862 lines
35 KiB
C++
862 lines
35 KiB
C++
/*
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* ReadWrite.actor.cpp
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*
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* This source file is part of the FoundationDB open source project
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*
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* Copyright 2013-2018 Apple Inc. and the FoundationDB project authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <boost/lexical_cast.hpp>
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#include <utility>
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#include <vector>
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#include "fdbrpc/ContinuousSample.h"
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#include "fdbclient/NativeAPI.actor.h"
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#include "fdbserver/TesterInterface.actor.h"
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#include "fdbserver/WorkerInterface.actor.h"
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#include "fdbserver/workloads/workloads.actor.h"
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#include "fdbserver/workloads/BulkSetup.actor.h"
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#include "fdbclient/ReadYourWrites.h"
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#include "flow/TDMetric.actor.h"
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#include "flow/actorcompiler.h" // This must be the last #include.
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const int sampleSize = 10000;
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static Future<Version> nextRV;
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static Version lastRV = invalidVersion;
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ACTOR static Future<Version> getNextRV(Database db) {
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state Transaction tr(db);
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loop {
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try {
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Version v = wait(tr.getReadVersion());
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return v;
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} catch (Error& e) {
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wait(tr.onError(e));
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}
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}
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}
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static Future<Version> getInconsistentReadVersion(Database const& db) {
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if (!nextRV.isValid() || nextRV.isReady()) { // if no getNextRV() running
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if (nextRV.isValid())
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lastRV = nextRV.get();
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nextRV = getNextRV(db);
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}
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if (lastRV == invalidVersion)
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return nextRV;
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else
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return lastRV;
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}
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DESCR struct TransactionSuccessMetric {
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int64_t totalLatency; // ns
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int64_t startLatency; // ns
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int64_t commitLatency; // ns
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int64_t retries; // count
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};
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DESCR struct TransactionFailureMetric {
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int64_t startLatency; // ns
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int64_t errorCode; // flow error code
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};
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DESCR struct ReadMetric {
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int64_t readLatency; // ns
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};
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struct ReadWriteWorkload : KVWorkload {
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int readsPerTransactionA, writesPerTransactionA;
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int readsPerTransactionB, writesPerTransactionB;
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int extraReadConflictRangesPerTransaction, extraWriteConflictRangesPerTransaction;
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double testDuration, transactionsPerSecond, alpha, warmingDelay, loadTime, maxInsertRate, debugInterval, debugTime;
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double metricsStart, metricsDuration, clientBegin;
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std::string valueString;
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bool dependentReads;
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bool enableReadLatencyLogging;
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double periodicLoggingInterval;
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bool cancelWorkersAtDuration;
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bool inconsistentReads;
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bool adjacentReads;
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bool adjacentWrites;
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bool rampUpLoad;
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int rampSweepCount;
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double hotKeyFraction, forceHotProbability;
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bool rangeReads;
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bool useRYW;
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bool rampTransactionType;
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bool rampUpConcurrency;
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bool batchPriority;
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Standalone<StringRef> descriptionString;
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Int64MetricHandle totalReadsMetric;
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Int64MetricHandle totalRetriesMetric;
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EventMetricHandle<TransactionSuccessMetric> transactionSuccessMetric;
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EventMetricHandle<TransactionFailureMetric> transactionFailureMetric;
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EventMetricHandle<ReadMetric> readMetric;
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std::vector<Future<Void>> clients;
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PerfIntCounter aTransactions, bTransactions, retries;
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ContinuousSample<double> latencies, readLatencies, commitLatencies, GRVLatencies, fullReadLatencies;
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double readLatencyTotal;
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int readLatencyCount;
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std::vector<uint64_t> insertionCountsToMeasure;
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std::vector<std::pair<uint64_t, double>> ratesAtKeyCounts;
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std::vector<PerfMetric> periodicMetrics;
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bool doSetup;
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ReadWriteWorkload(WorkloadContext const& wcx)
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: KVWorkload(wcx), loadTime(0.0), clientBegin(0), dependentReads(false), adjacentReads(false),
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adjacentWrites(false), totalReadsMetric(LiteralStringRef("RWWorkload.TotalReads")),
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totalRetriesMetric(LiteralStringRef("RWWorkload.TotalRetries")), aTransactions("A Transactions"),
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bTransactions("B Transactions"), retries("Retries"), latencies(sampleSize), readLatencies(sampleSize),
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commitLatencies(sampleSize), GRVLatencies(sampleSize), fullReadLatencies(sampleSize), readLatencyTotal(0),
