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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 Hadoop-YARN single node installation

In a single node installation, all the Hadoop-YARN daemons (NameNode, ResourceManager, DataNode, and NodeManager) run on a single node as separate Java processes. You will need only one Linux machine with a minimum of 2 GB RAM and 15 GB free disk space.

Prerequisites

Before starting with the installation steps, make sure that you prepare the node as specified in the above topic.

  • The hostname used in the single node installation is localhost with 127.0.0.1 as the IP address. It is known as the loopback address for a machine. You need to make sure that the /etc/hosts file contains the resolution for the loopback address. The loopback entry will look like this:
    127.0.0.1    localhost
    
  • The passwordless SSH is configured for localhost. To ensure this, execute the following command:
    ssh-copy-id localhost
    

Installation steps

After preparing your node for Hadoop, you need to follow a simple five-step process to install and run Hadoop on your Linux machine.

Installation steps

Step 1...

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