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Data Manipulation using Distributed Apache Hadoop's Map-Reduce Architecture

Synopsis

Hadoop based project that can consolidate and manipulate music contextual data.

Prerequisites

Before we start

Register yourself as one of the hadoop group user and proceed with the following commands from your terminal, Make sure hadoop is running before you proceed with the commands

Task0 - Merging the given files:

hadoop jar Table0.jar org.Table0 /input0 /output0
WARNING : input directory which has all three files(name sensitive) and output directory for Task0

Output format : <artist_name><artist_id>.....<artist_id>............

Task1 - Consolidation of locations, artists and songs:

hadoop jar Table1.jar org.Table1 /output0 /output1
WARNING : output directory from Task0 and output directory for Task1

Output format : <artist_name1><artist_name2>................

Task2 - Analysis on the dataset :

hadoop jar Table2.jar org.Table2 /output1 /output0 /output2 Task1O/P Task0 O/P Task2O/P

Output format : <artist_id>.....<artist_id>............

Execute the above commands in a sequence and you get the output in the specified formats.

Assumptions Considered :

  • There can be multiple locations, artistids and songtitles available, so included them all while I was merging in Task0
  • Task2 has three command line arguments, i.e. args[0] will be Task1's output, args[1] will be Task0's output and args[2] will be the result Task2's output.
  • Location & Artist Names are captured by Regular expression.
Note : If you want to change the input files (Short files of your own ? ) then you may have to change the code or overwrite the files already there under input0/

References:

  1. http://stackoverflow.com/questions/2072222/regular-expression-for-positive-and-a-negative-decimal-value-in-java
  2. http://regexr.com/
  3. Boiler-plate code from https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html
Copyright © 2015 Vaikunth Sridharan