Summary: 1. it doesn't work 2. we're not using it In the future, if we need general benchmark framework, we should probably use https://github.com/google/benchmark Test Plan: make all Reviewers: yhchiang, rven, anthony, sdong Reviewed By: sdong Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D36777main
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// Copyright (c) 2013, Facebook, Inc. All rights reserved.
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree. An additional grant
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// of patent rights can be found in the PATENTS file in the same directory.
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#include <vector> |
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#ifndef __STDC_FORMAT_MACROS |
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#define __STDC_FORMAT_MACROS |
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#endif |
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#include <inttypes.h> |
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#include "util/testharness.h" |
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#include "util/benchharness.h" |
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#include "db/version_set.h" |
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#include "db/write_controller.h" |
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#include "db/writebuffer.h" |
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#include "util/mutexlock.h" |
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namespace rocksdb { |
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std::string MakeKey(uint64_t num) { |
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char buf[30]; |
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snprintf(buf, sizeof(buf), "%016" PRIu64, num); |
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return std::string(buf); |
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} |
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void BM_LogAndApply(int iters, int num_base_files) { |
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VersionSet* vset; |
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WriteController wc; |
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ColumnFamilyData* default_cfd; |
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uint64_t fnum = 1; |
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InstrumentedMutex mu; |
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InstrumentedMutexLock l(&mu); |
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BENCHMARK_SUSPEND { |
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std::string dbname = test::TmpDir() + "/rocksdb_test_benchmark"; |
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ASSERT_OK(DestroyDB(dbname, Options())); |
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DB* db = nullptr; |
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Options opts; |
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opts.create_if_missing = true; |
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Status s = DB::Open(opts, dbname, &db); |
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ASSERT_OK(s); |
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ASSERT_TRUE(db != nullptr); |
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delete db; |
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db = nullptr; |
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Options options; |
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EnvOptions sopt; |
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// Notice we are using the default options not through SanitizeOptions().
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// We might want to initialize some options manually if needed.
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options.db_paths.emplace_back(dbname, 0); |
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WriteBuffer wb(options.db_write_buffer_size); |
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// The parameter of table cache is passed in as null, so any file I/O
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// operation is likely to fail.
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vset = new VersionSet(dbname, &options, sopt, nullptr, &wb, &wc); |
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std::vector<ColumnFamilyDescriptor> dummy; |
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dummy.push_back(ColumnFamilyDescriptor()); |
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ASSERT_OK(vset->Recover(dummy)); |
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default_cfd = vset->GetColumnFamilySet()->GetDefault(); |
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VersionEdit vbase; |
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for (int i = 0; i < num_base_files; i++) { |
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InternalKey start(MakeKey(2 * fnum), 1, kTypeValue); |
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InternalKey limit(MakeKey(2 * fnum + 1), 1, kTypeDeletion); |
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vbase.AddFile(2, ++fnum, 0, 1 /* file size */, start, limit, 1, 1); |
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} |
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ASSERT_OK(vset->LogAndApply(default_cfd, |
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*default_cfd->GetLatestMutableCFOptions(), &vbase, &mu)); |
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} |
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for (int i = 0; i < iters; i++) { |
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VersionEdit vedit; |
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vedit.DeleteFile(2, fnum); |
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InternalKey start(MakeKey(2 * fnum), 1, kTypeValue); |
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InternalKey limit(MakeKey(2 * fnum + 1), 1, kTypeDeletion); |
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vedit.AddFile(2, ++fnum, 0, 1 /* file size */, start, limit, 1, 1); |
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vset->LogAndApply(default_cfd, *default_cfd->GetLatestMutableCFOptions(), |
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&vedit, &mu); |
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} |
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delete vset; |
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} |
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BENCHMARK_NAMED_PARAM(BM_LogAndApply, 1000_iters_1_file, 1000, 1) |
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BENCHMARK_NAMED_PARAM(BM_LogAndApply, 1000_iters_100_files, 1000, 100) |
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BENCHMARK_NAMED_PARAM(BM_LogAndApply, 1000_iters_10000_files, 1000, 10000) |
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BENCHMARK_NAMED_PARAM(BM_LogAndApply, 100_iters_100000_files, 100, 100000) |
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} // namespace rocksdb
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int main(int argc, char** argv) { |
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rocksdb::benchmark::RunBenchmarks(); |
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return 0; |
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} |
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// Copyright (c) 2013, Facebook, Inc. All rights reserved.
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree. An additional grant
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// of patent rights can be found in the PATENTS file in the same directory.
