ZooKeeper学习之路 （九）利用ZooKeeper搭建Hadoop的HA集群

Hadoop HA 原理概述

为什么会有 hadoop HA 机制呢？

　　HA：High Available，高可用

　　在Hadoop 2.0之前,在HDFS 集群中NameNode 存在单点故障 (SPOF：A Single Point of Failure)。 对于只有一个 NameNode 的集群，如果 NameNode 机器出现故障(比如宕机或是软件、硬件 升级)，那么整个集群将无法使用，直到 NameNode 重新启动

那如何解决呢？

　　HDFS 的 HA 功能通过配置 Active/Standby 两个 NameNodes 实现在集群中对 NameNode 的 热备来解决上述问题。如果出现故障，如机器崩溃或机器需要升级维护，这时可通过此种方 式将 NameNode 很快的切换到另外一台机器。

　　在一个典型的 HDFS(HA) 集群中，使用两台单独的机器配置为 NameNodes 。在任何时间点， 确保 NameNodes 中只有一个处于 Active 状态，其他的处在 Standby 状态。其中 ActiveNameNode 负责集群中的所有客户端操作，StandbyNameNode 仅仅充当备机，保证一 旦 ActiveNameNode 出现问题能够快速切换。

　　为了能够实时同步 Active 和 Standby 两个 NameNode 的元数据信息（实际上 editlog），需提 供一个共享存储系统，可以是 NFS、QJM（Quorum Journal Manager）或者 Zookeeper，Active Namenode 将数据写入共享存储系统，而 Standby 监听该系统，一旦发现有新数据写入，则 读取这些数据，并加载到自己内存中，以保证自己内存状态与 Active NameNode 保持基本一 致，如此这般，在紧急情况下 standby 便可快速切为 active namenode。为了实现快速切换， Standby 节点获取集群的最新文件块信息也是很有必要的。为了实现这一目标，DataNode 需 要配置 NameNodes 的位置，并同时给他们发送文件块信息以及心跳检测。

集群规划

　　描述：hadoop HA 集群的搭建依赖于 zookeeper，所以选取三台当做 zookeeper 集群 ，总共准备了四台主机，分别是 hadoop1，hadoop2，hadoop3，hadoop4 其中 hadoop1 和 hadoop2 做 namenode 的主备切换，hadoop3 和 hadoop4 做 resourcemanager 的主备切换

四台机器

集群服务器准备

1、 修改主机名

2、 修改 IP 地址

3、 添加主机名和 IP 映射

4、 添加普通用户 hadoop 用户并配置 sudoer 权限

5、 设置系统启动级别

6、 关闭防火墙/关闭 Selinux

7、 安装 JDK 两种准备方式：

　　1、 每个节点都单独设置，这样比较麻烦。线上环境可以编写脚本实现

　　2、 虚拟机环境可是在做完以上 7 步之后，就进行克隆

　　3、 然后接着再给你的集群配置 SSH 免密登陆和搭建时间同步服务

8、 配置 SSH 免密登录

9、 同步服务器时间

具体操作可以参考普通分布式搭建过程http://www.cnblogs.com/qingyunzong/p/8496127.html

集群安装

1、安装 Zookeeper 集群

具体安装步骤参考之前的文档http://www.cnblogs.com/qingyunzong/p/8619184.html

2、安装 hadoop 集群

（1）获取安装包

　　从官网或是镜像站下载

　　http://hadoop.apache.org/

　　http://mirrors.hust.edu.cn/apache/

（2）上传解压缩

[hadoop@hadoop1 ~]$ ls
apps  hadoop-2.7.-centos-6.7.tar.gz  movie2.jar  users.dat                zookeeper.out
data  log                             output2     zookeeper-3.4..tar.gz
[hadoop@hadoop1 ~]$ tar -zxvf hadoop-2.7.5-centos-6.7.tar.gz -C apps/

（3）修改配置文件

　　配置文件目录：/home/hadoop/apps/hadoop-2.7.5/etc/hadoop

　　修改 hadoop-env.sh文件

[hadoop@hadoop1 ~]$ cd apps/hadoop-2.7.5/etc/hadoop/
[hadoop@hadoop1 hadoop]$ echo $JAVA_HOME
/usr/local/jdk1..0_73
[hadoop@hadoop1 hadoop]$ vi hadoop-env.sh 

　　修改core-site.xml

[hadoop@hadoop1 hadoop]$ vi core-site.xml

 <configuration>
     <!-- 指定hdfs的nameservice为myha01 -->
     <property>
         <name>fs.defaultFS</name>
         <value>hdfs://myha01/</value>
     </property>

     <!-- 指定hadoop临时目录 -->
     <property>
         <name>hadoop.tmp.dir</name>
         <value>/home/hadoop/data/hadoopdata/</value>
     </property>

     <!-- 指定zookeeper地址 -->
     <property>
         <name>ha.zookeeper.quorum</name>
         <value>hadoop1:2181,hadoop2:2181,hadoop3:2181,hadoop4:2181</value>
     </property>

     <!-- hadoop链接zookeeper的超时时长设置 -->
     <property>
         <name>ha.zookeeper.session-timeout.ms</name>
         <value>1000</value>
         <description>ms</description>
     </property>
 </configuration>

　　修改hdfs-site.xml

[hadoop@hadoop1 hadoop]$ vi hdfs-site.xml 

 <configuration>

     <!-- 指定副本数 -->
     <property>
         <name>dfs.replication</name>
         <value>2</value>
     </property>

     <!-- 配置namenode和datanode的工作目录-数据存储目录 -->
     <property>
         <name>dfs.namenode.name.dir</name>
         <value>/home/hadoop/data/hadoopdata/dfs/name</value>
     </property>
     <property>
         <name>dfs.datanode.data.dir</name>
         <value>/home/hadoop/data/hadoopdata/dfs/data</value>
     </property>

     <!-- 启用webhdfs -->
     <property>
         <name>dfs.webhdfs.enabled</name>
         <value>true</value>
     </property>

