这里是一份简单的C++线程池代码,使用了C++11的std::thread和std::condition_variable实现:

#include <iostream>
#include <vector>
#include <queue>
#include <mutex>
#include <condition_variable>
#include <functional>
#include <thread>
#include <future>

class ThreadPool {
public:
    ThreadPool(size_t thread_count) : stop(false) {
        for (size_t i = 0; i < thread_count; ++i)
            workers.emplace_back([this] {
                for (;;) {
                    std::function<void()> task;

                    {
                        std::unique_lock<std::mutex> lock(this->queue_mutex);
                        this->condition.wait(lock, [this] { return this->stop || !this->tasks.empty(); });
                        if (this->stop && this->tasks.empty())
                            return;
                        task = std::move(this->tasks.front());
                        this->tasks.pop();
                    }

                    task();
                }
            });
    }

    template<class F, class... Args>
    auto enqueue(F&& f, Args&&... args) -> std::future<typename std::result_of<F(Args...)>::type> {
        using return_type = typename std::result_of<F(Args...)>::type;

        auto task = std::make_shared<std::packaged_task<return_type()>>(std::bind(std::forward<F>(f), std::forward<Args>(args)...));

        std::future<return_type> res = task->get_future();
        {
            std::unique_lock<std::mutex> lock(queue_mutex);

            if (stop)
                throw std::runtime_error("enqueue on stopped ThreadPool");

            tasks.emplace([task]() { (*task)(); });
        }
        condition.notify_one();
        return res;
    }

    ~ThreadPool() {
        {
            std::unique_lock<std::mutex> lock(queue_mutex);
            stop = true;
        }
        condition.notify_all();
        for (std::thread& worker : workers)
            worker.join();
    }

private:
    std::vector<std::thread> workers;
    std::queue<std::function<void()>> tasks;

    std::mutex queue_mutex;
    std::condition_variable condition;
    bool stop;
};

int main() {
    ThreadPool pool(4);

    std::vector<std::future<int>> results;

    for (int i = 0; i < 8; ++i) {
        results.emplace_back(
            pool.enqueue([i] {
                std::cout << "hello " << i << std::endl;
                std::this_thread::sleep_for(std::chrono::seconds(1));
                std::cout << "world " << i << std::endl;
                return i * i;
            })
        );
    }

    for (auto&& result : results)
        std::cout << result.get() << ' ';
    std::cout << std::endl;

    return 0;
}

这个线程池使用了可变参数模板,支持传入任意类型和任意数量的参数。它还返回了一个std::future对象,可以在任务完成后获取结果。在主函数中,我们创建了一个ThreadPool对象,然后向线程池中添加了8个任务,每个任务都会打印一些信息并等待1秒钟,最终输出任务的结果

用C++写一段线程池代码

原文地址: https://www.cveoy.top/t/topic/fg5d 著作权归作者所有。请勿转载和采集!

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