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//
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// This code is derived from Benchmark.cpp implemented in Folly, the opensourced
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// Facebook C++ library available at https://github.com/facebook/folly
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// The code has removed any dependence on other folly and boost libraries
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#include "util/benchharness.h" |
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#include <algorithm> |
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#include <cmath> |
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#include <cstring> |
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#include <limits> |
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#include <string> |
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#include <utility> |
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#include <vector> |
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#include "util/string_util.h" |
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#ifndef GFLAGS |
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bool FLAGS_benchmark = false; |
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uint64_t FLAGS_bm_min_usec = 100; |
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int64_t FLAGS_bm_min_iters = 1; |
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int32_t FLAGS_bm_max_secs = 1; |
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#else |
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#include <gflags/gflags.h> |
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DEFINE_bool(benchmark, false, "Run benchmarks."); |
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DEFINE_uint64(bm_min_usec, 100, |
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"Minimum # of microseconds we'll accept for each benchmark."); |
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DEFINE_int64(bm_min_iters, 1, |
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"Minimum # of iterations we'll try for each benchmark."); |
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DEFINE_int32(bm_max_secs, 1, |
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"Maximum # of seconds we'll spend on each benchmark."); |
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#endif // GFLAGS
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using std::function; |
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using std::get; |
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using std::make_pair; |
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using std::max; |
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using std::min; |
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using std::pair; |
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using std::sort; |
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using std::string; |
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using std::tuple; |
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using std::vector; |
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namespace rocksdb { |
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namespace benchmark { |
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BenchmarkSuspender::NanosecondsSpent BenchmarkSuspender::nsSpent; |
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typedef function<uint64_t(unsigned int)> BenchmarkFun; |
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static vector<tuple<const char*, const char*, BenchmarkFun>> benchmarks; |
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// Add the global baseline
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BENCHMARK(globalBenchmarkBaseline) { |
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asm volatile(""); |
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} |
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void detail::AddBenchmarkImpl(const char* file, const char* name, |
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BenchmarkFun fun) { |
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benchmarks.emplace_back(file, name, std::move(fun)); |
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} |
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/**
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* Given a point, gives density at that point as a number 0.0 < x <= |
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* 1.0. The result is 1.0 if all samples are equal to where, and |
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* decreases near 0 if all points are far away from it. The density is |
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* computed with the help of a radial basis function. |
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*/ |
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static double Density(const double * begin, const double *const end, |
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const double where, const double bandwidth) { |
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assert(begin < end); |
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assert(bandwidth > 0.0); |
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double sum = 0.0; |
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for (auto i = begin; i < end; i++) { |
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auto d = (*i - where) / bandwidth; |
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sum += exp(- d * d); |
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} |
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return sum / (end - begin); |
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} |
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/**
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* Computes mean and variance for a bunch of data points. Note that |
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* mean is currently not being used. |
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*/ |
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static pair<double, double> |
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MeanVariance(const double * begin, const double *const end) { |
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assert(begin < end); |
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double sum = 0.0, sum2 = 0.0; |
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for (auto i = begin; i < end; i++) { |
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sum += *i; |
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sum2 += *i * *i; |
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} |
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auto const n = end - begin; |
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return make_pair(sum / n, sqrt((sum2 - sum * sum / n) / n)); |
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} |
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/**
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* Computes the mode of a sample set through brute force. Assumes |
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* input is sorted. |
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*/ |
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static double Mode(const double * begin, const double *const end) { |
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assert(begin < end); |
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// Lower bound and upper bound for result and their respective
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// densities.
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auto |
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result = 0.0, |
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bestDensity = 0.0; |
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// Get the variance so we pass it down to Density()
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auto const sigma = MeanVariance(begin, end).second; |
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if (!sigma) { |
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// No variance means constant signal
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return *begin; |
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} |
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for (auto i = begin; i < end; i++) { |
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assert(i == begin || *i >= i[-1]); |
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auto candidate = Density(begin, end, *i, sigma * sqrt(2.0)); |
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if (candidate > bestDensity) { |
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// Found a new best
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bestDensity = candidate; |
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result = *i; |
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} else { |
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// Density is decreasing... we could break here if we definitely
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// knew this is unimodal.
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} |
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} |
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return result; |
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} |
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/**
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* Given a bunch of benchmark samples, estimate the actual run time. |
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*/ |
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static double EstimateTime(double * begin, double * end) { |
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assert(begin < end); |
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// Current state of the art: get the minimum. After some
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// experimentation, it seems taking the minimum is the best.
