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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

Configuring the YARN environment in a cluster

We have seen the configuration of MapReduce and HDFS. To enable YARN, first you need to inform Hadoop that you are using YARN as your framework, so you need to add the following entries in mapred-site.xml:

<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>

Please refer to Chapter 2, Planning and Setting Up Hadoop Clusters, for additional properties and steps for configuring YARN. Now, let's look at key configuration elements in yarn-site.xml that you would be looking at day by day:

Property Name

Default Value

Description

yarn.resourcemanager
.hostname

0.0.0.0

Specify the hostname of resource manager.

yarn.resourcemanager
.address

IP...

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