• Hadoop生态圈-zookeeper完全分布式部署


                            Hadoop生态圈-zookeeper完全分布式部署

                                                 作者:尹正杰

    版权声明:原创作品,谢绝转载!否则将追究法律责任。

      本篇博客部署是建立在Hadoop高可用基础之上的,关于Hadoop高可用部署请参考:https://www.cnblogs.com/yinzhengjie/p/9070017.html。本篇博客是将Hadoop的高可用配置和zookeeper完全分布式结合使用!

    一.分布式协调框架

    1>.分布式框架的好处

    a>.可靠性:
      一个或几个节点的崩溃不会导致整个集群的崩溃。
    
    b>.可伸缩性:
      可以通过动态添加主机的方式以及修改少量配置文件,以便提示集群性能。
    
    c>.透明性:
      隐藏系统的复杂性,对用户体现为一个单一的应用。

    2>.分布式框架的弊端

    a>.竞态条件:
      一个或多个主机尝试运行一个应用,但是该应用只需要被一个主机所运行。
    
    b>.死锁:
      两个进程分别等待对方完成。
    
    c>.不一致性:
      数据的部分丢失。

    二.Zookeeper简介

    1>.Zookeeper的作用

      答:为了解决分布式协调框架的一些弊端,就出现了zookeeper软件,它是目前大数据中比较流行的分布式协调框架。

    2>.Zookeeper的特色

    a>.名字服务:
      标识集群中的所有节点,节点能够向其注册并产生唯一标识。
    
    b>.配置管理:
      存储配置文件,以便共享。
    
    c>.领袖推选机制:
      就是根据其自身的算法推选出leader和follower。
    
    d>.锁和同步服务:
      当文件进行修改,会将其进行加锁,防止多用户同时写入。
    
    e>.高有效性数据注册:
      一个节点是数据不能超过1M,这个规则是递归的,换句话说,每个节点及其子节点的存储空间大小不能超过1M。

    3>.本篇博客部署zookeeper架构图

     

    4>.领袖推选机制介绍

       在选举leader节点时,首先会比较事务id,其次比较myid,如果集群中已经有一半机器参加选举,那么次leader就是整个集群中的leader。

      为了方便理解,我画了两幅图,便于理解上面的一句话,当事物id一致时推选leader如下:

     

      当事物id不一致时推选leader如下:

     

    三.zookeeper完全分布式部署

    1>.下载zookeeper安装包

    [yinzhengjie@s101 data]$ sudo yum -y install wget
    [sudo] password for yinzhengjie: 
    Loaded plugins: fastestmirror
    Repodata is over 2 weeks old. Install yum-cron? Or run: yum makecache fast
    base                                                                                                    | 3.6 kB  00:00:00     
    extras                                                                                                  | 3.4 kB  00:00:00     
    updates                                                                                                 | 3.4 kB  00:00:00     
    (1/2): extras/7/x86_64/primary_db                                                                       | 149 kB  00:00:00     
    (2/2): updates/7/x86_64/primary_db                                                                      | 2.7 MB  00:00:07     
    Determining fastest mirrors
     * base: mirrors.huaweicloud.com
     * extras: mirrors.huaweicloud.com
     * updates: mirrors.huaweicloud.com
    Resolving Dependencies
    --> Running transaction check
    ---> Package wget.x86_64 0:1.14-15.el7_4.1 will be installed
    --> Finished Dependency Resolution
    
    Dependencies Resolved
    
    ===============================================================================================================================
     Package                   Arch                        Version                                 Repository                 Size
    ===============================================================================================================================
    Installing:
     wget                      x86_64                      1.14-15.el7_4.1                         base                      547 k
    
    Transaction Summary
    ===============================================================================================================================
    Install  1 Package
    
    Total download size: 547 k
    Installed size: 2.0 M
    Downloading packages:
    wget-1.14-15.el7_4.1.x86_64.rpm                                                                         | 547 kB  00:00:00     
    Running transaction check
    Running transaction test
    Transaction test succeeded
    Running transaction
      Installing : wget-1.14-15.el7_4.1.x86_64                                                                                 1/1 
      Verifying  : wget-1.14-15.el7_4.1.x86_64                                                                                 1/1 
    
    Installed:
      wget.x86_64 0:1.14-15.el7_4.1                                                                                                
    
    Complete!
    [yinzhengjie@s101 data]$ 
    [yinzhengjie@s101 data]$ sudo yum -y install wget
    [yinzhengjie@s101 data]$ wget http://mirrors.hust.edu.cn/apache/zookeeper/zookeeper-3.4.12/zookeeper-3.4.12.tar.gz
    --2018-06-20 07:01:38--  http://mirrors.hust.edu.cn/apache/zookeeper/zookeeper-3.4.12/zookeeper-3.4.12.tar.gz
    Resolving mirrors.hust.edu.cn (mirrors.hust.edu.cn)... 202.114.18.160
    Connecting to mirrors.hust.edu.cn (mirrors.hust.edu.cn)|202.114.18.160|:80... connected.
    HTTP request sent, awaiting response... 200 OK
    Length: 36667596 (35M) [application/octet-stream]
    Saving to: ‘zookeeper-3.4.12.tar.gz’
    
    100%[=====================================================================================>] 36,667,596   132KB/s   in 4m 4s  
    
    2018-06-20 07:05:43 (146 KB/s) - ‘zookeeper-3.4.12.tar.gz’ saved [36667596/36667596]
    
