提交 abb40522 编写于 作者: I Igor Canadi

Kill benchharness

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/D36777
上级 894e9f74
......@@ -188,7 +188,6 @@ MOCKOBJECTS = $(MOCK_SOURCES:.cc=.o)
GTEST = $(GTEST_DIR)/gtest/gtest-all.o
TESTUTIL = ./util/testutil.o
TESTHARNESS = ./util/testharness.o $(TESTUTIL) $(MOCKOBJECTS) $(GTEST)
BENCHHARNESS = ./util/benchharness.o
VALGRIND_ERROR = 2
VALGRIND_DIR = build_tools/VALGRIND_LOGS
VALGRIND_VER := $(join $(VALGRIND_VER),valgrind)
......@@ -204,7 +203,6 @@ TESTS = \
table_properties_collector_test \
arena_test \
auto_roll_logger_test \
benchharness_test \
block_test \
bloom_test \
dynamic_bloom_test \
......@@ -277,7 +275,7 @@ TOOLS = \
ldb \
db_repl_stress
BENCHMARKS = db_bench table_reader_bench log_and_apply_bench cache_bench memtablerep_bench
BENCHMARKS = db_bench table_reader_bench cache_bench memtablerep_bench
# The library name is configurable since we are maintaining libraries of both
# debug/release mode.
......@@ -620,9 +618,6 @@ stringappend_test: utilities/merge_operators/string_append/stringappend_test.o $
redis_test: utilities/redis/redis_lists_test.o $(LIBOBJECTS) $(TESTHARNESS)
$(AM_LINK)
benchharness_test: util/benchharness_test.o $(LIBOBJECTS) $(TESTHARNESS) $(BENCHHARNESS)
$(AM_LINK)
histogram_test: util/histogram_test.o $(LIBOBJECTS) $(TESTHARNESS)
$(AM_LINK)
......@@ -657,9 +652,6 @@ comparator_db_test: db/comparator_db_test.o $(LIBOBJECTS) $(TESTHARNESS)
table_reader_bench: table/table_reader_bench.o $(LIBOBJECTS) $(TESTHARNESS)
$(AM_LINK) $(pg)
log_and_apply_bench: db/log_and_apply_bench.o $(LIBOBJECTS) $(TESTHARNESS) $(BENCHHARNESS)
$(AM_LINK) $(pg)
perf_context_test: db/perf_context_test.o $(LIBOBJECTS) $(TESTHARNESS)
$(AM_V_CCLD)$(CXX) $^ $(EXEC_LDFLAGS) -o $@ $(LDFLAGS)
......@@ -765,7 +757,7 @@ geodb_test: utilities/geodb/geodb_test.o $(LIBOBJECTS) $(TESTHARNESS)
cuckoo_table_builder_test: table/cuckoo_table_builder_test.o $(LIBOBJECTS) $(TESTHARNESS)
$(AM_LINK)
cuckoo_table_reader_test: table/cuckoo_table_reader_test.o $(LIBOBJECTS) $(TESTHARNESS) $(BENCHHARNESS)
cuckoo_table_reader_test: table/cuckoo_table_reader_test.o $(LIBOBJECTS) $(TESTHARNESS)
$(AM_LINK)
cuckoo_table_db_test: db/cuckoo_table_db_test.o $(LIBOBJECTS) $(TESTHARNESS)
......
// 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 <vector>
#ifndef __STDC_FORMAT_MACROS
#define __STDC_FORMAT_MACROS
#endif
#include <inttypes.h>
#include "util/testharness.h"
#include "util/benchharness.h"
#include "db/version_set.h"
#include "db/write_controller.h"
#include "db/writebuffer.h"
#include "util/mutexlock.h"
namespace rocksdb {
std::string MakeKey(uint64_t num) {
char buf[30];
snprintf(buf, sizeof(buf), "%016" PRIu64, num);
return std::string(buf);
}
void BM_LogAndApply(int iters, int num_base_files) {
VersionSet* vset;
WriteController wc;
ColumnFamilyData* default_cfd;
uint64_t fnum = 1;
InstrumentedMutex mu;
InstrumentedMutexLock l(&mu);
BENCHMARK_SUSPEND {
std::string dbname = test::TmpDir() + "/rocksdb_test_benchmark";
ASSERT_OK(DestroyDB(dbname, Options()));
DB* db = nullptr;
Options opts;
opts.create_if_missing = true;
Status s = DB::Open(opts, dbname, &db);
ASSERT_OK(s);
ASSERT_TRUE(db != nullptr);
delete db;
db = nullptr;
Options options;
EnvOptions sopt;
// Notice we are using the default options not through SanitizeOptions().