     <!--指定hdfs的nameservice为myha01，需要和core-site.xml中的保持一致
                  dfs.ha.namenodes.[nameservice id]为在nameservice中的每一个NameNode设置唯一标示符。
         配置一个逗号分隔的NameNode ID列表。这将是被DataNode识别为所有的NameNode。
         例如，如果使用"myha01"作为nameservice ID，并且使用"nn1"和"nn2"作为NameNodes标示符
     -->
     <property>
         <name>dfs.nameservices</name>
         <value>myha01</value>
     </property>

     <!-- myha01下面有两个NameNode，分别是nn1，nn2 -->
     <property>
         <name>dfs.ha.namenodes.myha01</name>
         <value>nn1,nn2</value>
     </property>

     <!-- nn1的RPC通信地址 -->
     <property>
         <name>dfs.namenode.rpc-address.myha01.nn1</name>
         <value>hadoop1:9000</value>
     </property>

     <!-- nn1的http通信地址 -->
     <property>
         <name>dfs.namenode.http-address.myha01.nn1</name>
         <value>hadoop1:50070</value>
     </property>

     <!-- nn2的RPC通信地址 -->
     <property>
         <name>dfs.namenode.rpc-address.myha01.nn2</name>
         <value>hadoop2:9000</value>
     </property>

     <!-- nn2的http通信地址 -->
     <property>
         <name>dfs.namenode.http-address.myha01.nn2</name>
         <value>hadoop2:50070</value>
     </property>

     <!-- 指定NameNode的edits元数据的共享存储位置。也就是JournalNode列表
                  该url的配置格式：qjournal://host1:port1;host2:port2;host3:port3/journalId
         journalId推荐使用nameservice，默认端口号是：8485 -->
     <property>
         <name>dfs.namenode.shared.edits.dir</name>
         <value>qjournal://hadoop1:8485;hadoop2:8485;hadoop3:8485/myha01</value>
     </property>

     <!-- 指定JournalNode在本地磁盘存放数据的位置 -->
     <property>
         <name>dfs.journalnode.edits.dir</name>
         <value>/home/hadoop/data/journaldata</value>
     </property>

     <!-- 开启NameNode失败自动切换 -->
     <property>
         <name>dfs.ha.automatic-failover.enabled</name>
         <value>true</value>
     </property>

     <!-- 配置失败自动切换实现方式 -->
     <property>
         <name>dfs.client.failover.proxy.provider.myha01</name>
         <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
     </property>

     <!-- 配置隔离机制方法，多个机制用换行分割，即每个机制暂用一行 -->
     <property>
         <name>dfs.ha.fencing.methods</name>
         <value>
             sshfence
             shell(/bin/true)
         </value>
     </property>

     <!-- 使用sshfence隔离机制时需要ssh免登陆 -->
     <property>
         <name>dfs.ha.fencing.ssh.private-key-files</name>
         <value>/home/hadoop/.ssh/id_rsa</value>
     </property>

     <!-- 配置sshfence隔离机制超时时间 -->
     <property>
         <name>dfs.ha.fencing.ssh.connect-timeout</name>
         <value>30000</value>
     </property>

     <property>
         <name>ha.failover-controller.cli-check.rpc-timeout.ms</name>
         <value>60000</value>
     </property>
 </configuration>

　　修改mapred-site.xml

[hadoop@hadoop1 hadoop]$ cp mapred-site.xml.template mapred-site.xml
[hadoop@hadoop1 hadoop]$ vi mapred-site.xml

 <configuration>
     <!-- 指定mr框架为yarn方式 -->
     <property>
         <name>mapreduce.framework.name</name>
         <value>yarn</value>
     </property>

     <!-- 指定mapreduce jobhistory地址 -->
     <property>
         <name>mapreduce.jobhistory.address</name>
         <value>hadoop1:10020</value>
     </property>

     <!-- 任务历史服务器的web地址 -->
     <property>
         <name>mapreduce.jobhistory.webapp.address</name>
         <value>hadoop1:19888</value>
     </property>
 </configuration>

　　修改yarn-site.xml

[hadoop@hadoop1 hadoop]$ vi yarn-site.xml 

 <configuration>
     <!-- 开启RM高可用 -->
     <property>
         <name>yarn.resourcemanager.ha.enabled</name>
         <value>true</value>
     </property>

     <!-- 指定RM的cluster id -->
     <property>
         <name>yarn.resourcemanager.cluster-id</name>
         <value>yrc</value>
     </property>

     <!-- 指定RM的名字 -->
     <property>
         <name>yarn.resourcemanager.ha.rm-ids</name>
         <value>rm1,rm2</value>
     </property>

     <!-- 分别指定RM的地址 -->
     <property>
         <name>yarn.resourcemanager.hostname.rm1</name>
         <value>hadoop3</value>
     </property>

     <property>
         <name>yarn.resourcemanager.hostname.rm2</name>
         <value>hadoop4</value>
     </property>

     <!-- 指定zk集群地址 -->
     <property>
         <name>yarn.resourcemanager.zk-address</name>
         <value>hadoop1:2181,hadoop2:2181,hadoop3:2181</value>
     </property>

     <property>
         <name>yarn.nodemanager.aux-services</name>
         <value>mapreduce_shuffle</value>
     </property>

     <property>
         <name>yarn.log-aggregation-enable</name>
         <value>true</value>
     </property>

     <property>
         <name>yarn.log-aggregation.retain-seconds</name>
         <value>86400</value>
     </property>

     <!-- 启用自动恢复 -->
     <property>
         <name>yarn.resourcemanager.recovery.enabled</name>
         <value>true</value>
     </property>

     <!-- 制定resourcemanager的状态信息存储在zookeeper集群上 -->
     <property>
         <name>yarn.resourcemanager.store.class</name>
         <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
     </property>
 </configuration>

