Book Image

Learning YARN

By : Akhil Arora, Shrey Mehrotra, Shreyank Gupta
Book Image

Learning YARN

By: Akhil Arora, Shrey Mehrotra, Shreyank Gupta

Overview of this book

Today enterprises generate huge volumes of data. In order to provide effective services and to make smarter and more intelligent decisions from these huge volumes of data, enterprises use big-data analytics. In recent years, Hadoop has been used for massive data storage and efficient distributed processing of data. The Yet Another Resource Negotiator (YARN) framework solves the design problems related to resource management faced by the Hadoop 1.x framework by providing a more scalable, efficient, flexible, and highly available resource management framework for distributed data processing. This book starts with an overview of the YARN features and explains how YARN provides a business solution for growing big data needs. You will learn to provision and manage single, as well as multi-node, Hadoop-YARN clusters in the easiest way. You will walk through the YARN administration, life cycle management, application execution, REST APIs, schedulers, security framework and so on. You will gain insights about the YARN components and features such as ResourceManager, NodeManager, ApplicationMaster, Container, Timeline Server, High Availability, Resource Localisation and so on. The book explains Hadoop-YARN commands and the configurations of components and explores topics such as High Availability, Resource Localization and Log aggregation. You will then be ready to develop your own ApplicationMaster and execute it over a Hadoop-YARN cluster. Towards the end of the book, you will learn about the security architecture and integration of YARN with big data technologies like Spark and Storm. This book promises conceptual as well as practical knowledge of resource management using YARN.
Table of Contents (20 chapters)
Learning YARN
About the Authors
About the Reviewers

Chapter 2. Setting up a Hadoop-YARN Cluster

YARN is a subproject of Apache Hadoop at the Apache Software Foundation, introduced in the Hadoop 2.0 version. YARN replaces the old MapReduce framework of the Hadoop 1.x version and is shipped with the Hadoop 2.x bundle. This chapter will provide a step-by-step guide for Hadoop-YARN users to install and configure YARN with Hadoop.

A Hadoop-YARN cluster can be configured as a single node as well as a multi-node cluster. This chapter covers both types of installations along with the troubleshooting guidelines. This chapter helps YARN beginners and the cluster administrators easily configure Hadoop-YARN clusters and understand how YARN components interact with each other.

Apache, Hortonworks, and Cloudera are the main distributors of Hadoop. These vendors have their own steps to install and configure Hadoop-YARN clusters. This chapter uses the Apache tar.gz bundles for setting up Hadoop-YARN clusters and gives an overview of Hortonworks and Cloudera...