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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

Using Lambdas

Now, let's see the usefulness of Lambda expressions for multithreading. In the following code, we are going to create five threads and put those into a vector container. Each thread will be using a Lambda function as the initialization function. The threads initialized in the following code are capturing the loop index by value:

int main() 
{ 
    std::vector<std::thread> threads; 
 
    for (int i = 0; i < 5; ++i) 
    { 
        threads.push_back(std::thread( [i]() { 
            std::cout << "Thread #" << i << std::endl; 
        })); 
    } 
 
    std::cout << "nMain function"; 
 
    std::for_each(threads.begin(), threads.end(), [](std::thread &t) { 
        t.join(); 
    }); 
} 

The vector container threads store five threads that have been created inside the loop. They are joined at the end of...

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