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return *std::min_element(begin, end); |
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// What follows after estimates the time as the mode of the
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// distribution.
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// Select the awesomest (i.e. most frequent) result. We do this by
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// sorting and then computing the longest run length.
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sort(begin, end); |
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// Eliminate outliers. A time much larger than the minimum time is
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// considered an outlier.
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while (end[-1] > 2.0 * *begin) { |
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--end; |
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if (begin == end) { |
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// LOG(INFO) << *begin;
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} |
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assert(begin < end); |
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} |
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double result = 0; |
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/* Code used just for comparison purposes */ { |
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unsigned bestFrequency = 0; |
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unsigned candidateFrequency = 1; |
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double candidateValue = *begin; |
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for (auto current = begin + 1; ; ++current) { |
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if (current == end || *current != candidateValue) { |
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// Done with the current run, see if it was best
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if (candidateFrequency > bestFrequency) { |
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bestFrequency = candidateFrequency; |
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result = candidateValue; |
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} |
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if (current == end) { |
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break; |
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} |
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// Start a new run
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candidateValue = *current; |
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candidateFrequency = 1; |
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} else { |
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// Cool, inside a run, increase the frequency
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++candidateFrequency; |
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} |
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} |
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} |
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result = Mode(begin, end); |
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return result; |
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} |
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static double RunBenchmarkGetNSPerIteration(const BenchmarkFun& fun, |
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const double globalBaseline) { |
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// They key here is accuracy; too low numbers means the accuracy was
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// coarse. We up the ante until we get to at least minNanoseconds
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// timings.
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static const auto minNanoseconds = FLAGS_bm_min_usec * 1000UL; |
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// We do measurements in several epochs and take the minimum, to
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// account for jitter.
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static const unsigned int epochs = 1000; |
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// We establish a total time budget as we don't want a measurement
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// to take too long. This will curtail the number of actual epochs.
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const uint64_t timeBudgetInNs = FLAGS_bm_max_secs * 1000000000; |
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auto env = Env::Default(); |
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uint64_t global = env->NowNanos(); |
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double epochResults[epochs] = { 0 }; |
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size_t actualEpochs = 0; |
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for (; actualEpochs < epochs; ++actualEpochs) { |
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for (unsigned int n = static_cast<unsigned int>(FLAGS_bm_min_iters); |
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n < (1UL << 30); n *= 2) { |
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auto const nsecs = fun(n); |
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if (nsecs < minNanoseconds) { |
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continue; |
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} |
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// We got an accurate enough timing, done. But only save if
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// smaller than the current result.
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epochResults[actualEpochs] = max(0.0, |
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static_cast<double>(nsecs) / n - globalBaseline); |
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// Done with the current epoch, we got a meaningful timing.
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break; |
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} |
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uint64_t now = env->NowNanos(); |
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if ((now - global) >= timeBudgetInNs) { |
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// No more time budget available.
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++actualEpochs; |
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break; |
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} |
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} |
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// If the benchmark was basically drowned in baseline noise, it's
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// possible it became negative.
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return max(0.0, EstimateTime(epochResults, epochResults + actualEpochs)); |
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} |
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struct ScaleInfo { |
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double boundary; |
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const char* suffix; |
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}; |
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static const ScaleInfo kTimeSuffixes[] { |
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{ 365.25 * 24 * 3600, "years" }, |
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{ 24 * 3600, "days" }, |
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{ 3600, "hr" }, |
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{ 60, "min" }, |
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{ 1, "s" }, |
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{ 1E-3, "ms" }, |
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{ 1E-6, "us" }, |
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{ 1E-9, "ns" }, |
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{ 1E-12, "ps" }, |
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{ 1E-15, "fs" }, |
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{ 0, nullptr }, |
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}; |
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static const ScaleInfo kMetricSuffixes[] { |
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{ 1E24, "Y" }, // yotta
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{ 1E21, "Z" }, // zetta
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{ 1E18, "X" }, // "exa" written with suffix 'X' so as to not create
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// confusion with scientific notation
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{ 1E15, "P" }, // peta
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{ 1E12, "T" }, // terra
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{ 1E9, "G" }, // giga
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{ 1E6, "M" }, // mega
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{ 1E3, "K" }, // kilo
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{ 1, "" }, |
