spark-instrumented-optimizer/bin/spark-class

#!/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.
#

# NOTE: Any changes to this file must be reflected in SparkSubmitDriverBootstrapper.scala!

cygwin=false
case "`uname`" in
    CYGWIN*) cygwin=true;;
esac

# 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_JAVA_OPTS + SPARK_SUBMIT_OPTS +
  # SPARK_DRIVER_MEMORY + SPARK_SUBMIT_DRIVER_MEMORY.
  'org.apache.spark.deploy.SparkSubmit')
    OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_SUBMIT_OPTS"
    OUR_JAVA_MEM=${SPARK_DRIVER_MEMORY:-$DEFAULT_MEM}
    if [ -n "$SPARK_SUBMIT_LIBRARY_PATH" ]; then
      if [[ $OSTYPE == darwin* ]]; then
       export DYLD_LIBRARY_PATH="$SPARK_SUBMIT_LIBRARY_PATH:$DYLD_LIBRARY_PATH"
      else
       export LD_LIBRARY_PATH="$SPARK_SUBMIT_LIBRARY_PATH:$LD_LIBRARY_PATH"
      fi
    fi
    if [ -n "$SPARK_SUBMIT_DRIVER_MEMORY" ]; then
      OUR_JAVA_MEM="$SPARK_SUBMIT_DRIVER_MEMORY"
    fi
    ;;

  *)
    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
JAVA_VERSION=$("$RUNNER" -version 2>&1 | grep 'version' | sed 's/.* version "\(.*\)\.\(.*\)\..*"/\1\2/; 1q')

# Set JAVA_OPTS to be able to load native libraries and to set heap size
if [ "$JAVA_VERSION" -ge 18 ]; then
  JAVA_OPTS="$OUR_JAVA_OPTS"
else
  JAVA_OPTS="-XX:MaxPermSize=128m $OUR_JAVA_OPTS"
fi
JAVA_OPTS="$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

# Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in CommandUtils.scala!

TOOLS_DIR="$FWDIR"/tools
SPARK_TOOLS_JAR=""
if [ -e "$TOOLS_DIR"/target/scala-$SPARK_SCALA_VERSION/spark-tools*[0-9Tg].jar ]; then
  # Use the JAR from the SBT build
  export SPARK_TOOLS_JAR="`ls "$TOOLS_DIR"/target/scala-$SPARK_SCALA_VERSION/spark-tools*[0-9Tg].jar`"
fi
if [ -e "$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 [[ "$1" =~ org.apache.spark.tools.* ]]; then
  if test -z "$SPARK_TOOLS_JAR"; then
    echo "Failed to find Spark Tools Jar in $FWDIR/tools/target/scala-$SPARK_SCALA_VERSION/" 1>&2
    echo "You need to build Spark before running $1." 1>&2
    exit 1
  fi
  CLASSPATH="$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

# In Spark submit client mode, the driver is launched in the same JVM as Spark submit itself.
# Here we must parse the properties file for relevant "spark.driver.*" configs before launching
# the driver JVM itself. Instead of handling this complexity in Bash, we launch a separate JVM
# to prepare the launch environment of this driver JVM.

if [ -n "$SPARK_SUBMIT_BOOTSTRAP_DRIVER" ]; then
  # This is used only if the properties file actually contains these special configs
  # Export the environment variables needed by SparkSubmitDriverBootstrapper
  export RUNNER
  export CLASSPATH
  export JAVA_OPTS
  export OUR_JAVA_MEM
  export SPARK_CLASS=1
  shift # Ignore main class (org.apache.spark.deploy.SparkSubmit) and use our own
  exec "$RUNNER" org.apache.spark.deploy.SparkSubmitDriverBootstrapper "$@"
else
  # Note: The format of this command is closely echoed in SparkSubmitDriverBootstrapper.scala
  if [ -n "$SPARK_PRINT_LAUNCH_COMMAND" ]; 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" $JAVA_OPTS "$@"
fi