diff --git a/.gitignore b/.gitignore index 9757054a50f9e..d162fa9cca994 100644 --- a/.gitignore +++ b/.gitignore @@ -6,6 +6,7 @@ *.iml *.iws *.pyc +*.pyo .idea/ .idea_modules/ build/*.jar diff --git a/bin/compute-classpath.cmd b/bin/compute-classpath.cmd deleted file mode 100644 index 088f993954d9e..0000000000000 --- a/bin/compute-classpath.cmd +++ /dev/null @@ -1,124 +0,0 @@ -@echo off - -rem -rem Licensed to the Apache Software Foundation (ASF) under one or more -rem contributor license agreements. See the NOTICE file distributed with -rem this work for additional information regarding copyright ownership. -rem The ASF licenses this file to You under the Apache License, Version 2.0 -rem (the "License"); you may not use this file except in compliance with -rem the License. You may obtain a copy of the License at -rem -rem http://www.apache.org/licenses/LICENSE-2.0 -rem -rem Unless required by applicable law or agreed to in writing, software -rem distributed under the License is distributed on an "AS IS" BASIS, -rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -rem See the License for the specific language governing permissions and -rem limitations under the License. -rem - -rem This script computes Spark's classpath and prints it to stdout; it's used by both the "run" -rem script and the ExecutorRunner in standalone cluster mode. - -rem If we're called from spark-class2.cmd, it already set enabledelayedexpansion and setting -rem it here would stop us from affecting its copy of the CLASSPATH variable; otherwise we -rem need to set it here because we use !datanucleus_jars! below. -if "%DONT_PRINT_CLASSPATH%"=="1" goto skip_delayed_expansion -setlocal enabledelayedexpansion -:skip_delayed_expansion - -set SCALA_VERSION=2.10 - -rem Figure out where the Spark framework is installed -set FWDIR=%~dp0..\ - -rem Load environment variables from conf\spark-env.cmd, if it exists -if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd" - -rem Build up classpath -set CLASSPATH=%SPARK_CLASSPATH%;%SPARK_SUBMIT_CLASSPATH% - -if not "x%SPARK_CONF_DIR%"=="x" ( - set CLASSPATH=%CLASSPATH%;%SPARK_CONF_DIR% -) else ( - set CLASSPATH=%CLASSPATH%;%FWDIR%conf -) - -if exist "%FWDIR%RELEASE" ( - for %%d in ("%FWDIR%lib\spark-assembly*.jar") do ( - set ASSEMBLY_JAR=%%d - ) -) else ( - for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do ( - set ASSEMBLY_JAR=%%d - ) -) - -set CLASSPATH=%CLASSPATH%;%ASSEMBLY_JAR% - -rem When Hive support is needed, Datanucleus jars must be included on the classpath. -rem Datanucleus jars do not work if only included in the uber jar as plugin.xml metadata is lost. -rem Both sbt and maven will populate "lib_managed/jars/" with the datanucleus jars when Spark is -rem built with Hive, so look for them there. -if exist "%FWDIR%RELEASE" ( - set datanucleus_dir=%FWDIR%lib -) else ( - set datanucleus_dir=%FWDIR%lib_managed\jars -) -set "datanucleus_jars=" -for %%d in ("%datanucleus_dir%\datanucleus-*.jar") do ( - set datanucleus_jars=!datanucleus_jars!;%%d -) -set CLASSPATH=%CLASSPATH%;%datanucleus_jars% - -set SPARK_CLASSES=%FWDIR%core\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%repl\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%mllib\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%bagel\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%graphx\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%streaming\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%tools\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%sql\catalyst\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%sql\core\target\scala-%SCALA_VERSION%\classes -set SPARK_CLASSES=%SPARK_CLASSES%;%FWDIR%sql\hive\target\scala-%SCALA_VERSION%\classes - -set SPARK_TEST_CLASSES=%FWDIR%core\target\scala-%SCALA_VERSION%\test-classes -set SPARK_TEST_CLASSES=%SPARK_TEST_CLASSES%;%FWDIR%repl\target\scala-%SCALA_VERSION%\test-classes -set SPARK_TEST_CLASSES=%SPARK_TEST_CLASSES%;%FWDIR%mllib\target\scala-%SCALA_VERSION%\test-classes -set SPARK_TEST_CLASSES=%SPARK_TEST_CLASSES%;%FWDIR%bagel\target\scala-%SCALA_VERSION%\test-classes -set SPARK_TEST_CLASSES=%SPARK_TEST_CLASSES%;%FWDIR%graphx\target\scala-%SCALA_VERSION%\test-classes -set SPARK_TEST_CLASSES=%SPARK_TEST_CLASSES%;%FWDIR%streaming\target\scala-%SCALA_VERSION%\test-classes -set SPARK_TEST_CLASSES=%SPARK_TEST_CLASSES%;%FWDIR%sql\catalyst\target\scala-%SCALA_VERSION%\test-classes -set SPARK_TEST_CLASSES=%SPARK_TEST_CLASSES%;%FWDIR%sql\core\target\scala-%SCALA_VERSION%\test-classes -set SPARK_TEST_CLASSES=%SPARK_TEST_CLASSES%;%FWDIR%sql\hive\target\scala-%SCALA_VERSION%\test-classes - -if "x%SPARK_TESTING%"=="x1" ( - rem Add test clases to path - note, add SPARK_CLASSES and SPARK_TEST_CLASSES before CLASSPATH - rem so that local compilation takes precedence over assembled jar - set CLASSPATH=%SPARK_CLASSES%;%SPARK_TEST_CLASSES%;%CLASSPATH% -) - -rem Add hadoop conf dir - else FileSystem.*, etc fail -rem Note, this assumes that there is either a HADOOP_CONF_DIR or YARN_CONF_DIR which hosts -rem the configurtion files. -if "x%HADOOP_CONF_DIR%"=="x" goto no_hadoop_conf_dir - set CLASSPATH=%CLASSPATH%;%HADOOP_CONF_DIR% -:no_hadoop_conf_dir - -if "x%YARN_CONF_DIR%"=="x" goto no_yarn_conf_dir - set CLASSPATH=%CLASSPATH%;%YARN_CONF_DIR% -:no_yarn_conf_dir - -rem To allow for distributions to append needed libraries to the classpath (e.g. when -rem using the "hadoop-provided" profile to build Spark), check SPARK_DIST_CLASSPATH and -rem append it to tbe final classpath. -if not "x%$SPARK_DIST_CLASSPATH%"=="x" ( - set CLASSPATH=%CLASSPATH%;%SPARK_DIST_CLASSPATH% -) - -rem A bit of a hack to allow calling this script within run2.cmd without seeing output -if "%DONT_PRINT_CLASSPATH%"=="1" goto exit - -echo %CLASSPATH% - -:exit diff --git a/bin/compute-classpath.sh b/bin/compute-classpath.sh deleted file mode 100755 index f4f6b7b909490..0000000000000 --- a/bin/compute-classpath.sh +++ /dev/null @@ -1,161 +0,0 @@ -#!/usr/bin/env bash - -# -# Licensed to the Apache Software Foundation (ASF) under one or more -# contributor license agreements. See the NOTICE file distributed with -# this work for additional information regarding copyright ownership. -# The ASF licenses this file to You under the Apache License, Version 2.0 -# (the "License"); you may not use this file except in compliance with -# the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -# This script computes Spark's classpath and prints it to stdout; it's used by both the "run" -# script and the ExecutorRunner in standalone cluster mode. - -# Figure out where Spark is installed -FWDIR="$(cd "`dirname "$0"`"/..; pwd)" - -. "$FWDIR"/bin/load-spark-env.sh - -if [ -n "$SPARK_CLASSPATH" ]; then - CLASSPATH="$SPARK_CLASSPATH:$SPARK_SUBMIT_CLASSPATH" -else - CLASSPATH="$SPARK_SUBMIT_CLASSPATH" -fi - -# Build up classpath -if [ -n "$SPARK_CONF_DIR" ]; then - CLASSPATH="$CLASSPATH:$SPARK_CONF_DIR" -else - CLASSPATH="$CLASSPATH:$FWDIR/conf" -fi - -ASSEMBLY_DIR="$FWDIR/assembly/target/scala-$SPARK_SCALA_VERSION" - -if [ -n "$JAVA_HOME" ]; then - JAR_CMD="$JAVA_HOME/bin/jar" -else - JAR_CMD="jar" -fi - -# A developer option to prepend more recently compiled Spark classes -if [ -n "$SPARK_PREPEND_CLASSES" ]; then - echo "NOTE: SPARK_PREPEND_CLASSES is set, placing locally compiled Spark"\ - "classes ahead of assembly." >&2 - # Spark classes - CLASSPATH="$CLASSPATH:$FWDIR/core/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/repl/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/mllib/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/bagel/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/graphx/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/streaming/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/tools/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/sql/catalyst/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/sql/core/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/sql/hive/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/sql/hive-thriftserver/target/scala-$SPARK_SCALA_VERSION/classes" - CLASSPATH="$CLASSPATH:$FWDIR/yarn/stable/target/scala-$SPARK_SCALA_VERSION/classes" - # Jars for shaded deps in their original form (copied here during build) - CLASSPATH="$CLASSPATH:$FWDIR/core/target/jars/*" -fi - -# Use spark-assembly jar from either RELEASE or assembly directory -if [ -f "$FWDIR/RELEASE" ]; then - assembly_folder="$FWDIR"/lib -else - assembly_folder="$ASSEMBLY_DIR" -fi - -num_jars=0 - -for f in "${assembly_folder}"/spark-assembly*hadoop*.jar; do - if [[ ! -e "$f" ]]; then - echo "Failed to find Spark assembly in $assembly_folder" 1>&2 - echo "You need to build Spark before running this program." 1>&2 - exit 1 - fi - ASSEMBLY_JAR="$f" - num_jars=$((num_jars+1)) -done - -if [ "$num_jars" -gt "1" ]; then - echo "Found multiple Spark assembly jars in $assembly_folder:" 1>&2 - ls "${assembly_folder}"/spark-assembly*hadoop*.jar 1>&2 - echo "Please remove all but one jar." 1>&2 - exit 1 -fi - -# Verify that versions of java used to build the jars and run Spark are compatible -jar_error_check=$("$JAR_CMD" -tf "$ASSEMBLY_JAR" nonexistent/class/path 2>&1) -if [[ "$jar_error_check" =~ "invalid CEN header" ]]; then - echo "Loading Spark jar with '$JAR_CMD' failed. " 1>&2 - echo "This is likely because Spark was compiled with Java 7 and run " 1>&2 - echo "with Java 6. (see SPARK-1703). Please use Java 7 to run Spark " 1>&2 - echo "or build Spark with Java 6." 1>&2 - exit 1 -fi - -CLASSPATH="$CLASSPATH:$ASSEMBLY_JAR" - -# When Hive support is needed, Datanucleus jars must be included on the classpath. -# Datanucleus jars do not work if only included in the uber jar as plugin.xml metadata is lost. -# Both sbt and maven will populate "lib_managed/jars/" with the datanucleus jars when Spark is -# built with Hive, so first check if the datanucleus jars exist, and then ensure the current Spark -# assembly is built for Hive, before actually populating the CLASSPATH with the jars. -# Note that this check order is faster (by up to half a second) in the case where Hive is not used. -if [ -f "$FWDIR/RELEASE" ]; then - datanucleus_dir="$FWDIR"/lib -else - datanucleus_dir="$FWDIR"/lib_managed/jars -fi - -datanucleus_jars="$(find "$datanucleus_dir" 2>/dev/null | grep "datanucleus-.*\\.jar$")" -datanucleus_jars="$(echo "$datanucleus_jars" | tr "\n" : | sed s/:$//g)" - -if [ -n "$datanucleus_jars" ]; then - hive_files=$("$JAR_CMD" -tf "$ASSEMBLY_JAR" org/apache/hadoop/hive/ql/exec 2>/dev/null) - if [ -n "$hive_files" ]; then - echo "Spark assembly has been built with Hive, including Datanucleus jars on classpath" 1>&2 - CLASSPATH="$CLASSPATH:$datanucleus_jars" - fi -fi - -# Add test classes if we're running from SBT or Maven with SPARK_TESTING set to 1 -if [[ $SPARK_TESTING == 1 ]]; then - CLASSPATH="$CLASSPATH:$FWDIR/core/target/scala-$SPARK_SCALA_VERSION/test-classes" - CLASSPATH="$CLASSPATH:$FWDIR/repl/target/scala-$SPARK_SCALA_VERSION/test-classes" - CLASSPATH="$CLASSPATH:$FWDIR/mllib/target/scala-$SPARK_SCALA_VERSION/test-classes" - CLASSPATH="$CLASSPATH:$FWDIR/bagel/target/scala-$SPARK_SCALA_VERSION/test-classes" - CLASSPATH="$CLASSPATH:$FWDIR/graphx/target/scala-$SPARK_SCALA_VERSION/test-classes" - CLASSPATH="$CLASSPATH:$FWDIR/streaming/target/scala-$SPARK_SCALA_VERSION/test-classes" - CLASSPATH="$CLASSPATH:$FWDIR/sql/catalyst/target/scala-$SPARK_SCALA_VERSION/test-classes" - CLASSPATH="$CLASSPATH:$FWDIR/sql/core/target/scala-$SPARK_SCALA_VERSION/test-classes" - CLASSPATH="$CLASSPATH:$FWDIR/sql/hive/target/scala-$SPARK_SCALA_VERSION/test-classes" -fi - -# Add hadoop conf dir if given -- otherwise FileSystem.*, etc fail ! -# Note, this assumes that there is either a HADOOP_CONF_DIR or YARN_CONF_DIR which hosts -# the configurtion files. -if [ -n "$HADOOP_CONF_DIR" ]; then - CLASSPATH="$CLASSPATH:$HADOOP_CONF_DIR" -fi -if [ -n "$YARN_CONF_DIR" ]; then - CLASSPATH="$CLASSPATH:$YARN_CONF_DIR" -fi - -# To allow for distributions to append needed libraries to the classpath (e.g. when -# using the "hadoop-provided" profile to build Spark), check SPARK_DIST_CLASSPATH and -# append it to tbe final classpath. -if [ -n "$SPARK_DIST_CLASSPATH" ]; then - CLASSPATH="$CLASSPATH:$SPARK_DIST_CLASSPATH" -fi - -echo "$CLASSPATH" diff --git a/bin/load-spark-env.sh b/bin/load-spark-env.sh index 356b3d49b2ffe..2d7070c25d328 100644 --- a/bin/load-spark-env.sh +++ b/bin/load-spark-env.sh @@ -41,9 +41,9 @@ fi if [ -z "$SPARK_SCALA_VERSION" ]; then - ASSEMBLY_DIR2="$FWDIR/assembly/target/scala-2.11" - ASSEMBLY_DIR1="$FWDIR/assembly/target/scala-2.10" - + ASSEMBLY_DIR2="$SPARK_HOME/assembly/target/scala-2.11" + ASSEMBLY_DIR1="$SPARK_HOME/assembly/target/scala-2.10" + if [[ -d "$ASSEMBLY_DIR2" && -d "$ASSEMBLY_DIR1" ]]; then echo -e "Presence of build for both scala versions(SCALA 2.10 and SCALA 2.11) detected." 1>&2 echo -e 'Either clean one of them or, export SPARK_SCALA_VERSION=2.11 in spark-env.sh.' 1>&2 @@ -54,5 +54,5 @@ if [ -z "$SPARK_SCALA_VERSION" ]; then export SPARK_SCALA_VERSION="2.11" else export SPARK_SCALA_VERSION="2.10" - fi + fi fi diff --git a/bin/pyspark b/bin/pyspark index 0b4f695dd06dd..e7f6a1a072c2a 100755 --- a/bin/pyspark +++ b/bin/pyspark @@ -18,36 +18,24 @@ # # 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" - -source "$FWDIR/bin/utils.sh" - -source "$FWDIR"/bin/load-spark-env.sh +source "$SPARK_HOME"/bin/load-spark-env.sh function usage() { + if [ -n "$1" ]; then + echo $1 + fi echo "Usage: ./bin/pyspark [options]" 1>&2 - "$FWDIR"/bin/spark-submit --help 2>&1 | grep -v Usage 1>&2 - exit 0 + "$SPARK_HOME"/bin/spark-submit --help 2>&1 | grep -v Usage 1>&2 + exit $2 } +export -f usage if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then usage fi -# Exit if the user hasn't compiled Spark -if [ ! -f "$FWDIR/RELEASE" ]; then - # Exit if the user hasn't compiled Spark - ls "$FWDIR"/assembly/target/scala-$SPARK_SCALA_VERSION/spark-assembly*hadoop*.jar >& /dev/null - if [[ $? != 0 ]]; then - echo "Failed to find Spark assembly in $FWDIR/assembly/target" 1>&2 - echo "You need to build Spark before running this program" 1>&2 - exit 1 - fi -fi - # In Spark <= 1.1, setting IPYTHON=1 would cause the driver to be launched using the `ipython` # executable, while the worker would still be launched using PYSPARK_PYTHON. # @@ -95,26 +83,13 @@ export PYTHONPATH="$SPARK_HOME/python/lib/py4j-0.8.2.1-src.zip:$PYTHONPATH" # Load the PySpark shell.py script when ./pyspark is used interactively: export OLD_PYTHONSTARTUP="$PYTHONSTARTUP" -export PYTHONSTARTUP="$FWDIR/python/pyspark/shell.py" - -# Build up arguments list manually to preserve quotes and backslashes. -# We export Spark submit arguments as an environment variable because shell.py must run as a -# PYTHONSTARTUP script, which does not take in arguments. This is required for IPython notebooks. -SUBMIT_USAGE_FUNCTION=usage -gatherSparkSubmitOpts "$@" -PYSPARK_SUBMIT_ARGS="" -whitespace="[[:space:]]" -for i in "${SUBMISSION_OPTS[@]}"; do - if [[ $i =~ \" ]]; then i=$(echo $i | sed 's/\"/\\\"/g'); fi - if [[ $i =~ $whitespace ]]; then i=\"$i\"; fi - PYSPARK_SUBMIT_ARGS="$PYSPARK_SUBMIT_ARGS $i" -done -export PYSPARK_SUBMIT_ARGS +export PYTHONSTARTUP="$SPARK_HOME/python/pyspark/shell.py" # For pyspark tests if [[ -n "$SPARK_TESTING" ]]; then unset YARN_CONF_DIR unset HADOOP_CONF_DIR + export PYSPARK_SUBMIT_ARGS=pyspark-shell if [[ -n "$PYSPARK_DOC_TEST" ]]; then exec "$PYSPARK_DRIVER_PYTHON" -m doctest $1 else @@ -123,14 +98,6 @@ if [[ -n "$SPARK_TESTING" ]]; then exit fi -# If a python file is provided, directly run spark-submit. -if [[ "$1" =~ \.py$ ]]; then - echo -e "\nWARNING: Running python applications through ./bin/pyspark is deprecated as of Spark 1.0." 