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{ 1E-3, "m" }, // milli
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{ 1E-6, "u" }, // micro
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{ 1E-9, "n" }, // nano
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{ 1E-12, "p" }, // pico
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{ 1E-15, "f" }, // femto
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{ 1E-18, "a" }, // atto
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{ 1E-21, "z" }, // zepto
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{ 1E-24, "y" }, // yocto
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{ 0, nullptr }, |
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}; |
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static string HumanReadable(double n, unsigned int decimals, |
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const ScaleInfo* scales) { |
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if (std::isinf(n) || std::isnan(n)) { |
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return ToString(n); |
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} |
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const double absValue = fabs(n); |
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const ScaleInfo* scale = scales; |
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while (absValue < scale[0].boundary && scale[1].suffix != nullptr) { |
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++scale; |
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} |
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const double scaledValue = n / scale->boundary; |
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char a[80]; |
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snprintf(a, sizeof(a), "%.*f%s", decimals, scaledValue, scale->suffix); |
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return a; |
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} |
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static string ReadableTime(double n, unsigned int decimals) { |
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return HumanReadable(n, decimals, kTimeSuffixes); |
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} |
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static string MetricReadable(double n, unsigned int decimals) { |
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return HumanReadable(n, decimals, kMetricSuffixes); |
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} |
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static void PrintBenchmarkResultsAsTable( |
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const vector<tuple<const char*, const char*, double> >& data) { |
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// Width available
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static const uint columns = 76; |
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// Compute the longest benchmark name
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size_t longestName = 0; |
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for (size_t i = 1; i < benchmarks.size(); i++) { |
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longestName = max(longestName, strlen(get<1>(benchmarks[i]))); |
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} |
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// Print a horizontal rule
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auto separator = [&](char pad) { |
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puts(string(columns, pad).c_str()); |
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}; |
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// Print header for a file
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auto header = [&](const char* file) { |
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separator('='); |
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printf("%-*srelative time/iter iters/s\n", |
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columns - 28, file); |
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separator('='); |
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}; |
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double baselineNsPerIter = std::numeric_limits<double>::max(); |
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const char* lastFile = ""; |
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for (auto& datum : data) { |
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auto file = get<0>(datum); |
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if (strcmp(file, lastFile)) { |
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// New file starting
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header(file); |
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lastFile = file; |
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} |
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string s = get<1>(datum); |
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if (s == "-") { |
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separator('-'); |
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continue; |
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} |
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bool useBaseline /* = void */; |
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if (s[0] == '%') { |
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s.erase(0, 1); |
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useBaseline = true; |
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} else { |
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baselineNsPerIter = get<2>(datum); |
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useBaseline = false; |
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} |
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s.resize(columns - 29, ' '); |
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auto nsPerIter = get<2>(datum); |
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auto secPerIter = nsPerIter / 1E9; |
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auto itersPerSec = 1 / secPerIter; |
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if (!useBaseline) { |
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// Print without baseline
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printf("%*s %9s %7s\n", |
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static_cast<int>(s.size()), s.c_str(), |
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ReadableTime(secPerIter, 2).c_str(), |
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MetricReadable(itersPerSec, 2).c_str()); |
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} else { |
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// Print with baseline
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auto rel = baselineNsPerIter / nsPerIter * 100.0; |
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printf("%*s %7.2f%% %9s %7s\n", |
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static_cast<int>(s.size()), s.c_str(), |
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rel, |
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ReadableTime(secPerIter, 2).c_str(), |
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MetricReadable(itersPerSec, 2).c_str()); |
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} |
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} |
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separator('='); |
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} |
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|
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void RunBenchmarks() { |
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ASSERT_TRUE(!benchmarks.empty()); |
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vector<tuple<const char*, const char*, double>> results; |
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results.reserve(benchmarks.size() - 1); |
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// PLEASE KEEP QUIET. MEASUREMENTS IN PROGRESS.
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auto const globalBaseline = RunBenchmarkGetNSPerIteration( |
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get<2>(benchmarks.front()), 0); |
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for (size_t i = 1; i < benchmarks.size(); i++) { |
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double elapsed = 0.0; |
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if (strcmp(get<1>(benchmarks[i]), "-") != 0) { // skip separators
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elapsed = RunBenchmarkGetNSPerIteration(get<2>(benchmarks[i]), |
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globalBaseline); |
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} |
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results.emplace_back(get<0>(benchmarks[i]), |
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get<1>(benchmarks[i]), elapsed); |
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} |
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// PLEASE MAKE NOISE. MEASUREMENTS DONE.
