Book Image

Learning Concurrent Programming in Scala

By : Aleksandar Prokopec
5 (1)
Book Image

Learning Concurrent Programming in Scala

5 (1)
By: Aleksandar Prokopec

Overview of this book

Table of Contents (18 chapters)
Learning Concurrent Programming in Scala
About the Author
About the Reviewers

The advantages of Scala

Although Scala is still a language on the rise that has yet to receive the wide-scale adoption of a language such as Java, its support for concurrent programming is rich and powerful. Concurrency frameworks for nearly all the different styles of concurrent programming exist in the Scala ecosystem, and are being actively developed. Throughout its development, Scala has pushed the boundaries when it comes to providing modern, high-level application programming interfaces or APIs for concurrent programming. There are many reasons for this.

The primary reason that so many modern concurrency frameworks have found their way into Scala is its inherent syntactic flexibility. Thanks to features such as first-class functions, by-name parameters, type inference, and pattern matching explained in the following sections, it is possible to define APIs that look as if they are built-in language features.

Such APIs emulate various programming models as embedded domain-specific languages, with Scala serving as a host language: actors, software transactional memory, and futures are examples of APIs that look like they are basic language features, when they are in fact implemented as libraries. On one hand, Scala avoids the need for developing a new language for each new concurrent programming model, and serves as a rich nesting ground for modern concurrency frameworks. On the other hand, lifting the syntactic burden present in many other languages attracts more users.

The second reason Scala has pushed ahead lies in the fact that it is a safe language. Automatic garbage collection, automatic bound checks, and the lack of pointer arithmetic help to avoid problems such as memory leaks, buffer overflows, and other memory errors. Similarly, static type safety eliminates a lot of programming errors at an early stage. When it comes to concurrent programming, which is in itself prone to various kinds of concurrency errors, having one less thing to worry about can make a world of difference.

The third important reason is interoperability. Scala programs are compiled into Java bytecode, so the resulting executable code runs on top of the Java Virtual Machine (JVM). This means that Scala programs can seamlessly use existing Java libraries, and interact with Java's rich ecosystem. Often, transitioning to a different language is a painful process. In the case of Scala, a transition from a language such as Java can proceed gradually and is much easier. This is one of the reasons for its growing adoption, and also a reason why some Java-compatible frameworks choose Scala as their implementation language.

Importantly, the fact that Scala runs on the JVM implies that Scala programs are portable across a range of different platforms. Not only that, but the JVM has well-defined threading and memory models, which are guaranteed to work in the same way on different computers. While portability is important for the consistent semantics of sequential programs, it is even more important when it comes to concurrent computing.

Having seen some of Scala's advantages for concurrent programming, we are now ready to study the language features relevant for this book.