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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/vespalib/testkit/testapp.h>
#include <vespa/searchlib/fef/matchdatalayout.h>
#include <vespa/searchlib/fef/phrasesplitter.h>
#include <vespa/searchlib/fef/phrase_splitter_query_env.h>
#include <vespa/searchlib/fef/test/queryenvironment.h>
#include <iomanip>
#include <iostream>
#include <vespa/log/log.h>
LOG_SETUP("phrasesplitter_test");
namespace search::fef {
class Benchmark : public vespalib::TestApp
{
private:
vespalib::Timer _timer;
vespalib::duration _sample;
void start() { _timer = vespalib::Timer(); }
void sample() { _sample = _timer.elapsed(); }
void run(size_t numRuns, size_t numPositions);
public:
Benchmark() : _timer(), _sample(0) {}
~Benchmark() override;
int Main() override;
};
Benchmark::~Benchmark() = default;
void
Benchmark::run(size_t numRuns, size_t numPositions)
{
test::QueryEnvironment qe;
std::vector<SimpleTermData> &terms = qe.getTerms();
MatchDataLayout mdl;
terms.push_back(SimpleTermData());
terms.back().setUniqueId(1);
terms.back().setPhraseLength(3); // phrase with 3 terms
terms.back().addField(0).setHandle(mdl.allocTermField(0));
MatchData::UP md = mdl.createMatchData();
TermFieldMatchData *tmd = md->resolveTermField(terms[0].lookupField(0)->getHandle());
for (size_t i = 0; i < numPositions; ++i) {
tmd->appendPosition(TermFieldMatchDataPosition(0, i, 0, numPositions));
}
PhraseSplitterQueryEnv ps_query_env(qe, 0);
PhraseSplitter ps(ps_query_env);
std::cout << "Start benchmark with numRuns(" << numRuns << ") and numPositions(" << numPositions << ")" << std::endl;
start();
ps.bind_match_data(*md);
for (size_t i = 0; i < numRuns; ++i) {
ps.update();
}
sample();
}
int
Benchmark::Main()
{
TEST_INIT("benchmark");
if (_argc != 3) {
std::cout << "Must specify <numRuns> and <numPositions>" << std::endl;
return 0;
}
size_t numRuns = strtoull(_argv[1], nullptr, 10);
size_t numPositions = strtoull(_argv[2], nullptr, 10);
run(numRuns, numPositions);
std::cout << "TET: " << vespalib::count_ms(_sample) << " (ms)" << std::endl;
std::cout << "ETPD: " << std::fixed << std::setprecision(10) << (vespalib::count_ns(_sample) / (numRuns * 1000000.0)) << " (ms)" << std::endl;
TEST_DONE();
}
}
TEST_APPHOOK(search::fef::Benchmark);
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