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Spark学习之路（十五）SparkCore的源码解读（一）启动脚本

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一、启动脚本分析

独立部署模式下，主要由master和slaves组成，master可以利用zk实现高可用性，其driver，work，app等信息可以持久化到zk上；slaves由一台至多台主机构成。Driver通过向Master申请资源获取运行环境。

启动master和slaves主要是执行/usr/dahua/spark/sbin目录下的start-master.sh和start-slaves.sh，或者执行

start-all.sh，其中star-all.sh本质上就是调用start-master.sh和start-slaves.sh

1.1　start-all.sh

#1.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi

#2.执行${SPARK_HOME}/sbin/spark-config.sh，见以下分析
. "${SPARK_HOME}/sbin/spark-config.sh"

#3.执行"${SPARK_HOME}/sbin"/start-master.sh，见以下分析
"${SPARK_HOME}/sbin"/start-master.sh

#4.执行"${SPARK_HOME}/sbin"/start-slaves.sh，见以下分析
"${SPARK_HOME}/sbin"/start-slaves.sh

其中start-master.sh和start-slave.sh分别调用的是

org.apache.spark.deploy.master.Master和org.apache.spark.deploy.worker.Worker

1.2　start-master.sh

start-master.sh调用了spark-daemon.sh，注意这里指定了启动的类

#1.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi

# NOTE: This exact class name is matched downstream by SparkSubmit.
# Any changes need to be reflected there.
#2.设置CLASS="org.apache.spark.deploy.master.Master"
CLASS="org.apache.spark.deploy.master.Master"

#3.如果参数结尾包含--help或者-h则打印帮助信息，并退出
if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then
  echo "Usage: ./sbin/start-master.sh [options]"
  pattern="Usage:"
  pattern+="|Using Spark's default log4j profile:"
  pattern+="|Registered signal handlers for"

  "${SPARK_HOME}"/bin/spark-class $CLASS --help 2>&1 | grep -v "$pattern" 1>&2
  exit 1
fi

#4.设置ORIGINAL_ARGS为所有参数
ORIGINAL_ARGS="$@"
#5.执行${SPARK_HOME}/sbin/spark-config.sh
. "${SPARK_HOME}/sbin/spark-config.sh"
#6.执行${SPARK_HOME}/bin/load-spark-env.sh
. "${SPARK_HOME}/bin/load-spark-env.sh"
#7.SPARK_MASTER_PORT为空则赋值7077
if [ "$SPARK_MASTER_PORT" = "" ]; then
  SPARK_MASTER_PORT=7077
fi
#8.SPARK_MASTER_HOST为空则赋值本主机名(hostname)
if [ "$SPARK_MASTER_HOST" = "" ]; then
  case `uname` in
      (SunOS)
      SPARK_MASTER_HOST="`/usr/sbin/check-hostname | awk '{print $NF}'`"
      ;;
      (*)
      SPARK_MASTER_HOST="`hostname -f`"
      ;;
  esac
fi
#9.SPARK_MASTER_WEBUI_PORT为空则赋值8080
if [ "$SPARK_MASTER_WEBUI_PORT" = "" ]; then
  SPARK_MASTER_WEBUI_PORT=8080
fi
#10.执行脚本
"${SPARK_HOME}/sbin"/spark-daemon.sh start $CLASS 1 
  --host $SPARK_MASTER_HOST --port $SPARK_MASTER_PORT --webui-port $SPARK_MASTER_WEBUI_PORT 
  $ORIGINAL_ARGS

其中10肯定是重点，分析之前我们看看5，6都干了些啥，最后直译出最后一个脚本

1.3　spark-config.sh(1.2的第5步)

#判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi
#SPARK_CONF_DIR存在就用此目录，不存在用${SPARK_HOME}/conf
export SPARK_CONF_DIR="${SPARK_CONF_DIR:-"${SPARK_HOME}/conf"}"
# Add the PySpark classes to the PYTHONPATH:
if [ -z "${PYSPARK_PYTHONPATH_SET}" ]; then
  export PYTHONPATH="${SPARK_HOME}/python:${PYTHONPATH}"
  export PYTHONPATH="${SPARK_HOME}/python/lib/py4j-0.10.6-src.zip:${PYTHONPATH}"
  export PYSPARK_PYTHONPATH_SET=1
fi