    [yinzhengjie@s101 data]$ ll
    total 35848
    -rw-r--r--. 1 yinzhengjie yinzhengjie    35358 Jun  1 08:48 seq
    -rw-rw-r--. 1 yinzhengjie yinzhengjie 36667596 Apr 25 08:47 zookeeper-3.4.12.tar.gz
    [yinzhengjie@s101 data]$ 
    [yinzhengjie@s101 data]$ wget http://mirrors.hust.edu.cn/apache/zookeeper/zookeeper-3.4.12/zookeeper-3.4.12.tar.gz

    2>.修改配置文件

    [yinzhengjie@s101 ~]$ cat /soft/zk/conf/zoo.cfg 
    # The number of milliseconds of each tick
    tickTime=2000
    # The number of ticks that the initial 
    # synchronization phase can take
    initLimit=10
    # The number of ticks that can pass between 
    # sending a request and getting an acknowledgement
    syncLimit=5
    # the directory where the snapshot is stored.
    # do not use /tmp for storage, /tmp here is just 
    # example sakes.
    dataDir=/home/yinzhengjie/zookeeper
    # the port at which the clients will connect
    clientPort=2181
    # the maximum number of client connections.
    # increase this if you need to handle more clients
    #maxClientCnxns=60
    #
    # Be sure to read the maintenance section of the 
    # administrator guide before turning on autopurge.
    #
    # http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
    #
    # The number of snapshots to retain in dataDir
    #autopurge.snapRetainCount=3
    # Purge task interval in hours
    # Set to "0" to disable auto purge feature
    #autopurge.purgeInterval=1
    server.102=s102:2888:3888
    server.103=s103:2888:3888
    server.104=s104:2888:3888
    
    
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ cat /soft/zk/conf/zoo.cfg

    3>.分发配置文件

    [yinzhengjie@s101 ~]$ more `which xrsync.sh`
    #!/bin/bash
    #@author :yinzhengjie
    #blog:http://www.cnblogs.com/yinzhengjie
    #EMAIL:y1053419035@qq.com
    
    #判断用户是否传参
    if [ $# -lt 1 ];then
            echo "请输入参数";
            exit
    fi
    
    
    #获取文件路径
    file=$@
    
    #获取子路径
    filename=`basename $file`
    
    #获取父路径
    dirpath=`dirname $file`
    
    #获取完整路径
    cd $dirpath
    fullpath=`pwd -P`
    
    #同步文件到DataNode
    for (( i=102;i<=105;i++ ))
    do
            #使终端变绿色 
            tput setaf 2
            echo =========== s$i %file ===========
            #使终端变回原来的颜色,即白灰色
            tput setaf 7
            #远程执行命令
            rsync -lr $filename `whoami`@s$i:$fullpath
            #判断命令是否执行成功
            if [ $? == 0 ];then
                    echo "命令执行成功"
            fi
    done
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ more `which xrsync.sh`
    [yinzhengjie@s101 ~]$ xrsync.sh /soft/zk
    =========== s102 %file ===========
    命令执行成功
    =========== s103 %file ===========
    命令执行成功
    =========== s104 %file ===========
    命令执行成功
    =========== s105 %file ===========
    命令执行成功
    [yinzhengjie@s101 ~]$
    [yinzhengjie@s101 ~]$ xrsync.sh /soft/zk
    [yinzhengjie@s101 ~]$ xrsync.sh /soft/zookeeper-3.4.12/
    =========== s102 %file ===========
    命令执行成功
    =========== s103 %file ===========
    命令执行成功
    =========== s104 %file ===========
    命令执行成功
    =========== s105 %file ===========
    命令执行成功
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ xrsync.sh /soft/zookeeper-3.4.12/
    [yinzhengjie@s101 ~]$ su root
    Password: 
    [root@s101 yinzhengjie]# xrsync.sh /etc/profile
    =========== s102 %file ===========
    命令执行成功
    =========== s103 %file ===========
    命令执行成功
    =========== s104 %file ===========
    命令执行成功
    =========== s105 %file ===========
    命令执行成功
    [root@s101 yinzhengjie]# exit 
    exit
    [yinzhengjie@s101 ~]$ 
    [root@s101 yinzhengjie]# xrsync.sh /etc/profile

    4>.在zk节点注册ID信息

    [yinzhengjie@s101 ~]$ more `which xcall.sh`
    #!/bin/bash
    #@author :yinzhengjie
    #blog:http://www.cnblogs.com/yinzhengjie
    #EMAIL:y1053419035@qq.com
    
    
    #判断用户是否传参
    if [ $# -lt 1 ];then
            echo "请输入参数"
            exit
    fi
    
