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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

Table of Contents (20) Chapters

Learning YARN
Credits
About the Authors
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Starting with YARN Basics Setting up a Hadoop-YARN Cluster Administering a Hadoop-YARN Cluster Executing Applications Using YARN Understanding YARN Life Cycle Management Migrating from MRv1 to MRv2 Writing Your Own YARN Applications Dive Deep into YARN Components Exploring YARN REST Services Scheduling YARN Applications Enabling Security in YARN Real-time Data Analytics Using YARN Index

An introduction to scheduling in YARN


YARN schedulers are the efficient algorithms written to manage cluster resources. YARN's ResourceManager service has a pluggable and pure scheduler component, that is, it does not monitor or track the applications running in the cluster. It is responsible only for allocation of resources to running applications.

You might be wondering, what is resource allocation and why it is important? Well, let's consider a simple scenario. Suppose an organization has a 100 nodes Hadoop-YARN cluster and there are N teams (for example, A, B, ….. N) using the same cluster. Each team has around 10-15 members and each team member can submit YARN applications on the cluster. In order to provide a shared multitenant and efficient cluster utilization, cluster resource allocation plays an important role for a cluster administrator. The cluster resources are divided among the different teams or team members based on a pluggable policy. While defining sharing parameters, the...

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