** *`index` (Optional, string | string[])*: List of data streams, indices, and aliases to search. Supports wildcards (`*`). To search all data streams and indices, omit this parameter or use `*` or `_all`.
** *`allow_no_indices` (Optional, boolean)*: If `false`, the request returns an error if any wildcard expression, index alias, or `_all` value targets only missing or closed indices. This behavior applies even if the request targets other open indices.
** *`analyzer` (Optional, string)*: Analyzer to use for the query string. This parameter can only be used when the `q` query string parameter is specified.
** *`analyze_wildcard` (Optional, boolean)*: If `true`, wildcard and prefix queries are analyzed. This parameter can only be used when the `q` query string parameter is specified.
@ -189,7 +189,7 @@ client.deleteByQuery({ index })
* *Request (object):*
** *`index` (string | string[])*: List of data streams, indices, and aliases to search. Supports wildcards (`*`). To search all data streams or indices, omit this parameter or use `*` or `_all`.
** *`max_docs` (Optional, number)*: The maximum number of documents to delete.
** *`slice` (Optional, { field, id, max })*: Slice the request manually using the provided slice ID and total number of slices.
** *`allow_no_indices` (Optional, boolean)*: If `false`, the request returns an error if any wildcard expression, index alias, or `_all` value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targeting `foo*,bar*` returns an error if an index starts with `foo` but no index starts with `bar`.
** *`analyzer` (Optional, string)*: Analyzer to use for the query string.
@ -326,7 +326,7 @@ client.explain({ id, index })
* *Request (object):*
** *`id` (string)*: Defines the document ID.
** *`index` (string)*: Index names used to limit the request. Only a single index name can be provided to this parameter.
** *`analyzer` (Optional, string)*: Analyzer to use for the query string. This parameter can only be used when the `q` query string parameter is specified.
** *`analyze_wildcard` (Optional, boolean)*: If `true`, wildcard and prefix queries are analyzed.
** *`default_operator` (Optional, Enum("and" | "or"))*: The default operator for query string query: `AND` or `OR`.
@ -361,7 +361,7 @@ client.fieldCaps({ ... })
* *Request (object):*
** *`index` (Optional, string | string[])*: List of data streams, indices, and aliases used to limit the request. Supports wildcards (*). To target all data streams and indices, omit this parameter or use * or _all.
** *`fields` (Optional, string | string[])*: List of fields to retrieve capabilities for. Wildcard (`*`) expressions are supported.
** *`index_filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: Allows to filter indices if the provided query rewrites to match_none on every shard.
** *`index_filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_grid, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: Allows to filter indices if the provided query rewrites to match_none on every shard.
** *`runtime_mappings` (Optional, Record<string, { fields, fetch_fields, format, input_field, target_field, target_index, script, type }>)*: Defines ad-hoc runtime fields in the request similar to the way it is done in search requests. These fields exist only as part of the query and take precedence over fields defined with the same name in the index mappings.
** *`allow_no_indices` (Optional, boolean)*: If false, the request returns an error if any wildcard expression, index alias, or `_all` value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targeting `foo*,bar*` returns an error if an index starts with foo but no index starts with bar.
** *`expand_wildcards` (Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[])*: Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such as `open,hidden`.
** *`docvalue_fields` (Optional, { field, format, include_unmapped }[])*: The request returns doc values for field names matching these patterns in the hits.fields property of the response. Accepts wildcard (*) patterns.
** *`stored_fields` (Optional, string | string[])*: List of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the _source parameter defaults to false. You can pass _source: true to return both source fields and stored fields in the search response.
** *`fields` (Optional, string | string[])*: The request returns values for field names matching these patterns in the hits.fields property of the response. Accepts wildcard (*) patterns.
** *`filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type } | { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type }[])*: Query to filter the documents that can match. The kNN search will return the top `k` documents that also match this filter. The value can be a single query or a list of queries. If `filter` isn't provided, all documents are allowed to match.
** *`filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_grid, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type } | { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_grid, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type }[])*: Query to filter the documents that can match. The kNN search will return the top `k` documents that also match this filter. The value can be a single query or a list of queries. If `filter` isn't provided, all documents are allowed to match.