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readLatencyCount(0) {
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transactionSuccessMetric.init(LiteralStringRef("RWWorkload.SuccessfulTransaction"));
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transactionFailureMetric.init(LiteralStringRef("RWWorkload.FailedTransaction"));
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readMetric.init(LiteralStringRef("RWWorkload.Read"));
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testDuration = getOption(options, LiteralStringRef("testDuration"), 10.0);
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transactionsPerSecond = getOption(options, LiteralStringRef("transactionsPerSecond"), 5000.0) / clientCount;
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double allowedLatency = getOption(options, LiteralStringRef("allowedLatency"), 0.250);
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actorCount = ceil(transactionsPerSecond * allowedLatency);
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actorCount = getOption(options, LiteralStringRef("actorCountPerTester"), actorCount);
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readsPerTransactionA = getOption(options, LiteralStringRef("readsPerTransactionA"), 10);
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writesPerTransactionA = getOption(options, LiteralStringRef("writesPerTransactionA"), 0);
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readsPerTransactionB = getOption(options, LiteralStringRef("readsPerTransactionB"), 1);
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writesPerTransactionB = getOption(options, LiteralStringRef("writesPerTransactionB"), 9);
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alpha = getOption(options, LiteralStringRef("alpha"), 0.1);
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extraReadConflictRangesPerTransaction =
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getOption(options, LiteralStringRef("extraReadConflictRangesPerTransaction"), 0);
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extraWriteConflictRangesPerTransaction =
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getOption(options, LiteralStringRef("extraWriteConflictRangesPerTransaction"), 0);
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valueString = std::string(maxValueBytes, '.');
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if (nodePrefix > 0) {
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keyBytes += 16;
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}
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metricsStart = getOption(options, LiteralStringRef("metricsStart"), 0.0);
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metricsDuration = getOption(options, LiteralStringRef("metricsDuration"), testDuration);
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if (getOption(options, LiteralStringRef("discardEdgeMeasurements"), true)) {
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// discardEdgeMeasurements keeps the metrics from the middle 3/4 of the test
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metricsStart += testDuration * 0.125;
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metricsDuration *= 0.75;
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}
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dependentReads = getOption(options, LiteralStringRef("dependentReads"), false);
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warmingDelay = getOption(options, LiteralStringRef("warmingDelay"), 0.0);
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maxInsertRate = getOption(options, LiteralStringRef("maxInsertRate"), 1e12);
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debugInterval = getOption(options, LiteralStringRef("debugInterval"), 0.0);
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debugTime = getOption(options, LiteralStringRef("debugTime"), 0.0);
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enableReadLatencyLogging = getOption(options, LiteralStringRef("enableReadLatencyLogging"), false);
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periodicLoggingInterval = getOption(options, LiteralStringRef("periodicLoggingInterval"), 5.0);
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cancelWorkersAtDuration = getOption(options, LiteralStringRef("cancelWorkersAtDuration"), true);
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inconsistentReads = getOption(options, LiteralStringRef("inconsistentReads"), false);
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adjacentReads = getOption(options, LiteralStringRef("adjacentReads"), false);
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adjacentWrites = getOption(options, LiteralStringRef("adjacentWrites"), false);
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rampUpLoad = getOption(options, LiteralStringRef("rampUpLoad"), false);
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useRYW = getOption(options, LiteralStringRef("useRYW"), false);
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rampSweepCount = getOption(options, LiteralStringRef("rampSweepCount"), 1);
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rangeReads = getOption(options, LiteralStringRef("rangeReads"), false);
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rampTransactionType = getOption(options, LiteralStringRef("rampTransactionType"), false);
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rampUpConcurrency = getOption(options, LiteralStringRef("rampUpConcurrency"), false);
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doSetup = getOption(options, LiteralStringRef("setup"), true);
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batchPriority = getOption(options, LiteralStringRef("batchPriority"), false);
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descriptionString = getOption(options, LiteralStringRef("description"), LiteralStringRef("ReadWrite"));
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if (rampUpConcurrency)
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ASSERT(rampSweepCount == 2); // Implementation is hard coded to ramp up and down
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// Validate that keyForIndex() is monotonic
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for (int i = 0; i < 30; i++) {
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int64_t a = deterministicRandom()->randomInt64(0, nodeCount);
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int64_t b = deterministicRandom()->randomInt64(0, nodeCount);
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if (a > b) {
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std::swap(a, b);
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}
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ASSERT(a <= b);
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ASSERT((keyForIndex(a, false) <= keyForIndex(b, false)));
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}
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std::vector<std::string> insertionCountsToMeasureString =
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getOption(options, LiteralStringRef("insertionCountsToMeasure"), std::vector<std::string>());
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for (int i = 0; i < insertionCountsToMeasureString.size(); i++) {
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try {
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uint64_t count = boost::lexical_cast<uint64_t>(insertionCountsToMeasureString[i]);
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insertionCountsToMeasure.push_back(count);
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} catch (...) {
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}
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}
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{
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// with P(hotTrafficFraction) an access is directed to one of a fraction
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// of hot keys, else it is directed to a disjoint set of cold keys
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hotKeyFraction = getOption(options, LiteralStringRef("hotKeyFraction"), 0.0);
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double hotTrafficFraction = getOption(options, LiteralStringRef("hotTrafficFraction"), 0.0);
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ASSERT(hotKeyFraction >= 0 && hotTrafficFraction <= 1);
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ASSERT(hotKeyFraction <= hotTrafficFraction); // hot keys should be actually hot!
