зеркало из https://github.com/microsoft/spark.git
154 строки
4.7 KiB
Bash
Executable File
154 строки
4.7 KiB
Bash
Executable File
#!/bin/bash
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SCALA_VERSION=2.9.2
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# Figure out where the Scala framework is installed
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FWDIR="$(cd `dirname $0`; pwd)"
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# Export this as SPARK_HOME
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export SPARK_HOME="$FWDIR"
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# Load environment variables from conf/spark-env.sh, if it exists
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if [ -e $FWDIR/conf/spark-env.sh ] ; then
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. $FWDIR/conf/spark-env.sh
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fi
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if [ -z "$1" ]; then
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echo "Usage: run <spark-class> [<args>]" >&2
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exit 1
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fi
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# If this is a standalone cluster daemon, reset SPARK_JAVA_OPTS and SPARK_MEM to reasonable
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# values for that; it doesn't need a lot
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if [ "$1" = "spark.deploy.master.Master" -o "$1" = "spark.deploy.worker.Worker" ]; then
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SPARK_MEM=${SPARK_DAEMON_MEMORY:-512m}
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SPARK_JAVA_OPTS=$SPARK_DAEMON_JAVA_OPTS # Empty by default
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fi
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# Add java opts for master, worker, executor. The opts maybe null
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case "$1" in
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'spark.deploy.master.Master')
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SPARK_JAVA_OPTS+=" $SPARK_MASTER_OPTS"
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;;
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'spark.deploy.worker.Worker')
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SPARK_JAVA_OPTS+=" $SPARK_WORKER_OPTS"
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;;
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'spark.executor.StandaloneExecutorBackend')
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SPARK_JAVA_OPTS+=" $SPARK_EXECUTOR_OPTS"
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;;
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'spark.executor.MesosExecutorBackend')
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SPARK_JAVA_OPTS+=" $SPARK_EXECUTOR_OPTS"
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;;
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'spark.repl.Main')
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SPARK_JAVA_OPTS+=" $SPARK_REPL_OPTS"
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;;
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esac
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if [ "$SPARK_LAUNCH_WITH_SCALA" == "1" ]; then
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if [ `command -v scala` ]; then
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RUNNER="scala"
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else
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if [ -z "$SCALA_HOME" ]; then
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echo "SCALA_HOME is not set" >&2
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exit 1
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fi
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RUNNER="${SCALA_HOME}/bin/scala"
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fi
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else
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if [ `command -v java` ]; then
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RUNNER="java"
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else
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if [ -z "$JAVA_HOME" ]; then
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echo "JAVA_HOME is not set" >&2
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exit 1
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fi
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RUNNER="${JAVA_HOME}/bin/java"
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fi
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if [ -z "$SCALA_LIBRARY_PATH" ]; then
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if [ -z "$SCALA_HOME" ]; then
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echo "SCALA_HOME is not set" >&2
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exit 1
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fi
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SCALA_LIBRARY_PATH="$SCALA_HOME/lib"
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fi
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fi
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# Figure out how much memory to use per executor and set it as an environment
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# variable so that our process sees it and can report it to Mesos
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if [ -z "$SPARK_MEM" ] ; then
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SPARK_MEM="512m"
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fi
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export SPARK_MEM
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# Set JAVA_OPTS to be able to load native libraries and to set heap size
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JAVA_OPTS="$SPARK_JAVA_OPTS"
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JAVA_OPTS+=" -Djava.library.path=$SPARK_LIBRARY_PATH"
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JAVA_OPTS+=" -Xms$SPARK_MEM -Xmx$SPARK_MEM"
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# Load extra JAVA_OPTS from conf/java-opts, if it exists
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if [ -e $FWDIR/conf/java-opts ] ; then
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JAVA_OPTS+=" `cat $FWDIR/conf/java-opts`"
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fi
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export JAVA_OPTS
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CORE_DIR="$FWDIR/core"
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REPL_DIR="$FWDIR/repl"
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EXAMPLES_DIR="$FWDIR/examples"
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BAGEL_DIR="$FWDIR/bagel"
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STREAMING_DIR="$FWDIR/streaming"
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PYSPARK_DIR="$FWDIR/python"
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# Exit if the user hasn't compiled Spark
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if [ ! -e "$REPL_DIR/target" ]; then
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echo "Failed to find Spark classes in $REPL_DIR/target" >&2
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echo "You need to compile Spark before running this program" >&2
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exit 1
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fi
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# Build up classpath
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CLASSPATH="$SPARK_CLASSPATH"
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CLASSPATH+=":$FWDIR/conf"
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CLASSPATH+=":$CORE_DIR/target/scala-$SCALA_VERSION/classes"
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if [ -n "$SPARK_TESTING" ] ; then
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CLASSPATH+=":$CORE_DIR/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH+=":$STREAMING_DIR/target/scala-$SCALA_VERSION/test-classes"
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fi
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CLASSPATH+=":$CORE_DIR/src/main/resources"
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CLASSPATH+=":$REPL_DIR/target/scala-$SCALA_VERSION/classes"
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CLASSPATH+=":$EXAMPLES_DIR/target/scala-$SCALA_VERSION/classes"
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CLASSPATH+=":$STREAMING_DIR/target/scala-$SCALA_VERSION/classes"
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CLASSPATH+=":$STREAMING_DIR/lib/org/apache/kafka/kafka/0.7.2-spark/*" # <-- our in-project Kafka Jar
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if [ -e "$FWDIR/lib_managed" ]; then
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CLASSPATH+=":$FWDIR/lib_managed/jars/*"
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CLASSPATH+=":$FWDIR/lib_managed/bundles/*"
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fi
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CLASSPATH+=":$REPL_DIR/lib/*"
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if [ -e repl-bin/target ]; then
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for jar in `find "repl-bin/target" -name 'spark-repl-*-shaded-hadoop*.jar'`; do
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CLASSPATH+=":$jar"
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done
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fi
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CLASSPATH+=":$BAGEL_DIR/target/scala-$SCALA_VERSION/classes"
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for jar in `find $PYSPARK_DIR/lib -name '*jar'`; do
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CLASSPATH+=":$jar"
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done
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export CLASSPATH # Needed for spark-shell
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# Figure out whether to run our class with java or with the scala launcher.
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# In most cases, we'd prefer to execute our process with java because scala
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# creates a shell script as the parent of its Java process, which makes it
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# hard to kill the child with stuff like Process.destroy(). However, for
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# the Spark shell, the wrapper is necessary to properly reset the terminal
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# when we exit, so we allow it to set a variable to launch with scala.
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if [ "$SPARK_LAUNCH_WITH_SCALA" == "1" ]; then
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EXTRA_ARGS="" # Java options will be passed to scala as JAVA_OPTS
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else
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CLASSPATH+=":$SCALA_LIBRARY_PATH/scala-library.jar"
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CLASSPATH+=":$SCALA_LIBRARY_PATH/scala-compiler.jar"
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CLASSPATH+=":$SCALA_LIBRARY_PATH/jline.jar"
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# The JVM doesn't read JAVA_OPTS by default so we need to pass it in
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EXTRA_ARGS="$JAVA_OPTS"
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fi
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exec "$RUNNER" -cp "$CLASSPATH" $EXTRA_ARGS "$@"
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