** *`routing` (Optional, string)*: A list of specific routing values
** *`rank` (Optional, { rrf })*: Defines the Reciprocal Rank Fusion (RRF) to use.
** *`min_score` (Optional, number)*: Minimum `_score` for matching documents. Documents with a lower `_score` are not included in the search results.
** *`post_filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: Use the `post_filter` parameter to filter search results. The search hits are filtered after the aggregations are calculated. A post filter has no impact on the aggregation results.
** *`post_filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_grid, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: Use the `post_filter` parameter to filter search results. The search hits are filtered after the aggregations are calculated. A post filter has no impact on the aggregation results.
** *`profile` (Optional, boolean)*: Set to `true` to return detailed timing information about the execution of individual components in a search request. NOTE: This is a debugging tool and adds significant overhead to search execution.
** *`rescore` (Optional, { window_size, query, learning_to_rank } | { window_size, query, learning_to_rank }[])*: Can be used to improve precision by reordering just the top (for example 100 - 500) documents returned by the `query` and `post_filter` phases.
** *`retriever` (Optional, { standard, knn, rrf, text_similarity_reranker })*: A retriever is a specification to describe top documents returned from a search. A retriever replaces other elements of the search API that also return top documents such as query and knn.
** *`script_fields` (Optional, Record<string, { script, ignore_failure }>)*: Retrieve a script evaluation (based on different fields) for each hit.
** *`grid_agg` (Optional, Enum("geotile" | "geohex"))*: Aggregation used to create a grid for the `field`.
** *`grid_precision` (Optional, number)*: Additional zoom levels available through the aggs layer. For example, if <zoom> is 7 and grid_precision is 8, you can zoom in up to level 15. Accepts 0-8. If 0, results don’t include the aggs layer.
** *`grid_type` (Optional, Enum("grid" | "point" | "centroid"))*: Determines the geometry type for features in the aggs layer. In the aggs layer, each feature represents a geotile_grid cell. If 'grid' each feature is a Polygon of the cells bounding box. If 'point' each feature is a Point that is the centroid of the cell.
** *`runtime_mappings` (Optional, Record<string, { fields, fetch_fields, format, input_field, target_field, target_index, script, type }>)*: Defines one or more runtime fields in the search request. These fields take precedence over mapped fields with the same name.
** *`size` (Optional, number)*: Maximum number of features to return in the hits layer. Accepts 0-10000. If 0, results don’t include the hits layer.
** *`sort` (Optional, string | { _score, _doc, _geo_distance, _script } | string | { _score, _doc, _geo_distance, _script }[])*: Sorts features in the hits layer. By default, the API calculates a bounding box for each feature. It sorts features based on this box’s diagonal length, from longest to shortest.
@ -1108,7 +1108,7 @@ client.termsEnum({ index, field })
** *`size` (Optional, number)*: How many matching terms to return.
** *`timeout` (Optional, string | -1 | 0)*: The maximum length of time to spend collecting results. Defaults to "1s" (one second). If the timeout is exceeded the complete flag set to false in the response and the results may be partial or empty.
** *`case_insensitive` (Optional, boolean)*: When true the provided search string is matched against index terms without case sensitivity.
** *`string` (Optional, string)*: The string after which terms in the index should be returned. Allows for a form of pagination if the last result from one request is passed as the search_after parameter for a subsequent request.
** *`search_after` (Optional, string)*
@ -1196,7 +1196,7 @@ client.updateByQuery({ index })
* *Request (object):*
** *`index` (string | string[])*: List of data streams, indices, and aliases to search. Supports wildcards (`*`). To search all data streams or indices, omit this parameter or use `*` or `_all`.
** *`max_docs` (Optional, number)*: The maximum number of documents to update.
** *`query` (string)*: The ES|QL query API accepts an ES|QL query string in the query parameter, runs it, and returns the results.
** *`columnar` (Optional, boolean)*: By default, ES|QL returns results as rows. For example, FROM returns each individual document as one row. For the JSON, YAML, CBOR and smile formats, ES|QL can return the results in a columnar fashion where one row represents all the values of a certain column in the results.
** *`filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: Specify a Query DSL query in the filter parameter to filter the set of documents that an ES|QL query runs on.