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// p(Cold key) = (1-FHP) * (1-hkf)
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// p(Cold key) = (1-htf)
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// solving for FHP gives:
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forceHotProbability = (hotTrafficFraction - hotKeyFraction) / (1 - hotKeyFraction);
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}
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}
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std::string description() const override { return descriptionString.toString(); }
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Future<Void> setup(Database const& cx) override { return _setup(cx, this); }
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Future<Void> start(Database const& cx) override { return _start(cx, this); }
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ACTOR static Future<bool> traceDumpWorkers(Reference<AsyncVar<ServerDBInfo> const> db) {
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try {
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loop {
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choose {
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when(wait(db->onChange())) {}
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when(ErrorOr<std::vector<WorkerDetails>> workerList =
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wait(db->get().clusterInterface.getWorkers.tryGetReply(GetWorkersRequest()))) {
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if (workerList.present()) {
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std::vector<Future<ErrorOr<Void>>> dumpRequests;
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dumpRequests.reserve(workerList.get().size());
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for (int i = 0; i < workerList.get().size(); i++)
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dumpRequests.push_back(workerList.get()[i].interf.traceBatchDumpRequest.tryGetReply(
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TraceBatchDumpRequest()));
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wait(waitForAll(dumpRequests));
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return true;
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}
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wait(delay(1.0));
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}
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}
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}
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} catch (Error& e) {
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TraceEvent(SevError, "FailedToDumpWorkers").error(e);
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throw;
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}
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}
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Future<bool> check(Database const& cx) override {
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clients.clear();
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if (!cancelWorkersAtDuration && now() < metricsStart + metricsDuration)
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metricsDuration = now() - metricsStart;
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g_traceBatch.dump();
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if (clientId == 0)
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return traceDumpWorkers(dbInfo);
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else
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return true;
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}
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void getMetrics(std::vector<PerfMetric>& m) override {
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double duration = metricsDuration;
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int reads =
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(aTransactions.getValue() * readsPerTransactionA) + (bTransactions.getValue() * readsPerTransactionB);
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int writes =
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(aTransactions.getValue() * writesPerTransactionA) + (bTransactions.getValue() * writesPerTransactionB);
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m.emplace_back("Measured Duration", duration, Averaged::True);
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m.emplace_back(
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"Transactions/sec", (aTransactions.getValue() + bTransactions.getValue()) / duration, Averaged::False);
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m.emplace_back("Operations/sec", ((reads + writes) / duration), Averaged::False);
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m.push_back(aTransactions.getMetric());
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m.push_back(bTransactions.getMetric());
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m.push_back(retries.getMetric());
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m.emplace_back("Mean load time (seconds)", loadTime, Averaged::True);
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m.emplace_back("Read rows", reads, Averaged::False);
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m.emplace_back("Write rows", writes, Averaged::False);
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if (!rampUpLoad) {