　　修改slaves

[hadoop@hadoop1 hadoop]$ vi slaves 

hadoop1
hadoop2
hadoop3
hadoop4

（4）将hadoop安装包分发到其他集群节点

重点强调： 每台服务器中的hadoop安装包的目录必须一致， 安装包的配置信息还必须保持一致
重点强调： 每台服务器中的hadoop安装包的目录必须一致， 安装包的配置信息还必须保持一致
重点强调： 每台服务器中的hadoop安装包的目录必须一致， 安装包的配置信息还必须保持一致

[hadoop@hadoop1 apps]$ scp -r hadoop-2.7.5/ hadoop2:$PWD
[hadoop@hadoop1 apps]$ scp -r hadoop-2.7.5/ hadoop3:$PWD
[hadoop@hadoop1 apps]$ scp -r hadoop-2.7.5/ hadoop4:$PWD

（5）配置Hadoop环境变量

千万注意：

1、如果你使用root用户进行安装。 vi /etc/profile 即可 系统变量

2、如果你使用普通用户进行安装。 vi ~/.bashrc 用户变量

本人是用的hadoop用户安装的

[hadoop@hadoop1 ~]$ vi .bashrc

export HADOOP_HOME=/home/hadoop/apps/hadoop-2.7.
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:

　　使环境变量生效

[hadoop@hadoop1 bin]$ source ~/.bashrc 

（6）查看hadoop版本

[hadoop@hadoop4 ~]$ hadoop version
Hadoop 2.7.
Subversion Unknown -r Unknown
Compiled by root on --24T05:30Z
Compiled with protoc 2.5.
From source with checksum 9f118f95f47043332d51891e37f736e9
This command was run using /home/hadoop/apps/hadoop-2.7./share/hadoop/common/hadoop-common-2.7..jar
[hadoop@hadoop4 ~]$ 

Hadoop HA集群的初始化

重点强调：一定要按照以下步骤逐步进行操作

重点强调：一定要按照以下步骤逐步进行操作

重点强调：一定要按照以下步骤逐步进行操作

1、启动ZooKeeper

　　启动4台服务器上的zookeeper服务

　　hadoop1

[hadoop@hadoop1 conf]$ zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4./bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[hadoop@hadoop1 conf]$ jps
 Jps
2647 QuorumPeerMain
[hadoop@hadoop1 conf]$ zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4./bin/../conf/zoo.cfg
Mode: follower
[hadoop@hadoop1 conf]$ 

　　hadoop2

[hadoop@hadoop2 conf]$ zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4./bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[hadoop@hadoop2 conf]$ jps
2592 QuorumPeerMain
 Jps
[hadoop@hadoop2 conf]$ zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4./bin/../conf/zoo.cfg
Mode: follower
[hadoop@hadoop2 conf]$ 

　   hadoop3

[hadoop@hadoop3 conf]$ zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4./bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[hadoop@hadoop3 conf]$ jps
16612 QuorumPeerMain
 Jps
[hadoop@hadoop3 conf]$ zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4./bin/../conf/zoo.cfg
Mode: leader
[hadoop@hadoop3 conf]$ 

　　hadoop4

[hadoop@hadoop4 conf]$ zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4./bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[hadoop@hadoop4 conf]$ jps
 Jps
3567 QuorumPeerMain
[hadoop@hadoop4 conf]$ zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4./bin/../conf/zoo.cfg
Mode: observer
[hadoop@hadoop4 conf]$ 

2、在你配置的各个journalnode节点启动该进程

　　按照之前的规划，我的是在hadoop1、hadoop2、hadoop3上进行启动，启动命令如下

　　hadoop1

[hadoop@hadoop1 conf]$ hadoop-daemon.sh start journalnode
starting journalnode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-journalnode-hadoop1.out
[hadoop@hadoop1 conf]$ jps
 JournalNode
 Jps
 QuorumPeerMain
[hadoop@hadoop1 conf]$ 

　　hadoop2

[hadoop@hadoop2 conf]$ hadoop-daemon.sh start journalnode
starting journalnode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-journalnode-hadoop2.out
[hadoop@hadoop2 conf]$ jps
 QuorumPeerMain
 JournalNode
 Jps
[hadoop@hadoop2 conf]$ 

　　hadoop3

[hadoop@hadoop3 conf]$ hadoop-daemon.sh start journalnode
starting journalnode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-journalnode-hadoop3.out
[hadoop@hadoop3 conf]$ jps
 QuorumPeerMain
 JournalNode
 Jps
[hadoop@hadoop3 conf]$ 

3、格式化namenode

　　先选取一个namenode（hadoop1）节点进行格式化

[hadoop@hadoop1 ~]$ hadoop namenode -format

 [hadoop@hadoop1 ~]$ hadoop namenode -format
 DEPRECATED: Use of this script to execute hdfs command is deprecated.
 Instead use the hdfs command for it.

