Package org.apache.lucene.search
Class KnnVectorQuery
java.lang.Object
org.apache.lucene.search.Query
org.apache.lucene.search.KnnVectorQuery
Uses
KnnVectorsReader.search(java.lang.String, float[], int, org.apache.lucene.util.Bits, int) to perform nearest neighbour search.
This query also allows for performing a kNN search subject to a filter. In this case, it first executes the filter for each leaf, then chooses a strategy dynamically:
- If the filter cost is less than k, just execute an exact search
- Otherwise run a kNN search subject to the filter
- If the kNN search visits too many vectors without completing, stop and run an exact search
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Constructor Summary
ConstructorsConstructorDescriptionKnnVectorQuery(String field, float[] target, int k) Find theknearest documents to the target vector according to the vectors in the given field.KnnVectorQuery(String field, float[] target, int k, Query filter) Find theknearest documents to the target vector according to the vectors in the given field. -
Method Summary
Modifier and TypeMethodDescriptionbooleanOverride and implement query instance equivalence properly in a subclass.protected TopDocsexactSearch(LeafReaderContext context, DocIdSetIterator acceptIterator) inthashCode()Override and implement query hash code properly in a subclass.rewrite(IndexReader reader) Expert: called to re-write queries into primitive queries.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 queriesMethods inherited from class org.apache.lucene.search.Query
classHash, createWeight, sameClassAs, toString
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Constructor Details
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KnnVectorQuery
Find theknearest documents to the target vector according to the vectors in the given field.targetvector.- Parameters:
field- a field that has been indexed as aKnnVectorField.target- the target of the searchk- the number of documents to find- Throws:
IllegalArgumentException- ifkis less than 1
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KnnVectorQuery
Find theknearest documents to the target vector according to the vectors in the given field.targetvector.- Parameters:
field- a field that has been indexed as aKnnVectorField.target- the target of the searchk- the number of documents to findfilter- a filter applied before the vector search- Throws:
IllegalArgumentException- ifkis less than 1
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Method Details
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rewrite
Description copied from class:QueryExpert: called to re-write queries into primitive queries. For example, a PrefixQuery will be rewritten into a BooleanQuery that consists of TermQuerys.- Overrides:
rewritein classQuery- Throws:
IOException
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exactSearch
protected TopDocs exactSearch(LeafReaderContext context, DocIdSetIterator acceptIterator) throws IOException - 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 that 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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