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
Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

Arrow left icon
Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
Arrow right icon
Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Storage 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

Hadoop streaming


We have mentioned previously that MapReduce programs don't have to be written in Java. There are several reasons why you might want or need to write your map and reduce tasks in another language. Perhaps you have existing code to leverage or need to use third-party binaries—the reasons are varied and valid.

Hadoop provides a number of mechanisms to aid non-Java development, primary amongst which are Hadoop pipes that provide a native C++ interface and Hadoop streaming that allows any program that uses standard input and output to be used for map and reduce tasks. With the MapReduce Java API, both map and reduce tasks provide implementations for methods that contain the task functionality. These methods receive the input to the task as method arguments and then output results via the Context object. This is a clear and type-safe interface, but it is by definition Java-specific.

Hadoop streaming takes a different approach. With streaming, you write a map task that reads its...

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