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OpenSearch/docs/reference/query-dsl/special-queries.asciidoc

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Docs: Reorganised the Query DSL docs into families and explaing query vs filter context
2015-06-03 19:59:22 -04:00
[[specialized-queries]]
== Specialized queries
This group contains queries which do not fit into the other groups:
<<query-dsl-mlt-query,`more_like_this` query>>::
This query finds documents which are similar to the specified text, document,
or collection of documents.
<<query-dsl-script-query,`script` query>>::
This query allows a script to act as a filter. Also see the
<<query-dsl-function-score-query,`function_score` query>>.
Add link to script score query in the top level docs (#36416) * add link to script score query in the top level docs * Correct references in script-score-query.asciidoc
2018-12-19 10:18:53 -05:00
<<query-dsl-script-score-query,`script_score` query>>::
A query that allows to modify the score of a sub-query with a script.
percolator: renamed `percolator` query to `percolate` query
2016-04-19 09:59:09 -04:00
<<query-dsl-percolate-query,`percolate` query>>::
percolator: Replace percolate api with the new percolator query Also replaced the PercolatorQueryRegistry with the new PercolatorQueryCache. The PercolatorFieldMapper stores the rewritten form of each percolator query's xcontext in a binary doc values field. This make sure that the query rewrite happens only during indexing (some queries for example fetch shapes, terms in remote indices) and the speed up the loading of the queries in the percolator query cache. Because the percolator now works inside the search infrastructure a number of features (sorting fields, pagination, fetch features) are available out of the box. The following feature requests are automatically implemented via this refactoring: Closes #10741 Closes #7297 Closes #13176 Closes #13978 Closes #11264 Closes #10741 Closes #4317
2016-03-15 10:07:53 -04:00
This query finds queries that are stored as documents that match with
the specified document.
Docs: Reorganised the Query DSL docs into families and explaing query vs filter context
2015-06-03 19:59:22 -04:00
Rename feature, feature_vector and feature_query (#37794) Ranaming as follows: feature -> rank_feature feature_vector -> rank_features feature query -> rank_feature query Ranaming is done to distinguish from other vector types. Closes #36723
2019-01-24 19:18:48 -05:00
<<query-dsl-rank-feature-query,`rank_feature` query>>::
Expose Lucene's FeatureField. (#30618) Lucene has a new `FeatureField` which gives the ability to record numeric features as term frequencies. Its main benefit is that it allows to boost queries with the values of these features and efficiently skip non-competitive documents at the same time using block-max WAND and indexed impacts.
2018-05-23 02:55:21 -04:00
A query that computes scores based on the values of numeric features and is
able to efficiently skip non-competitive hits.
added docs for `wrapper` query. Closes #11591
2018-03-14 06:51:22 -04:00
<<query-dsl-wrapper-query,`wrapper` query>>::
A query that accepts other queries as json or yaml string.
Docs: Reorganised the Query DSL docs into families and explaing query vs filter context
2015-06-03 19:59:22 -04:00
include::mlt-query.asciidoc[]
include::script-query.asciidoc[]
Add link to script score query in the top level docs (#36416) * add link to script score query in the top level docs * Correct references in script-score-query.asciidoc
2018-12-19 10:18:53 -05:00
include::script-score-query.asciidoc[]
percolator: renamed `percolator` query to `percolate` query
2016-04-19 09:59:09 -04:00
include::percolate-query.asciidoc[]
percolator: Replace percolate api with the new percolator query Also replaced the PercolatorQueryRegistry with the new PercolatorQueryCache. The PercolatorFieldMapper stores the rewritten form of each percolator query's xcontext in a binary doc values field. This make sure that the query rewrite happens only during indexing (some queries for example fetch shapes, terms in remote indices) and the speed up the loading of the queries in the percolator query cache. Because the percolator now works inside the search infrastructure a number of features (sorting fields, pagination, fetch features) are available out of the box. The following feature requests are automatically implemented via this refactoring: Closes #10741 Closes #7297 Closes #13176 Closes #13978 Closes #11264 Closes #10741 Closes #4317
2016-03-15 10:07:53 -04:00
Rename feature, feature_vector and feature_query (#37794) Ranaming as follows: feature -> rank_feature feature_vector -> rank_features feature query -> rank_feature query Ranaming is done to distinguish from other vector types. Closes #36723
2019-01-24 19:18:48 -05:00
include::rank-feature-query.asciidoc[]
Expose Lucene's FeatureField. (#30618) Lucene has a new `FeatureField` which gives the ability to record numeric features as term frequencies. Its main benefit is that it allows to boost queries with the values of these features and efficiently skip non-competitive documents at the same time using block-max WAND and indexed impacts.
2018-05-23 02:55:21 -04:00
added docs for `wrapper` query. Closes #11591
2018-03-14 06:51:22 -04:00
include::wrapper-query.asciidoc[]