    #获取用户输入的命令
    cmd=$@
    
    for (( i=101;i<=105;i++ ))
    do
            #使终端变绿色 
            tput setaf 2
            echo ============= s$i $cmd ============
            #使终端变回原来的颜色,即白灰色
            tput setaf 7
            #远程执行命令
            ssh s$i $cmd
            #判断命令是否执行成功
            if [ $? == 0 ];then
                    echo "命令执行成功"
            fi
    done
    [yinzhengjie@s101 ~]$
    [yinzhengjie@s101 ~]$ more `which xcall.sh`
    [yinzhengjie@s101 ~]$ xcall.sh mkdir ~/zookeeper
    ============= s101 mkdir /home/yinzhengjie/zookeeper ============
    命令执行成功
    ============= s102 mkdir /home/yinzhengjie/zookeeper ============
    命令执行成功
    ============= s103 mkdir /home/yinzhengjie/zookeeper ============
    命令执行成功
    ============= s104 mkdir /home/yinzhengjie/zookeeper ============
    命令执行成功
    ============= s105 mkdir /home/yinzhengjie/zookeeper ============
    命令执行成功
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ xcall.sh mkdir ~/zookeeper
    [yinzhengjie@s101 ~]$ xcall.sh touch ~/zookeeper/myid
    ============= s101 touch /home/yinzhengjie/zookeeper/myid ============
    命令执行成功
    ============= s102 touch /home/yinzhengjie/zookeeper/myid ============
    命令执行成功
    ============= s103 touch /home/yinzhengjie/zookeeper/myid ============
    命令执行成功
    ============= s104 touch /home/yinzhengjie/zookeeper/myid ============
    命令执行成功
    ============= s105 touch /home/yinzhengjie/zookeeper/myid ============
    命令执行成功
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ xcall.sh touch ~/zookeeper/myid
    [yinzhengjie@s101 ~]$ for (( i=102;i<=104;i++ )) do ssh s$i "echo -n $i > ~/zookeeper/myid" ;done
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ for (( i=102;i<=104;i++ )) do ssh s$i "echo -n $i > ~/zookeeper/myid" ;done
    [yinzhengjie@s102 ~]$ more /home/yinzhengjie/zookeeper/myid 
    102
    [yinzhengjie@s102 ~]$ 
    [yinzhengjie@s102 ~]$ more /home/yinzhengjie/zookeeper/myid
    [yinzhengjie@s103 ~]$ more /home/yinzhengjie/zookeeper/myid 
    103
    [yinzhengjie@s103 ~]$ 
    [yinzhengjie@s103 ~]$ more /home/yinzhengjie/zookeeper/myid
    [yinzhengjie@s104 ~]$ more /home/yinzhengjie/zookeeper/myid 
    104
    [yinzhengjie@s104 ~]$
    [yinzhengjie@s104 ~]$ more /home/yinzhengjie/zookeeper/myid

    5>.编写zookeeper启动脚本(“/usr/local/bin/xzk.sh”,别忘记添加执行权限)

    [yinzhengjie@s101 ~]$ more /usr/local/bin/xzk.sh 
    #!/bin/bash
    #@author :yinzhengjie
    #blog:http://www.cnblogs.com/yinzhengjie
    #EMAIL:y1053419035@qq.com
    
    #判断用户是否传参
    if [ $# -ne 1 ];then
        echo "无效参数,用法为: $0  {start|stop|restart|status}"
        exit
    fi
    
    #获取用户输入的命令
    cmd=$1
    
    #定义函数功能
    function zookeeperManger(){
        case $cmd in
        start)
            echo "启动服务"        
            remoteExecution start
            ;;
        stop)
            echo "停止服务"
            remoteExecution stop
            ;;
        restart)
            echo "重启服务"
            remoteExecution restart
            ;;
        status)
            echo "查看状态"
            remoteExecution status
            ;;
        *)
            echo "无效参数,用法为: $0  {start|stop|restart|status}"
            ;;
        esac
    }
    
    
    #定义执行的命令
    function remoteExecution(){
        for (( i=102 ; i<=104 ; i++ )) ; do
                tput setaf 2
                echo ========== s$i zkServer.sh  $1 ================
                tput setaf 9
                ssh s$i  "source /etc/profile ; zkServer.sh $1"
        done
    }
    
    #调用函数
    zookeeperManger
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ sudo chmod +x /usr/local/bin/xzk.sh 
    [yinzhengjie@s101 ~]$ 

    6>.启动zookeeper

    [yinzhengjie@s101 ~]$ xzk.sh start
    启动服务
    ========== s102 zkServer.sh start ================
    ZooKeeper JMX enabled by default
    Using config: /soft/zk/bin/../conf/zoo.cfg
    Starting zookeeper ... STARTED
    ========== s103 zkServer.sh start ================
    ZooKeeper JMX enabled by default
    Using config: /soft/zk/bin/../conf/zoo.cfg
    Starting zookeeper ... STARTED
    ========== s104 zkServer.sh start ================
    ZooKeeper JMX enabled by default
    Using config: /soft/zk/bin/../conf/zoo.cfg
    Starting zookeeper ... STARTED
    [yinzhengjie@s101 ~]$ 
    启动zookeeper([yinzhengjie@s101 ~]$ xzk.sh start)
    [yinzhengjie@s101 ~]$ xzk.sh status
    查看状态
    ========== s102 zkServer.sh status ================
    ZooKeeper JMX enabled by default
    Using config: /soft/zk/bin/../conf/zoo.cfg
    Mode: follower
    ========== s103 zkServer.sh status ================
    ZooKeeper JMX enabled by default
    Using config: /soft/zk/bin/../conf/zoo.cfg
    Mode: leader
    ========== s104 zkServer.sh status ================
    ZooKeeper JMX enabled by default
    Using config: /soft/zk/bin/../conf/zoo.cfg
    Mode: follower
    [yinzhengjie@s101 ~]$ 
    查看zookeeper集群状态([yinzhengjie@s101 ~]$ xzk.sh status)

    四.HDFS高可用配置

    1>.启动zookeeper集群([yinzhengjie@s101 ~]$ xzk.sh start)

       启动方式参考:"三.zookeeper完全分布式部署",一下是查看集群的zookeeper进程是否启动成功:

    [yinzhengjie@s101 ~]$ xcall.sh jps
    ============= s101 jps ============
    3217 Jps
    命令执行成功
    ============= s102 jps ============
    2712 Jps
    2558 QuorumPeerMain
    命令执行成功
    ============= s103 jps ============
    2584 QuorumPeerMain
    2751 Jps
    命令执行成功
    ============= s104 jps ============
    2737 Jps
    2575 QuorumPeerMain
    命令执行成功
    ============= s105 jps ============
    2561 Jps
    命令执行成功
    [yinzhengjie@s101 ~]$ 

