The tutorial expects you to be logged to a computer in the UFAL cluster and be able to submit jobs using SGE. In this environment, Hadoop is installed in /SGE/HADOOP/active.

To use the Perl MapReduce API, you need

• Perl package Moose.
• Perl package Hadoop.

The standard Moose package is available in the UFAL environment, just add

. /net/work/projects/perl_repo/admin/bin/setup_platform

to .profile or .bashrc or type it in the shell

echo -e "\n#MR Tutorial - Moose" >> ~/.bashrc
echo ". /net/work/projects/perl_repo/admin/bin/setup_platform" >> ~/.bashrc

The custom Hadoop package is available in /net/projects/hadoop/perl, just add

export PERLLIB="$PERLLIB:/net/projects/hadoop/perl/"
export PERL5LIB="$PERL5LIB:/net/projects/hadoop/perl"

to .profile, .bash_profile, .bashrc or type it in the shell.

echo -e "\n#MR Tutorial - Hadoop" >> ~/.bashrc
echo 'export PERLLIB="$PERLLIB:/net/projects/hadoop/perl/"' >> ~/.bashrc
echo 'export PERL5LIB="$PERL5LIB:/net/projects/hadoop/perl"' >> ~/.bashrc

If you are not logged in the UFAL cluster, you will need:

• local Hadoop installation
  1. download http://www.apache.org/dist/hadoop/common/hadoop-1.0.0/hadoop-1.0.0.tar.gz
  2. unpack it
  3. edit conf/hadoop-env.sh file and make sure there is valid line

     export JAVA_HOME=/path/to/your/jdk

• the repository hadoop containing the Perl API and Java extensions.
• when using Perl API, set hadoop_prefix to point to your Hadoop installation
• when using Java API, one of the Makefiles contain absolute path to the hadoop repository – please correct it

When using local Hadoop installation, you must run all jobs either locally in a single thread or start a local cluster and use -jt for the jobs to use it (see using-a-running-cluster).