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PrintBenchmarkResultsAsTable(results); |
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} |
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} // namespace benchmark
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} // namespace rocksdb
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@ -1,356 +0,0 @@ |
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// Copyright (c) 2013, Facebook, Inc. All rights reserved.
|
||||
// This source code is licensed under the BSD-style license found in the
|
||||
// LICENSE file in the root directory of this source tree. An additional grant
|
||||
// of patent rights can be found in the PATENTS file in the same directory.
|
||||
//
|
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// This code is derived from Benchmark.h implemented in Folly, the opensourced
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// Facebook C++ library available at https://github.com/facebook/folly
|
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// The code has removed any dependence on other folly and boost libraries
|
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|
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#pragma once |
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|
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#include <cassert> |
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#include <functional> |
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#include <limits> |
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|
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#include "util/testharness.h" |
||||
#include "rocksdb/env.h" |
||||
|
||||
namespace rocksdb { |
||||
namespace benchmark { |
||||
|
||||
/**
|
||||
* Runs all benchmarks defined. Usually put in main(). |
||||
*/ |
||||
void RunBenchmarks(); |
||||
|
||||
namespace detail { |
||||
|
||||
/**
|
||||
* Adds a benchmark wrapped in a std::function. Only used |
||||
* internally. Pass by value is intentional. |
||||
*/ |
||||
void AddBenchmarkImpl(const char* file, |
||||
const char* name, |
||||
std::function<uint64_t(unsigned int)>); |
||||
|
||||
} // namespace detail
|
||||
|
||||
|
||||
/**
|
||||
* Supporting type for BENCHMARK_SUSPEND defined below. |
||||
*/ |
||||
struct BenchmarkSuspender { |
||||
BenchmarkSuspender() { start_ = Env::Default()->NowNanos(); } |
||||
|
||||
BenchmarkSuspender(const BenchmarkSuspender&) = delete; |
||||
BenchmarkSuspender(BenchmarkSuspender && rhs) { |
||||
start_ = rhs.start_; |
||||
rhs.start_ = 0; |
||||
} |
||||
|
||||
BenchmarkSuspender& operator=(const BenchmarkSuspender &) = delete; |
||||
BenchmarkSuspender& operator=(BenchmarkSuspender && rhs) { |
||||
if (start_ > 0) { |
||||
tally(); |
||||
} |
||||
start_ = rhs.start_; |
||||
rhs.start_ = 0; |
||||
return *this; |
||||
} |
||||
|
||||
~BenchmarkSuspender() { |
||||
if (start_ > 0) { |
||||
tally(); |
||||
} |
||||
} |
||||
|
||||
void Dismiss() { |
||||
assert(start_ > 0); |
||||
tally(); |
||||
start_ = 0; |
||||
} |
||||
|
||||
void Rehire() { start_ = Env::Default()->NowNanos(); } |
||||
|
||||
/**
|
||||
* This helps the macro definition. To get around the dangers of |
||||
* operator bool, returns a pointer to member (which allows no |
||||
* arithmetic). |
||||
*/ |
||||
/* implicit */ |
||||
operator int BenchmarkSuspender::*() const { return nullptr; } |
||||
|
||||
/**
|
||||
* Accumulates nanoseconds spent outside benchmark. |
||||
*/ |
||||
typedef uint64_t NanosecondsSpent; |
||||
static NanosecondsSpent nsSpent; |
||||
|
||||