    2>.修改hadoop的核心配置文件

    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/hdfs-site.xml 
    <?xml version="1.0" encoding="UTF-8"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>
            <property>
                    <name>dfs.replication</name>
                    <value>3</value>
            </property>
            <property>
                    <name>dfs.namenode.name.dir</name>
                    <value>/home/yinzhengjie/ha/dfs/name1,/home/yinzhengjie/ha/dfs/name2</value>
            </property>
            <property>
                    <name>dfs.datanode.data.dir</name>
                    <value>/home/yinzhengjie/ha/dfs/data1,/home/yinzhengjie/ha/dfs/data2</value>
            </property>
    
    <!-- 高可用配置 -->
    <property>
      <name>dfs.nameservices</name>
      <value>mycluster</value>
    </property>
    
    <property>
      <name>dfs.ha.namenodes.mycluster</name>
      <value>nn1,nn2</value>
    </property>
    
    <property>
      <name>dfs.namenode.rpc-address.mycluster.nn1</name>
      <value>s101:8020</value>
    </property>
    <property>
      <name>dfs.namenode.rpc-address.mycluster.nn2</name>
      <value>s105:8020</value>
    </property>
    
    <property>
      <name>dfs.namenode.http-address.mycluster.nn1</name>
      <value>s101:50070</value>
    </property>
    <property>
      <name>dfs.namenode.http-address.mycluster.nn2</name>
      <value>s105:50070</value>
    </property>
    
    <property>
      <name>dfs.namenode.shared.edits.dir</name>
      <value>qjournal://s102:8485;s103:8485;s104:8485/mycluster</value>
    </property>
    
    <property>
      <name>dfs.client.failover.proxy.provider.mycluster</name>
      <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
    </property>
    
    <!--  在容灾发生时,保护活跃的namenode -->
    <property>
          <name>dfs.ha.fencing.methods</name>
          <value>
              sshfence 
              shell(/bin/true)
          </value>
    </property>
    
    <property>
          <name>dfs.ha.fencing.ssh.private-key-files</name>
          <value>/home/yinzhengjie/.ssh/id_rsa</value>
    </property>
    
    <property>
             <name>dfs.ha.automatic-failover.enabled</name>
            <value>true</value>
    </property>
    
    </configuration>
    
    
    
    
    
    <!--
    hdfs-site.xml 配置文件的作用:
        #HDFS的相关设定,如文件副本的个数、块大小及是否使用强制权限
    等,此中的参数定义会覆盖hdfs-default.xml文件中的默认配置.
    
    dfs.replication 参数的作用:
        #为了数据可用性及冗余的目的,HDFS会在多个节点上保存同一个数据
    块的多个副本,其默认为3个。而只有一个节点的伪分布式环境中其仅用
    保存一个副本即可,这可以通过dfs.replication属性进行定义。它是一个
    软件级备份。
    
    dfs.namenode.name.dir 参数的作用:
            #本地磁盘目录,NN存储fsimage文件的地方。可以是按逗号分隔的目录列表,
    fsimage文件会存储在全部目录,冗余安全。这里多个目录设定,最好在多个磁盘,
    另外,如果其中一个磁盘故障,不会导致系统故障,会跳过坏磁盘。由于使用了HA,
    建议仅设置一个。如果特别在意安全,可以设置2个
    
    dfs.datanode.data.dir 参数的作用:
            #本地磁盘目录,HDFS数据应该存储Block的地方。可以是逗号分隔的目录列表
    (典型的,每个目录在不同的磁盘)。这些目录被轮流使用,一个块存储在这个目录,
    下一个块存储在下一个目录,依次循环。每个块在同一个机器上仅存储一份。不存在
    的目录被忽略。必须创建文件夹,否则被视为不存在。
    
    dfs.nameservices 参数的作用:
            #nameservices列表。逗号分隔。
    
    dfs.ha.namenodes.mycluster 参数的作用:
            #dfs.ha.namenodes.[nameservice ID]   命名空间中所有NameNode的唯一标示名称。
    可以配置多个,使用逗号分隔。该名称是可以让DataNode知道每个集群的所有NameNode。
    当前,每个集群最多只能配置两个NameNode。
    
    dfs.namenode.rpc-address.mycluster.nn1 参数的作用:
            #dfs.namenode.rpc-address.[nameservice ID].[name node ID]   每个namenode监听的RPC地址。
    
    dfs.namenode.http-address.mycluster.nn1 参数的作用:
            #dfs.namenode.http-address.[nameservice ID].[name node ID]   每个namenode监听的http地址。
    
    dfs.namenode.shared.edits.dir  参数的作用:
            #这是NameNode读写JNs组的uri。通过这个uri,NameNodes可以读写edit log内容。URI的格式"qjournal://host1:port1;host2:port2;h
    ost3:port3/journalId"。这里的host1、host2、host3指的是Journal Node的地址,这里必须是奇数个,至少3个;其中journalId是集群的唯一
    标识符,对于多个联邦命名空间,也使用同一个journalId。
    
    dfs.client.failover.proxy.provider.mycluster 参数的作用:
            #这里配置HDFS客户端连接到Active NameNode的一个java类
    
    dfs.ha.fencing.methods 参数的作用:
            #dfs.ha.fencing.methods 配置active namenode出错时的处理类。当active namenode出错时,一般需要关闭该进程。处理方式可以是s
    sh也可以是shell。
    
    dfs.ha.fencing.ssh.private-key-files 参数的作用:
            #使用sshfence时,SSH的私钥文件。 使用了sshfence,这个必须指定
    
    dfs.ha.automatic-failover.enabled 参数作用:
            #配置自动容灾,需要把它的值改为true!
    -->
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/hdfs-site.xml
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/core-site.xml 
    <?xml version="1.0" encoding="UTF-8"?>
    <configuration>
            <property>
                    <name>fs.defaultFS</name>
                    <value>hdfs://mycluster</value>
            </property>
            <property>
                    <name>hadoop.tmp.dir</name>
                    <value>/home/yinzhengjie/ha</value>
            </property>
            <property>
                    <name>hadoop.http.staticuser.user</name>
                    <value>yinzhengjie</value>
            </property>
    
