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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/bigtop-utils file

   No Format
   export JAVA_HOME=XXXX

2. Format the namenode

   No Format
   sudo /etc/init.d/hadoop-hdfs-namenode init

3. Start the necessary Hadoop services. E.g. for the pseudo distributed Hadoop installation you can simply do:

   No Format
   for i in hadoop-hdfs-namenode hadoop-hdfs-datanode ; do sudo service $i start ; done

4. Make sure to create a sub-directory structure in HDFS before running any daemons:

   No Format

   sudo -u hdfs hadoop fs -mkdir -p /user/$USER sudo -u hdfs hadoop fs -chown $USER:$USER /user/$USER sudo -u hdfs hadoop fs -chmod 770 /user/$USER sudo -u hdfs hadoop fs -mkdir /tmp sudo -u hdfs hadoop fs -chmod -R 1777 /tmp sudo -u hdfs hadoop fs -mkdir -p /var/log/hadoop-yarn sudo -u hdfs hadoop fs -chown yarn:mapred /var/log/hadoop-yarn sudo -u hdfs hadoop fs -mkdir -p /user/history sudo -u hdfs hadoop fs -chown mapred:mapred /user/history sudo -u hdfs hadoop fs -chmod 770 /user/history sudo -u hdfs hadoop fs -mkdir -p /tmp/hadoop-yarn/staging sudo -u hdfs hadoop fs -chmod -R 1777 /tmp/hadoop-yarn/staging sudo -u hdfs hadoop fs -mkdir -p /tmp/hadoop-yarn/staging/history/done_intermediate sudo -u hdfs hadoop fs -chmod -R 1777 /tmp/hadoop-yarn/staging/history/done_intermediate sudo -u hdfs hadoop fs -chown -R mapred:mapred /tmp/hadoop-yarn/staging

5. Now start YARN daemons:

   No Format
   sudo service hadoop-yarn-resourcemanager start sudo service hadoop-yarn-nodemanager start

6. Enjoy your cluster

   No Format
   hadoop fs -lsr / hadoop jar /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples*.jar pi 10 1000

7. 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.
   
   

   No Format
   ubuntu@ip-10-224-113-68:~$ cat /etc/hostname ip-10-224-113-68

8. If the IP address in /etc/hostname does not match then open the hostname file in a text editor, change and reboot

{html}
<h1>Running Hadoop Components </h1>
<h3>
<a href="https://cwiki.apache.org/confluence/display/BIGTOP/Running+various+Bigtop+components" target="_blank">Linky -> Step-by-step instructions on running Hadoop Components!</a>
</h3>
{html}

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.
Please visit the link above to run some easy examples from the Bigtop distribution !
Provided at the link above are examples to run Hadoop 1.0.1 and nine other components from the Hadoop ecosystem (hive/hbase/zookeeper/pig/sqoop/oozie/mahout/whirr and flume).
See the

{html}<a href="https://github.com/apache/bigtop/blob/master/bigtop.mk" target="_blank">Bigtop Make File</a>{html}

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Where to go from here

It is highly recommended that you read documentation provided by the Hadoop project itself

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