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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

Acting when an error occurs

When an error occurs, the observable stops sending new data. We can use different strategies, such as switching to another observable or retry, but these are more advanced so first we will see how an observer can be notified by an error. As you probably remember, the subscribe() method from the observable object lets you pass up to three functions or allows an observer to be notified when an error occurs.

Take a look at the following signature:

observable.subscribe([onNext], [onError], [onCompleted]); 

The parameters are optional:

  • onNext: This function is to be called when new data is available in this observable. The function receives the data itself as a parameter.
  • onError: This function is to be called when an error is propagated through this observable. This function received the Error as a parameter.
  • onCompleted: This function is to be called when the observable is exhausted and...
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