Book Image

C++ Reactive Programming

By : Praseed Pai, Peter Abraham
Book Image

C++ Reactive Programming

By: Praseed Pai, Peter Abraham

Overview of this book

Reactive programming is an effective way to build highly responsive applications with an easy-to-maintain code base. This book covers the essential functional reactive concepts that will help you build highly concurrent, event-driven, and asynchronous applications in a simpler and less error-prone way. C++ Reactive Programming begins with a discussion on how event processing was undertaken by different programming systems earlier. After a brisk introduction to modern C++ (C++17), you’ll be taken through language-level concurrency and the lock-free programming model to set the stage for our foray into the Functional Programming model. Following this, you’ll be introduced to RxCpp and its programming model. You’ll be able to gain deep insights into the RxCpp library, which facilitates reactive programming. You’ll learn how to deal with reactive programming using Qt/C++ (for the desktop) and C++ microservices for the Web. By the end of the book, you will be well versed with advanced reactive programming concepts in modern C++ (C++17).
Table of Contents (20 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Different genres of custom operators


The RxCpp library contains different genres of operators as part of the stock offering. The default collection of RxCpp operators is enough for most applications. The different genres of available operators are as follows:

  • Creation operators
  • Transformation operators
  • Filtering operators
  • Combining operators
  • Error-handling operators
  • Utility operators
  • Boolean operators
  • Mathematical operators

The classification of operators gives developers a nice framework for choosing the appropriate operator for the context. In this section, we will implement the following:

  • Custom creational operators
  • Custom transformation operators
  • Custom operations that involve Schedulers

Writing a custom creational operator

The majority of RxCpp operator functions accept Observables and return an Observable to achieve composition of operators. We need to do some extra work to make the composition in a chainable fashion (in the next section, we will cover lift<t> and the topic of adding operators...