** *`filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_grid, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: Specify a Query DSL query in the filter parameter to filter the set of documents that an ES|QL query runs on.
** *`locale` (Optional, string)*
** *`params` (Optional, number | number | string | boolean | null | User-defined value[])*: To avoid any attempts of hacking or code injection, extract the values in a separate list of parameters. Use question mark placeholders (?) in the query string for each of the parameters.
** *`profile` (Optional, boolean)*: If provided and `true` the response will include an extra `profile` object
@ -3730,9 +3730,9 @@ Defaults to 10,000 hits.
names matching these patterns in the hits.fields property of the response.
** *`min_score` (Optional, number)*: Minimum _score for matching documents. Documents with a lower _score are
** *`script_fields` (Optional, Record<string, { script, ignore_failure }>)*: Retrieve a script evaluation (based on different fields) for each hit.
** *`search_after` (Optional, number | number | string | boolean | null | User-defined value[])*
@ -3826,7 +3826,7 @@ client.graph.explore({ index })
** *`index` (string | string[])*: Name of the index.
** *`connections` (Optional, { connections, query, vertices })*: Specifies or more fields from which you want to extract terms that are associated with the specified vertices.
** *`controls` (Optional, { sample_diversity, sample_size, timeout, use_significance })*: Direct the Graph API how to build the graph.
** *`query` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: A seed query that identifies the documents of interest. Can be any valid Elasticsearch query.
** *`vertices` (Optional, { exclude, field, include, min_doc_count, shard_min_doc_count, size }[])*: Specifies one or more fields that contain the terms you want to include in the graph as vertices.
** *`routing` (Optional, string)*: Custom value used to route operations to a specific shard.
** *`timeout` (Optional, string | -1 | 0)*: Specifies the period of time to wait for a response from each shard.
@ -5029,7 +5029,7 @@ Wildcard patterns that match both data streams and indices return an error.
** *`name` (string)*: Alias to update.
If the alias doesn’t exist, the request creates it.
** *`allow_no_indices` (Optional, boolean)*: If `false`, the request returns an error if any wildcard expression, index alias, or `_all` value targets only missing or closed indices.
This behavior applies even if the request targets other open indices.
** *`all_shards` (Optional, boolean)*: If `true`, the validation is executed on all shards instead of one random shard per index.
@ -6573,7 +6573,7 @@ client.ml.evaluateDataFrame({ evaluation, index })
* *Request (object):*
** *`evaluation` ({ classification, outlier_detection, regression })*: Defines the type of evaluation you want to perform.
** *`index` (string)*: Defines the `index` in which the evaluation will be performed.
** *`query` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: A query clause that retrieves a subset of data from the source index.
** *`query` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_grid, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: A query clause that retrieves a subset of data from the source index.
[discrete]
==== explain_data_frame_analytics
@ -6811,7 +6811,7 @@ be retrieved and then added to another cluster.
@ -7565,15 +7565,15 @@ The default value is either the bucket span for short bucket spans, or, for long
fraction of the bucket span. When `frequency` is shorter than the bucket span, interim results for the last
(partial) bucket are written then eventually overwritten by the full bucket results. If the datafeed uses
aggregations, this value must be divisible by the interval of the date histogram aggregation.
** *`indices` (Optional, string | string[])*: An array of index names. Wildcards are supported. If any of the indices are in remote clusters, the machine
learning nodes must have the `remote_cluster_client` role.
** *`indices` (Optional, string | string[])*: An array of index names. Wildcards are supported. If any of the indices are in remote clusters, the master
nodes and the machine learning nodes must have the `remote_cluster_client` role.
** *`indices_options` (Optional, { allow_no_indices, expand_wildcards, ignore_unavailable, ignore_throttled })*: Specifies index expansion options that are used during search
** *`job_id` (Optional, string)*: Identifier for the anomaly detection job.
** *`max_empty_searches` (Optional, number)*: If a real-time datafeed has never seen any data (including during any initial training period), it automatically
stops and closes the associated job after this many real-time searches return no documents. In other words,
it stops after `frequency` times `max_empty_searches` of real-time operation. If not set, a datafeed with no
end time that sees no data remains started until it is explicitly stopped. By default, it is not set.
