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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

Product type Paperback

Published in Oct 2018

Publisher Packt

ISBN-13 9781788999830

Length 220 pages

Edition 1st Edition

Languages

Java

Tools

Hadoop

Concepts

Big Data

Author (1):

Hrishikesh Vijay Karambelkar

View More author details

Table of Contents (10) Chapters

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

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HDFS configuration files

Unlike lots of software, Apache Hadoop provides few configuration files that give you flexibility when configuring your Hadoop cluster. Among them are two primary files that influence the overall functioning of HDFS:

core-site.xml: This file is primarily used to configure Hadoop IOs; primarily, all of the common settings of HDFS and MapReduce would go here.
hdfs-site.xml: This file is the main file for all HDFS configuration. Anything pertaining to NameNode, SecondaryNameNode, or DataNode can be found here.

The core-site file has more than 315 parameters that can be set. We will look at different configurations in the administration section. The full list can be seen here (https://hadoop.apache.org/docs/r3.1.0/hadoop-project-dist/hadoop-common/core-default.xml). We will cover some important parameters that you may need for configuration:

Property...

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Authors (1)

Vijay Karambelkar

Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.

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