| window.SIDEBAR_ITEMS = {"enum":[["EnableScoring","Argument used in `Query::weight(..)`"],["Occur","Defines whether a term in a query must be present, should be present or must not be present."],["QueryParserError","Possible error that may happen when parsing a query."]],"fn":[["intersect_scorers","Returns the intersection scorer."]],"struct":[["AllQuery","Query that matches all of the documents."],["AllScorer","Scorer associated with the `AllQuery` query."],["AllWeight","Weight associated with the `AllQuery` query."],["AutomatonWeight","A weight struct for Fuzzy Term and Regex Queries"],["BitSetDocSet","A `BitSetDocSet` makes it possible to iterate through a bitset as if it was a `DocSet`."],["BooleanQuery","The boolean query returns a set of documents that matches the Boolean combination of constituent subqueries."],["BoostQuery","`BoostQuery` is a wrapper over a query used to boost its score."],["ConstScoreQuery","`ConstScoreQuery` is a wrapper over a query to provide a constant score. It can avoid unnecessary score computation on the wrapped query."],["ConstScorer","Wraps a `DocSet` and simply returns a constant `Scorer`. The `ConstScorer` is useful if you have a `DocSet` where you needed a scorer."],["DisjunctionMaxCombiner","Take max score of different scorers and optionally sum it with other matches multiplied by `tie_breaker`"],["DisjunctionMaxQuery","The disjunction max query кeturns documents matching one or more wrapped queries, called query clauses or clauses."],["EmptyQuery","`EmptyQuery` is a dummy `Query` in which no document matches."],["EmptyScorer","`EmptyScorer` is a dummy `Scorer` in which no document matches."],["EmptyWeight","`EmptyWeight` is a dummy `Weight` in which no document matches."],["Exclude","Filters a given `DocSet` by removing the docs from a given `DocSet`."],["Explanation","Object describing the score of a given document. It is organized in trees."],["FuzzyTermQuery","A Fuzzy Query matches all of the documents containing a specific term that is within Levenshtein distance"],["Intersection","Creates a `DocSet` that iterate through the intersection of two or more `DocSet`s."],["MoreLikeThisQuery","A query that matches all of the documents similar to a document or a set of field values provided."],["MoreLikeThisQueryBuilder","The builder for more-like-this query"],["PhraseQuery","`PhraseQuery` matches a specific sequence of words."],["QueryParser","Tantivy’s Query parser"],["RangeQuery","`RangeQuery` matches all documents that have at least one term within a defined range."],["RegexQuery","A Regex Query matches all of the documents containing a specific term that matches a regex pattern."],["RequiredOptionalScorer","Given a required scorer and an optional scorer matches all document from the required scorer and complements the score using the optional scorer."],["SumCombiner","Sums the score of different scorers."],["SumWithCoordsCombiner","Sums the score of different scorers and keeps the count of scorers which matched."],["TermQuery","A Term query matches all of the documents containing a specific term."],["TermSetQuery","A Term Set Query matches all of the documents containing any of the Term provided"],["Union","Creates a `DocSet` that iterate through the union of two or more `DocSet`s."]],"trait":[["Query","The `Query` trait defines a set of documents and a scoring method for those documents."],["QueryClone","Implements `box_clone`."],["ScoreCombiner","The `ScoreCombiner` trait defines how to compute an overall score given a list of scores."],["Scorer","Scored set of documents matching a query within a specific segment."],["Weight","A Weight is the specialization of a `Query` for a given set of segments."]]}; |