1.4　load-spark-env.sh(1.2的第6步)

#1.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  source "$(dirname "$0")"/find-spark-home
fi
#2.判断SPARK_ENV_LOADED是否有值，没有将其设置为1
if [ -z "$SPARK_ENV_LOADED" ]; then
  export SPARK_ENV_LOADED=1
#3.设置user_conf_dir为SPARK_CONF_DIR或SPARK_HOME/conf
  export SPARK_CONF_DIR="${SPARK_CONF_DIR:-"${SPARK_HOME}"/conf}"
#4.执行"${user_conf_dir}/spark-env.sh" [注：set -/+a含义再做研究]
  if [ -f "${SPARK_CONF_DIR}/spark-env.sh" ]; then
    # Promote all variable declarations to environment (exported) variables
    set -a
    . "${SPARK_CONF_DIR}/spark-env.sh"
    set +a
  fi
fi

# Setting SPARK_SCALA_VERSION if not already set.
#5.选择scala版本，2.11和2.12都存在的情况下，优先选择2.11
if [ -z "$SPARK_SCALA_VERSION" ]; then

  ASSEMBLY_DIR2="${SPARK_HOME}/assembly/target/scala-2.11"
  ASSEMBLY_DIR1="${SPARK_HOME}/assembly/target/scala-2.12"

  if [[ -d "$ASSEMBLY_DIR2" && -d "$ASSEMBLY_DIR1" ]]; then
    echo -e "Presence of build for multiple Scala versions detected." 1>&2
    echo -e 'Either clean one of them or, export SPARK_SCALA_VERSION in spark-env.sh.' 1>&2
    exit 1
  fi

  if [ -d "$ASSEMBLY_DIR2" ]; then
    export SPARK_SCALA_VERSION="2.11"
  else
    export SPARK_SCALA_VERSION="2.12"
  fi
fi

1.5　spark-env.sh

列举很多种模式的选项配置

1.6　spark-daemon.sh

回过头来看看1.2第10步中需要直译出的最后一个脚本,如下：

sbin/spark-daemon.sh start org.apache.spark.deploy.master.Master 1 --host hostname --port 7077 --webui-port 8080

上面搞了半天只是设置了变量，最终才进入主角，继续分析spark-daemon.sh脚本

#1.参数个数小于等于1，打印帮助
if [ $# -le 1 ]; then
  echo $usage
  exit 1
fi
#2.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi
#3.执行${SPARK_HOME}/sbin/spark-config.sh，见上述分析 [类似脚本是否有重复？原因是有的人是直接用spark-daemon.sh启动的服务，反正重复设置下变量不需要什么代价]
. "${SPARK_HOME}/sbin/spark-config.sh"

# get arguments

# Check if --config is passed as an argument. It is an optional parameter.
# Exit if the argument is not a directory.

#4.判断第一个参数是否是--config,如果是取空格后一个字符串，然后判断该目录是否存在，不存在则打印错误信息并退出，存在设置SPARK_CONF_DIR为该目录,shift到下一个参数 #[注：--config只能用在第一参数上]
if [ "$1" == "--config" ]
then
  shift
  conf_dir="$1"
  if [ ! -d "$conf_dir" ]
  then
    echo "ERROR : $conf_dir is not a directory"
    echo $usage
    exit 1
  else
    export SPARK_CONF_DIR="$conf_dir"
  fi
  shift
fi
#5.分别设置option、command、instance为后面的三个参数(如：option=start,command=org.apache.spark.deploy.master.Master,instance=1) #[注：很多人用spark-daemon.sh启动服务不成功的原因是名字不全]
option=$1
shift
command=$1
shift
instance=$1
shift
#6.日志回滚函数，主要用于更改日志名，如log-->log.1等，略过
spark_rotate_log ()
{
    log=$1;
    num=5;
    if [ -n "$2" ]; then
    num=$2
    fi
    if [ -f "$log" ]; then # rotate logs
    while [ $num -gt 1 ]; do
        prev=`expr $num - 1`
        [ -f "$log.$prev" ] && mv "$log.$prev" "$log.$num"
        num=$prev
    done
    mv "$log" "$log.$num";
    fi
}
#7.执行${SPARK_HOME}/bin/load-spark-env.sh，见上述分析
. "${SPARK_HOME}/bin/load-spark-env.sh"

