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

Chapter 6. Concurrent Programming with Reactive Extensions


"Your mouse is a database."

 --Erik Meijer

The futures and promises from Chapter 4, Asynchronous Programming with Futures and Promises, push concurrent programming to a new level. First, they avoid blocking when transferring the result of the computation from the producer to the consumer. Second, they allow you to idiomatically compose simple future objects into more complex ones, resulting in programs that are more concise. Futures encapsulate patterns of asynchronous communication in a way that is clear and easily understandable.

One disadvantage of futures is that they can only deal with a single result. For HTTP requests or asynchronous computations that compute a single value, futures can be adequate, but sometimes we need to react to many different events coming from the same computation. For example, it is cumbersome to track the progress status of a file download with futures. Event streams are a much better tool for this...