All Classes and Interfaces
Class
Description
Abstract parent class for analysis factories
TokenizerFactory, TokenFilterFactory
and CharFilterFactory.SmartChineseAnalyzer abstract dictionary implementation.
Base class for payload encoders.
Simplifies the implementation of iterators a bit.
AbstractKnnCollector is the default implementation for a knn collector used for gathering kNN
results and providing topDocs from the gathered neighbors
Uses
KnnVectorsReader.search(java.lang.String, float[], org.apache.lucene.search.KnnCollector, org.apache.lucene.util.Bits) to perform nearest neighbour search.Caches the results of a KnnVector search: a list of docs and their scores
Contains functionality common to both
MultiTermQueryConstantScoreBlendedWrapper and
MultiTermQueryConstantScoreWrapper.Base implementation for
PagedMutable and PagedGrowableWriter.This class is the base of
QueryConfigHandler and FieldConfig.This class should be extended by nodes intending to represent range queries.
Base class for SSDV faceting implementations.
Intermediate result to store top children for a given path before resolving labels, etc.
Search for all (approximate) vectors above a similarity threshold.
Abstract parent class for analysis factories that accept a stopwords file as input.
An object whose RAM usage can be computed.
Helper methods for constructing nested resource descriptions and debugging RAM usage.
Checks the "condition" part of affix definition, as in
An object representing the analysis result of a simple (non-compound) word
An object representing a prefix or a suffix applied to a word stem
Node that represents
Intervals.after(IntervalsSource, IntervalsSource).This class acts as the base class for the implementations of the first normalization of the
informative content in the DFR framework.
Model of the information gain based on the ratio of two Bernoulli processes.
Model of the information gain based on Laplace's law of succession.
This collector specializes in collecting the most relevant document (group head) for each group
that matches the query.
Represents a group head.
Specialized implementation for sorting by score
General implementation using a
FieldComparator to select the group headA collector that collects all groups that match the query.
This processor verifies if
StandardQueryConfigHandler.ConfigurationKeys.ALLOW_LEADING_WILDCARD is defined in the
QueryConfigHandler.This exception is thrown when there is an attempt to access something that has already been
closed.
Internal class used by Snowball stemmers
Provides a base class for analysis based offset strategies to extend from.
Wraps an
Analyzer and string text that represents multiple values delimited by a
specified character.Helper class for loading named SPIs from classpath (e.g.
Node that represents
Intervals.analyzedText(String, Analyzer, String, int, boolean).An Analyzer builds TokenStreams, which analyze text.
Strategy defining how TokenStreamComponents are reused per call to
Analyzer.tokenStream(String, java.io.Reader).This class encapsulates the outer components of a token stream.
Manages analysis data configuration for SmartChineseAnalyzer
This processor verifies if
StandardQueryConfigHandler.ConfigurationKeys.ANALYZER is defined in the QueryConfigHandler.Extension to
Analyzer suitable for Analyzers which wrap other Analyzers.Analyzes the input text and then suggests matches based on prefix matches to any tokens in the
indexed text.
Suggester that first analyzes the surface form, adds the analyzed form to a weighted FST, and
then does the same thing at lookup time.
Factory for conjunctions
A
AndQueryNode represents an AND boolean operation performed on a list of nodes.A
AnyQueryNode represents an ANY operator performed on a list of nodes.Builds a BooleanQuery of SHOULD clauses, possibly with some minimum number to match.
Strips all characters after an apostrophe (including the apostrophe itself).
Factory for
ApostropheFilter.An approximate priority queue, which attempts to poll items by decreasing log of the weight,
though exact ordering is not guaranteed.
Analyzer for Arabic.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies ArabicNormalizer to normalize the orthography.Factory for
ArabicNormalizationFilter.Normalizer for Arabic.
A
TokenFilter that applies ArabicStemmer to stem Arabic words..Factory for
ArabicStemFilter.Stemmer for Arabic.
This class implements the stemming algorithm defined by a snowball script.
Arc distance computation style.
Analyzer for Armenian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
An
InPlaceMergeSorter for object arrays.An
IntroSorter for object arrays.A
TimSorter for object arrays.Methods for manipulating arrays.
Comparator for a fixed number of bytes.
This class converts alphabetic, numeric, and symbolic Unicode characters which are not in the
first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if one
exists.
Factory for
ASCIIFoldingFilter.Specify aggregation logic used in
TaxonomyFacetIntAssociations and TaxonomyFacetFloatAssociations.Add an instance of this to your
Document to add a facet label associated with an
arbitrary byte[].Node that represents
Intervals.atLeast(int, IntervalsSource...).Base interface for attributes.
