打算先看一下生產(chǎn)者消費者模型,在進行從頭到尾系統(tǒng)的學習。
參考文章:C++11 并發(fā)指南九(綜合運用: C++11 多線程下生產(chǎn)者消費者模型詳解)
1 單生產(chǎn)者-單消費者模型
源碼及解析如下:
#include <unistd.h>
#include <cstdlib>
#include <condition_variable>
#include <iostream>
#include <mutex>
#include <thread>
static const int kItemRepositorySize = 10; // Item buffer size.
static const int kItemsToProduce = 1000; // How many items we plan to produce.
struct ItemRepository {
int item_buffer[kItemRepositorySize]; // 產(chǎn)品緩沖區(qū), 配合 read_position 和 write_position 模型環(huán)形隊列.
size_t read_position; // 消費者讀取產(chǎn)品位置.
size_t write_position; // 生產(chǎn)者寫入產(chǎn)品位置.
std::mutex mtx; // 互斥量,保護產(chǎn)品緩沖區(qū)
std::condition_variable repo_not_full; // 條件變量, 指示產(chǎn)品緩沖區(qū)不為滿.
std::condition_variable repo_not_empty; // 條件變量, 指示產(chǎn)品緩沖區(qū)不為空.
} gItemRepository; // 產(chǎn)品庫全局變量, 生產(chǎn)者和消費者操作該變量.
typedef struct ItemRepository ItemRepository;
void ProduceItem(ItemRepository *ir, int item)
{
std::unique_lock<std::mutex> lock(ir->mtx);//可以簡單的理解為開啟線程鎖
while(((ir->write_position + 1) % kItemRepositorySize)== ir->read_position)
{ // item buffer is full, just wait here.這時說明倉庫滿了,也就是寫入的指針已經(jīng)追著讀取的指針追到一圈了
std::cout << "Producer is waiting for an empty slot...\n";
(ir->repo_not_full).wait(lock); // 生產(chǎn)者等待"產(chǎn)品庫緩沖區(qū)不為滿"這一條件發(fā)生.
}
(ir->item_buffer)[ir->write_position] = item; // 在生產(chǎn)者指針位置寫入產(chǎn)品.
(ir->write_position)++; // 寫入位置后移.
if (ir->write_position == kItemRepositorySize) // 寫入位置若是在隊列最后則重新設置為初始位置.
ir->write_position = 0;
(ir->repo_not_empty).notify_all(); // 通知消費者產(chǎn)品庫不為空.
lock.unlock(); // 解鎖.
}
int ConsumeItem(ItemRepository *ir)
{
int data;
std::unique_lock<std::mutex> lock(ir->mtx);
// item buffer is empty, just wait here.
while(ir->write_position == ir->read_position) {
std::cout << "Consumer is waiting for items...\n";
(ir->repo_not_empty).wait(lock); // 消費者等待"產(chǎn)品庫緩沖區(qū)不為空"這一條件發(fā)生.
}
data = (ir->item_buffer)[ir->read_position]; // 讀取某一產(chǎn)品
(ir->read_position)++; // 讀取位置后移
if (ir->read_position >= kItemRepositorySize) // 讀取位置若移到最后,則重新置位.
ir->read_position = 0;
(ir->repo_not_full).notify_all(); // 通知消費者產(chǎn)品庫不為滿.
lock.unlock(); // 解鎖.
return data; // 返回產(chǎn)品.
}
void ProducerTask() // 生產(chǎn)者任務
{
for (int i = 1; i <= kItemsToProduce; ++i) {
// sleep(1);
std::cout << "Produce the " << i << "^th item..." << std::endl;
ProduceItem(&gItemRepository, i); // 循環(huán)生產(chǎn) kItemsToProduce 個產(chǎn)品.
}
}
void ConsumerTask() // 消費者任務
{
static int cnt = 0;
while(1) {
sleep(1);
int item = ConsumeItem(&gItemRepository); // 消費一個產(chǎn)品.
std::cout << "Consume the " << item << "^th item" << std::endl;
if (++cnt == kItemsToProduce) break; // 如果產(chǎn)品消費個數(shù)為 kItemsToProduce, 則退出.
}
}
void InitItemRepository(ItemRepository *ir)
{
ir->write_position = 0; // 初始化產(chǎn)品寫入位置.
ir->read_position = 0; // 初始化產(chǎn)品讀取位置.
