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C++ Reactive Programming

You're reading from   C++ Reactive Programming Design concurrent and asynchronous applications using the RxCpp library and Modern C++17

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788629775
Length 348 pages
Edition 1st Edition
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Authors (2):
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Peter Abraham Peter Abraham
Author Profile Icon Peter Abraham
Peter Abraham
Praseed Pai Praseed Pai
Author Profile Icon Praseed Pai
Praseed Pai
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Table of Contents (15) Chapters Close

Preface 1. Reactive Programming Model – Overview and History FREE CHAPTER 2. A Tour of Modern C++ and its Key Idioms 3. Language-Level Concurrency and Parallelism in C++ 4. Asynchronous and Lock-Free Programming in C++ 5. Introduction to Observables 6. Introduction to Event Stream Programming Using C++ 7. Introduction to Data Flow Computation and the RxCpp Library 8. RxCpp – the Key Elements 9. Reactive GUI Programming Using Qt/C++ 10. Creating Custom Operators in RxCpp 11. Design Patterns and Idioms for C++ Rx Programming 12. Reactive Microservices Using C++ 13. Advanced Streams and Handling Errors 14. Other Books You May Enjoy

Chaining stock operators


We have already learned that RxCpp operators operate on Observables (received as input) and return Observables. This allows these operators to be invoked one after the other using operator chaining. Each individual operator in the chain transforms elements in the stream received from the previous operator. The source stream is not mutated in the process. We use the fluent interface syntax when chaining operators.

 

 

Developers usually use the fluent interface in the context of the consumption of classes that implement the GOF Builder pattern. Builder pattern implementations are implemented in an order-independent manner. Even though the syntax of operator chaining is similar, the order in which operators are invoked does matter in the reactive world.

Let's write a simple program that will help us understand the significance of the order of execution in Observable operator chaining. In this particular example, we have an Observable stream where we apply the map operator...

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