org.apache.pinot.perf.BenchmarkIntOpenHashMap Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
*
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*/
package org.apache.pinot.perf;
import it.unimi.dsi.fastutil.ints.Int2IntMap;
import it.unimi.dsi.fastutil.ints.Int2IntOpenHashMap;
import it.unimi.dsi.fastutil.objects.ObjectIterator;
import java.util.Iterator;
import java.util.Random;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;
import org.apache.pinot.core.query.aggregation.groupby.DictionaryBasedGroupKeyGenerator;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Param;
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.options.OptionsBuilder;
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@Fork(1)
@Warmup(iterations = 3, time = 10)
@Measurement(iterations = 5, time = 10)
@State(Scope.Benchmark)
public class BenchmarkIntOpenHashMap {
private static final int NUM_VALUES = 10_000_000;
private static final int NUM_THREADS = 20;
private static final Random RANDOM = new Random();
private final int[] _values = new int[NUM_VALUES];
private ExecutorService _executorService;
@Param({"10000", "20000", "50000", "100000", "150000"})
public int _cardinality;
@Setup
public void setUp()
throws Exception {
for (int i = 0; i < NUM_VALUES; i++) {
_values[i] = RANDOM.nextInt(_cardinality);
}
_executorService = Executors.newFixedThreadPool(NUM_THREADS);
}
@TearDown
public void tearDown() {
_executorService.shutdown();
}
@Benchmark
@BenchmarkMode(Mode.AverageTime)
public int intOpenHashMap()
throws Exception {
AtomicInteger globalSum = new AtomicInteger();
CountDownLatch operatorLatch = new CountDownLatch(NUM_THREADS);
for (int i = 0; i < NUM_THREADS; i++) {
_executorService.submit(() -> {
int sum = 0;
Int2IntOpenHashMap map = new Int2IntOpenHashMap((int) ((1 << 10) * 0.75f));
map.defaultReturnValue(-1);
for (int value : _values) {
sum += getGroupId(map, value);
}
ObjectIterator iterator = map.int2IntEntrySet().fastIterator();
while (iterator.hasNext()) {
Int2IntMap.Entry entry = iterator.next();
sum += entry.getIntKey();
sum += entry.getIntValue();
}
globalSum.addAndGet(sum);
operatorLatch.countDown();
});
}
operatorLatch.await();
return globalSum.get();
}
private int getGroupId(Int2IntOpenHashMap map, int value) {
int numGroups = map.size();
if (numGroups < 100_000) {
return map.computeIfAbsent(value, k -> numGroups);
} else {
return map.get(value);
}
}
@Benchmark
@BenchmarkMode(Mode.AverageTime)
public int intGroupIdMap()
throws Exception {
AtomicInteger globalSum = new AtomicInteger();
CountDownLatch operatorLatch = new CountDownLatch(NUM_THREADS);
for (int i = 0; i < NUM_THREADS; i++) {
_executorService.submit(() -> {
int sum = 0;
DictionaryBasedGroupKeyGenerator.IntGroupIdMap map = new DictionaryBasedGroupKeyGenerator.IntGroupIdMap();
for (int value : _values) {
map.getGroupId(value, 100_000);
}
Iterator iterator = map.iterator();
while (iterator.hasNext()) {
DictionaryBasedGroupKeyGenerator.IntGroupIdMap.Entry entry = iterator.next();
sum += entry._rawKey;
sum += entry._groupId;
}
globalSum.addAndGet(sum);
operatorLatch.countDown();
});
}
operatorLatch.await();
return globalSum.get();
}
public static void main(String[] args)
throws Exception {
new Runner(new OptionsBuilder().include(BenchmarkIntOpenHashMap.class.getSimpleName()).build()).run();
}
}