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.
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Mastering Reactive JavaScript
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Mastering Reactive JavaScript
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Overview of this book
If you’re struggling to handle a large amount of data and don’t know how to improve your code readability, then reactive programming is the right solution for you. It lets you describe how your code behaves when changes happen and makes it easier to deal with real-time data. This book will teach you what reactive programming is, and how you can use it to write better applications.
The book starts with the basics of reactive programming, what Reactive Extensions is, and how can you use it in JavaScript along with some reactive code using Bacon. Next, you’ll discover what an Observable and an Observer are and when to use them.You'll also find out how you can query data through operators, and how to use schedulers to react to changes.
Moving on, you’ll explore the RxJs API, be introduced to the problem of data traffic (backpressure), and see how you can mitigate it. You’ll also learn about other important operators that can help improve your code readability, and you’ll see how to use transducers to compose operators.
At the end of the book, you’ll get hands-on experience of using RxJs, and will create a real-time web chat using RxJs on the client and server, providing you with the complete package to master RxJs.
Table of Contents (12 chapters)
Preface
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What Does Being Reactive Mean?
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Reacting for the First Time
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A World Full of Changes - Reactive Extensions to the Rescue
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Transforming Data - Map, Filter, and Reduce
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The World Changes Too Fast - Operators to Deal with Backpressure
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Too Many Sources - Combining Observables
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Something is Wrong - Testing and Dealing with Errors
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More about Operators
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Composition
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A Real-Time Server
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A Real-Time Client
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