1>&2 - echo -e "Use ./bin/spark-submit \n" 1>&2 - primary="$1" - shift - gatherSparkSubmitOpts "$@" - exec "$FWDIR"/bin/spark-submit "${SUBMISSION_OPTS[@]}" "$primary" "${APPLICATION_OPTS[@]}" -else - exec "$PYSPARK_DRIVER_PYTHON" $PYSPARK_DRIVER_PYTHON_OPTS -fi +export PYSPARK_DRIVER_PYTHON +export PYSPARK_DRIVER_PYTHON_OPTS +exec "$SPARK_HOME"/bin/spark-submit pyspark-shell-main "$@" diff --git a/bin/pyspark2.cmd b/bin/pyspark2.cmd index a542ec80b49d6..4f5eb5e20614d 100644 --- a/bin/pyspark2.cmd +++ b/bin/pyspark2.cmd @@ -17,59 +17,22 @@ rem See the License for the specific language governing permissions and rem limitations under the License. rem -set SCALA_VERSION=2.10 - rem Figure out where the Spark framework is installed -set FWDIR=%~dp0..\ - -rem Export this as SPARK_HOME -set SPARK_HOME=%FWDIR% - -rem Test whether the user has built Spark -if exist "%FWDIR%RELEASE" goto skip_build_test -set FOUND_JAR=0 -for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do ( - set FOUND_JAR=1 -) -if [%FOUND_JAR%] == [0] ( - echo Failed to find Spark assembly JAR. - echo You need to build Spark before running this program. - goto exit -) -:skip_build_test +set SPARK_HOME=%~dp0.. rem Load environment variables from conf\spark-env.cmd, if it exists -if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd" +if exist "%SPARK_HOME%\conf\spark-env.cmd" call "%SPARK_HOME%\conf\spark-env.cmd" rem Figure out which Python to use. -if [%PYSPARK_PYTHON%] == [] set PYSPARK_PYTHON=python +if "x%PYSPARK_DRIVER_PYTHON%"=="x" ( + set PYSPARK_DRIVER_PYTHON=python + if not [%PYSPARK_PYTHON%] == [] set PYSPARK_DRIVER_PYTHON=%PYSPARK_PYTHON% +) -set PYTHONPATH=%FWDIR%python;%PYTHONPATH% -set PYTHONPATH=%FWDIR%python\lib\py4j-0.8.2.1-src.zip;%PYTHONPATH% +set PYTHONPATH=%SPARK_HOME%\python;%PYTHONPATH% +set PYTHONPATH=%SPARK_HOME%\python\lib\py4j-0.8.2.1-src.zip;%PYTHONPATH% set OLD_PYTHONSTARTUP=%PYTHONSTARTUP% -set PYTHONSTARTUP=%FWDIR%python\pyspark\shell.py -set PYSPARK_SUBMIT_ARGS=%* - -echo Running %PYSPARK_PYTHON% with PYTHONPATH=%PYTHONPATH% - -rem Check whether the argument is a file -for /f %%i in ('echo %1^| findstr /R "\.py"') do ( - set PYTHON_FILE=%%i -) - -if [%PYTHON_FILE%] == [] ( - if [%IPYTHON%] == [1] ( - ipython %IPYTHON_OPTS% - ) else ( - %PYSPARK_PYTHON% - ) -) else ( - echo. - echo WARNING: Running python applications through ./bin/pyspark.cmd is deprecated as of Spark 1.0. - echo Use ./bin/spark-submit ^ - echo. - "%FWDIR%\bin\spark-submit.cmd" %PYSPARK_SUBMIT_ARGS% -) +set PYTHONSTARTUP=%SPARK_HOME%\python\pyspark\shell.py -:exit +call %SPARK_HOME%\bin\spark-submit2.cmd pyspark-shell-main %* diff --git a/bin/run-example b/bin/run-example index a106411392e06..798e2caeb88ce 100755 --- a/bin/run-example +++ b/bin/run-example @@ -67,7 +67,7 @@ if [[ ! $EXAMPLE_CLASS == org.apache.spark.examples* ]]; then EXAMPLE_CLASS="org.apache.spark.examples.$EXAMPLE_CLASS" fi -"$FWDIR"/bin/spark-submit \ +exec "$FWDIR"/bin/spark-submit \ --master $EXAMPLE_MASTER \ --class $EXAMPLE_CLASS \ "$SPARK_EXAMPLES_JAR" \ diff --git a/bin/spark-class b/bin/spark-class index 2f0441bb3c1c2..e29b234afaf96 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 "$1" ]; then echo "Usage: spark-class []" 1>&2 exit 1 fi -if [ -n "$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 - diff --git a/bin/spark-class2.cmd b/bin/spark-class2.cmd index da46543647efd..37d22215a0e7e 100644 --- a/bin/spark-class2.cmd +++ b/bin/spark-class2.cmd @@ -17,135 +17,54 @@ rem See the License for the specific language governing permissions and rem limitations under the License. rem -rem Any changes to this file must be reflected in SparkSubmitDriverBootstrapper.scala! - -setlocal enabledelayedexpansion - -set SCALA_VERSION=2.10 - rem Figure out where the Spark framework is installed -set FWDIR=%~dp0..\ - -rem Export this as SPARK_HOME -set SPARK_HOME=%FWDIR% +set SPARK_HOME=%~dp0.. rem Load environment variables from conf\spark-env.cmd, if it exists -if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd" +if exist "%SPARK_HOME%\conf\spark-env.cmd" call "%SPARK_HOME%\conf\spark-env.cmd" rem Test that an argument was given -if not "x%1"=="x" goto arg_given +if "x%1"=="x" ( echo Usage: spark-class ^ [^] - goto exit -:arg_given - -if not "x%SPARK_MEM%"=="x" ( - echo Warning: SPARK_MEM is deprecated, please use a more specific config option - echo e.g., spark.executor.memory or spark.driver.memory. + exit /b 1 ) -rem Use SPARK_MEM or 512m as the default memory, to be overridden by specific options -set OUR_JAVA_MEM=%SPARK_MEM% -if "x%OUR_JAVA_MEM%"=="x" set OUR_JAVA_MEM=512m - -set SPARK_DAEMON_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS% -Dspark.akka.logLifecycleEvents=true - -rem Add java opts and memory settings for master, worker, history server, executors, and repl. -rem Master, Worker and HistoryServer use SPARK_DAEMON_JAVA_OPTS (and specific opts) + SPARK_DAEMON_MEMORY. -if "%1"=="org.apache.spark.deploy.master.Master" ( - set OUR_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS% %SPARK_MASTER_OPTS% - if not "x%SPARK_DAEMON_MEMORY%"=="x" set OUR_JAVA_MEM=%SPARK_DAEMON_MEMORY% -) else if "%1"=="org.apache.spark.deploy.worker.Worker" ( - set OUR_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS% %SPARK_WORKER_OPTS% - if not "x%SPARK_DAEMON_MEMORY%"=="x" set OUR_JAVA_MEM=%SPARK_DAEMON_MEMORY% -) else if "%1"=="org.apache.spark.deploy.history.HistoryServer" ( - set OUR_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS% %SPARK_HISTORY_OPTS% - if not "x%SPARK_DAEMON_MEMORY%"=="x" set OUR_JAVA_MEM=%SPARK_DAEMON_MEMORY% - -rem Executors use SPARK_JAVA_OPTS + SPARK_EXECUTOR_MEMORY. -) else if "%1"=="org.apache.spark.executor.CoarseGrainedExecutorBackend" ( - set OUR_JAVA_OPTS=%SPARK_JAVA_OPTS% %SPARK_EXECUTOR_OPTS% - if not "x%SPARK_EXECUTOR_MEMORY%"=="x" set OUR_JAVA_MEM=%SPARK_EXECUTOR_MEMORY% -) else if "%1"=="org.apache.spark.executor.MesosExecutorBackend" ( - set OUR_JAVA_OPTS=%SPARK_JAVA_OPTS% %SPARK_EXECUTOR_OPTS% - if not "x%SPARK_EXECUTOR_MEMORY%"=="x" set OUR_JAVA_MEM=%SPARK_EXECUTOR_MEMORY% +set LAUNCHER_CP=0 +if exist %SPARK_HOME%\RELEASE goto find_release_launcher -rem Spark submit uses SPARK_JAVA_OPTS + SPARK_SUBMIT_OPTS + -rem SPARK_DRIVER_MEMORY + SPARK_SUBMIT_DRIVER_MEMORY. -rem The repl also uses SPARK_REPL_OPTS. -) else if "%1"=="org.apache.spark.deploy.SparkSubmit" ( - set OUR_JAVA_OPTS=%SPARK_JAVA_OPTS% %SPARK_SUBMIT_OPTS% %SPARK_REPL_OPTS% - if not "x%SPARK_SUBMIT_LIBRARY_PATH%"=="x" ( - set OUR_JAVA_OPTS=!OUR_JAVA_OPTS! -Djava.library.path=%SPARK_SUBMIT_LIBRARY_PATH% - ) else if not "x%SPARK_LIBRARY_PATH%"=="x" ( - set OUR_JAVA_OPTS=!OUR_JAVA_OPTS! -Djava.library.path=%SPARK_LIBRARY_PATH% - ) - if not "x%SPARK_DRIVER_MEMORY%"=="x" set OUR_JAVA_MEM=%SPARK_DRIVER_MEMORY% - if not "x%SPARK_SUBMIT_DRIVER_MEMORY%"=="x" set OUR_JAVA_MEM=%SPARK_SUBMIT_DRIVER_MEMORY% -) else ( - set OUR_JAVA_OPTS=%SPARK_JAVA_OPTS% - if not "x%SPARK_DRIVER_MEMORY%"=="x" set OUR_JAVA_MEM=%SPARK_DRIVER_MEMORY% +rem Look for the Spark launcher in both Scala build directories. The launcher doesn't use Scala so +rem it doesn't really matter which one is picked up. Add the compiled classes directly to the +rem classpath instead of looking for a jar file, since it's very common for people using sbt to use +rem the "assembly" target instead of "package". +set LAUNCHER_CLASSES=%SPARK_HOME%\launcher\target\scala-2.10\classes +if exist %LAUNCHER_CLASSES% ( + set LAUNCHER_CP=%LAUNCHER_CLASSES% ) - -rem Set JAVA_OPTS to be able to load native libraries and to set heap size -for /f "tokens=3" %%i in ('java -version 2^>^&1 ^| find "version"') do set jversion=%%i -for /f "tokens=1 delims=_" %%i in ("%jversion:~1,-1%") do set jversion=%%i -if "%jversion%" geq "1.8.0" ( - set JAVA_OPTS=%OUR_JAVA_OPTS% -Xms%OUR_JAVA_MEM% -Xmx%OUR_JAVA_MEM% -) else ( - set JAVA_OPTS=-XX:MaxPermSize=128m %OUR_JAVA_OPTS% -Xms%OUR_JAVA_MEM% -Xmx%OUR_JAVA_MEM% +set LAUNCHER_CLASSES=%SPARK_HOME%\launcher\target\scala-2.11\classes +if exist %LAUNCHER_CLASSES% ( + set LAUNCHER_CP=%LAUNCHER_CLASSES% ) -rem Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in CommandUtils.scala! +goto check_launcher -rem Test whether the user has built Spark -if exist "%FWDIR%RELEASE" goto skip_build_test -set FOUND_JAR=0 -for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do ( - set FOUND_JAR=1 -) -if "%FOUND_JAR%"=="0" ( - echo Failed to find Spark assembly JAR. - echo You need to build Spark before running this program. - goto exit +:find_release_launcher +for %%d in (%SPARK_HOME%\lib\spark-launcher*.jar) do ( + set LAUNCHER_CP=%%d ) -:skip_build_test -set TOOLS_DIR=%FWDIR%tools -set SPARK_TOOLS_JAR= -for %%d in ("%TOOLS_DIR%\target\scala-%SCALA_VERSION%\spark-tools*assembly*.jar") do ( - set SPARK_TOOLS_JAR=%%d +:check_launcher +if "%LAUNCHER_CP%"=="0" ( + echo Failed to find Spark launcher JAR. + echo You need to build Spark before running this program. + exit /b 1 ) -rem Compute classpath using external script -set DONT_PRINT_CLASSPATH=1 -call "%FWDIR%bin\compute-classpath.cmd" -set DONT_PRINT_CLASSPATH=0 -set CLASSPATH=%CLASSPATH%;%SPARK_TOOLS_JAR% - rem Figure out where java is. set RUNNER=java if not "x%JAVA_HOME%"=="x" set RUNNER=%JAVA_HOME%\bin\java -rem In Spark submit client mode, the driver is launched in the same JVM as Spark submit itself. -rem Here we must parse the properties file for relevant "spark.driver.*" configs before launching -rem the driver JVM itself. Instead of handling this complexity here, we launch a separate JVM -rem to prepare the launch environment of this driver JVM. - -rem In this case, leave out the main class (org.apache.spark.deploy.SparkSubmit) and use our own. -rem Leaving out the first argument is surprisingly difficult to do in Windows. Note that this must -rem be done here because the Windows "shift" command does not work in a conditional block. -set BOOTSTRAP_ARGS= -shift -:start_parse -if "%~1" == "" goto end_parse -set BOOTSTRAP_ARGS=%BOOTSTRAP_ARGS% %~1 -shift -goto start_parse -:end_parse - -if not [%SPARK_SUBMIT_BOOTSTRAP_DRIVER%] == [] ( - set SPARK_CLASS=1 - "%RUNNER%" org.apache.spark.deploy.SparkSubmitDriverBootstrapper %BOOTSTRAP_ARGS% -) else ( - "%RUNNER%" -cp "%CLASSPATH%" %JAVA_OPTS% %* +rem The launcher library prints the command to be executed in a single line suitable for being +rem executed by the batch interpreter. So read all the output of the launcher into a variable. +for /f "tokens=*" %%i in ('cmd /C ""%RUNNER%" -cp %LAUNCHER_CP% org.apache.spark.launcher.Main %*"') do ( + set SPARK_CMD=%%i ) -:exit +%SPARK_CMD% diff --git a/bin/spark-shell b/bin/spark-shell index cca5aa0676123..b3761b5e1375b 100755 --- a/bin/spark-shell +++ b/bin/spark-shell @@ -28,25 +28,24 @@ esac # Enter posix mode for bash set -o posix -## Global script variables -FWDIR="$(cd "`dirname "$0"`"/..; pwd)" +export FWDIR="$(cd "`dirname "$0"`"/..; pwd)" -function usage() { +usage() { + if [ -n "$1" ]; then + echo "$1" + fi echo "Usage: ./bin/spark-shell [options]" "$FWDIR"/bin/spark-submit --help 2>&1 | grep -v Usage 1>&2 - exit 0 + exit "$2" } +export -f usage if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then - usage + usage "" 0 fi -source "$FWDIR"/bin/utils.sh -SUBMIT_USAGE_FUNCTION=usage -gatherSparkSubmitOpts "$@" - # SPARK-4161: scala does not assume use of the java classpath, -# so we need to add the "-Dscala.usejavacp=true" flag mnually. We +# so we need to add the "-Dscala.usejavacp=true" flag manually. We # do this specifically for the Spark shell because the scala REPL # has its own class loader, and any additional classpath specified # through spark.driver.extraClassPath is not automatically propagated. @@ -61,11 +60,11 @@ function main() { # (see https://github.com/sbt/sbt/issues/562). stty -icanon min 1 -echo > /dev/null 2>&1 export SPARK_SUBMIT_OPTS="$SPARK_SUBMIT_OPTS -Djline.terminal=unix" - "$FWDIR"/bin/spark-submit --class org.apache.spark.repl.Main "${SUBMISSION_OPTS[@]}" spark-shell "${APPLICATION_OPTS[@]}" + "$FWDIR"/bin/spark-submit --class org.apache.spark.repl.Main "$@" stty icanon echo > /dev/null 2>&1 else export SPARK_SUBMIT_OPTS - "$FWDIR"/bin/spark-submit --class org.apache.spark.repl.Main "${SUBMISSION_OPTS[@]}" spark-shell "${APPLICATION_OPTS[@]}" + "$FWDIR"/bin/spark-submit --class org.apache.spark.repl.Main "$@" fi } diff --git a/bin/spark-shell2.cmd b/bin/spark-shell2.cmd index 1d1a40da315eb..02f51fe59a911 100644 --- a/bin/spark-shell2.cmd +++ b/bin/spark-shell2.cmd @@ -25,17 +25,28 @@ if %ERRORLEVEL% equ 0 ( exit /b 0 ) -call %SPARK_HOME%\bin\windows-utils.cmd %* -if %ERRORLEVEL% equ 1 ( +rem SPARK-4161: scala does not assume use of the java classpath, +rem so we need to add the "-Dscala.usejavacp=true" flag manually. We +rem do this specifically for the Spark shell because the scala REPL +rem has its own class loader, and any additional classpath specified +rem through spark.driver.extraClassPath is not automatically propagated. +if "x%SPARK_SUBMIT_OPTS%"=="x" ( + set SPARK_SUBMIT_OPTS=-Dscala.usejavacp=true + goto run_shell +) +set SPARK_SUBMIT_OPTS="%SPARK_SUBMIT_OPTS% -Dscala.usejavacp=true" + +:run_shell +call %SPARK_HOME%\bin\spark-submit2.cmd --class org.apache.spark.repl.Main %* +set SPARK_ERROR_LEVEL=%ERRORLEVEL% +if not "x%SPARK_LAUNCHER_USAGE_ERROR%"=="x" ( call :usage exit /b 1 ) - -cmd /V /E /C %SPARK_HOME%\bin\spark-submit.cmd --class org.apache.spark.repl.Main %SUBMISSION_OPTS% spark-shell %APPLICATION_OPTS% - -exit /b 0 +exit /b %SPARK_ERROR_LEVEL% :usage +echo %SPARK_LAUNCHER_USAGE_ERROR% echo "Usage: .\bin\spark-shell.cmd [options]" >&2 -%SPARK_HOME%\bin\spark-submit --help 2>&1 | findstr /V "Usage" 1>&2 -exit /b 0 +call %SPARK_HOME%\bin\spark-submit2.cmd --help 2>&1 | findstr /V "Usage" 1>&2 +goto :eof diff --git a/bin/spark-sql b/bin/spark-sql index 3b6cc420fea81..ca1729f4cfcb4 100755 --- a/bin/spark-sql +++ b/bin/spark-sql @@ -25,12 +25,15 @@ set -o posix # NOTE: This exact class name is matched downstream by SparkSubmit. # Any changes need to be reflected there. -CLASS="org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver" +export CLASS="org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver" # Figure out where Spark is installed -FWDIR="$(cd "`dirname "$0"`"/..; pwd)" +export FWDIR="$(cd "`dirname "$0"`"/..; pwd)" function usage { + if [ -n "$1" ]; then + echo "$1" + fi echo "Usage: ./bin/spark-sql [options] [cli option]" pattern="usage" pattern+="\|Spark assembly has been built with Hive" @@ -42,16 +45,13 @@ function usage { "$FWDIR"/bin/spark-submit --help 2>&1 | grep -v Usage 1>&2 echo echo "CLI options:" - "$FWDIR"/bin/spark-class $CLASS --help 2>&1 | grep -v "$pattern" 1>&2 + "$FWDIR"/bin/spark-class "$CLASS" --help 2>&1 | grep -v "$pattern" 1>&2 + exit "$2" } +export -f usage if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then - usage - exit 0 + usage "" 0 fi -source "$FWDIR"/bin/utils.sh -SUBMIT_USAGE_FUNCTION=usage -gatherSparkSubmitOpts "$@" - -exec "$FWDIR"/bin/spark-submit --class $CLASS "${SUBMISSION_OPTS[@]}" spark-internal "${APPLICATION_OPTS[@]}" +exec "$FWDIR"/bin/spark-submit --class "$CLASS" "$@" diff --git a/bin/spark-submit b/bin/spark-submit index 3e5cbdbb24394..bcff78edd51ca 100755 --- a/bin/spark-submit +++ b/bin/spark-submit @@ -17,58 +17,18 @@ # limitations under the License. # -# NOTE: Any changes in this file must be reflected in SparkSubmitDriverBootstrapper.scala! - -export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)" -ORIG_ARGS=("$@") - -# Set COLUMNS for progress bar -export COLUMNS=`tput cols` - -while (($#)); do - if [ "$1" = "--deploy-mode" ]; then - SPARK_SUBMIT_DEPLOY_MODE=$2 - elif [ "$1" = "--properties-file" ]; then - SPARK_SUBMIT_PROPERTIES_FILE=$2 - elif [ "$1" = "--driver-memory" ]; then - export SPARK_SUBMIT_DRIVER_MEMORY=$2 - elif [ "$1" = "--driver-library-path" ]; then - export SPARK_SUBMIT_LIBRARY_PATH=$2 - elif [ "$1" = "--driver-class-path" ]; then - export SPARK_SUBMIT_CLASSPATH=$2 - elif [ "$1" = "--driver-java-options" ]; then - export SPARK_SUBMIT_OPTS=$2 - elif [ "$1" = "--master" ]; then - export MASTER=$2 - fi - shift -done - -if [ -z "$SPARK_CONF_DIR" ]; then - export