Class SlowFuzzyQuery

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

Note that, unlike FuzzyQuery, this query will silently allow for a (possibly huge) number of edit distances in comparisons, and may be extremely slow (comparing every term in the index).

Inheritance
System.Object
Query
MultiTermQuery
SlowFuzzyQuery
Inherited Members
Lucene.Net.Search.Query.ExtractTerms(System.Collections.Generic.ISet<Lucene.Net.Index.Term>)
System.Object.Equals(System.Object, System.Object)
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.GetType()
System.Object.MemberwiseClone()
Assembly: Lucene.Net.Sandbox.dll
Syntax
[Obsolete("Use FuzzyQuery instead.")]
[Serializable]
public class SlowFuzzyQuery : MultiTermQuery

Constructors

Name Description
SlowFuzzyQuery(Term)

Calls SlowFuzzyQuery(Term, Single).
SlowFuzzyQuery(Term, Single)

Calls SlowFuzzyQuery(Term, Single).
SlowFuzzyQuery(Term, Single, Int32)

Calls SlowFuzzyQuery(Term, Single).
SlowFuzzyQuery(Term, Single, Int32, Int32)

Create a new SlowFuzzyQuery 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
defaultMaxExpansions
defaultMinSimilarity
defaultPrefixLength
m_term

Properties

Name Description
MinSimilarity

Gets the minimum similarity that is required for this query to match. Returns float value between 0.0 and 1.0.
PrefixLength

Gets 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.
Term

Gets the pattern term.

Methods

Name Description
Equals(Object)
GetHashCode()
GetTermsEnum(Terms, AttributeSource)
ToString(String)

Extension Methods