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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
Languages
Concepts
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Author (1):
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 Prokopec Prokopec
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Prokopec
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Table of Contents (19) Chapters Close

Learning Concurrent Programming in Scala - Second Edition
Credits
Foreword
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Customer Feedback
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

Summary


This chapter presented the traditional building blocks of concurrent programs in Scala. We saw how to use Executor objects to run concurrent computations. We learned how to use atomic primitives to atomically switch between different states in the program and implement locks and lock-free algorithms. We studied the implementation of lazy values and their impact on concurrent programs. We then showed you important classes of concurrent collections and learned how to apply them in practice, and we concluded by visiting the scala.sys.process package. These insights are not only specific to Scala; but most languages and platforms also have concurrency utilities that are similar to the ones presented in this chapter.

Many other Java concurrency APIs are thoroughly explained in the book Java Concurrency in Practice, by Brian Goetz, Tim Peierls, Joshua Bloch, Joseph Bowbeer, David Holmes, and Doug Lea. To learn more about concepts such as lock-freedom, atomic variables, various types of...

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