I've always been confused by the strange behavior that I saw when working on #57304. Specifically, I saw switching from a bimorphic invocation to a monomorphic invocation to give us a 7%-15% performance bump. This felt *bonkers* to me. And, it also made me wonder whether it'd be worth looking into doing it everywhere. It turns out that, no, it isn't needed everywhere. This benchmark shows that a bimorphic invocation like: ``` LongKeyedBucketOrds ords = new LongKeyedBucketOrds.ForSingle(); ords.add(0, 0); <------ this line ``` is 19% slower than a monomorphic invocation like: ``` LongKeyedBucketOrds.ForSingle ords = new LongKeyedBucketOrds.ForSingle(); ords.add(0, 0); <------ this line ``` But *only* when the reference is mutable. In the example above, if `ords` is never changed then both perform the same. But if the `ords` reference is assigned twice then we start to see the difference: ``` immutable bimorphic avgt 10 6.468 ± 0.045 ns/op immutable monomorphic avgt 10 6.756 ± 0.026 ns/op mutable bimorphic avgt 10 9.741 ± 0.073 ns/op mutable monomorphic avgt 10 8.190 ± 0.016 ns/op ``` So the conclusion from all this is that we've done the right thing: `auto_date_histogram` is the only aggregation in which `ords` isn't final and it is the only aggregation that forces monomorphic invocations. All other aggregations use an immutable bimorphic invocation. Which is fine. Relates to #56487
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* 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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.elasticsearch.benchmark.search.aggregations.bucket.terms;
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import org.elasticsearch.common.settings.Settings;
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import org.elasticsearch.common.util.BigArrays;
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import org.elasticsearch.common.util.PageCacheRecycler;
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import org.elasticsearch.search.aggregations.CardinalityUpperBound;
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import org.elasticsearch.search.aggregations.bucket.histogram.AutoDateHistogramAggregationBuilder;
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import org.elasticsearch.search.aggregations.bucket.terms.LongKeyedBucketOrds;
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import org.openjdk.jmh.annotations.Benchmark;
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import org.openjdk.jmh.annotations.BenchmarkMode;
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import org.openjdk.jmh.annotations.Fork;
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import org.openjdk.jmh.annotations.Measurement;
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import org.openjdk.jmh.annotations.Mode;
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import org.openjdk.jmh.annotations.OperationsPerInvocation;
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import org.openjdk.jmh.annotations.OutputTimeUnit;
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import org.openjdk.jmh.annotations.Scope;
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import org.openjdk.jmh.annotations.Setup;
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import org.openjdk.jmh.annotations.State;
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import org.openjdk.jmh.annotations.Warmup;
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import org.openjdk.jmh.infra.Blackhole;
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import java.util.concurrent.TimeUnit;
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@Fork(2)
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@Warmup(iterations = 10)
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@Measurement(iterations = 5)
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@BenchmarkMode(Mode.AverageTime)
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@OutputTimeUnit(TimeUnit.NANOSECONDS)
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@OperationsPerInvocation(1_000_000)
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@State(Scope.Benchmark)
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public class LongKeyedBucketOrdsBenchmark {
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private static final long LIMIT = 1_000_000;
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/**
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* The number of distinct values to add to the buckets.
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*/
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private static final long DISTINCT_VALUES = 10;
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/**
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* The number of buckets to create in the {@link #multiBucket} case.
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* <p>
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* If this is not relatively prime to {@link #DISTINCT_VALUES} then the
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* values won't be scattered evenly across the buckets.
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*/
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private static final long DISTINCT_BUCKETS = 21;
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private final PageCacheRecycler recycler = new PageCacheRecycler(Settings.EMPTY);
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private final BigArrays bigArrays = new BigArrays(recycler, null, "REQUEST");
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/**
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* Force loading all of the implementations just for extra paranoia's sake.
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* We really don't want the JVM to be able to eliminate one of them just
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* because we don't use it in the particular benchmark. That is totally a
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* thing it'd do. It is sneaky.
