Book Image

Hands-On Reactive Programming with Clojure - Second Edition

By : Konrad Szydlo, Leonardo Borges
Book Image

Hands-On Reactive Programming with Clojure - Second Edition

By: Konrad Szydlo, Leonardo Borges

Overview of this book

Reactive Programming is central to many concurrent systems, and can help make the process of developing highly concurrent, event-driven, and asynchronous applications simpler and less error-prone. This book will allow you to explore Reactive Programming in Clojure 1.9 and help you get to grips with some of its new features such as transducers, reader conditionals, additional string functions, direct linking, and socket servers. Hands-On Reactive Programming with Clojure starts by introducing you to Functional Reactive Programming (FRP) and its formulations, as well as showing you how it inspired Compositional Event Systems (CES). It then guides you in understanding Reactive Programming as well as learning how to develop your ability to work with time-varying values thanks to examples of reactive applications implemented in different frameworks. You'll also gain insight into some interesting Reactive design patterns such as the simple component, circuit breaker, request-response, and multiple-master replication. Finally, the book introduces microservices-based architecture in Clojure and closes with examples of unit testing frameworks. By the end of the book, you will have gained all the knowledge you need to create applications using different Reactive Programming approaches.
Table of Contents (15 chapters)

The semantics of map

We will get started by taking a look at one of the most used operations in these abstractions: map.

We've been using map for a long time, in order to transform sequences. Thus, instead of creating a new function name for each new abstraction, library designers simply abstract the map operation over its own container type.

Imagine the mess that we would end up in if we had functions such as transform-observable, transform-channel, combine-futures, and so on.

Thankfully, this is not the case. The semantics of map are well understood, to the point that even if a developer hasn't used a specific library before, he will almost always assume that map will apply a function to the value(s) contained within whatever abstraction the library provides.

Let's look at three examples that we have encountered in this book. We will create a new Leiningen project...