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Vijay Parthasarathy - Learning Cassandra for Administrators

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Vijay Parthasarathy Learning Cassandra for Administrators

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Optimize high-scale data by tuning and troubleshooting using Cassandra

Overview

  • Install and set up a multi datacenter Cassandra
  • Troubleshoot and tune Cassandra
  • Covers CAP tradeoffs, physical/hardware limitations, and helps you understand the magic
  • Tune your kernel, JVM, to maximize the performance
  • Includes security, monitoring metrics, Hadoop configuration, and query tracing

In Detail

Apache Cassandra is a massively scalable open source NoSQL database. Cassandra is perfect for managing large amounts of structured, semi-structured, and unstructured data across multiple data centers and the cloud. Cassandra delivers linear scalability and performance across many commodity servers with no single point of failure.

This book starts by explaining how to derive the solution, basic concepts, and CAP theorem. You will learn how to install and configure a Cassandra cluster as well as tune the cluster for performance. After reading the book, you should be able to understand why the system works in a particular way, and you will also be able to find patterns (and/or use cases) and anti-patterns which would potentially cause performance degradation. Furthermore, the book explains how to configure Hadoop, vnodes, multi-DC clusters, enabling trace, enabling various security features, and querying data from Cassandra.

Starting with explaining about the trade-offs, we gradually learn about setting up and configuring high performance clusters. This book will help the administrators understand the system better by understanding various components in Cassandras architecture and hence be more productive in operating the cluster. This book talks about the use cases and problems, anti-patterns, and potential practical solutions as opposed to raw techniques. You will learn about kernel and JVM tuning parameters that can be adjusted to get the maximum use out of system resources.

What you will learn from this book

  • Explore trade-offs and basic concepts
  • Install Cassandra, choose hardware, and configure the cluster
  • Query and insert data and CQL
  • Get to grips with performance tuning
  • Find out about Hadoop integration and evolving apps
  • Discover anti-patterns and how to secure your cluster

Approach

This book is a practical, hands-on guide, taking the reader from the basics of using Cassandra though to the installation and the running.

Who this book is written for

Learning Cassandra for Administrators is for administrators who manage a large deployment of Cassandra clusters, and support engineers who would like to install the monitoring tools and who are also in charge of making sure the cluster stays the same, ensuring that the service is always up and running.

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Learning Cassandra for Administrators

Learning Cassandra for Administrators

Copyright 2013 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: November 2013

Production Reference: 1181113

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78216-817-1

www.packtpub.com

Cover Image by Faiz Fattohi (<>)

Credits

Author

Vijay Parthasarathy

Reviewers

Robert E. McFrazier

Brian O'Neill

Ricardo J. S. Teixeira

Acquisition Editors

James Jones

Grant Mizen

Commissioning Editor

Manasi Pandire

Technical Editors

Gaurav Thingalaya

Dennis John

Project Coordinator

Suraj Bist

Proofreader

Paul Hindle

Copy Editors

Alisha Aranha

Dipti Kapadia

Sayanee Mukherjee

Aditya Nair

Kirti Pai

Shambhavi Pai

Lavina Pereira

Indexers

Rekha Nair

Tejal R. Soni

Graphics

Ronak Dhruv

Abhinash Sahu

Production Coordinator

Manu Joseph

Cover Work

Manu Joseph

About the Author

Vijay Parthasarathy is an Apache Cassandra Committer who has helped multiple companies use Cassandra successfully; most notably, he was instrumental in Netflix's move into Cassandra. Vijay has multiple years of experience in software engineering and managing large project teams. He has also successfully architected, designed, and developed multiple large-scale distributed computing systems, distributed databases, and highly concurrent systems.

I want to thank my wife, Narmadhadevi, and the rest of my family, who supported and encouraged me in spite of all the time it took me away from them.

About the Reviewers

Robert E. McFrazier is an open source developer, manager, trainer, and architect. Having started with web development, he was able to progress in his career in multiple roles including developer, trainer, build/release engineer, architect, and manager. He has been working primarily in PHP web development, but he also has experience in Java development, AWS cloud, message queues, Hadoop, Cassandra, and creating high-volume SOAP/REST API services.

Robert has worked for many software companies including Nordstrom.com, InfoSpace, Clear, RealNetworks, and Arise Virtual Solutions.

I'd like to thank my wife, Toni, and my son, Robbie, for being the inspiration to continue learning and growing.

Brian O'Neill likes to describe himself as a father, husband, hacker, hiker, kayaker, fisherman, Big Data believer, innovator, and a distributed computing dreamer.

Brian has been a technology leader for over 15 years. He has experience as an architect in a wide variety of settings, from startups to Fortune 500 companies. He believes in open source and contributes to numerous projects. He leads projects that extend Cassandra and integrate the database with full-text indexing engines, distributed processing frameworks, and analytics engines. He won the InfoWorld's Technology Leadership award in 2013. He has authored the Dzone reference card on Cassandra and was nominated as a DataStax Cassandra MVP in 2012.

In the past, Brian has contributed to expert groups within the Java Community Process (JCP), and he has patents in artificial intelligence and context-based discovery. Brian is proud to hold a B.S. in C.S. from Brown University.

Presently, Brian is the Chief Architect at Health Market Science (HMS), where he heads the development of their Big Data platform focused on data management and analysis for the Healthcare space. The platform is powered by Storm and Cassandra and delivers real-time data management and analytics as a service.

Brian is currently co-authoring a book scheduled to be published in December 2013, Storm Blueprints for Distributed Computing , Packt Publishing .

To my wife Lisa, it is in your sail's angelic wake that I find balance

You lift me up and keep me from capsizing. I love you

And to the silverback, for keeping my feet firmly on the ground

While the greyback let me dream among the clouds

To my sons, you are my inspiration, the wind at my back

The stars wait for you.

Without all of you, this ink would never have met this page.

Ricardo J. S. Teixeira is a Portuguese computer engineer.

He currently lives with his family in Vila do Conde, a quiet city by the Atlantic ocean. He is interested in how Big Data technologies can be used to solve common business problems.

Ricardo reviewed this book while he was writing a thesis for his Master's degree on leveraging Big Data technologies (such as Storm and Cassandra) to acquire near real-time metrics for a large retail store chain.

I would like to thank my parents, my brother, Milai, and urea for all the times they waited patiently while I was hunched over my laptop.

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Preface

The Apache Cassandra database is the right choice when you need scalability in terms of millions to billions of rows with the highest availability, such as 99.99 percent availability of characteristics, without compromising on performance. Cassandra's support for replicating across multiple datacenters is the best in the industry.

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