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Merge branch 'main' into mp-index-template-registry
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/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the "Elastic License
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* 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
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* Public License v 1"; you may not use this file except in compliance with, at
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* your election, the "Elastic License 2.0", the "GNU Affero General Public
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* License v3.0 only", or the "Server Side Public License, v 1".
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*/
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package org.elasticsearch.benchmark.vector;
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import org.apache.lucene.index.VectorSimilarityFunction;
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import org.elasticsearch.common.logging.LogConfigurator;
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import org.elasticsearch.index.codec.vectors.OptimizedScalarQuantizer;
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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.Level;
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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.OutputTimeUnit;
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import org.openjdk.jmh.annotations.Param;
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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 java.util.concurrent.ThreadLocalRandom;
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import java.util.concurrent.TimeUnit;
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@BenchmarkMode(Mode.Throughput)
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@OutputTimeUnit(TimeUnit.MILLISECONDS)
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@State(Scope.Benchmark)
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@Warmup(iterations = 3, time = 1)
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@Measurement(iterations = 5, time = 1)
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@Fork(value = 3)
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public class OptimizedScalarQuantizerBenchmark {
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static {
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LogConfigurator.configureESLogging(); // native access requires logging to be initialized
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}
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@Param({ "384", "702", "1024" })
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int dims;
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float[] vector;
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float[] centroid;
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byte[] destination;
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@Param({ "1", "4", "7" })
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byte bits;
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OptimizedScalarQuantizer osq = new OptimizedScalarQuantizer(VectorSimilarityFunction.DOT_PRODUCT);
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@Setup(Level.Iteration)
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public void init() {
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ThreadLocalRandom random = ThreadLocalRandom.current();
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// random byte arrays for binary methods
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destination = new byte[dims];
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vector = new float[dims];
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centroid = new float[dims];
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for (int i = 0; i < dims; ++i) {
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vector[i] = random.nextFloat();
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centroid[i] = random.nextFloat();
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}
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}
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@Benchmark
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public byte[] scalar() {
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osq.scalarQuantize(vector, destination, bits, centroid);
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return destination;
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}
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@Benchmark
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@Fork(jvmArgsPrepend = { "--add-modules=jdk.incubator.vector" })
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public byte[] vector() {
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osq.scalarQuantize(vector, destination, bits, centroid);
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return destination;
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}
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}

distribution/docker/build.gradle

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}
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if(base == DockerBase.DEFAULT) {
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// Add additional docker hub specific context which we use solely for publishing to docker hub.
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// At the moment it only differs in not labels added that we need for openshift certification
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// At the moment it is exactly the same as the default context.
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addBuildDockerContextTask(architecture, base, 'DockerHubContext', "docker-hub-build-context")
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}
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}

distribution/docker/src/docker/Dockerfile.default

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org.opencontainers.image.vendor="Elastic" \\
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org.opencontainers.image.version="${version}"
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<% if (docker_context != 'docker-hub-build-context') { %>
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LABEL name="Elasticsearch" \\
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maintainer="[email protected]" \\
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vendor="Elastic" \\
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version="${version}" \\
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release="1" \\
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summary="Elasticsearch" \\
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description="You know, for search."
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<% } %>
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RUN mkdir /licenses && ln LICENSE.txt /licenses/LICENSE
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distribution/tools/server-cli/src/main/java/org/elasticsearch/server/cli/SystemJvmOptions.java

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"-Dio.netty.noUnsafe=true",
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"-Dio.netty.noKeySetOptimization=true",
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"-Dio.netty.recycler.maxCapacityPerThread=0",
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// temporary until we get off-heap vector stats in Lucene 10.3
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"--add-opens=org.apache.lucene.core/org.apache.lucene.codecs.lucene99=org.elasticsearch.server",
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"--add-opens=org.apache.lucene.backward_codecs/org.apache.lucene.backward_codecs.lucene90=org.elasticsearch.server",
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"--add-opens=org.apache.lucene.backward_codecs/org.apache.lucene.backward_codecs.lucene91=org.elasticsearch.server",
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"--add-opens=org.apache.lucene.backward_codecs/org.apache.lucene.backward_codecs.lucene92=org.elasticsearch.server",
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"--add-opens=org.apache.lucene.backward_codecs/org.apache.lucene.backward_codecs.lucene94=org.elasticsearch.server",
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"--add-opens=org.apache.lucene.backward_codecs/org.apache.lucene.backward_codecs.lucene95=org.elasticsearch.server",
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// log4j 2
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"-Dlog4j.shutdownHookEnabled=false",
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"-Dlog4j2.disable.jmx=true",

docs/changelog/125570.yaml

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pr: 125570
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summary: ES|QL random sampling
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area: Machine Learning
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type: feature
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issues: []

docs/changelog/126598.yaml

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pr: 126598
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summary: "ESQL: Retain aggregate when grouping"
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area: ES|QL
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type: bug
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issues:
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- 126026

docs/changelog/126704.yaml

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pr: 126704
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summary: Add dense vector off-heap stats to Node stats and Index stats APIs
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area: "Vector Search"
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type: enhancement
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issues: []

docs/changelog/126990.yaml

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pr: 126990
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summary: "Fix: consider case sensitiveness differences in Windows/Unix-like filesystems\
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\ for files entitlements"
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area: Infra/Core
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type: bug
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issues:
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- 127047

docs/changelog/127118.yaml

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pr: 127118
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summary: Panama vector accelerated optimized scalar quantization
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area: Vector Search
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type: enhancement
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issues: []

docs/changelog/127267.yaml

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pr: 127267
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summary: Bypass competitive iteration in single filter bucket case
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area: "Aggregations"
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type: bug
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issues: [127262]

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