add WaitStrategy #44
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,81 @@ | ||
| #include <chrono> | ||
| #include <iomanip> | ||
| #include <mutex> | ||
| #include <vector> | ||
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| #include "workspace/workspace.hpp" | ||
| #include "timewait.h" | ||
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| int main(int argn, char** argvs) { | ||
| int task_nums, thread_nums; | ||
| if (argn == 3) { | ||
| thread_nums = atoi(argvs[1]); | ||
| task_nums = atoi(argvs[2]); | ||
| } else { | ||
| fprintf(stderr, "Invalid parameter! usage: [threads + tasks]\n"); | ||
| return -1; | ||
| } | ||
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| for (auto strategy : {wsp::WaitStrategy::LowLatencyMode, wsp::WaitStrategy::BalancedMode, wsp::WaitStrategy::SleepMode}) { | ||
| wsp::workbranch wb(thread_nums, strategy); | ||
| std::vector<long long> latencies; | ||
| latencies.reserve(task_nums); | ||
| std::mutex latency_mutex; | ||
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| auto task = [&latencies, &latency_mutex](std::chrono::steady_clock::time_point submit_time) { | ||
| auto start_time = std::chrono::steady_clock::now(); | ||
| auto latency = std::chrono::duration_cast<std::chrono::microseconds>(start_time - submit_time).count(); | ||
| { | ||
| std::lock_guard<std::mutex> lock(latency_mutex); | ||
| latencies.push_back(latency); | ||
| } | ||
| }; | ||
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| // record submit_time | ||
| for (int i = 0; i < task_nums; ++i) { | ||
| auto submit_time = std::chrono::steady_clock::now(); | ||
| wb.submit([=]() { task(submit_time); }); | ||
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| } | ||
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| wb.wait_tasks(); | ||
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| // calculate latency | ||
| long long total_latency = 0; | ||
| long long max_latency = 0; | ||
| long long min_latency = latencies.empty() ? 0 : latencies[0]; | ||
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| for (auto latency : latencies) { | ||
| total_latency += latency; | ||
| if (latency > max_latency) { | ||
| max_latency = latency; | ||
| } | ||
| if (latency < min_latency) { | ||
| min_latency = latency; | ||
| } | ||
| } | ||
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| double avg_latency = latencies.empty() ? 0.0 : static_cast<double>(total_latency) / latencies.size(); | ||
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| const char* strategy_name = ""; | ||
| switch (strategy) { | ||
| case wsp::WaitStrategy::LowLatencyMode: | ||
| strategy_name = "LowLatencyMode"; | ||
| break; | ||
| case wsp::WaitStrategy::BalancedMode: | ||
| strategy_name = "BalancedMode"; | ||
| break; | ||
| case wsp::WaitStrategy::SleepMode: | ||
| strategy_name = "SleepMode"; | ||
| break; | ||
| } | ||
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| std::cout << "Strategy: " << std::left << std::setw(15) << strategy_name | ||
| << " | Threads: " << std::setw(2) << thread_nums << " | Tasks: " << std::setw(8) << task_nums | ||
| << " | Avg Latency: " << std::setw(8) << std::right << std::fixed << std::setprecision(2) | ||
| << avg_latency << " us" | ||
| << " | Min Latency: " << std::setw(4) << min_latency << " us" | ||
| << " | Max Latency: " << std::setw(8) << max_latency << " us" << std::endl; | ||
| } | ||
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| return 0; | ||
| } | ||
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在轻量的框架里面，获取高精度时间这个调用是相当重的，这样测试反映的耗时都在这个调用上而不是框架本身。只能是全部跑完统计。
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hanya@localhost:build$ ./bench4 4 1000000
Strategy: lowlatancy | Threads: 4 | Tasks: 1000000 | Avg Latency: 5.19 us | Min Latency: 0 us | Max Latency: 1027 us
Strategy: balance | Threads: 4 | Tasks: 1000000 | Avg Latency: 6.87 us | Min Latency: 0 us | Max Latency: 1256 us
Strategy: blocking | Threads: 4 | Tasks: 1000000 | Avg Latency: 6.14 us | Min Latency: 0 us | Max Latency: 145 us
hanya@localhost:build$ ./bench4 1 1000000
Strategy: lowlatancy | Threads: 1 | Tasks: 1000000 | Avg Latency: 56448.22 us | Min Latency: 28 us | Max Latency: 113657 us
Strategy: balance | Threads: 1 | Tasks: 1000000 | Avg Latency: 34161.14 us | Min Latency: 1 us | Max Latency: 71510 us
Strategy: blocking | Threads: 1 | Tasks: 1000000 | Avg Latency: 83461.47 us | Min Latency: 59 us | Max Latency: 152813 us
单个worker的总耗时是更低的，但是这里平均延迟高出了几个数量级。