g3log/g2log/test_performance/main_threaded_worst.cpp

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/* *************************************************
// * Filename: g2log-main_mean.cpp
// * Created: 2011 by Kjell Hedström
// *
// * PUBLIC DOMAIN and Not copy-writed
// * ********************************************* */
// through CMakeLists.txt #define of GOOGLE_GLOG_PERFORMANCE and G2LOG_PERFORMANCE
#include "performance.h"
#include <thread>
#include <vector>
#include <map>
#include <algorithm>
#include <cmath>
#if defined(G2LOG_PERFORMANCE)
const std::string title = "G2LOG";
#elif defined(GOOGLE_GLOG_PERFORMANCE)
const std::string title = "GOOGLE__GLOG";
#else
#error G2LOG_PERFORMANCE or GOOGLE_GLOG_PERFORMANCE was not defined
#endif
#if (defined(WIN32) || defined(_WIN32) || defined(__WIN32__))
const std::string g_path = "./";
#else
const std::string g_path = "/tmp/";
#endif
using namespace g2_test;
//
// OK: The code below isn't pretty but it works. Lots and lots of log entries
// to keep track of!
//
int main(int argc, char** argv)
{
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size_t number_of_threads =0;
if(argc == 2)
{
number_of_threads = atoi(argv[1]);
}
if(argc != 2 || number_of_threads == 0)
{
std::cerr << "USAGE is: " << argv[0] << " number_threads" << std::endl;
return 1;
}
std::ostringstream thread_count_oss;
thread_count_oss << number_of_threads;
const std::string g_prefix_log_name = title + "-performance-" + thread_count_oss.str() + "threads-WORST_LOG";
const std::string g_measurement_dump= g_path + g_prefix_log_name + "_RESULT.txt";
const std::string g_measurement_bucket_dump= g_path + g_prefix_log_name + "_RESULT_buckets.txt";
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std::ostringstream oss;
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oss << "\n\n" << title << " performance " << number_of_threads << " threads WORST (PEAK) times\n";
oss << "Each thread running #: " << g_loop << " * " << g_iterations << " iterations of log entries" << std::endl; // worst mean case is about 10us per log entry
const size_t xtra_margin = 2;
oss << "*** It can take som time. Please wait: Approximate wait time on MY PC was: " << number_of_threads * (long long) (g_iterations * 10 * xtra_margin / 1000000 ) << " seconds" << std::endl;
writeTextToFile(g_measurement_dump, oss.str(), kAppend);
oss.str(""); // clear the stream
#if defined(G2LOG_PERFORMANCE)
g2LogWorker* logger = new g2LogWorker(g_prefix_log_name, g_path);
g2::initializeLogging(logger);
#elif defined(GOOGLE_GLOG_PERFORMANCE)
google::InitGoogleLogging(argv[0]);
#endif
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std::thread* threads = new std::thread[number_of_threads];
std::vector<long long>* threads_result = new std::vector<long long>[number_of_threads];
// kiss: just loop, create threads, store them then join
// could probably do this more elegant with lambdas
for(size_t idx = 0; idx < number_of_threads; ++idx)
{
threads_result[idx].reserve(g_iterations);
}
auto start_time = std::chrono::steady_clock::now();
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for(size_t idx = 0; idx < number_of_threads; ++idx)
{
std::ostringstream count;
count << idx+1;
std::string thread_name = title + "_T" + count.str();
std::cout << "Creating thread: " << thread_name << std::endl;
threads[idx] = std::thread(measurePeakDuringLogWrites,thread_name, std::ref(threads_result[idx]));
}
// wait for thread finishing
for(size_t idx = 0; idx < number_of_threads; ++idx)
{
threads[idx].join();
}
auto application_end_time = std::chrono::steady_clock::now();
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delete [] threads;
#if defined(G2LOG_PERFORMANCE)
delete logger; // will flush anything in the queue to file
#elif defined(GOOGLE_GLOG_PERFORMANCE)
google::ShutdownGoogleLogging();
#endif
auto worker_end_time = std::chrono::steady_clock::now();
auto application_time_us = std::chrono::duration_cast<microsecond>(application_end_time - start_time).count();
auto total_time_us = std::chrono::duration_cast<microsecond>(worker_end_time - start_time).count();
oss << "\n" << g_iterations << " log entries took: [" << total_time_us / 1000000 << " s] to write to disk"<< std::endl;
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oss << "[Application(" << number_of_threads << "_threads+overhead time for measurement):\t" << application_time_us/1000 << " ms]" << std::endl;
oss << "[Background thread to finish:\t\t\t\t" << total_time_us/1000 << " ms]" << std::endl;
oss << "\nAverage time per log entry:" << std::endl;
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oss << "[Application: " << application_time_us/(number_of_threads*g_iterations) << " us]" << std::endl;
for(size_t idx = 0; idx < number_of_threads; ++idx)
{
std::vector<long long>& t_result = threads_result[idx];
oss << "[Application t" << idx+1 << " worst took: " << (*std::max_element(t_result.begin(), t_result.end())) / 1000 << " ms]" << std::endl;
}
writeTextToFile(g_measurement_dump,oss.str(), kAppend);
std::cout << "Result can be found at:" << g_measurement_dump << std::endl;
// now split the result in buckets of 10ms each so that it's obvious how the peaks go
std::vector<long long> all_measurements;
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all_measurements.reserve(g_iterations * number_of_threads);
for(size_t idx = 0; idx < number_of_threads; ++idx)
{
std::vector<long long>& t_result = threads_result[idx];
all_measurements.insert(all_measurements.end(), t_result.begin(), t_result.end());
}
delete [] threads_result; // finally get rid of them
std::sort (all_measurements.begin(), all_measurements.end());
std::map<size_t, size_t> value_amounts;
// for(long long& idx : all_measurements) --- didn't work?!
for(auto iter = all_measurements.begin(); iter != all_measurements.end(); ++iter)
{
auto value = (*iter)/1000; // convert to ms
//auto bucket=floor(value*10+0.5)/10;
++value_amounts[value]; // asuming size_t is default 0 when initialized
}
oss.str("");
oss << "Number of values rounted to milliseconds and put to [millisecond bucket] were dumped to file: " << g_measurement_bucket_dump << std::endl;
oss << "Format: bucket_of_ms, number_of_values_in_bucket\n\n" << std::endl;
std::cout << oss.str() << std::endl;
for(auto iter = value_amounts.begin(); iter != value_amounts.end(); ++iter)
{
oss << iter->first << "\t, " << iter->second << std::endl;
}
writeTextToFile(g_measurement_bucket_dump,oss.str(), kAppend, false);
return 0;
}