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Mastering Reactive JavaScript

You're reading from   Mastering Reactive JavaScript Building asynchronous and high performing web apps with RxJS

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786463388
Length 310 pages
Edition 1st Edition
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Author (1):
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Erich de Souza Oliveira Erich de Souza Oliveira
Author Profile Icon Erich de Souza Oliveira
Erich de Souza Oliveira
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Table of Contents (12) Chapters Close

Preface 1. What Does Being Reactive Mean? FREE CHAPTER 2. Reacting for the First Time 3. A World Full of Changes - Reactive Extensions to the Rescue 4. Transforming Data - Map, Filter, and Reduce 5. The World Changes Too Fast - Operators to Deal with Backpressure 6. Too Many Sources - Combining Observables 7. Something is Wrong - Testing and Dealing with Errors 8. More about Operators 9. Composition 10. A Real-Time Server 11. A Real-Time Client

A performance comparison for JavaScript code using transducers

One of the advantages of using transducers with RxJS is the performance improvement you can get from this, so far we have just commented on this improvement, now we will add some benchmarks so you can see the performance benefits for yourself. The results presented here are based on running on my personal computer; executions on different computers might lead to different results.

The most used and famous library for running benchmarks is called benchmarks. We can install it to run in Node.js environments using npm. To add it to your project just type the following command:

    npm install [email protected]

Before we start to use the library to benchmark transducers, let's see how we can use it through an example. Let's compare the difference between calling a function to sum two numbers using call or apply:

var Benchmark = require('benchmark...
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