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m.emplace_back("Mean Latency (ms)", 1000 * latencies.mean(), Averaged::True);
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m.emplace_back("Median Latency (ms, averaged)", 1000 * latencies.median(), Averaged::True);
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m.emplace_back("90% Latency (ms, averaged)", 1000 * latencies.percentile(0.90), Averaged::True);
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m.emplace_back("98% Latency (ms, averaged)", 1000 * latencies.percentile(0.98), Averaged::True);
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m.emplace_back("Max Latency (ms, averaged)", 1000 * latencies.max(), Averaged::True);
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m.emplace_back("Mean Row Read Latency (ms)", 1000 * readLatencies.mean(), Averaged::True);
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m.emplace_back("Median Row Read Latency (ms, averaged)", 1000 * readLatencies.median(), Averaged::True);
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m.emplace_back("Max Row Read Latency (ms, averaged)", 1000 * readLatencies.max(), Averaged::True);
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m.emplace_back("Mean Total Read Latency (ms)", 1000 * fullReadLatencies.mean(), Averaged::True);
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m.emplace_back(
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"Median Total Read Latency (ms, averaged)", 1000 * fullReadLatencies.median(), Averaged::True);
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m.emplace_back("Max Total Latency (ms, averaged)", 1000 * fullReadLatencies.max(), Averaged::True);
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m.emplace_back("Mean GRV Latency (ms)", 1000 * GRVLatencies.mean(), Averaged::True);
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m.emplace_back("Median GRV Latency (ms, averaged)", 1000 * GRVLatencies.median(), Averaged::True);
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m.emplace_back("Max GRV Latency (ms, averaged)", 1000 * GRVLatencies.max(), Averaged::True);
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m.emplace_back("Mean Commit Latency (ms)", 1000 * commitLatencies.mean(), Averaged::True);
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m.emplace_back("Median Commit Latency (ms, averaged)", 1000 * commitLatencies.median(), Averaged::True);
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m.emplace_back("Max Commit Latency (ms, averaged)", 1000 * commitLatencies.max(), Averaged::True);
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}
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m.emplace_back("Read rows/sec", reads / duration, Averaged::False);
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m.emplace_back("Write rows/sec", writes / duration, Averaged::False);
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m.emplace_back(
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"Bytes read/sec", (reads * (keyBytes + (minValueBytes + maxValueBytes) * 0.5)) / duration, Averaged::False);
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m.emplace_back("Bytes written/sec",
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(writes * (keyBytes + (minValueBytes + maxValueBytes) * 0.5)) / duration,
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Averaged::False);
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m.insert(m.end(), periodicMetrics.begin(), periodicMetrics.end());
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std::vector<std::pair<uint64_t, double>>::iterator ratesItr = ratesAtKeyCounts.begin();
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for (; ratesItr != ratesAtKeyCounts.end(); ratesItr++)
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m.emplace_back(format("%ld keys imported bytes/sec", ratesItr->first), ratesItr->second, Averaged::False);
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}
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Value randomValue() {
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return StringRef((uint8_t*)valueString.c_str(),
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deterministicRandom()->randomInt(minValueBytes, maxValueBytes + 1));
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}
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Standalone<KeyValueRef> operator()(uint64_t n) { return KeyValueRef(keyForIndex(n, false), randomValue()); }
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template <class Trans>
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void setupTransaction(Trans* tr) {
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if (batchPriority) {
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tr->setOption(FDBTransactionOptions::PRIORITY_BATCH);
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}
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}
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ACTOR static Future<Void> tracePeriodically(ReadWriteWorkload* self) {
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state double start = now();
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state double elapsed = 0.0;
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state int64_t last_ops = 0;
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loop {
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elapsed += self->periodicLoggingInterval;
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wait(delayUntil(start + elapsed));
