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Merge branch 'main' of https://github.com/elastic/elasticsearch into field_names_for_inlinestats_fix
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BUILDING.md

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@@ -144,7 +144,7 @@ To wire this registered cluster into a `TestClusterAware` task (e.g. `RestIntegT
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Additional integration tests for a certain Elasticsearch modules that are specific to certain cluster configuration can be declared in a separate so called `qa` subproject of your module.
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The benefit of a dedicated project for these tests are:
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- `qa` projects are dedicated two specific use-cases and easier to maintain
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- `qa` projects are dedicated to specific use-cases and easier to maintain
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- It keeps the specific test logic separated from the common test logic.
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- You can run those tests in parallel to other projects of the build.
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benchmarks/build.gradle

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@@ -42,6 +42,7 @@ dependencies {
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api(project(':libs:h3'))
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api(project(':modules:aggregations'))
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api(project(':x-pack:plugin:esql-core'))
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api(project(':x-pack:plugin:core'))
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api(project(':x-pack:plugin:esql'))
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api(project(':x-pack:plugin:esql:compute'))
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implementation project(path: ':libs:simdvec')

benchmarks/src/main/java/org/elasticsearch/benchmark/compute/operator/ValuesSourceReaderBenchmark.java

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import org.apache.lucene.util.NumericUtils;
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import org.elasticsearch.common.breaker.NoopCircuitBreaker;
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import org.elasticsearch.common.lucene.Lucene;
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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.compute.data.BlockFactory;
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import org.elasticsearch.compute.data.BytesRefBlock;
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import org.elasticsearch.index.mapper.MappedFieldType;
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import org.elasticsearch.index.mapper.NumberFieldMapper;
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import org.elasticsearch.search.lookup.SearchLookup;
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import org.elasticsearch.xpack.esql.plugin.EsqlPlugin;
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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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fields(name),
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List.of(new ValuesSourceReaderOperator.ShardContext(reader, () -> {
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throw new UnsupportedOperationException("can't load _source here");
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})),
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}, EsqlPlugin.STORED_FIELDS_SEQUENTIAL_PROPORTION.getDefault(Settings.EMPTY))),
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0
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);
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long sum = 0;
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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.esql;
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import org.elasticsearch.common.logging.LogConfigurator;
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import org.elasticsearch.common.settings.Settings;
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import org.elasticsearch.index.IndexMode;
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import org.elasticsearch.license.XPackLicenseState;
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import org.elasticsearch.xpack.esql.analysis.Analyzer;
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import org.elasticsearch.xpack.esql.analysis.AnalyzerContext;
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import org.elasticsearch.xpack.esql.analysis.EnrichResolution;
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import org.elasticsearch.xpack.esql.analysis.Verifier;
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import org.elasticsearch.xpack.esql.core.expression.FoldContext;
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import org.elasticsearch.xpack.esql.core.type.EsField;
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import org.elasticsearch.xpack.esql.core.util.DateUtils;
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import org.elasticsearch.xpack.esql.expression.function.EsqlFunctionRegistry;
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import org.elasticsearch.xpack.esql.index.EsIndex;
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import org.elasticsearch.xpack.esql.index.IndexResolution;
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import org.elasticsearch.xpack.esql.inference.InferenceResolution;
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import org.elasticsearch.xpack.esql.optimizer.LogicalOptimizerContext;
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import org.elasticsearch.xpack.esql.optimizer.LogicalPlanOptimizer;
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import org.elasticsearch.xpack.esql.parser.EsqlParser;
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import org.elasticsearch.xpack.esql.parser.QueryParams;
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import org.elasticsearch.xpack.esql.plan.logical.LogicalPlan;
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import org.elasticsearch.xpack.esql.plugin.EsqlPlugin;
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import org.elasticsearch.xpack.esql.plugin.QueryPragmas;
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import org.elasticsearch.xpack.esql.session.Configuration;
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import org.elasticsearch.xpack.esql.telemetry.Metrics;
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import org.elasticsearch.xpack.esql.telemetry.PlanTelemetry;
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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.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.LinkedHashMap;
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import java.util.Locale;
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import java.util.Map;
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import java.util.concurrent.TimeUnit;
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import static java.util.Collections.emptyMap;
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import static org.elasticsearch.xpack.esql.core.type.DataType.TEXT;
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@Fork(1)
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@Warmup(iterations = 5)
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@Measurement(iterations = 10)
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@BenchmarkMode(Mode.AverageTime)
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@OutputTimeUnit(TimeUnit.MILLISECONDS)
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@State(Scope.Benchmark)
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public class QueryPlanningBenchmark {
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static {
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LogConfigurator.configureESLogging();
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}
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private PlanTelemetry telemetry;
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private EsqlParser parser;
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private Analyzer analyzer;
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private LogicalPlanOptimizer optimizer;
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@Setup
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public void setup() {
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var config = new Configuration(
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DateUtils.UTC,
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Locale.US,
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null,
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null,
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new QueryPragmas(Settings.EMPTY),
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EsqlPlugin.QUERY_RESULT_TRUNCATION_MAX_SIZE.getDefault(Settings.EMPTY),
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EsqlPlugin.QUERY_RESULT_TRUNCATION_DEFAULT_SIZE.getDefault(Settings.EMPTY),
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"",
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false,
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Map.of(),
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System.nanoTime(),
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false
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);
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var fields = 10_000;
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var mapping = LinkedHashMap.<String, EsField>newLinkedHashMap(fields);
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for (int i = 0; i < fields; i++) {
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mapping.put("field" + i, new EsField("field-" + i, TEXT, emptyMap(), true));
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}
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var esIndex = new EsIndex("test", mapping, Map.of("test", IndexMode.STANDARD));
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var functionRegistry = new EsqlFunctionRegistry();
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telemetry = new PlanTelemetry(functionRegistry);
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parser = new EsqlParser();
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analyzer = new Analyzer(
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new AnalyzerContext(
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config,
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functionRegistry,
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IndexResolution.valid(esIndex),
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Map.of(),
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new EnrichResolution(),
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InferenceResolution.EMPTY
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),
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new Verifier(new Metrics(functionRegistry), new XPackLicenseState(() -> 0L))
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);
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optimizer = new LogicalPlanOptimizer(new LogicalOptimizerContext(config, FoldContext.small()));
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}
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private LogicalPlan plan(String query) {
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var parsed = parser.createStatement(query, new QueryParams(), telemetry);
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var analyzed = analyzer.analyze(parsed);
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var optimized = optimizer.optimize(analyzed);
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return optimized;
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}
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@Benchmark
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public void run(Blackhole blackhole) {
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blackhole.consume(plan("FROM test | LIMIT 10"));
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}
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}

