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
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Chapter 9. Concurrency in Practice


"The best theory is inspired by practice."

 --Donald Knuth

We have studied a plethora of different concurrency facilities in this book. By now, you will have learned about dozens of different ways of starting concurrent computations and accessing shared data. Knowing how to use different styles of concurrency is useful, but it might not yet be obvious when to use which.

The goal of this final chapter is to introduce the big picture of concurrent programming. We will study the use cases for various concurrency abstractions, see how to debug concurrent programs, and how to integrate different concurrency libraries in larger applications. In this chapter, we will perform the following tasks:

  • Summarize the characteristics and typical uses of different concurrency frameworks introduced in the earlier chapters

  • Investigate how to deal with various kinds of bugs appearing in concurrent applications

  • Learn how to identify and resolve performance bottlenecks

  • Apply the...