An AttributeFactory creates instances of
AttributeImpls.Expert: AttributeFactory returning an instance of the given
clazz for the
attributes it implements.Base class for Attributes that can be added to a
AttributeSource.This interface is used to reflect contents of
AttributeSource or AttributeImpl.An AttributeSource contains a list of different
AttributeImpls, and methods to add and
get them.This class holds the state of an AttributeSource.
Construction of basic automata.
Represents an automaton and all its states and transitions.
Records new states and transitions and then
Automaton.Builder.finish() creates the Automaton.Automaton provider for
RegExp. RegExp.toAutomaton(AutomatonProvider,int)A
Query that will match terms against a finite-state machine.A FilteredTermsEnum that enumerates terms based upon what is accepted by a DFA.
Converts an Automaton into a TokenStream.
Edge between position nodes.
Node that contains original node id and position in TokenStream
Token Stream that outputs tokens from a topo sorted graph.
Calculate the final score as the average score of all payloads seen.
Axiomatic approaches for IR.
F1EXP is defined as Sum(tf(term_doc_freq)*ln(docLen)*IDF(term)) where IDF(t) = pow((N+1)/df(t),
k) N=total num of docs, df=doc freq
F1LOG is defined as Sum(tf(term_doc_freq)*ln(docLen)*IDF(term)) where IDF(t) = ln((N+1)/df(t))
N=total num of docs, df=doc freq
F2EXP is defined as Sum(tfln(term_doc_freq, docLen)*IDF(term)) where IDF(t) = pow((N+1)/df(t), k)
N=total num of docs, df=doc freq
F2EXP is defined as Sum(tfln(term_doc_freq, docLen)*IDF(term)) where IDF(t) = ln((N+1)/df(t))
N=total num of docs, df=doc freq
F3EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen)) where IDF(t) =
pow((N+1)/df(t), k) N=total num of docs, df=doc freq gamma(docLen, queryLen) =
(docLen-queryLen)*queryLen*s/avdl NOTE: the gamma function of this similarity creates negative
scores
F3EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen)) where IDF(t) =
ln((N+1)/df(t)) N=total num of docs, df=doc freq gamma(docLen, queryLen) =
(docLen-queryLen)*queryLen*s/avdl NOTE: the gamma function of this similarity creates negative
scores
Deprecated.
Only here for back-compat support.
Base utility class for implementing a
CharFilter.Base class for implementing
CompositeReaders based on an array of sub-readers.Base implementation for a concrete
Directory that uses a LockFactory for locking.Attribute for
Token.getBaseForm().Attribute for
Token.getBaseForm().A abstract implementation of
FragListBuilder.Base FragmentsBuilder implementation that supports colored pre/post tags and multivalued fields.
All Geo3D shapes can derive from this base class, which furnishes some common code
Base query class for ShapeDocValues queries.
A base TermsEnum that adds default implementations for
BaseTermsEnum.attributes()
BaseTermsEnum.termState()
BaseTermsEnum.seekExact(BytesRef)
BaseTermsEnum.seekExact(BytesRef, TermState)
In some cases, the default implementation may be slow and consume huge memory, so subclass SHOULD
have its own implementation if possible.Base class of a family of 3D rectangles, bounded on six sides by X,Y,Z limits
This class acts as the base class for the specific basic model implementations in the
DFR framework.
Geometric as limiting form of the Bose-Einstein model.
An approximation of the I(ne) model.
The basic tf-idf model of randomness.
Tf-idf model of randomness, based on a mixture of Poisson and inverse document frequency.
Factory for creating basic term queries
Stores all statistics commonly used ranking methods.
Analyzer for Basque.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
Node that represents
Intervals.before(IntervalsSource, IntervalsSource).TokenFilter for Beider-Morse phonetic encoding.
Factory for
BeiderMorseFilter.Analyzer for Bengali.
Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies BengaliNormalizer to normalize the orthography.Factory for
BengaliNormalizationFilter.Normalizer for Bengali.
A
TokenFilter that applies BengaliStemmer to stem Bengali words.Factory for
BengaliStemFilter.Stemmer for Bengali.
An indexed 128-bit
BigInteger field.SmartChineseAnalyzer Bigram dictionary.
Base class for a binary-encoded in-memory dictionary.
Base class for a binary-encoded in-memory dictionary.
Deprecated, for removal: This API element is subject to removal in a future version.
Deprecated, for removal: This API element is subject to removal in a future version.
A per-document numeric value.
Select documents using binary doc values
Field that stores a per-document
BytesRef value.A
DocValuesFieldUpdates which holds updates of documents, of a single BinaryDocValuesField.Buffers up pending byte[] per doc, then flushes when segment flushes.