SPARK_CONF_DIR="$SPARK_HOME/conf" -fi -DEFAULT_PROPERTIES_FILE="$SPARK_CONF_DIR/spark-defaults.conf" -if [ "$MASTER" == "yarn-cluster" ]; then - SPARK_SUBMIT_DEPLOY_MODE=cluster +SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)" + +# Only define a usage function if an upstream script hasn't done so. +if ! type -t usage >/dev/null 2>&1; then + usage() { + if [ -n "$1" ]; then + echo "$1" + fi + "$SPARK_HOME"/bin/spark-class org.apache.spark.deploy.SparkSubmit --help + exit "$2" + } + export -f usage fi -export SPARK_SUBMIT_DEPLOY_MODE=${SPARK_SUBMIT_DEPLOY_MODE:-"client"} -export SPARK_SUBMIT_PROPERTIES_FILE=${SPARK_SUBMIT_PROPERTIES_FILE:-"$DEFAULT_PROPERTIES_FILE"} - -# For client mode, the driver will be launched in the same JVM that launches -# SparkSubmit, so we may need to read the properties file for any extra class -# paths, library paths, java options and memory early on. Otherwise, it will -# be too late by the time the driver JVM has started. - -if [[ "$SPARK_SUBMIT_DEPLOY_MODE" == "client" && -f "$SPARK_SUBMIT_PROPERTIES_FILE" ]]; then - # Parse the properties file only if the special configs exist - contains_special_configs=$( - grep -e "spark.driver.extra*\|spark.driver.memory" "$SPARK_SUBMIT_PROPERTIES_FILE" | \ - grep -v "^[[:space:]]*#" - ) - if [ -n "$contains_special_configs" ]; then - export SPARK_SUBMIT_BOOTSTRAP_DRIVER=1 - fi -fi - -exec "$SPARK_HOME"/bin/spark-class org.apache.spark.deploy.SparkSubmit "${ORIG_ARGS[@]}" +exec "$SPARK_HOME"/bin/spark-class org.apache.spark.deploy.SparkSubmit "$@" diff --git a/bin/spark-submit2.cmd b/bin/spark-submit2.cmd index 446cbc74b74f9..08ddb185742d2 100644 --- a/bin/spark-submit2.cmd +++ b/bin/spark-submit2.cmd @@ -17,62 +17,19 @@ rem See the License for the specific language governing permissions and rem limitations under the License. rem -rem NOTE: Any changes in this file must be reflected in SparkSubmitDriverBootstrapper.scala! - -set SPARK_HOME=%~dp0.. -set ORIG_ARGS=%* - -rem Reset the values of all variables used -set SPARK_SUBMIT_DEPLOY_MODE=client - -if [%SPARK_CONF_DIR%] == [] ( - set SPARK_CONF_DIR=%SPARK_HOME%\conf -) -set SPARK_SUBMIT_PROPERTIES_FILE=%SPARK_CONF_DIR%\spark-defaults.conf -set SPARK_SUBMIT_DRIVER_MEMORY= -set SPARK_SUBMIT_LIBRARY_PATH= -set SPARK_SUBMIT_CLASSPATH= -set SPARK_SUBMIT_OPTS= -set SPARK_SUBMIT_BOOTSTRAP_DRIVER= - -:loop -if [%1] == [] goto continue - if [%1] == [--deploy-mode] ( - set SPARK_SUBMIT_DEPLOY_MODE=%2 - ) else if [%1] == [--properties-file] ( - set SPARK_SUBMIT_PROPERTIES_FILE=%2 - ) else if [%1] == [--driver-memory] ( - set SPARK_SUBMIT_DRIVER_MEMORY=%2 - ) else if [%1] == [--driver-library-path] ( - set SPARK_SUBMIT_LIBRARY_PATH=%2 - ) else if [%1] == [--driver-class-path] ( - set SPARK_SUBMIT_CLASSPATH=%2 - ) else if [%1] == [--driver-java-options] ( - set SPARK_SUBMIT_OPTS=%2 - ) else if [%1] == [--master] ( - set MASTER=%2 - ) - shift -goto loop -:continue - -if [%MASTER%] == [yarn-cluster] ( - set SPARK_SUBMIT_DEPLOY_MODE=cluster -) - -rem For client mode, the driver will be launched in the same JVM that launches -rem SparkSubmit, so we may need to read the properties file for any extra class -rem paths, library paths, java options and memory early on. Otherwise, it will -rem be too late by the time the driver JVM has started. - -if [%SPARK_SUBMIT_DEPLOY_MODE%] == [client] ( - if exist %SPARK_SUBMIT_PROPERTIES_FILE% ( - rem Parse the properties file only if the special configs exist - for /f %%i in ('findstr /r /c:"^[\t ]*spark.driver.memory" /c:"^[\t ]*spark.driver.extra" ^ - %SPARK_SUBMIT_PROPERTIES_FILE%') do ( - set SPARK_SUBMIT_BOOTSTRAP_DRIVER=1 - ) - ) +rem This is the entry point for running Spark submit. To avoid polluting the +rem environment, it just launches a new cmd to do the real work. + +set CLASS=org.apache.spark.deploy.SparkSubmit +call %~dp0spark-class2.cmd %CLASS% %* +set SPARK_ERROR_LEVEL=%ERRORLEVEL% +if not "x%SPARK_LAUNCHER_USAGE_ERROR%"=="x" ( + call :usage + exit /b 1 ) +exit /b %SPARK_ERROR_LEVEL% -cmd /V /E /C %SPARK_HOME%\bin\spark-class.cmd org.apache.spark.deploy.SparkSubmit %ORIG_ARGS% +:usage +echo %SPARK_LAUNCHER_USAGE_ERROR% +call %SPARK_HOME%\bin\spark-class2.cmd %CLASS% --help +goto :eof diff --git a/bin/utils.sh b/bin/utils.sh deleted file mode 100755 index 748dbe345a74c..0000000000000 --- a/bin/utils.sh +++ /dev/null @@ -1,60 +0,0 @@ -#!/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. -# - -# Gather all spark-submit options into SUBMISSION_OPTS -function gatherSparkSubmitOpts() { - - if [ -z "$SUBMIT_USAGE_FUNCTION" ]; then - echo "Function for printing usage of $0 is not set." 1>&2 - echo "Please set usage function to shell variable 'SUBMIT_USAGE_FUNCTION' in $0" 1>&2 - exit 1 - fi - - # NOTE: If you add or remove spark-submit options, - # modify NOT ONLY this script but also SparkSubmitArgument.scala - SUBMISSION_OPTS=() - APPLICATION_OPTS=() - while (($#)); do - case "$1" in - --master | --deploy-mode | --class | --name | --jars | --packages | --py-files | --files | \ - --conf | --repositories | --properties-file | --driver-memory | --driver-java-options | \ - --driver-library-path | --driver-class-path | --executor-memory | --driver-cores | \ - --total-executor-cores | --executor-cores | --queue | --num-executors | --archives | \ - --proxy-user) - if [[ $# -lt 2 ]]; then - "$SUBMIT_USAGE_FUNCTION" - exit 1; - fi - SUBMISSION_OPTS+=("$1"); shift - SUBMISSION_OPTS+=("$1"); shift - ;; - - --verbose | -v | --supervise) - SUBMISSION_OPTS+=("$1"); shift - ;; - - *) - APPLICATION_OPTS+=("$1"); shift - ;; - esac - done - - export SUBMISSION_OPTS - export APPLICATION_OPTS -} diff --git a/bin/windows-utils.cmd b/bin/windows-utils.cmd deleted file mode 100644 index 0cf9e87ca554b..0000000000000 --- a/bin/windows-utils.cmd +++ /dev/null @@ -1,60 +0,0 @@ -rem -rem Licensed to the Apache Software Foundation (ASF) under one or more -rem contributor license agreements. See the NOTICE file distributed with -rem this work for additional information regarding copyright ownership. -rem The ASF licenses this file to You under the Apache License, Version 2.0 -rem (the "License"); you may not use this file except in compliance with -rem the License. You may obtain a copy of the License at -rem -rem http://www.apache.org/licenses/LICENSE-2.0 -rem -rem Unless required by applicable law or agreed to in writing, software -rem distributed under the License is distributed on an "AS IS" BASIS, -rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -rem See the License for the specific language governing permissions and -rem limitations under the License. -rem - -rem Gather all spark-submit options into SUBMISSION_OPTS - -set SUBMISSION_OPTS= -set APPLICATION_OPTS= - -rem NOTE: If you add or remove spark-sumbmit options, -rem modify NOT ONLY this script but also SparkSubmitArgument.scala - -:OptsLoop -if "x%1"=="x" ( - goto :OptsLoopEnd -) - -SET opts="\<--master\> \<--deploy-mode\> \<--class\> \<--name\> \<--jars\> \<--py-files\> \<--files\>" -SET opts="%opts:~1,-1% \<--conf\> \<--properties-file\> \<--driver-memory\> \<--driver-java-options\>" -SET opts="%opts:~1,-1% \<--driver-library-path\> \<--driver-class-path\> \<--executor-memory\>" -SET opts="%opts:~1,-1% \<--driver-cores\> \<--total-executor-cores\> \<--executor-cores\> \<--queue\>" -SET opts="%opts:~1,-1% \<--num-executors\> \<--archives\> \<--packages\> \<--repositories\>" -SET opts="%opts:~1,-1% \<--proxy-user\>" - -echo %1 | findstr %opts% >nul -if %ERRORLEVEL% equ 0 ( - if "x%2"=="x" ( - echo "%1" requires an argument. >&2 - exit /b 1 - ) - set SUBMISSION_OPTS=%SUBMISSION_OPTS% %1 %2 - shift - shift - goto :OptsLoop -) -echo %1 | findstr "\<--verbose\> \<-v\> \<--supervise\>" >nul -if %ERRORLEVEL% equ 0 ( - set SUBMISSION_OPTS=%SUBMISSION_OPTS% %1 - shift - goto :OptsLoop -) -set APPLICATION_OPTS=%APPLICATION_OPTS% %1 -shift -goto :OptsLoop - -:OptsLoopEnd -exit /b 0 diff --git a/core/pom.xml b/core/pom.xml index dc0d07d806635..4164a3a7208d4 100644 --- a/core/pom.xml +++ b/core/pom.xml @@ -76,6 +76,11 @@ + + org.apache.spark + spark-launcher_${scala.binary.version} + ${project.version} + org.apache.spark spark-network-common_${scala.binary.version} diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala index 82e66a374249c..94e4bdbfb7d7b 100644 --- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala +++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala @@ -18,18 +18,22 @@ package org.apache.spark.deploy import java.net.URI +import java.util.{List => JList} import java.util.jar.JarFile +import scala.collection.JavaConversions._ import scala.collection.mutable.{ArrayBuffer, HashMap} import org.apache.spark.deploy.SparkSubmitAction._ +import org.apache.spark.launcher.SparkSubmitArgumentsParser import org.apache.spark.util.Utils /** * Parses and encapsulates arguments from the spark-submit script. * The env argument is used for testing. */ -private[spark] class SparkSubmitArguments(args: Seq[String], env: Map[String, String] = sys.env) { +private[spark] class SparkSubmitArguments(args: Seq[String], env: Map[String, String] = sys.env) + extends SparkSubmitArgumentsParser { var master: String = null var deployMode: String = null var executorMemory: String = null @@ -84,7 +88,12 @@ private[spark] class SparkSubmitArguments(args: Seq[String], env: Map[String, St } // Set parameters from command line arguments - parseOpts(args.toList) + try { + parse(args.toList) + } catch { + case e: IllegalArgumentException => + SparkSubmit.printErrorAndExit(e.getMessage()) + } // Populate `sparkProperties` map from properties file mergeDefaultSparkProperties() // Use `sparkProperties` map along with env vars to fill in any missing parameters @@ -277,167 +286,139 @@ private[spark] class SparkSubmitArguments(args: Seq[String], env: Map[String, St """.stripMargin } - /** - * Fill in values by parsing user options. - * NOTE: Any changes here must be reflected in YarnClientSchedulerBackend. - */ - private def parseOpts(opts: Seq[String]): Unit = { - val EQ_SEPARATED_OPT="""(--[^=]+)=(.+)""".r - - // Delineates parsing of Spark options from parsing of user options. - parse(opts) - - /** - * NOTE: If you add or remove spark-submit options, - * modify NOT ONLY this file but also utils.sh - */ - def parse(opts: Seq[String]): Unit = opts match { - case ("--name") :: value :: tail => + /** Fill in values by parsing user options. */ + override protected def handle(opt: String, value: String): Boolean = { + opt match { + case NAME => name = value - parse(tail) - case ("--master") :: value :: tail => + case MASTER => master = value - parse(tail) - case ("--class") :: value :: tail => + case CLASS => mainClass = value - parse(tail) - case ("--deploy-mode") :: value :: tail => + case DEPLOY_MODE => if (value != "client" && value != "cluster") { SparkSubmit.printErrorAndExit("--deploy-mode must be either \"client\" or \"cluster\"") } deployMode = value - parse(tail) - case ("--num-executors") :: value :: tail => + case NUM_EXECUTORS => numExecutors = value - parse(tail) - case ("--total-executor-cores") :: value :: tail => + case TOTAL_EXECUTOR_CORES => totalExecutorCores = value - parse(tail) - case ("--executor-cores") :: value :: tail => + case EXECUTOR_CORES => executorCores = value - parse(tail) - case ("--executor-memory") :: value :: tail => + case EXECUTOR_MEMORY => executorMemory = value - parse(tail) - case ("--driver-memory") :: value :: tail => + case DRIVER_MEMORY => driverMemory = value - parse(tail) - case ("--driver-cores") :: value :: tail => + case DRIVER_CORES => driverCores = value - parse(tail) - case ("--driver-class-path") :: value :: tail => + case DRIVER_CLASS_PATH => driverExtraClassPath = value - parse(tail) - case ("--driver-java-options") :: value :: tail => + case DRIVER_JAVA_OPTIONS => driverExtraJavaOptions = value - parse(tail) - case ("--driver-library-path") :: value :: tail => + case DRIVER_LIBRARY_PATH => driverExtraLibraryPath = value - parse(tail) - case ("--properties-file") :: value :: tail => + case PROPERTIES_FILE => propertiesFile = value - parse(tail) - case ("--kill") :: value :: tail => + case KILL_SUBMISSION => submissionToKill = value if (action != null) { SparkSubmit.printErrorAndExit(s"Action cannot be both $action and $KILL.") } action = KILL - parse(tail) - case ("--status") :: value :: tail => + case STATUS => submissionToRequestStatusFor = value if (action != null) { SparkSubmit.printErrorAndExit(s"Action cannot be both $action and $REQUEST_STATUS.") } action = REQUEST_STATUS - parse(tail) - case ("--supervise") :: tail => + case SUPERVISE => supervise = true - parse(tail) - case ("--queue") :: value :: tail => + case QUEUE => queue = value - parse(tail) - case ("--files") :: value :: tail => + case FILES => files = Utils.resolveURIs(value) - parse(tail) - case ("--py-files") :: value :: tail => + case PY_FILES => pyFiles = Utils.resolveURIs(value) - parse(tail) - case ("--archives") :: value :: tail => + case ARCHIVES => archives = Utils.resolveURIs(value) - parse(tail) - case ("--jars") :: value :: tail => + case JARS => jars = Utils.resolveURIs(value) - parse(tail) - case ("--packages") :: value :: tail => + case PACKAGES => packages = value - parse(tail) - case ("--repositories") :: value :: tail => + case REPOSITORIES => repositories = value - parse(tail) - case ("--conf" | "-c") :: value :: tail => + case CONF => value.split("=", 2).toSeq match { case Seq(k, v) => sparkProperties(k) = v case _ => SparkSubmit.printErrorAndExit(s"Spark config without '=': $value") } - parse(tail) - case ("--proxy-user") :: value :: tail => + case PROXY_USER => proxyUser = value - parse(tail) - case ("--help" | "-h") :: tail => + case HELP => printUsageAndExit(0) - case ("--verbose" | "-v") :: tail => + case VERBOSE => verbose = true - parse(tail) - case ("--version") :: tail => + case VERSION => SparkSubmit.printVersionAndExit() - case EQ_SEPARATED_OPT(opt, value) :: tail => - parse(opt :: value :: tail) + case _ => + throw new IllegalArgumentException(s"Unexpected argument '$opt'.") + } + true + } - case value :: tail if value.startsWith("-") => - SparkSubmit.printErrorAndExit(s"Unrecognized option '$value'.") + /** + * Handle unrecognized command line options. + * + * The first unrecognized option is treated as the "primary resource". Everything else is + * treated as application arguments. + */ + override protected def handleUnknown(opt: String): Boolean = { + if (opt.startsWith("-")) { + SparkSubmit.printErrorAndExit(s"Unrecognized option '$opt'.") + } - case value :: tail => - primaryResource = - if (!SparkSubmit.isShell(value) && !SparkSubmit.isInternal(value)) { - Utils.resolveURI(value).toString - } else { - value - } - isPython = SparkSubmit.isPython(value) - childArgs ++= tail + primaryResource = + if (!SparkSubmit.isShell(opt) && !SparkSubmit.isInternal(opt)) { + Utils.resolveURI(opt).toString + } else { + opt + } + isPython = SparkSubmit.isPython(opt) + false + } - case Nil => - } + override protected def handleExtraArgs(extra: JList[String]): Unit = { + childArgs ++= extra } private def printUsageAndExit(exitCode: Int, unknownParam: Any = null): Unit = { diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitDriverBootstrapper.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitDriverBootstrapper.scala deleted file mode 100644 index 311048cdaa324..0000000000000 --- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitDriverBootstrapper.scala +++ /dev/null @@ -1,170 +0,0 @@ -/* - * 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. - */ - -package org.apache.spark.deploy - -import scala.collection.JavaConversions._ - -import org.apache.spark.util.