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Centos6.X虚拟机配置Hadoop2.6的步骤

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  • 通过xmanager的Xftp上传hadoop-2.6.4.tar.gz文件到/opt目录

  • 解压缩hadoop-2.6.4.tar.gz 文件
    tar -zxf hadoop-2.6.4.tar.gz -C /usr/local
  • 解压后即可,看到/usr/local/hadoop-2.6.4文件夹

    1. 配置Hadoop

    进入目录:
    cd /usr/local/hadoop-2.6.4/etc/hadoop/
    依次修改下面的文件:
    4.1 core-site.xml(在底部Configuration标签内添加以下Configuration标签内的内容,其他文件也是)
    <configuration>
    <property>
    <name>fs.defaultFS</name>
    <value>hdfs://master:8020</value>
    </property>
    <property>
    <name>hadoop.tmp.dir</name>
    <value>/var/log/hadoop/tmp</value>
    </property>
    </configuration>

    4.2 hadoop-env.sh
    export JAVA_HOME=/usr/java/jdk1.7.0_80

    4.3 hdfs-site.xml

    <configuration>
    <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:///data/hadoop/hdfs/name</value>
    </property>
    <property>
    <name>dfs.datanode.data.dir</name>
    <value>file:///data/hadoop/hdfs/data</value>
    </property>
    <property>
    <name>dfs.namenode.secondary.http-address</name>
    <value>master:50090</value>
    </property>
    <property>
    <name>dfs.replication</name>
    <value>3</value>
    </property>
    </configuration>

    4.4 mapred-site.xml
    复制cp mapred-site.xml.template mapred-site.xml
    <configuration>
    <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
    </property>
    <!-- jobhistory properties -->
    <property>
    <name>mapreduce.jobhistory.address</name>
    <value>master:10020</value>
    </property>
    <property>
    <name>mapreduce.jobhistory.webapp.address</name>
    <value>master:19888</value>
    </property>
    </configuration>

    4.5 yarn-site.xml
    <configuration>
    <property>
    <name>yarn.resourcemanager.hostname</name>
    <value>master</value>
    </property>
    <property>
    <name>yarn.resourcemanager.address</name>
    <value>${yarn.resourcemanager.hostname}:8032</value>
    </property>
    <property>
    <name>yarn.resourcemanager.scheduler.address</name>
    <value>${yarn.resourcemanager.hostname}:8030</value>
    </property>
    <property>
    <name>yarn.resourcemanager.webapp.address</name>
    <value>${yarn.resourcemanager.hostname}:8088</value>
    </property>
    <property>
    <name>yarn.resourcemanager.webapp.https.address</name>
    <value>${yarn.resourcemanager.hostname}:8090</value>
    </property>
    <property>
    <name>yarn.resourcemanager.resource-tracker.address</name>
    <value>${yarn.resourcemanager.hostname}:8031</value>
    </property>
    <property>
    <name>yarn.resourcemanager.admin.address</name>
    <value>${yarn.resourcemanager.hostname}:8033</value>
    </property>
    <property>
    <name>yarn.nodemanager.local-dirs</name>
    <value>/data/hadoop/yarn/local</value>
    </property>
    <property>
    <name>yarn.log-aggregation-enable</name>
    <value>true</value>
    </property>
    <property>
    <name>yarn.nodemanager.remote-app-log-dir</name>
    <value>/data/tmp/logs</value>
    </property>
    <property>
    <name>yarn.log.server.url</name>
    <value>http://master:19888/jobhistory/logs/</value>;
    <description>URL for job history server</description>
    </property>
    <property>
    <name>yarn.nodemanager.vmem-check-enabled</name>
    <value>false</value>
    </property>
    <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.nodemanager.resource.memory-mb</name>
    <value>2048</value>
    </property>
    <property>
    <name>yarn.scheduler.minimum-allocation-mb</name>
    <value>512</value>
    </property>
    <property>
    <name>yarn.scheduler.maximum-allocation-mb</name>
    <value>4096</value>
    </property>
    <property>
    <name>mapreduce.map.memory.mb</name>
    <value>2048</value>
    </property>
    <property>
    <name>mapreduce.reduce.memory.mb</name>
    <value>2048</value>
    </property>
    <property>
    <name>yarn.nodemanager.resource.cpu-vcores</name>
    <value>1</value>
    </property>
    </configuration>

    4.6 yarn-env.sh

    export JAVA_HOME=/usr/java/jdk1.7.0_80

    4.7 slaves
    删除localhost,添加:
    slave1
    slave2
    slave3

    4.8 设置IP映射
    编辑各节点/etc/hosts
    添加:
    192.168.128.130 master master.centos.com
    192.168.128.131 slave1 slave1.centos.com
    192.168.128.132 slave2 slave2.centos.com
    192.168.128.133 slave3 slave3.centos.com

