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

Summary


In this chapter, we discussed error handling in RxCpp, along with some of the advanced constructs and Operators to handle Streams in the RxCpp library. We visited the basic principles of a reactive system, and gave more emphasis to one of the key pillars of a reactive system, resilience, when we discussed error handling mechanisms. We discussed features such as error handlers (on_error), which need to be used with subscription. Also, we discussed RxCpp Operators, such as on_error_resume_next(), retry(), and finally(), to discuss how to continue Streams when an error comes, how to wait for the producer of the Stream to correct the error and continue the sequence, and how to perform common operations that are applicable to both success and error paths. Finally, we discussed two sample programs, to understand more about Stream processing. These programs illustrated how the RxCpp library can be used to process a Stream of UX events (simulated using a console program) and aggregate data...