| /* |
| * 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(¤t_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); |
| } |
| } |
| |
| } |