{RedirectThread, Utils} - -/** - * Launch an application through Spark submit in client mode with the appropriate classpath, - * library paths, java options and memory. These properties of the JVM must be set before the - * driver JVM is launched. The sole purpose of this class is to avoid handling the complexity - * of parsing the properties file for such relevant configs in Bash. - * - * Usage: org.apache.spark.deploy.SparkSubmitDriverBootstrapper - */ -private[spark] object SparkSubmitDriverBootstrapper { - - // Note: This class depends on the behavior of `bin/spark-class` and `bin/spark-submit`. - // Any changes made there must be reflected in this file. - - def main(args: Array[String]): Unit = { - - // This should be called only from `bin/spark-class` - if (!sys.env.contains("SPARK_CLASS")) { - System.err.println("SparkSubmitDriverBootstrapper must be called from `bin/spark-class`!") - System.exit(1) - } - - val submitArgs = args - val runner = sys.env("RUNNER") - val classpath = sys.env("CLASSPATH") - val javaOpts = sys.env("JAVA_OPTS") - val defaultDriverMemory = sys.env("OUR_JAVA_MEM") - - // Spark submit specific environment variables - val deployMode = sys.env("SPARK_SUBMIT_DEPLOY_MODE") - val propertiesFile = sys.env("SPARK_SUBMIT_PROPERTIES_FILE") - val bootstrapDriver = sys.env("SPARK_SUBMIT_BOOTSTRAP_DRIVER") - val submitDriverMemory = sys.env.get("SPARK_SUBMIT_DRIVER_MEMORY") - val submitLibraryPath = sys.env.get("SPARK_SUBMIT_LIBRARY_PATH") - val submitClasspath = sys.env.get("SPARK_SUBMIT_CLASSPATH") - val submitJavaOpts = sys.env.get("SPARK_SUBMIT_OPTS") - - assume(runner != null, "RUNNER must be set") - assume(classpath != null, "CLASSPATH must be set") - assume(javaOpts != null, "JAVA_OPTS must be set") - assume(defaultDriverMemory != null, "OUR_JAVA_MEM must be set") - assume(deployMode == "client", "SPARK_SUBMIT_DEPLOY_MODE must be \"client\"!") - assume(propertiesFile != null, "SPARK_SUBMIT_PROPERTIES_FILE must be set") - assume(bootstrapDriver != null, "SPARK_SUBMIT_BOOTSTRAP_DRIVER must be set") - - // Parse the properties file for the equivalent spark.driver.* configs - val properties = Utils.getPropertiesFromFile(propertiesFile) - val confDriverMemory = properties.get("spark.driver.memory") - val confLibraryPath = properties.get("spark.driver.extraLibraryPath") - val confClasspath = properties.get("spark.driver.extraClassPath") - val confJavaOpts = properties.get("spark.driver.extraJavaOptions") - - // Favor Spark submit arguments over the equivalent configs in the properties file. - // Note that we do not actually use the Spark submit values for library path, classpath, - // and Java opts here, because we have already captured them in Bash. - - val newDriverMemory = submitDriverMemory - .orElse(confDriverMemory) - .getOrElse(defaultDriverMemory) - - val newClasspath = - if (submitClasspath.isDefined) { - classpath - } else { - classpath + confClasspath.map(sys.props("path.separator") + _).getOrElse("") - } - - val newJavaOpts = - if (submitJavaOpts.isDefined) { - // SPARK_SUBMIT_OPTS is already captured in JAVA_OPTS - javaOpts - } else { - javaOpts + confJavaOpts.map(" " + _).getOrElse("") - } - - val filteredJavaOpts = Utils.splitCommandString(newJavaOpts) - .filterNot(_.startsWith("-Xms")) - .filterNot(_.startsWith("-Xmx")) - - // Build up command - val command: Seq[String] = - Seq(runner) ++ - Seq("-cp", newClasspath) ++ - filteredJavaOpts ++ - Seq(s"-Xms$newDriverMemory", s"-Xmx$newDriverMemory") ++ - Seq("org.apache.spark.deploy.SparkSubmit") ++ - submitArgs - - // Print the launch command. This follows closely the format used in `bin/spark-class`. - if (sys.env.contains("SPARK_PRINT_LAUNCH_COMMAND")) { - System.err.print("Spark Command: ") - System.err.println(command.mkString(" ")) - System.err.println("========================================\n") - } - - // Start the driver JVM - val filteredCommand = command.filter(_.nonEmpty) - val builder = new ProcessBuilder(filteredCommand) - val env = builder.environment() - - if (submitLibraryPath.isEmpty && confLibraryPath.nonEmpty) { - val libraryPaths = confLibraryPath ++ sys.env.get(Utils.libraryPathEnvName) - env.put(Utils.libraryPathEnvName, libraryPaths.mkString(sys.props("path.separator"))) - } - - val process = builder.start() - - // If we kill an app while it's running, its sub-process should be killed too. - Runtime.getRuntime().addShutdownHook(new Thread() { - override def run() = { - if (process != null) { - process.destroy() - process.waitFor() - } - } - }) - - // Redirect stdout and stderr from the child JVM - val stdoutThread = new RedirectThread(process.getInputStream, System.out, "redirect stdout") - val stderrThread = new RedirectThread(process.getErrorStream, System.err, "redirect stderr") - stdoutThread.start() - stderrThread.start() - - // Redirect stdin to child JVM only if we're not running Windows. This is because the - // subprocess there already reads directly from our stdin, so we should avoid spawning a - // thread that contends with the subprocess in reading from System.in. - val isWindows = Utils.isWindows - val isSubprocess = sys.env.contains("IS_SUBPROCESS") - if (!isWindows) { - val stdinThread = new RedirectThread(System.in, process.getOutputStream, "redirect stdin", - propagateEof = true) - stdinThread.start() - // Spark submit (JVM) may run as a subprocess, and so this JVM should terminate on - // broken pipe, signaling that the parent process has exited. This is the case if the - // application is launched directly from python, as in the PySpark shell. In Windows, - // the termination logic is handled in java_gateway.py - if (isSubprocess) { - stdinThread.join() - process.destroy() - } - } - val returnCode = process.waitFor() - stdoutThread.join() - stderrThread.join() - sys.exit(returnCode) - } - -} diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/CommandUtils.scala b/core/src/main/scala/org/apache/spark/deploy/worker/CommandUtils.scala index 3e013c32096c5..83f78cf47306c 100644 --- a/core/src/main/scala/org/apache/spark/deploy/worker/CommandUtils.scala +++ b/core/src/main/scala/org/apache/spark/deploy/worker/CommandUtils.scala @@ -20,10 +20,12 @@ package org.apache.spark.deploy.worker import java.io.{File, FileOutputStream, InputStream, IOException} import java.lang.System._ +import scala.collection.JavaConversions._ import scala.collection.Map import org.apache.spark.Logging import org.apache.spark.deploy.Command +import org.apache.spark.launcher.WorkerCommandBuilder import org.apache.spark.util.Utils /** @@ -54,12 +56,10 @@ object CommandUtils extends Logging { } private def buildCommandSeq(command: Command, memory: Int, sparkHome: String): Seq[String] = { - val runner = sys.env.get("JAVA_HOME").map(_ + "/bin/java").getOrElse("java") - // SPARK-698: do not call the run.cmd script, as process.destroy() // fails to kill a process tree on Windows - Seq(runner) ++ buildJavaOpts(command, memory, sparkHome) ++ Seq(command.mainClass) ++ - command.arguments + val cmd = new WorkerCommandBuilder(sparkHome, memory, command).buildCommand() + cmd.toSeq ++ Seq(command.mainClass) ++ command.arguments } /** @@ -92,44 +92,6 @@ object CommandUtils extends Logging { command.javaOpts) } - /** - * Attention: this must always be aligned with the environment variables in the run scripts and - * the way the JAVA_OPTS are assembled there. - */ - private def buildJavaOpts(command: Command, memory: Int, sparkHome: String): Seq[String] = { - val memoryOpts = Seq(s"-Xms${memory}M", s"-Xmx${memory}M") - - // Exists for backwards compatibility with older Spark versions - val workerLocalOpts = Option(getenv("SPARK_JAVA_OPTS")).map(Utils.splitCommandString) - .getOrElse(Nil) - if (workerLocalOpts.length > 0) { - logWarning("SPARK_JAVA_OPTS was set on the worker. It is deprecated in Spark 1.0.") - logWarning("Set SPARK_LOCAL_DIRS for node-specific storage locations.") - } - - // Figure out our classpath with the external compute-classpath script - val ext = if (System.getProperty("os.name").startsWith("Windows")) ".cmd" else ".sh" - val classPath = Utils.executeAndGetOutput( - Seq(sparkHome + "/bin/compute-classpath" + ext), - extraEnvironment = command.environment) - val userClassPath = command.classPathEntries ++ Seq(classPath) - - val javaVersion = System.getProperty("java.version") - - val javaOpts = workerLocalOpts ++ command.javaOpts - - val permGenOpt = - if (!javaVersion.startsWith("1.8") && !javaOpts.exists(_.startsWith("-XX:MaxPermSize="))) { - // do not specify -XX:MaxPermSize if it was already specified by user - Some("-XX:MaxPermSize=128m") - } else { - None - } - - Seq("-cp", userClassPath.filterNot(_.isEmpty).mkString(File.pathSeparator)) ++ - permGenOpt ++ javaOpts ++ memoryOpts - } - /** Spawn a thread that will redirect a given stream to a file */ def redirectStream(in: InputStream, file: File) { val out = new FileOutputStream(file, true) diff --git a/core/src/main/scala/org/apache/spark/executor/Executor.scala b/core/src/main/scala/org/apache/spark/executor/Executor.scala index bed0a08d4d515..a897e532184ac 100644 --- a/core/src/main/scala/org/apache/spark/executor/Executor.scala +++ b/core/src/main/scala/org/apache/spark/executor/Executor.scala @@ -49,7 +49,6 @@ private[spark] class Executor( isLocal: Boolean = false) extends Logging { - logInfo(s"Starting executor ID $executorId on host $executorHostname") // Application dependencies (added through SparkContext) that we've fetched so far on this node. diff --git a/core/src/main/scala/org/apache/spark/launcher/SparkSubmitArgumentsParser.scala b/core/src/main/scala/org/apache/spark/launcher/SparkSubmitArgumentsParser.scala new file mode 100644 index 0000000000000..a835012531052 --- /dev/null +++ b/core/src/main/scala/org/apache/spark/launcher/SparkSubmitArgumentsParser.scala @@ -0,0 +1,25 @@ +/* + * 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. + */ + +package org.apache.spark.launcher + +/** + * This class makes SparkSubmitOptionParser visible for Spark code outside of the `launcher` + * package, since Java doesn't have a feature similar to `private[spark]`, and we don't want + * that class to be public. + */ +private[spark] abstract class SparkSubmitArgumentsParser extends SparkSubmitOptionParser diff --git a/core/src/main/scala/org/apache/spark/launcher/WorkerCommandBuilder.scala b/core/src/main/scala/org/apache/spark/launcher/WorkerCommandBuilder.scala new file mode 100644 index 0000000000000..9be98723aed14 --- /dev/null +++ b/core/src/main/scala/org/apache/spark/launcher/WorkerCommandBuilder.scala @@ -0,0 +1,50 @@ +/* + * 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. + */ + +package org.apache.spark.launcher + +import java.io.File +import java.util.{HashMap => JHashMap, List => JList, Map => JMap} + +import scala.collection.JavaConversions._ + +import org.apache.spark.deploy.Command + +/** + * This class is used by CommandUtils. It uses some package-private APIs in SparkLauncher, and since + * Java doesn't have a feature similar to `private[spark]`, and we don't want that class to be + * public, needs to live in the same package as the rest of the library. + */ +private[spark] class WorkerCommandBuilder(sparkHome: String, memoryMb: Int, command: Command) + extends AbstractCommandBuilder { + + childEnv.putAll(command.environment) + childEnv.put(CommandBuilderUtils.ENV_SPARK_HOME, sparkHome) + + override def buildCommand(env: JMap[String, String]): JList[String] = { + val cmd = buildJavaCommand(command.classPathEntries.mkString(File.pathSeparator)) + cmd.add(s"-Xms${memoryMb}M") + cmd.add(s"-Xmx${memoryMb}M") + command.javaOpts.foreach(cmd.add) + addPermGenSizeOpt(cmd) + addOptionString(cmd, getenv("SPARK_JAVA_OPTS")) + cmd + } + + def buildCommand(): JList[String] = buildCommand(new JHashMap[String, String]()) + +} diff --git a/docs/programming-guide.md b/docs/programming-guide.md index b5e04bd0c610d..fa0b4e3705d6e 100644 --- a/docs/programming-guide.md +++ b/docs/programming-guide.md @@ -1369,6 +1369,11 @@ The [application submission guide](submitting-applications.html) describes how t In short, once you package your application into a JAR (for Java/Scala) or a set of `.py` or `.zip` files (for Python), the `bin/spark-submit` script lets you submit it to any supported cluster manager. +# Launching Spark jobs from Java / Scala + +The [org.apache.spark.launcher](api/java/index.html?org/apache/spark/launcher/package-summary.html) +package provides classes for launching Spark jobs as child processes using a simple Java API. + # Unit Testing Spark is friendly to unit testing with any popular unit test framework. diff --git a/launcher/pom.xml b/launcher/pom.xml new file mode 100644 index 0000000000000..ccbd9d0419a98 --- /dev/null +++ b/launcher/pom.xml @@ -0,0 +1,83 @@ + + + + + 4.0.0 + + org.apache.spark + spark-parent_2.10 + 1.3.0-SNAPSHOT + ../pom.xml + + + org.apache.spark + spark-launcher_2.10 + jar + Spark Launcher Project + http://spark.apache.org/ + + launcher + + + + + + log4j + log4j + test + + + junit + junit + test + + + org.mockito + mockito-all + test + + + org.scalatest + scalatest_${scala.binary.version} + test + + + org.slf4j + slf4j-api + test + + + org.slf4j + slf4j-log4j12 + test + + + + + org.apache.hadoop + hadoop-client + test + + + + + target/scala-${scala.binary.version}/classes + target/scala-${scala.binary.version}/test-classes + + diff --git a/launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java b/launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java new file mode 100644 index 0000000000000..dc90e9e987234 --- /dev/null +++ b/launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java @@ -0,0 +1,362 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.io.BufferedReader; +import java.io.File; +import java.io.FileFilter; +import java.io.FileInputStream; +import java.io.InputStreamReader; +import java.io.IOException; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Properties; +import java.util.jar.JarFile; +import java.util.regex.Pattern; + +import static org.apache.spark.launcher.CommandBuilderUtils.