An indexed binary field for fast range filters.
A binary representation of a range that wraps a BinaryDocValues field
Binds variable names in expressions to actual data.
Graph representing possible token pairs (bigrams) at each start offset in the sentence.
Bit mixing utilities.
Interface for Bitset-like structures.
Bits impl of the specified length with all bits set.
Bits impl of the specified length with no bits set.
Base implementation for a bit set.
A
DocIdSetIterator which iterates over set bits in a bit set.A producer of
BitSets per segment.A producer of
Bits per segment.Exposes a slice of an existing Bits as a new Bits.
Static helper methods for
FST.Arc.BitTable.A variety of high efficiency bit twiddling routines and encoders for primitives.
Basic parameters for indexing points on the BKD tree.
Offline Radix selector for BKD tree.
Sliced reference to points in an PointWriter.
Handles reading a block KD-tree in byte[] space previously written with
BKDWriter.Reusable
DocIdSetIterator to handle low cardinality leaves.Utility functions to build BKD trees.
Predicate for a fixed number of bytes.
Recursively builds a block KD-tree to assign all incoming points in N-dim space to smaller and
smaller N-dim rectangles (cells) until the number of points in a given rectangle is <=
config.maxPointsInLeafNode.flat representation of a kd-tree
Extension of the AnalyzingInfixSuggester which transforms the weight after search to take into
account the position of the searched term into the indexed text.
The different types of blender.
A
Query that blends index statistics across multiple terms.A Builder for
BlendedTermQuery.A
BlendedTermQuery.RewriteMethod that creates a DisjunctionMaxQuery out of the sub queries.A
BlendedTermQuery.RewriteMethod defines how queries for individual terms should be merged.Decodes the raw bytes of a block when the index is read, according to the
BlockEncoder
used during the writing of the index.Encodes the raw bytes of a block when the index is written.
Writable byte buffer.
BlockGroupingCollector performs grouping with a single pass collector, as long as you are
grouping by a doc block field, ie all documents sharing a given group value were indexed as a doc
block using the atomic
IndexWriter.addDocuments() or IndexWriter.updateDocuments() API.Block header containing block metadata.
Reads/writes block header.
A blocking bounded min heap that stores floats.
Select a value from a block of documents.
Type of selection to perform.
One term block line.
Reads/writes block lines with terms encoded incrementally inside a block.
BulkScorer implementation of
BlockMaxConjunctionScorer that focuses on top-level
conjunctions over clauses that do not have two-phase iterators.Scorer for conjunctions that checks the maximum scores of each clause in order to potentially
skip over blocks that can't have competitive matches.
Reader for sequences of longs written with
BlockPackedWriter.A writer for large sequences of longs.
Seeks the block corresponding to a given term, read the block bytes, and scans the block terms.
Handles a terms dict, but decouples all details of doc/freqs/positions reading to an instance of
PostingsReaderBase.Holds all state required for
PostingsReaderBase to produce a PostingsEnum without re-seeking the terms dict.Writes terms dict, block-encoding (column stride) each term's metadata for each set of terms
between two index terms.
Uses
OrdsBlockTreeTermsWriter with Lucene912PostingsWriter.Writes blocks in the block file.
Class used to create index-time
FuzzySet appropriately configured for each field.A
PostingsFormat useful for low doc-frequency fields such as primary keys.A classifier approximating naive bayes classifier by using pure queries on BM25.
BM25 Similarity.
Collection statistics for the BM25 model.
Abstract
FunctionValues implementation which supports retrieving boolean values.A clause in a BooleanQuery.
Specifies how clauses are to occur in matching documents.
A
BooleanModifierNode has the same behaviour as ModifierQueryNode, it only
indicates that this modifier was added by BooleanQuery2ModifierNodeProcessor and not by
the user.This processor is used to apply the correct
ModifierQueryNode to BooleanQueryNodes children.A Query that matches documents matching boolean combinations of other queries, e.g.
A builder for boolean queries.
Deprecated.
This processor is used to apply the correct
ModifierQueryNode to BooleanQueryNodes children.Builder for
BooleanQueryA
BooleanQueryNode represents a list of elements which do not have an explicit boolean
operator defined between them.Builds a
BooleanQuery object from a BooleanQueryNode object.BulkScorer that is used for pure disjunctions and disjunctions that have low values of
BooleanQuery.Builder.setMinimumNumberShouldMatch(int) and dense clauses.Simple similarity that gives terms a score that is equal to their query boost.
