- All Implemented Interfaces:
Closeable,AutoCloseable
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Nested Class Summary
Nested classes/interfaces inherited from class org.apache.lucene.index.IndexReader
IndexReader.CacheHelper, IndexReader.CacheKey, IndexReader.ClosedListener -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionfinal voidChecks consistency of this reader.protected final voiddoClose()Implements close.final voiddocument(int docID, StoredFieldVisitor visitor) Expert: visits the fields of a stored document, for custom processing/loading of each field.final ByteVectorValuesgetByteVectorValues(String field) ReturnsByteVectorValuesfor this field, or null if noByteVectorValueswere indexed.final IndexReader.CacheHelperOptional method: Return aIndexReader.CacheHelperthat can be used to cache based on the content of this leaf regardless of deletions.final FloatVectorValuesgetFloatVectorValues(String field) ReturnsFloatVectorValuesfor this field, or null if noFloatVectorValueswere indexed.final BitsReturns theBitsrepresenting live (not deleted) docs.final LeafMetaDataReturn metadata about this leaf.final NumericDocValuesgetNormValues(String field) ReturnsNumericDocValuesrepresenting norms for this field, or null if noNumericDocValueswere indexed.final PointValuesgetPointValues(String field) Returns thePointValuesused for numeric or spatial searches for the given field, or null if there are no point fields.final IndexReader.CacheHelperOptional method: Return aIndexReader.CacheHelperthat can be used to cache based on the content of this reader.final FieldsgetTermVectors(int docID) Retrieve term vectors for this document, or null if term vectors were not indexed.final intmaxDoc()Returns one greater than the largest possible document number.final intnumDocs()Returns the number of documents in this index.voidsearchNearestVectors(String field, byte[] target, KnnCollector knnCollector, Bits acceptDocs) Return the k nearest neighbor documents as determined by comparison of their vector values for this field, to the given vector, by the field's similarity function.voidsearchNearestVectors(String field, float[] target, KnnCollector knnCollector, Bits acceptDocs) Return the k nearest neighbor documents as determined by comparison of their vector values for this field, to the given vector, by the field's similarity function.final StoredFieldsReturns aStoredFieldsreader for the stored fields of this index.final TermsReturns theTermsindex for this field, or null if it has none.final TermVectorsReturns aTermVectorsreader for the term vectors of this index.Methods inherited from class org.apache.lucene.index.LeafReader
docFreq, getBinaryDocValues, getContext, getDocCount, getFieldInfos, getNumericDocValues, getSortedDocValues, getSortedNumericDocValues, getSortedSetDocValues, getSumDocFreq, getSumTotalTermFreq, postings, postings, searchNearestVectors, searchNearestVectors, totalTermFreqMethods inherited from class org.apache.lucene.index.IndexReader
close, decRef, document, document, ensureOpen, equals, getRefCount, getTermVector, hasDeletions, hashCode, incRef, leaves, notifyReaderClosedListeners, numDeletedDocs, registerParentReader, tryIncRef
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Constructor Details
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DocValuesLeafReader
DocValuesLeafReader()
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Method Details
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getCoreCacheHelper
Description copied from class:LeafReaderOptional method: Return aIndexReader.CacheHelperthat can be used to cache based on the content of this leaf regardless of deletions. Two readers that have the same data but different sets of deleted documents or doc values updates may be considered equal. Consider usingIndexReader.getReaderCacheHelper()if you need deletions or dv updates to be taken into account.A return value of
nullindicates that this reader is not suited for caching, which is typically the case for short-lived wrappers that alter the content of the wrapped leaf reader.- Specified by:
getCoreCacheHelperin classLeafReader
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terms
Description copied from class:LeafReaderReturns theTermsindex for this field, or null if it has none.- Specified by:
termsin classLeafReader- Throws:
IOException
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getNormValues
Description copied from class:LeafReaderReturnsNumericDocValuesrepresenting norms for this field, or null if noNumericDocValueswere indexed. The returned instance should only be used by a single thread.- Specified by:
getNormValuesin classLeafReader- Throws:
IOException
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getLiveDocs
Description copied from class:LeafReaderReturns theBitsrepresenting live (not deleted) docs. A set bit indicates the doc ID has not been deleted. If this method returns null it means there are no deleted documents (all documents are live).The returned instance has been safely published for use by multiple threads without additional synchronization.
- Specified by:
getLiveDocsin classLeafReader
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getPointValues
Description copied from class:LeafReaderReturns thePointValuesused for numeric or spatial searches for the given field, or null if there are no point fields.- Specified by:
getPointValuesin classLeafReader- Throws:
IOException
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getFloatVectorValues
Description copied from class:LeafReaderReturnsFloatVectorValuesfor this field, or null if noFloatVectorValueswere indexed. The returned instance should only be used by a single thread.- Specified by:
getFloatVectorValuesin classLeafReader- Throws:
IOException
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getByteVectorValues
Description copied from class:LeafReaderReturnsByteVectorValuesfor this field, or null if noByteVectorValueswere indexed. The returned instance should only be used by a single thread.- Specified by:
getByteVectorValuesin classLeafReader- Throws:
IOException
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searchNearestVectors
public void searchNearestVectors(String field, float[] target, KnnCollector knnCollector, Bits acceptDocs) throws IOException Description copied from class:LeafReaderReturn the k nearest neighbor documents as determined by comparison of their vector values for this field, to the given vector, by the field's similarity function. The score of each document is derived from the vector similarity in a way that ensures scores are positive and that a larger score corresponds to a higher ranking.The search is allowed to be approximate, meaning the results are not guaranteed to be the true k closest neighbors. For large values of k (for example when k is close to the total number of documents), the search may also retrieve fewer than k documents.
