写了个objectpool，很简单，就是个线程安全的队列。

#pragma once
#include <iostream>
#include <concurrent_vector.h>
#include <concurrent_queue.h>
#include <algorithm>

template <typename T>
class ObjectPool
{
public:
	ObjectPool(size_t chunk_size = kdefault_size, size_t chunk_num = 32)
		: chunk_size_ (chunk_size)
		, chunk_num_(chunk_num)
	{
		allocate_chunk();
	}
	~ObjectPool()
	{
		std::for_each(all_objects_.begin(), all_objects_.end(), ObjectPool<T>::array_delete_object);
	}

	T* acquire_object()
	{
		if (free_list_.empty())
		{
			allocate_chunk();
		}

		T *obj = nullptr;
		free_list_.try_pop(obj);
		return obj;
	}

	void release_object(T* obj)
	{
		if (NULL != obj)
			free_list_.push(obj);
	}

protected:
	void allocate_chunk()
	{
		printf("%s\n", __FUNCTION__);
		for (int i = 0; i < chunk_num_; ++i)
		{
			T* new_objects = new T(chunk_size_);
			all_objects_.push_back(new_objects);
			free_list_.push(new_objects);
		}
	}
	static void array_delete_object(T* obj)
	{
		delete obj;
	}

private:
	Concurrency::concurrent_queue<T*> free_list_;
	Concurrency::concurrent_vector<T*> all_objects_;
	int chunk_size_;                            //对象池中预分配对象个数
	int chunk_num_;
	static const size_t kdefault_size = 100;    //默认对象池大小

	ObjectPool(const ObjectPool<T>& src);
	ObjectPool<T>& operator=(const ObjectPool<T>& rhs);
};

主线程开启业务线程来写：

#define GLOG_NO_ABBREVIATED_SEVERITIES
#include <windows.h>
#include <glog/logging.h>
#include "ThreadLog.h"
#include <random>
#include <chrono>
#include <thread>

typedef std::chrono::high_resolution_clock::time_point time_point;
typedef std::chrono::duration<int64_t,std::ratio<1, 1000> > millisecond;
typedef std::chrono::duration<int64_t,std::ratio<1, 1000000> > microsecond;


void writeLog(void* para)
{
	std::random_device rd;
	int lognum = *(int*)para;
	for (int i = 0; i < lognum; ++i){
		LOG(INFO) << "how are " << rd() << " cookies";
	}
}
using namespace google;
int main(int argc, char* argv[]) {

	auto start_time = std::chrono::high_resolution_clock::now();
	google::InitGoogleLogging("test/testsss");
	google::base::Logger* mylogger = new google::ThreadLog;
	SetLogger(google::GLOG_INFO, mylogger);

	google::SetLogDestination(google::GLOG_INFO, "../Debug/Debug"); 
	int num_cookies = 0;
	int lognum = 1000000;
	int threadNum = 1;
	std::thread* threads = new std::thread[threadNum];
	for (int i = 0; i < threadNum; ++i)
	{
		threads[i] = std::thread(writeLog, &lognum);
	}

	for (int i = 0; i < threadNum; ++i)
	{
		threads[i].join();
	}

	auto application_end_time = std::chrono::high_resolution_clock::now();
	auto application_time_us = std::chrono::duration_cast<microsecond>(application_end_time - start_time).count()/1000;
	LOG(INFO) << "threadglog total use " << application_time_us << "s";
	google::ShutdownGoogleLogging();
}

单线程投递写日志一百万条用了13046s；

10个线程每个线程写一万条use 7808s；

额，忘记了，用的机子是thinkpad E431，四核 4G内存，显然还是发回来多核的优势。