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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

Introducing MRv1 and MRv2

The MapReduce framework in Hadoop 1.x version is also known as MRv1. The MRv1 framework includes client communication, job execution and management, resource scheduling and resource management. The Hadoop daemons associated with MRv1 are JobTracker and TaskTracker as shown in the following figure:

Introducing MRv1 and MRv2

JobTracker is a master service responsible for client communications, MapReduce job management, scheduling, resource management, and so on. The TaskTracker service is a worker daemon that runs on every slave of the Hadoop cluster. It is responsible for the execution of map reduce tasks. A client submits a job to the JobTracker service. The JobTracker validates the request and breaks the job into tasks. The JobTracker uses a data localization mechanism and assigns TaskTracker for the execution of tasks. The TaskTracker service runs a map reduce task as a separate JVM named as child as described in the following figure:

Introducing MRv1 and MRv2

The following diagram shows the MRv1 services and...

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