foundationdb/flowbench/BenchCallback.actor.cpp

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/*
* BenchCallback.actor.cpp
*
* This source file is part of the FoundationDB open source project
*
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* Copyright 2013-2022 Apple Inc. and the FoundationDB project authors
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*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "benchmark/benchmark.h"
#include <vector>
#include "fdbclient/FDBTypes.h"
#include "flow/flow.h"
#include "flow/ThreadHelper.actor.h"
#include "flow/actorcompiler.h" // This must be the last #include.
ACTOR template <size_t Size>
static Future<Void> increment(Future<Void> f, uint32_t* sum) {
state std::array<uint8_t, Size> arr;
wait(f);
benchmark::DoNotOptimize(arr);
++(*sum);
return Void();
}
ACTOR template <size_t Size>
static Future<Void> benchCallbackActor(benchmark::State* benchState) {
state size_t actorCount = benchState->range(0);
state uint32_t sum;
while (benchState->KeepRunning()) {
sum = 0;
Promise<Void> trigger;
std::vector<Future<Void>> futures;
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futures.reserve(actorCount);
for (int i = 0; i < actorCount; ++i) {
futures.push_back(increment<Size>(trigger.getFuture(), &sum));
}
trigger.send(Void());
wait(waitForAll(futures));
benchmark::DoNotOptimize(sum);
}
benchState->SetItemsProcessed(actorCount * static_cast<long>(benchState->iterations()));
benchState->SetBytesProcessed(actorCount * Size * static_cast<long>(benchState->iterations()));
return Void();
}
template <size_t Size>
static void bench_callback(benchmark::State& benchState) {
onMainThread([&benchState]() { return benchCallbackActor<Size>(&benchState); }).blockUntilReady();
}
BENCHMARK_TEMPLATE(bench_callback, 1)->Range(1, 1 << 8)->ReportAggregatesOnly(true);
BENCHMARK_TEMPLATE(bench_callback, 32)->Range(1, 1 << 8)->ReportAggregatesOnly(true);
BENCHMARK_TEMPLATE(bench_callback, 1024)->Range(1, 1 << 8)->ReportAggregatesOnly(true);