线程池实现重点:
1.标题核心组件:
- 工作线程集合:std::vector< std::thread >
- 任务队列:std::queue<std::function<void()>>
- 同步机制:std::mutex和std::condition_variable
- 停止标志:std::atomic
2.关键功能:
- 构造函数:创建指定数量的工作线程
- enqueue方法:提交任务并返回std::future
- 析构函数:停止所有线程并释放资源
3.异步处理:
- 使用std::packaged_task和std::future提供异步结果获取
- 模板化任务提交接口,支持任意函数和参数
- 支持返回值通过future获取
4.线程池使用方法:
- 创建线程池:ThreadPool pool(线程数量);
- 提交任务:auto future = pool.enqueue(函数, 参数…);
- 获取结果:auto result = future.get();
#include <iostream>
#include <vector>
#include <queue>
#include <thread>
#include <mutex>
#include <condition_variable>
#include <functional>
#include <future>
#include <memory>
#include <atomic>
class ThreadPool {
public:
ThreadPool(size_t numThreads) : stop(false) {
for (size_t i = 0; i < numThreads; ++i) {
workers.emplace_back([this] {
while (true) {
std::function<void()> task;
{
std::unique_lock<std::mutex> lock(queueMutex);
condition.wait(lock, [this] {
return stop || !tasks.empty();
});
if (stop && tasks.empty()) {
return;
}
task = std::move(tasks.front());
tasks.pop();
}
task();
}
});
}
}
~ThreadPool() {
{
std::unique_lock<std::mutex> lock(queueMutex);
stop = true;
}
condition.notify_all();
for (std::thread &worker : workers) {
if (worker.joinable()) {
worker.join();
}
}
}
ThreadPool(const ThreadPool&) = delete;
ThreadPool& operator=(const ThreadPool&) = delete;
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> result = task->get_future();
{
std::unique_lock<std::mutex> lock(queueMutex);
if (stop) {
throw std::runtime_error("enqueue on stopped ThreadPool");
}
tasks.emplace([task]() { (*task)(); });
}
condition.notify_one();
return result;
}
size_t size() const {
return workers.size();
}
size_t queueSize() const {
std::unique_lock<std::mutex> lock(queueMutex);
return tasks.size();
}
private:
std::vector<std::thread> workers;
std::queue<std::function<void()>> tasks;
mutable std::mutex queueMutex;
std::condition_variable condition;
std::atomic<bool> stop;
};
int main() {
ThreadPool pool(4);
auto task1 = [](int ms, int id) {
std::cout << "Task " << id << " starting in thread "
<< std::this_thread::get_id() << std::endl;
std::this_thread::sleep_for(std::chrono::milliseconds(ms));
std::cout << "Task " << id << " finished" << std::endl;
return id * 2;
};
std::vector<std::future<int>> results;
for (int i = 0; i < 8; ++i) {
results.emplace_back(
pool.enqueue(task1, i * 100 + 100, i)
);
}
for (auto& result : results) {
std::cout << "Result: " << result.get() << std::endl;
}
std::cout << "All tasks completed." << std::endl;
return 0;
}