// We might want to initialize some options manually if needed.
options.db_paths.emplace_back(dbname, 0);
WriteBuffer wb(options.db_write_buffer_size);
// The parameter of table cache is passed in as null, so any file I/O
// operation is likely to fail.
vset = new VersionSet(dbname, &options, sopt, nullptr, &wb, &wc);
std::vector<ColumnFamilyDescriptor> dummy;
dummy.push_back(ColumnFamilyDescriptor());
ASSERT_OK(vset->Recover(dummy));
default_cfd = vset->GetColumnFamilySet()->GetDefault();
VersionEdit vbase;
for (int i = 0; i < num_base_files; i++) {
InternalKey start(MakeKey(2 * fnum), 1, kTypeValue);
InternalKey limit(MakeKey(2 * fnum + 1), 1, kTypeDeletion);
vbase.AddFile(2, ++fnum, 0, 1 /* file size */, start, limit, 1, 1);
}
ASSERT_OK(vset->LogAndApply(default_cfd,
*default_cfd->GetLatestMutableCFOptions(), &vbase, &mu));
}
for (int i = 0; i < iters; i++) {
VersionEdit vedit;
vedit.DeleteFile(2, fnum);
InternalKey start(MakeKey(2 * fnum), 1, kTypeValue);
InternalKey limit(MakeKey(2 * fnum + 1), 1, kTypeDeletion);
vedit.AddFile(2, ++fnum, 0, 1 /* file size */, start, limit, 1, 1);
vset->LogAndApply(default_cfd, *default_cfd->GetLatestMutableCFOptions(),
&vedit, &mu);
}
delete vset;
}
BENCHMARK_NAMED_PARAM(BM_LogAndApply, 1000_iters_1_file, 1000, 1)
BENCHMARK_NAMED_PARAM(BM_LogAndApply, 1000_iters_100_files, 1000, 100)
BENCHMARK_NAMED_PARAM(BM_LogAndApply, 1000_iters_10000_files, 1000, 10000)
BENCHMARK_NAMED_PARAM(BM_LogAndApply, 100_iters_100000_files, 100, 100000)
} // namespace rocksdb
int main(int argc, char** argv) {
rocksdb::benchmark::RunBenchmarks();
return 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.
//
// This code is derived from Benchmark.cpp implemented in Folly, the opensourced
// Facebook C++ library available at https://github.com/facebook/folly
// The code has removed any dependence on other folly and boost libraries
#include "util/benchharness.h"
#include <algorithm>
#include <cmath>
#include <cstring>
#include <limits>
#include <string>
#include <utility>
#include <vector>
#include "util/string_util.h"
#ifndef GFLAGS
bool FLAGS_benchmark = false;
uint64_t FLAGS_bm_min_usec = 100;
int64_t FLAGS_bm_min_iters = 1;
int32_t FLAGS_bm_max_secs = 1;
#else
#include <gflags/gflags.h>
DEFINE_bool(benchmark, false, "Run benchmarks.");
DEFINE_uint64(bm_min_usec, 100,
"Minimum # of microseconds we'll accept for each benchmark.");
DEFINE_int64(bm_min_iters, 1,
"Minimum # of iterations we'll try for each benchmark.");
DEFINE_int32(bm_max_secs, 1,
"Maximum # of seconds we'll spend on each benchmark.");
#endif // GFLAGS
using std::function;
using std::get;
using std::make_pair;
using std::max;
using std::min;
using std::pair;
using std::sort;
using std::string;
using std::tuple;
using std::vector;
namespace rocksdb {
namespace benchmark {
BenchmarkSuspender::NanosecondsSpent BenchmarkSuspender::nsSpent;
typedef function<uint64_t(unsigned int)> BenchmarkFun;
static vector<tuple<const char*, const char*, BenchmarkFun>> benchmarks;
// Add the global baseline
BENCHMARK(globalBenchmarkBaseline) {
asm volatile("");
}
void detail::AddBenchmarkImpl(const char* file, const char* name,
BenchmarkFun fun) {
benchmarks.emplace_back(file, name, std::move(fun));
}
/**
* Given a point, gives density at that point as a number 0.0 < x <=
* 1.0. The result is 1.0 if all samples are equal to where, and
* decreases near 0 if all points are far away from it. The density is
* computed with the help of a radial basis function.
*/
static double Density(const double * begin, const double *const end,
const double where, const double bandwidth) {
assert(begin < end);
assert(bandwidth > 0.0);
double sum = 0.0;
for (auto i = begin; i < end; i++) {
auto d = (*i - where) / bandwidth;
sum += exp(- d * d);
}
return sum / (end - begin);
}
/**
* Computes mean and variance for a bunch of data points. Note that
* mean is currently not being used.