 // :: INFO namenode.NameNode: STARTUP_MSG:
 /************************************************************
 STARTUP_MSG: Starting NameNode
 STARTUP_MSG:   host = hadoop1/192.168.123.102
 STARTUP_MSG:   args = [-format]
 STARTUP_MSG:   version = 2.7.5
 STARTUP_MSG:   classpath = /home/hadoop/apps/hadoop-2.7.5/etc/hadoop:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/paranamer-2.3.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/httpclient-4.2.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jets3t-0.9.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-net-3.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jetty-sslengine-6.1.26.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jetty-6.1.26.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-math3-3.1.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jsr305-3.0.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jsch-0.1.54.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-cli-1.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jsp-api-2.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/hadoop-auth-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/servlet-api-2.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/mockito-all-1.8.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/zookeeper-3.4.6.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-io-2.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-logging-1.1.3.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jersey-server-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/log4j-1.2.17.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/guava-11.0.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jersey-json-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/xz-1.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-lang-2.6.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/gson-2.2.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/httpcore-4.2.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-compress-1.4.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-httpclient-3.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jettison-1.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/xmlenc-0.52.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/hadoop-annotations-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-codec-1.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/asm-3.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/curator-framework-2.7.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/curator-client-2.7.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-digester-1.8.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/activation-1.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jetty-util-6.1.26.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/stax-api-1.0-2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/avro-1.7.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jersey-core-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/junit-4.11.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/netty-3.6.2.Final.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-collections-3.2.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/hamcrest-core-1.3.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/commons-configuration-1.6.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/hadoop-common-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/hadoop-nfs-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/common/hadoop-common-2.7.5-tests.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-io-2.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/guava-11.0.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/asm-3.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/hadoop-hdfs-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/hdfs/hadoop-hdfs-2.7.5-tests.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jetty-6.1.26.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/commons-cli-1.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/servlet-api-2.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/commons-io-2.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-server-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/log4j-1.2.17.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/aopalliance-1.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/guava-11.0.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-json-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/javax.inject-1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/xz-1.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/commons-lang-2.6.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-client-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jettison-1.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/commons-codec-1.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/guice-3.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/asm-3.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/activation-1.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jersey-core-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-client-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-common-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-api-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-common-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-registry-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/javax.inject-1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/xz-1.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/guice-3.0.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/asm-3.2.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/junit-4.11.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.5-tests.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.5.jar:/home/hadoop/apps/hadoop-2.7.5/contrib/capacity-scheduler/*.jar:/home/hadoop/apps/hadoop-2.7.5/contrib/capacity-scheduler/*.jar
 STARTUP_MSG:   build = Unknown -r Unknown; compiled by 'root' on 2017-12-24T05:30Z
 STARTUP_MSG:   java = 1.8.0_73
 ************************************************************/
 // :: INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
 // :: INFO namenode.NameNode: createNameNode [-format]
 // :: WARN common.Util: Path /home/hadoop/data/hadoopdata/dfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
 // :: WARN common.Util: Path /home/hadoop/data/hadoopdata/dfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
 Formatting using clusterid: CID-5fa14c27-b311-4a35--f32749a3c7c5
 // :: INFO namenode.FSNamesystem: No KeyProvider found.
 // :: INFO namenode.FSNamesystem: fsLock is fair: true
 // :: INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false
 // :: INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=
 // :: INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
 // :: INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to :::00.000
 // :: INFO blockmanagement.BlockManager: The block deletion will start around  三月  ::
 // :: INFO util.GSet: Computing capacity for map BlocksMap
 // :: INFO util.GSet: VM type       = -bit
 // :: INFO util.GSet: 2.0% max memory 966.7 MB = 19.3 MB
 // :: INFO util.GSet: capacity      = ^ =  entries
 // :: INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
 // :: INFO blockmanagement.BlockManager: defaultReplication         =
 // :: INFO blockmanagement.BlockManager: maxReplication             =
 // :: INFO blockmanagement.BlockManager: minReplication             =
 // :: INFO blockmanagement.BlockManager: maxReplicationStreams      =
 // :: INFO blockmanagement.BlockManager: replicationRecheckInterval =
 // :: INFO blockmanagement.BlockManager: encryptDataTransfer        = false
 // :: INFO blockmanagement.BlockManager: maxNumBlocksToLog          =
 // :: INFO namenode.FSNamesystem: fsOwner             = hadoop (auth:SIMPLE)
 // :: INFO namenode.FSNamesystem: supergroup          = supergroup
 // :: INFO namenode.FSNamesystem: isPermissionEnabled = true
 // :: INFO namenode.FSNamesystem: Determined nameservice ID: myha01
 // :: INFO namenode.FSNamesystem: HA Enabled: true
 // :: INFO namenode.FSNamesystem: Append Enabled: true
 // :: INFO util.GSet: Computing capacity for map INodeMap
 // :: INFO util.GSet: VM type       = -bit
 // :: INFO util.GSet: 1.0% max memory 966.7 MB = 9.7 MB
 // :: INFO util.GSet: capacity      = ^ =  entries
 // :: INFO namenode.FSDirectory: ACLs enabled? false
 // :: INFO namenode.FSDirectory: XAttrs enabled? true
 // :: INFO namenode.FSDirectory: Maximum size of an xattr:
 // :: INFO namenode.NameNode: Caching file names occuring more than  times
 // :: INFO util.GSet: Computing capacity for map cachedBlocks
 // :: INFO util.GSet: VM type       = -bit
 // :: INFO util.GSet: 0.25% max memory 966.7 MB = 2.4 MB
 // :: INFO util.GSet: capacity      = ^ =  entries
 // :: INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
 // :: INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes =
 // :: INFO namenode.FSNamesystem: dfs.namenode.safemode.extension     =
 // :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets =
 // :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users =
 // :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = ,,
 // :: INFO namenode.FSNamesystem: Retry cache on namenode is enabled
 // :: INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is  millis
 // :: INFO util.GSet: Computing capacity for map NameNodeRetryCache
 // :: INFO util.GSet: VM type       = -bit
 // :: INFO util.GSet: 0.029999999329447746% max memory 966.7 MB = 297.0 KB
 // :: INFO util.GSet: capacity      = ^ =  entries
 // :: INFO namenode.FSImage: Allocated new BlockPoolId: BP--192.168.123.102-
 // :: INFO common.Storage: Storage directory /home/hadoop/data/hadoopdata/dfs/name has been successfully formatted.
 // :: INFO namenode.FSImageFormatProtobuf: Saving image file /home/hadoop/data/hadoopdata/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression
 // :: INFO namenode.FSImageFormatProtobuf: Image file /home/hadoop/data/hadoopdata/dfs/name/current/fsimage.ckpt_0000000000000000000 of size  bytes saved in  seconds.
 // :: INFO namenode.NNStorageRetentionManager: Going to retain  images with txid >=
 // :: INFO util.ExitUtil: Exiting with status
 // :: INFO namenode.NameNode: SHUTDOWN_MSG:
 /************************************************************
 SHUTDOWN_MSG: Shutting down NameNode at hadoop1/192.168.123.102
 ************************************************************/
 [hadoop@hadoop1 ~]$ 