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TraceEvent((self->description() + "_RowReadLatency").c_str())
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.detail("Mean", self->readLatencies.mean())
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.detail("Median", self->readLatencies.median())
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.detail("Percentile5", self->readLatencies.percentile(.05))
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.detail("Percentile95", self->readLatencies.percentile(.95))
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.detail("Percentile99", self->readLatencies.percentile(.99))
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.detail("Percentile99_9", self->readLatencies.percentile(.999))
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.detail("Max", self->readLatencies.max())
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.detail("Count", self->readLatencyCount)
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.detail("Elapsed", elapsed);
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TraceEvent((self->description() + "_GRVLatency").c_str())
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.detail("Mean", self->GRVLatencies.mean())
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.detail("Median", self->GRVLatencies.median())
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.detail("Percentile5", self->GRVLatencies.percentile(.05))
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.detail("Percentile95", self->GRVLatencies.percentile(.95))
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.detail("Percentile99", self->GRVLatencies.percentile(.99))
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.detail("Percentile99_9", self->GRVLatencies.percentile(.999))
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.detail("Max", self->GRVLatencies.max());
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TraceEvent((self->description() + "_CommitLatency").c_str())
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.detail("Mean", self->commitLatencies.mean())
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.detail("Median", self->commitLatencies.median())
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.detail("Percentile5", self->commitLatencies.percentile(.05))
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.detail("Percentile95", self->commitLatencies.percentile(.95))
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.detail("Percentile99", self->commitLatencies.percentile(.99))
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.detail("Percentile99_9", self->commitLatencies.percentile(.999))
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.detail("Max", self->commitLatencies.max());
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TraceEvent((self->description() + "_TotalLatency").c_str())
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.detail("Mean", self->latencies.mean())
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.detail("Median", self->latencies.median())
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.detail("Percentile5", self->latencies.percentile(.05))
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.detail("Percentile95", self->latencies.percentile(.95))
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.detail("Percentile99", self->latencies.percentile(.99))
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.detail("Percentile99_9", self->latencies.percentile(.999))
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.detail("Max", self->latencies.max());
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int64_t ops =
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(self->aTransactions.getValue() * (self->readsPerTransactionA + self->writesPerTransactionA)) +
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(self->bTransactions.getValue() * (self->readsPerTransactionB + self->writesPerTransactionB));
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bool recordBegin = self->shouldRecord(std::max(now() - self->periodicLoggingInterval, self->clientBegin));
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bool recordEnd = self->shouldRecord(now());
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if (recordBegin && recordEnd) {
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std::string ts = format("T=%04.0fs:", elapsed);
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self->periodicMetrics.emplace_back(
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ts + "Operations/sec", (ops - last_ops) / self->periodicLoggingInterval, Averaged::False);
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// if(self->rampUpLoad) {
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self->periodicMetrics.emplace_back(
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ts + "Mean Latency (ms)", 1000 * self->latencies.mean(), Averaged::True);
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self->periodicMetrics.emplace_back(
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ts + "Median Latency (ms, averaged)", 1000 * self->latencies.median(), Averaged::True);
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self->periodicMetrics.emplace_back(
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ts + "5% Latency (ms, averaged)", 1000 * self->latencies.percentile(.05), Averaged::True);
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self->periodicMetrics.emplace_back(
