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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

Summary

YARN is used as a generic resource manager for distributed applications. YARN allows easy resource scheduling and application execution over a cluster of nodes. YARN is being integrated with different big data technologies such as Apache Storm, Spark, and so on. In this chapter, you learned about the Spark-YARN architecture and how you can submit Spark jobs on YARN. You also learned about the integration of Storm on YARN and how you can manage the storm services through YARN. This chapter also covered a brief overview of the integration of HAMA and Giraph with YARN.

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