Class KnnFloatVectorQuery
- Direct Known Subclasses:
KnnVectorQuery
KnnVectorsReader.search(String, float[], KnnCollector, Bits)
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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Field Summary
Fields -
Constructor Summary
ConstructorsConstructorDescriptionKnnFloatVectorQuery
(String field, float[] target, int k) Find thek
nearest documents to the target vector according to the vectors in the given field.KnnFloatVectorQuery
(String field, float[] target, int k, Query filter) Find thek
nearest documents to the target vector according to the vectors in the given field. -
Method Summary
Modifier and TypeMethodDescriptionprotected TopDocs
approximateSearch
(LeafReaderContext context, Bits acceptDocs, int visitedLimit) boolean
Override and implement query instance equivalence properly in a subclass.protected TopDocs
exactSearch
(LeafReaderContext context, DocIdSetIterator acceptIterator) getField()
int
getK()
float[]
int
hashCode()
Override and implement query hash code properly in a subclass.protected TopDocs
mergeLeafResults
(TopDocs[] perLeafResults) Merges all segment-level kNN results to get the index-level kNN results.rewrite
(IndexSearcher indexSearcher) Expert: called to re-write queries into primitive queries.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, createWeight, rewrite, sameClassAs, toString
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Field Details
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field
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k
protected final int k
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Constructor Details
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KnnFloatVectorQuery
Find thek
nearest documents to the target vector according to the vectors in the given field.target
vector.- Parameters:
field
- a field that has been indexed as aKnnFloatVectorField
.target
- the target of the searchk
- the number of documents to find- Throws:
IllegalArgumentException
- ifk
is less than 1
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KnnFloatVectorQuery
Find thek
nearest documents to the target vector according to the vectors in the given field.target
vector.- Parameters:
field
- a field that has been indexed as aKnnFloatVectorField
.target
- the target of the searchk
- the number of documents to findfilter
- a filter applied before the vector search- Throws:
IllegalArgumentException
- ifk
is less than 1
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Method Details
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approximateSearch
protected TopDocs approximateSearch(LeafReaderContext context, Bits acceptDocs, int visitedLimit) throws IOException - 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. -
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.
- See Also:
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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.- See Also:
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getTargetCopy
public float[] getTargetCopy()- Returns:
- the target query vector of the search. Each vector element is a float.
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rewrite
Description copied from class:Query
Expert: called to re-write queries into primitive queries. For example, a PrefixQuery will be rewritten into a BooleanQuery that consists of TermQuerys.Callers are expected to call
rewrite
multiple times if necessary, until the rewritten query is the same as the original query.The rewrite process may be able to make use of IndexSearcher's executor and be executed in parallel if the executor is provided.
However, if any of the intermediary queries do not satisfy the new API, parallel rewrite is not possible for any subsequent sub-queries. To take advantage of this API, the entire query tree must override this method.
- Overrides:
rewrite
in classQuery
- Throws:
IOException
- See Also:
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exactSearch
protected TopDocs exactSearch(LeafReaderContext context, DocIdSetIterator acceptIterator) throws IOException - Throws:
IOException
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mergeLeafResults
Merges all segment-level kNN results to get the index-level kNN results.The default implementation delegates to
TopDocs.merge(int, TopDocs[])
to find the overall topk
, which requires input results to be sorted.This method is useful for reading and / or modifying the final results as needed.
- Parameters:
perLeafResults
- array of segment-level kNN results.- Returns:
- index-level kNN results (no constraint on their ordering).
- WARNING: This API is experimental and might change in incompatible ways in the next release.
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visit
Description copied from class:Query
Recurse through the query tree, visiting any child queries. -
getField
- Returns:
- the knn vector field where the knn vector search happens.
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getK
public int getK()- Returns:
- the max number of results the KnnVector search returns.
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getFilter
- Returns:
- the filter that is executed before the KnnVector search happens. Only the results accepted by this filter are returned by the KnnVector search.
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