This processor removes every
BooleanQueryNode that contains only one child and returns
this child.Expert: the Weight for BooleanQuery, used to normalize, score and explain these queries.
Abstract parent class for those
ValueSource implementations which apply boolean logic to
their valuesAdd this
Attribute to a TermsEnum returned by MultiTermQuery.getTermsEnum(Terms,AttributeSource) and update the boost on each returned term.Implementation class for
BoostAttribute.Builder for
PayloadScoreQueryA
Query wrapper that allows to give a boost to the wrapped query.A
BoostQueryNode boosts the QueryNode tree which is under this node.This builder basically reads the
Query object set on the BoostQueryNode child
using QueryTreeBuilder.QUERY_TREE_BUILDER_TAGID and applies the boost value defined in
the BoostQueryNode.This processor iterates the query node tree looking for every
FieldableNode that has
StandardQueryConfigHandler.ConfigurationKeys.BOOST in its config.Finds fragment boundaries: pluggable into
BaseFragmentsBuilderThis interface describes methods that determine what the bounds are for a shape.
An interface for accumulating bounds information.
Implementation of "recursive graph bisection", also called "bipartite graph partitioning" and
often abbreviated BP, an approach to doc ID assignment that aims at reducing the sum of the log
gap between consecutive postings.
A forward index.
Use a LSB Radix Sorter to sort the (docID, termID) entries.
Exception that is thrown when not enough RAM is available.
A merge policy that reorders merged segments according to a
BPIndexReorderer.Analyzer for Brazilian Portuguese language.A
TokenFilter that applies BrazilianStemmer.Factory for
BrazilianStemFilter.A stemmer for Brazilian Portuguese words.
A
BoundaryScanner implementation that uses BreakIterator to find boundaries in
the text.A
PassageAdjuster that adjusts the Passage range to word boundaries hinted by the
given BreakIterator.Wraps RuleBasedBreakIterator, making object reuse convenient and emitting a rule status for emoji
sequences.
BufferAllocationException forked from HPPC.
Wraps another
Checksum with an internal buffer to speed up checksum calculations.Simple implementation of
ChecksumIndexInput that wraps another input and delegates calls.Base implementation class for buffered
IndexInput.Implementation of an IndexInput that reads from a portion of a file.
This wrapper buffers incoming elements.
Holds buffered deletes and updates, by docID, term or query for a single segment.
Tracks the stream of
FrozenBufferedUpdates.Tracks the contiguous range of packets that have finished resolving.
Holds all per-segment internal state used while resolving deletions.
Buffers up pending vector value(s) per doc, then flushes when segment flushes.
Sorting FloatVectorValues that iterate over documents in the order of the provided sortMap
Sorting FloatVectorValues that iterate over documents in the order of the provided sortMap
This class is a workaround for JDK bug JDK-8252739.
This class is a workaround for JDK bug JDK-8252739.
Analyzer for Bulgarian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies BulgarianStemmer to stem Bulgarian words.Factory for
BulgarianStemFilter.Light Stemmer for Bulgarian.
Efficient sequential read/write of packed integers.
Non-specialized
BulkOperation for PackedInts.Format.PACKED.Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Efficient sequential read/write of packed integers.
Non-specialized
BulkOperation for PackedInts.Format.PACKED_SINGLE_BLOCK.This class is used to score a range of documents at once, and is returned by
Weight.bulkScorer(org.apache.lucene.index.LeafReaderContext).DataInput backed by a byte array.
DataOutput backed by a byte array.
This class enables the allocation of fixed-size buffers and their management as part of a buffer
array.
Abstract class for allocating and freeing byte blocks.
A simple
ByteBlockPool.Allocator that never recycles.A simple
ByteBlockPool.Allocator that never recycles, but tracks how much total RAM is in use.Reads in reverse from a ByteBlockPool.
A guard that is created for every
ByteBufferIndexInput that tries on best effort to
reject any access to the ByteBuffer behind, once it is unmapped.Pass in an implementation of this interface to cleanup ByteBuffers.
Deprecated.
This class was made public for internal reasons (
instanceof checks).This class adds offset support to ByteBufferIndexInput, which is needed for slices.
Optimization of ByteBufferIndexInput for when there is only one buffer
A
DataOutput storing data in a list of ByteBuffers.An implementation of a
ByteBuffer allocation and recycling policy.A
ByteBuffer-based Directory implementation that can be used to store index files
on the heap.An
IndexOutput writing to a ByteBuffersDataOutput.An implementation for retrieving
FunctionValues instances for byte knn vectors fields.Automaton representation for matching UTF-8 byte[].
An FST
Outputs implementation where each output is a sequence of bytes.Class that Posting and PostingVector use to write interleaved byte streams into shared fixed-size
byte[] arrays.
