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Learning YARN

You're reading from Learning YARN Moving beyond MapReduce - learn resource management and big data processing using YARN

Product type Paperback

Published in Aug 2015

Publisher

ISBN-13 9781784393960

Length 278 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Table of Contents (14) Chapters

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

Chapter 6. Migrating from MRv1 to MRv2

Hadoop development started in 2005 and in December 2011, it reached version 1.0.0. Enterprises started using Hadoop and implemented data processing algorithms based on the MapReduce programming framework. In 2013, Hadoop version 2.2.0 was released and the MapReduce framework went through a lot of architectural changes. A generic framework for resource management, that is, YARN was introduced and architecture for MapReduce job execution over a Hadoop cluster changed. The old API of the framework is known as MRv1 and the MapReduce APIs associated with YARN framework are termed as MRv2.

In this chapter, we will cover the following:

Introduction MRv1 and MRv2
Migrating to MRv2
Running and monitoring MRv1 apps on YARN

The rest of the chapter is locked

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