |
| # Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in CommandUtils.scala! |
| |
| if [ ! -f "$FWDIR/RELEASE" ]; then |
| # Exit if the user hasn't compiled Spark |
| num_jars=$(ls "$FWDIR"/assembly/target/scala-$SCALA_VERSION/ | grep "spark-assembly.*hadoop.*.jar" | wc -l) |
| jars_list=$(ls "$FWDIR"/assembly/target/scala-$SCALA_VERSION/ | grep "spark-assembly.*hadoop.*.jar") |
| if [ "$num_jars" -eq "0" ]; then |
| echo "Failed to find Spark assembly in $FWDIR/assembly/target/scala-$SCALA_VERSION/" >&2 |
| echo "You need to build Spark before running this program." >&2 |
| exit 1 |
| fi |
| if [ "$num_jars" -gt "1" ]; then |
| echo "Found multiple Spark assembly jars in $FWDIR/assembly/target/scala-$SCALA_VERSION:" >&2 |
| echo "$jars_list" |
| echo "Please remove all but one jar." |
| exit 1 |
| fi |
| fi |
| |
| TOOLS_DIR="$FWDIR"/tools |
| SPARK_TOOLS_JAR="" |
| if [ -e "$TOOLS_DIR"/target/scala-$SCALA_VERSION/*assembly*[0-9Tg].jar ]; then |
| # Use the JAR from the SBT build |
| export SPARK_TOOLS_JAR=`ls "$TOOLS_DIR"/target/scala-$SCALA_VERSION/*assembly*[0-9Tg].jar` |
| fi |
| if [ -e "$TOOLS_DIR"/target/spark-tools*[0-9Tg].jar ]; then |
| # Use the JAR from the Maven build |
| # TODO: this also needs to become an assembly! |
| export SPARK_TOOLS_JAR=`ls "$TOOLS_DIR"/target/spark-tools*[0-9Tg].jar` |
| fi |
| |
| # Compute classpath using external script |
| classpath_output=$($FWDIR/bin/compute-classpath.sh) |
| if [[ "$?" != "0" ]]; then |
| echo "$classpath_output" |
| exit 1 |
| else |
| CLASSPATH=$classpath_output |
| fi |
| |
| if [[ "$1" =~ org.apache.spark.tools.* ]]; then |
| CLASSPATH="$CLASSPATH:$SPARK_TOOLS_JAR" |
| fi |
| |
| if $cygwin; then |
| CLASSPATH=`cygpath -wp $CLASSPATH` |
| if [ "$1" == "org.apache.spark.tools.JavaAPICompletenessChecker" ]; then |
| export SPARK_TOOLS_JAR=`cygpath -w $SPARK_TOOLS_JAR` |
| fi |
| fi |
| export CLASSPATH |
| |
| if [ "$SPARK_PRINT_LAUNCH_COMMAND" == "1" ]; then |
| echo -n "Spark Command: " 1>&2 |
| echo "$RUNNER" -cp "$CLASSPATH" $JAVA_OPTS "$@" 1>&2 |
| echo -e "========================================\n" 1>&2 |
| fi |
| |
| exec "$RUNNER" -cp "$CLASSPATH" $JAVA_OPTS "$@" |