Module org.apache.lucene.core
Package org.apache.lucene.search
Class AbstractKnnVectorQuery.DocAndScoreQuery
java.lang.Object
org.apache.lucene.search.Query
org.apache.lucene.search.AbstractKnnVectorQuery.DocAndScoreQuery
- Enclosing class:
AbstractKnnVectorQuery
Caches the results of a KnnVector search: a list of docs and their scores
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Field Summary
FieldsModifier and TypeFieldDescriptionprivate final Object
private final int[]
private final float
private final float[]
private final int[]
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Constructor Summary
ConstructorsConstructorDescriptionDocAndScoreQuery
(int[] docs, float[] scores, float maxScore, int[] segmentStarts, Object contextIdentity) Constructor -
Method Summary
Modifier and TypeMethodDescriptioncreateWeight
(IndexSearcher searcher, ScoreMode scoreMode, float boost) Expert: Constructs an appropriate Weight implementation for this query.boolean
Override and implement query instance equivalence properly in a subclass.int
hashCode()
Override and implement query hash code properly in a subclass.Prints a query to a string, withfield
assumed to be the default field and omitted.void
visit
(QueryVisitor visitor) Recurse through the query tree, visiting any child queries.Methods inherited from class org.apache.lucene.search.Query
classHash, rewrite, sameClassAs, toString
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Field Details
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docs
private final int[] docs -
scores
private final float[] scores -
maxScore
private final float maxScore -
segmentStarts
private final int[] segmentStarts -
contextIdentity
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Constructor Details
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DocAndScoreQuery
DocAndScoreQuery(int[] docs, float[] scores, float maxScore, int[] segmentStarts, Object contextIdentity) Constructor- Parameters:
docs
- the global docids of documents that match, in ascending orderscores
- the scores of the matching documentssegmentStarts
- the indexes in docs and scores corresponding to the first matching document in each segment. If a segment has no matching documents, it should be assigned the index of the next segment that does. There should be a final entry that is always docs.length-1.contextIdentity
- an object identifying the reader context that was used to build this query
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Method Details
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createWeight
public Weight createWeight(IndexSearcher searcher, ScoreMode scoreMode, float boost) throws IOException Description copied from class:Query
Expert: Constructs an appropriate Weight implementation for this query.Only implemented by primitive queries, which re-write to themselves.
- Overrides:
createWeight
in classQuery
- Parameters:
scoreMode
- How the produced scorers will be consumed.boost
- The boost that is propagated by the parent queries.- Throws:
IOException
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toString
Description copied from class:Query
Prints a query to a string, withfield
assumed to be the default field and omitted. -
visit
Description copied from class:Query
Recurse through the query tree, visiting any child queries. -
equals
Description copied from class:Query
Override and implement query instance equivalence properly in a subclass. This is required so thatQueryCache
works properly.Typically a query will be equal to another only if it's an instance of the same class and its document-filtering properties are identical to those of the other instance. Utility methods are provided for certain repetitive code.
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hashCode
public int hashCode()Description copied from class:Query
Override and implement query hash code properly in a subclass. This is required so thatQueryCache
works properly.
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