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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

The ResourceManager's view

Being the master service, the ResourceManager service manages the following:

  • Cluster resources (nodes in the cluster)
  • Applications submitted to the cluster
  • Attempt of running applications
  • Containers running on cluster nodes

The ResourceManager service has its own view for different processes associated with YARN management and application execution of YARN. The following is the view of ResourceManager:

  • Node: This is the machine with the NodeManager daemon
  • Application: This is the code submitted by any client to the ResourceManager
  • Application attempt: This attempt is associated with the execution of any application
  • Container: This is the process running the business logic of the submitted application

View 1 – Node

The node view of ResourceManager manages the life cycle for NodeManager nodes within a cluster. For every node in the cluster, the ResourceManager maintains an RMNode object. The states and event types of a node are defined in enumerations NodeState...

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