Getting Started with Hazelcast - Second Edition

By Mat Johns

This book is an easy-to-follow, hands-on introduction that guides you through this innovative new technology. It covers everything from data grids to the simple-to-use distributed data storage collections. Queuing and topic messaging capabilities, as well as locking and transaction support to guard against concurrency race-conditions, are some of the topics that we will cover. We will then move on to distributed task execution, in-place data manipulations and big data analytical processing using MapReduce.At the end of all this, you will be armed with everything you need to bring amazing power and data scalability to your applications, as well as making them truly global and ready for a worldwide audience.

• Language: English
• Publisher: Packt Publishing
• Release date: Jul 30, 2015
• ISBN: 9781783554058

Book preview

Table of Contents

Getting Started with Hazelcast Second Edition

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers, and more

Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

Trademarks

1. What is Hazelcast?

Starting out as usual

Data deciding to hang around

Therein lies the problem

Breaking the mould

Moving to new ground

Playing around with our data

Summary

2. Getting off the Ground

Let's get started

Showing off straightaway

Mapping back to the real world

Sets, lists, and queues

Many things at a time

Searching and indexing

What happens when we reach our limits?

Summary

3. Going Concurrent

Atomic control

Distributed locking

Tactical locking

Transactionally rolling on

Differences when queuing

Enterprising onwards

Collectively counting up

Spreading the word

Summary

4. Divide and Conquer

Divvying up the data

Backups everywhere and nowhere

Scaling up the cluster

Having some of our data everywhere

Grouping and separating nodes

Network partitioning

Maintaining quorum

Summary

5. Listening Out

Listening to the goings-on

The sound of our own data

Continuously querying

Listeners racing into action

Keyless collections

Programmatic configuration ahead of time

Events unfolding in the wider world

Moving data around the place

Extending quorum

Summary

6. Spreading the Load

All power to the compute

Giving up when tasks take too long

Running once, running everywhere

Placing tasks next to the data

Partitioning control by name

Self-updating results

In-place entry processing

Summary

7. Gathering Results

What is this big data hype all about?

Trying to make sense of it all

Combining data where possible

Putting theory into practice

Combining results as we go

Simplifying just aggregating up

Summary

8. Typical Deployments

All heap and nowhere to go

Stepping back from the cluster

Serialization and classes

Getting straight to the point

Architectural overview

Peer-to-peer clusters

Smart clients and server clusters

Dummy client proxying through a single node

Summary

9. From the Outside Looking In

What about the rest of us?

Memcache

Going RESTful

Cluster status via REST

REST resilience

Summary

10. Going Global

Getting set up in the cloud

Under manual control

Discovery – the Amazonian way

Filtering the possibilities

Spreading out around the globe

Summary

11. Playing Well with Others

Don't pass what you need, depend on it

Simplifying collection access

Transparently caching others' data

Bring your own cluster

Cacheable methods with the Spring cache

Caching by standard

Collection persistence

Web session storage

Cluster management

JMX statistics

Summary

A. Configuration Summary

Cluster name

Management center

General properties

WAN replication configuration

Local network/interface binding

Cluster discovery (multicast-, unicast-, or EC2-based)

Map configuration

Maximum size and eviction

Backup copies

Age expiry and idle expiry times

Map merge policy

Selected WAN replication configuration

Indexes on values

Listeners notified on map events

Listeners notified on topic broadcast

Cluster-wide listener registration

Index

Getting Started with Hazelcast Second Edition

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Getting Started with Hazelcast Second Edition

Copyright © 2015 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: August 2013

Second edition: July 2015

Production reference: 1240715

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78528-533-2

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Credits

Author

Mat Johns

Reviewers

Thierry Leriche-Dessirier

Sven Panko

Adam Weidner

Commissioning Editor

Nadeem N. Bagban

Acquisition Editors

Mary Jasmine Nadar

Sonali Vernekar

Content Development Editor

Merwyn D'souza

Technical Editor

Bharat Patil

Copy Editors

Tani Kothari

Vedangi Narvekar

Project Coordinator

Nikhil Nair

Proofreader

Safis Editing

Indexer

Tejal Soni

Production Coordinator

Melwyn D'sa

Cover Work

Melwyn D'sa

About the Author

Mat Johns is an Agile software engineer, hands-on solution architect, and a general technologist based in London. His experience with the Web reaches all the way back to his misspent youth and some rather hacktastic code, but eventually, he grew up to graduate from the University of Southampton with a master's in computer science with distributed systems and networks. Since then, he has worked for a number of start-ups on various web projects and systems, and nowadays, he specializes in designing and creating high-performance and scalable web services, currently in the Internet TV world.

