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 core.async library

If you've ever done any amount of JavaScript programming, you have probably experienced callback hell. If you haven't, the following code should give you a good idea about what it is:

http.get('api/users/find?name=' + name, function(user){ 
  http.get('api/orders?userId=' + user.id, function(orders){ 
    orders.forEach(function(order){ 
      container.append(order); 
    }); 
  });     
}); 

This style of programming can easily get out of hand. Instead of writing more natural, sequential steps to achieve a task, that logic is instead scattered across multiple callbacks, increasing the developer's cognitive load.

In response to this, the JavaScript community released several promises libraries that are meant to solve this issue. We can think of promises as empty boxes we can pass into and return from our functions. At...