4、要把在hadoop1节点上生成的元数据 给复制到 另一个namenode（hadoop2）节点上

[hadoop@hadoop1 ~]$ cd data/
[hadoop@hadoop1 data]$ ls
hadoopdata journaldata zkdata
[hadoop@hadoop1 data]$ scp -r hadoopdata/ hadoop2:$PWD
VERSION 100% 206 0.2KB/s 00:00
fsimage_0000000000000000000.md5 100% 62 0.1KB/s 00:00
fsimage_0000000000000000000 100% 323 0.3KB/s 00:00
seen_txid 100% 2 0.0KB/s 00:00
[hadoop@hadoop1 data]$

5、格式化zkfc

重点强调：只能在nameonde节点进行

重点强调：只能在nameonde节点进行

重点强调：只能在nameonde节点进行

[hadoop@hadoop1 data]$ hdfs zkfc -formatZK

 [hadoop@hadoop1 data]$ hdfs zkfc -formatZK
 // :: INFO tools.DFSZKFailoverController: Failover controller configured for NameNode NameNode at hadoop1/192.168.123.102:
 // :: INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.-, built on // : GMT
 // :: INFO zookeeper.ZooKeeper: Client environment:host.name=hadoop1
 // :: INFO zookeeper.ZooKeeper: Client environment:java.version=1.8.0_73
 // :: INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
 // :: INFO zookeeper.ZooKeeper: Client environment:java.home=/usr/local/jdk1..0_73/jre
 // :: INFO zookeeper.ZooKeeper: Client environment:java.class.path=/home/hadoop/apps/hadoop-2.7./etc/hadoop:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/paranamer-2.3.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/httpclient-4.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jackson-mapper-asl-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jets3t-0.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-net-3.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/apacheds-i18n-2.0.-M15.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jetty-sslengine-6.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jetty-6.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-math3-3.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jsr305-3.0..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jaxb-impl-2.2.-.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jsch-0.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-cli-1.2.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jsp-api-2.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/hadoop-auth-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/servlet-api-2.5.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/mockito-all-1.8..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/zookeeper-3.4..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jackson-core-asl-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-io-2.4.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-logging-1.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jaxb-api-2.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jersey-server-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/log4j-1.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/slf4j-log4j12-1.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/guava-11.0..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jersey-json-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/xz-1.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-lang-2.6.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/gson-2.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/httpcore-4.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-compress-1.4..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-httpclient-3.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jettison-1.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/slf4j-api-1.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/api-asn1-api-1.0.-M20.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/api-util-1.0.-M20.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/xmlenc-0.52.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/hadoop-annotations-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-beanutils-core-1.8..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-codec-1.4.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/protobuf-java-2.5..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/asm-3.2.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/curator-framework-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/apacheds-kerberos-codec-2.0.-M15.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/htrace-core-3.1.-incubating.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/curator-client-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-digester-1.8.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/activation-1.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jackson-xc-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-beanutils-1.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jetty-util-6.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/stax-api-1.0-.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/avro-1.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jersey-core-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/junit-4.11.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/netty-3.6..Final.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/jackson-jaxrs-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-collections-3.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/hamcrest-core-1.3.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/curator-recipes-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/commons-configuration-1.6.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/hadoop-common-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/hadoop-nfs-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/common/hadoop-common-2.7.-tests.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/jackson-mapper-asl-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/xercesImpl-2.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/jetty-6.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/jsr305-3.0..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/commons-cli-1.2.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/servlet-api-2.5.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/netty-all-4.0..Final.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/jackson-core-asl-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/commons-io-2.4.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/commons-logging-1.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/jersey-server-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/log4j-1.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/guava-11.0..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/commons-daemon-1.0..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/commons-lang-2.6.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/xml-apis-1.3..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/xmlenc-0.52.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/commons-codec-1.4.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/protobuf-java-2.5..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/asm-3.2.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/htrace-core-3.1.-incubating.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/jetty-util-6.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/jersey-core-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/lib/netty-3.6..Final.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/hadoop-hdfs-nfs-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/hadoop-hdfs-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/hdfs/hadoop-hdfs-2.7.-tests.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jackson-mapper-asl-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jetty-6.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jsr305-3.0..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jaxb-impl-2.2.-.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/guice-servlet-3.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/commons-cli-1.2.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/servlet-api-2.5.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/zookeeper-3.4..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jackson-core-asl-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/commons-io-2.4.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/zookeeper-3.4.-tests.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/commons-logging-1.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jaxb-api-2.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jersey-server-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/log4j-1.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/aopalliance-1.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/guava-11.0..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jersey-json-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/javax.inject-.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/xz-1.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/commons-lang-2.6.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/commons-compress-1.4..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jersey-client-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jersey-guice-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jettison-1.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/commons-codec-1.4.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/protobuf-java-2.5..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/guice-3.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/asm-3.2.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/activation-1.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jackson-xc-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jetty-util-6.1..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/stax-api-1.0-.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jersey-core-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/netty-3.6..Final.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/jackson-jaxrs-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/lib/commons-collections-3.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-client-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-tests-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-common-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-api-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-common-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-registry-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/paranamer-2.3.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/jackson-core-asl-1.9..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/commons-io-2.4.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/log4j-1.2..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/javax.inject-.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/xz-1.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/commons-compress-1.4..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/hadoop-annotations-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/protobuf-java-2.5..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/guice-3.0.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/asm-3.2.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/avro-1.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/junit-4.11.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/netty-3.6..Final.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.-tests.jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7..jar:/home/hadoop/apps/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7..jar:/home/hadoop/apps/hadoop-2.7./contrib/capacity-scheduler/*.jar
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/home/hadoop/apps/hadoop-2.7.5/lib/native
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:os.version=2.6.32-573.el6.x86_64
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:user.name=hadoop
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:user.home=/home/hadoop
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Client environment:user.dir=/home/hadoop/data
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=hadoop1:2181,hadoop2:2181,hadoop3:2181,hadoop4:2181 sessionTimeout=1000 watcher=org.apache.hadoop.ha.ActiveStandbyElector$WatcherWithClientRef@9597028
 18/03/23 20:40:39 INFO zookeeper.ClientCnxn: Opening socket connection to server hadoop2/192.168.123.103:2181. Will not attempt to authenticate using SASL (unknown error)
 18/03/23 20:40:39 INFO zookeeper.ClientCnxn: Socket connection established to hadoop2/192.168.123.103:2181, initiating session
 18/03/23 20:40:39 INFO zookeeper.ClientCnxn: Session establishment complete on server hadoop2/192.168.123.103:2181, sessionid = 0x26252cfa5e70000, negotiated timeout = 4000
 18/03/23 20:40:39 INFO ha.ActiveStandbyElector: Session connected.
 18/03/23 20:40:39 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/myha01 in ZK.
 18/03/23 20:40:39 INFO zookeeper.ZooKeeper: Session: 0x26252cfa5e70000 closed
 18/03/23 20:40:39 INFO zookeeper.ClientCnxn: EventThread shut down
 [hadoop@hadoop1 data]$ 

