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--- courses:mapreduce-tutorial:step-1 [2012/01/29 15:39]
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+++ courses:mapreduce-tutorial:step-1 [2012/01/30 15:25] (current)
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@@ Line 1: / Line 1: @@
 ====== 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
@@ Line 24: / Line 24: @@
   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
+===== 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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