cpp/src/memory_usage_profile.cpp (71 lines of code) (raw):

/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied. See the License for the * specific language governing permissions and limitations * under the License. */ #include <iostream> #include <algorithm> #include <cmath> #include <chrono> #include <ctime> #include "memory_usage_profile.hpp" #include "distinct_count_accuracy_profile.hpp" namespace datasketches { // global variable for the counting_allocator long long int total_allocated_memory; /** * Manages multiple trials for measuring memory usage. * * <p>Trials are run along the distinct count axis (X-axis) first. A single trial * consists of a single sketch being updated with the max number of values, stopping at the * configured X-axis points along the way where the memory usage is recorded * into the stats array. Each instance of stats retains the distribution of * the memory usage for all the trials at that X-axis point. * * <p>Because trials may take a long time, this profile will output intermediate * results starting after min_trials and then again at trial intervals * determined by tppo until max_trials. This allows to stop the testing at * any intermediate trials point if sufficient number of trials is achieved. */ void memory_usage_profile::run() { const size_t lg_min_trials = 2; const size_t lg_max_trials = 16; const size_t trials_ppo = 4; const bool print_intermediate = true; // print intermediate data const size_t minT = 1 << lg_min_trials; const size_t max_trials = 1 << lg_max_trials; const size_t lg_min_x = 0; const size_t lg_max_x = 32; const size_t x_ppo = 16; const size_t quantiles_k = 10000; const size_t num_points = count_points(lg_min_x, lg_max_x, x_ppo); size_t p = 1 << lg_min_x; for (size_t i = 0; i < num_points; i++) { stats.push_back(kll_sketch<int>(quantiles_k)); p = pwr_2_law_next(x_ppo, p); } total_allocated_memory = 0; const auto start_time = std::chrono::system_clock::now(); // this will generate a table of data up to each intermediate number of trials size_t last_trials = 0; while (last_trials < max_trials) { const size_t next_trials = (last_trials == 0) ? minT : pwr_2_law_next(trials_ppo, last_trials); const int delta = next_trials - last_trials; for (int i = 0; i < delta; i++) { run_trial(lg_min_x, num_points, x_ppo); } last_trials = next_trials; if (print_intermediate or next_trials == max_trials) { print_stats(lg_min_x, num_points, x_ppo); } std::cout << "Cum Trials : " << last_trials << std::endl; const auto current_time = std::chrono::system_clock::now(); const std::chrono::milliseconds cum_time_ms = std::chrono::duration_cast<std::chrono::milliseconds>(current_time - start_time); std::cout << "Cum Time, ms : " << cum_time_ms.count() << std::endl; const double time_per_trial_ms = (cum_time_ms.count()) / last_trials; std::cout << "Avg Time Per Trial, ms : " << time_per_trial_ms << std::endl; const auto current_time_t = std::chrono::system_clock::to_time_t(current_time); std::cout << "Current time : " << std::ctime(&current_time_t); const auto time_to_complete_ms = std::chrono::duration_cast<std::chrono::milliseconds>( cum_time_ms / last_trials * (max_trials - last_trials)); const auto est_completion_time = std::chrono::system_clock::to_time_t(current_time + time_to_complete_ms); std::cout << "Est Time of Completion : " << std::ctime(&est_completion_time); std::cout << std::endl; } } void memory_usage_profile::print_stats(size_t lg_min_x, size_t num_points, size_t x_ppo) const { size_t p = 1 << lg_min_x; for (size_t i = 0; i < num_points; i++) { std::cout << p << "\t"; std::cout << stats[i].get_n() << "\t"; // quantiles const auto quants = stats[i].get_quantiles(FRACTIONS, FRACT_LEN); for (size_t i = 0; i < FRACT_LEN; i++) { const double quantile = quants[i]; std::cout << quantile; if (i != FRACT_LEN - 1) std::cout << "\t"; } std::cout << std::endl; p = pwr_2_law_next(x_ppo, p); } } }