Away from technology, he is an avid explorer and endeavors to seek out new destinations and adventures as much as possible. He is also a qualified yacht skipper and regularly races in, around, and beyond the Solent.

You can follow him on Twitter at @matjohns.

Mat was also the author of the first edition of this book.

I would like to dedicate this book to my wonderful fiancée, Judith, for all her support and encouragement and for saying yes between Chapters 3 and 4!

About the Reviewers

Thierry Leriche-Dessirier works as a freelance JEE consultant (www.icauda.com) in Paris. He has 20 years of experience in the Java, web, and Agile development domains. He teaches software engineering at ESIEA (www.esiea.fr), and in between handling two baby bottles, he writes for blogs and magazines, such as Developpez (www.developpez.com) and Programmez (www.programmez.com). He has also created a free online DISC (Dominance, Influence, Steadiness, Conscientiousness: www.profil4.com) test, which is used to improve management.

Sven Panko has been developing software for the past 20 years and is enthusiastic about and dedicated to software craftsmanship and software design. He has worked as a developer, architect, chief architect, and head of software architecture for several IT companies worldwide. He is currently running his own consulting company based in Dusseldorf, Germany, where he supports clients in technology evaluation and in building robust and resilient distributed software. His special interests include performance tuning, API design (particularly, open cloud APIs), and concurrency. He also works as a motivational coach and personal trainer for teams in order to increase productivity, while ensuring that all team members help build a great working environment that is fun to work in.

You can reach Sven via e-mail at <[e-mail]> or his consulting site at www.intuitiveminds.de.

Adam Weidner recently graduated from Michigan Technological University and is currently employed as a software engineer. Adam knows many different languages and has experience in dozens of tools and technologies. He has also worked on big data projects and distributed systems in the past. He mostly spends his time working on various projects, writing web applications, and reading books and articles online. You can read about and contact him on his website http://adamweidner.com/.

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Preface

Hazelcast is an innovative new approach to data, in terms of storage, processing, and distribution; it provides an accessible solution to the age-old problem of application and data scalability. This book introduces this great open source technology in a step-by-step, easy-to-follow manner, from the why to the how and the wow.

What this book covers

Chapter 1, What is Hazelcast?, introduces the technology, its place in an application's stack, and how it has evolved from traditional approaches to data.

Chapter 2, Getting off the Ground, helps us start coding and get acquainted with the standard distributed data store collections on offer.

Chapter 3, Going Concurrent, looks at more distributed and concurrent capabilities that we can bring into our applications.

Chapter 4, Divide and Conquer, looks at how data is split up and split across many nodes to provide both performance and resilience.

Chapter 5, Listening Out, discusses how we can register to receive notifications from the cluster in order to enable our application to be aware of what's going on.

Chapter 6, Spreading the Load, moves beyond data storage and investigates the distributed execution service and how Hazelcast is more than just a database.

Chapter 7, Gathering Results, looks at MapReduce for analyzing and discovering hidden values within our raw data and how it searches and aggregates data.

Chapter 8, Typical Deployments, explores the various ways in which we can use or install Hazelcast into our application or infrastructure, looking at the architectural decisions, reasons, and trade-offs behind each.

Chapter 9, From the Outside Looking In, rather than the use of the provided drivers for integrating with a Hazelcast cluster, looks at the popular alternative access that we have to our data.

Chapter 10, Going Global, discusses how we can explode onto the world stage by using the public cloud infrastructure and asynchronous remote replication to take our data all around the globe.

Chapter 11, Playing Well with Others, brings the technology together with popular companion frameworks to see how we might start to bring the technology to work with legacy applications.

Appendix, Configuration Summary, provides an overview of the configurations that we have used throughout the book.

What you need for this book

Hazelcast is a Java-based technology, so you will need a Java development environment (minimum Java 6; ideally, Java 8) and the use of a Java source