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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 FREE CHAPTER 2. Planning and Setting Up Hadoop Clusters 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

Diagnosing the Hadoop cluster

As you get into deeper configuration and analysis, you will start facing new issues as you progress. This might include exceptions coming from programs, failing nodes, or even random errors. In this section, we will try to cover how they can be identified and addressed. Note that we will look at debugging MapReduce programs in Chapter 4, Developing MapReduce Applications; this section is more focused on debugging issues pertaining to the Hadoop cluster.

Working with log files

Logging into Hadoop uses the rolling file mechanism based on First In, First Out. There are different types of log files intended for developers, administrators, and other users. You can find out the location of these log...

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