Book Image

Apache Hadoop 3 Quick Start Guide

By : Hrishikesh Vijay Karambelkar
Book Image

Apache Hadoop 3 Quick Start Guide

By: Hrishikesh Vijay Karambelkar

Overview of this book

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster.
Table of Contents (10 chapters)

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 ( We will cover some important parameters that you may need for configuration: