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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

Chapter 4. Asynchronous Programming with Futures and Promises

 

Programming in a functional style makes the state presented to your code explicit, which makes it much easier to reason about, and, in a completely pure system, makes thread race conditions impossible.

 
 --John Carmack

In the examples of the previous chapters, we often dealt with blocking computations. We have seen that blocking synchronization can have negative effects—it can cause deadlocks, starve thread pools, or break lazy value initialization. While in some cases, blocking is the right tool for the job, in many cases we can avoid it. Asynchronous programming refers to the programming style in which executions occur independently of the main program flow. Asynchronous programming helps you to eliminate blocking: instead of suspending the thread whenever a resource is not available, a separate computation is scheduled to proceed once the resource becomes available.

In a way, many of the concurrency...

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