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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

Too Many Sources - Combining Observables

In the last chapter, we learned how we can use different operators to deal with the backpressure problem, learned two different strategies to deal with this problem:

  • Lossy strategy
  • Loss-less strategy

For each strategy, we learned different operators implement a lossy strategy to deal with the back pressure problem. learned the following operators:

  • throttle()
  • sample()
  • debounce()
  • pause()

To implement a loss-less strategy to deal with the back pressure problem we learned the following operators:

  • bufferWithCount()
  • bufferWithTime()
  • bufferWithTimeOrCount()
  • pause() using buffering
  • controlled()

We also learned when to use each strategy, based on the amount of memory we have available and if we can afford losing any data or not.

For the last, we learned new operators to filter data, along with the filter() operator. This operator lets us avoid computation of unnecessary events...

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