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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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Table of Contents (21) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
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 this chapter, you learned the different mechanisms that you can use to work with tasks that return a result. These tasks are based on the Callable interface, which declares the call() method. This is a parameterized interface with the class returned by the call method.

When you execute a Callable task in an executor, you will always obtain an implementation of the Future interface. You can use this object to cancel the execution of the task, know if the task has finished its execution, or get the result returned by the call() method.

You send Callable tasks to the executor using three different methods. With the submit() method, you send one task, and you will immediately get a Future object associated with this task. With the invokeAll() method, you send a list of tasks and will get a list of Future objects when all the tasks have finished their execution. With the invokeAny() method, you send a list of tasks, and you will receive the result (not a Future object) of the first task...

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