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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

Chapter 6. Concurrent Programming with Reactive Extensions

 

"Your mouse is a database."

 
 --Erik Meijer

The futures and promises from Chapter 4, Asynchronous Programming with Futures and Promises, push concurrent programming to a new level. First, they avoid blocking when transferring the result of the computation from the producer to the consumer. Second, they allow you to idiomatically compose simple future objects into more complex ones, resulting in programs that are more concise. Futures encapsulate patterns of asynchronous communication in a way that is clear and easily understandable.

One disadvantage of futures is that they can only deal with a single result. For HTTP requests or asynchronous computations that compute a single value, futures can be adequate, but sometimes we need to react to many different events coming from the same computation. For example, it is cumbersome to track the progress status of a file download with futures. Event streams...

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