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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
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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 10. Reactors

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 the 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 the map method 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. The top-down programming style...

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