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)

Setting up a pseudo Hadoop cluster

In the last section, we managed run Hadoop in a standalone mode. In this section, we will create a pseudo Hadoop cluster on a single node. So, let's try and set up HDFS daemons on a system in the pseudo distributed mode. When we set up HDFS in a pseudo distributed mode, we install name nodes and data nodes on the same machine, but before we start the instances for HDFS, we need to set the configuration files correctly. We will study different configuration files in the next chapter. First, open core-sites.xml with the following command:

hadoop@base0:/$  vim etc/hadoop/core-sites.xml

Now, set the DFS default name for the file system using the property. The core site file is responsible for storing all of the configuration related to Hadoop Core. Replace the content of the file with the following snippet: