Auto-generated API code

Author: elasticmachine

docs/reference.asciidoc

@@ -1729,7 +1729,7 @@ client.search({ ... })
 ** *`docvalue_fields` (Optional, { field, format, include_unmapped }[])*: An array of wildcard (`*`) field patterns. The request returns doc values for field names matching these patterns in the `hits.fields` property of the response.
 ** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity, inner_hits, rescore_vector } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity, inner_hits, rescore_vector }[])*: The approximate kNN search to run.
 ** *`rank` (Optional, { rrf })*: The Reciprocal Rank Fusion (RRF) to use.
-** *`min_score` (Optional, number)*: The minimum `_score` for matching documents. Documents with a lower `_score` are not included in the search results.
+** *`min_score` (Optional, number)*: The minimum `_score` for matching documents. Documents with a lower `_score` are not included in search results and results collected by aggregations.
 ** *`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.
 ** *`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 search definition using the Query DSL.
@@ -2425,7 +2425,7 @@ Defaults to 10,000 hits.
 names matching these patterns in the hits.fields property of the response.
 ** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity, inner_hits, rescore_vector } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity, inner_hits, rescore_vector }[])*: Defines the approximate kNN search to run.
 ** *`min_score` (Optional, number)*: Minimum _score for matching documents. Documents with a lower _score are
-not included in the search results.
+not included in search results and results collected by aggregations.
 ** *`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 })*
 ** *`profile` (Optional, boolean)*
 ** *`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 })*: Defines the search definition using the Query DSL.
@@ -5371,7 +5371,7 @@ Defaults to 10,000 hits.
 ** *`docvalue_fields` (Optional, { field, format, include_unmapped }[])*: Array of wildcard (*) patterns. The request returns doc values for field
 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
-not included in the search results.
+not included in search results and results collected by aggregations.
 ** *`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 })*
 ** *`profile` (Optional, boolean)*
 ** *`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 })*: Defines the search definition using the Query DSL.
@@ -16421,7 +16421,10 @@ To indicate that the request should never timeout, set it to `-1`.
 Update Watcher index settings.
 Update settings for the Watcher internal index (`.watches`).
 Only a subset of settings can be modified.
-This includes `index.auto_expand_replicas` and `index.number_of_replicas`.
+This includes `index.auto_expand_replicas`, `index.number_of_replicas`, `index.routing.allocation.exclude.*`,
+`index.routing.allocation.include.*` and `index.routing.allocation.require.*`.
+Modification of `index.routing.allocation.include._tier_preference` is an exception and is not allowed as the
+Watcher shards must always be in the `data_content` tier.
 
 https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-watcher-update-settings[Endpoint documentation]
 [source,ts]

src/api/api/watcher.ts

@@ -481,7 +481,7 @@ export default class Watcher {
   }
 
   /**
-    * Update Watcher index settings. Update settings for the Watcher internal index (`.watches`). Only a subset of settings can be modified. This includes `index.auto_expand_replicas` and `index.number_of_replicas`.
+    * Update Watcher index settings. Update settings for the Watcher internal index (`.watches`). Only a subset of settings can be modified. This includes `index.auto_expand_replicas`, `index.number_of_replicas`, `index.routing.allocation.exclude.*`, `index.routing.allocation.include.*` and `index.routing.allocation.require.*`. Modification of `index.routing.allocation.include._tier_preference` is an exception and is not allowed as the Watcher shards must always be in the `data_content` tier.
     * @see {@link https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-watcher-update-settings | Elasticsearch API documentation}
     */
   async updateSettings (this: That, params?: T.WatcherUpdateSettingsRequest | TB.WatcherUpdateSettingsRequest, options?: TransportRequestOptionsWithOutMeta): Promise<T.WatcherUpdateSettingsResponse>

src/api/types.ts

@@ -5391,7 +5391,7 @@ export interface MappingDenseVectorIndexOptions {
   type: MappingDenseVectorIndexOptionsType
 }
 
-export type MappingDenseVectorIndexOptionsType = 'flat' | 'hnsw' | 'int4_flat' | 'int4_hnsw' | 'int8_flat' | 'int8_hnsw'
+export type MappingDenseVectorIndexOptionsType = 'bbq_flat' | 'bbq_hnsw' | 'flat' | 'hnsw' | 'int4_flat' | 'int4_hnsw' | 'int8_flat' | 'int8_hnsw'
 
 export interface MappingDenseVectorProperty extends MappingPropertyBase {
   type: 'dense_vector'

src/api/typesWithBodyKey.ts

@@ -5468,7 +5468,7 @@ export interface MappingDenseVectorIndexOptions {
   type: MappingDenseVectorIndexOptionsType
 }
 
-export type MappingDenseVectorIndexOptionsType = 'flat' | 'hnsw' | 'int4_flat' | 'int4_hnsw' | 'int8_flat' | 'int8_hnsw'
+export type MappingDenseVectorIndexOptionsType = 'bbq_flat' | 'bbq_hnsw' | 'flat' | 'hnsw' | 'int4_flat' | 'int4_hnsw' | 'int8_flat' | 'int8_hnsw'
 
 export interface MappingDenseVectorProperty extends MappingPropertyBase {
   type: 'dense_vector'