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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 schedulers


The scheduler is responsible for providing resources to different tasks of running applications. It is only responsible for scheduling of tasks and is not concerned with status tracking and monitoring of tasks. The scheduler ensures meeting resource requirements in terms of memory, cores, disk, and network for the application. At granular level, it meets the resource requirement of containers running for the particular application. The default scheduler of Hadoop uses a single queue (root queue) to accept and schedule applications. It means that all the applications are submitted to the root queue.

You can view the details of the configured scheduler through ResourceManager web UI at http://<ResourceManager IP>:8088/cluster/scheduler. This is shown in the following screenshot:

YARN provides interfaces for implementation of pluggable scheduler. The two popular schedulers available with Hadoop are:

  • Fair scheduler

  • Capacity scheduler

Fair scheduler

Fair scheduler...

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