std::string&CSession::GetUuid() {return_uuid; }voidCSession::Start(){ ::memset(_data,0, MAX_LENGTH); _socket.async_read_some(boost::asio::buffer(_data, MAX_LENGTH), boost::asio::bind_executor(_strand, std::bind(&CSession::HandleRead,this, std::placeholders::_1, std::placehold...
timer_(io_context), strand_(io_context.get_executor()) { } voidgo() { autoself(shared_from_this()); boost::asio::spawn(strand_, [this, self](boost::asio::yield_context yield) { try { chardata[128]; for(;;) { timer_.expires_from_now(std::chrono::seconds(10)); std::size_...
#include"request_handler.h"#include"parser.h"#include"cmd_executor.h"#include"update_mgr.h"#include"update_state.h"#include"zros/app_log/log.h"#include<functional>#include<vector>#include<algorithm>#include<arpa/inet.h>#include<string.h>staticconstuint32_t update_cmd =0x74;staticconstuint...
/usr/local/boost_1.70/include/boost/asio/detail/io_object_impl.hpp:87:40: error: no member named 'get_executor' in 'boost::reference_wrapperboost::asio::io_context' implementation_executor_(context.get_executor(), ~~~ ^ /usr/local/boost_1.70/include/boost/asio/basic_waitable_timer.hpp...
在异步模式下,程序除了发起IO操作外,还需要定义一个用于回调的完成处理函数。io_service将IO操作交给操作系统执行,但它不同步等待,而是立即返回。调用io_service的run成员函数可以等待异步操作完成。当异步操作完成时,io_service会从操作系统获取结果,再调用相应的处理函数(handler)来处理后续逻辑。
Executor 协程是 当前执行于 ,即我期望此片段中的断言能够成功: boost::asio::io_context ioc; auto io_ex = ioc.get_executor(); boost::asio::co_spawn(io_ex, [&]() -> boost::asio::awaitable<void> { auto switch_strand = boost::asio::make_strand(io_ex); co_await boost::asio::post...
strand_2(io_context_.get_executor()), { } 崩溃正在启动strand_2,看起来像io_context_ 2在server.exe.9124.dmp中的0x00007FFC8BD7FAAD (ntdll.dll)处查看崩溃转储时未能启动:0xC0000005:读取位置0xFFFFFFFFFFFFF的访问冲突。 in win_mutex.hpp - win_mutex::lock ...
}intmain(){autoctx = boost::asio::io_context{};autoguard = boost::asio::make_work_guard(ctx.get_executor()); boost::asio::co_spawn(ctx, async_op, boost::asio::detached); ctx.run(); } Run Code Online (Sandbox Code Playgroud) ...
get_executor(), [=] { if (balance_ >= amount) balance_ -= amount; }); } }; 这里,线程池就是一个典型的execution context,它表示了函数对象执行的位置。类似的还有Boost::Asio::io_context。 Priority Queue 仿照Boost::Asio::io_context的实现,我们可以定义一个priority_handler_queue类,它继承于...
post(m_socket.get_executor(), [this, self = shared_from_this(), msg = std::move(message)]() mutable { bool const write_in_progress = is_writing(); m_message_queue.emplace_back(std::move(msg)); if (!write_in_progress) { ...