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Clojure Reactive Programming

By : Leonardo Borges

4.3 (13)

Clojure Reactive Programming

4.3 (13)

By: Leonardo Borges

Overview of this book

If you are a Clojure developer who is interested in using Reactive Programming to build asynchronous and concurrent applications, this book is for you. Knowledge of Clojure and Leiningen is required. Basic understanding of ClojureScript will be helpful for the web chapters, although it is not strictly necessary.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. What is Reactive Programming?

1. What is Reactive Programming?

A taste of Reactive Programming

A bit of history

Signals and events

Implementation challenges

Applications of FRP

Summary

2. A Look at Reactive Extensions

2. A Look at Reactive Extensions

The Observer pattern revisited

Creating Observables

Manipulating Observables

Flatmap and friends

Error handling

Backpressure

Summary

3. Asynchronous Programming and Networking

3. Asynchronous Programming and Networking

Building a stock market monitoring application

Rolling averages

Identifying problems with our current approach

Removing incidental complexity with RxClojure

Summary

4. Introduction to core.async

4. Introduction to core.async

Asynchronous programming and concurrency

core.async

Rewriting the stock market application with core.async

Error handling

Backpressure

Transducers

Summary

5. Creating Your Own CES Framework with core.async

5. Creating Your Own CES Framework with core.async

A minimal CES framework

Exercises

A respondent application

CES versus core.async

Summary

6. Building a Simple ClojureScript Game with Reagi

6. Building a Simple ClojureScript Game with Reagi

Setting up the project

Reagi and other CES frameworks

Summary

7. The UI as a Function

7. The UI as a Function

The problem with complex web UIs

Enter React.js

ClojureScript and Om

Building a simple Contacts application with Om

Intercomponent communication

Exercises

Summary

8. Futures

8. Futures

Clojure futures

Fetching data in parallel

Imminent – a composable futures library for Clojure

The movies example revisited

Futures and blocking IO

Summary

9. A Reactive API to Amazon Web Services

9. A Reactive API to Amazon Web Services

The problem

Infrastructure automation

AWS resources dashboard

CloudFormation

EC2

RDS

Designing the solution

Exercises

Summary

A. The Algebra of Library Design

A. The Algebra of Library Design

The semantics of map

Finding the average of ages

Applicative Functors

Gathering stats about ages

Monads

Summary

B. Bibliography

B. Bibliography

Index

Index

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Error handling

A very important aspect of building reliable applications is knowing what to do when things go wrong. It is naive to assume that the network is reliable, that hardware won't fail, or that we, as developers, won't make mistakes.

RxJava embraces this fact and provides a rich set of combinators to deal with failure, a few of which we examine here.

OnError

Let's get started by creating a badly behaved observable that always throws an exception:

(defn exceptional-obs []
  (rx/observable*
   (fn [observer]
     (rx/on-next observer (throw (Exception. "Oops. Something went wrong")))
     (rx/on-completed observer))))

Now let's watch what happens if we subscribe to it:

(rx/subscribe (->> (exceptional-obs)
                   (rx/map inc))
              (fn [v] (prn-to-repl "result is " v)))

;; Exception Oops. Something went wrong  rx-playground.core/exceptional-obs/fn--1505

The exception thrown by exceptional-obs isn't caught anywhere so...

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