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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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 Prokopec Prokopec
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Prokopec
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Table of Contents (18) Chapters Close

Learning Concurrent Programming in Scala
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
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

Summary


This chapter presented some powerful abstractions for asynchronous programming. We have seen how to encode latency with the Future type, how to avoid blocking with callbacks on futures, and how to compose values from multiple futures. We have learned that futures and promises are closely tied together and that promises allow interfacing with legacy callback-based systems. In cases, where blocking was unavoidable, we learned how to use the Await object and the blocking statement. Finally, we learned that the Scala Async library is a powerful alternative for expressing future computations more concisely.

Futures and promises only allow dealing with a single value at a time. What if an asynchronous computation produces more than a single value before completing? Similarly, how do we efficiently execute thousands of asynchronous operations on different elements of large datasets? Should we use futures in such cases? In the next chapter, we will explore Scala's support for data-parallelism...

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