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


Having seen the technical details of a variety of different concurrency libraries in the preceding chapters, we took a couple of steps back and presented a more cohesive view of Scala concurrency. After presenting a taxonomy of different styles of concurrency, we outlined the use cases for different concurrency frameworks. We then studied how to debug concurrent programs and analyze their performance. Finally, we combined the different concurrency frameworks together to implement a real-world distributed application: a remote file browser.

The best theory is inspired by practice, and the best practice is inspired by theory. This book has given you a fair amount of both. To deepen your understanding of concurrent computing, consider studying the references listed at the end of each chapter: you should already be able to grasp most of them. Importantly, to improve your practical concurrent programming skills, try to solve the exercises from this book. Finally, start building your own...