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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Storm on YARN

In Chapter 6, YARN – Bringing Other Paradigms to Hadoop, we built a YARN application that executes distributed shell commands. Storm is one such application that has been brought to YARN by Yahoo!. Any Hadoop cluster running YARN can now execute streaming workloads for low-latency real-time applications. The Application Master and client program to execute Storm are available for deployment. It is open sourced on GitHub at https://github.com/yahoo/storm-yarn.

Installing Apache Storm-on-YARN

Apache Storm-on-YARN can currently be installed from GitHub. This section assumes that the Hadoop 2.2.0 cluster is available.

Prerequisites

The following prerequisites are necessary to install Storm-on-YARN:

  • Java 7
  • Maven: This needs to be installed on the gateway machine to help compile and deploy the Storm-on-YARN Application Master and client:
    • wget http://mirror.symnds.com/software/Apache/maven/maven-3/3.1.1/binaries/apache-maven-3.1.1-bin.tar.gz
    • tar –zxvf apache-maven-3.1.1-bin...
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