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

Memory access and concurrency


For multithread applications, everything hangs on those memory locations. If multiple threads access different memory locations, everything works fine. But if two threads access the same memory location, then you must be very careful. As you have seen in Chapter 3Language-Level Concurrency and Parallelism in C++, multiple threads trying to read from the same memory location introduce no trouble, but as soon as any thread tries to modify data in a common memory location, chances for race conditions to occur come into the frame.

The problematic race conditions can only be avoided by enforced ordering between the access in multiple threads. As discussed in Chapter 3Language-Level Concurrency and Parallelism in C++, lock-based memory access using mutexes is a popular option. The other way is to leverage the synchronization properties of atomic operations by enforcing ordering between the access in two threads. In later sections of this chapter, you will see the...