Book Image

Learning Scala Programming

By : Vikash Sharma
Book Image

Learning Scala Programming

By: Vikash Sharma

Overview of this book

Scala is a general-purpose programming language that supports both functional and object-oriented programming paradigms. Due to its concise design and versatility, Scala's applications have been extended to a wide variety of fields such as data science and cluster computing. You will learn to write highly scalable, concurrent, and testable programs to meet everyday software requirements. We will begin by understanding the language basics, syntax, core data types, literals, variables, and more. From here you will be introduced to data structures with Scala and you will learn to work with higher-order functions. Scala's powerful collections framework will help you get the best out of immutable data structures and utilize them effectively. You will then be introduced to concepts such as pattern matching, case classes, and functional programming features. From here, you will learn to work with Scala's object-oriented features. Going forward, you will learn about asynchronous and reactive programming with Scala, where you will be introduced to the Akka framework. Finally, you will learn the interoperability of Scala and Java. After reading this book, you'll be well versed with this language and its features, and you will be able to write scalable, concurrent, and reactive programs in Scala.
Table of Contents (21 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Asynchronous programming


If we try to define asynchronous programming, we come up with something that states that it's a programming approach in which computations, which can be tasks or threads, execute outside of the basic program flow. In programming terminologies, these computations execute on different call stacks, not the current one. Because of this, it's possible for us to think of more than one async computation happening at the same time; we can wait for each to happen so that aggregation of a result or some other result manipulation is possible.

Up until now, we've looked at three of these terminologies such as concurrency, multithreading, and asynchronous. We tend to confuse these but given our discussions, it's clear that asynchronous subsumes concurrency and not multithreading. We know that asynchrony can be achieved using scheduling:

Well, the fact that we have to compose the results of multiple async problems running at the same time means we might end up needing some sort...