启动集群

1、启动HDFS

　　可以从启动输出日志里面看到启动了哪些进程

[hadoop@hadoop1 ~]$ start-dfs.sh
Starting namenodes on [hadoop1 hadoop2]
hadoop2: starting namenode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-namenode-hadoop2.out
hadoop1: starting namenode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-namenode-hadoop1.out
hadoop3: starting datanode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-datanode-hadoop3.out
hadoop4: starting datanode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-datanode-hadoop4.out
hadoop2: starting datanode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-datanode-hadoop2.out
hadoop1: starting datanode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-datanode-hadoop1.out
Starting journal nodes [hadoop1 hadoop2 hadoop3]
hadoop3: journalnode running as process . Stop it first.
hadoop2: journalnode running as process . Stop it first.
hadoop1: journalnode running as process . Stop it first.
Starting ZK Failover Controllers on NN hosts [hadoop1 hadoop2]
hadoop2: starting zkfc, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-zkfc-hadoop2.out
hadoop1: starting zkfc, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-zkfc-hadoop1.out
[hadoop@hadoop1 ~]$ 

　　查看各节点进程是否正常

　　hadoop1

　　hadoop2

　　hadoop3

　　hadoop4

2、启动YARN

　　在主备 resourcemanager 中随便选择一台进行启动

[hadoop@hadoop4 ~]$ start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /home/hadoop/apps/hadoop-2.7./logs/yarn-hadoop-resourcemanager-hadoop4.out
hadoop3: starting nodemanager, logging to /home/hadoop/apps/hadoop-2.7./logs/yarn-hadoop-nodemanager-hadoop3.out
hadoop2: starting nodemanager, logging to /home/hadoop/apps/hadoop-2.7./logs/yarn-hadoop-nodemanager-hadoop2.out
hadoop4: starting nodemanager, logging to /home/hadoop/apps/hadoop-2.7./logs/yarn-hadoop-nodemanager-hadoop4.out
hadoop1: starting nodemanager, logging to /home/hadoop/apps/hadoop-2.7./logs/yarn-hadoop-nodemanager-hadoop1.out
[hadoop@hadoop4 ~]$ 

　　正常启动之后，检查各节点的进程

hadoop1

hadoop2

hadoop3

hadoop4

若备用节点的 resourcemanager 没有启动起来，则手动启动起来，在hadoop3上进行手动启动

[hadoop@hadoop3 ~]$ yarn-daemon.sh start resourcemanager
starting resourcemanager, logging to /home/hadoop/apps/hadoop-2.7./logs/yarn-hadoop-resourcemanager-hadoop3.out
[hadoop@hadoop3 ~]$ jps
 ResourceManager
 QuorumPeerMain
 JournalNode
 Jps
 NodeManager
 DataNode
[hadoop@hadoop3 ~]$ 

3、启动 mapreduce 任务历史服务器

[hadoop@hadoop1 ~]$ mr-jobhistory-daemon.sh start historyserver
starting historyserver, logging to /home/hadoop/apps/hadoop-2.7./logs/mapred-hadoop-historyserver-hadoop1.out
[hadoop@hadoop1 ~]$ jps
 NodeManager
 JournalNode
 Jps
 DFSZKFailoverController
 QuorumPeerMain
 DataNode
 JobHistoryServer
 NameNode
[hadoop@hadoop1 ~]$ 

4、查看各主节点的状态

HDFS

[hadoop@hadoop1 ~]$ hdfs haadmin -getServiceState nn1
standby
[hadoop@hadoop1 ~]$ hdfs haadmin -getServiceState nn2
active
[hadoop@hadoop1 ~]$ 

YARN

[hadoop@hadoop4 ~]$ yarn rmadmin -getServiceState rm1
standby
[hadoop@hadoop4 ~]$ yarn rmadmin -getServiceState rm2
active
[hadoop@hadoop4 ~]$ 

5、WEB界面进行查看

HDFS

hadoop1

hadoop2

YARN

standby节点会自动跳到avtive节点

MapReduce历史服务器web界面

集群性能测试

1、干掉 active namenode， 看看集群有什么变化

目前hadoop2上的namenode节点是active状态，干掉他的进程看看hadoop1上的standby状态的namenode能否自动切换成active状态

[hadoop@hadoop2 ~]$ jps
 QuorumPeerMain
 DFSZKFailoverController
 NodeManager
 DataNode
 Jps
 NameNode
 JournalNode
[hadoop@hadoop2 ~]$ kill - 

　　hadoop2

　　hadoop1

自动切换成功

2、在上传文件的时候干掉 active namenode， 看看有什么变化

　　首先将hadoop2上的namenode节点手动启动起来

[hadoop@hadoop2 ~]$ hadoop-daemon.sh start namenode
starting namenode, logging to /home/hadoop/apps/hadoop-2.7./logs/hadoop-hadoop-namenode-hadoop2.out
[hadoop@hadoop2 ~]$ jps
 QuorumPeerMain
 DFSZKFailoverController
 NodeManager
 DataNode
 NameNode
 JournalNode
 Jps
[hadoop@hadoop2 ~]$ 

