58.C++多线程_线程池
约 603 字大约 2 分钟
c++ 标准并没有提供现成的线程池,只能自己封装
简单线程池(C++11 std::thread + std::queue)
#include <iostream>
#include <vector>
#include <queue>
#include <thread>
#include <mutex>
#include <condition_variable>
#include <functional>
class ThreadPool {
public:
ThreadPool(size_t numThreads);
~ThreadPool();
void enqueue(std::function<void()> task);
private:
std::vector<std::thread> workers; // 线程池
std::queue<std::function<void()>> tasks; // 任务队列
std::mutex queueMutex;
std::condition_variable condition;
bool stop = false;
void workerThread(); // 线程工作函数
};
// 线程池构造函数
ThreadPool::ThreadPool(size_t numThreads) {
for (size_t i = 0; i < numThreads; ++i) {
workers.emplace_back([this] { workerThread(); });
}
}
// 线程池析构函数
ThreadPool::~ThreadPool() {
{
std::unique_lock<std::mutex> lock(queueMutex);
stop = true;
}
condition.notify_all(); // 唤醒所有线程
for (std::thread &worker : workers) {
worker.join(); // 等待线程结束
}
}
// 向任务队列添加任务
void ThreadPool::enqueue(std::function<void()> task) {
{
std::unique_lock<std::mutex> lock(queueMutex);
tasks.push(std::move(task));
}
condition.notify_one(); // 唤醒一个线程
}
// 线程工作函数
void ThreadPool::workerThread() {
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(); // 执行任务
}
}
int main() {
ThreadPool pool(4); // 创建 4 个线程的线程池
for (int i = 1; i <= 10; ++i) {
pool.enqueue([i] {
std::cout << "任务 " << i << " 由线程 " << std::this_thread::get_id() << " 执行\n";
std::this_thread::sleep_for(std::chrono::milliseconds(500)); // 模拟任务
});
}
std::this_thread::sleep_for(std::chrono::seconds(3)); // 主线程等待任务完成
return 0;
}
改进版线程池(std::future 支持异步返回值)
#include <iostream>
#include <vector>
#include <queue>
#include <thread>
#include <mutex>
#include <condition_variable>
#include <future>
class ThreadPool {
public:
ThreadPool(size_t numThreads);
~ThreadPool();
template <class F, class... Args>
auto enqueue(F&& f, Args&&... args) -> std::future<typename std::invoke_result<F, Args...>::type>;
private:
std::vector<std::thread> workers;
std::queue<std::function<void()>> tasks;
std::mutex queueMutex;
std::condition_variable condition;
bool stop = false;
void workerThread();
};
// 构造函数
ThreadPool::ThreadPool(size_t numThreads) {
for (size_t i = 0; i < numThreads; ++i) {
workers.emplace_back([this] { workerThread(); });
}
}
// 析构函数
ThreadPool::~ThreadPool() {
{
std::unique_lock<std::mutex> lock(queueMutex);
stop = true;
}
condition.notify_all();
for (std::thread &worker : workers) {
worker.join();
}
}
// 任务入队并返回 future
template <class F, class... Args>
auto ThreadPool::enqueue(F&& f, Args&&... args) -> std::future<typename std::invoke_result<F, Args...>::type> {
using return_type = typename std::invoke_result<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(queueMutex);
tasks.emplace([task]() { (*task)(); });
}
condition.notify_one();
return res;
}
// 线程工作函数
void ThreadPool::workerThread() {
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();
}
}
int main() {
ThreadPool pool(4);
auto future1 = pool.enqueue([](int x) { return x * 2; }, 5);
auto future2 = pool.enqueue([](int x, int y) { return x + y; }, 10, 20);
std::cout << "异步任务1结果: " << future1.get() << std::endl;
std::cout << "异步任务2结果: " << future2.get() << std::endl;
return 0;
}