它是线程安全的,是阻塞的。 //定义 usingsync_send_queue = boost::concurrent::sync_queue<STUDPPacketPtr>; sync_recv_queue m_recv_queue; //使用 while(true) { STUDPPacketPtr pack; boost::queue_op_status st=m_send_queue.wait_pull(pack);if(st ==boost::queue_op_status::closed) { gLog.LogText(LOG_ERROR,"sync send_queue has been cl...
{usingsync_recv_queue = boost::concurrent::sync_queue<STUDPPacketPtr>;usingsync_send_queue = boost::concurrent::sync_queue<STUDPPacketPtr>;public: CUDPServer() {};~CUDPServer() {}; boost_ec Start(boost::asio::io_service&ios, uint16_t port);protected:voidDoRecv();voidHandleRecvPack(...
[1]<array>:Array header (header) [2]<bitset>:Bitset header (header) [3]<deque>:Deque header (header) [4]<forward_list>:Forward list (header) [5]<list>:List header (header) [6]:Map header (header) [7]<queue>:Queue header (header) [8]<set>:Set header (header) [9]<stack>:...
Boost库可以作为标准C库的后备，通常被称为准标准库，是C标准化进程的重要开发引擎之一。使用Boost库可以...
Boost里面LockFree的代码主要分为:fressList.hpp, fresslist_base.hpp, queue.hpp,三个文件的详细注释如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 /// 内存无锁管理类, pool始终指向freelist的第一个可消费节点template<typenameT,typename NodeStorage=freelist_storage<T>>classfreelist:NodeStorage...
在并发环境下,阻塞队列是常用的数据结构,它能确保数据高效安全的传输,为快速搭建高质量的多线程应用带来极大的便利,比如MQ的原理就是基于阻塞队列的。java.util.concurrent中包含丰富的队列实现,它们之间的关系如下图所示: BlockingQueue、Deque(双向队列)继承自Queue接口; ...
push(res); // till our operation is running we will queue all the responses // this will allow us to have a massive amount of concurrent requests // but do only one asynchronous operation running at a time } }); app.listen(3000, () => { console.log("Server is running http://...
以下两种方式,都是10线程加python内存queue方式运行f函数,有了此框架,用户无需代码手写手动操作线程 协程 asyncio 进程 来并发。 1)手动开启线程池方式 importtimefromconcurrent.futuresimportThreadPoolExecutordeff(x):time.sleep(3)print(x)pool=ThreadPoolExecutor(10)if__name__=='__main__':foriinrange(100...
#8274 Synchro: Add concurrent queue #8513 Async: Add a basic thread_pool executor. #8518 Synchro: Add a latch class. #8516 Async: Add future/shared_future::then taking a scheduler as parameter. #9058 with_lock_guard function #9571 Add a dynamic executor and an executor adaptor ...
以下两种方式,都是10线程加python内存queue方式运行f函数,有了此框架,用户无需代码手写手动操作线程 协程 asyncio 进程 来并发。 1)手动开启线程池方式 import time from concurrent.futures import ThreadPoolExecutor def f(x): time.sleep(3) print(x) pool = ThreadPoolExecutor(10) if __name__ == '__...