#8.判断SPARK_IDENT_STRING是否有值，没有将其设置为$USER(linux用户)
if [ "$SPARK_IDENT_STRING" = "" ]; then
  export SPARK_IDENT_STRING="$USER"
fi

#9.设置SPARK_PRINT_LAUNCH_COMMAND=1
export SPARK_PRINT_LAUNCH_COMMAND="1"

# get log directory
#10.判断SPARK_LOG_DIR是否有值，没有将其设置为${SPARK_HOME}/logs，并创建改目录，测试创建文件，修改权限
if [ "$SPARK_LOG_DIR" = "" ]; then
  export SPARK_LOG_DIR="${SPARK_HOME}/logs"
fi
mkdir -p "$SPARK_LOG_DIR"
touch "$SPARK_LOG_DIR"/.spark_test > /dev/null 2>&1
TEST_LOG_DIR=$?
if [ "${TEST_LOG_DIR}" = "0" ]; then
  rm -f "$SPARK_LOG_DIR"/.spark_test
else
  chown "$SPARK_IDENT_STRING" "$SPARK_LOG_DIR"
fi

#11.判断SPARK_PID_DIR是否有值，没有将其设置为/tmp
if [ "$SPARK_PID_DIR" = "" ]; then
  SPARK_PID_DIR=/tmp
fi

# some variables
#12.设置log和pid
log="$SPARK_LOG_DIR/spark-$SPARK_IDENT_STRING-$command-$instance-$HOSTNAME.out"
pid="$SPARK_PID_DIR/spark-$SPARK_IDENT_STRING-$command-$instance.pid"

# Set default scheduling priority
#13.判断SPARK_NICENESS是否有值，没有将其设置为0 [注：调度优先级，见后面]
if [ "$SPARK_NICENESS" = "" ]; then
    export SPARK_NICENESS=0
fi

#14.execute_command()函数，暂且略过，调用时再作分析
execute_command() {
  if [ -z ${SPARK_NO_DAEMONIZE+set} ]; then
      nohup -- "$@" >> $log 2>&1 < /dev/null &
      newpid="$!"

      echo "$newpid" > "$pid"

      # Poll for up to 5 seconds for the java process to start
      for i in {1..10}
      do
        if [[ $(ps -p "$newpid" -o comm=) =~ "java" ]]; then
           break
        fi
        sleep 0.5
      done

      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 comm=) =~ "java" ]]; then
        echo "failed to launch: $@"
        tail -10 "$log" | sed 's/^/  /'
        echo "full log in $log"
      fi
  else
      "$@"
  fi
}
#15.进入case语句，判断option值，进入该分支，我们以start为例
#   执行run_command class "$@"，其中$@此时为空，经验证，启动带上此参数后，关闭也需，不然关闭不了，后面再分析此参数作用
#   我们正式进入run_command()函数，分析
#   I.设置mode=class,创建SPARK_PID_DIR，上面的pid文件是否存在，
#   II.SPARK_MASTER不为空，同步删除某些文件
#   III.回滚log日志
#   IV.进入case，command=org.apache.spark.deploy.master.Master，最终执行
#       nohup nice -n "$SPARK_NICENESS" "${SPARK_HOME}"/bin/spark-class $command "$@" >> "$log" 2>&1 < /dev/null &
#       newpid="$!"
#       echo "$newpid" > "$pid"
#   重点转向bin/spark-class org.apache.spark.deploy.master.Master
run_command() {
  mode="$1"
  shift

  mkdir -p "$SPARK_PID_DIR"

  if [ -f "$pid" ]; then
    TARGET_ID="$(cat "$pid")"
    if [[ $(ps -p "$TARGET_ID" -o comm=) =~ "java" ]]; then
      echo "$command running as process $TARGET_ID.  Stop it first."
      exit 1
    fi
  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

  spark_rotate_log "$log"
  echo "starting $command, logging to $log"

  case "$mode" in
    (class)
      execute_command nice -n "$SPARK_NICENESS" "${SPARK_HOME}"/bin/spark-class "$command" "$@"
      ;;

