本篇内容主要讲解“linux中jdk环境变量的搭建”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“linux中jdk环境变量的搭建”吧!

1.在Linux中jdk环境变量的配置

JAVA_HOME=/usr/share/jdk1.6.0_35

PATH=$JAVA_HOME/bin:$PATH

CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

export JAVA_HOME

export PATH

export CLASSPATH

2.修改hadoop-env.sh

修改 JAVA_HOME

3.修改core-site.xml

<configuration>
    <property>
    <name>fs.defaultFS</name>
    <value>hdfs://master:9000</value>
    </property>
     <property>
    <name>hadoop.tmp.dir</name>
    <value>/data/hadoop/tmp1</value>
    </property>
    <property>
    <name>io.file.buffer.size</name>
    <value>4096</value>
    </property>
    </configuration>

4.修改hdfs-site.xml

<configuration>
  <property>
      <name>dfs.replication</name>
      <value>2</value>
  </property>
  <property>
      <name>dfs.namenode.name.dir</name>
      <value>file:////data/hadoop/dfs/name</value>
  </property>
  <property>
      <name>dfs.datanode.data.dir</name>
      <value>file:////data/hadoop/dfs/data</value>
  </property>
  <property>
      <name>dfs.nameservices</name>
      <value>h2</value>
  </property>
  <property>
      <name>dfs.namenode.secondary.http-address</name>
      <value>master:50090</value>
  </property>
  <property>
      <name>dfs.webhdfs.enabled</name>
      <value>true</value>
  </property>
</configuration>

5.修改mapper-site.xml

<configuration>
<property>
     <name>mapreduce.framework.name</name>
     <value>yarn</value>
     <final>true</final>
  </property>
  <property>
     <name>mapreduce.jobtracker.http.address</name>
     <value>127.0.0.1:50030</value>
  </property>
  <property>
     <name>mapreduce.jobhistory.address</name>
     <value>127.0.0.1:10020</value>
  </property>
  <property>
     <name>mapreduce.jobhistory.webapp.address</name>
     <value>127.0.0.1:19888</value>
  </property>
  <property>
     <name>mapred.job.tracker</name>
     <value>http://127.0.0.1:9001</value>
  </property>
</configuration>

6.yarn-site.xml

<configuration>

<!-- Site specific YARN configuration properties -->
<property>
     <name>yarn.resourcemanager.hostname</name>
     <value>127.0.0.1</value>
  </property>
  <property>
     <name>yarn.nodemanager.aux-services</name>
     <value>mapreduce_shuffle</value>
  </property>
  <property>
     <name>yarn.resourcemanager.address</name>
     <value>127.0.0.1:8032</value>
  </property>
  <property>
     <name>yarn.resourcemanager.scheduler.address</name>
     <value>127.0.0.1:8030</value>
  </property>
  <property>
     <name>yarn.resourcemanager.resource-tracker.address</name>
     <value>127.0.0.1:8031</value>
  </property>
  <property>
     <name>yarn.resourcemanager.admin.address</name>
     <value>127.0.0.1:8033</value>
  </property>
  <property>
     <name>yarn.resourcemanager.webapp.address</name>
     <value>127.0.0.1:8088</value>
  </property>
</configuration>

7.第一次启动之前要执行格式化命令 hdfs namenode -format

8.启动：可以先启动hdfs再启动yarn

9.验证：jps  对应的进程

2871 ResourceManager
3000 Jps
2554 NameNode
2964 NodeManager
2669 DataNode

到此，相信大家对“linux中jdk环境变量的搭建”有了更深的了解，不妨来实际操作一番吧！这里是天达云网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！