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

Other security frameworks

Other than the mentioned security mechanisms, a few security frameworks are being developed. These frameworks are being developed to simplify the security configurations for a cluster administrator. This section will cover a basic overview of the Apache Ranger and Knox projects.

Apache Ranger

Apache Ranger is an incubator project that provides a framework for central management of the Hadoop security policies. It provides a central UI and REST APIs to manage security policies for the Hadoop cluster.

This consists of three components:

  • Policy manager

  • Plugins

  • User group sync

The current release (0.4) supports security administration for the following technologies/frameworks—Hadoop HDFS, Hive, HBase, Storm, and Knox. The next release (0.5) is focused to support authorization and auditing for YARN services. It'll provide support for managing and auditing ACLs for YARN queues.

To read more about Apache Ranger, you can refer to the official website at http://ranger.incubator.apache...