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

Schedulers and error handling


We already covered the topic of scheduling in Chapter 8, RxCpp – the Key Elements. The schedulers in RxCpp queue up the values and deliver the queued up value using the supplied coordination. The coordination could be the current execution thread, the RxCpp run loop, the RxCpp event loop, or a new thread. The execution of scheduler operations can be achieved by using the RxCpp Operators, such as observe_on() or subscribe_on(). These Operators accept the chosen coordination as an argument. By default, the RxCpp library is single-threaded, so it does the scheduler operations. The user has to explicitly choose the thread in which execution happens:

//----------OnError_ObserveOn1.cpp  
#include "rxcpp/rx.hpp" 
#include <iostream> 
#include <thread> 
 
int main() { 
    //---------------- Generate a range of values 
    //---------------- Apply Square function 
    auto values = rxcpp::observable<>::range(1, 4). 
        transform([](int v) { return...