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ts + "95% Latency (ms, averaged)", 1000 * self->latencies.percentile(.95), Averaged::True);
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self->periodicMetrics.emplace_back(
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ts + "Mean Row Read Latency (ms)", 1000 * self->readLatencies.mean(), Averaged::True);
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self->periodicMetrics.emplace_back(
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ts + "Median Row Read Latency (ms, averaged)", 1000 * self->readLatencies.median(), Averaged::True);
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self->periodicMetrics.emplace_back(ts + "5% Row Read Latency (ms, averaged)",
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1000 * self->readLatencies.percentile(.05),
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Averaged::True);
|
|
self->periodicMetrics.emplace_back(ts + "95% Row Read Latency (ms, averaged)",
|
|
1000 * self->readLatencies.percentile(.95),
|
|
Averaged::True);
|
|
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Mean Total Read Latency (ms)", 1000 * self->fullReadLatencies.mean(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(ts + "Median Total Read Latency (ms, averaged)",
|
|
1000 * self->fullReadLatencies.median(),
|
|
Averaged::True);
|
|
self->periodicMetrics.emplace_back(ts + "5% Total Read Latency (ms, averaged)",
|
|
1000 * self->fullReadLatencies.percentile(.05),
|
|
Averaged::True);
|
|
self->periodicMetrics.emplace_back(ts + "95% Total Read Latency (ms, averaged)",
|
|
1000 * self->fullReadLatencies.percentile(.95),
|
|
Averaged::True);
|
|
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Mean GRV Latency (ms)", 1000 * self->GRVLatencies.mean(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Median GRV Latency (ms, averaged)", 1000 * self->GRVLatencies.median(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "5% GRV Latency (ms, averaged)", 1000 * self->GRVLatencies.percentile(.05), Averaged::True);
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "95% GRV Latency (ms, averaged)", 1000 * self->GRVLatencies.percentile(.95), Averaged::True);
|
|
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Mean Commit Latency (ms)", 1000 * self->commitLatencies.mean(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Median Commit Latency (ms, averaged)", 1000 * self->commitLatencies.median(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(ts + "5% Commit Latency (ms, averaged)",
|
|
1000 * self->commitLatencies.percentile(.05),
|
|
Averaged::True);
|
|
self->periodicMetrics.emplace_back(ts + "95% Commit Latency (ms, averaged)",
|
|
1000 * self->commitLatencies.percentile(.95),
|
|
Averaged::True);
|
|
//}
|
|
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Max Latency (ms, averaged)", 1000 * self->latencies.max(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Max Row Read Latency (ms, averaged)", 1000 * self->readLatencies.max(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Max Total Read Latency (ms, averaged)", 1000 * self->fullReadLatencies.max(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Max GRV Latency (ms, averaged)", 1000 * self->GRVLatencies.max(), Averaged::True);
|
|
self->periodicMetrics.emplace_back(
|
|
ts + "Max Commit Latency (ms, averaged)", 1000 * self->commitLatencies.max(), Averaged::True);
|
|
}
|
|
last_ops = ops;
|
|
|
|
// if(self->rampUpLoad) {
|
|
self->latencies.clear();
|
|
self->readLatencies.clear();
|
|
self->fullReadLatencies.clear();
|
|
self->GRVLatencies.clear();
|
|
self->commitLatencies.clear();
|
|
//}
|
|
|
|
self->readLatencyTotal = 0.0;
|
|
self->readLatencyCount = 0;
|
|
}
|
|
}
|
|
|
|
ACTOR static Future<Void> logLatency(Future<Optional<Value>> f,
|
|
ContinuousSample<double>* latencies,
|
|
double* totalLatency,
|
|
int* latencyCount,
|
|
EventMetricHandle<ReadMetric> readMetric,
|
|
bool shouldRecord) {
|
|
state double readBegin = now();
|
|
Optional<Value> value = wait(f);
|
|
|
|
double latency = now() - readBegin;
|
|
readMetric->readLatency = latency * 1e9;
|
|
readMetric->log();
|
|
|
|
if (shouldRecord) {
|
|
*totalLatency += latency;
|
|
++*latencyCount;
|
|
latencies->addSample(latency);
|
|
}
|
|
return Void();
|
|
}
|
|
|
|
ACTOR static Future<Void> logLatency(Future<RangeResult> f,
|
|
ContinuousSample<double>* latencies,
|
|
double* totalLatency,
|
|
int* latencyCount,
|
|
EventMetricHandle<ReadMetric> readMetric,
|
|
bool shouldRecord) {
|
|
state double readBegin = now();
|
|
RangeResult value = wait(f);
|
|
|
|
double latency = now() - readBegin;
|
|
readMetric->readLatency = latency * 1e9;
|
|
readMetric->log();
|
|
|
|
if (shouldRecord) {
|
|
*totalLatency += latency;
|
|
++*latencyCount;
|
|
latencies->addSample(latency);
|
|
}
|
|
return Void();
|
|
}
|
|
|
|
ACTOR template <class Trans>
|
|
Future<Void> readOp(Trans* tr, std::vector<int64_t> keys, ReadWriteWorkload* self, bool shouldRecord) {
|
|
if (!keys.size())
|
|
return Void();
|
|
if (!self->dependentReads) {
|
|
std::vector<Future<Void>> readers;
|
|
if (self->rangeReads) {
|
|
for (int op = 0; op < keys.size(); op++) {
|
|
++self->totalReadsMetric;
|
|
readers.push_back(logLatency(
|
|
tr->getRange(KeyRangeRef(self->keyForIndex(keys[op]), Key(strinc(self->keyForIndex(keys[op])))),
|
|
GetRangeLimits(-1, 80000)),
|
|
&self->readLatencies,
|
|
&self->readLatencyTotal,
|
|
&self->readLatencyCount,
|
|
self->readMetric,
|
|
shouldRecord));
|
|
}
|
|
} else {
|
|
for (int op = 0; op < keys.size(); op++) {
|
|
++self->totalReadsMetric;
