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

The C++ REST SDK-based REST server


Note

In this section, we have leveraged code from Marius Bancila's excellent article about the C++ REST SDK. In fact, the key/value database code is borrowed from his implementation. The authors are thankful to him for the excellent article, available at https://mariusbancila.ro/blog/2017/11/19/revisited-full-fledged-client-server-example-with-c-rest-sdk-2-10/.

 

 

 

Let's write a micro-service application that puts everything together we have learned so far in the context of Microsoft C++ REST SDK. We will consume REST services by leveraging the RxCurl library written by Kirk Shoop, as part of his Twitter analysis application. We have added support to the DELETE and PUT verbs, as the original implementation contained only support for GET and POST verbs. The REST service implemented here supports the following verbs:

  • GET: Lists all the key/value pairs in the storage. The response will be in the { key:value,key:value} format.
  • POST: Retrieves values corresponding...