镜像自地址
https://github.com/tearshark/librf.git
已同步 2024-10-04 08:50:31 +08:00
188 行
4.7 KiB
C++
188 行
4.7 KiB
C++
#include <chrono>
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#include <iostream>
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#include <string>
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#include <thread>
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#include <deque>
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#include <mutex>
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#include "librf.h"
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using namespace resumef;
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using namespace std::chrono;
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const size_t MAX_CHANNEL_QUEUE = 1; //0, 1, 5, 10, -1
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//如果使用move_only_type来操作channel失败,说明中间过程发生了拷贝操作----这不是设计目标。
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template<class _Ty>
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struct move_only_type
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{
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_Ty value;
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move_only_type() = default;
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explicit move_only_type(const _Ty& val) : value(val) {}
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explicit move_only_type(_Ty&& val) : value(std::forward<_Ty>(val)) {}
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move_only_type(const move_only_type&) = delete;
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move_only_type& operator =(const move_only_type&) = delete;
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move_only_type(move_only_type&&) = default;
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move_only_type& operator =(move_only_type&&) = default;
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};
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//如果channel缓存的元素不能凭空产生,或者产生代价较大,则推荐第二个模板参数使用true。从而减小不必要的开销。
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using string_channel_t = channel_t<move_only_type<std::string>, false, true>;
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//channel其实内部引用了一个channel实现体,故可以支持复制拷贝操作
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future_t<> test_channel_read(string_channel_t c)
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{
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using namespace std::chrono;
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for (size_t i = 0; i < 10; ++i)
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{
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#ifndef __clang__
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try
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#endif
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{
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//auto val = co_await c.read();
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auto val = co_await c; //第二种从channel读出数据的方法。利用重载operator co_await(),而不是c是一个awaitable_t。
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std::cout << val.value << ":";
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std::cout << std::endl;
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}
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#ifndef __clang__
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catch (resumef::channel_exception& e)
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{
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//MAX_CHANNEL_QUEUE=0,并且先读后写,会触发read_before_write异常
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std::cout << e.what() << std::endl;
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}
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#endif
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co_await sleep_for(50ms);
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}
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}
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future_t<> test_channel_write(string_channel_t c)
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{
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using namespace std::chrono;
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for (size_t i = 0; i < 10; ++i)
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{
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//co_await c.write(std::to_string(i));
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co_await(c << std::to_string(i)); //第二种写入数据到channel的方法。因为优先级关系,需要将'c << i'括起来
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std::cout << "<" << i << ">:";
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std::cout << std::endl;
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}
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}
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void test_channel_read_first()
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{
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string_channel_t c(MAX_CHANNEL_QUEUE);
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go test_channel_read(c);
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go test_channel_write(c);
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this_scheduler()->run_until_notask();
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}
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void test_channel_write_first()
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{
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string_channel_t c(MAX_CHANNEL_QUEUE);
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go test_channel_write(c);
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go test_channel_read(c);
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this_scheduler()->run_until_notask();
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}
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static const int N = 1000000;
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void test_channel_performance_single_thread(size_t buff_size)
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{
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//1的话,效率跟golang比,有点惨不忍睹。
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//1000的话,由于几乎不需要调度器接入,效率就很高了,随便过千万数量级。
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channel_t<int, false, true> c{ buff_size };
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go[&]() -> future_t<>
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{
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for (int i = N - 1; i >= 0; --i)
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{
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co_await(c << i);
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}
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};
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go[&]() -> future_t<>
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{
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auto tstart = high_resolution_clock::now();
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int i;
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do
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{
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i = co_await c;
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} while (i > 0);
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auto dt = duration_cast<duration<double>>(high_resolution_clock::now() - tstart).count();
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std::cout << "channel buff=" << c.capacity() << ", w/r " << N << " times, cost time " << dt << "s" << std::endl;
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};
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this_scheduler()->run_until_notask();
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}
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void test_channel_performance_double_thread(size_t buff_size)
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{
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//1的话,效率跟golang比,有点惨不忍睹。
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//1000的话,由于几乎不需要调度器接入,效率就很高了,随便过千万数量级。
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channel_t<int, false, true> c{ buff_size };
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std::thread wr_th([c]
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{
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local_scheduler ls;
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GO
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{
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for (int i = N - 1; i >= 0; --i)
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{
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co_await(c << i);
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}
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};
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this_scheduler()->run_until_notask();
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});
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go[&]() -> future_t<>
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{
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auto tstart = high_resolution_clock::now();
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int i;
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do
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{
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i = co_await c;
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} while (i > 0);
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auto dt = duration_cast<duration<double>>(high_resolution_clock::now() - tstart).count();
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std::cout << "channel buff=" << c.capacity() << ", w/r " << N << " times, cost time " << dt << "s" << std::endl;
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};
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this_scheduler()->run_until_notask();
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wr_th.join();
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}
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void resumable_main_channel()
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{
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test_channel_read_first();
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std::cout << std::endl;
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test_channel_write_first();
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std::cout << std::endl;
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test_channel_performance_single_thread(1);
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test_channel_performance_single_thread(10);
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test_channel_performance_single_thread(100);
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test_channel_performance_single_thread(1000);
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test_channel_performance_double_thread(1);
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test_channel_performance_double_thread(10);
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test_channel_performance_double_thread(100);
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test_channel_performance_double_thread(1000);
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}
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