Book Image

Mastering Concurrency Programming with Java 9 - Second Edition

By : Javier Fernández González
Book Image

Mastering Concurrency Programming with Java 9 - Second Edition

By: Javier Fernández González

Overview of this book

Concurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. Java 9 includes a comprehensive API with lots of ready-to-use components for easily implementing powerful concurrency applications, but with high flexibility so you can adapt these components to your needs. The book starts with a full description of the design principles of concurrent applications and explains how to parallelize a sequential algorithm. You will then be introduced to Threads and Runnables, which are an integral part of Java 9's concurrency API. You will see how to use all the components of the Java concurrency API, from the basics to the most advanced techniques, and will implement them in powerful real-world concurrency applications. The book ends with a detailed description of the tools and techniques you can use to test a concurrent Java application, along with a brief insight into other concurrency mechanisms in JVM.
Table of Contents (21 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback


Java is not the only programming language that you can use to make programs to the JVM. There are a lot of different programming languages, of different paradigms, that can be used for that purpose. Most of this has its own mechanism to implement concurrent applications.

In this chapter, we have seen how you can implement concurrent applications using three languages of the JVM. First, Clojure, which is an implementation of the Lisp functional programming language that offers different mechanisms to write concurrency applications as Atoms, agents, references, delays, futures, and promises. Then, Groovy with the GPars library, offers us a lot of different possibilities with its actors, its dataflows, and its concurrent data structures. Finally, we have Scala and its concurrency model based on Futures and Promises.