*; + +/** + * Abstract Spark command builder that defines common functionality. + */ +abstract class AbstractCommandBuilder { + + boolean verbose; + String appName; + String appResource; + String deployMode; + String javaHome; + String mainClass; + String master; + String propertiesFile; + final List appArgs; + final List jars; + final List files; + final List pyFiles; + final Map childEnv; + final Map conf; + + public AbstractCommandBuilder() { + this.appArgs = new ArrayList(); + this.childEnv = new HashMap(); + this.conf = new HashMap(); + this.files = new ArrayList(); + this.jars = new ArrayList(); + this.pyFiles = new ArrayList(); + } + + /** + * Builds the command to execute. + * + * @param env A map containing environment variables for the child process. It may already contain + * entries defined by the user (such as SPARK_HOME, or those defined by the + * SparkLauncher constructor that takes an environment), and may be modified to + * include other variables needed by the process to be executed. + */ + abstract List buildCommand(Map env) throws IOException; + + /** + * Builds a list of arguments to run java. + * + * This method finds the java executable to use and appends JVM-specific options for running a + * class with Spark in the classpath. It also loads options from the "java-opts" file in the + * configuration directory being used. + * + * Callers should still add at least the class to run, as well as any arguments to pass to the + * class. + */ + List buildJavaCommand(String extraClassPath) throws IOException { + List cmd = new ArrayList(); + if (javaHome == null) { + cmd.add(join(File.separator, System.getProperty("java.home"), "bin", "java")); + } else { + cmd.add(join(File.separator, javaHome, "bin", "java")); + } + + // Load extra JAVA_OPTS from conf/java-opts, if it exists. + File javaOpts = new File(join(File.separator, getConfDir(), "java-opts")); + if (javaOpts.isFile()) { + BufferedReader br = new BufferedReader(new InputStreamReader( + new FileInputStream(javaOpts), "UTF-8")); + try { + String line; + while ((line = br.readLine()) != null) { + addOptionString(cmd, line); + } + } finally { + br.close(); + } + } + + cmd.add("-cp"); + cmd.add(join(File.pathSeparator, buildClassPath(extraClassPath))); + return cmd; + } + + /** + * Adds the default perm gen size option for Spark if the VM requires it and the user hasn't + * set it. + */ + void addPermGenSizeOpt(List cmd) { + // Don't set MaxPermSize for Java 8 and later. + String[] version = System.getProperty("java.version").split("\\."); + if (Integer.parseInt(version[0]) > 1 || Integer.parseInt(version[1]) > 7) { + return; + } + + for (String arg : cmd) { + if (arg.startsWith("-XX:MaxPermSize=")) { + return; + } + } + + cmd.add("-XX:MaxPermSize=128m"); + } + + void addOptionString(List cmd, String options) { + if (!isEmpty(options)) { + for (String opt : parseOptionString(options)) { + cmd.add(opt); + } + } + } + + /** + * Builds the classpath for the application. Returns a list with one classpath entry per element; + * each entry is formatted in the way expected by java.net.URLClassLoader (more + * specifically, with trailing slashes for directories). + */ + List buildClassPath(String appClassPath) throws IOException { + String sparkHome = getSparkHome(); + String scala = getScalaVersion(); + + List cp = new ArrayList(); + addToClassPath(cp, getenv("SPARK_CLASSPATH")); + addToClassPath(cp, appClassPath); + + addToClassPath(cp, getConfDir()); + + boolean prependClasses = !isEmpty(getenv("SPARK_PREPEND_CLASSES")); + boolean isTesting = "1".equals(getenv("SPARK_TESTING")); + if (prependClasses || isTesting) { + List projects = Arrays.asList("core", "repl", "mllib", "bagel", "graphx", + "streaming", "tools", "sql/catalyst", "sql/core", "sql/hive", "sql/hive-thriftserver", + "yarn", "launcher"); + if (prependClasses) { + System.err.println( + "NOTE: SPARK_PREPEND_CLASSES is set, placing locally compiled Spark classes ahead of " + + "assembly."); + for (String project : projects) { + addToClassPath(cp, String.format("%s/%s/target/scala-%s/classes", sparkHome, project, + scala)); + } + } + if (isTesting) { + for (String project : projects) { + addToClassPath(cp, String.format("%s/%s/target/scala-%s/test-classes", sparkHome, + project, scala)); + } + } + + // Add this path to include jars that are shaded in the final deliverable created during + // the maven build. These jars are copied to this directory during the build. + addToClassPath(cp, String.format("%s/core/target/jars/*", sparkHome)); + } + + String assembly = findAssembly(scala); + addToClassPath(cp, assembly); + + // When Hive support is needed, Datanucleus jars must be included on the classpath. Datanucleus + // jars do not work if only included in the uber jar as plugin.xml metadata is lost. Both sbt + // and maven will populate "lib_managed/jars/" with the datanucleus jars when Spark is built + // with Hive, so first check if the datanucleus jars exist, and then ensure the current Spark + // assembly is built for Hive, before actually populating the CLASSPATH with the jars. + // + // This block also serves as a check for SPARK-1703, when the assembly jar is built with + // Java 7 and ends up with too many files, causing issues with other JDK versions. + boolean needsDataNucleus = false; + JarFile assemblyJar = null; + try { + assemblyJar = new JarFile(assembly); + needsDataNucleus = assemblyJar.getEntry("org/apache/hadoop/hive/ql/exec/") != null; + } catch (IOException ioe) { + if (ioe.getMessage().indexOf("invalid CEN header") >= 0) { + System.err.println( + "Loading Spark jar failed.\n" + + "This is likely because Spark was compiled with Java 7 and run\n" + + "with Java 6 (see SPARK-1703). Please use Java 7 to run Spark\n" + + "or build Spark with Java 6."); + System.exit(1); + } else { + throw ioe; + } + } finally { + if (assemblyJar != null) { + try { + assemblyJar.close(); + } catch (IOException e) { + // Ignore. + } + } + } + + if (needsDataNucleus) { + System.err.println("Spark assembly has been built with Hive, including Datanucleus jars " + + "in classpath."); + File libdir; + if (new File(sparkHome, "RELEASE").isFile()) { + libdir = new File(sparkHome, "lib"); + } else { + libdir = new File(sparkHome, "lib_managed/jars"); + } + + checkState(libdir.isDirectory(), "Library directory '%s' does not exist.", + libdir.getAbsolutePath()); + for (File jar : libdir.listFiles()) { + if (jar.getName().startsWith("datanucleus-")) { + addToClassPath(cp, jar.getAbsolutePath()); + } + } + } + + addToClassPath(cp, getenv("HADOOP_CONF_DIR")); + addToClassPath(cp, getenv("YARN_CONF_DIR")); + addToClassPath(cp, getenv("SPARK_DIST_CLASSPATH")); + return cp; + } + + /** + * Adds entries to the classpath. + * + * @param cp List to which the new entries are appended. + * @param entries New classpath entries (separated by File.pathSeparator). + */ + private void addToClassPath(List cp, String entries) { + if (isEmpty(entries)) { + return; + } + String[] split = entries.split(Pattern.quote(File.pathSeparator)); + for (String entry : split) { + if (!isEmpty(entry)) { + if (new File(entry).isDirectory() && !entry.endsWith(File.separator)) { + entry += File.separator; + } + cp.add(entry); + } + } + } + + String getScalaVersion() { + String scala = getenv("SPARK_SCALA_VERSION"); + if (scala != null) { + return scala; + } + + String sparkHome = getSparkHome(); + File scala210 = new File(sparkHome, "assembly/target/scala-2.10"); + File scala211 = new File(sparkHome, "assembly/target/scala-2.11"); + checkState(!scala210.isDirectory() || !scala211.isDirectory(), + "Presence of build for both scala versions (2.10 and 2.11) detected.\n" + + "Either clean one of them or set SPARK_SCALA_VERSION in your environment."); + if (scala210.isDirectory()) { + return "2.10"; + } else { + checkState(scala211.isDirectory(), "Cannot find any assembly build directories."); + return "2.11"; + } + } + + String getSparkHome() { + String path = getenv(ENV_SPARK_HOME); + checkState(path != null, + "Spark home not found; set it explicitly or use the SPARK_HOME environment variable."); + return path; + } + + /** + * Loads the configuration file for the application, if it exists. This is either the + * user-specified properties file, or the spark-defaults.conf file under the Spark configuration + * directory. + */ + Properties loadPropertiesFile() throws IOException { + Properties props = new Properties(); + File propsFile; + if (propertiesFile != null) { + propsFile = new File(propertiesFile); + checkArgument(propsFile.isFile(), "Invalid properties file '%s'.", propertiesFile); + } else { + propsFile = new File(getConfDir(), DEFAULT_PROPERTIES_FILE); + } + + if (propsFile.isFile()) { + FileInputStream fd = null; + try { + fd = new FileInputStream(propsFile); + props.load(new InputStreamReader(fd, "UTF-8")); + } finally { + if (fd != null) { + try { + fd.close(); + } catch (IOException e) { + // Ignore. + } + } + } + } + + return props; + } + + String getenv(String key) { + return firstNonEmpty(childEnv.get(key), System.getenv(key)); + } + + private String findAssembly(String scalaVersion) { + String sparkHome = getSparkHome(); + File libdir; + if (new File(sparkHome, "RELEASE").isFile()) { + libdir = new File(sparkHome, "lib"); + checkState(libdir.isDirectory(), "Library directory '%s' does not exist.", + libdir.getAbsolutePath()); + } else { + libdir = new File(sparkHome, String.format("assembly/target/scala-%s", scalaVersion)); + } + + final Pattern re = Pattern.compile("spark-assembly.*hadoop.*\\.jar"); + FileFilter filter = new FileFilter() { + @Override + public boolean accept(File file) { + return file.isFile() && re.matcher(file.getName()).matches(); + } + }; + File[] assemblies = libdir.listFiles(filter); + checkState(assemblies != null && assemblies.length > 0, "No assemblies found in '%s'.", libdir); + checkState(assemblies.length == 1, "Multiple assemblies found in '%s'.", libdir); + return assemblies[0].getAbsolutePath(); + } + + private String getConfDir() { + String confDir = getenv("SPARK_CONF_DIR"); + return confDir != null ? confDir : join(File.separator, getSparkHome(), "conf"); + } + +} diff --git a/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java b/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java new file mode 100644 index 0000000000000..9b04732afee14 --- /dev/null +++ b/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java @@ -0,0 +1,296 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.io.File; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +/** + * Helper methods for command builders. + */ +class CommandBuilderUtils { + + static final String DEFAULT_MEM = "512m"; + static final String DEFAULT_PROPERTIES_FILE = "spark-defaults.conf"; + static final String ENV_SPARK_HOME = "SPARK_HOME"; + + /** Returns whether the given string is null or empty. */ + static boolean isEmpty(String s) { + return s == null || s.isEmpty(); + } + + /** Joins a list of strings using the given separator. */ + static String join(String sep, String... elements) { + StringBuilder sb = new StringBuilder(); + for (String e : elements) { + if (e != null) { + if (sb.length() > 0) { + sb.append(sep); + } + sb.append(e); + } + } + return sb.toString(); + } + + /** Joins a list of strings using the given separator. */ + static String join(String sep, Iterable elements) { + StringBuilder sb = new StringBuilder(); + for (String e : elements) { + if (e != null) { + if (sb.length() > 0) { + sb.append(sep); + } + sb.append(e); + } + } + return sb.toString(); + } + + /** + * Returns the first non-empty value mapped to the given key in the given maps, or null otherwise. + */ + static String firstNonEmptyValue(String key, Map... maps) { + for (Map map : maps) { + String value = (String) map.get(key); + if (!isEmpty(value)) { + return value; + } + } + return null; + } + + /** Returns the first non-empty, non-null string in the given list, or null otherwise. */ + static String firstNonEmpty(String... candidates) { + for (String s : candidates) { + if (!isEmpty(s)) { + return s; + } + } + return null; + } + + /** Returns the name of the env variable that holds the native library path. */ + static String getLibPathEnvName() { + if (isWindows()) { + return "PATH"; + } + + String os = System.getProperty("os.name"); + if (os.startsWith("Mac OS X")) { + return "DYLD_LIBRARY_PATH"; + } else { + return "LD_LIBRARY_PATH"; + } + } + + /** Returns whether the OS is Windows. */ + static boolean isWindows() { + String os = System.getProperty("os.name"); + return os.startsWith("Windows"); + } + + /** + * Updates the user environment, appending the given pathList to the existing value of the given + * environment variable (or setting it if it hasn't yet been set). + */ + static void mergeEnvPathList(Map userEnv, String envKey, String pathList) { + if (!isEmpty(pathList)) { + String current = firstNonEmpty(userEnv.get(envKey), System.getenv(envKey)); + userEnv.put(envKey, join(File.pathSeparator, current, pathList)); + } + } + + /** + * Parse a string as if it were a list of arguments, following bash semantics. + * For example: + * + * Input: "\"ab cd\" efgh 'i \" j'" + * Output: [ "ab cd", "efgh", "i \" j" ] + */ + static List parseOptionString(String s) { + List opts = new ArrayList(); + StringBuilder opt = new StringBuilder(); + boolean inOpt = false; + boolean inSingleQuote = false; + boolean inDoubleQuote = false; + boolean escapeNext = false; + + // This is needed to detect when a quoted empty string is used as an argument ("" or ''). + boolean hasData = false; + + for (int i = 0; i < s.length(); i++) { + int c = s.codePointAt(i); + if (escapeNext) { + opt.appendCodePoint(c); + escapeNext = false; + } else if (inOpt) { + switch (c) { + case '\\': + if (inSingleQuote) { + opt.appendCodePoint(c); + } else { + escapeNext = true; + } + break; + case '\'': + if (inDoubleQuote) { + opt.appendCodePoint(c); + } else { + inSingleQuote = !inSingleQuote; + } + break; + case '"': + if (inSingleQuote) { + opt.appendCodePoint(c); + } else { + inDoubleQuote = !inDoubleQuote; + } + break; + default: + if (!Character.isWhitespace(c) || inSingleQuote || inDoubleQuote) { + opt.appendCodePoint(c); + } else { + opts.add(opt.toString()); + opt.setLength(0); + inOpt = false; + hasData = false; + } + } + } else { + switch (c) { + case '\'': + inSingleQuote = true; + inOpt = true; + hasData = true; + break; + case '"': + inDoubleQuote = true; + inOpt = true; + hasData = true; + break; + case '\\': + escapeNext = true; + inOpt = true; + hasData = true; + break; + default: + if (!Character.isWhitespace(c)) { + inOpt = true; + hasData = true; + opt.appendCodePoint(c); + } + } + } + } + + checkArgument(!inSingleQuote && !inDoubleQuote && !escapeNext, "Invalid option string: %s", s); + if (hasData) { + opts.add(opt.toString()); + } + return opts; + } + + /** Throws IllegalArgumentException if the given object is null. */ + static void checkNotNull(Object o, String arg) { + if (o == null) { + throw new IllegalArgumentException(String.format("'%s' must not be null.", arg)); + } + } + + /** Throws IllegalArgumentException with the given message if the check is false. */ + static void checkArgument(boolean check, String msg, Object... args) { + if (!check) { + throw new IllegalArgumentException(String.format(msg, args)); + } + } + + /** Throws IllegalStateException with the given message if the check is false. */ + static void checkState(boolean check, String msg, Object... args) { + if (!check) { + throw new IllegalStateException(String.format(msg, args)); + } + } + + /** + * Quote a command argument for a command to be run by a Windows batch script, if the argument + * needs quoting. Arguments only seem to need quotes in batch scripts if they have certain + * special characters, some of which need extra (and different) escaping. + * + * For example: + * original single argument: ab="cde fgh" + * quoted: "ab^=""cde fgh""" + */ + static String quoteForBatchScript(String arg) { + + boolean needsQuotes = false; + for (int i = 0; i < arg.length(); i++) { + int c = arg.codePointAt(i); + if (Character.isWhitespace(c) || c == '"' || c == '=') { + needsQuotes = true; + break; + } + } + if (!needsQuotes) { + return arg; + } + StringBuilder quoted = new StringBuilder(); + quoted.append("\""); + for (int i = 0; i < arg.length(); i++) { + int cp = arg.codePointAt(i); + switch (cp) { + case '"': + quoted.append('"'); + break; + + case '=': + quoted.append('^'); + break; + + default: + break; + } + quoted.appendCodePoint(cp); + } + quoted.append("\""); + return quoted.toString(); + } + + /** + * Quotes a string so that it can be used in a command string and be parsed back into a single + * argument by python's "shlex.split()" function. + * + * Basically, just add simple escapes. E.g.: + * original single argument : ab "cd" ef + * after: "ab \"cd\" ef" + */ + static String quoteForPython(String s) { + StringBuilder quoted = new StringBuilder().append('"'); + for (int i = 0; i < s.length(); i++) { + int cp = s.codePointAt(i); + if (cp == '"' || cp == '\\') { + quoted.appendCodePoint('\\'); + } + quoted.appendCodePoint(cp); + } + return quoted.append('"').toString(); + } + +} diff --git a/launcher/src/main/java/org/apache/spark/launcher/Main.java b/launcher/src/main/java/org/apache/spark/launcher/Main.java new file mode 100644 index 0000000000000..206acfb514d86 --- /dev/null +++ b/launcher/src/main/java/org/apache/spark/launcher/Main.java @@ -0,0 +1,173 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +import static org.apache.spark.launcher.CommandBuilderUtils.*; + +/** + * Command line interface for the Spark launcher. Used internally by Spark scripts. + */ +class Main { + + /** + * Usage: Main [class] [class args] + *

+ * This CLI works in two different modes: + *

    + *
  • "spark-submit": if class is "org.apache.spark.deploy.SparkSubmit", the + * {@link SparkLauncher} class is used to launch a Spark application.
    • + *
  • "spark-class": if another class is provided, an internal Spark class is run.
    • + *
+ * + * This class works in tandem with the "bin/spark-class" script on Unix-like systems, and + * "bin/spark-class2.cmd" batch script on Windows to execute the final command. + *

+ * On Unix-like systems, the output is a list of command arguments, separated by the NULL + * character. On Windows, the output is a command line suitable for direct execution from the + * script. + */ + public static void main(String[] argsArray) throws Exception { + checkArgument(argsArray.length > 0, "Not enough arguments: missing class name."); + + List args = new ArrayList(Arrays.asList(argsArray)); + String className = args.remove(0); + + boolean printLaunchCommand; + boolean printUsage; + AbstractCommandBuilder builder; + try { + if (className.equals("org.apache.spark.deploy.SparkSubmit")) { + builder = new SparkSubmitCommandBuilder(args); + } else { + builder = new SparkClassCommandBuilder(className, args); + } + printLaunchCommand = !isEmpty(System.getenv("SPARK_PRINT_LAUNCH_COMMAND")); + printUsage = false; + } catch (IllegalArgumentException e) { + builder = new UsageCommandBuilder(e.getMessage()); + printLaunchCommand = false; + printUsage = true; + } + + Map env = new HashMap(); + List cmd = builder.buildCommand(env); + if (printLaunchCommand) { + System.err.println("Spark Command: " + join(" ", cmd)); + System.err.println("========================================"); + } + + if (isWindows()) { + // When printing the usage message, we can't use "cmd /v" since that prevents the env + // variable from being seen in the caller script. So do not call prepareWindowsCommand(). + if (printUsage) { + System.out.println(join(" ", cmd)); + } else { + System.out.println(prepareWindowsCommand(cmd, env)); + } + } else { + // In bash, use NULL as the arg separator since it cannot be used in an argument. + List bashCmd = prepareBashCommand(cmd, env); + for (String c : bashCmd) { + System.out.print(c); + System.out.print('\0'); + } + } + } + + /** + * Prepare a command line for execution from a Windows batch script. + * + * The method quotes all arguments so that spaces are handled as expected. Quotes within arguments + * are "double quoted" (which is batch for escaping a quote). This page has more details about + * quoting and other batch script fun stuff: http://ss64.com/nt/syntax-esc.html + * + * The command is executed using "cmd /c" and formatted in single line, since that's the + * easiest way to consume this from a batch script (see spark-class2.cmd). + */ + private static String prepareWindowsCommand(List cmd, Map childEnv) { + StringBuilder cmdline = new StringBuilder("cmd /c \""); + for (Map.Entry e : childEnv.entrySet()) { + cmdline.append(String.format("set %s=%s", e.getKey(), e.getValue())); + cmdline.append(" && "); + } + for (String arg : cmd) { + cmdline.append(quoteForBatchScript(arg)); + cmdline.append(" "); + } + cmdline.append("\""); + return cmdline.toString(); + } + + /** + * Prepare the command for execution from a bash script. The final command will have commands to + * set up any needed environment variables needed by the child process. + */ + private static List prepareBashCommand(List cmd, Map childEnv) { + if (childEnv.isEmpty()) { + return cmd; + } + + List newCmd = new ArrayList(); + newCmd.add("env"); + + for (Map.Entry e : childEnv.entrySet()) { + newCmd.add(String.format("%s=%s", e.getKey(), e.getValue())); + } + newCmd.addAll(cmd); + return newCmd; + } + + /** + * Internal builder used when command line parsing fails. This will behave differently depending + * on the platform: + * + * - On Unix-like systems, it will print a call to the "usage" function with two arguments: the + * the error string, and the exit code to use. The function is expected to print the command's + * usage and exit with the provided exit code. The script should use "export -f usage" after + * declaring a function called "usage", so that the function is available to downstream scripts. + * + * - On Windows it will set the variable "SPARK_LAUNCHER_USAGE_ERROR" to the usage error message. + * The batch script should check for this variable and print its usage, since batch scripts + * don't really support the "export -f" functionality used in bash. + */ + private static class UsageCommandBuilder extends AbstractCommandBuilder { + + private final String message; + + UsageCommandBuilder(String message) { + this.message = message; + } + + @Override + public List buildCommand(Map env) { + if (isWindows()) { + return Arrays.asList("set", "SPARK_LAUNCHER_USAGE_ERROR=" + message); + } else { + return Arrays.asList("usage", message, "1"); + } + } + + } + +} diff --git a/launcher/src/main/java/org/apache/spark/launcher/SparkClassCommandBuilder.java b/launcher/src/main/java/org/apache/spark/launcher/SparkClassCommandBuilder.java new file mode 100644 index 0000000000000..e601a0a19f368 --- /dev/null +++ b/launcher/src/main/java/org/apache/spark/launcher/SparkClassCommandBuilder.java @@ -0,0 +1,108 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.io.File; +import java.io.IOException; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; +import java.util.regex.Pattern; + +import static org.apache.spark.launcher.CommandBuilderUtils.*; + +/** + * Command builder for internal Spark classes. + *

+ * This class handles building the command to launch all internal Spark classes except for + * SparkSubmit (which is handled by {@link SparkSubmitCommandBuilder} class. + */ +class SparkClassCommandBuilder extends AbstractCommandBuilder { + + private final String className; + private final List classArgs; + + SparkClassCommandBuilder(String className, List classArgs) { + this.className = className; + this.classArgs = classArgs; + } + + @Override + public List buildCommand(Map env) throws IOException { + List javaOptsKeys = new ArrayList(); + String memKey = null; + String extraClassPath = null; + + // Master, Worker, and HistoryServer use SPARK_DAEMON_JAVA_OPTS (and specific opts) + + // SPARK_DAEMON_MEMORY. + if (className.equals("org.apache.spark.deploy.master.Master")) { + javaOptsKeys.add("SPARK_DAEMON_JAVA_OPTS"); + javaOptsKeys.add("SPARK_MASTER_OPTS"); + memKey = "SPARK_DAEMON_MEMORY"; + } else if (className.equals("org.apache.spark.deploy.worker.Worker")) { + javaOptsKeys.add("SPARK_DAEMON_JAVA_OPTS"); + javaOptsKeys.add("SPARK_WORKER_OPTS"); + memKey = "SPARK_DAEMON_MEMORY"; + } else if (className.equals("org.apache.spark.deploy.history.HistoryServer")) { + javaOptsKeys.add("SPARK_DAEMON_JAVA_OPTS"); + javaOptsKeys.add("SPARK_HISTORY_OPTS"); + memKey = "SPARK_DAEMON_MEMORY"; + } else if (className.equals("org.apache.spark.executor.CoarseGrainedExecutorBackend")) { + javaOptsKeys.add("SPARK_JAVA_OPTS"); + javaOptsKeys.add("SPARK_EXECUTOR_OPTS"); + memKey = "SPARK_EXECUTOR_MEMORY"; + } else if (className.equals("org.apache.spark.executor.MesosExecutorBackend")) { + javaOptsKeys.add("SPARK_EXECUTOR_OPTS"); + memKey = "SPARK_EXECUTOR_MEMORY"; + } else if (className.startsWith("org.apache.spark.tools.")) { + String sparkHome = getSparkHome(); + File toolsDir = new File(join(File.separator, sparkHome, "tools", "target", + "scala-" + getScalaVersion())); + checkState(toolsDir.isDirectory(), "Cannot find tools build directory."); + + Pattern re = Pattern.compile("spark-tools_.*\\.jar"); + for (File f : toolsDir.listFiles()) { + if (re.matcher(f.getName()).matches()) { + extraClassPath = f.getAbsolutePath(); + break; + } + } + + checkState(extraClassPath != null, + "Failed to find Spark Tools Jar in %s.\n" + + "You need to run \"build/sbt tools/package\" before running %s.", + toolsDir.getAbsolutePath(), className); + + javaOptsKeys.add("SPARK_JAVA_OPTS"); + } + + List cmd = buildJavaCommand(extraClassPath); + for (String key : javaOptsKeys) { + addOptionString(cmd, System.getenv(key)); + } + + String mem = firstNonEmpty(memKey != null ? System.getenv(memKey) : null, DEFAULT_MEM); + cmd.add("-Xms" + mem); + cmd.add("-Xmx" + mem); + addPermGenSizeOpt(cmd); + cmd.add(className); + cmd.addAll(classArgs); + return cmd; + } + +} diff --git a/launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java b/launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java new file mode 100644 index 0000000000000..b566507ee6061 --- /dev/null +++ b/launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java @@ -0,0 +1,279 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.io.File; +import java.io.IOException; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +import static org.apache.spark.launcher.CommandBuilderUtils.*; + +/** + * Launcher for Spark applications. + *

+ * Use this class to start Spark applications programmatically. The class uses a builder pattern + * to allow clients to configure the Spark application and launch it as a child process. + */ +public class SparkLauncher { + + /** The Spark master. */ + public static final String SPARK_MASTER = "spark.master"; + + /** Configuration key for the driver memory. */ + public static final String DRIVER_MEMORY = "spark.driver.memory"; + /** Configuration key for the driver class path. */ + public static final String DRIVER_EXTRA_CLASSPATH = "spark.driver.extraClassPath"; + /** Configuration key for the driver VM options. */ + public static final String DRIVER_EXTRA_JAVA_OPTIONS = "spark.driver.extraJavaOptions"; + /** Configuration key for the driver native library path. */ + public static final String DRIVER_EXTRA_LIBRARY_PATH = "spark.driver.extraLibraryPath"; + + /** Configuration key for the executor memory. */ + public static final String EXECUTOR_MEMORY = "spark.executor.memory"; + /** Configuration key for the executor class path. */ + public static final String EXECUTOR_EXTRA_CLASSPATH = "spark.executor.extraClassPath"; + /** Configuration key for the executor VM options. */ + public static final String EXECUTOR_EXTRA_JAVA_OPTIONS = "spark.executor.extraJavaOptions"; + /** Configuration key for the executor native library path. */ + public static final String EXECUTOR_EXTRA_LIBRARY_PATH = "spark.executor.extraLibraryOptions"; + /** Configuration key for the number of executor CPU cores. */ + public static final String EXECUTOR_CORES = "spark.executor.cores"; + + private final SparkSubmitCommandBuilder builder; + + public SparkLauncher() { + this(null); + } + + /** + * Creates a launcher that will set the given environment variables in the child. + * + * @param env Environment variables to set. + */ + public SparkLauncher(Map env) { + this.builder = new SparkSubmitCommandBuilder(); + if (env != null) { + this.builder.childEnv.putAll(env); + } + } + + /** + * Set a custom JAVA_HOME for launching the Spark application. + * + * @param javaHome Path to the JAVA_HOME to use. + * @return This launcher. + */ + public SparkLauncher setJavaHome(String javaHome) { + checkNotNull(javaHome, "javaHome"); + builder.javaHome = javaHome; + return this; + } + + /** + * Set a custom Spark installation location for the application. + * + * @param sparkHome Path to the Spark installation to use. + * @return This launcher. + */ + public SparkLauncher setSparkHome(String sparkHome) { + checkNotNull(sparkHome, "sparkHome"); + builder.childEnv.put(ENV_SPARK_HOME, sparkHome); + return this; + } + + /** + * Set a custom properties file with Spark configuration for the application. + * + * @param path Path to custom properties file to use. + * @return This launcher. + */ + public SparkLauncher setPropertiesFile(String path) { + checkNotNull(path, "path"); + builder.propertiesFile = path; + return this; + } + + /** + * Set a single configuration value for the application. + * + * @param key Configuration key. + * @param value The value to use. + * @return This launcher. + */ + public SparkLauncher setConf(String key, String value) { + checkNotNull(key, "key"); + checkNotNull(value, "value"); + checkArgument(key.startsWith("spark."), "'key' must start with 'spark.'"); + builder.conf.put(key, value); + return this; + } + + /** + * Set the application name. + * + * @param appName Application name. + * @return This launcher. + */ + public SparkLauncher setAppName(String appName) { + checkNotNull(appName, "appName"); + builder.appName = appName; + return this; + } + + /** + * Set the Spark master for the application. + * + * @param master Spark master. + * @return This launcher. + */ + public SparkLauncher setMaster(String master) { + checkNotNull(master, "master"); + builder.master = master; + return this; + } + + /** + * Set the deploy mode for the application. + * + * @param mode Deploy mode. + * @return This launcher. + */ + public SparkLauncher setDeployMode(String mode) { + checkNotNull(mode, "mode"); + builder.deployMode = mode; + return this; + } + + /** + * Set the main application resource. This should be the location of a jar file for Scala/Java + * applications, or a python script for PySpark applications. + * + * @param resource Path to the main application resource. + * @return This launcher. + */ + public SparkLauncher setAppResource(String resource) { + checkNotNull(resource, "resource"); + builder.appResource = resource; + return this; + } + + /** + * Sets the application class name for Java/Scala applications. + * + * @param mainClass Application's main class. + * @return This launcher. + */ + public SparkLauncher setMainClass(String mainClass) { + checkNotNull(mainClass, "mainClass"); + builder.mainClass = mainClass; + return this; + } + + /** + * Adds command line arguments for the application. + * + * @param args Arguments to pass to the application's main class. + * @return This launcher. + */ + public SparkLauncher addAppArgs(String... args) { + for (String arg : args) { + checkNotNull(arg, "arg"); + builder.appArgs.add(arg); + } + return this; + } + + /** + * Adds a jar file to be submitted with the application. + * + * @param jar Path to the jar file. + * @return This launcher. + */ + public SparkLauncher addJar(String jar) { + checkNotNull(jar, "jar"); + builder.jars.add(jar); + return this; + } + + /** + * Adds a file to be submitted with the application. + * + * @param file Path to the file. + * @return This launcher. + */ + public SparkLauncher addFile(String file) { + checkNotNull(file, "file"); + builder.files.add(file); + return this; + } + + /** + * Adds a python file / zip / egg to be submitted with the application. + * + * @param file Path to the file. + * @return This launcher. + */ + public SparkLauncher addPyFile(String file) { + checkNotNull(file, "file"); + builder.pyFiles.add(file); + return this; + } + + /** + * Enables verbose reporting for SparkSubmit. + * + * @param verbose Whether to enable verbose output. + * @return This launcher. + */ + public SparkLauncher setVerbose(boolean verbose) { + builder.verbose = verbose; + return this; + } + + /** + * Launches a sub-process that will start the configured Spark application. + * + * @return A process handle for the Spark app. + */ + public Process launch() throws IOException { + List cmd = new ArrayList(); + String script = isWindows() ? "spark-submit.cmd" : "spark-submit"; + cmd.add(join(File.separator, builder.getSparkHome(), "bin", script)); + cmd.addAll(builder.buildSparkSubmitArgs()); + + // Since the child process is a batch script, let's quote things so that special characters are + // preserved, otherwise the batch interpreter will mess up the arguments. Batch scripts are + // weird. + if (isWindows()) { + List winCmd = new ArrayList(); + for (String arg : cmd) { + winCmd.add(quoteForBatchScript(arg)); + } + cmd = winCmd; + } + + ProcessBuilder pb = new ProcessBuilder(cmd.toArray(new String[cmd.size()])); + for (Map.Entry e : builder.childEnv.entrySet()) { + pb.environment().put(e.getKey(), e.getValue()); + } + return pb.start(); + } + +} diff --git a/launcher/src/main/java/org/apache/spark/launcher/SparkSubmitCommandBuilder.java b/launcher/src/main/java/org/apache/spark/launcher/SparkSubmitCommandBuilder.java new file mode 100644 index 0000000000000..6ffdff63d3c78 --- /dev/null +++ b/launcher/src/main/java/org/apache/spark/launcher/SparkSubmitCommandBuilder.java @@ -0,0 +1,327 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.io.IOException; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Properties; + +import static org.apache.spark.launcher.CommandBuilderUtils.*; + +/** + * Special command builder for handling a CLI invocation of SparkSubmit. + *

+ * This builder adds command line parsing compatible with SparkSubmit. It handles setting + * driver-side options and special parsing behavior needed for the special-casing certain internal + * Spark applications. + *

+ * This class has also some special features to aid launching pyspark. + */ +class SparkSubmitCommandBuilder extends AbstractCommandBuilder { + + /** + * Name of the app resource used to identify the PySpark shell. The command line parser expects + * the resource name to be the very first argument to spark-submit in this case. + * + * NOTE: this cannot be "pyspark-shell" since that identifies the PySpark shell to SparkSubmit + * (see java_gateway.py), and can cause this code to enter into an infinite loop. + */ + static final String PYSPARK_SHELL = "pyspark-shell-main"; + + /** + * This is the actual resource name that identifies the PySpark shell to SparkSubmit. + */ + static final String PYSPARK_SHELL_RESOURCE = "pyspark-shell"; + + /** + * This map must match the class names for available special classes, since this modifies the way + * command line parsing works. This maps the class name to the resource to use when calling + * spark-submit. + */ + private static final Map specialClasses = new HashMap(); + static { + specialClasses.put("org.apache.spark.repl.Main", "spark-shell"); + specialClasses.put("org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver", + "spark-internal"); + specialClasses.put("org.apache.spark.sql.hive.thriftserver.HiveThriftServer2", + "spark-internal"); + } + + private final List sparkArgs; + + /** + * Controls whether mixing spark-submit arguments with app arguments is allowed. This is needed + * to parse the command lines for things like bin/spark-shell, which allows users to mix and + * match arguments (e.g. "bin/spark-shell SparkShellArg --master foo"). + */ + private boolean allowsMixedArguments; + + SparkSubmitCommandBuilder() { + this.sparkArgs = new ArrayList(); + } + + SparkSubmitCommandBuilder(List args) { + this(); + List submitArgs = args; + if (args.size() > 0 && args.get(0).equals(PYSPARK_SHELL)) { + this.allowsMixedArguments = true; + appResource = PYSPARK_SHELL_RESOURCE; + submitArgs = args.subList(1, args.size()); + } else { + this.allowsMixedArguments = false; + } + + new OptionParser().parse(submitArgs); + } + + @Override + public List buildCommand(Map env) throws IOException { + if (PYSPARK_SHELL_RESOURCE.equals(appResource)) { + return buildPySparkShellCommand(env); + } else { + return buildSparkSubmitCommand(env); + } + } + + List buildSparkSubmitArgs() { + List args = new ArrayList(); + SparkSubmitOptionParser parser = new SparkSubmitOptionParser(); + + if (verbose) { + args.add(parser.VERBOSE); + } + + if (master != null) { + args.add(parser.MASTER); + args.add(master); + } + + if (deployMode != null) { + args.add(parser.DEPLOY_MODE); + args.add(deployMode); + } + + if (appName != null) { + args.add(parser.NAME); + args.add(appName); + } + + for (Map.Entry e : conf.entrySet()) { + args.add(parser.CONF); + args.add(String.format("%s=%s", e.getKey(), e.getValue())); + } + + if (propertiesFile != null) { + args.add(parser.PROPERTIES_FILE); + args.add(propertiesFile); + } + + if (!jars.isEmpty()) { + args.add(parser.JARS); + args.add(join(",", jars)); + } + + if (!files.isEmpty()) { + args.add(parser.FILES); + args.add(join(",", files)); + } + + if (!pyFiles.isEmpty()) { + args.add(parser.PY_FILES); + args.add(join(",", pyFiles)); + } + + if (mainClass != null) { + args.add(parser.CLASS); + args.add(mainClass); + } + + args.addAll(sparkArgs); + if (appResource != null) { + args.add(appResource); + } + args.addAll(appArgs); + + return args; + } + + private List buildSparkSubmitCommand(Map env) throws IOException { + // Load the properties file and check whether spark-submit will be running the app's driver + // or just launching a cluster app. When running the driver, the JVM's argument will be + // modified to cover the driver's configuration. + Properties props = loadPropertiesFile(); + boolean isClientMode = isClientMode(props); + String extraClassPath = isClientMode ? + firstNonEmptyValue(SparkLauncher.DRIVER_EXTRA_CLASSPATH, conf, props) : null; + + List cmd = buildJavaCommand(extraClassPath); + addOptionString(cmd, System.getenv("SPARK_SUBMIT_OPTS")); + addOptionString(cmd, System.getenv("SPARK_JAVA_OPTS")); + + if (isClientMode) { + // Figuring out where the memory value come from is a little tricky due to precedence. + // Precedence is observed in the following order: + // - explicit configuration (setConf()), which also covers --driver-memory cli argument. + // - properties file. + // - SPARK_DRIVER_MEMORY env variable + // - SPARK_MEM env variable + // - default value (512m) + String memory = firstNonEmpty(firstNonEmptyValue(SparkLauncher.DRIVER_MEMORY, conf, props), + System.getenv("SPARK_DRIVER_MEMORY"), System.getenv("SPARK_MEM"), DEFAULT_MEM); + cmd.add("-Xms" + memory); + cmd.add("-Xmx" + memory); + addOptionString(cmd, firstNonEmptyValue(SparkLauncher.DRIVER_EXTRA_JAVA_OPTIONS, conf, props)); + mergeEnvPathList(env, getLibPathEnvName(), + firstNonEmptyValue(SparkLauncher.DRIVER_EXTRA_LIBRARY_PATH, conf, props)); + } + + addPermGenSizeOpt(cmd); + cmd.add("org.apache.spark.deploy.SparkSubmit"); + cmd.addAll(buildSparkSubmitArgs()); + return cmd; + } + + private List buildPySparkShellCommand(Map env) throws IOException { + // For backwards compatibility, if a script is specified in + // the pyspark command line, then run it using spark-submit. + if (!appArgs.isEmpty() && appArgs.get(0).endsWith(".py")) { + System.err.println( + "WARNING: Running python applications through 'pyspark' is deprecated as of Spark 1.0.