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Mastering Concurrency Programming with Java 9, Second Edition

You're reading from   Mastering Concurrency Programming with Java 9, Second Edition Fast, reactive and parallel application development

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785887949
Length 516 pages
Edition 2nd Edition
Languages
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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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Toc

Table of Contents (14) Chapters Close

Preface 1. The First Step - Concurrency Design Principles FREE CHAPTER 2. Working with Basic Elements - Threads and Runnables 3. Managing Lots of Threads - Executors 4. Getting the Most from Executors 5. Getting Data from Tasks - The Callable and Future Interfaces 6. Running Tasks Divided into Phases - The Phaser Class 7. Optimizing Divide and Conquer Solutions - The Fork/Join Framework 8. Processing Massive Datasets with Parallel Streams - The Map and Reduce Model 9. Processing Massive Datasets with Parallel Streams - The Map and Collect Model 10. Asynchronous Stream Processing - Reactive Streams 11. Diving into Concurrent Data Structures and Synchronization Utilities 12. Testing and Monitoring Concurrent Applications 13. Concurrency in JVM - Clojure and Groovy with the Gpars Library and Scala

Summary


Testing concurrent applications is a very hard task. There's no guarantee of the order of execution of the threads (unless the synchronization mechanisms have been introduced in your application), so you should test many more different situations than in a serial application. Sometimes, you will have errors in your application that you can reproduce because they only occur in very rare situations, and sometimes you will have errors that only occur on specific machines because of their hardware or software configurations.

In this chapter, you have learned some mechanisms that can help you to test concurrency applications more easily. First, you learned how to obtain information about the status of the most important components of the Java concurrency API as thread, lock, executor, or stream. This information can be very useful if you need to detect the cause of an error. Then, you learned how to use JConsole to monitor Java applications in general and concurrent applications in particular...

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