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  1. You have the latest JDK installed on your system as well. You can either get it from the official Oracle website (http://www.oracle.com/technetwork/java/javase/downloads/jdk-6u29-download-513648.html) or follow the advice given by your Linux distribution (e.g. some Debian based Linux distributions have JDK packaged as part of their extended set of packages). If your JDK is installed in a non-standard location, make sure to add the line below to the /etc/default/hadoop file
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    export JAVA_HOME=XXXX
    
  2. Format the namenode
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    sudo -u hdfs hadoop namenode -format
    
  3. Start the necessary Hadoop services. E.g. for the pseudo distributed Hadoop installation you can simply do:
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    for i in hadoop-namenode hadoop-datanode hadoop-jobtracker hadoop-tasktracker ; do sudo service $i start ; done
    
  4. Once your basic cluster is up and running it is a good idea to create a home directory on the HDFS:
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    sudo -u hdfs hadoop fs -mkdir /user/$USER
    sudo -u hdfs hadoop fs -chown $USER /user/$USER
    
  5. Enjoy your cluster
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    hadoop fs -lsr /
    hadoop jar /usr/lib/hadoop/hadoop-examples.jar pi 10 1000
    
  6. If you are using Amazon AWS it is important the IP address in /etc/hostname matches the Private IP Address in the AWS Management Console. If the addresses do not match Map Reduce programs will not complete.

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    ubuntu@ip-10-224-113-68:~$ cat /etc/hostname
    ip-10-224-113-68
    
  7. If the IP address in /etc/hostname does not match then open the hostname file in a text editor, change and reboot

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Running Hadoop Components

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<h3> Here are <a href="https://cwiki.apache.org/confluence/display/BIGTOP/Running+various+Bigtop+components" target="_blank">step-by-step instructions on running Hadoop Components!</a> </h3>

One of the advantages of Bigtop is the ease of installation of the different Hadoop Components without having to hunt for a specific Hadoop Component distribution and matching it with a specific Hadoop version.

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