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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Toc

Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security Index

Introduction

In this chapter, we will look at best practices and troubleshooting techniques for various components of Hadoop. The same can be used to troubleshoot any other service or application.

With distributed systems and the scale at which Hadoop operates, it can become cumbersome to troubleshoot it. In production, most will use log management and parsing tools such as Splunk and a combination of Ganglia, Nagios, or other tools for monitoring and alerting.

In this chapter, we will build the basics of troubleshooting skills and how we can quickly look for keywords, which will point the users to common errors in the Hadoop cluster. Users are encouraged to read this chapter after reading Chapter 8, Performance Tuning, to better relate and understand the recipes in this chapter.

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