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Apache Hadoop 3 Quick Start Guide

You're reading from  Apache Hadoop 3 Quick Start Guide

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Pages 220 pages
Edition 1st Edition
Languages
Author (1):
Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Profile icon Hrishikesh Vijay Karambelkar

Table of Contents (10) Chapters

Preface Hadoop 3.0 - Background and Introduction Planning and Setting Up Hadoop Clusters Deep Dive into the Hadoop Distributed File System Developing MapReduce Applications Building Rich YARN Applications Monitoring and Administration of a Hadoop Cluster Demystifying Hadoop Ecosystem Components Advanced Topics in Apache Hadoop 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:
  ...
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