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benchmarks/src/main/java/org/opensearch/common/ArrayRoundingBenchmark.java
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/* | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* The OpenSearch Contributors require contributions made to | ||
* this file be licensed under the Apache-2.0 license or a | ||
* compatible open source license. | ||
*/ | ||
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package org.opensearch.common; | ||
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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.Param; | ||
import org.openjdk.jmh.annotations.Scope; | ||
import org.openjdk.jmh.annotations.Setup; | ||
import org.openjdk.jmh.annotations.State; | ||
import org.openjdk.jmh.annotations.Warmup; | ||
import org.openjdk.jmh.infra.Blackhole; | ||
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import java.util.Random; | ||
import java.util.function.Supplier; | ||
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@Fork(value = 3) | ||
@Warmup(iterations = 3, time = 1) | ||
@Measurement(iterations = 1, time = 1) | ||
@BenchmarkMode(Mode.Throughput) | ||
public class ArrayRoundingBenchmark { | ||
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@Benchmark | ||
public void round(Blackhole bh, Options opts) { | ||
Rounding.Prepared rounding = opts.supplier.get(); | ||
for (long key : opts.queries) { | ||
bh.consume(rounding.round(key)); | ||
} | ||
} | ||
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@State(Scope.Benchmark) | ||
public static class Options { | ||
@Param({ | ||
"1", | ||
"2", | ||
"3", | ||
"4", | ||
"5", | ||
"6", | ||
"7", | ||
"8", | ||
"9", | ||
"10", | ||
"12", | ||
"14", | ||
"16", | ||
"18", | ||
"20", | ||
"22", | ||
"24", | ||
"26", | ||
"29", | ||
"32", | ||
"37", | ||
"41", | ||
"45", | ||
"49", | ||
"54", | ||
"60", | ||
"64", | ||
"74", | ||
"83", | ||
"90", | ||
"98", | ||
"108", | ||
"118", | ||
"128", | ||
"144", | ||
"159", | ||
"171", | ||
"187", | ||
"204", | ||
"229", | ||
"256" }) | ||
public Integer size; | ||
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@Param({ "binary", "linear" }) | ||
public String type; | ||
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@Param({ "uniform", "skewed_edge", "skewed_center" }) | ||
public String distribution; | ||
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public long[] queries; | ||
public Supplier<Rounding.Prepared> supplier; | ||
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@Setup | ||
public void setup() { | ||
Random random = new Random(size); | ||
long[] values = new long[size]; | ||
for (int i = 1; i < values.length; i++) { | ||
values[i] = values[i - 1] + 100; | ||
} | ||
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long range = values[values.length - 1] - values[0] + 100; | ||
long mean, stddev; | ||
queries = new long[1000000]; | ||
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switch (distribution) { | ||
case "uniform": // all values equally likely. | ||
for (int i = 0; i < queries.length; i++) { | ||
queries[i] = values[0] + (nextPositiveLong(random) % range); | ||
} | ||
break; | ||
case "skewed_edge": // distribution centered at p90 with ± 5% stddev. | ||
mean = values[0] + (long) (range * 0.9); | ||
stddev = (long) (range * 0.05); | ||
for (int i = 0; i < queries.length; i++) { | ||
queries[i] = Math.max(values[0], mean + (long) (random.nextGaussian() * stddev)); | ||
} | ||
break; | ||
case "skewed_center": // distribution centered at p50 with ± 5% stddev. | ||
mean = values[0] + (long) (range * 0.5); | ||
stddev = (long) (range * 0.05); | ||
for (int i = 0; i < queries.length; i++) { | ||
queries[i] = Math.max(values[0], mean + (long) (random.nextGaussian() * stddev)); | ||
} | ||
break; | ||
default: | ||
throw new IllegalArgumentException("invalid distribution: " + distribution); | ||
} | ||
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switch (type) { | ||
case "binary": | ||
supplier = () -> new Rounding.BinarySearchArrayRounding(values, size, null); | ||
break; | ||
case "linear": | ||
supplier = () -> new Rounding.BidirectionalLinearSearchArrayRounding(values, size, null); | ||
break; | ||
default: | ||
throw new IllegalArgumentException("invalid type: " + type); | ||
} | ||
} | ||
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private static long nextPositiveLong(Random random) { | ||
return random.nextLong() & Long.MAX_VALUE; | ||
} | ||
} | ||
} |
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