Package org.apache.lucene.queries
Class BlendedTermQuery
java.lang.Object
org.apache.lucene.search.Query
org.apache.lucene.queries.BlendedTermQuery
public abstract class BlendedTermQuery
extends org.apache.lucene.search.Query
BlendedTermQuery can be used to unify term statistics across
 one or more fields in the index. A common problem with structured
 documents is that a term that is significant in on field might not be
 significant in other fields like in a scenario where documents represent
 users with a "first_name" and a "second_name". When someone searches
 for "simon" it will very likely get "paul simon" first since "simon" is a
 an uncommon last name ie. has a low document frequency. This query
 tries to "lie" about the global statistics like document frequency as well
 total term frequency to rank based on the estimated statistics.
 
 While aggregating the total term frequency is trivial since it
 can be summed up not every Similarity
 makes use of this statistic. The document frequency which is used in the
 ClassicSimilarity
 can only be estimated as an lower-bound since it is a document based statistic. For
 the document frequency the maximum frequency across all fields per term is used
 which is the minimum number of documents the terms occurs in.
 
- 
Constructor Summary
Constructors - 
Method Summary
Modifier and TypeMethodDescriptionprotected voidblend(org.apache.lucene.index.TermStates[] contexts, int maxDoc, org.apache.lucene.index.IndexReader reader)static BlendedTermQuerycommonTermsBlendedQuery(org.apache.lucene.index.Term[] terms, float[] boosts, float maxTermFrequency)Deprecated.Since max_score optimization landed in 7.0, normal MultiMatchQuery will achieve the same result without any configuration.static BlendedTermQuerydismaxBlendedQuery(org.apache.lucene.index.Term[] terms, float tieBreakerMultiplier)static BlendedTermQuerydismaxBlendedQuery(org.apache.lucene.index.Term[] terms, float[] boosts, float tieBreakerMultiplier)booleanList<org.apache.lucene.index.Term>getTerms()inthashCode()org.apache.lucene.search.Queryrewrite(org.apache.lucene.index.IndexReader reader)protected abstract org.apache.lucene.search.QuerytopLevelQuery(org.apache.lucene.index.Term[] terms, org.apache.lucene.index.TermStates[] ctx, int[] docFreqs, int maxDoc)voidvisit(org.apache.lucene.search.QueryVisitor visitor)Methods inherited from class org.apache.lucene.search.Query
classHash, createWeight, sameClassAs, toString 
- 
Constructor Details
- 
BlendedTermQuery
public BlendedTermQuery(org.apache.lucene.index.Term[] terms, float[] boosts) 
 - 
 - 
Method Details
- 
rewrite
public org.apache.lucene.search.Query rewrite(org.apache.lucene.index.IndexReader reader) throws IOException- Overrides:
 rewritein classorg.apache.lucene.search.Query- Throws:
 IOException
 - 
topLevelQuery
protected abstract org.apache.lucene.search.Query topLevelQuery(org.apache.lucene.index.Term[] terms, org.apache.lucene.index.TermStates[] ctx, int[] docFreqs, int maxDoc) - 
blend
protected void blend(org.apache.lucene.index.TermStates[] contexts, int maxDoc, org.apache.lucene.index.IndexReader reader) throws IOException- Throws:
 IOException
 - 
getTerms
 - 
toString
- Specified by:
 toStringin classorg.apache.lucene.search.Query
 - 
visit
public void visit(org.apache.lucene.search.QueryVisitor visitor)- Overrides:
 visitin classorg.apache.lucene.search.Query
 - 
equals
- Specified by:
 equalsin classorg.apache.lucene.search.Query
 - 
hashCode
public int hashCode()- Specified by:
 hashCodein classorg.apache.lucene.search.Query
 - 
commonTermsBlendedQuery
@Deprecated public static BlendedTermQuery commonTermsBlendedQuery(org.apache.lucene.index.Term[] terms, float[] boosts, float maxTermFrequency)Deprecated.Since max_score optimization landed in 7.0, normal MultiMatchQuery will achieve the same result without any configuration. - 
dismaxBlendedQuery
public static BlendedTermQuery dismaxBlendedQuery(org.apache.lucene.index.Term[] terms, float tieBreakerMultiplier) - 
dismaxBlendedQuery
public static BlendedTermQuery dismaxBlendedQuery(org.apache.lucene.index.Term[] terms, float[] boosts, float tieBreakerMultiplier) 
 -