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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

Common strategies to deal with backpressure

In RxJS we have several operators which can be used to mitigate the backpressure problem, they belong to two different family of strategies the lossy and the loss-less strategies. We will see each one in detail in this chapter.

Lossy strategies to deal with backpressure

Lossy strategies to deal with backpressure are the ones we must use when we want to discard some data. As we discussed, you might not be interested in all the movements from your user mouse.

Lossy strategies let you mitigate the problem of backpressure using constant memory, as we don't keep any buffers.

The throttle() operator

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