IndexInput that knows how to read the byte slices written by Posting and PostingVector.
Represents byte[], as a slice (offset + length) into an existing byte[].
A simple append only random-access
BytesRef array that stores full copies of the appended
bytes in a ByteBlockPool.An extension of
BytesRefIterator that allows retrieving the index of the current
elementUsed to iterate the elements of an array in a given order.
Represents a logical list of ByteRef backed by a
ByteBlockPool.A builder for
BytesRef instances.Specialized
BytesRef comparator that StringSorter has optimizations for.An implementation for retrieving
FunctionValues instances for string based fields.Enumerates all input (BytesRef) + output pairs in an FST.
Holds a single input (BytesRef) + output pair.
BytesRefHash is a special purpose hash-map like data-structure optimized for BytesRef instances.Manages allocation of the per-term addresses.
A simple
BytesRefHash.BytesStartArray that tracks memory allocation using a private Counter
instance.A simple iterator interface for
BytesRef iteration.Collects
BytesRef and then allows one to iterate over their sorted order.This attribute can be used if you have the raw term bytes to be indexed.
Implementation class for
BytesTermAttribute.An
IndexOutput that wraps another instance and tracks the number of bytes writtenThis class implements a simple byte vector with access to the underlying array.
ByteVectorSimilarityFunction returns a similarity function between two knn vectors
with byte elements.Search for all (approximate) byte vectors above a similarity threshold.
A
DoubleValuesSource which computes the vector similarity scores between the query vector
and the KnnByteVectorField for documents.This class provides access to per-document floating point vector values indexed as
KnnByteVectorField.FilterDirectory that tracks write amplification factorDeprecated.
Custom binary encodings for taxonomy ordinals are no longer supported starting with
Lucene 9
Holds the cached ordinals in two parallel
int[] arrays.Caches all docs, and optionally also scores, coming from a search, and is then able to replay
them to another collector.
This expression value source shares one value cache when generating
ExpressionFunctionValues such that only one value along the whole generation tree is
corresponding to one namea wrapper of IndexWriter MergeContext.
A simplistic Lucene based NaiveBayes classifier, with caching feature, see
http://en.wikipedia.org/wiki/Naive_Bayes_classifierThis class can be used if the token attributes of a TokenStream are intended to be consumed more
than once.
Class used to match candidate queries selected by a Presearcher from a Monitor query index.
OrdinalIterator that filters out ordinals from delegate if they are not in the candidate
set.A filter to apply normal capitalization rules to Tokens.
Factory for
CapitalizationFilter.Analyzer for Catalan.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
A Cell is a portion of a trie.
Character category data.
Character category data.
Automaton representation for matching char[].
Utility class to write tokenizers or token filters.
A simple IO buffer to use with
CharacterUtils.fill(CharacterBuffer, Reader).Wraps a char[] as CharacterIterator for processing with a BreakIterator
A CharacterIterator used internally for use with
BreakIteratorA simple class that stores key Strings as char[]'s in a hash table.
Empty
CharArrayMap.UnmodifiableCharArrayMap optimized for
speed.Matches a character array
A simple class that stores Strings as char[]'s in a hash table.
Similar to
StringBuilder, but with a more efficient growing strategy.Forked from HPPC, holding int index and char value.
Subclasses of CharFilter can be chained to filter a Reader They can be used as
Reader with additional offset correction.Abstract parent class for analysis factories that create
CharFilter instances.This static holder class prevents classloading deadlock by delaying init of factories until
needed.
A hash set of
chars, implemented using open addressing with linear probing for
collision resolution.A hash map of
char to Object, implemented using open addressing with
linear probing for collision resolution.Forked from HPPC, holding int index,key and value
A
CharacterIterator over a CharSequence.An FST
Outputs implementation where each output is a sequence of characters.Utility functions for
JapaneseCompletionFilterRepresents char[], as a slice (offset + length) into an existing char[].
Deprecated.
This comparator is only a transition mechanism
A builder for
CharsRef instances.This interface describes a character stream that maintains line and column number positions of
the characters.
The term text of a Token.
Default implementation of
CharTermAttribute.An abstract base class for simple, character-oriented tokenizers.
Internal SmartChineseAnalyzer character type constants.
This class implements a simple char vector with access to the underlying array.
Like
IntConsumer, but may throw checked exceptions.Basic tool and API to check the health of an index and write a new segments file that removes
reference to problematic segments.
The marker RuntimeException used by CheckIndex APIs when index integrity failure is detected.
Run-time configuration options for CheckIndex commands.