    
            <property>
                     <name>ha.zookeeper.quorum</name>
                     <value>s102:2181,s103:2181,s104:2181</value>
            </property>
    </configuration>
    
    
    <!--
    
    core-site.xml配置文件的作用:
        用于定义系统级别的参数,如HDFS URL、Hadoop的临时
    目录以及用于rack-aware集群中的配置文件的配置等,此中的参
    数定义会覆盖core-default.xml文件中的默认配置。
    
    fs.defaultFS 参数的作用:
            #fs.defaultFS 客户端连接HDFS时,默认的路径前缀。如果前面配置了nameservice ID的值是mycluster,那么这里可以配置为授权信息
    的一部分
    
    hadoop.tmp.dir 参数的作用:
            #声明hadoop工作目录的地址。
    
    hadoop.http.staticuser.user 参数的作用:
            #在网页界面访问数据使用的用户名。
    
    ha.zookeeper.quorum 参数的作用:
            #指定zookeeper的节点。
    
    -->
    [yinzhengjie@s101 ~]$  
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/core-site.xml
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/yarn-site.xml 
    <?xml version="1.0"?>
    <configuration>
                    <property>
                            <name>yarn.resourcemanager.hostname</name>
                            <value>s101</value>
                    </property>
            <property>
                    <name>yarn.nodemanager.aux-services</name>
                    <value>mapreduce_shuffle</value>
            </property>
    </configuration>
    
    <!--
    
    yarn-site.xml配置文件的作用:
            #主要用于配置调度器级别的参数.
    yarn.resourcemanager.hostname 参数的作用:
            #指定资源管理器(resourcemanager)的主机名
    yarn.nodemanager.aux-services 参数的作用:
            #指定nodemanager使用shuffle
    
    -->
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/yarn-site.xml
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/mapred-site.xml
    <?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>
            <property>
                    <name>mapreduce.framework.name</name>
                    <value>yarn</value>
            </property>
    </configuration>
    
    <!--
    mapred-site.xml 配置文件的作用:
            #HDFS的相关设定,如reduce任务的默认个数、任务所能够使用内存
    的默认上下限等,此中的参数定义会覆盖mapred-default.xml文件中的
    默认配置.
    
    mapreduce.framework.name 参数的作用:
            #指定MapReduce的计算框架,有三种可选,第一种:local(本地),第
    二种是mapred(hadoop一代执行框架),第三种是yarn(二代执行框架),我
    们这里配置用目前版本最新的计算框架yarn即可。
    
    -->
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/mapred-site.xml
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/slaves 
    #指定从DataNode服务器
    s102
    s103
    s104
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/slaves
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/masters 
    #指定从NameNode服务器
    s101
    s105
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/masters
    [yinzhengjie@s101 ~]$ tail -7 /soft/hadoop/sbin/start-yarn.sh 
    # start resourceManager
    #"$bin"/yarn-daemon.sh --config $YARN_CONF_DIR  start resourcemanager
    "$bin"/yarn-daemons.sh --config $YARN_CONF_DIR --hosts masters start resourcemanager
    # start nodeManager
    "$bin"/yarn-daemons.sh --config $YARN_CONF_DIR  start nodemanager
    # start proxyserver
    #"$bin"/yarn-daemon.sh --config $YARN_CONF_DIR  start proxyserver
    [yinzhengjie@s101 ~]$ 
    此脚本存在问题,需要修改脚本,如果不修改默认只启动本地进程([yinzhengjie@s101 ~]$ tail -7 /soft/hadoop/sbin/start-yarn.sh)
    [yinzhengjie@s101 ~]$  tail -7 /soft/hadoop/sbin/stop-yarn.sh 
    # stop resourceManager
    #"$bin"/yarn-daemon.sh --config $YARN_CONF_DIR  stop resourcemanager
    "$bin"/yarn-daemons.sh --config $YARN_CONF_DIR --hosts masters stop resourcemanager
    # stop nodeManager
    "$bin"/yarn-daemons.sh --config $YARN_CONF_DIR  stop nodemanager
    # stop proxy server
    "$bin"/yarn-daemon.sh --config $YARN_CONF_DIR  stop proxyserver
    [yinzhengjie@s101 ~]$ 
    此脚本存在问题,需要修改脚本,如果不修改默认只停止本地进程([yinzhengjie@s101 ~]$ tail -7 /soft/hadoop/sbin/stop-yarn.sh )

    3>.同步配置文件

    [yinzhengjie@s101 ~]$ more `which xrsync.sh`
    #!/bin/bash
    #@author :yinzhengjie
    #blog:http://www.cnblogs.com/yinzhengjie
    #EMAIL:y1053419035@qq.com
    
    #判断用户是否传参
    if [ $# -lt 1 ];then
            echo "请输入参数";
            exit
    fi
    
