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--- courses:mapreduce-tutorial:step-3 [2012/01/24 19:19]
straka
+++ courses:mapreduce-tutorial:step-3 [2012/01/31 09:40] (current)
straka Change Perl commandline syntax.
@@ Line 1: / Line 1: @@
 ====== MapReduce Tutorial : Basic mapper ======
-The simplest MR job consists of a mapper only.  The input data is divided in several parts, every processed by an independent mapper, and the results are collected in one directory, one file per mapper.
+The simplest Hadoop job consists of a mapper only.  The input data is divided in several parts, every processed by an independent mapper, and the results are collected in one directory, one file per mapper.
-===== Example Perl mapper =====
+The Hadoop framework silently handles failures. If a mapper task fails, another is executed and the input of the failed attempt is discarded.
-<code perl>
+===== Example Perl mapper =====
-#!/usr/bin/perl
-package Mapper;
+<file perl>
+package My::Mapper;
 use Moose;
 with 'Hadoop::Mapper';
@@ Line 18: / Line 18: @@
 }
-package Main;
+package main;
 use Hadoop::Runner;
 my $runner = Hadoop::Runner->new(
-  mapper => Mapper->new(),
+  mapper => My::Mapper->new(),
   input_format => 'TextInputFormat',
   output_format => 'TextOutputFormat',
   output_compression => 0);
-$runner->run();
+$runner->run();  # Parse arguments in @ARGV and run the Hadoop job.
-</code>
+</file>
 The values ''input_format'', ''output_format'' and ''output_compression'' could be left out, because they are all set to their default value.
-Resulting script can be executed locally (not distributed) using
+Resulting script can be executed locally in a single thread using
-  perl script.pl run input_directory output_directory
+  perl script.pl input output_directory
-All files in input_directory are processes. The output_directory must not exist.
+Input can be either file or a directory -- in that case, all files in this directory are processes. The output_directory must not exist.
+=== Standard input and output ===
+Standard input and standard output of the Perl script are used to communicate with the Hadoop framework. Therefore you should use standard error output if you want to print some debugging output using ''print STDERR "Message"''.
 ===== Exercise =====
-Try running a MR job on ''/home/straka/wiki/cs-text'', which outputs only
+To check that your Hadoop environment works, try running a MR job on ''/home/straka/wiki/cs-text-medium'', which outputs only articles with names beginning with an ''A'' (ignoring the case). You can download the template {{:courses:mapreduce-tutorial:step-3-exercise.txt|step-3-exercise.pl}}  and execute it.
-articles with names beginning with a (ignoring the case).
+  wget --no-check-certificate 'https://wiki.ufal.ms.mff.cuni.cz/_media/courses:mapreduce-tutorial:step-3-exercise.txt' -O 'step-3-exercise.pl'
+  # NOW EDIT THE FILE
+  # $EDITOR step-3-exercise.pl
+  rm -rf step-3-out-ex; perl step-3-exercise.pl /home/straka/wiki/cs-text-medium/ step-3-out-ex
+  less step-3-out-ex/part-*
+==== Solution ====
+You can also download the solution {{:courses:mapreduce-tutorial:step-3-solution.txt|step-3-solution.pl}} and check the correct output.
+  wget --no-check-certificate 'https://wiki.ufal.ms.mff.cuni.cz/_media/courses:mapreduce-tutorial:step-3-solution.txt' -O 'step-3-solution.pl'
+  # NOW VIEW THE FILE
+  # $EDITOR step-3-solution.pl
+  rm -rf step-3-out-sol; perl step-3-solution.pl /home/straka/wiki/cs-text-medium/ step-3-out-sol
+  less step-3-out-sol/part-*
+----
+<html>
+<table style="width:100%">
+<tr>
+<td style="text-align:left; width: 33%; "></html>[[step-2|Step 2]]: Input and output format, testing data.<html></td>
+<td style="text-align:center; width: 33%; "></html>[[.|Overview]]<html></td>
+<td style="text-align:right; width: 33%; "></html>[[step-4|Step 4]]: Counters.<html></td>
+</tr>
+</table>
+</html>

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