Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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.

Arrow left icon
Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
Arrow right icon
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 FREE CHAPTER 2. Getting Hadoop Up and Running 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 – implementing WordCount using Streaming


Let's flog the dead horse of WordCount one more time and implement it using Streaming by performing the following steps:

  1. Save the following file to wcmapper.rb:

    #/bin/env ruby
    
    while line = gets
        words = line.split("\t")
        words.each{ |word| puts word.strip+"\t1"}}
    end
  2. Make the file executable by executing the following command:

    $ chmod +x wcmapper.rb
    
  3. Save the following file to wcreducer.rb:

    #!/usr/bin/env ruby
    
    current = nil
    count = 0
    
    while line = gets
        word, counter = line.split("\t")
    
        if word == current
            count = count+1
        else
            puts current+"\t"+count.to_s if current
            current = word
            count = 1
        end
    end
    puts current+"\t"+count.to_s
  4. Make the file executable by executing the following command:

    $ chmod +x wcreducer.rb
    
  5. Execute the scripts as a Streaming job using the datafile from the previous chapter:

    $ hadoop jar hadoop/contrib/streaming/hadoop-streaming-1.0.3.jar 
    -file wcmapper.rb -mapper...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image