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@@ -23,3 +23,4 @@ BWC_VERSION: | |
| - "2.9.0" | ||
| - "2.9.1" | ||
| - "2.10.0" | ||
| - "2.11.0" | ||
Validating CODEOWNERS rules …
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| * @reta @anasalkouz @andrross @reta @Bukhtawar @CEHENKLE @dblock @gbbafna @setiah @kartg @kotwanikunal @mch2 @nknize @owaiskazi19 @Rishikesh1159 @ryanbogan @saratvemulapalli @shwetathareja @dreamer-89 @tlfeng @VachaShah @dbwiddis @sachinpkale @sohami @msfroh | ||
| * @reta @anasalkouz @andrross @Bukhtawar @CEHENKLE @dblock @gbbafna @setiah @kartg @kotwanikunal @mch2 @nknize @owaiskazi19 @peternied @Rishikesh1159 @ryanbogan @saratvemulapalli @shwetathareja @dreamer-89 @tlfeng @VachaShah @dbwiddis @sachinpkale @sohami @msfroh |
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147 changes: 147 additions & 0 deletions
147
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. | ||
| */ | ||
|
|
||
| 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; | ||
|
|
||
| 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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