}
int main()
{
InitItemRepository(&gItemRepository);
std::thread producer(ProducerTask); // 創(chuàng)建生產(chǎn)者線程.
std::thread consumer(ConsumerTask); // 創(chuàng)建消費之線程.
producer.join();
consumer.join();
}
2 多生產(chǎn)者-單消費者模型
這個可能近期會用到,所以記錄一下。例如數(shù)據(jù)庫操作,可以把要存儲的數(shù)據(jù)緩存下來,這樣可以提高數(shù)據(jù)采集速度,緩存下來的數(shù)據(jù)可以采用事務處理批量操作,又提高了數(shù)據(jù)庫存儲的速度。多個線程采集數(shù)據(jù),單個線程進行數(shù)據(jù)庫存儲。
#include <unistd.h>
#include <cstdlib>
#include <condition_variable>
#include <iostream>
#include <mutex>
#include <thread>
static const int kItemRepositorySize = 4; // Item buffer size.
static const int kItemsToProduce = 10; // How many items we plan to produce.
struct ItemRepository {
int item_buffer[kItemRepositorySize];
size_t read_position;
size_t write_position;
size_t item_counter;
std::mutex mtx;
std::mutex item_counter_mtx;
std::condition_variable repo_not_full;
std::condition_variable repo_not_empty;
} gItemRepository;
typedef struct ItemRepository ItemRepository;
void ProduceItem(ItemRepository *ir, int item)
{
std::unique_lock<std::mutex> lock(ir->mtx);
while(((ir->write_position + 1) % kItemRepositorySize)
== ir->read_position) { // item buffer is full, just wait here.
std::cout << "Producer is waiting for an empty slot...\n";
(ir->repo_not_full).wait(lock);
}
(ir->item_buffer)[ir->write_position] = item;
(ir->write_position)++;
if (ir->write_position == kItemRepositorySize)
ir->write_position = 0;
(ir->repo_not_empty).notify_all();
lock.unlock();
}
int ConsumeItem(ItemRepository *ir)
{
int data;
std::unique_lock<std::mutex> lock(ir->mtx);
// item buffer is empty, just wait here.
while(ir->write_position == ir->read_position) {
std::cout << "Consumer is waiting for items...\n";
(ir->repo_not_empty).wait(lock);
}
data = (ir->item_buffer)[ir->read_position];
(ir->read_position)++;
if (ir->read_position >= kItemRepositorySize)
ir->read_position = 0;
(ir->repo_not_full).notify_all();
lock.unlock();
return data;
}
void ProducerTask()
{
bool ready_to_exit = false;
while(1) {
sleep(1);
std::unique_lock<std::mutex> lock(gItemRepository.item_counter_mtx);//區(qū)別是這里加了個鎖
if (gItemRepository.item_counter < kItemsToProduce) {
++(gItemRepository.item_counter);
ProduceItem(&gItemRepository, gItemRepository.item_counter);
std::cout << "Producer thread " << std::this_thread::get_id()
<< " is producing the " << gItemRepository.item_counter
<< "^th item" << std::endl;
} else ready_to_exit = true;
lock.unlock();
if (ready_to_exit == true) break;
}
std::cout << "Producer thread " << std::this_thread::get_id()
<< " is exiting..." << std::endl;
}
void ConsumerTask()
{
static int item_consumed = 0;
while(1) {
sleep(1);
++item_consumed;
if (item_consumed <= kItemsToProduce) {
int item = ConsumeItem(&gItemRepository);
std::cout << "Consumer thread " << std::this_thread::get_id()
<< " is consuming the " << item << "^th item" << std::endl;
} else break;
}
std::cout << "Consumer thread " << std::this_thread::get_id()
<< " is exiting..." << std::endl;
}
void InitItemRepository(ItemRepository *ir)
{
ir->write_position = 0;
ir->read_position = 0;
ir->item_counter = 0;
}
int main()
{
InitItemRepository(&gItemRepository);
std::thread producer1(ProducerTask);
std::thread producer2(ProducerTask);
std::thread producer3(ProducerTask);
std::thread producer4(ProducerTask);
std::thread consumer(ConsumerTask);
producer1.join();
producer2.join();
producer3.join();
producer4.join();
consumer.join();