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  • Hadoop2.6 Ha 安装

    Hadoop 2.6安装文档

    版本说明:hadoop 2.6  linux-64位

    Zookeeper3.4.6 jdk 1.7.0_75

    1、       Ssh无密码

    ssh-keygen

    vimauthorized_keys

    把每台机子上的id_rsa.pub内容拷贝到authorized_keys

    Scp到其它机器上

    2、       jdk安装

    解压目录

    jdk环境变量

    3、       Zookeeper安装

    详见zookeeper安装文档

    4、       必要目录创建

    NameNode数据目录 /data/nn

    DataNode数据目录 /data/dn

    JournalNode数据目录 /data/jn

    Yarn数据目录 /data/yarn/local

    5、       修改配置文件

    Core-site.xml

    Hdfs-site.xml

    Slaves

    Yarn-site.xml

    注:修改对数,详见附件

    6、       配置环境变量

    exportJAVA_HOME=/usr/local/jdk1.7.0_75

    exportJRE_HOME=/usr/local/jdk1.7.0_75/jre

    exportPATH=$PATH:/usr/local/jdk1.7.0_75/bin

    exportCLASSPATH=.:$JAVA_HOME/lib:$JAVA_HOME/jre/lib

     

    exportZOOKEEPER_HOME=/usr/local/zookeeper-3.4.6

    PATH=$ZOOKEEPER_HOME/bin:$PATH

     

    exportHADOOP_HOME=/usr/local/hadoop-2.6.0

    exportPATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

    7、       启动集群

    启动zookeeper

    ZkServer.shstart

    格式化zookeeper  

    bin/hdfszkfc –formatZK

    启动journalnode

    sbin/hadoop-daemon.shstart journalnode

    格式化Namenode  

    bin/hdfsnamenode -format

    启动格式化的namenode

    sbin/hadoop-daemon.sh startnamenode

    同步namenode  

    bin/hdfs namenode–bootstrapStandby

    启动同步的namenode

    sbin/hadoop-daemon.shstart namenode

    启动datanode

    hdfsdatanode >null 2>&1 &

    启动resourcemanager

    yarnresourcemanager >null 2>&1 &

    启动nodemanager

    yarnnodemanager >null 2>&1 &

    启动zkfc

    hdfszkfc >null 2>&1 &

    附件

    Core-site.xml

    <configuration>
    
     <property>
    
        <name>fs.defaultFS</name>
    
        <value>hdfs://mycluster</value>
    
      </property>
    
    <property>
    
    <name>ha.zookeeper.quorum</name>
    
    <value>database:2181,spark02:2181,spark03:2181,spark04:2181,spark05:2181</value>
    
    </property>
    
    </configuration>


    Slave

    spark03
    
    spark04
    
    spark05


    yarn-site.xml

     

