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.NET Design Patterns

You're reading from   .NET Design Patterns Learn to Apply Patterns in daily development tasks under .NET Platform to take your productivity to new heights.

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786466150
Length 314 pages
Edition 1st Edition
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Authors (2):
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Praseed Pai Praseed Pai
Author Profile Icon Praseed Pai
Praseed Pai
Shine Xavier Shine Xavier
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Shine Xavier
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Table of Contents (15) Chapters Close

Preface 1. An Introduction to Patterns and Pattern Catalogs FREE CHAPTER 2. Why We Need Design Patterns? 3. A Logging Library 4. Targeting Multiple Databases 5. Producing Tabular Reports 6. Plotting Mathematical Expressions 7. Patterns in the .NET Base Class Library 8. Concurrent and Parallel Programming under .NET 9. Functional Programming Techniques for Better State Management 10. Pattern Implementation Using Object/Functional Programming 11. What is Reactive Programming? 12. Reactive Programming Using .NET Rx Extensions 13. Reactive Programming Using RxJS 14. A Road Ahead

RxJS formalism

Now, unlike YieldJS, RxJS is push-based. Here, the subscribers would automatically receive new values from the publisher. A subscriber or listener is denoted by the observer object, and the publisher (that pushes/publishes new values) is denoted by the Observable object. Just like the way we specified iterator methods (our future operators) to compose our generated sequences, we can efficiently do the same (transform, filter, and so on) for all the elements in the observable sequence.

Observables and observers

The generator becomes our observable, and the callback function, which would be interested in these sequences, becomes the observer. Having said this, creating Observables is pretty straightforward, as we saw in the earlier chapter with reactive extensions for .NET. The following code bares it all:

    var client = Rx.Observable.create(function (observer) { 
      observer.onNext('On Your Mark'); 
      observer.onNext('Get Set'); 
      observer...
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