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Hadoop Beginner's Guide

You're reading from   Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About 2. Getting Hadoop Up and Running FREE CHAPTER 3. Understanding MapReduce 4. Developing MapReduce Programs 5. Advanced MapReduce Techniques 6. When Things Break 7. Keeping Things Running 8. A Relational View on Data with Hive 9. Working with Relational Databases 10. Data Collection with Flume 11. Where to Go Next Pop Quiz Answers Index

Time for action – creating the source Avro data with Ruby


Let's create the sample data using Ruby to demonstrate the cross-language capabilities of Avro.

  1. Add the rubygems package:

    $ sudo apt-get install rubygems
    
  2. Install the Avro gem:

    $ gem install avro
    
  3. Create the following as generate.rb:

    require 'rubygems'
    require 'avro'
    
    file = File.open('sightings.avro', 'wb')
    schema = Avro::Schema.parse(
    File.open("ufo.avsc", "rb").read)
    
    writer = Avro::IO::DatumWriter.new(schema)
    dw = Avro::DataFile::Writer.new(file, writer, schema)
    dw<< {"sighting_date" => "2012-01-12", "city" => "Boston", "shape" => "diamond", "duration" => 3.5}
    dw<< {"sighting_date" => "2011-06-13", "city" => "London", "shape" => "light", "duration" => 13}
    dw<< {"sighting_date" => "1999-12-31", "city" => "New York", "shape" => "light", "duration" => 0.25}
    dw<< {"sighting_date" => "2001-08-23", "city" => "Las Vegas", "shape" => "cylinder", "duration" => 1.2}
    dw...
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