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 Objectprivate final int[]private final intprivate final float[]private final int[] -
Constructor Summary
ConstructorsConstructorDescriptionDocAndScoreQuery(int k, int[] docs, float[] scores, 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.booleanOverride and implement query instance equivalence properly in a subclass.inthashCode()Override and implement query hash code properly in a subclass.Prints a query to a string, withfieldassumed to be the default field and omitted.voidvisit(QueryVisitor visitor) Recurse through the query tree, visiting any child queries.
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Field Details
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k
private final int k -
docs
private final int[] docs -
scores
private final float[] scores -
segmentStarts
private final int[] segmentStarts -
contextIdentity
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Constructor Details
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DocAndScoreQuery
DocAndScoreQuery(int k, int[] docs, float[] scores, int[] segmentStarts, Object contextIdentity) Constructor- Parameters:
k- the number of documents requesteddocs- 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:QueryExpert: Constructs an appropriate Weight implementation for this query.Only implemented by primitive queries, which re-write to themselves.
- Overrides:
createWeightin 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:QueryPrints a query to a string, withfieldassumed to be the default field and omitted. -
visit
Description copied from class:QueryRecurse through the query tree, visiting any child queries. -
equals
Description copied from class:QueryOverride and implement query instance equivalence properly in a subclass. This is required so thatQueryCacheworks 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:QueryOverride and implement query hash code properly in a subclass. This is required so thatQueryCacheworks properly.
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