    4.9 克隆虚拟机,如果在配置前已提前克隆,则需拷贝hadoop安装文件到集群slave节点
    scp -r /usr/local/hadoop-2.6.4 slave1:/usr/local
    scp -r /usr/local/hadoop-2.6.4 slave2:/usr/local
    scp -r /usr/local/hadoop-2.6.4 slave3:/usr/local

    5.配置SSH无密码登录
    (1)使用ssh-keygen产生公钥与私钥对。
    输入命令“ssh-keygen -t rsa”,接着按三次Enter键

    [root@master ~]# ssh-keygen -t rsa
    Generating public/private rsa key pair.
    Enter file in which to save the key (/root/.ssh/id_rsa):
    Created directory ‘/root/.ssh‘.
    Enter passphrase (empty for no passphrase):
    Enter same passphrase again:
    Your identification has been saved in /root/.ssh/id_rsa.
    Your public key has been saved in /root/.ssh/id_rsa.pub.
    The key fingerprint is:
    a6:13:5a:7b:54:eb:77:58:bd:56:ef:d0:64:90:66:d4 root@master.centos.com
    The key‘s randomart image is:
    +--[ RSA 2048]----+
    | .. |
    | . .E|
    | . = |
    | . . o o |
    | o S . . =|
    | o * . o ++|
    | . + . . o ooo|
    | o . ..o |
    | .|
    +-----------------+

    生成私有密钥id_rsa和公有密钥id_rsa.pub两个文件。
    (2)用ssh-copy-id将公钥复制到远程机器中
    ssh-copy-id -i /root/.ssh/id_rsa.pub master//依次输入yes,123456(root用户的密码)
    ssh-copy-id -i /root/.ssh/id_rsa.pub slave1
    ssh-copy-id -i /root/.ssh/id_rsa.pub slave2
    ssh-copy-id -i /root/.ssh/id_rsa.pub slave3
    (3)验证是否设置无密码登录
    依次输入
    ssh slave1
    ssh slave2
    ssh slave3

    6.配置时间同步服务
    (1)安装NTP服务。在各节点:
    yum -y install ntp
    (2)设置master节点为NTP服务主节点,
    使用命令“vim /etc/ntp.conf”打开/etc/ntp.conf文件,注释掉以server开头的行,并添加:
    restrict 192.168.0.0 mask 255.255.255.0 nomodify notrap
    server 127.127.1.0
    fudge 127.127.1.0 stratum 10

    (3)在所有slave节点中配置NTP,同样修改/etc/ntp.conf文件,注释掉server开头的行,并添加:
    server master

    (4)执行命令“service iptables stop & chkconfig iptables off”永久性关闭防火墙,主节点和从节点都要关闭。
    (5)启动NTP服务。
    ① 在master节点执行命令“service ntpd start & chkconfig ntpd on”
    ② 在slave1、slave2、slave3上执行命令“ntpdate master”即可同步时间
    ③ 在slave1、slave2、slave3上分别执行“service ntpd start & chkconfig ntpd on”即可启动并永久启动NTP服务。

    7.在/etc/profile添加JAVA_HOME和Hadoop路径
    export HADOOP_HOME=/usr/local/hadoop-2.6.4
    export JAVA_HOME=/usr/java/jdk1.7.0_80
    export PATH=$HADOOP_HOME/bin:$PATH:$JAVA_HOME/bin

    source /etc/profile使修改生效

    1. 格式化NameNode
      进入目录
      cd /usr/local/hadoop-2.6.4/bin

    执行格式化
    ./hdfs namenode -format

    9.启动集群
    进入目录
    cd /usr/local/hadoop-2.6.4/sbin
    执行启动:
    ./start-dfs.sh
    ./start-yarn.sh
    ./mr-jobhistory-daemon.sh start historyserver

    使用jps,查看进程
    [root@master sbin]# jps
    1765 NameNode
    1929 SecondaryNameNode
    2378 JobHistoryServer
    2412 Jps
    2077 ResourceManager

    [root@slave1 ~]# jps
    1844 Jps
    1612 DataNode
    1711 NodeManager

    1. 关闭防火墙(在所有节点执行):
      service iptables stop
      chkconfig iptables off

    11.在Windows下C:\Windows\System32\drivers\etc\hosts添加IP映射
    192.168.128.130 master master.centos.com
    192.168.128.131 slave1 slave1.centos.com
    192.168.128.132 slave2 slave2.centos.com
    192.168.128.133 slave3 slave3.centos.com

    1. 浏览器查看:

    http://master:50070
    http://master:8088

    Centos6.X虚拟机配置Hadoop2.6的步骤

    原文:https://blog.51cto.com/14850283/2601411

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