Learning Concurrent Programming in Scala, 2nd Edition

Key Features

• Make the most of Scala by understanding its philosophy and harnessing the power of multicores
• Get acquainted with cutting-edge technologies in the field of concurrency, through practical, real-world applications
• Get this step-by-step guide packed with pragmatic examples

Book Description

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 an updated coverage of the Scala 2.12 platform. The Scala 2.12 series targets Java 8 and requires it for execution. It 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.

It 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 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.

What you will learn

• Get to grips with the fundamentals of concurrent programming on modern multiprocessor systems, with a particular focus on the JVM concurrency model
• Build high-performance concurrent systems from simple, low-level concurrency primitives
• Express asynchrony in concurrent computations with futures and promises
• Seamlessly accelerate sequential programs by using data-parallel collections
• Design safe, scalable, and easy-to-comprehend in-memory transactional data models
• Transparently create distributed applications that scale across multiple machines
• Integrate different concurrency frameworks together in large applications
• Develop and implement scalable and easy-to-understand concurrent applications in Scala 2.12

Table of Contents

Chapter 1. Introduction
Chapter 2. Concurrency on the JVM and the Java Memory Model
Chapter 3. Traditional Building Blocks of Concurrency
Chapter 4. Asynchronous Programming with Futures and Promises
Chapter 5. Data-Parallel Collections
Chapter 6. Concurrent Programming with Reactive Extensions
Chapter 7. Software Transactional Memory
Chapter 8. Actors
Chapter 9. Concurrency in Practice
Chapter 10. Reactors