Returned from
CheckIndex.checkIndex() detailing the health and status of the index.Status from testing DocValues
Status from testing field infos.
Status from testing field norms.
Status from testing index sort
Status from testing livedocs
Status from testing PointValues
Holds the status of each segment in the index.
Status from testing soft deletes
Status from testing stored fields.
Status from testing term index.
Status from testing stored fields.
Status from testing vector values
Walks the entire N-dimensional points space, verifying that all points fall within the last
cell's boundaries.
Utility class to check a block join index.
Extension of IndexInput, computing checksum as it goes.
Represents a circle on the earth's surface.
2D circle implementation containing spatial logic.
An
Analyzer that tokenizes text with StandardTokenizer, normalizes content with
CJKWidthFilter, folds case with LowerCaseFilter, forms bigrams of CJK with CJKBigramFilter, and filters stopwords with StopFilterForms bigrams of CJK terms that are generated from StandardTokenizer or ICUTokenizer.
Factory for
CJKBigramFilter.A
CharFilter that normalizes CJK width differences:
Folds fullwidth ASCII variants into the equivalent basic latin
Folds halfwidth Katakana variants into the equivalent kana
Factory for
CJKWidthCharFilter.A
TokenFilter that normalizes CJK width differences:
Folds fullwidth ASCII variants into the equivalent basic latin
Folds halfwidth Katakana variants into the equivalent kana
Factory for
CJKWidthFilter.Filters
ClassicTokenizer with ClassicFilter, LowerCaseFilter and StopFilter, using a list of English stop words.Normalizes tokens extracted with
ClassicTokenizer.Factory for
ClassicFilter.Expert: Historical scoring implementation.
A grammar-based tokenizer constructed with JFlex
Factory for
ClassicTokenizer.This class implements the classic lucene StandardTokenizer up until 3.0
The result of a call to
Classifier.assignClass(String) holding an assigned class of type
T and a score.A classifier, see
http://en.wikipedia.org/wiki/Classifier_(mathematics), which
assign classes of type THelper class used by ServiceLoader to investigate parent/child relationships of
ClassLoaders.Simple
ResourceLoader that uses ClassLoader.getResourceAsStream(String) and
Class.forName(String,boolean,ClassLoader) to open resources and classes, respectively.A supplier that creates
RandomVectorScorer from an ordinal.Java's builtin ThreadLocal has a serious flaw: it can take an arbitrarily long amount of time to
dereference the things you had stored in it, even once the ThreadLocal instance itself is no
longer referenced.
Encodes/decodes an inverted index segment.
This static holder class prevents classloading deadlock by delaying init of default codecs and
available codecs until needed.
LeafReader implemented by codec APIs.
Utility class for reading and writing versioned headers.
Removes words that are too long or too short from the stream.
Factory for
CodepointCountFilter.Extension of
CharTermAttributeImpl that encodes the term text as a binary Unicode
collation key instead of as UTF-8 bytes.Converts each token into its
CollationKey, and then encodes the bytes as an
index term.Indexes collation keys as a single-valued
SortedDocValuesField.Configures
KeywordTokenizer with CollationAttributeFactory.Expert: representation of a group in
FirstPassGroupingCollector, tracking the top doc and
FieldComparator slot.Contains statistics for a collection (field).
Throw this exception in
LeafCollector.collect(int) to prematurely terminate collection of
the current leaf.Methods for manipulating (sorting) and creating collections.
Expert: Collectors are primarily meant to be used to gather raw results from a search, and
implement sorting or custom result filtering, collation, etc.
A manager of collectors.
Default implementation of
MemoryTracker that tracks allocations and allows setting a
memory limit per collectorA
Query that treats multiple fields as a single stream and scores terms as if you had
indexed them as a single term in a single field.A builder for
CombinedFieldQuery.A suggestion generated by combining one or more original query terms
Class containing some useful methods used by command line tools
Construct bigrams for frequently occurring terms while indexing.
Constructs a
CommonGramsFilter.Wrap a CommonGramsFilter optimizing phrase queries by only returning single words when they are
not a member of a bigram.
Construct
CommonGramsQueryFilter.Configuration options common across queryparser implementations.
A query that executes high-frequency terms in a optional sub-query to prevent slow queries due to
"common" terms like stopwords.
Generates
Comparable for provided ordinal.Collection of static methods to provide most common comparables for sandbox faceting.
Used for
ComparableUtils.byCount(CountFacetRecorder, LongValueFacetCutter) result.Used for
ComparableUtils.byOrdinal() result.Base class for comparison operators useful within an "if"/conditional.
This class accumulates the (freq, norm) pairs that may produce competitive scores.