docs/changelog/127229.yaml

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pr: 127229
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summary: Return BAD_REQUEST when a field scorer references a missing field
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area: Ranking
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type: bug
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issues:
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- 127162

docs/changelog/127348.yaml

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pr: 127348
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summary: Speed loading stored fields
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area: ES|QL
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type: enhancement
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issues: []

docs/changelog/127414.yaml

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pr: 127414
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summary: Fix npe when using source confirmed text query against missing field
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area: Search
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type: bug
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issues: []

docs/changelog/127527.yaml

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pr: 127527
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summary: "No, line noise isn't a valid ip"
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area: ES|QL
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type: bug
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issues: []

docs/reference/elasticsearch/index-settings/index-modules.md

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$$$index-mode-setting$$$ `index.mode`
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: The `index.mode` setting is used to control settings applied in specific domains like ingestion of time series data or logs. Different mutually exclusive modes exist, which are used to apply settings or default values controlling indexing of documents, sorting and other parameters whose value affects indexing or query performance.
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**Example**
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```console
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$$$index-hidden$$$ `index.hidden`
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: Indicates whether the index should be hidden by default. Hidden indices are not returned by default when using a wildcard expression. This behavior is controlled per request through the use of the `expand_wildcards` parameter. Possible values are `true` and `false` (default).
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$$$index-esql-stored-fields-sequential-proportion$$$
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`index.esql.stored_fields_sequential_proportion`
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: Tuning parameter for deciding when {{esql}} will load [Stored fields](/reference/elasticsearch/rest-apis/retrieve-selected-fields.md#stored-fields) using a strategy tuned for loading dense sequence of documents. Allows values between 0.0 and 1.0 and defaults to 0.2. Indices with documents smaller than 10kb may see speed improvements loading `text` fields by setting this lower.

docs/reference/enrich-processor/date-processor.md

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### Example dealing with short timezone abbreviations safely [date-processor-short-timezone-example]
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In the example below, the `message` field in the input is expected to be a string formed of a local date-time in `yyyyMMddHHmmss` format, a timezone abbreviated to one of `PST`, `CET`, or `JST` representing Pacific, Central European, or Japan time, and a payload. This field is split up using a `grok` processor, then the timezones are converted into full names using a `script` processor, then the date-time is parsed using a `date` processor, and finally the unwanted fields are discarded using a `drop` processor.
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In the example below, the `message` field in the input is expected to be a string formed of a local date-time in `yyyyMMddHHmmss` format, a timezone abbreviated to one of `PST`, `CET`, or `JST` representing Pacific, Central European, or Japan time, and a payload. This field is split up using a `grok` processor, then the timezones are converted into full names using a `script` processor, then the date-time is parsed using a `date` processor, and finally the unwanted fields are discarded using a `remove` processor.
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```js
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{

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