Javier Fernandez Gonzalez - Mastering Concurrency Programming with Java 8
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Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API
About This Book- Implement concurrent applications using the Java 8 Concurrency API and its new components
- Improve the performance of your applications or process more data at the same time, taking advantage of all of your resources.
- Construct real-world examples related to machine learning, data mining, image processing, and client/server environments
If you are a competent Java developer with a good understanding of concurrency but have no knowledge of how to effectively implement concurrent programs or use streams to make processes more efficient, then this book is for you.
What You Will Learn- Design concurrent applications by converting a sequential algorithm into a concurrent one
- Discover how to avoid all the possible problems you can get in concurrent algorithms
- Use the Executor framework to manage concurrent tasks without creating threads
- Extend and modify Executors to adapt their behavior to your needs
- Solve problems using the divide and conquer technique and the Fork/Join framework
- Process massive data sets with parallel streams and Map/Reduce implementation
- Control data-race conditions using concurrent data structures and synchronization mechanisms
- Test and monitor concurrent applications
Concurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. All the sub-tasks are combined together once the required results are achieved; they are then merged to get the final output. The whole process is very complex. This process goes from the design of concurrent algorithms to the testing phase where concurrent applications need extra attention. Java includes a comprehensive API with a lot of ready-to-use components to implement powerful concurrency applications in an easy way, but with a high flexibility to adapt these components to your needs.
The book starts with a full description of design principles of concurrent applications and how to parallelize a sequential algorithm. Well show you how to use all the components of the Java Concurrency API from basics to the most advanced techniques to implement them in powerful concurrency applications in Java.
You will be using real-world examples of complex algorithms related to machine learning, data mining, natural language processing, image processing in client / server environments. Next, you will learn how to use the most important components of the Java 8 Concurrency API: the Executor framework to execute multiple tasks in your applications, the phaser class to implement concurrent tasks divided into phases, and the Fork/Join framework to implement concurrent tasks that can be split into smaller problems (using the divide and conquer technique). Toward the end, we will cover the new inclusions in Java 8 API, the Map and Reduce model, and the Map and Collect model. The book will also teach you about the data structures and synchronization utilities to avoid data-race conditions and other critical problems. Finally, the book ends with a detailed description of the tools and techniques that you can use to test a Java concurrent application.
Style and approachA complete guide implementing real-world examples with algorithms related to machine learning, data mining, and natural language processing in client/server environments. All the examples are explained in a step-by-step approach.
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Copyright 2016 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 authors, 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: February 2016
Production reference: 1220216
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78588-612-6
www.packtpub.com
Author
Javier Fernndez Gonzlez
Reviewers
Antonio Gomes Rodrigues
Bradley Symons
Tagir Valeev
Commissioning Editor
Dipika Gaonkar
Acquisition Editor
Tushar Gupta
Content Development Editor
Shali Deeraj
Technical Editor
Gaurav Suri
Copy Editor
Dipti Mankame
Project Coordinator
Kinjal Bari
Proofreaders
Safis Editing
Indexers
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Graphics
Kirk D'Penha
Production Coordinator
Shantanu N. Zagade
Cover Work
Shantanu N. Zagade
Javier Fernndez Gonzlez is a software architect with almost 15 years' experience with Java technologies. He has worked as a teacher, researcher, programmer, analyst, writer, and now as an architect in all types of projects related to Java, especially J2EE. As a teacher, he has taught over 1,000 hours of training in basic Java, J2EE, and Struts framework. As a researcher, he has worked in the field of information retrieval, developing applications in order to process large amounts of data in Java and has been a part of several journal articles and conference presentations as a coauthor. In recent years, he has worked on developing J2EE web applications for various clients from different sectors (public administration, insurance, healthcare, transportation, and so on). Currently, he is working as a software architect at Capgemini, which includes developing and maintaining applications for an insurance company. Also, he is the author of the book Java 7 Concurrency Cookbook, Packt Publishing .
To Nuria, Paula, and Pelayo, for your infinite love and patience.
Antonio Gomes Rodrigues has worked with high-traffic websites, traders applications, Cloud applications, and so on. He has experience of working with many performance tools, such as JProfiler, Yourkit, VisualVM, Dynatrace, AppDynamics, Introscope, NewRelic, JMeter, LoadRunner, and so on. To put in place, he has worked on performance strategies, load testing, training, troubleshooting, and so on. He shares his knowledge in his French blog (http://arodrigues.developpez.com/), conferences, and book reviews.
I would like to thank my wife Aurlie for her support and my child Timothe.
Bradley Symons graduated with a BSc (Hons) degree in Computer Science and has gained the Oracle Java Professional Programmer certification. His current occupation is as a Java server-side developer, but he has previously worked with a variety of languages, including Ruby and Python. With over a decade of coding experience, he has worked for a variety of business sectors, including AI, Finance, Travel, and Entertainment. He is highly interested in Spring, AOP, and concurrency. Currently, he is learning Cuba among other recent developments within the Java world. He is well-regarded as an avid follower of coding best practices, refactoring patterns, and TDD. He personally expresses his admiration for the technical contributions from the legendary Martin Fowler.
I would like to thank Jim Combes, my old team lead, for offering me the role as a Java Developer and allowing my enthusiastic interest in Java to grow and develop over the years.
Tagir Valeev , PhD, is a research assistant in A.P. Ershov Institute of Informatics Systems, Novosibirsk, Russia, and a lead developer in Development Group Ltd., Novosibirsk, Russia. He is a Java programming professional, a contributor to the FindBugs project (Java static analysis tool), and the author of the StreamEx project, which enhances the Java 8 Stream API. He is also officially an OpenJDK author, contributing enhancements and bug fixes in Stream API implementation. He answered many questions on StackOverflow related to Stream API and Java concurrency.
Big thanks to my wife Ekaterina and my son Artyom, for support and patience which helped me so much to finish the reviewing.
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Nowadays, computer systems (and other related systems, such as tablets or smartphones) allow you to do several tasks simultaneously. This can be possible because they have concurrent operating systems that control several tasks at the same time. You can also have one application that executes several tasks (read a file, show a message, or read data over a network) if you work with the concurrency API of your favorite programming language. Java includes a very powerful concurrency API that allows you to implement any kind of concurrency application with little effort. This API increases the features provided to programmers in every version. Now, in Java 8, it has included the stream API and new methods and classes to facilitate the implementation of concurrent applications. This book covers the most important elements of the Java concurrency API, showing you how to use them in real-world applications. These elements are as follows:
- The executor framework, to control the execution of lots of task
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