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

Concurrent data structures

Every computer program works with data. They get the data from a database, a file, or another source, transform that data, and then write the transformed data into a database, a file, or another destination. Programs work with data stored in memory and use data structures to store the data in memory.

When you implement a concurrent application, you must be very careful with the utilization of data structures. If different threads can modify the data stored in a unique data structure, you have to use a synchronization mechanism to protect the modifications over that data structure. If you don't do this, you may have a data race condition. Your application may sometimes work correctly, but next time may crash with a random exception, stuck in an infinite loop or silently produce an incorrect result. The outcome will depend on the order of execution.

To avoid data race conditions, you can:

  • Use a non-synchronized data structure and add the synchronization mechanisms by...