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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

Using transducers with RxJS

In the last section, we learned how we can apply a transducer to the most simple iterable object in JavaScript, an array. But we are more interested in how we can use this tool in functional reactive programming using RxJS.

Using transducers with RxJS we can see performance improvements, as we will avoid the creation of intermediate observable sequences and can improve the overall quality of our code with the composition of transformations.

To use a transducer in RxJS we need to use the transduce operator of the RxJS library; this operator has the following signature:

observable.transduce(transducer) 

It receives only one mandatory argument:

  • transducer: It is the transducer transformation to be applied on the observable sequence

The transduce operator, like any other observable operator, returns a new operator, but as we can compose several transformations inside a single transducer...

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