yarn hadoop-2.3.0 installation cluster Centos 64bits

Apache Hadoop -2.2.0 - How to Install a Three Nodes Cluster

http://tonylixu.blogspot.ca/2014/02/apache-hadoop-how-to-install-three.html

Centos 6.5 hadoop 2.2.0 全分布式安装

http://xjliao.me/2014/03/21/hadoop-2.2.0-cluster-setup.html

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cluster: n0,n1,n2

n0:NameNode,ResourceManager ;

n1.n2:DataNode,NodeManager;

1. prerequiration

1.1 添加用户hm

#useradd hm

#passwd hm

1.2 jdk 1.6/1.7

Remove OpenJDK.
    yum -y remove  *jdk*
    yum -y remove  *java*

1.3 ssh 无密码登录

  1.所有机器: 使用hm用户登录
      $cd /home/hm
      $mkdir .ssh

   2.  在namenode上生成密钥对
     $ ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa
     $ cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys
    2.1  .ssh目录要设成700 有执行权限
    2.2  authorized_keys要设成600 否则会出错
    2.3  还有ssh 登陆要加入用户名的 比如(需要密码)
      $ssh  n1
      $ssh  n2

   3. 复制公钥(需要密码)
      $cd   .ssh
      $scp  authorized_keys   n1:/home/hm/.ssh
    $scp   authorized_keys  n2:/home/hm/.ssh
   4.测试 (！！不需要密码)
     ssh  n1
     ssh  n2

2. hadoop 通用配置

2.1 hadoop-env.sh

2.2 slave 工作节点

3. hadoop四大组件配置

3.1 组件core-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://n0:9000</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131072</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>file:/home/hm/temp</value>
</property>
<property>
<name>hadoop.proxyuser.hm.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.hm.groups</name>
<value>*</value>
</property>
</configuration>

3.2 组件 hdfs-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>n0:9001</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/home/hm/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/home/hm/dfs/data</value>
</property>
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
</configuration>

3.3 组件yarn-site.xml

<?xml version="1.0"?>

<configuration>

<!-- Site specific YARN configuration properties -->
<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.resourcemanager.address</name>
<value>n0:8032</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>n0:8030</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>n0:8031</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>n0:8033</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>n0:8088</value>
</property>
</configuration>
                                                 

3.4 组件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>
<property>
<name>mapreduce.jobhistory.address</name>
<value>n0:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>n0:19888</value>
</property>
</configuration>

4. 启动和停止

4.1 启动

sbin/start-dfs.sh

sbin/start-yarn.sh

4.2 停止

sbin/stop-dfs.sh

sbin/stop-yarn.sh

5.测试

运行wordcount单词计数案例：

$ mkdir input
$ cat > input/file
This is word count example
using hadoop 2.2.0

将目录加入hadoop:

$ bin/hadoop hdfs -copyFromLocal input /input

在HADOOP_HOME运行wordcount案例：:
$ bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.3.0.jar wordcount /input /output
检查输出：
$ bin/hadoop dfs -cat /out/*

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