- 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
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionfinal void
Checks consistency of this reader.protected final void
doClose()
Implements close.final void
document
(int docID, StoredFieldVisitor visitor) Expert: visits the fields of a stored document, for custom processing/loading of each field.final ByteVectorValues
getByteVectorValues
(String field) ReturnsByteVectorValues
for this field, or null if noByteVectorValues
were indexed.final IndexReader.CacheHelper
Optional method: Return aIndexReader.CacheHelper
that can be used to cache based on the content of this leaf regardless of deletions.final FloatVectorValues
getFloatVectorValues
(String field) ReturnsFloatVectorValues
for this field, or null if noFloatVectorValues
were indexed.final Bits
Returns theBits
representing live (not deleted) docs.final LeafMetaData
Return metadata about this leaf.final NumericDocValues
getNormValues
(String field) ReturnsNumericDocValues
representing norms for this field, or null if noNumericDocValues
were indexed.final PointValues
getPointValues
(String field) Returns thePointValues
used for numeric or spatial searches for the given field, or null if there are no point fields.final IndexReader.CacheHelper
Optional method: Return aIndexReader.CacheHelper
that can be used to cache based on the content of this reader.final Fields
getTermVectors
(int docID) Retrieve term vectors for this document, or null if term vectors were not indexed.final int
maxDoc()
Returns one greater than the largest possible document number.final int
numDocs()
Returns the number of documents in this index.void
searchNearestVectors
(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.void
searchNearestVectors
(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 StoredFields
Returns aStoredFields
reader for the stored fields of this index.final Terms
Returns theTerms
index for this field, or null if it has none.final TermVectors
Returns aTermVectors
reader 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, totalTermFreq
Methods 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:LeafReader
Optional method: Return aIndexReader.CacheHelper
that 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
null
indicates 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:
getCoreCacheHelper
in classLeafReader
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terms
Description copied from class:LeafReader
Returns theTerms
index for this field, or null if it has none.- Specified by:
terms
in classLeafReader
- Throws:
IOException
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getNormValues
Description copied from class:LeafReader
ReturnsNumericDocValues
representing norms for this field, or null if noNumericDocValues
were indexed. The returned instance should only be used by a single thread.- Specified by:
getNormValues
in classLeafReader
- Throws:
IOException
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getLiveDocs
Description copied from class:LeafReader
Returns theBits
representing 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:
getLiveDocs
in classLeafReader
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getPointValues
Description copied from class:LeafReader
Returns thePointValues
used for numeric or spatial searches for the given field, or null if there are no point fields.- Specified by:
getPointValues
in classLeafReader
- Throws:
IOException
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getFloatVectorValues
Description copied from class:LeafReader
ReturnsFloatVectorValues
for this field, or null if noFloatVectorValues
were indexed. The returned instance should only be used by a single thread.- Specified by:
getFloatVectorValues
in classLeafReader
- Throws:
IOException
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getByteVectorValues
Description copied from class:LeafReader
ReturnsByteVectorValues
for this field, or null if noByteVectorValues
were indexed. The returned instance should only be used by a single thread.- Specified by:
getByteVectorValues
in 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:LeafReader
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. 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
TopDocs
will contain aScoreDoc
for each nearest neighbor, in order of their similarity to the query vector (decreasing scores). TheTotalHits
contains 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:
searchNearestVectors
in classLeafReader
- Parameters:
field
- the vector field to searchtarget
- the vector-valued queryknnCollector
- collector with settings for gathering the vector results.acceptDocs
-Bits
that represents the allowed documents to match, ornull
if 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:LeafReader
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. 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
TopDocs
will contain aScoreDoc
for each nearest neighbor, in order of their similarity to the query vector (decreasing scores). TheTotalHits
contains 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:
searchNearestVectors
in classLeafReader
- Parameters:
field
- the vector field to searchtarget
- the vector-valued queryknnCollector
- collector with settings for gathering the vector results.acceptDocs
-Bits
that represents the allowed documents to match, ornull
if they are all allowed to match.- Throws:
IOException
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checkIntegrity
Description copied from class:LeafReader
Checks 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:
checkIntegrity
in classLeafReader
- Throws:
IOException
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getMetaData
Description copied from class:LeafReader
Return metadata about this leaf.- Specified by:
getMetaData
in classLeafReader
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getTermVectors
Description copied from class:IndexReader
Retrieve 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:
getTermVectors
in classIndexReader
- Throws:
IOException
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termVectors
Description copied from class:IndexReader
Returns aTermVectors
reader 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:
termVectors
in classIndexReader
- Throws:
IOException
- If there is a low-level IO error
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numDocs
public final int numDocs()Description copied from class:IndexReader
Returns 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:
numDocs
in classIndexReader
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maxDoc
public final int maxDoc()Description copied from class:IndexReader
Returns 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:
maxDoc
in classIndexReader
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document
Description copied from class:IndexReader
Expert: 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:
document
in classIndexReader
- Throws:
IOException
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storedFields
Description copied from class:IndexReader
Returns aStoredFields
reader 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:
storedFields
in classIndexReader
- Throws:
IOException
- If there is a low-level IO error
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doClose
Description copied from class:IndexReader
Implements close.- Specified by:
doClose
in classIndexReader
- Throws:
IOException
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getReaderCacheHelper
Description copied from class:IndexReader
Optional method: Return aIndexReader.CacheHelper
that 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
null
indicates 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:
getReaderCacheHelper
in classIndexReader
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