Spark启动流程（Standalone）-分析

 

1、start-all.sh脚本，实际上执行java -cp Master 和 java -cp Worker

 

2、Master 启动时首先穿件一个RpcEnv对象，负责管理所有通信逻辑

 

3、Master 通信RpcEnv对象创建一个Endpoint，Master就是一个Endpoint，Worker可以与其进行通信

 

4、Worker启动时也是创建一个RpcEnv对象

 

5、Worker通过RpcEnv对象创建一个Endpoint

 

6、Worker 通过RpcEnv对象建立到Master的连接 ，获取到一个RpcEndpointRef对象，通过该对象可以与Master通信

 

7、Worker向Master注册，注册内容包括主机名、端口、CPU core数量、内存数量

 

8、Master接收到worker的注册，将注册信息维护在内存中的table中，其中还包含了一个到worker的RpcEndpointRef对象引用

 

9、Master回复Worker已经接收到注册，告知Worker已经注册成功

 

10、Worker端收到成功注册相应后，开始周期性向Master发送心跳

 

1、start-master.sh Master 启动脚本分析

start-master.sh

 1 //读取SPARK_HOME
 2 if [ -z "${SPARK_HOME}" ]; then
 3   export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
 4 fi
 5 
 6 # NOTE: This exact class name is matched downstream by SparkSubmit.
 7 # Any changes need to be reflected there.
 8 CLASS="org.apache.spark.deploy.master.Master"
 9 
10 if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then
11   echo "Usage: ./sbin/start-master.sh [options]"
12   pattern="Usage:"
13   pattern+="\|Using Spark's default log4j profile:"
14   pattern+="\|Registered signal handlers for"
15 
16   "${SPARK_HOME}"/bin/spark-class $CLASS --help 2>&1 | grep -v "$pattern" 1>&2
17   exit 1
18 fi
19 
20 ORIGINAL_ARGS="$@"
21 
22 . "${SPARK_HOME}/sbin/spark-config.sh"
23 
24 . "${SPARK_HOME}/bin/load-spark-env.sh"
25 
26 if [ "$SPARK_MASTER_PORT" = "" ]; then
27   SPARK_MASTER_PORT=7077
28 fi
29 
30 if [ "$SPARK_MASTER_HOST" = "" ]; then
31   case `uname` in
32       (SunOS)
33       SPARK_MASTER_HOST="`/usr/sbin/check-hostname | awk '{print $NF}'`"
34       ;;
35       (*)
36       SPARK_MASTER_HOST="`hostname -f`"
37       ;;
38   esac
39 fi
40 
41 if [ "$SPARK_MASTER_WEBUI_PORT" = "" ]; then
42   SPARK_MASTER_WEBUI_PORT=8080
43 fi
44 //调用spark-daemon.sh执行
45 "${SPARK_HOME}/sbin"/spark-daemon.sh start $CLASS 1 \
46   --host $SPARK_MASTER_HOST --port $SPARK_MASTER_PORT --webui-port $SPARK_MASTER_WEBUI_PORT \
47   $ORIGINAL_ARGS

spark-daemon.sh

 1 ...
 2 
 3 execute_command() {
 4   if [ -z ${SPARK_NO_DAEMONIZE+set} ]; then
 5      # 最终以后台守护进程的方式启动 Master
 6       nohup -- "$@" >> $log 2>&1 < /dev/null &
 7       newpid="$!"
 8 
 9       echo "$newpid" > "$pid"
10 
11       # Poll for up to 5 seconds for the java process to start
12       for i in {1..10}
13       do
14         if [[ $(ps -p "$newpid" -o comm=) =~ "java" ]]; then
15            break
16         fi
17         sleep 0.5
18       done
19 
20       sleep 2
21       # Check if the process has died; in that case we'll tail the log so the user can see
22       if [[ ! $(ps -p "$newpid" -o comm=) =~ "java" ]]; then
23         echo "failed to launch: $@"
24         tail -2 "$log" | sed 's/^/  /'
25         echo "full log in $log"
26       fi
27   else
28       "$@"
29   fi
30 }
31 
32 ...

启动类

1 /opt/module/spark-standalone/bin/spark-class       org.apache.spark.deploy.master.Master 
2             --host hadoop201 
3             --port 7077 
4             --webui-port 8080

bin/spark-class启动命令：

1  /opt/module/jdk1.8.0_172/bin/java 
2         -cp /opt/module/spark-standalone/conf/:/opt/module/spark-standalone/jars/* 
3         -Xmx1g org.apache.spark.deploy.master.Master 
4         --host hadoop201 
5         --port 7077 
6         --webui-port 8080

 







            

            
posted @ 
2019-12-22 12:22 
hyunbar 
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