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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Dive into the Scala framework with this programming guide, created to help you learn Scala and to build intricate, modern, scalable concurrent applications

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Product type Paperback
Published in Nov 2014
Publisher Packt
ISBN-13 9781783281411
Length 366 pages
Edition 1st Edition
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Author (1):
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Aleksandar Prokopec Aleksandar Prokopec
Author Profile Icon Aleksandar Prokopec
Aleksandar Prokopec
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Table of Contents (11) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Concurrency on the JVM and the Java Memory Model 3. Traditional Building Blocks of Concurrency 4. Asynchronous Programming with Futures and Promises 5. Data-Parallel Collections 6. Concurrent Programming with Reactive Extensions 7. Software Transactional Memory 8. Actors 9. Concurrency in Practice Index

Promises

In Chapter 2, Concurrency on the JVM and the Java Memory Model, we implemented an asynchronous method that used a worker thread and a task queue to receive and execute asynchronous computations. That example should have left you with a basic intuition about how the execute method is implemented in execution contexts. You might be wondering how the Future.apply method can return and complete a Future object. We will study promises in this section to answer this question. Promises are objects that can be assigned a value or an exception only once. This is why promises are sometimes also called single-assignment variables. A promise is represented with the Promise[T] type in Scala. To create a promise instance, we use the Promise.apply method on the Promise companion object:

def apply[T](): Promise[T]

This method returns a new promise instance. Like the Future.apply method, the Promise.apply method returns immediately; it is non-blocking. However, the Promise.apply method does not start...

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