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Learning YARN

You're reading from  Learning YARN

Product type Book
Published in Aug 2015
Publisher
ISBN-13 9781784393960
Pages 278 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (20) Chapters

Learning YARN
Credits
About the Authors
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Starting with YARN Basics 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

Understanding application execution flow

A YARN application can be a simple shell script, MapReduce job, or any group of jobs. This section will cover YARN application submission and execution flow. To manage application execution over YARN, a client needs to define an ApplicationMaster. The client submits an application context to the ResourceManager. As per the application needs, the ResourceManager then allocates memory for an ApplicationMaster and containers for application execution.

The complete process of application execution can be broadly divided into six phases, as shown in the following figure:

Phase 1 – Application initialization and submission

In the first phase of application execution, a client will connect to the applications manager service of the ResourceManager daemon and will request the ResourceManager for a new application ID. The ResourceManager will validate the client request and if the client is an authorized user, it will send a new and unique application ID, along...

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