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 3. Administering a Hadoop-YARN Cluster

In the previous chapter, we covered the installation steps to configure single and multi-node Hadoop-YARN clusters. As an administrator or a user of a Hadoop-YARN cluster, it is important to know how services are configured or managed. For example, an administrator must monitor the health of all the nodes across the cluster and a user should be able to view the logs of the applications submitted.

Hadoop-YARN has a predefined set of user, as well as administrative commands. It exposes monitoring data as service metrics and provides an easy integration of monitoring data with tools such as Ganglia, Nagios, and so on. It also defines a mechanism for High Availability and recovery.

In this chapter, we will cover:

  • The YARN user and administration commands

  • Configuring, managing, and monitoring YARN services

  • ResourceManager's High Availability

  • Monitoring NodeManager's health