#!/usr/bin/env bash## Licensed to the Apache Software Foundation (ASF) under one or more# contributor license agreements.  See the NOTICE file distributed with# this work for additional information regarding copyright ownership.# The ASF licenses this file to You under the Apache License, Version 2.0# (the "License"); you may not use this file except in compliance with# the License.  You may obtain a copy of the License at##    http://www.apache.org/licenses/LICENSE-2.0## Unless required by applicable law or agreed to in writing, software# distributed under the License is distributed on an "AS IS" BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.# See the License for the specific language governing permissions and# limitations under the License.## NOTE: Any changes to this file must be reflected in SparkSubmitDriverBootstrapper.scala!#判断是否是cygwin环境cygwin=falsecase "`uname`" in    CYGWIN*) cygwin=true;;esacSCALA_VERSION=2.10# Figure out where Spark is installed#进去到SPark的安装目录FWDIR="$(cd `dirname $0`/..; pwd)"# Export this as SPARK_HOME# 生成SPARK_HOME环境变量export SPARK_HOME="$FWDIR"#执行load-spark-env.sh脚本，主要功能为：#执行spark-env.sh#spark-env.sh的主要内容为一些程序过程中的配置和路径的环境变量. $FWDIR/bin/load-spark-env.sh#如果没有参数的话执行以下内容if [ -z "$1" ]; then  echo "Usage: spark-class <class> [<args>]" 1>&2  exit 1fi#如果SPARK_MEM不为nullif [ -n "$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>&2fi# Use SPARK_MEM or 512m as the default memory, to be overridden by specific options#默认SPARK_MEM的大小为512MDEFAULT_MEM=${SPARK_MEM:-512m}SPARK_DAEMON_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS -Dspark.akka.logLifecycleEvents=true"#注意SPARK_DRIVER_MEMORY从spark-env.sh的配置文件中读取SPARK_DRIVER_MEMORY参数# Add java opts and memory settings for master, worker, history server, executors, and repl.case "$1" in  # Master, Worker, and HistoryServer use SPARK_DAEMON_JAVA_OPTS (and specific opts) + SPARK_DAEMON_MEMORY.  ‘org.apache.spark.deploy.master.Master‘)    OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_MASTER_OPTS"    OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM}    ;;  ‘org.apache.spark.deploy.worker.Worker‘)    OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_WORKER_OPTS"    OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM}    ;;  ‘org.apache.spark.deploy.history.HistoryServer‘)    OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_HISTORY_OPTS"    OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM}    ;;  # Executors use SPARK_JAVA_OPTS + SPARK_EXECUTOR_MEMORY.  ‘org.apache.spark.executor.CoarseGrainedExecutorBackend‘)    OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_EXECUTOR_OPTS"    OUR_JAVA_MEM=${SPARK_EXECUTOR_MEMORY:-$DEFAULT_MEM}    ;;  ‘org.apache.spark.executor.MesosExecutorBackend‘)    OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_EXECUTOR_OPTS"    OUR_JAVA_MEM=${SPARK_EXECUTOR_MEMORY:-$DEFAULT_MEM}    ;;  # Spark submit uses SPARK_JAVA_OPTS + SPARK_SUBMIT_OPTS +  # SPARK_DRIVER_MEMORY + SPARK_SUBMIT_DRIVER_MEMORY.  ‘org.apache.spark.deploy.SparkSubmit‘)    OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_SUBMIT_OPTS"    OUR_JAVA_MEM=${SPARK_DRIVER_MEMORY:-$DEFAULT_MEM}    if [ -n "$SPARK_SUBMIT_LIBRARY_PATH" ]; then      OUR_JAVA_OPTS="$OUR_JAVA_OPTS -Djava.library.path=$SPARK_SUBMIT_LIBRARY_PATH"    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:-$DEFAULT_MEM}    ;;esac#找到java的安装目录# Find the java binaryif [ -n "${JAVA_HOME}" ]; then  RUNNER="${JAVA_HOME}/bin/java"else  if [ `command -v java` ]; then    RUNNER="java"  else    echo "JAVA_HOME is not set" >&2    exit 1  fifi# Set JAVA_OPTS to be able to load native libraries and to set heap sizeJAVA_OPTS="-XX:MaxPermSize=128m $OUR_JAVA_OPTS"JAVA_OPTS="$JAVA_OPTS -Xms$OUR_JAVA_MEM -Xmx$OUR_JAVA_MEM"# Load extra JAVA_OPTS from conf/java-opts, if it existsif [ -e "$FWDIR/conf/java-opts" ] ; then  JAVA_OPTS="$JAVA_OPTS `cat $FWDIR/conf/java-opts`"fi# Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in CommandUtils.scala!TOOLS_DIR="$FWDIR"/toolsSPARK_TOOLS_JAR=""if [ -e "$TOOLS_DIR"/target/scala-$SCALA_VERSION/spark-tools*[0-9Tg].jar ]; then  # Use the JAR from the SBT build  export SPARK_TOOLS_JAR=`ls "$TOOLS_DIR"/target/scala-$SCALA_VERSION/spark-tools*[0-9Tg].jar`fiif [ -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 scriptclasspath_output=$($FWDIR/bin/compute-classpath.sh)if [[ "$?" != "0" ]]; then  echo "$classpath_output"  exit 1else  CLASSPATH=$classpath_outputfiif [[ "$1" =~ org.apache.spark.tools.* ]]; then  if test -z "$SPARK_TOOLS_JAR"; then    echo "Failed to find Spark Tools Jar in $FWDIR/tools/target/scala-$SCALA_VERSION/" 1>&2    echo "You need to build spark before running $1." 1>&2    exit 1  fi  CLASSPATH="$CLASSPATH:$SPARK_TOOLS_JAR"fiif $cygwin; then  CLASSPATH=`cygpath -wp $CLASSPATH`  if [ "$1" == "org.apache.spark.tools.JavaAPICompletenessChecker" ]; then    export SPARK_TOOLS_JAR=`cygpath -w $SPARK_TOOLS_JAR`  fifiexport CLASSPATH# In Spark submit client mode, the driver is launched in the same JVM as Spark submit itself.# Here we must parse the properties file for relevant "spark.driver.*" configs before launching# the driver JVM itself. Instead of handling this complexity in Bash, we launch a separate JVM# to prepare the launch environment of this driver JVM.# 最终调用org.apache.spark.deploy.SparkSubmit类if [ -n "$SPARK_SUBMIT_BOOTSTRAP_DRIVER" ]; then  # This is used only if the properties file actually contains these special configs  # Export the environment variables needed by SparkSubmitDriverBootstrapper  export RUNNER  export CLASSPATH  export JAVA_OPTS  export OUR_JAVA_MEM  export SPARK_CLASS=1  shift # Ignore main class (org.apache.spark.deploy.SparkSubmit) and use our own  exec "$RUNNER" org.apache.spark.deploy.SparkSubmitDriverBootstrapper "$@"else  # Note: The format of this command is closely echoed in SparkSubmitDriverBootstrapper.scala  if [ -n "$SPARK_PRINT_LAUNCH_COMMAND" ]; then    echo -n "Spark Command: " 1>&2    echo "$RUNNER"    #E:\Program Files\Java\jdk1.7.0_79/bin/java    echo "$CLASSPATH" #E:\cygwin64\home\hadoop2\hive\lib\mysql-connector-java-5.1.21-bin.jar;E:\cygwin64\home\hadoop2\hive\conf\hive-site.xml;E:\cygwin64\home\hadoop2\spark-1.1.0-bin-hadoop2.4\lib\datanucleus-core-3.2.2.jar;E:\cygwin64\home\hadoop2\spark-1.1.0-bin-hadoop2.4\lib\datanucleus-api-jdo-3.2.1.jar;E:\cygwin64\home\hadoop2\spark-1.1.0-bin-hadoop2.4\lib\datanucleus-rdbms-3.2.1.jar;.;E:\cygwin64\usr\local\spark-1.1.0-bin-hadoop2.4\conf;E:\cygwin64\usr\local\spark-1.1.0-bin-hadoop2.4\lib\spark-assembly-1.1.0-hadoop2.4.0.jar;E:\cygwin64\home\hadoop2\hadoop-2.5.2\etc\hadoop    echo $JAVA_OPTS   #-XX:MaxPermSize=512m -Djline.terminal=unix -Xms2048M -Xmx2048M    echo "$@"         #org.apache.spark.deploy.SparkSubmit --class org.apache.spark.repl.Main spark-shell    echo "$RUNNER" -cp "$CLASSPATH" $JAVA_OPTS "$@" 1>&2    echo -e "========================================\n" 1>&2  fi  exec "$RUNNER" -cp "$CLASSPATH" $JAVA_OPTS "$@"fi