|
|
readers.push_back(logLatency(tr->get(self->keyForIndex(keys[op])),
|
|
&self->readLatencies,
|
|
&self->readLatencyTotal,
|
|
&self->readLatencyCount,
|
|
self->readMetric,
|
|
shouldRecord));
|
|
}
|
|
}
|
|
wait(waitForAll(readers));
|
|
} else {
|
|
state int op;
|
|
for (op = 0; op < keys.size(); op++) {
|
|
++self->totalReadsMetric;
|
|
wait(logLatency(tr->get(self->keyForIndex(keys[op])),
|
|
&self->readLatencies,
|
|
&self->readLatencyTotal,
|
|
&self->readLatencyCount,
|
|
self->readMetric,
|
|
shouldRecord));
|
|
}
|
|
}
|
|
return Void();
|
|
}
|
|
|
|
ACTOR Future<Void> _setup(Database cx, ReadWriteWorkload* self) {
|
|
if (!self->doSetup)
|
|
return Void();
|
|
|
|
state Promise<double> loadTime;
|
|
state Promise<std::vector<std::pair<uint64_t, double>>> ratesAtKeyCounts;
|
|
|
|
wait(bulkSetup(cx,
|
|
self,
|
|
self->nodeCount,
|
|
loadTime,
|
|
self->insertionCountsToMeasure.empty(),
|
|
self->warmingDelay,
|
|
self->maxInsertRate,
|
|
self->insertionCountsToMeasure,
|
|
ratesAtKeyCounts));
|
|
|
|
self->loadTime = loadTime.getFuture().get();
|
|
self->ratesAtKeyCounts = ratesAtKeyCounts.getFuture().get();
|
|
|
|
return Void();
|
|
}
|
|
|
|
ACTOR Future<Void> _start(Database cx, ReadWriteWorkload* self) {
|
|
// Read one record from the database to warm the cache of keyServers
|
|
state std::vector<int64_t> keys;
|
|
keys.push_back(deterministicRandom()->randomInt64(0, self->nodeCount));
|
|
state double startTime = now();
|
|
loop {
|
|
state Transaction tr(cx);
|
|
|
|
try {
|
|
self->setupTransaction(&tr);
|
|
wait(self->readOp(&tr, keys, self, false));
|
|
wait(tr.warmRange(cx, allKeys));
|
|
break;
|
|
} catch (Error& e) {
|
|
wait(tr.onError(e));
|
|
}
|
|
}
|
|
|
|
wait(delay(std::max(0.1, 1.0 - (now() - startTime))));
|
|
|
|
std::vector<Future<Void>> clients;
|
|
if (self->enableReadLatencyLogging)
|
|
clients.push_back(tracePeriodically(self));
|
|
|
|
self->clientBegin = now();
|
|
for (int c = 0; c < self->actorCount; c++) {
|
|
Future<Void> worker;
|
|
if (self->useRYW)
|
|
worker = self->randomReadWriteClient<ReadYourWritesTransaction>(
|
|
cx, self, self->actorCount / self->transactionsPerSecond, c);
|
|
else
|
|
worker = self->randomReadWriteClient<Transaction>(
|
|
cx, self, self->actorCount / self->transactionsPerSecond, c);
|
|
clients.push_back(worker);
|
|
}
|
|
|
|
if (!self->cancelWorkersAtDuration)
|
|
self->clients = clients; // Don't cancel them until check()
|
|
|
|
wait(self->cancelWorkersAtDuration ? timeout(waitForAll(clients), self->testDuration, Void())
|
|
: delay(self->testDuration));
|
|
return Void();
|
|
}
|
|
|
|
bool shouldRecord() { return shouldRecord(now()); }
|
|
|
|
bool shouldRecord(double checkTime) {
|
|
double timeSinceStart = checkTime - clientBegin;
|
|
return timeSinceStart >= metricsStart && timeSinceStart < (metricsStart + metricsDuration);
|
|
}
|
|
|
|
int64_t getRandomKey(uint64_t nodeCount) {
|
|
if (forceHotProbability && deterministicRandom()->random01() < forceHotProbability)
|
|
return deterministicRandom()->randomInt64(0, nodeCount * hotKeyFraction) /
|
|
hotKeyFraction; // spread hot keys over keyspace
|
|
else
|
|
return deterministicRandom()->randomInt64(0, nodeCount);
|
|
}
|
|
|
|
double sweepAlpha(double startTime) {
|
|
double sweepDuration = testDuration / rampSweepCount;
|
|
double numSweeps = (now() - startTime) / sweepDuration;
|
|
int currentSweep = (int)numSweeps;
|
|
double alpha = numSweeps - currentSweep;
|
|
if (currentSweep % 2)
|
|
alpha = 1 - alpha;
|
|
return alpha;
|
|
}
|
|
|
|
ACTOR template <class Trans>
|
|
Future<Void> randomReadWriteClient(Database cx, ReadWriteWorkload* self, double delay, int clientIndex) {
|
|
state double startTime = now();
|
|
state double lastTime = now();
|
|
state double GRVStartTime;
|
|
state UID debugID;
|
|
|
|
if (self->rampUpConcurrency) {
|
|
wait(::delay(self->testDuration / 2 *
|
|
(double(clientIndex) / self->actorCount +
|
|
double(self->clientId) / self->clientCount / self->actorCount)));
|
|
TraceEvent("ClientStarting")
|
|
.detail("ActorIndex", clientIndex)
|
|
.detail("ClientIndex", self->clientId)
|
|
.detail("NumActors", clientIndex * self->clientCount + self->clientId + 1);
|
|
}
|
|
|
|
loop {
|
|
wait(poisson(&lastTime, delay));
|
|
|
|
if (self->rampUpConcurrency) {
|
|
if (now() - startTime >= self->testDuration / 2 *
|
|
(2 - (double(clientIndex) / self->actorCount +
|
|
double(self->clientId) / self->clientCount / self->actorCount))) {
|
|
TraceEvent("ClientStopping")
|
|
.detail("ActorIndex", clientIndex)
|
|
.detail("ClientIndex", self->clientId)
|
|
.detail("NumActors", clientIndex * self->clientCount + self->clientId);
|
|
wait(Never());
|
|
}
|
|
}
|
|
|
|
if (!self->rampUpLoad || deterministicRandom()->random01() < self->sweepAlpha(startTime)) {
|
|
state double tstart = now();
|
|
state bool aTransaction = deterministicRandom()->random01() >
|
|
(self->rampTransactionType ? self->sweepAlpha(startTime) : self->alpha);
|
|
|
|
state std::vector<int64_t> keys;
|
|
state std::vector<Value> values;
|
|
state std::vector<KeyRange> extra_ranges;
|
|
int reads = aTransaction ? self->readsPerTransactionA : self->readsPerTransactionB;
|
|
state int writes = aTransaction ? self->writesPerTransactionA : self->writesPerTransactionB;
|
|
state int extra_read_conflict_ranges = writes ? self->extraReadConflictRangesPerTransaction : 0;
|
|
state int extra_write_conflict_ranges = writes ? self->extraWriteConflictRangesPerTransaction : 0;
|
|
if (!self->adjacentReads) {
|
|