*/
static pair<double, double>
MeanVariance(const double * begin, const double *const end) {
assert(begin < end);
double sum = 0.0, sum2 = 0.0;
for (auto i = begin; i < end; i++) {
sum += *i;
sum2 += *i * *i;
}
auto const n = end - begin;
return make_pair(sum / n, sqrt((sum2 - sum * sum / n) / n));
}
/**
* Computes the mode of a sample set through brute force. Assumes
* input is sorted.
*/
static double Mode(const double * begin, const double *const end) {
assert(begin < end);
// Lower bound and upper bound for result and their respective
// densities.
auto
result = 0.0,
bestDensity = 0.0;
// Get the variance so we pass it down to Density()
auto const sigma = MeanVariance(begin, end).second;
if (!sigma) {
// No variance means constant signal
return *begin;
}
for (auto i = begin; i < end; i++) {
assert(i == begin || *i >= i[-1]);
auto candidate = Density(begin, end, *i, sigma * sqrt(2.0));
if (candidate > bestDensity) {
// Found a new best
bestDensity = candidate;
result = *i;
} else {
// Density is decreasing... we could break here if we definitely
// knew this is unimodal.
}
}
return result;
}
/**
* Given a bunch of benchmark samples, estimate the actual run time.
*/
static double EstimateTime(double * begin, double * end) {
assert(begin < end);
// Current state of the art: get the minimum. After some
// experimentation, it seems taking the minimum is the best.
return *std::min_element(begin, end);
// What follows after estimates the time as the mode of the
// distribution.
// Select the awesomest (i.e. most frequent) result. We do this by
// sorting and then computing the longest run length.
sort(begin, end);
// Eliminate outliers. A time much larger than the minimum time is
// considered an outlier.
while (end[-1] > 2.0 * *begin) {
--end;
if (begin == end) {
// LOG(INFO) << *begin;
}
assert(begin < end);
}
double result = 0;
/* Code used just for comparison purposes */ {
unsigned bestFrequency = 0;
unsigned candidateFrequency = 1;
double candidateValue = *begin;
for (auto current = begin + 1; ; ++current) {
if (current == end || *current != candidateValue) {
// Done with the current run, see if it was best
if (candidateFrequency > bestFrequency) {
bestFrequency = candidateFrequency;
result = candidateValue;
}
if (current == end) {
break;
}
// Start a new run
candidateValue = *current;
candidateFrequency = 1;
} else {
// Cool, inside a run, increase the frequency
++candidateFrequency;
}
}
}
result = Mode(begin, end);
return result;
}
static double RunBenchmarkGetNSPerIteration(const BenchmarkFun& fun,
const double globalBaseline) {
// They key here is accuracy; too low numbers means the accuracy was
// coarse. We up the ante until we get to at least minNanoseconds
// timings.
static const auto minNanoseconds = FLAGS_bm_min_usec * 1000UL;
// We do measurements in several epochs and take the minimum, to
// account for jitter.
static const unsigned int epochs = 1000;
// We establish a total time budget as we don't want a measurement
// to take too long. This will curtail the number of actual epochs.
const uint64_t timeBudgetInNs = FLAGS_bm_max_secs * 1000000000;
auto env = Env::Default();
uint64_t global = env->NowNanos();
double epochResults[epochs] = { 0 };
size_t actualEpochs = 0;
for (; actualEpochs < epochs; ++actualEpochs) {
for (unsigned int n = static_cast<unsigned int>(FLAGS_bm_min_iters);
n < (1UL << 30); n *= 2) {
auto const nsecs = fun(n);
if (nsecs < minNanoseconds) {
continue;
}
// We got an accurate enough timing, done. But only save if
// smaller than the current result.
epochResults[actualEpochs] = max(0.0,
static_cast<double>(nsecs) / n - globalBaseline);
// Done with the current epoch, we got a meaningful timing.
break;
}
uint64_t now = env->NowNanos();
if ((now - global) >= timeBudgetInNs) {
// No more time budget available.
++actualEpochs;
break;
}
}
// If the benchmark was basically drowned in baseline noise, it's
// possible it became negative.
