• 6、Hadoop 2.6.0 运行


    运行方式

    1. Local (Standalone) Mode
    2. Pseudo-Distributed Mode
    3. Fully-Distributed Mode

    Standalone Operation

      $ sudo mkdir input
      $ sudo cp etc/hadoop/*.xml input
      $ sudo bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar grep input output 'dfs[a-z.]+'
      $ cat output/*
    

    Pseudo-Distributed Operation

    Configuration
    Use the following:

    etc/hadoop/core-site.xml:

    <configuration>
        <property>
            <name>fs.defaultFS</name>
            <value>hdfs://hw-TM1612:8020</value>
        </property>
    </configuration>
    	
    <configuration>
        <property>
            <name>hadoop.tmp.dir</name>
            <value>/opt/hadoop-2.6.0-cdh5.5.0/data/tmp</value>
        </property>
    </configuration>
    

    etc/hadoop/hdfs-site.xml:

    <configuration>
        <property>
            <name>dfs.replication</name>
            <value>1</value>
        </property>
    </configuration>
    
    sudo bin/hdfs namenode -format  ##格式化namenode
    sudo sbin/hadoop-daemon.sh start namenode   ##启动namenode
    sudo sbin/hadoop-daemon.sh start datanode   ##启动datanode
    jps
    sudo bin/hdfs dfs -mkdir -p /user/hw/   ##创建目录
    sudo bin/hdfs dfs -ls -R /  ##循环列出目录 -R
    
    sudo bin/hdfs dfs -mkdir -p /user/hw/mapreduce/wordcount/input  ##创建hdfs文件
    sudo bin/hdfs dfs -put wcinput/wc.input /user/hw/mapreduce/wordcount/input    ## 上传文件
    sudo bin/hdfs dfs -ls /user/hw/mapreduce/wordcount/input
    sudo bin/hdfs dfs -cat /user/hw/mapreduce/wordcount/input/wc.input  ##查看
    sudo bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0-cdh5.5.0.jar wordcount /user/hw/mapreduce/wordcount/input/ /user/hw/mapreduce/wordcount/output ##hdfs下运行
    sudo bin/hdfs dfs -cat /user/hw/mapreduce/wordcount/output/part-r-00000
    
    • 默认web端口号:50070

    YARN on Single Node

    etc/hadoop/mapred-site.xml:

    <configuration>
        <property>
            <name>mapreduce.framework.name</name>
            <value>yarn</value>
        </property>
    </configuration>
    

    etc/hadoop/yarn-site.xml:

    <configuration>
        <property>
            <name>yarn.nodemanager.aux-services</name>
            <value>mapreduce_shuffle</value>
        </property>
    </configuration>
    
    sudo gedit etc/hadoop/yarn-env.sh 
    sudo gedit etc/hadoop/yarn-site.xml 
    sudo gedit etc/hadoop/slaves    ##更改主机名
    sudo sbin/yarn-daemon.sh start resourcemanager  ##启动resourcemanager
    jps
    sudo sbin/yarn-daemon.sh start nodemanager  ##启动nodemanager
    jps
    sudo gedit etc/hadoop/mapred-env.sh 
    sudo mv etc/hadoop/mapred-site.xml.template etc/hadoop/mapred-site.xml
    sudo gedit etc/hadoop/mapred-site.xml 
    sudo bin/hdfs dfs -rm -r /user/hw/mapreduce/wordcount/output
    sudo bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0-cdh5.5.0.jar wordcount /user/hw/mapreduce/wordcount/input/ /user/hw/mapreduce/wordcount/output
    
    • 默认web端口号:8088

    启动历史服务器

    sudo sbin/mr-jobhistory-daemon.sh start historyserver
    
    
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  • 原文地址:https://www.cnblogs.com/Grand-Jon/p/10143333.html
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