\n" + + "Use ./bin/spark-submit "); + appResource = appArgs.get(0); + appArgs.remove(0); + return buildCommand(env); + } + + // When launching the pyspark shell, the spark-submit arguments should be stored in the + // PYSPARK_SUBMIT_ARGS env variable. The executable is the PYSPARK_DRIVER_PYTHON env variable + // set by the pyspark script, followed by PYSPARK_DRIVER_PYTHON_OPTS. + checkArgument(appArgs.isEmpty(), "pyspark does not support any application options."); + + Properties props = loadPropertiesFile(); + mergeEnvPathList(env, getLibPathEnvName(), + firstNonEmptyValue(SparkLauncher.DRIVER_EXTRA_LIBRARY_PATH, conf, props)); + + // Store spark-submit arguments in an environment variable, since there's no way to pass + // them to shell.py on the comand line. + StringBuilder submitArgs = new StringBuilder(); + for (String arg : buildSparkSubmitArgs()) { + if (submitArgs.length() > 0) { + submitArgs.append(" "); + } + submitArgs.append(quoteForPython(arg)); + } + env.put("PYSPARK_SUBMIT_ARGS", submitArgs.toString()); + + List pyargs = new ArrayList(); + pyargs.add(firstNonEmpty(System.getenv("PYSPARK_DRIVER_PYTHON"), "python")); + String pyOpts = System.getenv("PYSPARK_DRIVER_PYTHON_OPTS"); + if (!isEmpty(pyOpts)) { + pyargs.addAll(parseOptionString(pyOpts)); + } + + return pyargs; + } + + private boolean isClientMode(Properties userProps) { + String userMaster = firstNonEmpty(master, (String) userProps.get(SparkLauncher.SPARK_MASTER)); + // Default master is "local[*]", so assume client mode in that case. + return userMaster == null || + "client".equals(deployMode) || + (!userMaster.equals("yarn-cluster") && deployMode == null); + } + + private class OptionParser extends SparkSubmitOptionParser { + + private final List driverJvmKeys = Arrays.asList( + SparkLauncher.DRIVER_EXTRA_CLASSPATH, + SparkLauncher.DRIVER_EXTRA_JAVA_OPTIONS, + SparkLauncher.DRIVER_EXTRA_LIBRARY_PATH, + SparkLauncher.DRIVER_MEMORY); + + @Override + protected boolean handle(String opt, String value) { + if (opt.equals(MASTER)) { + master = value; + } else if (opt.equals(DEPLOY_MODE)) { + deployMode = value; + } else if (opt.equals(PROPERTIES_FILE)) { + propertiesFile = value; + } else if (opt.equals(DRIVER_MEMORY)) { + conf.put(SparkLauncher.DRIVER_MEMORY, value); + } else if (opt.equals(DRIVER_JAVA_OPTIONS)) { + conf.put(SparkLauncher.DRIVER_EXTRA_JAVA_OPTIONS, value); + } else if (opt.equals(DRIVER_LIBRARY_PATH)) { + conf.put(SparkLauncher.DRIVER_EXTRA_LIBRARY_PATH, value); + } else if (opt.equals(DRIVER_CLASS_PATH)) { + conf.put(SparkLauncher.DRIVER_EXTRA_CLASSPATH, value); + } else if (opt.equals(CONF)) { + String[] setConf = value.split("=", 2); + checkArgument(setConf.length == 2, "Invalid argument to %s: %s", CONF, value); + if (driverJvmKeys.contains(setConf[0])) { + conf.put(setConf[0], setConf[1]); + } + } else if (opt.equals(CLASS)) { + // The special classes require some special command line handling, since they allow + // mixing spark-submit arguments with arguments that should be propagated to the shell + // itself. Note that for this to work, the "--class" argument must come before any + // non-spark-submit arguments. + mainClass = value; + if (specialClasses.containsKey(value)) { + allowsMixedArguments = true; + appResource = specialClasses.get(value); + } + } else { + sparkArgs.add(opt); + if (value != null) { + sparkArgs.add(value); + } + } + return true; + } + + @Override + protected boolean handleUnknown(String opt) { + // When mixing arguments, add unrecognized parameters directly to the user arguments list. In + // normal mode, any unrecognized parameter triggers the end of command line parsing, and the + // parameter itself will be interpreted by SparkSubmit as the application resource. The + // remaining params will be appended to the list of SparkSubmit arguments. + if (allowsMixedArguments) { + appArgs.add(opt); + return true; + } else { + sparkArgs.add(opt); + return false; + } + } + + @Override + protected void handleExtraArgs(List extra) { + for (String arg : extra) { + sparkArgs.add(arg); + } + } + + } + +} diff --git a/launcher/src/main/java/org/apache/spark/launcher/SparkSubmitOptionParser.java b/launcher/src/main/java/org/apache/spark/launcher/SparkSubmitOptionParser.java new file mode 100644 index 0000000000000..8526d2e7cfa3f --- /dev/null +++ b/launcher/src/main/java/org/apache/spark/launcher/SparkSubmitOptionParser.java @@ -0,0 +1,224 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.util.List; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +/** + * Parser for spark-submit command line options. + *

+ * This class encapsulates the parsing code for spark-submit command line options, so that there + * is a single list of options that needs to be maintained (well, sort of, but it makes it harder + * to break things). + */ +class SparkSubmitOptionParser { + + // The following constants define the "main" name for the available options. They're defined + // to avoid copy & paste of the raw strings where they're needed. + // + // The fields are not static so that they're exposed to Scala code that uses this class. See + // SparkSubmitArguments.scala. That is also why this class is not abstract - to allow code to + // easily use these constants without having to create dummy implementations of this class. + protected final String CLASS = "--class"; + protected final String CONF = "--conf"; + protected final String DEPLOY_MODE = "--deploy-mode"; + protected final String DRIVER_CLASS_PATH = "--driver-class-path"; + protected final String DRIVER_CORES = "--driver-cores"; + protected final String DRIVER_JAVA_OPTIONS = "--driver-java-options"; + protected final String DRIVER_LIBRARY_PATH = "--driver-library-path"; + protected final String DRIVER_MEMORY = "--driver-memory"; + protected final String EXECUTOR_MEMORY = "--executor-memory"; + protected final String FILES = "--files"; + protected final String JARS = "--jars"; + protected final String KILL_SUBMISSION = "--kill"; + protected final String MASTER = "--master"; + protected final String NAME = "--name"; + protected final String PACKAGES = "--packages"; + protected final String PROPERTIES_FILE = "--properties-file"; + protected final String PROXY_USER = "--proxy-user"; + protected final String PY_FILES = "--py-files"; + protected final String REPOSITORIES = "--repositories"; + protected final String STATUS = "--status"; + protected final String TOTAL_EXECUTOR_CORES = "--total-executor-cores"; + + // Options that do not take arguments. + protected final String HELP = "--help"; + protected final String SUPERVISE = "--supervise"; + protected final String VERBOSE = "--verbose"; + protected final String VERSION = "--version"; + + // Standalone-only options. + + // YARN-only options. + protected final String ARCHIVES = "--archives"; + protected final String EXECUTOR_CORES = "--executor-cores"; + protected final String QUEUE = "--queue"; + protected final String NUM_EXECUTORS = "--num-executors"; + + /** + * This is the canonical list of spark-submit options. Each entry in the array contains the + * different aliases for the same option; the first element of each entry is the "official" + * name of the option, passed to {@link #handle(String, String)}. + *

+ * Options not listed here nor in the "switch" list below will result in a call to + * {@link $#handleUnknown(String)}. + *

+ * These two arrays are visible for tests. + */ + final String[][] opts = { + { ARCHIVES }, + { CLASS }, + { CONF, "-c" }, + { DEPLOY_MODE }, + { DRIVER_CLASS_PATH }, + { DRIVER_CORES }, + { DRIVER_JAVA_OPTIONS }, + { DRIVER_LIBRARY_PATH }, + { DRIVER_MEMORY }, + { EXECUTOR_CORES }, + { EXECUTOR_MEMORY }, + { FILES }, + { JARS }, + { KILL_SUBMISSION }, + { MASTER }, + { NAME }, + { NUM_EXECUTORS }, + { PACKAGES }, + { PROPERTIES_FILE }, + { PROXY_USER }, + { PY_FILES }, + { QUEUE }, + { REPOSITORIES }, + { STATUS }, + { TOTAL_EXECUTOR_CORES }, + }; + + /** + * List of switches (command line options that do not take parameters) recognized by spark-submit. + */ + final String[][] switches = { + { HELP, "-h" }, + { SUPERVISE }, + { VERBOSE, "-v" }, + { VERSION }, + }; + + /** + * Parse a list of spark-submit command line options. + *

+ * See SparkSubmitArguments.scala for a more formal description of available options. + * + * @throws IllegalArgumentException If an error is found during parsing. + */ + protected final void parse(List args) { + Pattern eqSeparatedOpt = Pattern.compile("(--[^=]+)=(.+)"); + + int idx = 0; + for (idx = 0; idx < args.size(); idx++) { + String arg = args.get(idx); + String value = null; + + Matcher m = eqSeparatedOpt.matcher(arg); + if (m.matches()) { + arg = m.group(1); + value = m.group(2); + } + + // Look for options with a value. + String name = findCliOption(arg, opts); + if (name != null) { + if (value == null) { + if (idx == args.size() - 1) { + throw new IllegalArgumentException( + String.format("Missing argument for option '%s'.", arg)); + } + idx++; + value = args.get(idx); + } + if (!handle(name, value)) { + break; + } + continue; + } + + // Look for a switch. + name = findCliOption(arg, switches); + if (name != null) { + if (!handle(name, null)) { + break; + } + continue; + } + + if (!handleUnknown(arg)) { + break; + } + } + + if (idx < args.size()) { + idx++; + } + handleExtraArgs(args.subList(idx, args.size())); + } + + /** + * Callback for when an option with an argument is parsed. + * + * @param opt The long name of the cli option (might differ from actual command line). + * @param value The value. This will be null if the option does not take a value. + * @return Whether to continue parsing the argument list. + */ + protected boolean handle(String opt, String value) { + throw new UnsupportedOperationException(); + } + + /** + * Callback for when an unrecognized option is parsed. + * + * @param opt Unrecognized option from the command line. + * @return Whether to continue parsing the argument list. + */ + protected boolean handleUnknown(String opt) { + throw new UnsupportedOperationException(); + } + + /** + * Callback for remaining command line arguments after either {@link #handle(String, String)} or + * {@link #handleUnknown(String)} return "false". This will be called at the end of parsing even + * when there are no remaining arguments. + * + * @param extra List of remaining arguments. + */ + protected void handleExtraArgs(List extra) { + throw new UnsupportedOperationException(); + } + + private String findCliOption(String name, String[][] available) { + for (String[] candidates : available) { + for (String candidate : candidates) { + if (candidate.equals(name)) { + return candidates[0]; + } + } + } + return null; + } + +} diff --git a/launcher/src/main/java/org/apache/spark/launcher/package-info.java b/launcher/src/main/java/org/apache/spark/launcher/package-info.java new file mode 100644 index 0000000000000..7ed756f4b8591 --- /dev/null +++ b/launcher/src/main/java/org/apache/spark/launcher/package-info.java @@ -0,0 +1,45 @@ +/* + * 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. + */ + +/** + * Library for launching Spark applications. + *

+ * This library allows applications to launch Spark programmatically. There's only one entry + * point to the library - the {@link org.apache.spark.launcher.SparkLauncher} class. + *

+ * To launch a Spark application, just instantiate a {@link org.apache.spark.launcher.SparkLauncher} + * and configure the application to run. For example: + * + * 

+ * {@code
+ *   import org.apache.spark.launcher.SparkLauncher;
+ *
+ *   public class MyLauncher {
+ *     public static void main(String[] args) throws Exception {
+ *       Process spark = new SparkLauncher()
+ *         .setAppResource("/my/app.jar")
+ *         .setMainClass("my.spark.app.Main")
+ *         .setMaster("local")
+ *         .setConf(SparkLauncher.DRIVER_MEMORY, "2g")
+ *         .launch();
+ *       spark.waitFor();
+ *     }
+ *   }
+ * }
+ *
+ */ +package org.apache.spark.launcher; diff --git a/launcher/src/test/java/org/apache/spark/launcher/CommandBuilderUtilsSuite.java b/launcher/src/test/java/org/apache/spark/launcher/CommandBuilderUtilsSuite.java new file mode 100644 index 0000000000000..dba0203867372 --- /dev/null +++ b/launcher/src/test/java/org/apache/spark/launcher/CommandBuilderUtilsSuite.java @@ -0,0 +1,101 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; + +import org.junit.Test; +import static org.junit.Assert.*; + +import static org.apache.spark.launcher.CommandBuilderUtils.*; + +public class CommandBuilderUtilsSuite { + + @Test + public void testValidOptionStrings() { + testOpt("a b c d e", Arrays.asList("a", "b", "c", "d", "e")); + testOpt("a 'b c' \"d\" e", Arrays.asList("a", "b c", "d", "e")); + testOpt("a 'b\\\"c' \"'d'\" e", Arrays.asList("a", "b\\\"c", "'d'", "e")); + testOpt("a 'b\"c' \"\\\"d\\\"\" e", Arrays.asList("a", "b\"c", "\"d\"", "e")); + testOpt(" a b c \\\\ ", Arrays.asList("a", "b", "c", "\\")); + + // Following tests ported from UtilsSuite.scala. + testOpt("", new ArrayList()); + testOpt("a", Arrays.asList("a")); + testOpt("aaa", Arrays.asList("aaa")); + testOpt("a b c", Arrays.asList("a", "b", "c")); + testOpt(" a b\t c ", Arrays.asList("a", "b", "c")); + testOpt("a 'b c'", Arrays.asList("a", "b c")); + testOpt("a 'b c' d", Arrays.asList("a", "b c", "d")); + testOpt("'b c'", Arrays.asList("b c")); + testOpt("a \"b c\"", Arrays.asList("a", "b c")); + testOpt("a \"b c\" d", Arrays.asList("a", "b c", "d")); + testOpt("\"b c\"", Arrays.asList("b c")); + testOpt("a 'b\" c' \"d' e\"", Arrays.asList("a", "b\" c", "d' e")); + testOpt("a\t'b\nc'\nd", Arrays.asList("a", "b\nc", "d")); + testOpt("a \"b\\\\c\"", Arrays.asList("a", "b\\c")); + testOpt("a \"b\\\"c\"", Arrays.asList("a", "b\"c")); + testOpt("a 'b\\\"c'", Arrays.asList("a", "b\\\"c")); + testOpt("'a'b", Arrays.asList("ab")); + testOpt("'a''b'", Arrays.asList("ab")); + testOpt("\"a\"b", Arrays.asList("ab")); + testOpt("\"a\"\"b\"", Arrays.asList("ab")); + testOpt("''", Arrays.asList("")); + testOpt("\"\"", Arrays.asList("")); + } + + @Test + public void testInvalidOptionStrings() { + testInvalidOpt("\\"); + testInvalidOpt("\"abcde"); + testInvalidOpt("'abcde"); + } + + @Test + public void testWindowsBatchQuoting() { + assertEquals("abc", quoteForBatchScript("abc")); + assertEquals("\"a b c\"", quoteForBatchScript("a b c")); + assertEquals("\"a \"\"b\"\" c\"", quoteForBatchScript("a \"b\" c")); + assertEquals("\"a\"\"b\"\"c\"", quoteForBatchScript("a\"b\"c")); + assertEquals("\"ab^=\"\"cd\"\"\"", quoteForBatchScript("ab=\"cd\"")); + } + + @Test + public void testPythonArgQuoting() { + assertEquals("\"abc\"", quoteForPython("abc")); + assertEquals("\"a b c\"", quoteForPython("a b c")); + assertEquals("\"a \\\"b\\\" c\"", quoteForPython("a \"b\" c")); + } + + private void testOpt(String opts, List expected) { + assertEquals(String.format("test string failed to parse: [[ %s ]]", opts), + expected, parseOptionString(opts)); + } + + private void testInvalidOpt(String opts) { + try { + parseOptionString(opts); + fail("Expected exception for invalid option string."); + } catch (IllegalArgumentException e) { + // pass. + } + } + +} diff --git a/launcher/src/test/java/org/apache/spark/launcher/SparkLauncherSuite.java b/launcher/src/test/java/org/apache/spark/launcher/SparkLauncherSuite.java new file mode 100644 index 0000000000000..252d5abae1ca3 --- /dev/null +++ b/launcher/src/test/java/org/apache/spark/launcher/SparkLauncherSuite.java @@ -0,0 +1,94 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.io.BufferedReader; +import java.io.InputStream; +import java.io.InputStreamReader; +import java.util.HashMap; +import java.util.Map; + +import org.junit.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import static org.junit.Assert.*; + +/** + * These tests require the Spark assembly to be built before they can be run. + */ +public class SparkLauncherSuite { + + private static final Logger LOG = LoggerFactory.getLogger(SparkLauncherSuite.class); + + @Test + public void testChildProcLauncher() throws Exception { + Map env = new HashMap(); + env.put("SPARK_PRINT_LAUNCH_COMMAND", "1"); + + SparkLauncher launcher = new SparkLauncher(env) + .setSparkHome(System.getProperty("spark.test.home")) + .setMaster("local") + .setAppResource("spark-internal") + .setConf(SparkLauncher.DRIVER_EXTRA_JAVA_OPTIONS, + "-Dfoo=bar -Dtest.name=-testChildProcLauncher") + .setConf(SparkLauncher.DRIVER_EXTRA_CLASSPATH, System.getProperty("java.class.path")) + .setMainClass(SparkLauncherTestApp.class.getName()) + .addAppArgs("proc"); + final Process app = launcher.launch(); + new Redirector("stdout", app.getInputStream()).start(); + new Redirector("stderr", app.getErrorStream()).start(); + assertEquals(0, app.waitFor()); + } + + public static class SparkLauncherTestApp { + + public static void main(String[] args) throws Exception { + assertEquals(1, args.length); + assertEquals("proc", args[0]); + assertEquals("bar", System.getProperty("foo")); + assertEquals("local", System.getProperty(SparkLauncher.SPARK_MASTER)); + } + + } + + private static class Redirector extends Thread { + + private final InputStream in; + + Redirector(String name, InputStream in) { + this.in = in; + setName(name); + setDaemon(true); + } + + @Override + public void run() { + try { + BufferedReader reader = new BufferedReader(new InputStreamReader(in, "UTF-8")); + String line; + while ((line = reader.readLine()) != null) { + LOG.warn(line); + } + } catch (Exception e) { + LOG.error("Error reading process output.", e); + } + } + + } + +} diff --git a/launcher/src/test/java/org/apache/spark/launcher/SparkSubmitCommandBuilderSuite.java b/launcher/src/test/java/org/apache/spark/launcher/SparkSubmitCommandBuilderSuite.java new file mode 100644 index 0000000000000..815edc4e4971f --- /dev/null +++ b/launcher/src/test/java/org/apache/spark/launcher/SparkSubmitCommandBuilderSuite.java @@ -0,0 +1,278 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.io.File; +import java.util.Arrays; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.regex.Pattern; + +import org.junit.AfterClass; +import org.junit.BeforeClass; +import org.junit.Test; +import static org.junit.Assert.