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[Backport 8.x] [OpenAPI] Edits connector API summaries (#3071)
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docs/overlays/elasticsearch-shared-overlays.yaml

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@@ -35,26 +35,28 @@ actions:
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Connectors are Elasticsearch integrations that bring content from third-party data sources, which can be deployed on Elastic Cloud or hosted on your own infrastructure:
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* Native connectors are a managed service on Elastic Cloud
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* Connector clients are self-managed on your infrastructure
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* Elastic managed connectors (Native connectors) are a managed service on Elastic Cloud
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* Self-managed connectors (Connector clients) are self-managed on your infrastructure.
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This API provides an alternative to relying solely on Kibana UI for connector and sync job management. The API comes with a set of validations and assertions to ensure that the state representation in the internal index remains valid.
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externalDocs:
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url: https://www.elastic.co/guide/en/enterprise-search/current/connectors-tutorial-api.html
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description: To get started with Connector APIs, check out the tutorial.
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/es-connectors-tutorial-api.html
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description: Connector API tutorial
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- name: ccr
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x-displayName: Cross-cluster replication
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# D
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- name: data stream
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x-displayName: Data stream
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externalDocs:
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description: Data stream overview
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/data-streams.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/data-streams.html
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- name: document
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x-displayName: Document
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externalDocs:
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description: Reading and writing documents
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-replication.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/docs-replication.html
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- name: mget
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x-displayName: Document - Multi get
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- name: mtermvectors
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description: >
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Event Query Language (EQL) is a query language for event-based time series data, such as logs, metrics, and traces.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/eql.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/eql.html
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description: EQL search
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- name: esql
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x-displayName: ES|QL
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description: >
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The Elasticsearch Query Language (ES|QL) provides a powerful way to filter, transform, and analyze data stored in Elasticsearch, and in the future in other runtimes.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/esql.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/esql.html
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description: ES|QL overview and tutorials
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# F
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- name: features
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description: >
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The graph explore API enables you to extract and summarize information about the documents and terms in an Elasticsearch data stream or index.
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externalDocs:
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url: https://www.elastic.co/guide/en/kibana/current/xpack-graph.html
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url: https://www.elastic.co/guide/en/kibana/8.x/xpack-graph.html
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description: Getting started with Graph
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# I
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- name: indices
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- name: ilm
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x-displayName: Index lifecycle management
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/index-lifecycle-management.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/index-lifecycle-management.html
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description: Manage the index lifecycle
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- name: inference
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x-displayName: Inference
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description: >
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Logstash APIs enable you to manage pipelines that are used by Logstash Central Management.
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externalDocs:
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url: https://www.elastic.co/guide/en/logstash/current/logstash-centralized-pipeline-management.html
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url: https://www.elastic.co/guide/en/logstash/8.x/logstash-centralized-pipeline-management.html
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description: Centralized pipeline management
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# M
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- name: ml
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x-displayName: Machine learning anomaly detection
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# description:
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externalDocs:
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url: https://www.elastic.co/guide/en/machine-learning/current/ml-ad-finding-anomalies.html
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url: https://www.elastic.co/guide/en/machine-learning/8.x/ml-ad-finding-anomalies.html
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description: Finding anomalies
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- name: ml data frame
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x-displayName: Machine learning data frame analytics
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# description:
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externalDocs:
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url: https://www.elastic.co/guide/en/machine-learning/current/ml-dfa-overview.html
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url: https://www.elastic.co/guide/en/machine-learning/8.x/ml-dfa-overview.html
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description: Data frame analytics overview
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- name: ml trained model
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x-displayName: Machine learning trained model
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# description:
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externalDocs:
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url: https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-overview.html
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url: https://www.elastic.co/guide/en/machine-learning/8.x/ml-nlp-overview.html
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description: Natural language processing overview
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- name: migration
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x-displayName: Migration
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If a query matches one or more rules in the ruleset, the query is re-written to apply the rules before searching.
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This allows pinning documents for only queries that match a specific term.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-rule-query.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/query-dsl-rule-query.html
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description: Rule query
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# R
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- name: rollup
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description: >
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Snapshot and restore APIs enable you to set up snapshot repositories, manage snapshot backups, and restore snapshots to a running cluster.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/snapshot-restore.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/snapshot-restore.html
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description: Snapshot and restore
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- name: slm
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x-displayName: Snapshot lifecycle management
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description: >
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Snapshot lifecycle management (SLM) APIs enable you to set up policies to automatically take snapshots and control how long they are retained.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/snapshots-take-snapshot.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/snapshots-take-snapshot.html
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description: Create a snapshot
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- name: sql
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x-displayName: SQL
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description: >
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Elasticsearch's SQL APIs enable you to run SQL queries on Elasticsearch indices and data streams.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/xpack-sql.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/xpack-sql.html
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description: An overview and tutorials for the Elasticsearch SQL features
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- name: synonyms
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x-displayName: Synonyms
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x-model: true
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externalDocs:
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description: Templating a role query
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/field-and-document-access-control.html#templating-role-query
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/field-and-document-access-control.html#templating-role-query
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- target: "$.components['schemas']['_types.query_dsl:DistanceFeatureQuery']"
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description: Add x-model for distance feature query
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All the options that are supported by Elasticsearch can be used, as this object is passed verbatim to Elasticsearch.
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By default, this property has the following value: `{"match_all": {"boost": 1}}`.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/query-dsl.html
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description: Query DSL
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- target: "$.components['schemas']['ml._types:CategorizationAnalyzerDefinition'].properties.tokenizer"
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description: Remove tokenizer object from ML anomaly detection analysis config
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Additionally, the `ml_classic` tokenizer is available, which tokenizes in the same way as the non-customizable tokenizer in old versions of the product (before 6.2).
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`ml_classic` was the default categorization tokenizer in versions 6.2 to 7.13, so if you need categorization identical to the default for jobs created in these versions, specify `"tokenizer": "ml_classic"` in your `categorization_analyzer`.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-tokenizers.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/analysis-tokenizers.html
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description: Tokenizer reference
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- target: "$.components['schemas']['ml._types:DataframeAnalyticsSource'].properties.query"
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description: Remove query object from data frame analytics source
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All the options that are supported by Elasticsearch can be used, as this object is passed verbatim to Elasticsearch.
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By default, this property has the following value: `{"match_all": {}}`.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/query-dsl.html
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description: Query DSL
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- target: "$.components['schemas']['transform._types:Source'].properties.query"
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description: Remove query object from transform source
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description: >
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A query clause that retrieves a subset of data from the source index.
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/query-dsl.html
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description: Query DSL
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- target: "$.components['schemas']['_global.search._types:FieldCollapse']"
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description: Add x-model and externalDocs
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x-model: true
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externalDocs:
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url: https://www.elastic.co/guide/en/elasticsearch/reference/master/collapse-search-results.html
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url: https://www.elastic.co/guide/en/elasticsearch/reference/8.x/collapse-search-results.html
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- target: "$.components['schemas']['_global.msearch:MultisearchBody'].properties"
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description: Add x-model
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update:

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