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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

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...

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