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Apache Hadoop 3 Quick Start Guide

You're reading from   Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Length 220 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (10) Chapters Close

Preface 1. Hadoop 3.0 - Background and Introduction FREE CHAPTER 2. Planning and Setting Up Hadoop Clusters 3. Deep Dive into the Hadoop Distributed File System 4. Developing MapReduce Applications 5. Building Rich YARN Applications 6. Monitoring and Administration of a Hadoop Cluster 7. Demystifying Hadoop Ecosystem Components 8. Advanced Topics in Apache Hadoop 9. Other Books You May Enjoy

Understanding YARN architecture

YARN separates the role of Job Tracker into two separate entities. A Resource Manager is a central authority and is responsible for allocation and management of cluster resources, and an application master to manage the life cycle of applications that are running on the cluster. The following diagram depicts YARN architecture and the flow of requests-response:

YARN provides the basic units of applications such as memory, CPU, and GPU. The units of an application are utilized by containers. All containers are managed by respective Node Managers running on the Hadoop cluster. The Application master (AM) negotiates with the Resource Manager (RM) for container availability along with the resource manager. The AM container is initialized by client through resource manager as shown in step 2. Once AM is initialized, it demands container availability...

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