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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

The trouble with atomic variables

Atomic variables from Chapter 3, Traditional Building Blocks of Concurrency, are one of the fundamental synchronization mechanisms. We already know that volatile variables, introduced in Chapter 2, Concurrency on the JVM and the Java Memory Model, allow race conditions, in which the program correctness is subject to precise execution schedule of different threads. Atomic variables can ensure that no thread concurrently modifies the variable between a read and a write. At the same time, atomic variables reduce the risk of deadlocks. Regardless of their advantages, there are situations when using atomic variables is not satisfactory.

In Chapter 6, Concurrent Programming with Reactive Extensions, we implemented a minimalistic web browser using the Rx framework. Surfing around the web is great, but we would like to have some additional features in our browser. For example, we would like to maintain the browser's history: the list of URLs that were previously...

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