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Java 9 Concurrency Cookbook, Second Edition

Java 9 Concurrency Cookbook, Second Edition

By : Javier Fernández González
4 (1)
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Java 9 Concurrency Cookbook, Second Edition

Java 9 Concurrency Cookbook, Second Edition

4 (1)
By: Javier Fernández González

Overview of this book

Writing concurrent and parallel programming applications is an integral skill for any Java programmer. Java 9 comes with a host of fantastic features, including significant performance improvements and new APIs. This book will take you through all the new APIs, showing you how to build parallel and multi-threaded applications. The book covers all the elements of the Java Concurrency API, with essential recipes that will help you take advantage of the exciting new capabilities. You will learn how to use parallel and reactive streams to process massive data sets. Next, you will move on to create streams and use all their intermediate and terminal operations to process big collections of data in a parallel and functional way. Further, you’ll discover a whole range of recipes for almost everything, such as thread management, synchronization, executors, parallel and reactive streams, and many more. At the end of the book, you will learn how to obtain information about the status of some of the most useful components of the Java Concurrency API and how to test concurrent applications using different tools.
Table of Contents (19 chapters)
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Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Using a blocking thread-safe queue for communicating with producers and consumers


The producer/consumer problem is a classical problem in concurrent programming. You have one or more producers of data that store this data in a buffer. You also have one or more consumers of data that take the data from the same buffer. Both producers and consumers share the same buffer, so you have to control access to it to avoid data inconsistency problems. When the buffer is empty, the consumers wait until the buffer has elements. If the buffer is full, the producers wait until the buffer has empty space.

This problem has been implemented using almost all the techniques and synchronization mechanisms developed in Java and in other languages (refer to the See Also section to get more information). One advantage of this problem is that it can be extrapolated to a lot of real-world situations.

The Java 7 Concurrency API introduced a data structure oriented to be used in these kinds of problem. It's the LinkedTransferQueue...

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