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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

In simple concurrent applications, we execute concurrent tasks using the Runnable interface and the Thread class. We create and manage the threads and control their execution. We can't follow this approach in big concurrent applications because it can create many problems. For these cases, the Java concurrency API has introduced the Executor framework. In this chapter, we presented the basic characteristics and components that form this framework. First of all, we explored the Executor interface, which defines the basic method to send a Runnable task to an executor. This interface has a subinterface, the ExecutorService interface, which includes methods to send to the executor tasks that return a result (these tasks implement the Callable interface, as we will see in Chapter 5, Getting Data from Tasks - Callable and Future Interfaces), and a list of tasks.

The ThreadPoolExecutor...

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