    (submit)
      execute_command nice -n "$SPARK_NICENESS" bash "${SPARK_HOME}"/bin/spark-submit --class "$command" "$@"
      ;;

    (*)
      echo "unknown mode: $mode"
      exit 1
      ;;
  esac

}

case $option in

  (submit)
    run_command submit "$@"
    ;;

  (start)
    run_command class "$@"
    ;;

  (stop)

    if [ -f $pid ]; then
      TARGET_ID="$(cat "$pid")"
      if [[ $(ps -p "$TARGET_ID" -o comm=) =~ "java" ]]; then
        echo "stopping $command"
        kill "$TARGET_ID" && rm -f "$pid"
      else
        echo "no $command to stop"
      fi
    else
      echo "no $command to stop"
    fi
    ;;

  (status)

    if [ -f $pid ]; then
      TARGET_ID="$(cat "$pid")"
      if [[ $(ps -p "$TARGET_ID" -o comm=) =~ "java" ]]; then
        echo $command is running.
        exit 0
      else
        echo $pid file is present but $command not running
        exit 1
      fi
    else
      echo $command not running.
      exit 2
    fi
    ;;

  (*)
    echo $usage
    exit 1
    ;;

esac

1.7　spark-class

#1.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  source "$(dirname "$0")"/find-spark-home
fi

#2.执行${SPARK_HOME}/bin/load-spark-env.sh，见上述分析
. "${SPARK_HOME}"/bin/load-spark-env.sh

# Find the java binary
#3.判断JAVA_HOME是否为NULL，不是则设置RUNNER="${JAVA_HOME}/bin/java"，否则找系统自带，在没有则报未设置，并退出
if [ -n "${JAVA_HOME}" ]; then
  RUNNER="${JAVA_HOME}/bin/java"
else
  if [ "$(command -v java)" ]; then
    RUNNER="java"
  else
    echo "JAVA_HOME is not set" >&2
    exit 1
  fi
fi

# Find Spark jars.
#4.查找SPARK_JARS_DIR，若${SPARK_HOME}/RELEASE文件存在，则SPARK_JARS_DIR="${SPARK_HOME}/jars"，否则
#SPARK_JARS_DIR="${SPARK_HOME}/assembly/target/scala-$SPARK_SCALA_VERSION/jars"
if [ -d "${SPARK_HOME}/jars" ]; then
  SPARK_JARS_DIR="${SPARK_HOME}/jars"
else
  SPARK_JARS_DIR="${SPARK_HOME}/assembly/target/scala-$SPARK_SCALA_VERSION/jars"
fi

#5.若SPARK_JARS_DIR不存在且$SPARK_TESTING$SPARK_SQL_TESTING有值[注：一般我们不设置这两变量]，报错退出，否则LAUNCH_CLASSPATH="$SPARK_JARS_DIR/*"
if [ ! -d "$SPARK_JARS_DIR" ] && [ -z "$SPARK_TESTING$SPARK_SQL_TESTING" ]; then
  echo "Failed to find Spark jars directory ($SPARK_JARS_DIR)." 1>&2
  echo "You need to build Spark with the target "package" before running this program." 1>&2
  exit 1
else
  LAUNCH_CLASSPATH="$SPARK_JARS_DIR/*"
fi

# Add the launcher build dir to the classpath if requested.
#6.SPARK_PREPEND_CLASSES不是NULL，则LAUNCH_CLASSPATH="${SPARK_HOME}/launcher/target/scala-$SPARK_SCALA_VERSION/classes:$LAUNCH_CLASSPATH"， #添加编译相关至LAUNCH_CLASSPATH
if [ -n "$SPARK_PREPEND_CLASSES" ]; then
  LAUNCH_CLASSPATH="${SPARK_HOME}/launcher/target/scala-$SPARK_SCALA_VERSION/classes:$LAUNCH_CLASSPATH"
fi

# For tests
#7.SPARK_TESTING不是NULL，则unset YARN_CONF_DIR和unset HADOOP_CONF_DIR，暂且当做是为了某种测试
if [[ -n "$SPARK_TESTING" ]]; then
  unset YARN_CONF_DIR
  unset HADOOP_CONF_DIR
fi