　　找一个比较大的文件，进行文件上传操作，5秒钟的时候干掉active状态的namenode，看看文件是否能上传成功

　　hadoop2进行上传

[hadoop@hadoop2 ~]$ ll
总用量
drwxrwxr-x  hadoop hadoop       3月   : apps
drwxrwxr-x  hadoop hadoop       3月   : data
-rw-rw-r--  hadoop hadoop  3月   : hadoop-2.7.-centos-6.7.tar.gz
drwxrwxr-x  hadoop hadoop       3月   : log
-rw-rw-r--  hadoop hadoop       3月   : zookeeper.out
[hadoop@hadoop2 ~]$ hadoop fs -put hadoop-2.7.5-centos-6.7.tar.gz /hadoop/

　　hadoop1准备随时干掉namenode

[hadoop@hadoop1 ~]$ jps
 DataNode
 DFSZKFailoverController
 QuorumPeerMain
 JournalNode
 Jps
 NodeManager
 JobHistoryServer
4015 NameNode
[hadoop@hadoop1 ~]$ kill -9 4015

　　hadoop2上的信息，在干掉hadoop1上namenode进程的时候，hadoop2报错

 [hadoop@hadoop2 ~]$ hadoop fs -put hadoop-2.7.-centos-6.7.tar.gz /hadoop/
 // :: INFO retry.RetryInvocationHandler: Exception while invoking addBlock of class ClientNamenodeProtocolTranslatorPB over hadoop1/192.168.123.102:. Trying to fail over immediately.
 java.io.EOFException: End of File Exception between local host is: "hadoop2/192.168.123.103"; destination host is: "hadoop1":; : java.io.EOFException; For more details see:  http://wiki.apache.org/hadoop/EOFException
     at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
     at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:)
     at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:)
     at java.lang.reflect.Constructor.newInstance(Constructor.java:)
     at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:)
     at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:)
     at org.apache.hadoop.ipc.Client.call(Client.java:)
     at org.apache.hadoop.ipc.Client.call(Client.java:)
     at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:)
     at com.sun.proxy.$Proxy10.addBlock(Unknown Source)
     at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:)
     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
     at java.lang.reflect.Method.invoke(Method.java:)
     at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:)
     at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:)
     at com.sun.proxy.$Proxy11.addBlock(Unknown Source)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:)
 Caused by: java.io.EOFException
     at java.io.DataInputStream.readInt(DataInputStream.java:)
     at org.apache.hadoop.ipc.Client$Connection.receiveRpcResponse(Client.java:)
     at org.apache.hadoop.ipc.Client$Connection.run(Client.java:)
 // :: INFO retry.RetryInvocationHandler: Exception while invoking addBlock of class ClientNamenodeProtocolTranslatorPB over hadoop2/192.168.123.103: after  fail over attempts. Trying to fail over after sleeping for 1454ms.
 org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.ipc.StandbyException): Operation category READ is not supported in state standby
     at org.apache.hadoop.hdfs.server.namenode.ha.StandbyState.checkOperation(StandbyState.java:)
     at org.apache.hadoop.hdfs.server.namenode.NameNode$NameNodeHAContext.checkOperation(NameNode.java:)
     at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkOperation(FSNamesystem.java:)
     at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:)
     at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:)
     at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:)
     at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:)
     at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$.callBlockingMethod(ClientNamenodeProtocolProtos.java)
     at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:)
     at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:)
     at org.apache.hadoop.ipc.Server$Handler$.run(Server.java:)
     at org.apache.hadoop.ipc.Server$Handler$.run(Server.java:)
     at java.security.AccessController.doPrivileged(Native Method)
     at javax.security.auth.Subject.doAs(Subject.java:)
     at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:)
     at org.apache.hadoop.ipc.Server$Handler.run(Server.java:)

     at org.apache.hadoop.ipc.Client.call(Client.java:)
     at org.apache.hadoop.ipc.Client.call(Client.java:)
     at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:)
     at com.sun.proxy.$Proxy10.addBlock(Unknown Source)
     at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:)
     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
     at java.lang.reflect.Method.invoke(Method.java:)
     at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:)
     at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:)
     at com.sun.proxy.$Proxy11.addBlock(Unknown Source)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:)
 // :: INFO retry.RetryInvocationHandler: Exception while invoking addBlock of class ClientNamenodeProtocolTranslatorPB over hadoop1/192.168.123.102: after  fail over attempts. Trying to fail over after sleeping for 1109ms.
 java.net.ConnectException: Call From hadoop2/192.168.123.103 to hadoop1: failed on connection exception: java.net.ConnectException: 拒绝连接; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
     at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
     at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:)
     at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:)
     at java.lang.reflect.Constructor.newInstance(Constructor.java:)
     at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:)
     at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:)
     at org.apache.hadoop.ipc.Client.call(Client.java:)
     at org.apache.hadoop.ipc.Client.call(Client.java:)
     at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:)
     at com.sun.proxy.$Proxy10.addBlock(Unknown Source)
     at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:)
     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
     at java.lang.reflect.Method.invoke(Method.java:)
     at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:)
     at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:)
     at com.sun.proxy.$Proxy11.addBlock(Unknown Source)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:)
     at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:)
 Caused by: java.net.ConnectException: 拒绝连接
     at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
     at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:)
     at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:)
     at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:)
     at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:)
     at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:)
     at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:)
     at org.apache.hadoop.ipc.Client$Connection.access$(Client.java:)
     at org.apache.hadoop.ipc.Client.getConnection(Client.java:)
     at org.apache.hadoop.ipc.Client.call(Client.java:)
     ...  more
 [hadoop@hadoop2 ~]$ 