return max(0.0, EstimateTime(epochResults, epochResults + actualEpochs));
}
struct ScaleInfo {
double boundary;
const char* suffix;
};
static const ScaleInfo kTimeSuffixes[] {
{ 365.25 * 24 * 3600, "years" },
{ 24 * 3600, "days" },
{ 3600, "hr" },
{ 60, "min" },
{ 1, "s" },
{ 1E-3, "ms" },
{ 1E-6, "us" },
{ 1E-9, "ns" },
{ 1E-12, "ps" },
{ 1E-15, "fs" },
{ 0, nullptr },
};
static const ScaleInfo kMetricSuffixes[] {
{ 1E24, "Y" }, // yotta
{ 1E21, "Z" }, // zetta
{ 1E18, "X" }, // "exa" written with suffix 'X' so as to not create
// confusion with scientific notation
{ 1E15, "P" }, // peta
{ 1E12, "T" }, // terra
{ 1E9, "G" }, // giga
{ 1E6, "M" }, // mega
{ 1E3, "K" }, // kilo
{ 1, "" },
{ 1E-3, "m" }, // milli
{ 1E-6, "u" }, // micro
{ 1E-9, "n" }, // nano
{ 1E-12, "p" }, // pico
{ 1E-15, "f" }, // femto
{ 1E-18, "a" }, // atto
{ 1E-21, "z" }, // zepto
{ 1E-24, "y" }, // yocto
{ 0, nullptr },
};
static string HumanReadable(double n, unsigned int decimals,
const ScaleInfo* scales) {
if (std::isinf(n) || std::isnan(n)) {
return ToString(n);
}
const double absValue = fabs(n);
const ScaleInfo* scale = scales;
while (absValue < scale[0].boundary && scale[1].suffix != nullptr) {
++scale;
}
const double scaledValue = n / scale->boundary;
char a[80];
snprintf(a, sizeof(a), "%.*f%s", decimals, scaledValue, scale->suffix);
return a;
}
static string ReadableTime(double n, unsigned int decimals) {
return HumanReadable(n, decimals, kTimeSuffixes);
}
static string MetricReadable(double n, unsigned int decimals) {
return HumanReadable(n, decimals, kMetricSuffixes);
}
static void PrintBenchmarkResultsAsTable(
const vector<tuple<const char*, const char*, double> >& data) {
// Width available
static const uint columns = 76;
// Compute the longest benchmark name
size_t longestName = 0;
for (size_t i = 1; i < benchmarks.size(); i++) {
longestName = max(longestName, strlen(get<1>(benchmarks[i])));
}
// Print a horizontal rule
auto separator = [&](char pad) {
puts(string(columns, pad).c_str());
};
// Print header for a file
auto header = [&](const char* file) {
separator('=');
printf("%-*srelative time/iter iters/s\n",
columns - 28, file);
separator('=');
};
double baselineNsPerIter = std::numeric_limits<double>::max();
const char* lastFile = "";
for (auto& datum : data) {
auto file = get<0>(datum);
if (strcmp(file, lastFile)) {
// New file starting
header(file);
lastFile = file;
}
string s = get<1>(datum);
if (s == "-") {
separator('-');
continue;
}
bool useBaseline /* = void */;
if (s[0] == '%') {
s.erase(0, 1);
useBaseline = true;
} else {
baselineNsPerIter = get<2>(datum);
useBaseline = false;
}
s.resize(columns - 29, ' ');
auto nsPerIter = get<2>(datum);
auto secPerIter = nsPerIter / 1E9;
auto itersPerSec = 1 / secPerIter;
if (!useBaseline) {
// Print without baseline
printf("%*s %9s %7s\n",
static_cast<int>(s.size()), s.c_str(),
ReadableTime(secPerIter, 2).c_str(),
MetricReadable(itersPerSec, 2).c_str());
} else {
// Print with baseline
auto rel = baselineNsPerIter / nsPerIter * 100.0;
printf("%*s %7.2f%% %9s %7s\n",
static_cast<int>(s.size()), s.c_str(),
rel,
ReadableTime(secPerIter, 2).c_str(),
MetricReadable(itersPerSec, 2).c_str());
}
}
separator('=');
}
void RunBenchmarks() {
ASSERT_TRUE(!benchmarks.empty());
vector<tuple<const char*, const char*, double>> results;
results.reserve(benchmarks.size() - 1);
// PLEASE KEEP QUIET. MEASUREMENTS IN PROGRESS.
auto const globalBaseline = RunBenchmarkGetNSPerIteration(
get<2>(benchmarks.front()), 0);
for (size_t i = 1; i < benchmarks.size(); i++) {
double elapsed = 0.0;
if (strcmp(get<1>(benchmarks[i]), "-") != 0) { // skip separators
elapsed = RunBenchmarkGetNSPerIteration(get<2>(benchmarks[i]),
globalBaseline);
}
results.emplace_back(get<0>(benchmarks[i]),
get<1>(benchmarks[i]), elapsed);
}
// PLEASE MAKE NOISE. MEASUREMENTS DONE.
PrintBenchmarkResultsAsTable(results);
}
} // namespace benchmark
} // namespace rocksdb
// 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.
//
// This code is derived from Benchmark.h implemented in Folly, the opensourced
// Facebook C++ library available at https://github.com/facebook/folly
// The code has removed any dependence on other folly and boost libraries
#pragma once
#include <cassert>
#include <functional>
#include <limits>
#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
// 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;
}
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