for (int op = 0; op < reads; op++)
|
|
keys.push_back(self->getRandomKey(self->nodeCount));
|
|
} else {
|
|
int startKey = self->getRandomKey(self->nodeCount - reads);
|
|
for (int op = 0; op < reads; op++)
|
|
keys.push_back(startKey + op);
|
|
}
|
|
|
|
values.reserve(writes);
|
|
for (int op = 0; op < writes; op++)
|
|
values.push_back(self->randomValue());
|
|
|
|
extra_ranges.reserve(extra_read_conflict_ranges + extra_write_conflict_ranges);
|
|
for (int op = 0; op < extra_read_conflict_ranges + extra_write_conflict_ranges; op++)
|
|
extra_ranges.push_back(singleKeyRange(deterministicRandom()->randomUniqueID().toString()));
|
|
|
|
state Trans tr(cx);
|
|
|
|
if (tstart - self->clientBegin > self->debugTime &&
|
|
tstart - self->clientBegin <= self->debugTime + self->debugInterval) {
|
|
debugID = deterministicRandom()->randomUniqueID();
|
|
tr.debugTransaction(debugID);
|
|
g_traceBatch.addEvent(
|
|
"TransactionDebug", debugID.first(), "ReadWrite.randomReadWriteClient.Before");
|
|
} else {
|
|
debugID = UID();
|
|
}
|
|
|
|
self->transactionSuccessMetric->retries = 0;
|
|
self->transactionSuccessMetric->commitLatency = -1;
|
|
|
|
loop {
|
|
try {
|
|
self->setupTransaction(&tr);
|
|
|
|
GRVStartTime = now();
|
|
self->transactionFailureMetric->startLatency = -1;
|
|
|
|
Version v =
|
|
wait(self->inconsistentReads ? getInconsistentReadVersion(cx) : tr.getReadVersion());
|
|
if (self->inconsistentReads)
|
|
tr.setVersion(v);
|
|
|
|
double grvLatency = now() - GRVStartTime;
|
|
self->transactionSuccessMetric->startLatency = grvLatency * 1e9;
|
|
self->transactionFailureMetric->startLatency = grvLatency * 1e9;
|
|
if (self->shouldRecord())
|
|
self->GRVLatencies.addSample(grvLatency);
|
|
|
|
state double readStart = now();
|
|
wait(self->readOp(&tr, keys, self, self->shouldRecord()));
|
|
|
|
double readLatency = now() - readStart;
|
|
if (self->shouldRecord())
|
|
self->fullReadLatencies.addSample(readLatency);
|
|
|
|
if (!writes)
|
|
break;
|
|
|
|
if (self->adjacentWrites) {
|
|
int64_t startKey = self->getRandomKey(self->nodeCount - writes);
|
|
for (int op = 0; op < writes; op++)
|
|
tr.set(self->keyForIndex(startKey + op, false), values[op]);
|
|
} else {
|
|
for (int op = 0; op < writes; op++)
|
|
tr.set(self->keyForIndex(self->getRandomKey(self->nodeCount), false), values[op]);
|
|
}
|
|
for (int op = 0; op < extra_read_conflict_ranges; op++)
|
|
tr.addReadConflictRange(extra_ranges[op]);
|
|
for (int op = 0; op < extra_write_conflict_ranges; op++)
|
|
tr.addWriteConflictRange(extra_ranges[op + extra_read_conflict_ranges]);
|
|
|
|
state double commitStart = now();
|
|
wait(tr.commit());
|
|
|
|
double commitLatency = now() - commitStart;
|
|
self->transactionSuccessMetric->commitLatency = commitLatency * 1e9;
|
|
if (self->shouldRecord())
|
|
self->commitLatencies.addSample(commitLatency);
|
|
|
|
break;
|
|
} catch (Error& e) {
|
|
self->transactionFailureMetric->errorCode = e.code();
|
|
self->transactionFailureMetric->log();
|
|
|
|
wait(tr.onError(e));
|
|
|
|
++self->transactionSuccessMetric->retries;
|
|
++self->totalRetriesMetric;
|
|
|
|
if (self->shouldRecord())
|
|
++self->retries;
|
|
}
|
|
}
|
|
|
|
if (debugID != UID())
|
|
g_traceBatch.addEvent("TransactionDebug", debugID.first(), "ReadWrite.randomReadWriteClient.After");
|
|
|
|
tr = Trans();
|
|
|
|
double transactionLatency = now() - tstart;
|
|
self->transactionSuccessMetric->totalLatency = transactionLatency * 1e9;
|
|
self->transactionSuccessMetric->log();
|
|
|
|
if (self->shouldRecord()) {
|
|
if (aTransaction)
|
|
++self->aTransactions;
|
|
else
|
|
++self->bTransactions;
|
|
|
|
self->latencies.addSample(transactionLatency);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
ACTOR Future<std::vector<std::pair<uint64_t, double>>> trackInsertionCount(Database cx,
|
|
std::vector<uint64_t> countsOfInterest,
|
|
double checkInterval) {
|
|
state KeyRange keyPrefix = KeyRangeRef(std::string("keycount"), std::string("keycount") + char(255));
|
|
state KeyRange bytesPrefix = KeyRangeRef(std::string("bytesstored"), std::string("bytesstored") + char(255));
|
|
state Transaction tr(cx);
|
|
state uint64_t lastInsertionCount = 0;
|
|
state int currentCountIndex = 0;
|
|
|
|
state std::vector<std::pair<uint64_t, double>> countInsertionRates;
|
|
|
|
state double startTime = now();
|
|
|
|
while (currentCountIndex < countsOfInterest.size()) {
|
|
try {
|
|
state Future<RangeResult> countFuture = tr.getRange(keyPrefix, 1000000000);
|
|
state Future<RangeResult> bytesFuture = tr.getRange(bytesPrefix, 1000000000);
|
|
wait(success(countFuture) && success(bytesFuture));
|
|
|
|
RangeResult counts = countFuture.get();
|
|
RangeResult bytes = bytesFuture.get();
|
|
|
|
uint64_t numInserted = 0;
|
|
for (int i = 0; i < counts.size(); i++)
|
|
numInserted += *(uint64_t*)counts[i].value.begin();
|
|
|
|
uint64_t bytesInserted = 0;
|
|
for (int i = 0; i < bytes.size(); i++)
|
|
bytesInserted += *(uint64_t*)bytes[i].value.begin();
|
|
|
|
while (currentCountIndex < countsOfInterest.size() &&
|
|
countsOfInterest[currentCountIndex] > lastInsertionCount &&
|
|
countsOfInterest[currentCountIndex] <= numInserted)
|
|
countInsertionRates.emplace_back(countsOfInterest[currentCountIndex++],
|
|
bytesInserted / (now() - startTime));
|
|
|
|
lastInsertionCount = numInserted;
|
|
wait(delay(checkInterval));
|
|
} catch (Error& e) {
|
|
wait(tr.onError(e));
|
|
}
|
|
}
|
|
|
|
return countInsertionRates;
|
|
}
|
|
|
|
WorkloadFactory<ReadWriteWorkload> ReadWriteWorkloadFactory("ReadWrite");
|