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/**
* Copyright (C) 2022-present MongoDB, Inc.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the Server Side Public License, version 1,
* as published by MongoDB, Inc.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* Server Side Public License for more details.
*
* You should have received a copy of the Server Side Public License
* along with this program. If not, see
* <http://www.mongodb.com/licensing/server-side-public-license>.
*
* As a special exception, the copyright holders give permission to link the
* code of portions of this program with the OpenSSL library under certain
* conditions as described in each individual source file and distribute
* linked combinations including the program with the OpenSSL library. You
* must comply with the Server Side Public License in all respects for
* all of the code used other than as permitted herein. If you modify file(s)
* with this exception, you may extend this exception to your version of the
* file(s), but you are not obligated to do so. If you do not wish to do so,
* delete this exception statement from your version. If you delete this
* exception statement from all source files in the program, then also delete
* it in the license file.
*/
#include "mongo/db/query/ce/benchmark_utils.h"
namespace mongo::optimizer::ce {
BSONObj BenchmarkResults::toBSON() const {
BSONObjBuilder bob;
bob.append("benchmarkName", _descriptor.benchmarkName)
.appendNumber("iterations", static_cast<long long>(_descriptor.numIterations))
.appendNumber("buckets", static_cast<long long>(_descriptor.numBuckets));
BSONArrayBuilder valueTypesBab(bob.subarrayStart("fields"));
for (auto&& [fieldName, valueType] : _descriptor.valueTypes) {
auto fieldPathParameters = _runtimeParameters.getFieldPathParameters(fieldName);
valueTypesBab.append(
BSON(fieldName << BSON("valueType" << toStringData(valueType) << "histogramSize"
<< fieldPathParameters.histogramSize)));
}
valueTypesBab.doneFast();
BSONArrayBuilder indexesBab(bob.subarrayStart("indexes"));
for (auto&& [indexName, indexDef] : _descriptor.indexes) {
indexesBab.append(BSON(indexName << BSON("isMultiKey" << indexDef.isMultiKey())));
}
indexesBab.doneFast();
bob.appendNumber("predicates", static_cast<long long>(_descriptor.numPredicates))
.append("timeUnits", "microseconds");
BSONObjBuilder resultsBob(bob.subobjStart("results"));
for (auto&& [estimationType, timeMetrics] : _results) {
BSONObjBuilder estimationTypeBob(resultsBob.subobjStart(estimationType));
for (auto&& [metricName, times] : timeMetrics) {
BSONObjBuilder metricBob(estimationTypeBob.subobjStart(metricName));
auto [total, min, max, avg, calls] = aggregateTimeMetrics(times);
metricBob.append("totalTime", total)
.appendNumber("minTime", min)
.appendNumber("maxTime", max)
.appendNumber("avgTime", avg)
.appendNumber("calls", calls);
metricBob.doneFast();
}
estimationTypeBob.doneFast();
}
resultsBob.doneFast();
return bob.obj();
}
std::string BenchmarkResults::toString() const {
const std::string valueTypes = std::accumulate(
_descriptor.valueTypes.begin(),
_descriptor.valueTypes.end(),
std::string{},
[](std::string str, const std::pair<std::string, BucketValueType>& type) {
return std::move(str) + "_" + type.first + "_" + toStringData(type.second);
});
const std::string prefix = str::stream()
<< _descriptor.benchmarkName << "_iterations_" << _descriptor.numIterations << "_buckets_"
<< _descriptor.numBuckets << "_types" << valueTypes << "_predicates_"
<< _descriptor.numPredicates;
std::ostringstream ss;
for (auto&& [estimationType, timeMetrics] : _results) {
for (auto&& [metricName, times] : timeMetrics) {
auto [total, min, max, avg, calls] = aggregateTimeMetrics(times);
ss << prefix << "_" << estimationType << "_" << metricName << ": totalTime=" << total
<< "µs, minTime=" << min << "µs, maxTime=" << max << "µs, avgTime=" << avg
<< "µs, calls=" << calls << std::endl;
}
}
return ss.str();
}
std::tuple<BenchmarkResults::DurationType,
BenchmarkResults::DurationType,
BenchmarkResults::DurationType,
BenchmarkResults::DurationType,
long long>
BenchmarkResults::aggregateTimeMetrics(std::vector<Nanoseconds> times) const {
auto total =
durationCount<Microseconds>(std::accumulate(times.begin(), times.end(), Nanoseconds(0)));
auto min = durationCount<Microseconds>(*std::min_element(times.begin(), times.end()));
auto max = durationCount<Microseconds>(*std::max_element(times.begin(), times.end()));
auto avg = times.empty() ? 0.0 : static_cast<double>(total) / times.size();
return {total, min, max, avg, times.size()};
}
void Benchmark::runBenchmark(const std::string& pipeline, size_t numIterations) {
Metadata metadata = {{{getCollName(), createScanDef({}, {})}}};
PrefixId prefixId = PrefixId::createForTests();
ABT abt =
translatePipeline(metadata, pipeline, prefixId.getNextId("scan"), getCollName(), prefixId);
for (size_t iter = 0; iter < numIterations; ++iter) {
ABT copy = abt;
ASSERT_GTE(getCE(copy), 0);
}
}
CEType CardinalityEstimatorWrapper::deriveCE(const Metadata& metadata,
const cascades::Memo& memo,
const properties::LogicalProps& logicalProps,
ABT::reference_type logicalNodeRef) const {
Nanoseconds elapsed(0);
CEType ce = [&]() {
auto timer = _benchmark->getTimer(&elapsed);
return _estimator->deriveCE(metadata, memo, logicalProps, logicalNodeRef);
}();
// Accumulate total 'deriveCE' time per query.
_elapsedTimePerQuery += elapsed;
// Collect 'deriveCE' per ABT node. We currently do not distinguish between different
// instances of the same ABT type.
_benchmark->collectElapsedTime("deriveCE_" + abtNodeName(logicalNodeRef), elapsed);
return ce;
}
void FullOptimizerBenchmark::optimize(OptPhaseManager& phaseManager, ABT& abt) const {
Nanoseconds elapsed(0);
{
auto timer = getTimer(&elapsed);
Benchmark::optimize(phaseManager, abt);
}
collectElapsedTime("optimize", elapsed);
}
} // namespace mongo::optimizer::ce
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