    
    #获取文件路径
    file=$@
    
    #获取子路径
    filename=`basename $file`
    
    #获取父路径
    dirpath=`dirname $file`
    
    #获取完整路径
    cd $dirpath
    fullpath=`pwd -P`
    
    #同步文件到DataNode
    for (( i=102;i<=105;i++ ))
    do
            #使终端变绿色 
            tput setaf 2
            echo =========== s$i %file ===========
            #使终端变回原来的颜色,即白灰色
            tput setaf 7
            #远程执行命令
            rsync -lr $filename `whoami`@s$i:$fullpath
            #判断命令是否执行成功
            if [ $? == 0 ];then
                    echo "命令执行成功"
            fi
    done
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ more `which xrsync.sh`
    [yinzhengjie@s101 ~]$ xrsync.sh /soft/hadoop/etc/
    =========== s102 %file ===========
    命令执行成功
    =========== s103 %file ===========
    命令执行成功
    =========== s104 %file ===========
    命令执行成功
    =========== s105 %file ===========
    命令执行成功
    [yinzhengjie@s101 ~]$ 

    4>.格式化zk数据

    [yinzhengjie@s101 ~]$ hdfs zkfc -formatZK
    18/06/20 08:35:17 INFO tools.DFSZKFailoverController: Failover controller configured for NameNode NameNode at s101/172.16.30.101:8020
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:host.name=s101
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.version=1.8.0_131
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.home=/soft/jdk1.8.0_131/jre
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.class.path=/soft/hadoop-2.7.3/etc/hadoop:/soft/hadoop-2.7.3/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/stax-api-1.0-2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/activation-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jets3t-0.9.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/httpclient-4.2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/httpcore-4.2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-configuration-1.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-digester-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/avro-1.7.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/paranamer-2.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/gson-2.2.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hadoop-auth-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/zookeeper-3.4.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-framework-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-client-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsch-0.1.42.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/junit-4.11.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/mockito-all-1.8.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hadoop-annotations-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-math3-3.1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/xmlenc-0.52.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-httpclient-3.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-net-3.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-collections-3.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsp-api-2.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-json-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jettison-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-common-2.7.3-tests.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-nfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-2.7.3-tests.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/activation-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-client-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guice-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/javax.inject-1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/aopalliance-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-json-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jettison-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-api-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-client-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-registry-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/guice-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/javax.inject-1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/junit-4.11.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3-tests.jar:/contrib/capacity-scheduler/*.jar
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/soft/hadoop-2.7.3/lib/native
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:os.version=3.10.0-327.el7.x86_64
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:user.name=yinzhengjie
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:user.home=/home/yinzhengjie
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:user.dir=/home/yinzhengjie
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=s102:2181,s103:2181,s104:2181 sessionTimeout=5000 watcher=org.apache.hadoop.ha.ActiveStandbyElector$WatcherWithClientRef@74fe5c40
    18/06/20 08:35:18 INFO zookeeper.ClientCnxn: Opening socket connection to server s104/172.16.30.104:2181. Will not attempt to authenticate using SASL (unknown error)
    18/06/20 08:35:18 INFO zookeeper.ClientCnxn: Socket connection established to s104/172.16.30.104:2181, initiating session
    18/06/20 08:35:18 INFO zookeeper.ClientCnxn: Session establishment complete on server s104/172.16.30.104:2181, sessionid = 0x680000ca40a10000, negotiated timeout = 5000
    18/06/20 08:35:18 INFO ha.ActiveStandbyElector: Session connected.
    18/06/20 08:35:18 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/mycluster in ZK.
    18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Session: 0x680000ca40a10000 closed
    18/06/20 08:35:18 INFO zookeeper.ClientCnxn: EventThread shut down
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ echo $?
    0
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ hdfs zkfc -formatZK

    5>.启动hdfs

    [yinzhengjie@s101 ~]$ start-dfs.sh
    Starting namenodes on [s101 s105]
    s101: starting namenode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-namenode-s101.out
    s105: starting namenode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-namenode-s105.out
    s104: starting datanode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-datanode-s104.out
    s102: starting datanode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-datanode-s102.out
    s103: starting datanode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-datanode-s103.out
    Starting journal nodes [s102 s103 s104]
    s104: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s104.out
    s103: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s103.out
    s102: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s102.out
    Starting ZK Failover Controllers on NN hosts [s101 s105]
    s101: starting zkfc, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-zkfc-s101.out
    s105: starting zkfc, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-zkfc-s105.out
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ start-dfs.sh

    6>.检验hadoop的高可用

    [yinzhengjie@s101 ~]$ more `which xcall.sh`
    #!/bin/bash
    #@author :yinzhengjie
    #blog:http://www.cnblogs.com/yinzhengjie
    #EMAIL:y1053419035@qq.com
    
    
    #判断用户是否传参
    if [ $# -lt 1 ];then
            echo "请输入参数"
            exit
    fi
    
    #获取用户输入的命令
    cmd=$@
    
    for (( i=101;i<=105;i++ ))
    do
            #使终端变绿色 
            tput setaf 2
            echo ============= s$i $cmd ============
            #使终端变回原来的颜色,即白灰色
            tput setaf 7
            #远程执行命令
            ssh s$i $cmd
            #判断命令是否执行成功
            if [ $? == 0 ];then
                    echo "命令执行成功"
            fi
    done
    [yinzhengjie@s101 ~]$ 
    [yinzhengjie@s101 ~]$ more `which xcall.sh`
    [yinzhengjie@s101 ~]$ xcall.sh jps
    ============= s101 jps ============
    18710 NameNode
    19080 Jps
    19022 DFSZKFailoverController
    命令执行成功
    ============= s102 jps ============
    2265 QuorumPeerMain
    7739 Jps
    7661 JournalNode
    命令执行成功
    ============= s103 jps ============
    7704 Jps
    2266 QuorumPeerMain
    7627 JournalNode
    命令执行成功
    ============= s104 jps ============
    2274 QuorumPeerMain
    7715 Jps
    7637 JournalNode
    命令执行成功
    ============= s105 jps ============
    7777 DFSZKFailoverController
    7668 NameNode
    7849 Jps
    命令执行成功
    [yinzhengjie@s101 ~]$ 

