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‎.bazeliskversion‎

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1.7.3
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1.7.5

‎docs/discover/images/discover-search-for-relevance.png‎

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‎docs/discover/search-for-relevance.asciidoc‎

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[[discover-search-for-relevance]]
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== Search for relevance
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Sometimes you might be unsure which documents best match your question.
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{es} assigns a relevancy, or score to each document, so you can
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can narrow your search to the documents with the most relevant results.
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The higher the score, the better it matches your query.
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For example, suppose you have the <<gs-get-data-into-kibana, sample flights data set>>, and you're a searching for
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a flight that arrived or departed from `Warsaw` or `Venice` when the weather was clear.
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. In *Discover*, open the index pattern dropdown, and select `kibana_sample_data_flight`.
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. In the query bar, click *KQL*, and switch to the <<lucene-query, Lucene query syntax>>.
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. Search for `Warsaw OR Venice OR Clear`.
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. If you don't see any results, open the time filter and select a time range that contains data.
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. From the list of *Available fields*, add `_score` to the document table.
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. In the document table, click the header for the `_score` column, and then sort the column by descending scores.
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The results are currently sorted by first `Time`, and then by `_score`.
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. To sort only by `_score`, remove the `Time` field.
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Your table now shows documents with the best matches, from most to least relevant.
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[role="screenshot"]
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image::images/discover-search-for-relevance.png["Example of a search for relevance"]

‎docs/user/alerting/alert-types.asciidoc‎

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* <<geo-alerting, Maps alerts>>
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* <<xpack-ml, ML alerts>>
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[NOTE]
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==============================================
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Some alert types are subscription features, while others are free features.
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For a comparison of the Elastic subscription levels,
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see {subscriptions}[the subscription page].
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==============================================
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include::stack-alerts/index-threshold.asciidoc[]
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include::stack-alerts/es-query.asciidoc[]
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include::maps-alerts/geo-alert-types.asciidoc[]

‎docs/user/discover.asciidoc‎

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[float]
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=== What’s next?
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* <<kuery-query, Learn more about the structure of a KQL query>>.
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* <<kibana-discover-settings, Configure Discover>> to better meet your needs.
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* <<reporting-getting-started, Present your findings in a report>>.
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* <<discover-search-for-relevance, Search for relevance>>.
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--
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include::{kib-repo-dir}/management/index-patterns.asciidoc[]
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include::{kib-repo-dir}/discover/set-time-filter.asciidoc[]
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include::{kib-repo-dir}/discover/search.asciidoc[]
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include::{kib-repo-dir}/discover/search-for-relevance.asciidoc[]

‎package.json‎

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"fetch-mock": "^7.3.9",
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"file-loader": "^4.2.0",
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"file-saver": "^1.3.8",
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"form-data": "^4.0.0",
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"formsy-react": "^1.1.5",
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"geckodriver": "^1.21.0",
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"glob-watcher": "5.0.3",

‎packages/kbn-dev-utils/src/index.ts‎

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KBN_P12_PATH,
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KBN_P12_PASSWORD,
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} from './certs';
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export * from './kbn_client';
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export * from './run';
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export * from './axios';
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export * from './stdio';

‎packages/kbn-docs-utils/src/api_docs/build_api_declarations/build_api_declaration.ts‎

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name?: string
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): ApiDeclaration {
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const apiName = name ? name : isNamedNode(node) ? node.getName() : 'Unnamed';
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log.debug(`Building API Declaration for ${apiName} of kind ${node.getKindName()}`);
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const apiId = parentApiId ? parentApiId + '.' + apiName : apiName;
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const anchorLink: AnchorLink = { scope, pluginName, apiName: apiId };
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‎packages/kbn-docs-utils/src/api_docs/build_api_declarations/build_arrow_fn_dec.ts‎

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anchorLink: AnchorLink,
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log: ToolingLog
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) {
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log.debug(
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`Getting Arrow Function doc def for node ${node.getName()} of kind ${node.getKindName()}`
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);
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return {
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id: getApiSectionId(anchorLink),
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type: TypeKind.FunctionKind,

‎packages/kbn-docs-utils/src/api_docs/build_api_declarations/build_function_dec.ts‎

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const label = Node.isConstructorDeclaration(node)
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? 'Constructor'
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: node.getName() || '(WARN: Missing name)';
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log.debug(`Getting function doc def for node ${label} of kind ${node.getKindName()}`);
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return {
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id: getApiSectionId(anchorLink),
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type: TypeKind.FunctionKind,

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