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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/searchlib/docstore/logdatastore.h>
#include <vespa/searchlib/index/dummyfileheadercontext.h>
#include <vespa/searchlib/transactionlog/nosyncproxy.h>
#include <vespa/vespalib/data/databuffer.h>
#include <vespa/vespalib/util/lambdatask.h>
#include <vespa/vespalib/util/size_literals.h>
#include <vespa/vespalib/util/threadstackexecutor.h>
#include <vespa/vespalib/util/signalhandler.h>
#include <unistd.h>
#include <random>
#include <vespa/log/log.h>
LOG_SETUP("documentstore.benchmark");
using namespace search;
class BenchmarkDataStoreApp
{
void usage(const char *self);
int benchmark(const vespalib::string & directory, size_t numReads, size_t numThreads, size_t perChunk, const vespalib::string & readType);
void read(size_t numReads, size_t perChunk, const IDataStore * dataStore);
public:
int main(int argc, char **argv);
};
void
BenchmarkDataStoreApp::usage(const char *self)
{
printf("Usage: %s <direcory> <numreads> <numthreads> <objects per read> <normal,directio,mmap>\n", self);
fflush(stdout);
}
int
BenchmarkDataStoreApp::main(int argc, char **argv)
{
if (argc >= 2) {
size_t numThreads(16);
size_t numReads(1000000);
size_t perChunk(1);
vespalib::string readType("directio");
vespalib::string directory(argv[1]);
if (argc >= 3) {
numReads = strtoul(argv[2], NULL, 0);
if (argc >= 4) {
numThreads = strtoul(argv[3], NULL, 0);
if (argc >= 5) {
perChunk = strtoul(argv[4], NULL, 0);
if (argc >= 5) {
readType = argv[5];
}
}
}
}
return benchmark(directory, numReads, numThreads, perChunk, readType);
} else {
fprintf(stderr, "Too few arguments\n");
usage(argv[0]);
return 1;
}
return 0;
}
void BenchmarkDataStoreApp::read(size_t numReads, size_t perChunk, const IDataStore * dataStore)
{
vespalib::DataBuffer buf;
std::minstd_rand rng;
const size_t docIdLimit(dataStore->getDocIdLimit());
assert(docIdLimit > 0);
rng.seed(getpid());
int32_t rnd(0);
for ( size_t i(0); i < numReads; i++) {
rnd = rng();
uint32_t lid(rnd%docIdLimit);
for (uint32_t j(lid); j < std::min(docIdLimit, lid+perChunk); j++) {
dataStore->read(j, buf);
buf.clear();
}
}
}
int
BenchmarkDataStoreApp::benchmark(const vespalib::string & dir, size_t numReads, size_t numThreads, size_t perChunk, const vespalib::string & readType)
{
int retval(0);
LogDataStore::Config config;
GrowStrategy growStrategy;
TuneFileSummary tuning;
if (readType == "directio") {
tuning._randRead.setWantDirectIO();
} else if (readType == "normal") {
tuning._randRead.setWantNormal();
} else if (readType == "mmap") {
tuning._randRead.setWantMemoryMap();
}
search::index::DummyFileHeaderContext fileHeaderContext;
vespalib::ThreadStackExecutor executor(1);
transactionlog::NoSyncProxy noTlSyncer;
LogDataStore store(executor, dir, config, growStrategy, tuning,
fileHeaderContext,
noTlSyncer, NULL, true);
vespalib::ThreadStackExecutor bmPool(numThreads);
LOG(info, "Start read benchmark with %lu threads doing %lu reads in chunks of %lu reads. Totally %lu objects", numThreads, numReads, perChunk, numThreads * numReads * perChunk);
for (size_t i(0); i < numThreads; i++) {
bmPool.execute(vespalib::makeLambdaTask([&]() { read(numReads, perChunk, static_cast<const IDataStore *>(&store)); }));
}
bmPool.sync();
LOG(info, "Benchmark done.");
return retval;
}
int main(int argc, char **argv) {
vespalib::SignalHandler::PIPE.ignore();
BenchmarkDataStoreApp app;
return app.main(argc, argv);
}
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