The returned
TopDocswill contain aScoreDocfor each nearest neighbor, in order of their similarity to the query vector (decreasing scores). TheTotalHitscontains the number of documents visited during the search. If the search stopped early because it hitvisitedLimit, it is indicated through the relationTotalHits.Relation.GREATER_THAN_OR_EQUAL_TO.The behavior is undefined if the given field doesn't have KNN vectors enabled on its
FieldInfo. The return value is nevernull.- Specified by:
searchNearestVectorsin classLeafReader- Parameters:
field- the vector field to searchtarget- the vector-valued queryknnCollector- collector with settings for gathering the vector results.acceptDocs-Bitsthat represents the allowed documents to match, ornullif they are all allowed to match.- Throws:
IOException
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searchNearestVectors
public void searchNearestVectors(String field, byte[] target, KnnCollector knnCollector, Bits acceptDocs) throws IOException Description copied from class:LeafReaderReturn the k nearest neighbor documents as determined by comparison of their vector values for this field, to the given vector, by the field's similarity function. The score of each document is derived from the vector similarity in a way that ensures scores are positive and that a larger score corresponds to a higher ranking.The search is allowed to be approximate, meaning the results are not guaranteed to be the true k closest neighbors. For large values of k (for example when k is close to the total number of documents), the search may also retrieve fewer than k documents.
The returned
TopDocswill contain aScoreDocfor each nearest neighbor, in order of their similarity to the query vector (decreasing scores). TheTotalHitscontains the number of documents visited during the search. If the search stopped early because it hitvisitedLimit, it is indicated through the relationTotalHits.Relation.GREATER_THAN_OR_EQUAL_TO.The behavior is undefined if the given field doesn't have KNN vectors enabled on its
FieldInfo. The return value is nevernull.- Specified by:
searchNearestVectorsin classLeafReader- Parameters:
field- the vector field to searchtarget- the vector-valued queryknnCollector- collector with settings for gathering the vector results.acceptDocs-Bitsthat represents the allowed documents to match, ornullif they are all allowed to match.- Throws:
IOException
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checkIntegrity
Description copied from class:LeafReaderChecks consistency of this reader.Note that this may be costly in terms of I/O, e.g. may involve computing a checksum value against large data files.
- Specified by:
checkIntegrityin classLeafReader- Throws:
IOException
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getMetaData
Description copied from class:LeafReaderReturn metadata about this leaf.- Specified by:
getMetaDatain classLeafReader
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getTermVectors
Description copied from class:IndexReaderRetrieve term vectors for this document, or null if term vectors were not indexed. The returned Fields instance acts like a single-document inverted index (the docID will be 0).- Specified by:
getTermVectorsin classIndexReader- Throws:
IOException
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termVectors
Description copied from class:IndexReaderReturns aTermVectorsreader for the term vectors of this index.This call never returns
null, even if no term vectors were indexed. The returned instance should only be used by a single thread.Example:
TopDocs hits = searcher.search(query, 10); TermVectors termVectors = reader.termVectors(); for (ScoreDoc hit : hits.scoreDocs) { Fields vector = termVectors.get(hit.doc); }- Specified by:
termVectorsin classIndexReader- Throws:
IOException- If there is a low-level IO error
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numDocs
public final int numDocs()Description copied from class:IndexReaderReturns the number of documents in this index.NOTE: This operation may run in O(maxDoc). Implementations that can't return this number in constant-time should cache it.
- Specified by:
numDocsin classIndexReader
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maxDoc
public final int maxDoc()Description copied from class:IndexReaderReturns one greater than the largest possible document number. This may be used to, e.g., determine how big to allocate an array which will have an element for every document number in an index.- Specified by:
maxDocin classIndexReader
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document
Description copied from class:IndexReaderExpert: visits the fields of a stored document, for custom processing/loading of each field. If you simply want to load all fields, useIndexReader.document(int). If you want to load a subset, useDocumentStoredFieldVisitor.- Specified by:
documentin classIndexReader- Throws:
IOException
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storedFields
Description copied from class:IndexReaderReturns aStoredFieldsreader for the stored fields of this index.This call never returns
null, even if no stored fields were indexed. The returned instance should only be used by a single thread.Example:
TopDocs hits = searcher.search(query, 10); StoredFields storedFields = reader.storedFields(); for (ScoreDoc hit : hits.scoreDocs) { Document doc = storedFields.document(hit.doc); }- Specified by:
storedFieldsin classIndexReader- Throws:
IOException- If there is a low-level IO error
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doClose
Description copied from class:IndexReaderImplements close.- Specified by:
doClosein classIndexReader- Throws:
IOException
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getReaderCacheHelper
Description copied from class:IndexReaderOptional method: Return aIndexReader.CacheHelperthat can be used to cache based on the content of this reader. Two readers that have different data or different sets of deleted documents will be considered different.A return value of
nullindicates that this reader is not suited for caching, which is typically the case for short-lived wrappers that alter the content of the wrapped reader.- Specified by:
getReaderCacheHelperin classIndexReader
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