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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Practical Multithreading in Scala

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786466891
Length 434 pages
Edition 2nd 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 10. Reactors

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 the precise execution schedule of different threads. Atomic variables can ensure that no thread concurrently modifies the variable between a read and a write operation. 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...

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