The Compile class is used to compile a stemmer table.
Immutable class holding compiled details for a given Automaton.
Automata are compiled into different internal forms for the most efficient execution depending
upon the language they accept.
CompletionPostingsFormat for
org.apache.lucene.backward_codecs.lucene50.Lucene50PostingsFormat.CompletionPostingsFormat for
org.apache.lucene.backward_codecs.lucene84.Lucene84PostingsFormat.CompletionPostingsFormat for
org.apache.lucene.backward_codecs.lucene90.Lucene90PostingsFormat.CompletionPostingsFormat for
org.apache.lucene.backward_codecs.lucene99.Lucene99PostingsFormat.Wraps an
Analyzer to provide additional completion-only tuning
(e.g.Weighted FSTs for any indexed
SuggestField is built on CompletionFieldsConsumer.write(Fields,NormsProducer).Completion index (.cmp) is opened and read at instantiation to read in
SuggestField
numbers and their FST offsets in the Completion dictionary (.lkp).A
PostingsFormat which supports document suggestion based on indexed SuggestFields.An enum that allows to control if suggester FSTs are loaded into memory or read off-heap
Abstract
Query that match documents containing terms with a specified prefix filtered by
BitsProducer.Expert: Responsible for executing the query against an appropriate suggester and collecting the
results via a collector.
Holder for suggester and field-level info for a suggest field
Wrapped
Terms used by SuggestField and ContextSuggestField to access corresponding suggester and their attributesA
ConcatenateGraphFilter but we can set the payload and provide access to config options.Expert: the Weight for CompletionQuery, used to score and explain these queries.
QueryParser which permits complex phrase query syntax eg "(john jon jonathan~) peters*".
2D Geometry object that supports spatial relationships with bounding boxes, triangles and points.
Used by withinTriangle to check the within relationship between a triangle and the query shape
(e.g.
2D multi-component geometry implementation represented as an interval tree of components.
Base class for composite queries (such as AND/OR/NOT)
An internal BreakIterator for multilingual text, following recommendations from: UAX #29: Unicode
Text Segmentation.
Instances of this reader type can only be used to get stored fields from the underlying
LeafReaders, but it is not possible to directly retrieve postings.
IndexReaderContext for CompositeReader instance.A read-only
Directory that consists of a view over a compound file.Encodes/decodes compound files
Base class for decomposition token filters.
Compression algorithm used for suffixes of a block of terms.
Compression algorithm used for suffixes of a block of terms.
A compression mode.
A compression mode.
A data compressor.
A data compressor.
Concatenates/Joins every incoming token with a separator into one output token for every path
through the token stream (which is a graph).
Attribute providing access to the term builder and UTF-16 conversion
Implementation of
ConcatenateGraphFilter.BytesRefBuilderTermAttributeJust escapes the
ConcatenateGraphFilter.SEP_LABEL byte with an extra.Factory for
ConcatenateGraphFilter.A TokenStream that takes an array of input TokenStreams as sources, and concatenates them
together.
Concurrent version of
ApproximatePriorityQueue, which trades a bit more of ordering for
better concurrency by maintaining multiple sub ApproximatePriorityQueues that are locked
independently.This merger merges graph in a concurrent manner, by using
HnswConcurrentMergeBuilderA
MergeScheduler that runs each merge using a separate thread.Access to
ConcurrentMergeScheduler internals exposed to the test
framework.Utility class for concurrently loading queries into a Monitor.
Like
SortedSetDocValuesFacetCounts, but aggregates counts concurrently across segments.Allows skipping TokenFilters based on the current set of attributes.
Abstract parent class for analysis factories that create
ConditionalTokenFilter instancesAn instance of this class represents a key that is used to retrieve a value from
AbstractQueryConfig.Utility class to generate the confusion matrix of a
Classifiera confusion matrix, backed by a
Map representing the linearized matrixBulkScorer implementation of
ConjunctionScorer.A conjunction of DocIdSetIterators.
Conjunction between a
DocIdSetIterator and one or more BitSetIterators.TwoPhaseIterator implementing a conjunction.Scorer for conjunctions, sets of queries, all of which are required.
Common super class for multiple sub spans required in a document.
Helper methods for building conjunction iterators
n-gram connection cost data
n-gram connection cost data
Some useful constants.
A query that wraps another query and simply returns a constant score equal to 1 for every
document that matches the query.
We return this as our
BulkScorer so that if the CSQ wraps a query with its own
optimized top-level scorer (e.g.Builder for
ConstantScoreQueryA constant-scoring
Scorer.A Weight that has a constant score equal to the boost of the wrapped query.
