用C++利用线程池写一个从vstor传输文件到亚马逊云的代码

以下是一个简单的C++代码示例，演示了如何使用线程池来传输文件从vstor到亚马逊云。请注意，这只是一个简单的示例，您需要根据您的具体情况进行适当的更改和调整。

#include <iostream>
#include <fstream>
#include <string>
#include <vector>
#include <thread>
#include <mutex>
#include <condition_variable>
#include <future>
#include <queue>
#include <aws/core/Aws.h>
#include <aws/s3/S3Client.h>
#include <aws/s3/model/Object.h>

using namespace std;
using namespace Aws::S3;
using namespace Aws::S3::Model;

// 定义线程池类
class ThreadPool {
public:
    ThreadPool(size_t num_threads) {
        for (size_t i = 0; i < num_threads; ++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();
                }
            });
        }
    }

    ~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<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;
    }

private:
    std::vector<std::thread> workers;
    std::queue<std::function<void()>> tasks;
    std::mutex queue_mutex;
    std::condition_variable condition;
    bool stop = false;
};

// 从vstor读取文件
vector<char> read_from_vstor(const string &file_path) {
    vector<char> buffer;
    ifstream file(file_path, ios::binary);
    if (file) {
        file.seekg(0, ios::end);
        buffer.resize(file.tellg());
        file.seekg(0, ios::beg);
        file.read(&buffer[0], buffer.size());
    }
    return buffer;
}

// 将文件上传到亚马逊云
void upload_to_s3(const string &file_path, const string &bucket_name, const string &key_name) {
    Aws::SDKOptions options;
    Aws::InitAPI(options);
    {
        S3Client s3_client;
        auto request = PutObjectRequest();
        request.SetBucket(bucket_name.c_str());
        request.SetKey(key_name.c_str());
        auto input_data = read_from_vstor(file_path);
        auto input_data_stream = Aws::MakeShared<Aws::StringStream>("SampleAllocationTag",
                                                                    std::string(reinterpret_cast<const char *>(input_data.data()), input_data.size()));
        request.SetBody(input_data_stream);
        auto put_object_outcome = s3_client.PutObject(request);
        if (!put_object_outcome.IsSuccess()) {
            auto error = put_object_outcome.GetError();
            std::cout << "ERROR: " << error.GetMessage() << std::endl;
        }
    }
    Aws::ShutdownAPI(options);
}

int main() {
    const string file_path = "your_file_path";
    const string bucket_name = "your_bucket_name";
    const string key_name = "your_key_name";
    const size_t num_threads = 4;

    ThreadPool pool(num_threads);

    // 将任务放入线程池中
    auto upload_task = [&file_path, &bucket_name, &key_name] { upload_to_s3(file_path, bucket_name, key_name); };
    auto result = pool.enqueue(upload_task);

    // 等待任务完成
    result.get();

    return 0;
}

在这个示例中，我们使用了AWS SDK来上传文件到亚马逊S3。您需要根据您的具体情况进行相应的更改和调整，例如替换文件路径，桶名称和密钥名称。