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
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Debugging concurrent programs

Concurrent programming is much harder than sequential programming. There are multiple reasons for this. First, the details of the memory model are much more important in concurrent programming, resulting in increased programming complexity. Even on a platform with a well-defined memory model, such as the JVM, the programmer must take care to use proper memory access primitives in order to avoid data races. Then, it is harder to track the execution of a multithreaded program, simply because there are multiple executions proceeding simultaneously. Language debuggers are still focused on tracking the execution of a single thread at a time. Deadlocks and inherent nondeterminism are another source of bugs, neither of which is common in sequential programs. To make things worse, all these issues only have to do with ensuring the correctness of a concurrent program. Ensuring improved throughput and performance opens a separate set of problems, and is often harder than...