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Mastering Concurrency Programming with Java 8

You're reading from   Mastering Concurrency Programming with Java 8 Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API

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Product type Paperback
Published in Feb 2016
Publisher Packt
ISBN-13 9781785886126
Length 430 pages
Edition 1st Edition
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Author (1):
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Javier Fernández González Javier Fernández González
Author Profile Icon Javier Fernández González
Javier Fernández González
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Table of Contents (18) Chapters Close

Mastering Concurrency Programming with Java 8
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. The First Step – Concurrency Design Principles FREE CHAPTER 2. Managing Lots of Threads – Executors 3. Getting the Maximum from Executors 4. Getting Data from the Tasks – The Callable and Future Interfaces 5. Running Tasks Divided into Phases – The Phaser Class 6. Optimizing Divide and Conquer Solutions – The Fork/Join Framework 7. Processing Massive Datasets with Parallel Streams – The Map and Reduce Model 8. Processing Massive Datasets with Parallel Streams – The Map and Collect Model 9. Diving into Concurrent Data Structures and Synchronization Utilities 10. Integration of Fragments and Implementation of Alternatives 11. Testing and Monitoring Concurrent Applications Index

Chapter 9. Diving into Concurrent Data Structures and Synchronization Utilities

Among of the most important elements in every computer program are data structures. Data structures allow us to store the data that our applications read, transform, and write in different ways according to our needs. The selection of an adequate data structure is a critical point to get good performance. A bad choice can degrade the performance of an algorithm considerably. Java concurrency API includes some data structures designed to be used in concurrent applications without provoking data inconsistencies or loss of information.

Another critical point in concurrent applications are synchronization mechanisms. You use them to implement mutual exclusion by creating a critical section, that is to say, a piece of code that can only be executed by one thread at a time. But you can also use synchronization mechanisms to implement dependencies between threads when, for example, a concurrent task must wait for the...

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