MemStatementListBenchmark.java
/*******************************************************************************
* Copyright (c) 2023 Eclipse RDF4J contributors.
*
* All rights reserved. This program and the accompanying materials
* are made available under the terms of the Eclipse Distribution License v1.0
* which accompanies this distribution, and is available at
* http://www.eclipse.org/org/documents/edl-v10.php.
*
* SPDX-License-Identifier: BSD-3-Clause
******************************************************************************/
package org.eclipse.rdf4j.sail.memory.benchmark;
import java.io.BufferedInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.function.BiConsumer;
import java.util.stream.Collectors;
import org.eclipse.rdf4j.common.transaction.IsolationLevels;
import org.eclipse.rdf4j.model.IRI;
import org.eclipse.rdf4j.model.Model;
import org.eclipse.rdf4j.model.Statement;
import org.eclipse.rdf4j.model.ValueFactory;
import org.eclipse.rdf4j.model.impl.SimpleValueFactory;
import org.eclipse.rdf4j.model.vocabulary.FOAF;
import org.eclipse.rdf4j.model.vocabulary.RDF;
import org.eclipse.rdf4j.rio.RDFFormat;
import org.eclipse.rdf4j.rio.Rio;
import org.eclipse.rdf4j.sail.NotifyingSailConnection;
import org.eclipse.rdf4j.sail.memory.MemoryStore;
import org.eclipse.rdf4j.sail.memory.model.MemStatement;
import org.eclipse.rdf4j.sail.memory.model.MemStatementList;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Level;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.TearDown;
import org.openjdk.jmh.annotations.Warmup;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.RunnerException;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;
import com.google.common.collect.Lists;
/**
* This class is a benchmark for testing the performance of various data loading scenarios using the MemStatement class.
*
* @author H��vard Mikkelsen Ottestad
*/
@State(Scope.Benchmark)
@Warmup(iterations = 5)
@BenchmarkMode({ Mode.AverageTime })
//@Fork(value = 1, jvmArgs = {"-Xms4G", "-Xmx4G", "-XX:+UnlockCommercialFeatures", "-XX:StartFlightRecording=delay=5s,duration=60s,filename=recording.jfr,settings=profile", "-XX:FlightRecorderOptions=samplethreads=true,stackdepth=1024", "-XX:+UnlockDiagnosticVMOptions", "-XX:+DebugNonSafepoints"})
@Fork(value = 3, jvmArgs = { "-Xms4G", "-Xmx4G" })
@Measurement(iterations = 5)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public class MemStatementListBenchmark extends BaseConcurrentBenchmark {
private static final List<MemStatement> statementList = getStatements();
private static final List<MemStatement> realData = getRealData();
private static final int CHUNKS = 32;
public static void main(String[] args) throws RunnerException {
Options opt = new OptionsBuilder()
.include("MemStatementListBenchmark.*") // adapt to run other benchmark tests
.forks(1)
.build();
new Runner(opt).run();
}
@Setup(Level.Trial)
public void setup() throws Exception {
super.setup();
}
@TearDown(Level.Trial)
public void tearDown() throws Exception {
super.tearDown();
}
@Benchmark
public int loadSynthetic() throws InterruptedException {
MemStatementList memStatementList = new MemStatementList();
for (MemStatement statement : statementList) {
memStatementList.add(statement);
}
return memStatementList.size();
}
@Benchmark
public int loadRealData() throws InterruptedException {
MemStatementList memStatementList = new MemStatementList();
for (MemStatement statement : realData) {
memStatementList.add(statement);
}
return memStatementList.size();
}
@Benchmark
public int loadRealDataArrayList() {
ArrayList<MemStatement> memStatementList = new ArrayList<>();
for (MemStatement statement : realData) {
memStatementList.add(statement);
}
return memStatementList.size();
}
@Benchmark
public int loadRealDataSynchronizedArrayList() {
List<MemStatement> memStatementList = Collections.synchronizedList(new ArrayList<>());
for (MemStatement statement : realData) {
memStatementList.add(statement);
}
return memStatementList.size();
}
@Benchmark
public int loadRealDataConcurrentLinkedQueue() {
ConcurrentLinkedQueue<MemStatement> memStatementList = new ConcurrentLinkedQueue<>();
for (MemStatement statement : realData) {
memStatementList.add(statement);
}
return memStatementList.size();
}
@Benchmark
public int loadRealDataConcurrently() throws InterruptedException {
List<List<MemStatement>> partition = Lists.partition(realData, CHUNKS);
MemStatementList memStatementList = new MemStatementList();
runMultiWorkload(partition, memStatementList, (s, m) -> {
for (MemStatement memStatement : s) {
try {
m.add(memStatement);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
});
return memStatementList.size();
