hadoop+zookeeper+yarn+spark高可用主从备份启动步骤

环境搭建参考于 https://www.cnblogs.com/zimo-jing/p/8892697.html

1、所有节点依次启动zookeeper

　# zkServer.sh start
 >>
    7915 QuorumPeerMain

2、所有节点依次启动journalnode 保证数据同步(此步可省略，3将启动这一步) 

　# hadoop-daemon.sh start journalnode
 >>
     7915 QuorumPeerMain
     8109 JournalNode
     7915 QuorumPeerMain

3、主节点启动hdfs 

　# start-dfs.sh
  >>
     8279 NameNode
     7915 QuorumPeerMain
     8604 DFSZKFailoverController
     8109 JournalNode

UI界面 :

            master http://master:50070
            slave1 http://slave1:50070

4、主节点启动yarn slave1也要执行

 # start-yarn.sh
 -----------master-------------　
 >>
    8279 NameNode
    7915 QuorumPeerMain
    8604 DFSZKFailoverController 
    8732 ResourceManager 
    8109 JournalNode

 -----------slave1-------------　
 >>　　
    8192 DataNode
    8113 NameNode
    8481 NodeManager
    8006 JournalNode
    8348 DFSZKFailoverController
    7935 QuorumPeerMain

 UI界面:

　　     master:8088

            slave1:8088

           (注意： slave1UI界面会跳转到master)

5、启动spark

 -----------master-------------
  # start-master.sh
  # start-slaves.sh
>>
  8279 NameNode
  7915 QuorumPeerMain
  8604 DFSZKFailoverController
  8732 ResourceManager
  8109 JournalNode
  9150 Master
  9374 Worker

 -----------slave1-------------
 # start-master.sh

 >>
    8192 DataNode 

    8113 NameNode

    8481 NodeManager

    8786 Master

    8006 JournalNode

    8348 DFSZKFailoverController
    9164 Worker
    7935 QuorumPeerMain

界面：主 http://master:8081/
           从 http://slave1:8082/

6、提交任务

yarn：client模式 

 spark-submit --master yarn --conf spark.pyspark.python=/usr/python3/python --deploy-mode client hello.py

 spark： client模式 

spark-submit --master spark://master:7077 --conf spark.pyspark.python=python3 --deploy-mode client hello.py

 完！