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*/
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@Setup
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public void forceLoadClasses(Blackhole bh) {
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bh.consume(LongKeyedBucketOrds.FromSingle.class);
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bh.consume(LongKeyedBucketOrds.FromMany.class);
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}
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/**
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* Emulates a way that we do <strong>not</strong> use {@link LongKeyedBucketOrds}
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* because it is not needed.
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*/
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@Benchmark
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public void singleBucketIntoSingleImmutableMonmorphicInvocation(Blackhole bh) {
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try (LongKeyedBucketOrds.FromSingle ords = new LongKeyedBucketOrds.FromSingle(bigArrays)) {
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for (long i = 0; i < LIMIT; i++) {
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ords.add(0, i % DISTINCT_VALUES);
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}
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bh.consume(ords);
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}
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}
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/**
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* Emulates the way that most aggregations use {@link LongKeyedBucketOrds}.
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*/
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@Benchmark
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public void singleBucketIntoSingleImmutableBimorphicInvocation(Blackhole bh) {
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try (LongKeyedBucketOrds ords = LongKeyedBucketOrds.build(bigArrays, CardinalityUpperBound.ONE)) {
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for (long i = 0; i < LIMIT; i++) {
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ords.add(0, i % DISTINCT_VALUES);
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}
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bh.consume(ords);
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}
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}
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/**
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* Emulates the way that {@link AutoDateHistogramAggregationBuilder} uses {@link LongKeyedBucketOrds}.
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*/
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@Benchmark
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public void singleBucketIntoSingleMutableMonmorphicInvocation(Blackhole bh) {
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LongKeyedBucketOrds.FromSingle ords = new LongKeyedBucketOrds.FromSingle(bigArrays);
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for (long i = 0; i < LIMIT; i++) {
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if (i % 100_000 == 0) {
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ords.close();
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bh.consume(ords);
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ords = new LongKeyedBucketOrds.FromSingle(bigArrays);
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}
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ords.add(0, i % DISTINCT_VALUES);
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}
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bh.consume(ords);
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ords.close();
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}
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/**
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* Emulates a way that we do <strong>not</strong> use {@link LongKeyedBucketOrds}
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* because it is significantly slower than the
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* {@link #singleBucketIntoSingleMutableMonmorphicInvocation monomorphic invocation}.
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*/
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@Benchmark
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public void singleBucketIntoSingleMutableBimorphicInvocation(Blackhole bh) {
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LongKeyedBucketOrds ords = LongKeyedBucketOrds.build(bigArrays, CardinalityUpperBound.ONE);
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for (long i = 0; i < LIMIT; i++) {
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if (i % 100_000 == 0) {
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ords.close();
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bh.consume(ords);
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ords = LongKeyedBucketOrds.build(bigArrays, CardinalityUpperBound.ONE);
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}
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ords.add(0, i % DISTINCT_VALUES);
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}
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bh.consume(ords);
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ords.close();
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}
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/**
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* Emulates an aggregation that collects from a single bucket "by accident".
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* This can happen if an aggregation is under, say, a {@code terms}
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* aggregation and there is only a single value for that term in the index.
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*/
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@Benchmark
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public void singleBucketIntoMulti(Blackhole bh) {
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try (LongKeyedBucketOrds ords = LongKeyedBucketOrds.build(bigArrays, CardinalityUpperBound.MANY)) {
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for (long i = 0; i < LIMIT; i++) {
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ords.add(0, i % DISTINCT_VALUES);
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}
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bh.consume(ords);
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}
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}
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/**
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* Emulates an aggregation that collects from many buckets.
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*/
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@Benchmark
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public void multiBucket(Blackhole bh) {
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try (LongKeyedBucketOrds ords = LongKeyedBucketOrds.build(bigArrays, CardinalityUpperBound.MANY)) {
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for (long i = 0; i < LIMIT; i++) {
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ords.add(i % DISTINCT_BUCKETS, i % DISTINCT_VALUES);
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}
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bh.consume(ords);
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}
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}
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}
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