}
@Benchmark
public int loadRealDataConcurrentLinkedQueueConcurrently() throws InterruptedException {
List<List<MemStatement>> partition = Lists.partition(realData, CHUNKS);
ConcurrentLinkedQueue<MemStatement> memStatementList = new ConcurrentLinkedQueue<>();
runMultiWorkload(partition, memStatementList, (s, m) -> {
for (MemStatement memStatement : s) {
m.add(memStatement);
}
});
return memStatementList.size();
}
@Benchmark
public int loadRealDataSynchronizedArrayListConcurrently() throws InterruptedException {
List<List<MemStatement>> partition = Lists.partition(realData, CHUNKS);
List<MemStatement> memStatementList = Collections.synchronizedList(new ArrayList<>());
runMultiWorkload(partition, memStatementList, (s, m) -> {
for (MemStatement memStatement : s) {
m.add(memStatement);
}
});
return memStatementList.size();
}
@Benchmark
public int loadRealDataIntoSeparateMemStatementLists() throws InterruptedException {
List<MemStatementList> lists = new ArrayList<>(realData.size() + 1);
for (MemStatement statement : realData) {
MemStatementList memStatementList = new MemStatementList();
memStatementList.add(statement);
lists.add(memStatementList);
}
int i = 0;
for (MemStatementList list : lists) {
i += list.size();
}
return i;
}
@Benchmark
public int loadRealDataIntoSeparateMemStatementListsConcurrently() throws InterruptedException {
List<List<MemStatement>> partition = Lists.partition(realData, CHUNKS);
ConcurrentLinkedQueue<MemStatementList> memStatementLists = new ConcurrentLinkedQueue<>();
runMultiWorkload(partition, memStatementLists, (s, m) -> {
try {
for (MemStatement statement : s) {
MemStatementList memStatementList = new MemStatementList();
memStatementList.add(statement);
m.add(memStatementList);
}
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
});
int i = 0;
for (MemStatementList list : memStatementLists) {
i += list.size();
}
return i;
}
private <T, S> void runMultiWorkload(List<T> partition, S memStatementList, BiConsumer<T, S> biConsumer)
throws InterruptedException {
CountDownLatch startSignal = new CountDownLatch(1);
List<? extends Future<?>> collect = partition.stream()
.map(statements -> getRunnable(startSignal, statements, memStatementList, biConsumer))
.map(this::submit)
.collect(Collectors.toList());
startSignal.countDown();
for (Future<?> future : collect) {
try {
future.get();
} catch (ExecutionException e1) {
throw new RuntimeException(e1);
}
}
}
private static List<MemStatement> getStatements() {
Random random = new Random(34435325);
ValueFactory vf = SimpleValueFactory.getInstance();
List<Statement> statementList = new ArrayList<>();
int size = 5000;
for (int i = 0; i < size; i++) {
IRI subject = vf.createIRI("http://ex/" + i);
statementList.add(vf.createStatement(subject, RDF.TYPE, FOAF.PERSON));
statementList.add(vf.createStatement(subject, FOAF.AGE, vf.createLiteral(i % 80 + 1)));
statementList.add(vf.createStatement(subject, FOAF.NAME, vf.createLiteral("fjeiwojf kldsfjewif " + i)));
statementList
.add(vf.createStatement(subject, FOAF.KNOWS, vf.createIRI("http://ex/" + random.nextInt(size))));
statementList
.add(vf.createStatement(subject, FOAF.KNOWS, vf.createIRI("http://ex/" + random.nextInt(size))));
statementList
.add(vf.createStatement(subject, FOAF.KNOWS, vf.createIRI("http://ex/" + random.nextInt(size))));
}
MemoryStore memoryStore = new MemoryStore();
memoryStore.init();
try (NotifyingSailConnection connection = memoryStore.getConnection()) {
connection.begin(IsolationLevels.NONE);
statementList.forEach(
st -> connection.addStatement(st.getSubject(), st.getPredicate(), st.getObject(), st.getContext()));
connection.commit();
return connection.getStatements(null, null, null, false)
.stream()
.map(s -> ((MemStatement) s))
.collect(Collectors.toList());
}
}
private static List<MemStatement> getRealData() {
try {
try (InputStream inputStream = new BufferedInputStream(MemStatementListBenchmark.class.getClassLoader()
.getResourceAsStream("benchmarkFiles/datagovbe-valid.ttl"))) {
Model parse = Rio.parse(inputStream, RDFFormat.TURTLE);
MemoryStore memoryStore = new MemoryStore();
memoryStore.init();
try (NotifyingSailConnection connection = memoryStore.getConnection()) {
connection.begin(IsolationLevels.NONE);
parse.forEach(st -> connection.addStatement(st.getSubject(), st.getPredicate(), st.getObject(),
st.getContext()));
connection.commit();
return connection.getStatements(null, null, null, false)
.stream()
.map(s -> ((MemStatement) s))
.collect(Collectors.toList());
}
}
} catch (IOException e) {
throw new RuntimeException(e);
} catch (NullPointerException e) {
throw new RuntimeException("Could not load file: benchmarkFiles/datagovbe-valid.ttl", e);
}
}
}