#8.build_command函数，略过
build_command() {
  "$RUNNER" -Xmx128m -cp "$LAUNCH_CLASSPATH" org.apache.spark.launcher.Main "$@"
  printf "%d" $?
}

# Turn off posix mode since it does not allow process substitution
set +o posix
CMD=()
while IFS= read -d '' -r ARG; do
  CMD+=("$ARG")
  #9.最终调用"$RUNNER" -Xmx128m -cp "$LAUNCH_CLASSPATH" org.apache.spark.launcher.Main "$@"，
  #直译：java -Xmx128m -cp "$LAUNCH_CLASSPATH" org.apache.spark.launcher.Main "$@"
  #转向java类org.apache.spark.launcher.Main，这就是java入口类
done < <(build_command "$@")

COUNT=${#CMD[@]}
LAST=$((COUNT - 1))
LAUNCHER_EXIT_CODE=${CMD[$LAST]}

# Certain JVM failures result in errors being printed to stdout (instead of stderr), which causes
# the code that parses the output of the launcher to get confused. In those cases, check if the
# exit code is an integer, and if it's not, handle it as a special error case.
if ! [[ $LAUNCHER_EXIT_CODE =~ ^[0-9]+$ ]]; then
  echo "${CMD[@]}" | head -n-1 1>&2
  exit 1
fi

if [ $LAUNCHER_EXIT_CODE != 0 ]; then
  exit $LAUNCHER_EXIT_CODE
fi

CMD=("${CMD[@]:0:$LAST}")
exec "${CMD[@]}"

1.8　start-slaves.sh

#1.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi

#2.执行${SPARK_HOME}/sbin/spark-config.sh，见上述分析
. "${SPARK_HOME}/sbin/spark-config.sh"

#3.执行${SPARK_HOME}/bin/load-spark-env.sh，见上述分析
. "${SPARK_HOME}/bin/load-spark-env.sh"

# Find the port number for the master
#4.SPARK_MASTER_PORT为空则设置为7077
if [ "$SPARK_MASTER_PORT" = "" ]; then
  SPARK_MASTER_PORT=7077
fi

#5.SPARK_MASTER_HOST为空则设置为`hostname`
if [ "$SPARK_MASTER_HOST" = "" ]; then
  case `uname` in
      (SunOS)
      SPARK_MASTER_HOST="`/usr/sbin/check-hostname | awk '{print $NF}'`"
      ;;
      (*)
      SPARK_MASTER_HOST="`hostname -f`"
      ;;
  esac
fi

# Launch the slaves
#6.启动slaves，
#   "${SPARK_HOME}/sbin/slaves.sh" cd "${SPARK_HOME}" ; "${SPARK_HOME}/sbin/start-slave.sh" "spark://$SPARK_MASTER_HOST:$SPARK_MASTER_PORT"
#   遍历conf/slaves中主机，其中有设置SPARK_SSH_OPTS，ssh每一台机器执行"${SPARK_HOME}/sbin/start-slave.sh" "spark://$SPARK_MASTER_HOST:$SPARK_MASTER_PORT"
"${SPARK_HOME}/sbin/slaves.sh" cd "${SPARK_HOME}" ; "${SPARK_HOME}/sbin/start-slave.sh" "spark://$SPARK_MASTER_HOST:$SPARK_MASTER_PORT"

1.9　转向start-slave.sh

#1.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi

#2.设置CLASS="org.apache.spark.deploy.worker.Worker"
CLASS="org.apache.spark.deploy.worker.Worker"

#3.如果参数结尾包含--help或者-h则打印帮助信息，并退出
if [[ $# -lt 1 ]] || [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then
  echo "Usage: ./sbin/start-slave.sh [options] <master>"
  pattern="Usage:"
  pattern+="|Using Spark's default log4j profile:"
  pattern+="|Registered signal handlers for"

  "${SPARK_HOME}"/bin/spark-class $CLASS --help 2>&1 | grep -v "$pattern" 1>&2
  exit 1
fi

#4.执行${SPARK_HOME}/sbin/spark-config.sh，见上述分析
. "${SPARK_HOME}/sbin/spark-config.sh"
#5.执行${SPARK_HOME}/bin/load-spark-env.sh，见上述分析
. "${SPARK_HOME}/bin/load-spark-env.sh"

