Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
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 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 – summarizing the shape data


Just as we provided a summarization for the overall UFO data set earlier, let's now do a more focused summarization on the data provided for UFO shapes:

  1. Save the following to shapemapper.rb:

    #!/usr/bin/env ruby
    
    while line = gets  
        parts = line.split("\t")    
        if parts.size == 6        
            shape = parts[3].strip     
            puts shape+"\t1" if !shape.empty?   
        end     
    end     
  2. Make the file executable:

    $ chmod +x shapemapper.rb
    
  3. Execute the job once again using the WordCount reducer:

    $ hadoop jar hadoop/contrib/streaming/hadoop-streaming-1.0.3.jarr --file shapemapper.rb -mapper shapemapper.rb -file wcreducer.rb -reducer wcreducer.rb -input ufo.tsv -output shapes
    
  4. Retrieve the shape info:

    $ hadoop fs -cat shapes/part-00000  
    

What just happened?

Our mapper here is pretty simple. It breaks each record into its constituent fields, discards any without exactly six fields, and gives a counter as the output for any non-empty shape value...

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 €18.99/month. Cancel anytime