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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

Running and monitoring MRv1 apps on YARN

The syntax to submit applications is similar to the MRv1 framework. A minor difference in MRv2 is the use of the yarn command in the Hadoop-YARN bin folder rather than hadoop. Although submission of applications is supported using the hadoop command in MRv2, the yarn command is still preferred.

YARN uses the ResourceManager web interface for monitoring applications running on a YARN cluster. The ResourceManager UI shows the basic cluster metrics, list of applications, and nodes associated with the cluster. In this section, we'll discuss the monitoring of MRv1 applications over YARN.

You can execute a sample MapReduce job like word count and browse to the web UI for ResourceManager at http://<ResourceManagerHost>:8088/.

A new application is submitted to the YARN cluster and you can view the application summary in the application table. You can open the application details page by clicking on the link for the corresponding row in the table.

The application...

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