    <configuration>
    
    <property>
    
    <name>yarn.nodemanager.aux-services</name>
    
    <value>mapreduce_shuffle</value>
    
    </property>
    
    <property>
    
    <name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
    
    <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    
    </property>
    
    <property>
    
    <name>yarn.log-aggregation-enable</name>
    
    <value>true</value>
    
    </property>
    
    <property>
    
    <description>Listof directories to store localized files in.</description>
    
    <name>yarn.nodemanager.local-dirs</name>
    
    <value>file:///data/yarn/local</value>
    
    </property>
    
    <property>
    
    <description>Classpathfor typical applications.</description>
    
    <name>yarn.application.classpath</name>
    
    <value>
    
    $HADOOP_CONF_DIR,
    
    $HADOOP_COMMON_HOME/*,$HADOOP_COMMON_HOME/lib/*,
    
    $HADOOP_HDFS_HOME/*,$HADOOP_HDFS_HOME/lib/*,
    
    $HADOOP_MAPRED_HOME/*,$HADOOP_MAPRED_HOME/lib/*,
    
    $HADOOP_YARN_HOME/*,$HADOOP_YARN_HOME/lib/*
    
    </value>
    
    </property>
    
    <property>
    
    <name>yarn.resourcemanager.ha.enabled</name>
    
    <value>true</value>
    
    </property>
    
    <property>
    
    <name>yarn.resourcemanager.ha.rm-ids</name>
    
    <value>rm1,rm2</value>
    
    </property>
    
    <property>
    
    <name>yarn.resourcemanager.hostname.rm1</name>
    
    <value>database</value>
    
    </property>
    
    <property>
    
    <name>yarn.resourcemanager.hostname.rm2</name>
    
    <value>spark02</value>
    
    </property>
    
    <property>
    
    <name>yarn.resourcemanager.recovery.enabled</name>
    
    <value>true</value>
    
    </property>
    
    <property>
    
    <name>yarn.resourcemanager.store.class</name>
    
    <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
    
    </property>
    
    <property>
    
    <name>yarn.resourcemanager.zk-address</name>
    
    <value>database:2181,spark02:2181,spark03:2181,spark04:2181,spark05:2181</value>
    
    <description>For multiple zk services, separate themwith comma</description>
    
    </property>
    
    <property>
    
    <name>yarn.resourcemanager.cluster-id</name>
    
    <value>yarn-ha</value>
    
    </property>
    
    </configuration>

    Hdfs-site.xml

    <configuration>
    <property>
    <name>dfs.permissions.superusergroup</name>
    <value>hadoop</value>
    </property>
    <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:///data/nn</value>
    </property>
    <property>
    <name>dfs.datanode.data.dir</name>
    <value>file:///data/dn</value>
    </property>
    <property>
    <name>dfs.webhdfs.enabled</name>
    <value>true</value>
    </property>
    <property>
    <name>dfs.webhdfs.user.provider.user.pattern</name>
    <value>^[A-Za-z0-9_][A-Za-z0-9._-]*[$]?$</value>
    </property>
    <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>database:8020</value>
    </property>
    <property>
    <name>dfs.namenode.rpc-address.mycluster.nn2</name>
    <value>spark02:8020</value>
    </property>
    <property>
    <name>dfs.namenode.http-address.mycluster.nn1</name>
    <value>database:50070</value>
    </property>
    <property>
    <name>dfs.namenode.http-address.mycluster.nn2</name>
    <value>spark02:50070</value>
    </property>
    <property>
    <name>dfs.namenode.shared.edits.dir</name>
    <value>qjournal://database:8485;spark02:8485;spark03:8485/mycluster</value>
    </property>
    <property>
    <name>dfs.journalnode.edits.dir</name>
    <value>/data/jn</value>
    </property>
    <property>
    <name>dfs.client.failover.proxy.provider.mycluster</name>
    <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
    </property>
    <property>
    <name>dfs.ha.fencing.methods</name>
    <value>sshfence</value>
    </property>
    <property>
    <name>dfs.ha.fencing.ssh.private-key-files</name>
    <value>/root/.ssh/id_rsa</value>
    </property>
    <property>
    <name>dfs.ha.automatic-failover.enabled</name>
    <value>true</value>
    </property>
    <property>
    <name>dfs.client.read.shortcircuit</name>
    <value>true</value>
    </property>
    <property> 
    <name>dfs.domain.socket.path</name>  
    <value>${hadoop.tmp.dir}/sockets/dn._PORT</value> 
    </property>
    <property>
    <name>dfs.client.read.shortcircuit.streams.cache.size</name>
    <value>1000</value>
    </property>
    <property>
    <name>dfs.client.read.shortcircuit.streams.cache.expiry.ms</name>
    <value>10000</value>
    </property>
    <property>
    <name>dfs.datanode.hdfs-blocks-metadata.enabled</name>
    <value>true</value>
    </property>
    </configuration>
    

    
    

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  • 原文地址:https://www.cnblogs.com/smarthhl/p/5097057.html
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