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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

Writing your own application


YARN framework provides flexibility to run any application in a clustered environment. An application could be as simple as a Java process, a shell script, or a simple date command. The ResourceManager service manages the cluster resource allocation and the NodeManager services execute tasks as specified by the application framework; for example, the map and reduce tasks of Hadoop MapReduce jobs.

In this section, you will write your own applications to run in a distributed environment through YARN.

The complete process can be summarized in four simple steps, which are shown in the following diagram:

Step 1 – Create a new project and add Hadoop-YARN JAR files

We will create a new Java project in Eclipse and will use the YARN client APIs to write a simple YARN application. You can either create a simple Java project or a Maven project.

You need to add the following jar files to your project's build path:

  • hadoop-yarn-client-2.5.1.jar

  • hadoop-yarn-api-2.5.1.jar

  • hadoop...

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