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

Task-based parallelism in C++


A task is a computation that can be potentially executed concurrently with other computations. A thread is a system-level representation of a task. In the previous chapter, we learned how to execute a task concurrently with other tasks launched by constructing an std::thread object with the task as its argument to the constructor. A task can be any callable object such as a function, Lambda, or a functor. But this approach of executing a function concurrently using std::thread is called a thread-based approach. The preferred choice for concurrent execution is a task-based approach, and this will be discussed in this chapter. The advantage of a task-based approach over a thread-based approach is to operate at the (higher) conceptual level of tasks rather than directly at the lower level of threads and locks. Task-based parallelism is achieved by following standard library features:

  • Future and promise for returning a value from a task associated with a separate...