Book Image

Learning Concurrent Programming in Scala - Second Edition

By : Aleksandar Prokopec
Book Image

Learning Concurrent Programming in Scala - Second Edition

By: Aleksandar Prokopec

Overview of this book

Scala is a modern, multiparadigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. Scala smoothly integrates the features of object-oriented and functional languages. In this second edition, you will find updated coverage of the Scala 2.12 platform. The Scala 2.12 series targets Java 8 and requires it for execution. The book starts by introducing you to the foundations of concurrent programming on the JVM, outlining the basics of the Java Memory Model, and then shows some of the classic building blocks of concurrency, such as the atomic variables, thread pools, and concurrent data structures, along with the caveats of traditional concurrency. The book then walks you through different high-level concurrency abstractions, each tailored toward a specific class of programming tasks, while touching on the latest advancements of async programming capabilities of Scala. It also covers some useful patterns and idioms to use with the techniques described. Finally, the book presents an overview of when to use which concurrency library and demonstrates how they all work together, and then presents new exciting approaches to building concurrent and distributed systems. Who this book is written for If you are a Scala programmer with no prior knowledge of concurrent programming, or seeking to broaden your existing knowledge about concurrency, this book is for you. Basic knowledge of the Scala programming language will be helpful.
Table of Contents (19 chapters)
Learning Concurrent Programming in Scala - Second Edition
About the Author
About the Reviewers
Customer Feedback

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...