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Reactive Programming for .NET Developers

You're reading from   Reactive Programming for .NET Developers Get up and running with reactive programming paradigms to build fast, concurrent, and powerful applications

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785882883
Length 276 pages
Edition 1st Edition
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Table of Contents (10) Chapters Close

Preface 1. First Steps Toward Reactive Programming FREE CHAPTER 2. Reactive Programming with C# 3. Reactive Extension Programming 4. Observable Sequence Programming 5. Debugging Reactive Extensions 6. CLR Integration and Scheduling 7. Advanced Techniques 8. F# and Functional Reactive Programming 9. Advanced FRP and Best Practices

Threading integration


With Rx, we have the ability to let our messages flow in specific threads to achieve high concurrency computation or we can define to use the main thread to comply with the UI controls requirements. This kind of thread integration is discussed in the Scheduling section.

Differently, in this section, we will cover the ability to flow the result of an asynchronous operation within a sequence.

Sourcing from a Task

A Task process is an asynchronous operation wrapped into an object that gives us the ability to create task hierarchy, task cancellation, and so on.

Often, in our applications, we use tasks to handle CPU-bound or IO-bound operations. When we're dealing with reactive applications, the best way to acknowledge a task completion is by routing ack as a message within a sequence. This is available throughout the ToObservable extension method of the Task class. Here's an example:

//as simple task 
var task = Task.Factory.StartNew(() => 
{ 
    Thread.Sleep...
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