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Apache Hadoop 3 Quick Start Guide

You're reading from   Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Length 220 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (10) Chapters Close

Preface 1. Hadoop 3.0 - Background and Introduction 2. Planning and Setting Up Hadoop Clusters FREE CHAPTER 3. Deep Dive into the Hadoop Distributed File System 4. Developing MapReduce Applications 5. Building Rich YARN Applications 6. Monitoring and Administration of a Hadoop Cluster 7. Demystifying Hadoop Ecosystem Components 8. Advanced Topics in Apache Hadoop 9. Other Books You May Enjoy

Running Hadoop in standalone mode

Now that you have successfully unzipped Hadoop, let's try and run a Hadoop program in standalone mode. As we mentioned in the introduction, Hadoop's standalone mode does not require any runtime; you can directly run your MapReduce program by running your compiled jar. We will look at how you can write MapReduce programs in the Chapter 4, Developing MapReduce Applications. For now, it's time to run a program we have already prepared. To download, compile, and run the sample program, simply take the following steps:

Please note that this is not a mandatory requirement for setting up Apache Hadoop. You do not need a Maven or Git repository setup to compile or run Hadoop. We are doing this to run some simple examples.
  1. You will need Maven and Git on your machine to proceed. Apache Maven can be set up with the following command:
  ...
You have been reading a chapter from
Apache Hadoop 3 Quick Start Guide
Published in: Oct 2018
Publisher: Packt
ISBN-13: 9781788999830
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