private: |
||||
void tally() { |
||||
uint64_t end = Env::Default()->NowNanos(); |
||||
nsSpent += start_ - end; |
||||
start_ = end; |
||||
} |
||||
|
||||
uint64_t start_; |
||||
}; |
||||
|
||||
/**
|
||||
* Adds a benchmark. Usually not called directly but instead through |
||||
* the macro BENCHMARK defined below. The lambda function involved |
||||
* must take exactly one parameter of type unsigned, and the benchmark |
||||
* uses it with counter semantics (iteration occurs inside the |
||||
* function). |
||||
*/ |
||||
template <typename Lambda> |
||||
void |
||||
AddBenchmark_n(const char* file, const char* name, Lambda&& lambda) { |
||||
auto execute = [=](unsigned int times) -> uint64_t { |
||||
BenchmarkSuspender::nsSpent = 0; |
||||
uint64_t start, end; |
||||
auto env = Env::Default(); |
||||
|
||||
// CORE MEASUREMENT STARTS
|
||||
start = env->NowNanos(); |
||||
lambda(times); |
||||
end = env->NowNanos(); |
||||
// CORE MEASUREMENT ENDS
|
||||
return (end - start) - BenchmarkSuspender::nsSpent; |
||||
}; |
||||
|
||||
detail::AddBenchmarkImpl(file, name, |
||||
std::function<uint64_t(unsigned int)>(execute)); |
||||
} |
||||
|
||||
/**
|
||||
* Adds a benchmark. Usually not called directly but instead through |
||||
* the macro BENCHMARK defined below. The lambda function involved |
||||
* must take zero parameters, and the benchmark calls it repeatedly |
||||
* (iteration occurs outside the function). |
||||
*/ |
||||
template <typename Lambda> |
||||
void |
||||
AddBenchmark(const char* file, const char* name, Lambda&& lambda) { |
||||
AddBenchmark_n(file, name, [=](unsigned int times) { |
||||
while (times-- > 0) { |
||||
lambda(); |
||||
} |
||||
}); |
||||
} |
||||
|
||||
} // namespace benchmark
|
||||
} // namespace rocksdb
|
||||
|
||||
/**
|
||||
* FB_ONE_OR_NONE(hello, world) expands to hello and |
||||
* FB_ONE_OR_NONE(hello) expands to nothing. This macro is used to |
||||
* insert or eliminate text based on the presence of another argument. |
||||
*/ |
||||
#define FB_ONE_OR_NONE(a, ...) FB_THIRD(a, ## __VA_ARGS__, a) |
||||
#define FB_THIRD(a, b, ...) __VA_ARGS__ |
||||
|
||||
#define FB_CONCATENATE_IMPL(s1, s2) s1##s2 |
||||
#define FB_CONCATENATE(s1, s2) FB_CONCATENATE_IMPL(s1, s2) |
||||
|
||||
#define FB_ANONYMOUS_VARIABLE(str) \ |
||||
FB_CONCATENATE(str, __LINE__ __attribute__((__unused__))) |
||||
|
||||
#define FB_STRINGIZE(x) #x |
||||
|
||||
/**
|
||||
* Introduces a benchmark function. Used internally, see BENCHMARK and |
||||
* friends below. |
||||
*/ |
||||
#define BENCHMARK_IMPL_N(funName, stringName, paramType, paramName) \ |
||||
static void funName(paramType); \
|
||||
static bool FB_ANONYMOUS_VARIABLE(rocksdbBenchmarkUnused) = ( \
|
||||
::rocksdb::benchmark::AddBenchmark_n(__FILE__, stringName, \
|
||||
[](paramType paramName) { funName(paramName); }), \
|
||||
true); \
|
||||
static void funName(paramType paramName) |
||||
|
||||
#define BENCHMARK_IMPL(funName, stringName) \ |
||||
static void funName(); \
|
||||
static bool FB_ANONYMOUS_VARIABLE(rocksdbBenchmarkUnused) = ( \
|
||||
::rocksdb::benchmark::AddBenchmark(__FILE__, stringName, \
|
||||
[]() { funName(); }), \
|
||||
true); \
|
||||
static void funName() |
||||
|
||||
/**
|
||||
* Introduces a benchmark function. Use with either one one or two |
||||
* arguments. The first is the name of the benchmark. Use something |
||||
* descriptive, such as insertVectorBegin. The second argument may be |
||||
* missing, or could be a symbolic counter. The counter dictates how |
||||
* many internal iteration the benchmark does. Example: |
||||
* |
||||
