Class FuzzyQuery

Implements the fuzzy search query. The similarity measurement is based on the Levenshtein (edit distance) algorithm.

Warning: this query is not very scalable with its default prefix length of 0 - in this case, every term will be enumerated and cause an edit score calculation.

Inheritance

System.Object

Query

MultiTermQuery

FuzzyQuery

Inherited Members

MultiTermQuery.internalRewriteMethod

MultiTermQuery.CONSTANT_SCORE_FILTER_REWRITE

MultiTermQuery.SCORING_BOOLEAN_QUERY_REWRITE

MultiTermQuery.CONSTANT_SCORE_BOOLEAN_QUERY_REWRITE

MultiTermQuery.CONSTANT_SCORE_AUTO_REWRITE_DEFAULT

MultiTermQuery.TotalNumberOfTerms

MultiTermQuery.ClearTotalNumberOfTerms()

MultiTermQuery.IncTotalNumberOfTerms(Int32)

Query.Boost

Query.ToString()

Query.CreateWeight(Searcher)

Query.Weight(Searcher)

Query.Combine(Query[])

Query.ExtractTerms(Collections.Generic.ISet<Term>)

Query.MergeBooleanQueries(BooleanQuery[])

Query.GetSimilarity(Searcher)

Query.Clone()

Namespace:

Assembly: Lucene.Net.NetCore.dll

Syntax

public class FuzzyQuery : MultiTermQuery

Constructors

Name	Description
FuzzyQuery(Term)	Calls FuzzyQuery(Term, Single).
FuzzyQuery(Term, Single)	Calls FuzzyQuery(Term, Single).
FuzzyQuery(Term, Single, Int32)	Create a new FuzzyQuery that will match terms with a similarity of at least `minimumSimilarity` to `term`. If a `prefixLength` > 0 is specified, a common prefix of that length is also required.

Fields

Name	Description
defaultMinSimilarity
defaultPrefixLength

Properties

Name	Description
MinSimilarity	Returns the minimum similarity that is required for this query to match.
PrefixLength	Returns the non-fuzzy prefix length. This is the number of characters at the start of a term that must be identical (not fuzzy) to the query term if the query is to match that term.
RewriteMethod
Term	Returns the pattern term.

Methods

Name	Description
Equals(Object)
GetEnum(IndexReader)
GetHashCode()
Rewrite(IndexReader)
ToString(String)