*; + +public class SparkSubmitCommandBuilderSuite { + + private static File dummyPropsFile; + private static SparkSubmitOptionParser parser; + + @BeforeClass + public static void setUp() throws Exception { + dummyPropsFile = File.createTempFile("spark", "properties"); + parser = new SparkSubmitOptionParser(); + } + + @AfterClass + public static void cleanUp() throws Exception { + dummyPropsFile.delete(); + } + + @Test + public void testDriverCmdBuilder() throws Exception { + testCmdBuilder(true); + } + + @Test + public void testClusterCmdBuilder() throws Exception { + testCmdBuilder(false); + } + + @Test + public void testCliParser() throws Exception { + List sparkSubmitArgs = Arrays.asList( + parser.MASTER, + "local", + parser.DRIVER_MEMORY, + "42g", + parser.DRIVER_CLASS_PATH, + "/driverCp", + parser.DRIVER_JAVA_OPTIONS, + "extraJavaOpt", + parser.CONF, + SparkLauncher.DRIVER_EXTRA_LIBRARY_PATH + "=/driverLibPath"); + Map env = new HashMap(); + List cmd = buildCommand(sparkSubmitArgs, env); + + assertTrue(findInStringList(env.get(CommandBuilderUtils.getLibPathEnvName()), + File.pathSeparator, "/driverLibPath")); + assertTrue(findInStringList(findArgValue(cmd, "-cp"), File.pathSeparator, "/driverCp")); + assertTrue("Driver -Xms should be configured.", cmd.contains("-Xms42g")); + assertTrue("Driver -Xmx should be configured.", cmd.contains("-Xmx42g")); + } + + @Test + public void testShellCliParser() throws Exception { + List sparkSubmitArgs = Arrays.asList( + parser.CLASS, + "org.apache.spark.repl.Main", + parser.MASTER, + "foo", + "--app-arg", + "bar", + "--app-switch", + parser.FILES, + "baz", + parser.NAME, + "appName"); + + List args = new SparkSubmitCommandBuilder(sparkSubmitArgs).buildSparkSubmitArgs(); + List expected = Arrays.asList("spark-shell", "--app-arg", "bar", "--app-switch"); + assertEquals(expected, args.subList(args.size() - expected.size(), args.size())); + } + + @Test + public void testAlternateSyntaxParsing() throws Exception { + List sparkSubmitArgs = Arrays.asList( + parser.CLASS + "=org.my.Class", + parser.MASTER + "=foo", + parser.DEPLOY_MODE + "=bar"); + + List cmd = new SparkSubmitCommandBuilder(sparkSubmitArgs).buildSparkSubmitArgs(); + assertEquals("org.my.Class", findArgValue(cmd, parser.CLASS)); + assertEquals("foo", findArgValue(cmd, parser.MASTER)); + assertEquals("bar", findArgValue(cmd, parser.DEPLOY_MODE)); + } + + @Test + public void testPySparkLauncher() throws Exception { + List sparkSubmitArgs = Arrays.asList( + SparkSubmitCommandBuilder.PYSPARK_SHELL, + "--master=foo", + "--deploy-mode=bar"); + + Map env = new HashMap(); + List cmd = buildCommand(sparkSubmitArgs, env); + assertEquals("python", cmd.get(cmd.size() - 1)); + assertEquals( + String.format("\"%s\" \"foo\" \"%s\" \"bar\" \"%s\"", + parser.MASTER, parser.DEPLOY_MODE, SparkSubmitCommandBuilder.PYSPARK_SHELL_RESOURCE), + env.get("PYSPARK_SUBMIT_ARGS")); + } + + @Test + public void testPySparkFallback() throws Exception { + List sparkSubmitArgs = Arrays.asList( + "--master=foo", + "--deploy-mode=bar", + "script.py", + "arg1"); + + Map env = new HashMap(); + List cmd = buildCommand(sparkSubmitArgs, env); + + assertEquals("foo", findArgValue(cmd, "--master")); + assertEquals("bar", findArgValue(cmd, "--deploy-mode")); + assertEquals("script.py", cmd.get(cmd.size() - 2)); + assertEquals("arg1", cmd.get(cmd.size() - 1)); + } + + private void testCmdBuilder(boolean isDriver) throws Exception { + String deployMode = isDriver ? "client" : "cluster"; + + SparkSubmitCommandBuilder launcher = + new SparkSubmitCommandBuilder(Collections.emptyList()); + launcher.childEnv.put(CommandBuilderUtils.ENV_SPARK_HOME, + System.getProperty("spark.test.home")); + launcher.master = "yarn"; + launcher.deployMode = deployMode; + launcher.appResource = "/foo"; + launcher.appName = "MyApp"; + launcher.mainClass = "my.Class"; + launcher.propertiesFile = dummyPropsFile.getAbsolutePath(); + launcher.appArgs.add("foo"); + launcher.appArgs.add("bar"); + launcher.conf.put(SparkLauncher.DRIVER_MEMORY, "1g"); + launcher.conf.put(SparkLauncher.DRIVER_EXTRA_CLASSPATH, "/driver"); + launcher.conf.put(SparkLauncher.DRIVER_EXTRA_JAVA_OPTIONS, "-Ddriver -XX:MaxPermSize=256m"); + launcher.conf.put(SparkLauncher.DRIVER_EXTRA_LIBRARY_PATH, "/native"); + launcher.conf.put("spark.foo", "foo"); + + Map env = new HashMap(); + List cmd = launcher.buildCommand(env); + + // Checks below are different for driver and non-driver mode. + + if (isDriver) { + assertTrue("Driver -Xms should be configured.", cmd.contains("-Xms1g")); + assertTrue("Driver -Xmx should be configured.", cmd.contains("-Xmx1g")); + } else { + boolean found = false; + for (String arg : cmd) { + if (arg.startsWith("-Xms") || arg.startsWith("-Xmx")) { + found = true; + break; + } + } + assertFalse("Memory arguments should not be set.", found); + } + + for (String arg : cmd) { + if (arg.startsWith("-XX:MaxPermSize=")) { + if (isDriver) { + assertEquals("-XX:MaxPermSize=256m", arg); + } else { + assertEquals("-XX:MaxPermSize=128m", arg); + } + } + } + + String[] cp = findArgValue(cmd, "-cp").split(Pattern.quote(File.pathSeparator)); + if (isDriver) { + assertTrue("Driver classpath should contain provided entry.", contains("/driver", cp)); + } else { + assertFalse("Driver classpath should not be in command.", contains("/driver", cp)); + } + + String libPath = env.get(CommandBuilderUtils.getLibPathEnvName()); + if (isDriver) { + assertNotNull("Native library path should be set.", libPath); + assertTrue("Native library path should contain provided entry.", + contains("/native", libPath.split(Pattern.quote(File.pathSeparator)))); + } else { + assertNull("Native library should not be set.", libPath); + } + + // Checks below are the same for both driver and non-driver mode. + assertEquals(dummyPropsFile.getAbsolutePath(), findArgValue(cmd, parser.PROPERTIES_FILE)); + assertEquals("yarn", findArgValue(cmd, parser.MASTER)); + assertEquals(deployMode, findArgValue(cmd, parser.DEPLOY_MODE)); + assertEquals("my.Class", findArgValue(cmd, parser.CLASS)); + assertEquals("MyApp", findArgValue(cmd, parser.NAME)); + + boolean appArgsOk = false; + for (int i = 0; i < cmd.size(); i++) { + if (cmd.get(i).equals("/foo")) { + assertEquals("foo", cmd.get(i + 1)); + assertEquals("bar", cmd.get(i + 2)); + assertEquals(cmd.size(), i + 3); + appArgsOk = true; + break; + } + } + assertTrue("App resource and args should be added to command.", appArgsOk); + + Map conf = parseConf(cmd, parser); + assertEquals("foo", conf.get("spark.foo")); + } + + private boolean contains(String needle, String[] haystack) { + for (String entry : haystack) { + if (entry.equals(needle)) { + return true; + } + } + return false; + } + + private Map parseConf(List cmd, SparkSubmitOptionParser parser) { + Map conf = new HashMap(); + for (int i = 0; i < cmd.size(); i++) { + if (cmd.get(i).equals(parser.CONF)) { + String[] val = cmd.get(i + 1).split("=", 2); + conf.put(val[0], val[1]); + i += 1; + } + } + return conf; + } + + private String findArgValue(List cmd, String name) { + for (int i = 0; i < cmd.size(); i++) { + if (cmd.get(i).equals(name)) { + return cmd.get(i + 1); + } + } + fail(String.format("arg '%s' not found", name)); + return null; + } + + private boolean findInStringList(String list, String sep, String needle) { + return contains(needle, list.split(sep)); + } + + private List buildCommand(List args, Map env) throws Exception { + SparkSubmitCommandBuilder builder = new SparkSubmitCommandBuilder(args); + builder.childEnv.put(CommandBuilderUtils.ENV_SPARK_HOME, System.getProperty("spark.test.home")); + return builder.buildCommand(env); + } + +} diff --git a/launcher/src/test/java/org/apache/spark/launcher/SparkSubmitOptionParserSuite.java b/launcher/src/test/java/org/apache/spark/launcher/SparkSubmitOptionParserSuite.java new file mode 100644 index 0000000000000..f3d2109917056 --- /dev/null +++ b/launcher/src/test/java/org/apache/spark/launcher/SparkSubmitOptionParserSuite.java @@ -0,0 +1,108 @@ +/* + * 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. + */ + +package org.apache.spark.launcher; + +import java.util.Arrays; +import java.util.Collections; +import java.util.List; + +import org.junit.Before; +import org.junit.Test; +import static org.junit.Assert.*; +import static org.mockito.Mockito.*; + +import static org.apache.spark.launcher.SparkSubmitOptionParser.*; + +public class SparkSubmitOptionParserSuite { + + private SparkSubmitOptionParser parser; + + @Before + public void setUp() { + parser = spy(new DummyParser()); + } + + @Test + public void testAllOptions() { + int count = 0; + for (String[] optNames : parser.opts) { + for (String optName : optNames) { + String value = optName + "-value"; + parser.parse(Arrays.asList(optName, value)); + count++; + verify(parser).handle(eq(optNames[0]), eq(value)); + verify(parser, times(count)).handle(anyString(), anyString()); + verify(parser, times(count)).handleExtraArgs(eq(Collections.emptyList())); + } + } + + for (String[] switchNames : parser.switches) { + int switchCount = 0; + for (String name : switchNames) { + parser.parse(Arrays.asList(name)); + count++; + switchCount++; + verify(parser, times(switchCount)).handle(eq(switchNames[0]), same((String) null)); + verify(parser, times(count)).handle(anyString(), any(String.class)); + verify(parser, times(count)).handleExtraArgs(eq(Collections.emptyList())); + } + } + } + + @Test + public void testExtraOptions() { + List args = Arrays.asList(parser.MASTER, parser.MASTER, "foo", "bar"); + parser.parse(args); + verify(parser).handle(eq(parser.MASTER), eq(parser.MASTER)); + verify(parser).handleUnknown(eq("foo")); + verify(parser).handleExtraArgs(eq(Arrays.asList("bar"))); + } + + @Test(expected=IllegalArgumentException.class) + public void testMissingArg() { + parser.parse(Arrays.asList(parser.MASTER)); + } + + @Test + public void testEqualSeparatedOption() { + List args = Arrays.asList(parser.MASTER + "=" + parser.MASTER); + parser.parse(args); + verify(parser).handle(eq(parser.MASTER), eq(parser.MASTER)); + verify(parser).handleExtraArgs(eq(Collections.emptyList())); + } + + private static class DummyParser extends SparkSubmitOptionParser { + + @Override + protected boolean handle(String opt, String value) { + return true; + } + + @Override + protected boolean handleUnknown(String opt) { + return false; + } + + @Override + protected void handleExtraArgs(List extra) { + + } + + } + +} diff --git a/launcher/src/test/resources/log4j.properties b/launcher/src/test/resources/log4j.properties new file mode 100644 index 0000000000000..00c20ad69cd4d --- /dev/null +++ b/launcher/src/test/resources/log4j.properties @@ -0,0 +1,31 @@ +# +# 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. +# + +# Set everything to be logged to the file core/target/unit-tests.log +log4j.rootCategory=INFO, file +log4j.appender.file=org.apache.log4j.FileAppender +log4j.appender.file.append=false + +# Some tests will set "test.name" to avoid overwriting the main log file. +log4j.appender.file.file=target/unit-tests${test.name}.log + +log4j.appender.file.layout=org.apache.log4j.PatternLayout +log4j.appender.file.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss.SSS} %t %p %c{1}: %m%n + +# Ignore messages below warning level from Jetty, because it's a bit verbose +log4j.logger.org.eclipse.jetty=WARN +org.eclipse.jetty.LEVEL=WARN diff --git a/make-distribution.sh b/make-distribution.sh index dd990d4b96e46..82d33408cd5e5 100755 --- a/make-distribution.sh +++ b/make-distribution.sh @@ -127,6 +127,7 @@ if [ ! $(command -v "$MVN") ] ; then fi VERSION=$("$MVN" help:evaluate -Dexpression=project.version 2>/dev/null | grep -v "INFO" | tail -n 1) +SCALA_VERSION=$("$MVN" help:evaluate -Dexpression=scala.binary.version 2>/dev/null | grep -v "INFO" | tail -n 1) SPARK_HADOOP_VERSION=$("$MVN" help:evaluate -Dexpression=hadoop.version $@ 2>/dev/null\ | grep -v "INFO"\ | tail -n 1) @@ -196,6 +197,7 @@ echo "Build flags: $@" >> "$DISTDIR/RELEASE" # Copy jars cp "$SPARK_HOME"/assembly/target/scala*/*assembly*hadoop*.jar "$DISTDIR/lib/" cp "$SPARK_HOME"/examples/target/scala*/spark-examples*.jar "$DISTDIR/lib/" +cp "$SPARK_HOME"/launcher/target/spark-launcher_$SCALA_VERSION-$VERSION.jar "$DISTDIR/lib/" # This will fail if the -Pyarn profile is not provided # In this case, silence the error and ignore the return code of this command cp "$SPARK_HOME"/network/yarn/target/scala*/spark-*-yarn-shuffle.jar "$DISTDIR/lib/" &> /dev/null || : diff --git a/pom.xml b/pom.xml index 51bef30f9ca8f..a19da73cf45b3 100644 --- a/pom.xml +++ b/pom.xml @@ -105,6 +105,7 @@ external/zeromq examples repl + launcher @@ -1195,7 +1196,7 @@ true - ${session.executionRootDirectory} + ${spark.test.home} 1 false false diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala index 4f17df59f4c1f..35e748f26bbaa 100644 --- a/project/SparkBuild.scala +++ b/project/SparkBuild.scala @@ -34,11 +34,11 @@ object BuildCommons { val allProjects@Seq(bagel, catalyst, core, graphx, hive, hiveThriftServer, mllib, repl, sql, networkCommon, networkShuffle, streaming, streamingFlumeSink, streamingFlume, streamingKafka, - streamingMqtt, streamingTwitter, streamingZeromq) = + streamingMqtt, streamingTwitter, streamingZeromq, launcher) = Seq("bagel", "catalyst", "core", "graphx", "hive", "hive-thriftserver", "mllib", "repl", "sql", "network-common", "network-shuffle", "streaming", "streaming-flume-sink", "streaming-flume", "streaming-kafka", "streaming-mqtt", "streaming-twitter", - "streaming-zeromq").map(ProjectRef(buildLocation, _)) + "streaming-zeromq", "launcher").map(ProjectRef(buildLocation, _)) val optionallyEnabledProjects@Seq(yarn, yarnStable, java8Tests, sparkGangliaLgpl, sparkKinesisAsl) = Seq("yarn", "yarn-stable", "java8-tests", "ganglia-lgpl", @@ -155,8 +155,9 @@ object SparkBuild extends PomBuild { (allProjects ++ optionallyEnabledProjects).foreach(enable(TestSettings.settings)) // TODO: Add Sql to mima checks + // TODO: remove launcher from this list after 1.3. allProjects.filterNot(x => Seq(spark, sql, hive, hiveThriftServer, catalyst, repl, - networkCommon, networkShuffle, networkYarn).contains(x)).foreach { + networkCommon, networkShuffle, networkYarn, launcher).contains(x)).foreach { x => enable(MimaBuild.mimaSettings(sparkHome, x))(x) } diff --git a/python/pyspark/java_gateway.py b/python/pyspark/java_gateway.py index 936857e75c7e9..43d2cf5171880 100644 --- a/python/pyspark/java_gateway.py +++ b/python/pyspark/java_gateway.py @@ -41,7 +41,7 @@ def launch_gateway(): submit_args = os.environ.get("PYSPARK_SUBMIT_ARGS") submit_args = submit_args if submit_args is not None else "" submit_args = shlex.split(submit_args) - command = [os.path.join(SPARK_HOME, script)] + submit_args + ["pyspark-shell"] + command = [os.path.join(SPARK_HOME, script)] + submit_args # Start a socket that will be used by PythonGatewayServer to communicate its port to us callback_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) @@ -58,7 +58,6 @@ def launch_gateway(): # Don't send ctrl-c / SIGINT to the Java gateway: def preexec_func(): signal.signal(signal.SIGINT, signal.SIG_IGN) - env["IS_SUBPROCESS"] = "1" # tell JVM to exit after python exits proc = Popen(command, stdin=PIPE, preexec_fn=preexec_func, env=env) else: # preexec_fn not supported on Windows diff --git a/sbin/spark-daemon.sh b/sbin/spark-daemon.sh index 5e812a1d91c6b..92e76a3fe6ca2 100755 --- a/sbin/spark-daemon.sh +++ b/sbin/spark-daemon.sh @@ -121,45 +121,63 @@ if [ "$SPARK_NICENESS" = "" ]; then export SPARK_NICENESS=0 fi +run_command() { + mode="$1" + shift -case $option in + mkdir -p "$SPARK_PID_DIR" - (start|spark-submit) + if [ -f "$pid" ]; then + TARGET_ID="$(cat "$pid")" + if [[ $(ps -p "$TARGET_ID" -o args=) =~ $command ]]; then + echo "$command running as process $TARGET_ID. Stop it first." + exit 1 + fi + fi - mkdir -p "$SPARK_PID_DIR" + if [ "$SPARK_MASTER" != "" ]; then + echo rsync from "$SPARK_MASTER" + rsync -a -e ssh --delete --exclude=.svn --exclude='logs/*' --exclude='contrib/hod/logs/*' "$SPARK_MASTER/" "$SPARK_HOME" + fi - if [ -f $pid ]; then - TARGET_ID="$(cat "$pid")" - if [[ $(ps -p "$TARGET_ID" -o args=) =~ $command ]]; then - echo "$command running as process $TARGET_ID. Stop it first." - exit 1 - fi - fi + spark_rotate_log "$log" + echo "starting $command, logging to $log" + + case "$mode" in + (class) + nohup nice -n "$SPARK_NICENESS" "$SPARK_PREFIX"/bin/spark-class $command "$@" >> "$log" 2>&1 < /dev/null & + newpid="$!" + ;; + + (submit) + nohup nice -n "$SPARK_NICENESS" "$SPARK_PREFIX"/bin/spark-submit --class $command "$@" >> "$log" 2>&1 < /dev/null & + newpid="$!" + ;; + + (*) + echo "unknown mode: $mode" + exit 1 + ;; + esac + + echo "$newpid" > "$pid" + sleep 2 + # Check if the process has died; in that case we'll tail the log so the user can see + if [[ ! $(ps -p "$newpid" -o args=) =~ $command ]]; then + echo "failed to launch $command:" + tail -2 "$log" | sed 's/^/ /' + echo "full log in $log" + fi +} - if [ "$SPARK_MASTER" != "" ]; then - echo rsync from "$SPARK_MASTER" - rsync -a -e ssh --delete --exclude=.svn --exclude='logs/*' --exclude='contrib/hod/logs/*' $SPARK_MASTER/ "$SPARK_HOME" - fi +case $option in - spark_rotate_log "$log" - echo "starting $command, logging to $log" - if [ $option == spark-submit ]; then - source "$SPARK_HOME"/bin/utils.sh - gatherSparkSubmitOpts "$@" - nohup nice -n $SPARK_NICENESS "$SPARK_PREFIX"/bin/spark-submit --class $command \ - "${SUBMISSION_OPTS[@]}" spark-internal "${APPLICATION_OPTS[@]}" >> "$log" 2>&1 < /dev/null & - else - nohup nice -n $SPARK_NICENESS "$SPARK_PREFIX"/bin/spark-class $command "$@" >> "$log" 2>&1 < /dev/null & - fi - newpid=$! - echo $newpid > $pid - sleep 2 - # Check if the process has died; in that case we'll tail the log so the user can see - if [[ ! $(ps -p "$newpid" -o args=) =~ $command ]]; then - echo "failed to launch $command:" - tail -2 "$log" | sed 's/^/ /' - echo "full log in $log" - fi + (submit) + run_command submit "$@" + ;; + + (start) + run_command class "$@" ;; (stop) diff --git a/sbin/start-thriftserver.sh b/sbin/start-thriftserver.sh index 070cc7a87e6f2..5b0aeb177fff3 100755 --- a/sbin/start-thriftserver.sh +++ b/sbin/start-thriftserver.sh @@ -52,4 +52,4 @@ fi export SUBMIT_USAGE_FUNCTION=usage -exec "$FWDIR"/sbin/spark-daemon.sh spark-submit $CLASS 1 "$@" +exec "$FWDIR"/sbin/spark-daemon.sh submit $CLASS 1 "$@"