* BENCHMARK(vectorPushBack) { |
||||
* vector<int> v; |
||||
* v.push_back(42); |
||||
* } |
||||
* |
||||
* BENCHMARK_N(insertVectorBegin, n) { |
||||
* vector<int> v; |
||||
* FOR_EACH_RANGE (i, 0, n) { |
||||
* v.insert(v.begin(), 42); |
||||
* } |
||||
* } |
||||
*/ |
||||
#define BENCHMARK_N(name, ...) \ |
||||
BENCHMARK_IMPL_N( \
|
||||
name, \
|
||||
FB_STRINGIZE(name), \
|
||||
FB_ONE_OR_NONE(unsigned, ## __VA_ARGS__), \
|
||||
__VA_ARGS__) |
||||
|
||||
#define BENCHMARK(name) \ |
||||
BENCHMARK_IMPL( \
|
||||
name, \
|
||||
FB_STRINGIZE(name)) |
||||
|
||||
/**
|
||||
* Defines a benchmark that passes a parameter to another one. This is |
||||
* common for benchmarks that need a "problem size" in addition to |
||||
* "number of iterations". Consider: |
||||
* |
||||
* void pushBack(uint n, size_t initialSize) { |
||||
* vector<int> v; |
||||
* BENCHMARK_SUSPEND { |
||||
* v.resize(initialSize); |
||||
* } |
||||
* FOR_EACH_RANGE (i, 0, n) { |
||||
* v.push_back(i); |
||||
* } |
||||
* } |
||||
* BENCHMARK_PARAM(pushBack, 0) |
||||
* BENCHMARK_PARAM(pushBack, 1000) |
||||
* BENCHMARK_PARAM(pushBack, 1000000) |
||||
* |
||||
* The benchmark above estimates the speed of push_back at different |
||||
* initial sizes of the vector. The framework will pass 0, 1000, and |
||||
* 1000000 for initialSize, and the iteration count for n. |
||||
*/ |
||||
#define BENCHMARK_PARAM(name, param) \ |
||||
BENCHMARK_NAMED_PARAM(name, param, param) |
||||
|
||||
/*
|
||||
* Like BENCHMARK_PARAM(), but allows a custom name to be specified for each |
||||
* parameter, rather than using the parameter value. |
||||
* |
||||
* Useful when the parameter value is not a valid token for string pasting, |
||||
* of when you want to specify multiple parameter arguments. |
||||
* |
||||
* For example: |
||||
* |
||||
* void addValue(uint n, int64_t bucketSize, int64_t min, int64_t max) { |
||||
* Histogram<int64_t> hist(bucketSize, min, max); |
||||
* int64_t num = min; |
||||
* FOR_EACH_RANGE (i, 0, n) { |
||||
* hist.addValue(num); |
||||
* ++num; |
||||
* if (num > max) { num = min; } |
||||
* } |
||||
* } |
||||
* |
||||
* BENCHMARK_NAMED_PARAM(addValue, 0_to_100, 1, 0, 100) |
||||
* BENCHMARK_NAMED_PARAM(addValue, 0_to_1000, 10, 0, 1000) |
||||
* BENCHMARK_NAMED_PARAM(addValue, 5k_to_20k, 250, 5000, 20000) |
||||
*/ |
||||
#define BENCHMARK_NAMED_PARAM(name, param_name, ...) \ |
||||
BENCHMARK_IMPL( \
|
||||
FB_CONCATENATE(name, FB_CONCATENATE(_, param_name)), \
|
||||
FB_STRINGIZE(name) "(" FB_STRINGIZE(param_name) ")") { \
|
||||
name(__VA_ARGS__); \
|
||||
} |
||||
|
||||
#define BENCHMARK_NAMED_PARAM_N(name, param_name, ...) \ |
||||
BENCHMARK_IMPL_N( \
|
||||
FB_CONCATENATE(name, FB_CONCATENATE(_, param_name)), \
|
||||
FB_STRINGIZE(name) "(" FB_STRINGIZE(param_name) ")", \
|
||||
unsigned, \
|
||||
iters) { \
|
||||
name(iters, ## __VA_ARGS__); \
|
||||
} |
||||
|
||||
/**
|
||||
* Just like BENCHMARK, but prints the time relative to a |
||||
* baseline. The baseline is the most recent BENCHMARK() seen in |
||||
* lexical order. Example: |
||||
* |
||||
* // This is the baseline
|
||||
* BENCHMARK_N(insertVectorBegin, n) { |
||||
* vector<int> v; |
||||
* FOR_EACH_RANGE (i, 0, n) { |
||||
* v.insert(v.begin(), 42); |
||||
* } |
||||
* } |
||||
* |
||||
* BENCHMARK_RELATIVE_N(insertListBegin, n) { |
||||
* list<int> s; |
||||
* FOR_EACH_RANGE (i, 0, n) { |
||||
* s.insert(s.begin(), 42); |
||||
* } |
||||
* } |
||||
* |
||||
* Any number of relative benchmark can be associated with a |
||||
* baseline. Another BENCHMARK() occurrence effectively establishes a |
||||
