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Learning YARN

You're reading from   Learning YARN Moving beyond MapReduce - learn resource management and big data processing using YARN

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Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781784393960
Length 278 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (14) Chapters Close

Preface 1. Starting with YARN Basics FREE CHAPTER 2. Setting up a Hadoop-YARN Cluster 3. Administering a Hadoop-YARN Cluster 4. Executing Applications Using YARN 5. Understanding YARN Life Cycle Management 6. Migrating from MRv1 to MRv2 7. Writing Your Own YARN Applications 8. Dive Deep into YARN Components 9. Exploring YARN REST Services 10. Scheduling YARN Applications 11. Enabling Security in YARN 12. Real-time Data Analytics Using YARN Index

Chapter 7. Writing Your Own YARN Applications

In the first chapter, we talked about the shortcomings of Hadoop 1.x framework. Hadoop 1.x framework was restricted to MapReduce programming only. You had to write data processing logic as map and reduce tasks. With the introduction of YARN in Hadoop 2.x version, you can now execute different data processing algorithms over the data stored in HDFS. YARN separates the resource management and the data processing frameworks into two different components, ResourceManager and ApplicationMaster.

In the last few chapters, you learned about the application execution flow, and how YARN components communicate and manage the life cycle of an application. You executed a MapReduce application over a YARN cluster and worked with MRApplicationMaster component. In this chapter, you will learn to create your own YARN applications using YARN Java APIs. This chapter requires you to have a Java background and basic knowledge of Eclipse IDE. This chapter...

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