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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

Subjects and top-down reactive programming


Composing Observable objects is similar to composing functions, collections, or futures. Complex Observable objects are formed from simpler parts using functional composition. This is a very Scala-idiomatic pattern, and it results in concise and understandable programs.

A not-so-obvious downside of functional composition is that it favors bottom-up programming style. An Observable object cannot be created without a reference to another Observable object that it depends on. For instance, we cannot create an Observable object using the map combinator without having an input Observable object to call map on. In a bottom-up programming style, we build complex programs by implementing the simplest parts first, and then gradually working our way up. By contrast, in a top-down programming style, we first define the complex parts of the system, and then gradually divide them into successively smaller pieces. Top-down programming style allows first declaring...

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