* new baseline. |
||||
*/ |
||||
#define BENCHMARK_RELATIVE_N(name, ...) \ |
||||
BENCHMARK_IMPL_N( \
|
||||
name, \
|
||||
"%" FB_STRINGIZE(name), \
|
||||
FB_ONE_OR_NONE(unsigned, ## __VA_ARGS__), \
|
||||
__VA_ARGS__) |
||||
|
||||
#define BENCHMARK_RELATIVE(name) \ |
||||
BENCHMARK_IMPL( \
|
||||
name, \
|
||||
"%" FB_STRINGIZE(name)) |
||||
|
||||
/**
|
||||
* A combination of BENCHMARK_RELATIVE and BENCHMARK_PARAM. |
||||
*/ |
||||
#define BENCHMARK_RELATIVE_PARAM(name, param) \ |
||||
BENCHMARK_RELATIVE_NAMED_PARAM(name, param, param) |
||||
|
||||
/**
|
||||
* A combination of BENCHMARK_RELATIVE and BENCHMARK_NAMED_PARAM. |
||||
*/ |
||||
#define BENCHMARK_RELATIVE_NAMED_PARAM(name, param_name, ...) \ |
||||
BENCHMARK_IMPL_N( \
|
||||
FB_CONCATENATE(name, FB_CONCATENATE(_, param_name)), \
|
||||
"%" FB_STRINGIZE(name) "(" FB_STRINGIZE(param_name) ")", \
|
||||
unsigned, \
|
||||
iters) { \
|
||||
name(iters, ## __VA_ARGS__); \
|
||||
} |
||||
|
||||
/**
|
||||
* Draws a line of dashes. |
||||
*/ |
||||
#define BENCHMARK_DRAW_LINE() \ |
||||
static bool FB_ANONYMOUS_VARIABLE(rocksdbBenchmarkUnused) = ( \
|
||||
::rocksdb::benchmark::AddBenchmark(__FILE__, "-", []() { }), \
|
||||
true); |
||||
|
||||
/**
|
||||
* Allows execution of code that doesn't count torward the benchmark's |
||||
* time budget. Example: |
||||
* |
||||
* BENCHMARK_START_GROUP(insertVectorBegin, n) { |
||||
* vector<int> v; |
||||
* BENCHMARK_SUSPEND { |
||||
* v.reserve(n); |
||||
* } |
||||
* FOR_EACH_RANGE (i, 0, n) { |
||||
* v.insert(v.begin(), 42); |
||||
* } |
||||
* } |
||||
*/ |
||||
#define BENCHMARK_SUSPEND \ |
||||
if (auto FB_ANONYMOUS_VARIABLE(BENCHMARK_SUSPEND) = \
|
||||
::rocksdb::benchmark::BenchmarkSuspender()) {} \
|
||||
else |
@ -1,67 +0,0 @@ |
||||
// Copyright (c) 2013, Facebook, Inc. All rights reserved.
|
||||
// This source code is licensed under the BSD-style license found in the
|
||||
// LICENSE file in the root directory of this source tree. An additional grant
|
||||
// of patent rights can be found in the PATENTS file in the same directory.
|
||||
//
|
||||
|
||||
#include "util/benchharness.h" |
||||
#include <vector> |
||||
|
||||
namespace rocksdb { |
||||
|
||||
BENCHMARK(insertFrontVector) { |
||||
std::vector<size_t> v; |
||||
for (size_t i = 0; i < 100; i++) { |
||||
v.insert(v.begin(), i); |
||||
} |
||||
} |
||||
|
||||
BENCHMARK_RELATIVE(insertBackVector) { |
||||
std::vector<size_t> v; |
||||
for (size_t i = 0; i < 100; i++) { |
||||
v.insert(v.end(), i); |
||||
} |
||||
} |
||||
|
||||
BENCHMARK_N(insertFrontVector_n, n) { |
||||
std::vector<size_t> v; |
||||
for (size_t i = 0; i < n; i++) { |
||||
v.insert(v.begin(), i); |
||||
} |
||||
} |
||||
|
||||
BENCHMARK_RELATIVE_N(insertBackVector_n, n) { |
||||
std::vector<size_t> v; |
||||
for (size_t i = 0; i < n; i++) { |
||||
v.insert(v.end(), i); |
||||
} |
||||
} |
||||
|
||||
BENCHMARK_N(insertFrontEnd_n, n) { |
||||
std::vector<size_t> v; |
||||
for (size_t i = 0; i < n; i++) { |
||||
v.insert(v.begin(), i); |
||||
} |
||||
for (size_t i = 0; i < n; i++) { |
||||
v.insert(v.end(), i); |
||||
} |
||||
} |
||||
|
||||
BENCHMARK_RELATIVE_N(insertFrontEndSuspend_n, n) { |
||||
std::vector<size_t> v; |
||||
for (size_t i = 0; i < n; i++) { |
||||
v.insert(v.begin(), i); |
||||
} |
||||
BENCHMARK_SUSPEND { |
||||
for (size_t i = 0; i < n; i++) { |
||||
v.insert(v.end(), i); |
||||
} |
||||
} |
||||
} |
||||
|
||||
} // namespace rocksdb
|
||||
|
||||
int main(int argc, char** argv) { |
||||
rocksdb::benchmark::RunBenchmarks(); |
||||
return 0; |
||||
} |
Loading…
Reference in new issue