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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


Writing your own Hadoop-YARN applications allows Hadoop users to apply their own business logic (other than MapReduce programming) in a distributed environment. This chapter covered the basics of the YARN APIs and walked you through how to write a simple YARN application. To read more about the topic, you can refer to the Hadoop documentation at http://hadoop.apache.org/docs/r2.5.1/hadoop-yarn/hadoop-yarn-site/WritingYarnApplications.html.

The Hadoop documentation covers a bird's eye view of the APIs used while writing YARN applications. You can also refer to a sample Hortonworks project on GitHub at https://github.com/apache/hadoop-common/tree/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-applications-distributedshell. You can build and execute it on a Hadoop-YARN cluster.

The next chapter covers YARN insights and the core services related to YARN components. It'll help the Java developers and open source contributors to understand the communication between...

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