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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

Volatile variables

The JVM offers a more lightweight form of synchronization than the synchronized block, called volatile variables. Volatile variables can be atomically read and modified, and are mostly used as status flags; for example, to signal that a computation is completed or cancelled. They have two advantages. First, writes to and reads from volatile variables cannot be reordered in a single thread. Second, writing to a volatile variable is immediately visible to all the other threads.

Note

Reads and writes to variables marked as volatile are never reordered. If a write W to a volatile v variable is observed on another thread through a read R of the same variable, then all the writes that preceded the write W are guaranteed to be observed after the read R.

In the following example, we search for at least one ! character in several pages of the text. Separate threads start scanning separate pages p of the text written by a person that is particularly fond of a popular fictional hero...

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