　　在HDFS系统或web界面查看是否上传成功

　　命令查看

[hadoop@hadoop1 ~]$ hadoop fs -ls /hadoop/
Found  items
-rw-r--r--    hadoop supergroup   -- : /hadoop/hadoop-2.7.-centos-6.7.tar.gz
[hadoop@hadoop1 ~]$ 

　　web界面下载

　　发现HDFS系统的文件大小和我们要上传的文件大小一致，均为199007110，说明在上传过程中干掉active状态的namenode，我们仍可以上传成功，HA起作用了

3、干掉 active resourcemanager， 看看集群有什么变化

　　目前hadoop4上的resourcemanager是活动的，干掉他的进程观察情况

[hadoop@hadoop4 ~]$ jps
 ResourceManager
 QuorumPeerMain
 Jps
 DataNode
 NodeManager
[hadoop@hadoop4 ~]$ kill -9 3248

　　发现hadoop4的web界面打不开了

　　打开hadoop3上YARN的web界面查看，发现hadoop3上的resourcemanager变为active状态

4、在执行任务的时候干掉 active resourcemanager，看看集群有什么变化

　　上传一个比较大的文件到HDFS系统上

[hadoop@hadoop1 output2]$ hadoop fs -mkdir -p /words/input/
[hadoop@hadoop1 output2]$ ll
总用量
-rw-r--r--.  hadoop hadoop  3月   : part-r-
-rw-r--r--.  hadoop hadoop         3月   : _SUCCESS
[hadoop@hadoop1 output2]$ hadoop fs -put part-r-00000 /words/input/words.txt
[hadoop@hadoop1 output2]$ 

　　执行wordcount进行单词统计，在map执行过程中干掉active状态的resourcemanager，观察情况变化

　　首先启动hadoop4上的resourcemanager进程

[hadoop@hadoop4 ~]$ yarn-daemon.sh start resourcemanager
starting resourcemanager, logging to /home/hadoop/apps/hadoop-2.7./logs/yarn-hadoop-resourcemanager-hadoop4.out
[hadoop@hadoop4 ~]$ jps
 QuorumPeerMain
 ResourceManager
 Jps
 DataNode
 NodeManager
[hadoop@hadoop4 ~]$ 

　　在hadoop1上执行单词统计

[hadoop@hadoop1 ~]$ cd apps/hadoop-2.7.5/share/hadoop/mapreduce/
[hadoop@hadoop1 mapreduce]$ hadoop jar hadoop-mapreduce-examples-2.7.5.jar wordcount /words/input/ /words/output/

　　在hadoop3上随时准备干掉resourcemanager进程

[hadoop@hadoop3 ~]$ jps
 JournalNode
 NodeManager
 Jps
 QuorumPeerMain
 DataNode
3757 ResourceManager
[hadoop@hadoop3 ~]$ kill -9 3757

　　在map阶段进行到43%时干掉resourcemanager进程

 [hadoop@hadoop1 mapreduce]$ hadoop jar hadoop-mapreduce-examples-2.7..jar wordcount /words/input/ /words/output/
 // :: INFO input.FileInputFormat: Total input paths to process :
 // :: INFO mapreduce.JobSubmitter: number of splits:
 // :: INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1521857142109_0001
 // :: INFO impl.YarnClientImpl: Submitted application application_1521857142109_0001
 // :: INFO mapreduce.Job: The url to track the job: http://hadoop3:8088/proxy/application_1521857142109_0001/
 // :: INFO mapreduce.Job: Running job: job_1521857142109_0001
 // :: INFO mapreduce.Job: Job job_1521857142109_0001 running in uber mode : false
 // :: INFO mapreduce.Job:  map % reduce %
 // :: INFO mapreduce.Job:  map % reduce %
 // :: INFO mapreduce.Job:  map % reduce %
 // :: INFO mapreduce.Job:  map % reduce %
 // :: INFO mapreduce.Job:  map % reduce %
 // :: INFO mapreduce.Job: Job job_1521857142109_0001 completed successfully
 // :: INFO mapreduce.Job: Counters:
     File System Counters
         FILE: Number of bytes read=
         FILE: Number of bytes written=
         FILE: Number of read operations=
         FILE: Number of large read operations=
         FILE: Number of write operations=
         HDFS: Number of bytes read=
         HDFS: Number of bytes written=
         HDFS: Number of read operations=
         HDFS: Number of large read operations=
         HDFS: Number of write operations=
     Job Counters
         Launched map tasks=
         Launched reduce tasks=
         Data-local map tasks=
         Total time spent by all maps in occupied slots (ms)=
         Total time spent by all reduces in occupied slots (ms)=
         Total time spent by all map tasks (ms)=
         Total time spent by all reduce tasks (ms)=
         Total vcore-milliseconds taken by all map tasks=
         Total vcore-milliseconds taken by all reduce tasks=
         Total megabyte-milliseconds taken by all map tasks=
         Total megabyte-milliseconds taken by all reduce tasks=
     Map-Reduce Framework
         Map input records=
         Map output records=
         Map output bytes=
         Map output materialized bytes=
         Input split bytes=
         Combine input records=
         Combine output records=
         Reduce input groups=
         Reduce shuffle bytes=
         Reduce input records=
         Reduce output records=
         Spilled Records=
         Shuffled Maps =
         Failed Shuffles=
         Merged Map outputs=
         GC time elapsed (ms)=
         CPU time spent (ms)=
         Physical memory (bytes) snapshot=
         Virtual memory (bytes) snapshot=
         Total committed heap usage (bytes)=
     Shuffle Errors
         BAD_ID=
         CONNECTION=
         IO_ERROR=
         WRONG_LENGTH=
         WRONG_MAP=
         WRONG_REDUCE=
     File Input Format Counters
         Bytes Read=
     File Output Format Counters
         Bytes Written=
 [hadoop@hadoop1 mapreduce]$ 

　　发现计算过程没有任何报错，web界面也显示任务执行成功