#6.MASTER=$1,这里MASTER=spark://hostname:7077，然后shift，也就是说单独启动单个slave使用start-slave.sh spark://hostname:7077
MASTER=$1
shift

#7.SPARK_WORKER_WEBUI_PORT为空则设置为8081
if [ "$SPARK_WORKER_WEBUI_PORT" = "" ]; then
  SPARK_WORKER_WEBUI_PORT=8081
fi

#8.函数start_instance，略过
function start_instance {
#设置WORKER_NUM=$1
  WORKER_NUM=$1
  shift

  if [ "$SPARK_WORKER_PORT" = "" ]; then
    PORT_FLAG=
    PORT_NUM=
  else
    PORT_FLAG="--port"
    PORT_NUM=$(( $SPARK_WORKER_PORT + $WORKER_NUM - 1 ))
  fi
  WEBUI_PORT=$(( $SPARK_WORKER_WEBUI_PORT + $WORKER_NUM - 1 ))

  #直译：spark-daemon.sh start org.apache.spark.deploy.worker.Worker 1 --webui-port 7077 spark://hostname:7077
  #代码再次转向spark-daemon.sh，见上诉分析
  "${SPARK_HOME}/sbin"/spark-daemon.sh start $CLASS $WORKER_NUM 
     --webui-port "$WEBUI_PORT" $PORT_FLAG $PORT_NUM $MASTER "$@"
}

#9.判断SPARK_WORKER_INSTANCES(可以认为是单节点Worker进程数)是否为空
#   为空，则start_instance 1 "$@"
#   不为空，则循环
#         for ((i=0; i<$SPARK_WORKER_INSTANCES; i++)); do
#           start_instance $(( 1 + $i )) "$@"
#         done
if [ "$SPARK_WORKER_INSTANCES" = "" ]; then
  start_instance 1 "$@"
else
  for ((i=0; i<$SPARK_WORKER_INSTANCES; i++)); do
  #10.转向start_instance函数
    start_instance $(( 1 + $i )) "$@"
  done
fi

回到顶部

二、其他脚本

2.1　start-history-server.sh

#1.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi

#2.执行${SPARK_HOME}/sbin/spark-config.sh，见上述分析
. "${SPARK_HOME}/sbin/spark-config.sh"
#3.执行${SPARK_HOME}/bin/load-spark-env.sh，见上述分析
. "${SPARK_HOME}/bin/load-spark-env.sh"
#4.exec "${SPARK_HOME}/sbin"/spark-daemon.sh start org.apache.spark.deploy.history.HistoryServer 1 $@ ，见上诉分析
exec "${SPARK_HOME}/sbin"/spark-daemon.sh start org.apache.spark.deploy.history.HistoryServer 1 "$@"

2.2　start-shuffle-service.sh

#1.判断SPARK_HOME是否有值，没有将其设置为当前文件所在目录的上级目录
if [ -z "${SPARK_HOME}" ]; then
  export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi

#2.执行${SPARK_HOME}/sbin/spark-config.sh，见上述分析
. "${SPARK_HOME}/sbin/spark-config.sh"
#3.执行${SPARK_HOME}/bin/load-spark-env.sh，见上述分析
. "${SPARK_HOME}/bin/load-spark-env.sh"
#4.exec "${SPARK_HOME}/sbin"/spark-daemon.sh start org.apache.spark.deploy.ExternalShuffleService 1 ，见上诉分析
exec "${SPARK_HOME}/sbin"/spark-daemon.sh start org.apache.spark.deploy.ExternalShuffleService 1

2.3　start-thriftserver.sh

开启thriftserver，略

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原文地址：https://www.cnblogs.com/liuys635/p/11002749.html

Spark学习之路 （十五）SparkCore的源码解读（一）启动脚本

一、启动脚本分析

1.1 start-all.sh

1.2 start-master.sh

1.3 spark-config.sh(1.2的第5步)

1.4 load-spark-env.sh(1.2的第6步)

1.5 spark-env.sh

1.6 spark-daemon.sh

1.7 spark-class

1.8 start-slaves.sh

1.9 转向start-slave.sh