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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

Deep Dive into the Hadoop Distributed File System

In the previous chapter, we saw how you can set up a Hadoop cluster in different modes, including standalone mode, pseudo-distributed cluster mode, and full cluster mode. We also covered some aspects on debugging clusters. In this chapter, we will do a deep dive into Hadoop's Distributed File System. The Apache Hadoop release comes with its own HDFS (Hadoop Distributed File System). However, Hadoop also supports other filesystems such as Local FS, WebHDFS, and Amazon S3 file system. The complete list of supported filesystems can be seen here (https://wiki.apache.org/hadoop/HCFS).

In this section, we will primarily focus on HDFS, and we will cover the following aspects of Hadoop's filesystems:

  • How HDFS works
  • Key features of HDFS
  • Data flow patterns of HDFS
  • Configuration for HDFS
  • Filesystem CLIs
  • Working with data structures...
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