    五.初学者遇到问题最霸道的解决方案:(这种暴力解决方式适合我这样测试集群中使用,如果你的架构跟我的一样,那么这种方法也适合你)

      温馨提示:如果你要格式化集群,最好是将之前的数据目录改名,若你没有删除或修改集群之前的数据目录,格式化后的版本信息仍然是上一次没有格式化的集群版本信息哟!这样很可能导致你的DataNode或者NameNode进程启动不了,或者存在刚刚启动不一会儿进程就挂掉了!

    [yinzhengjie@s101 ~]$ hadoop-daemons.sh start journalnode
    s103: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s103.out
    s102: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s102.out
    s104: starting journalnode, logging to /soft/hadoop-2.7.3/logs/hadoop-yinzhengjie-journalnode-s104.out
    [yinzhengjie@s101 ~]$ 
    启动journalnode进程([yinzhengjie@s101 ~]$ hadoop-daemons.sh start journalnode)
    [yinzhengjie@s101 ~]$ hdfs namenode -format
    18/06/21 06:46:12 INFO namenode.NameNode: STARTUP_MSG: 
    /************************************************************
    STARTUP_MSG: Starting NameNode
    STARTUP_MSG:   host = s101/172.16.30.101
    STARTUP_MSG:   args = [-format]
    STARTUP_MSG:   version = 2.7.3
    STARTUP_MSG:   classpath = /soft/hadoop-2.7.3/etc/hadoop:/soft/hadoop-2.7.3/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/stax-api-1.0-2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/activation-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jets3t-0.9.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/httpclient-4.2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/httpcore-4.2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-configuration-1.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-digester-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/avro-1.7.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/paranamer-2.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/gson-2.2.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hadoop-auth-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/zookeeper-3.4.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-framework-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-client-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsch-0.1.42.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/junit-4.11.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/mockito-all-1.8.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hadoop-annotations-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-math3-3.1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/xmlenc-0.52.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-httpclient-3.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-net-3.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-collections-3.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsp-api-2.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-json-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jettison-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-common-2.7.3-tests.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-nfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-2.7.3-tests.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/activation-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-client-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guice-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/javax.inject-1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/aopalliance-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-json-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jettison-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-api-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-client-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-registry-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/guice-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/javax.inject-1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/junit-4.11.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3-tests.jar:/contrib/capacity-scheduler/*.jar
    STARTUP_MSG:   build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r baa91f7c6bc9cb92be5982de4719c1c8af91ccff; compiled by 'root' on 2016-08-18T01:41Z
    STARTUP_MSG:   java = 1.8.0_131
    ************************************************************/
    18/06/21 06:46:12 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
    18/06/21 06:46:12 INFO namenode.NameNode: createNameNode [-format]
    18/06/21 06:46:12 WARN common.Util: Path /home/yinzhengjie/ha/dfs/name1 should be specified as a URI in configuration files. Please update hdfs configuration.
    18/06/21 06:46:12 WARN common.Util: Path /home/yinzhengjie/ha/dfs/name2 should be specified as a URI in configuration files. Please update hdfs configuration.
    18/06/21 06:46:12 WARN common.Util: Path /home/yinzhengjie/ha/dfs/name1 should be specified as a URI in configuration files. Please update hdfs configuration.
    18/06/21 06:46:12 WARN common.Util: Path /home/yinzhengjie/ha/dfs/name2 should be specified as a URI in configuration files. Please update hdfs configuration.
    Formatting using clusterid: CID-f4979818-1b00-4035-9ce6-6a84ab5a27e7
    18/06/21 06:46:12 INFO namenode.FSNamesystem: No KeyProvider found.
    18/06/21 06:46:12 INFO namenode.FSNamesystem: fsLock is fair:true
    18/06/21 06:46:12 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
    18/06/21 06:46:12 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Jun 21 06:46:12
    18/06/21 06:46:12 INFO util.GSet: Computing capacity for map BlocksMap
    18/06/21 06:46:12 INFO util.GSet: VM type       = 64-bit
    18/06/21 06:46:12 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB
    18/06/21 06:46:12 INFO util.GSet: capacity      = 2^21 = 2097152 entries
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: defaultReplication         = 3
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: maxReplication             = 512
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: minReplication             = 1
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: maxReplicationStreams      = 2
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: encryptDataTransfer        = false
    18/06/21 06:46:12 INFO blockmanagement.BlockManager: maxNumBlocksToLog          = 1000
    18/06/21 06:46:12 INFO namenode.FSNamesystem: fsOwner             = yinzhengjie (auth:SIMPLE)
    18/06/21 06:46:12 INFO namenode.FSNamesystem: supergroup          = supergroup
    18/06/21 06:46:12 INFO namenode.FSNamesystem: isPermissionEnabled = true
