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courses:mapreduce-tutorial:step-1 [2012/01/29 15:39]
straka
courses:mapreduce-tutorial:step-1 [2012/01/30 15:25] (current)
straka
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 ====== MapReduce Tutorial : Setting the environment ====== ====== MapReduce Tutorial : Setting the environment ======
  
-===== Hadoop instalation =====+===== Requirements =====
  
-===== The Perl API =====+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 To use the Perl MapReduce API, you need
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   export PERL5LIB="$PERL5LIB:/net/projects/hadoop/perl"   export PERL5LIB="$PERL5LIB:/net/projects/hadoop/perl"
 to ''.profile'', ''.bash_profile'', ''.bashrc'' or type it in the shell. to ''.profile'', ''.bash_profile'', ''.bashrc'' or type it in the shell.
- 
  
   echo -e "\n#MR Tutorial - Hadoop" >> ~/.bashrc   echo -e "\n#MR Tutorial - Hadoop" >> ~/.bashrc
   echo 'export PERLLIB="$PERLLIB:/net/projects/hadoop/perl/"' >> ~/.bashrc   echo 'export PERLLIB="$PERLLIB:/net/projects/hadoop/perl/"' >> ~/.bashrc
   echo 'export PERL5LIB="$PERL5LIB:/net/projects/hadoop/perl"' >> ~/.bashrc   echo 'export PERL5LIB="$PERL5LIB:/net/projects/hadoop/perl"' >> ~/.bashrc
 +
 +===== When not logged in UFAL cluster =====
 +
 +**If you are not logged in the UFAL cluster, you will need:**
 +  * local Hadoop installation
 +    - download ''http://www.apache.org/dist/hadoop/common/hadoop-1.0.0/hadoop-1.0.0.tar.gz''
 +    - unpack it
 +    - edit ''conf/hadoop-env.sh'' file and make sure there is valid line <code>export JAVA_HOME=/path/to/your/jdk</code>
 +  * 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 ''Makefile''s 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 [[.:step-7#using-a-running-cluster]]).
  
 ---- ----

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