Book Image

Reactive Programming for .NET Developers

Book Image

Reactive Programming for .NET Developers

Overview of this book

Reactive programming is an innovative programming paradigm focused on time-based problem solving. It makes your programs better-performing, easier to scale, and more reliable. Want to create fast-running applications to handle complex logics and huge datasets for financial and big-data challenges? Then you have picked up the right book! Starting with the principles of reactive programming and unveiling the power of the pull-programming world, this book is your one-stop solution to get a deep practical understanding of reactive programming techniques. You will gradually learn all about reactive extensions, programming, testing, and debugging observable sequence, and integrating events from CLR data-at-rest or events. Finally, you will dive into advanced techniques such as manipulating time in data-flow, customizing operators and providers, and exploring functional reactive programming. By the end of the book, you'll know how to apply reactive programming to solve complex problems and build efficient programs with reactive user interfaces.
Table of Contents (15 chapters)
Reactive Programming for .NET Developers
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface

Creating Pattern<T>


The Pattern<T> is an odd kind of message that we can use to create flattened sequences of values sourcing from multiple sources.

As we have already seen in the Combining operators section of Chapter 3, Reactive Extension Programming, we can use the Zip operator to create a single output from multiple sources:

var values2 = Observable.Range(0, 100).Where(x => x % 2 == 0); 
var values3 = Observable.Range(0, 100).Where(x => x % 3 == 0); 
var values5 = Observable.Range(0, 100).Where(x => x % 5 == 0); 
 
//flatten sourcing sequences into a new sequence 
//based on the sourcing message index 
var zip = values2.Zip(values3, values5, (a, b, c) => new { a, b, c }); 
 
Console.WriteLine("Zip:"); 
zip.Subscribe(x => Console.WriteLine(x)); 

Other than the Zip operator, the Rx library give us the ability to create Pattern, a group of messages sourcing from different sequences at the same speed by correlating...