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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

Combining observables

We already learned how we can create an observable containing all data from the other observables, but we can also use some other operators to combine this data or choose between them instead of just propagating everything.

Using the forkJoin() operator

This operator lets you run multiple observables in parallel and propagates the last elements of each one, so this operator is perfect for implementing flow control for promises or callback operations in JavaScript, as we already discussed in this chapter.

This operator has the following signature:

Rx.Observable.forkJoin(observables); 

This is a class() method instead of an instance() method, and it receives an arbitrary number of arguments and the last is optional:

  • observables: An...
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