YARN的基础配置

基于HADOOP3.0+Centos7.0的yarn基础配置；

执行步骤：（1）配置集群yarn （2）启动、测试集群（3）在yarn上执行wordcount案例

一、配置yarn集群  

1.配置yarn-env.sh 

添加：export JAVA_HOME=/opt/module/jdk1.8.0_144 

  2.配置yarn-site.xml

<!-- reducer获取数据的方式-->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>

<!-- 指定YARN的ResourceManager的地址-->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>hadoop101</value>
</property>

<!--在etc/hadoop/yarn-site.xml文件中，修改检查虚拟内存的属性为false-->
<property>
      <name>yarn.nodemanager.vmem-check-enabled</name>
     <value>false</value>
     </property>

     <!--引入hadoop路径-->
    <property>
    <name>yarn.application.classpath</name>

    <value>
        /opt/hadoop-2.6.0/etc/hadoop,
        /opt/hadoop-2.6.0/share/hadoop/common/*,
        /opt/hadoop-2.6.0/share/hadoop/common/lib/*,
        /opt/hadoop-2.6.0/share/hadoop/hdfs/*,
        /opt/hadoop-2.6.0/share/hadoop/hdfs/lib/*,
        /opt/hadoop-2.6.0/share/hadoop/mapreduce/*,
        /opt/hadoop-2.6.0/share/hadoop/mapreduce/lib/*,
        /opt/hadoop-2.6.0/share/hadoop/yarn/*,
        /opt/hadoop-2.6.0/share/hadoop/yarn/lib/*
    </value>
     </property>

 

 3.配置：mapred-env.sh

export JAVA_HOME=/opt/module/jdk1.8.0_144 

  4.配置mapred-site.xml

<!-- 指定mr运行在yarn上-->
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property> 
<property>
  <name>yarn.application.classpath</name>
       <value>
           /opt/hadoop-2.6.0/etc/hadoop,
            /opt/hadoop-2.6.0/share/hadoop/common/*,
            /opt/hadoop-2.6.0/share/hadoop/common/lib/*,
            /opt/hadoop-2.6.0/share/hadoop/hdfs/*,
            /opt/hadoop-2.6.0/share/hadoop/hdfs/lib/*,
           /opt/hadoop-2.6.0/share/hadoop/mapreduce/*,
           /opt/hadoop-2.6.0/share/hadoop/mapreduce/lib/*,
            /opt/hadoop-2.6.0/share/hadoop/yarn/*,
            /opt/hadoop-2.6.0/share/hadoop/yarn/lib/*
        </value>
 </property>

 

二、启动集群

1.启动hdfs集群（namenode+datanode） 

  2.启动yarn集群（resourceManger+nodeManager）

sbin/start-yarn.sh   or pasting

yarn --daemon start resourcemanager

yarn --daemon start nodemanager

3.jps+回车 查看进程

访问 http://192.168.1.101:8088/cluster 

三、运行案例 

1.删除文件系统上原来的output文件

hdfs dfs -rm -R /user/atguigu/output

2.执行mapreduce程序

hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar wordcount /user/atguigu/input /user/atguigu/output

3.查看运行结果

hdfs dfs -cat /user/atguigu/output/* 

 

 

 

历史服务器配置

配置mapred-site.xml

<property>
<name>mapreduce.jobhistory.address</name>
<value>0.0.0.0:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>0.0.0.0:19888</value>
</property>

启动命令：

mapred --daemon stop historyserver
or
sbin/mr-jobhistory-daemon.sh start historyserver
访问地址： http://ip:19888/jobhistory