** *`query` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: The Elasticsearch query domain-specific language (DSL). This value corresponds to the query object in an
** *`query` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_grid, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: The Elasticsearch query domain-specific language (DSL). This value corresponds to the query object in an
Elasticsearch search POST body. All the options that are supported by Elasticsearch can be used, as this
object is passed verbatim to Elasticsearch.
** *`query_delay` (Optional, string | -1 | 0)*: The number of seconds behind real time that data is queried. For example, if data from 10:04 a.m. might
@ -7680,7 +7680,7 @@ specified.
** *`definition` (Optional, { preprocessors, trained_model })*: The inference definition for the model. If definition is specified, then
compressed_definition cannot be specified.
** *`description` (Optional, string)*: A human-readable description of the inference trained model.
** *`inference_config` (Optional, { regression, classification, text_classification, zero_shot_classification, fill_mask, ner, pass_through, text_embedding, text_expansion, question_answering })*: The default configuration for inference. This can be either a regression
** *`inference_config` (Optional, { regression, classification, text_classification, zero_shot_classification, fill_mask, learning_to_rank, ner, pass_through, text_embedding, text_expansion, question_answering })*: The default configuration for inference. This can be either a regression
or classification configuration. It must match the underlying
definition.trained_model's target_type. For pre-packaged models such as
ELSER the config is not required.
@ -8120,7 +8120,7 @@ learning nodes must have the `remote_cluster_client` role.
stops and closes the associated job after this many real-time searches return no documents. In other words,
it stops after `frequency` times `max_empty_searches` of real-time operation. If not set, a datafeed with no
end time that sees no data remains started until it is explicitly stopped. By default, it is not set.
** *`query` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: The Elasticsearch query domain-specific language (DSL). This value corresponds to the query object in an
** *`query` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_grid, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, knn, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule, script, script_score, semantic, shape, simple_query_string, span_containing, span_field_masking, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, sparse_vector, term, terms, terms_set, text_expansion, weighted_tokens, wildcard, wrapper, type })*: The Elasticsearch query domain-specific language (DSL). This value corresponds to the query object in an
Elasticsearch search POST body. All the options that are supported by Elasticsearch can be used, as this
object is passed verbatim to Elasticsearch. Note that if you change the query, the analyzed data is also
changed. Therefore, the time required to learn might be long and the understandability of the results is
@ -8771,7 +8771,7 @@ client.rollup.rollupSearch({ index })
* *Request (object):*
** *`index` (string | string[])*: Enables searching rolled-up data using the standard Query DSL.
** *`size` (Optional, number)*: Must be zero if set, as rollups work on pre-aggregated data.
** *`rest_total_hits_as_int` (Optional, boolean)*: Indicates whether hits.total should be rendered as an integer or an object in the rest search response
** *`typed_keys` (Optional, boolean)*: Specify whether aggregation and suggester names should be prefixed by their respective types in the response
@ -10989,7 +10989,7 @@ client.sql.query({ ... })
If you specify a cursor, the API only uses the `columnar` and `time_zone` request body parameters.
It ignores other request body parameters.
** *`fetch_size` (Optional, number)*: The maximum number of rows (or entries) to return in one response
** *`search_after` (Optional, number | number | string | boolean | null | User-defined value[])*: Optional search After to do pagination using last hit’s sort values.
* Get datafeeds usage info. You can get statistics for multiple datafeeds in a single API request by using a comma-separated list of datafeeds or a wildcard expression. You can get statistics for all datafeeds by using `_all`, by specifying `*` as the `<feed_id>`, or by omitting the `<feed_id>`. If the datafeed is stopped, the only information you receive is the `datafeed_id` and the `state`. This API returns a maximum of 10,000 datafeeds.
* Get datafeeds stats. You can get statistics for multiple datafeeds in a single API request by using a comma-separated list of datafeeds or a wildcard expression. You can get statistics for all datafeeds by using `_all`, by specifying `*` as the `<feed_id>`, or by omitting the `<feed_id>`. If the datafeed is stopped, the only information you receive is the `datafeed_id` and the `state`. This API returns a maximum of 10,000 datafeeds.
* @see {@link https://www.elastic.co/guide/en/elasticsearch/reference/8.16/ml-get-datafeed-stats.html | Elasticsearch API documentation}
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