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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

The Hadoop-YARN multi-node installation

Installing a multi-node Hadoop-YARN cluster is similar to a single node installation. You need to configure the master node, the same as you did during the single node installation. Then, copy the Hadoop installation directory to all the slave nodes and set the Hadoop environment variables for the slave nodes. You can start the Hadoop daemons either directly from the master node, or you can login to each node to run their respective services.

Prerequisites

Before starting with the installation steps, make sure that you prepare all the nodes as specified here:

All the nodes in the cluster have a unique hostname and IP address. Each node should be able to identify all other nodes through the hostname. If you are not using the DHCP server, you need to make sure that the /etc/hosts file contains the resolution for all nodes used in the cluster. The entries will look similar to the following:
```
192.168.56.101    master
192.168.56.102    slave1
192.168.56.103...
```

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