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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

High-level changes from MRv1 to MRv2


With the introduction of YARN, the architecture for Hadoop job execution and management framework changed. In this section, we'll discuss the list of high-level changes observed in MRv2 framework.

The evolution of the MRApplicationMaster service

In YARN, the responsibility of JobTracker is divided across the ResourceManager service and application-specific ApplicationMaster service. For management of MapReduce jobs, MRApplicationMaster service is defined in the Hadoop framework. For each MapReduce job submitted to ResourceManager, an instance MRApplicationMaster service is launched. After successful execution of the job, the MRApplicationMaster service is terminated.

The MRApplicationMaster service is responsible for:

  • Registering the job with the ResourceManager

  • Negotiating YARN containers for execution of map reduce tasks

  • Interacting with NodeManager to manage execution of allocated containers

  • Handling task failure and reinitiate failed tasks

  • Handling client...

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