    18/06/21 06:46:12 INFO namenode.FSNamesystem: Determined nameservice ID: mycluster
    18/06/21 06:46:12 INFO namenode.FSNamesystem: HA Enabled: true
    18/06/21 06:46:12 INFO namenode.FSNamesystem: Append Enabled: true
    18/06/21 06:46:13 INFO util.GSet: Computing capacity for map INodeMap
    18/06/21 06:46:13 INFO util.GSet: VM type       = 64-bit
    18/06/21 06:46:13 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB
    18/06/21 06:46:13 INFO util.GSet: capacity      = 2^20 = 1048576 entries
    18/06/21 06:46:13 INFO namenode.FSDirectory: ACLs enabled? false
    18/06/21 06:46:13 INFO namenode.FSDirectory: XAttrs enabled? true
    18/06/21 06:46:13 INFO namenode.FSDirectory: Maximum size of an xattr: 16384
    18/06/21 06:46:13 INFO namenode.NameNode: Caching file names occuring more than 10 times
    18/06/21 06:46:13 INFO util.GSet: Computing capacity for map cachedBlocks
    18/06/21 06:46:13 INFO util.GSet: VM type       = 64-bit
    18/06/21 06:46:13 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB
    18/06/21 06:46:13 INFO util.GSet: capacity      = 2^18 = 262144 entries
    18/06/21 06:46:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
    18/06/21 06:46:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
    18/06/21 06:46:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension     = 30000
    18/06/21 06:46:13 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10
    18/06/21 06:46:13 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10
    18/06/21 06:46:13 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25
    18/06/21 06:46:13 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
    18/06/21 06:46:13 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
    18/06/21 06:46:13 INFO util.GSet: Computing capacity for map NameNodeRetryCache
    18/06/21 06:46:13 INFO util.GSet: VM type       = 64-bit
    18/06/21 06:46:13 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB
    18/06/21 06:46:13 INFO util.GSet: capacity      = 2^15 = 32768 entries
    Re-format filesystem in Storage Directory /home/yinzhengjie/ha/dfs/name1 ? (Y or N) y
    Re-format filesystem in Storage Directory /home/yinzhengjie/ha/dfs/name2 ? (Y or N) y
    Re-format filesystem in QJM to [172.16.30.102:8485, 172.16.30.103:8485, 172.16.30.104:8485] ? (Y or N) y
    18/06/21 06:46:18 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1075743885-172.16.30.101-1529588778298
    18/06/21 06:46:18 INFO common.Storage: Storage directory /home/yinzhengjie/ha/dfs/name1 has been successfully formatted.
    18/06/21 06:46:18 INFO common.Storage: Storage directory /home/yinzhengjie/ha/dfs/name2 has been successfully formatted.
    18/06/21 06:46:18 INFO namenode.FSImageFormatProtobuf: Saving image file /home/yinzhengjie/ha/dfs/name2/current/fsimage.ckpt_0000000000000000000 using no compression
    18/06/21 06:46:18 INFO namenode.FSImageFormatProtobuf: Saving image file /home/yinzhengjie/ha/dfs/name1/current/fsimage.ckpt_0000000000000000000 using no compression
    18/06/21 06:46:18 INFO namenode.FSImageFormatProtobuf: Image file /home/yinzhengjie/ha/dfs/name2/current/fsimage.ckpt_0000000000000000000 of size 358 bytes saved in 0 seconds.
    18/06/21 06:46:18 INFO namenode.FSImageFormatProtobuf: Image file /home/yinzhengjie/ha/dfs/name1/current/fsimage.ckpt_0000000000000000000 of size 358 bytes saved in 0 seconds.
    18/06/21 06:46:18 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
    18/06/21 06:46:18 INFO util.ExitUtil: Exiting with status 0
    18/06/21 06:46:18 INFO namenode.NameNode: SHUTDOWN_MSG: 
    /************************************************************
    SHUTDOWN_MSG: Shutting down NameNode at s101/172.16.30.101
    ************************************************************/
    [yinzhengjie@s101 ~]$
    格式化名称节点(hdfs namenode -format)
    [yinzhengjie@s101 ha]$ scp -r ~/ha yinzhengjie@s105:~
    VERSION                                                                                                                                             100%  206     0.2KB/s   00:00    
    seen_txid                                                                                                                                           100%    2     0.0KB/s   00:00    
    fsimage_0000000000000000000.md5                                                                                                                     100%   62     0.1KB/s   00:00    
    fsimage_0000000000000000000                                                                                                                         100%  358     0.4KB/s   00:00    
    VERSION                                                                                                                                             100%  206     0.2KB/s   00:00    
    seen_txid                                                                                                                                           100%    2     0.0KB/s   00:00    
    fsimage_0000000000000000000.md5                                                                                                                     100%   62     0.1KB/s   00:00    
    fsimage_0000000000000000000                                                                                                                         100%  358     0.4KB/s   00:00    
    [yinzhengjie@s101 ha]$ 
    将s101中的工作目录同步到s105([yinzhengjie@s101 ha]$ scp -r ~/ha yinzhengjie@s105:~)
    [yinzhengjie@s101 ~]$ xcall.sh jps
    ============= s101 jps ============
    18710 NameNode
    19080 Jps
    19022 DFSZKFailoverController
    命令执行成功
    ============= s102 jps ============
    2265 QuorumPeerMain
    7739 Jps
    7661 JournalNode
    命令执行成功
    ============= s103 jps ============
    7704 Jps
    2266 QuorumPeerMain
    7627 JournalNode
    命令执行成功
    ============= s104 jps ============
    2274 QuorumPeerMain
    7715 Jps
    7637 JournalNode
    命令执行成功
    ============= s105 jps ============
    7777 DFSZKFailoverController
    7668 NameNode
    7849 Jps
    命令执行成功
    [yinzhengjie@s101 ~]$ 
    检查服务启动情况([yinzhengjie@s101 ~]$ xcall.sh jps)
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  • 原文地址:https://www.cnblogs.com/yinzhengjie/p/9154265.html
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