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Programming MapReduce with Scalding

You're reading from   Programming MapReduce with Scalding A practical guide to designing, testing, and implementing complex MapReduce applications in Scala

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783287017
Length 148 pages
Edition 1st Edition
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Author (1):
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Antonios Chalkiopoulos Antonios Chalkiopoulos
Author Profile Icon Antonios Chalkiopoulos
Antonios Chalkiopoulos
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Table of Contents (11) Chapters Close

Preface 1. Introduction to MapReduce 2. Get Ready for Scalding FREE CHAPTER 3. Scalding by Example 4. Intermediate Examples 5. Scalding Design Patterns 6. Testing and TDD 7. Running Scalding in Production 8. Using External Data Stores 9. Matrix Calculations and Machine Learning Index

Chapter 5. Scalding Design Patterns

MapReduce applications, like all software artifacts, need to be written to be reusable, modular, and testable. They must have specific requirements related to the fact that they run in a Hadoop environment. The goal of this chapter is to present some design patterns to be applied in the implementation of Scalding applications. While the principles they follow are common to software development, we will present how to implement them in the specific domain.

The principles they follow are simplicity, single responsibility, and dependency inversion. In the context of Scalding, we will call them:

  • The external operations pattern
  • The dependency injection pattern
  • The late bound dependency pattern
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