
在 C++ 中实现线程池是一种常见的多线程编程技术,用于管理和复用一组工作线程,以提高程序的性能和资源利用率。线程池的基本思路是预先创建一组线程,并将任务提交到一个任务队列中,线程从队列中获取任务并执行。
std::mutex)、条件变量(std::condition_variable)等。以下是一个简单的线程池实现示例:
#include <iostream>
#include <thread>
#include <vector>
#include <queue>
#include <functional>
#include <future>
#include <atomic>
#include <mutex>
#include <condition_variable>
class ThreadPool {
public:
ThreadPool(size_t threads) : stop(false) {
for (size_t i = 0; i < threads; ++i) {
workers.emplace_back([this] {
while (true) {
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();
}
});
}
}
~ThreadPool() {
{
std::unique_lock<std::mutex> lock(queue_mutex);
stop = true;
}
condition.notify_all();
for (std::thread &worker : workers) {
worker.join();
}
}
template<class F, class... Args>
auto enqueue(F&& f, Args&&... args) -> std::future<decltype(f(args...))> {
using return_type = decltype(f(args...));
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);
// 不允许加入新任务
if (stop) {
throw std::runtime_error("enqueue on stopped ThreadPool");
}
tasks.emplace([task]() { (*task)(); });
}
condition.notify_one();
return res;
}
private:
std::vector<std::thread> workers;
std::queue<std::function<void()>> tasks;
std::mutex queue_mutex;
std::condition_variable condition;
std::atomic<bool> stop;
};
// 示例任务函数
void taskFunction(int id) {
std::cout << "Task " << id << " is running on thread " << std::this_thread::get_id() << std::endl;
}
int main() {
ThreadPool pool(4);
for (int i = 0; i < 10; ++i) {
pool.enqueue(taskFunction, i);
}
return 0;
}std::future 对象,用于获取任务的返回值。std::condition_variable 等待任务队列中有任务可用。std::queue 存储任务。std::mutex 和 std::condition_variable 确保线程安全。原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。