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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

Handling failures in YARN

A successful execution of a YARN application depends on robust coordination of all the YARN components, including containers, ApplicationMaster, NodeManager, and ResourceManager. Any fault in the coordination of the components or lack of sufficient cluster resource can cause the application to fail. The YARN framework is robust in terms of handling failures at different stages in the application execution path. The fault tolerance and recovery of the application depends on its current stage of execution and the component in which the problem occurs. The following section explains the recovery mechanism applied by YARN at component level.

The container failure

Containers are instantiated for executing the map or reduce tasks. As mentioned in the previous section, these containers in Hadoop-YARN are Java processes running as YarnChild processes. There could be some exception in the execution or abnormal termination of JVM due to lack of sufficient resources. The failure...

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