foundationdb/fdbserver/workloads/StreamingRead.actor.cpp

154 lines
5.7 KiB
C++

/*
* StreamingRead.actor.cpp
*
* This source file is part of the FoundationDB open source project
*
* Copyright 2013-2018 Apple Inc. and the FoundationDB project authors
*
* 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 "fdbrpc/ContinuousSample.h"
#include "fdbclient/NativeAPI.actor.h"
#include "fdbserver/TesterInterface.actor.h"
#include "fdbserver/workloads/workloads.actor.h"
#include "fdbserver/workloads/BulkSetup.actor.h"
#include "flow/actorcompiler.h" // This must be the last #include.
struct StreamingReadWorkload : TestWorkload {
int actorCount, keyBytes, valueBytes, readsPerTransaction, nodeCount;
int rangesPerTransaction;
bool readSequentially;
double testDuration, warmingDelay;
Value constantValue;
std::vector<Future<Void>> clients;
PerfIntCounter transactions, readKeys;
PerfIntCounter readValueBytes;
ContinuousSample<double> latencies;
StreamingReadWorkload(WorkloadContext const& wcx)
: TestWorkload(wcx), transactions("Transactions"), readKeys("Keys Read"), readValueBytes("Value Bytes Read"),
latencies(2000) {
testDuration = getOption(options, LiteralStringRef("testDuration"), 10.0);
actorCount = getOption(options, LiteralStringRef("actorCount"), 20);
readsPerTransaction = getOption(options, LiteralStringRef("readsPerTransaction"), 10);
rangesPerTransaction = getOption(options, LiteralStringRef("rangesPerTransaction"), 1);
nodeCount = getOption(options, LiteralStringRef("nodeCount"), 100000);
keyBytes = std::max(getOption(options, LiteralStringRef("keyBytes"), 16), 16);
valueBytes = std::max(getOption(options, LiteralStringRef("valueBytes"), 96), 16);
std::string valueFormat = "%016llx" + std::string(valueBytes - 16, '.');
warmingDelay = getOption(options, LiteralStringRef("warmingDelay"), 0.0);
constantValue = Value(format(valueFormat.c_str(), 42));
readSequentially = getOption(options, LiteralStringRef("readSequentially"), false);
}
std::string description() const override { return "StreamingRead"; }
Future<Void> setup(Database const& cx) override {
return bulkSetup(cx, this, nodeCount, Promise<double>(), true, warmingDelay);
}
Future<Void> start(Database const& cx) override {
for (int c = clientId; c < actorCount; c += clientCount)
clients.push_back(timeout(streamingReadClient(cx, this, clientId, c), testDuration, Void()));
return waitForAll(clients);
}
Future<bool> check(Database const& cx) override {
clients.clear();
return true;
}
void getMetrics(std::vector<PerfMetric>& m) override {
m.push_back(transactions.getMetric());
m.push_back(readKeys.getMetric());
m.emplace_back("Bytes read/sec",
(readKeys.getValue() * keyBytes + readValueBytes.getValue()) / testDuration,
Averaged::False);
m.emplace_back("Mean Latency (ms)", 1000 * latencies.mean(), Averaged::True);
m.emplace_back("Median Latency (ms, averaged)", 1000 * latencies.median(), Averaged::True);
m.emplace_back("90% Latency (ms, averaged)", 1000 * latencies.percentile(0.90), Averaged::True);
m.emplace_back("98% Latency (ms, averaged)", 1000 * latencies.percentile(0.98), Averaged::True);
}
Key keyForIndex(uint64_t index) {
Key result = makeString(keyBytes);
uint8_t* data = mutateString(result);
memset(data, '.', keyBytes);
double d = double(index) / nodeCount;
emplaceIndex(data, 0, *(int64_t*)&d);
return result;
}
Standalone<KeyValueRef> operator()(int n) { return KeyValueRef(keyForIndex(n), constantValue); }
ACTOR Future<Void> streamingReadClient(Database cx, StreamingReadWorkload* self, int clientId, int actorId) {
state int minIndex = actorId * self->nodeCount / self->actorCount;
state int maxIndex = std::min((actorId + 1) * self->nodeCount / self->actorCount, self->nodeCount);
state int currentIndex = minIndex;
loop {
state double tstart = now();
state Transaction tr(cx);
state int rangeSize = (double)self->readsPerTransaction / self->rangesPerTransaction + 0.5;
state int range = 0;
loop {
state int thisRangeSize =
(range < self->rangesPerTransaction - 1)
? rangeSize
: self->readsPerTransaction - (self->rangesPerTransaction - 1) * rangeSize;
if (self->readSequentially && thisRangeSize > maxIndex - minIndex)
thisRangeSize = maxIndex - minIndex;
loop {
try {
if (!self->readSequentially)
currentIndex = deterministicRandom()->randomInt(0, self->nodeCount - thisRangeSize);
else if (currentIndex > maxIndex - thisRangeSize)
currentIndex = minIndex;
RangeResult values =
wait(tr.getRange(firstGreaterOrEqual(self->keyForIndex(currentIndex)),
firstGreaterOrEqual(self->keyForIndex(currentIndex + thisRangeSize)),
thisRangeSize));
for (int i = 0; i < values.size(); i++)
self->readValueBytes += values[i].value.size();
if (self->readSequentially)
currentIndex += values.size();
self->readKeys += values.size();
break;
} catch (Error& e) {
wait(tr.onError(e));
}
}
if (now() - tstart > 3)
break;
if (++range == self->rangesPerTransaction)
break;
}
self->latencies.addSample(now() - tstart);
++self->transactions;
}
}
};
WorkloadFactory<StreamingReadWorkload> StreamingReadWorkloadFactory("StreamingRead");