diff options
Diffstat (limited to 'bin/spark-class')
| -rwxr-xr-x | bin/spark-class | 180 |
1 files changed, 37 insertions, 143 deletions
diff --git a/bin/spark-class b/bin/spark-class index 2f0441bb3c..e29b234afa 100755 --- a/bin/spark-class +++ b/bin/spark-class @@ -16,89 +16,18 @@ # 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 +set -e # Figure out where Spark is installed -FWDIR="$(cd "`dirname "$0"`"/..; pwd)" +export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)" -# Export this as SPARK_HOME -export SPARK_HOME="$FWDIR" -export SPARK_CONF_DIR="${SPARK_CONF_DIR:-"$SPARK_HOME/conf"}" - -. "$FWDIR"/bin/load-spark-env.sh +. "$SPARK_HOME"/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:-$DEFAULT_MEM} - export PYTHONPATH="$FWDIR/python:$PYTHONPATH" - export PYTHONPATH="$FWDIR/python/lib/py4j-0.8.2.1-src.zip:$PYTHONPATH" - ;; - - # Spark submit uses SPARK_JAVA_OPTS + SPARK_SUBMIT_OPTS + - # SPARK_DRIVER_MEMORY + SPARK_SUBMIT_DRIVER_MEMORY. - 'org.apache.spark.deploy.SparkSubmit') - OUR_JAVA_OPTS="$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" @@ -110,83 +39,48 @@ else 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 "$SPARK_CONF_DIR/java-opts" ] ; then - JAVA_OPTS="$JAVA_OPTS `cat "$SPARK_CONF_DIR"/java-opts`" -fi - -# Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in CommandUtils.scala! - -TOOLS_DIR="$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 +# Look for the launcher. In non-release mode, add the compiled classes directly to the classpath +# instead of looking for a jar file. +SPARK_LAUNCHER_CP= +if [ -f $SPARK_HOME/RELEASE ]; then + LAUNCHER_DIR="$SPARK_HOME/lib" + num_jars="$(ls -1 "$LAUNCHER_DIR" | grep "^spark-launcher.*\.jar$" | wc -l)" + if [ "$num_jars" -eq "0" -a -z "$SPARK_LAUNCHER_CP" ]; then + echo "Failed to find Spark launcher in $LAUNCHER_DIR." 1>&2 + echo "You need to build Spark before running this program." 1>&2 + exit 1 + 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 run \"build/sbt tools/package\" before running $1." 1>&2 + LAUNCHER_JARS="$(ls -1 "$LAUNCHER_DIR" | grep "^spark-launcher.*\.jar$" || true)" + if [ "$num_jars" -gt "1" ]; then + echo "Found multiple Spark launcher jars in $LAUNCHER_DIR:" 1>&2 + echo "$LAUNCHER_JARS" 1>&2 + echo "Please remove all but one jar." 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"`" + SPARK_LAUNCHER_CP="${LAUNCHER_DIR}/${LAUNCHER_JARS}" +else + LAUNCHER_DIR="$SPARK_HOME/launcher/target/scala-$SPARK_SCALA_VERSION" + if [ ! -d "$LAUNCHER_DIR/classes" ]; then + echo "Failed to find Spark launcher classes in $LAUNCHER_DIR." 1>&2 + echo "You need to build Spark before running this program." 1>&2 + exit 1 fi + SPARK_LAUNCHER_CP="$LAUNCHER_DIR/classes" 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. +# The launcher library will print arguments separated by a NULL character, to allow arguments with +# characters that would be otherwise interpreted by the shell. Read that in a while loop, populating +# an array that will be used to exec the final command. +CMD=() +while IFS= read -d '' -r ARG; do + CMD+=("$ARG") +done < <("$RUNNER" -cp "$SPARK_LAUNCHER_CP" org.apache.spark.launcher.Main "$@") -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 "$@" +if [ "${CMD[0]}" = "usage" ]; then + "${CMD[@]}" else - # Note: The format of this command is closely echoed in SparkSubmitDriverBootstrapper.scala - if [ -n "$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" $JAVA_OPTS "$@" + exec "${CMD[@]}" fi - |