Function that returns a constant byte vector value for every document.
Function that returns a constant float vector value for every document.
ConstNumberSource is the base class for all constant numbersThis class holds constants used by the directory taxonomy implementations.
ConstValueSource returns a constant for all documentsNode that represents
Intervals.containedBy(IntervalsSource, IntervalsSource).Node that represents
Intervals.containing(IntervalsSource, IntervalsSource).A
CompletionQuery that matches documents specified by a wrapped CompletionQuery
supporting boosting and/or filtering by specified contexts.Holder for context value meta data
SuggestField which additionally takes in a set of contexts.The
ContextSuggestField.PrefixTokenFilter wraps a TokenStream and adds a set prefixes ahead.Utility class that runs a thread to manage periodicc reopens of a
ReferenceManager, with
methods to wait for a specific index changes to become visible.ICONV or OCONV replacement table
Assembles a QueryBuilder which uses only core Lucene Query objects
Assembles a QueryBuilder which uses Query objects from Lucene's
sandbox and
queries modules in addition to core queries.Assembles a QueryBuilder which uses Query objects from Lucene's
queries module in
addition to core queries.This exception is thrown when Lucene detects an inconsistency in the index.
Simple counter class
FacetRecorder to count facets.A
Query that allows to have a configurable number or required matches per document.A
Scorer whose number of matches is per-document.Utility class for parsing CSV text
A general-purpose Analyzer that can be created with a builder-style API.
Builder for
CustomAnalyzer.Factory class for a
ConditionalTokenFilterBuilds a
QueryTree for a query that needs custom treatmentA
BreakIterator that breaks the text whenever a certain separator, provided as a
constructor argument, is found.Analyzer for Czech language.A
TokenFilter that applies CzechStemmer to stem Czech words.Factory for
CzechStemFilter.Light Stemmer for Czech.
Deprecated.
Visibility of this class will be reduced in a future release.
DFSA state with
char labels on transitions.Create tokens for phonetic matches based on Daitch–Mokotoff Soundex.
Factory for
DaitchMokotoffSoundexFilter.Analyzer for Danish.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
Abstract base class for performing read operations of Lucene's low-level data types.
Abstract base class for performing write operations of Lucene's low-level data types.
Utility class for creating training / test / cross validation indexes from the original index.
Filters all tokens that cannot be parsed to a date, using the provided
DateFormat.Factory for
DateRecognizerFilter.Provides support for converting dates to strings and vice-versa.
Specifies the time granularity.
Folds all Unicode digits in
[:General_Category=Decimal_Number:] to Basic Latin digits
(0-9).Factory for
DecimalDigitFilter.A token that was generated from a compound.
A decompressor.
A decompressor.
Default policy is to allocate a bitset with 10% saturation given a unique term per document.
Simple
Encoder implementation that does not modify the outputDefault implementation of
FlatVectorsScorer.RandomVectorScorerSupplier for bytes vector
A
RandomVectorScorer for byte vectors.RandomVectorScorerSupplier for Float vector
A
RandomVectorScorer for float vectors.Default
ICUTokenizerConfig that is generally applicable to many languages.Creates a formatted snippet from the top passages.
This processor verifies if
StandardQueryConfigHandler.ConfigurationKeys.PHRASE_SLOP is defined in the QueryConfigHandler.Default implementation of
SortedSetDocValuesFacetCounts.Default provider returning scalar implementations.
ValueSource implementation which only returns the values from the provided ValueSources
which are available for a particular docId.A compression mode that trades speed for compression ratio.
A compression mode that trades speed for compression ratio.
An analyzer wrapper, that doesn't allow to wrap components or readers.
A
DeletedQueryNode represents a node that was deleted from the query node tree.Characters before the delimiter are the "token", those after are the boost.
Factory for
DelimitedBoostTokenFilter.Characters before the delimiter are the "token", those after are the payload.
Factory for
DelimitedPayloadTokenFilter.Characters before the delimiter are the "token", the textual integer after is the term frequency.
Factory for
DelimitedTermFrequencyTokenFilter.TermState serializer which encodes each file pointer as a delta relative to a base file
pointer.Implements the Divergence from Independence (DFI) model based on Chi-square statistics
(i.e., standardized Chi-squared distance from independence in term frequency tf).
Implements the divergence from randomness (DFR) framework introduced in Gianni Amati and
Cornelis Joost Van Rijsbergen.
An object representing homonym dictionary entries.
An object representing *.dic file entry with its word, flags and morphological data.
In-memory structure for the dictionary (.dic) and affix (.aff) data of a hunspell dictionary.
Dictionary interface for retrieving morphological data by id.
Dictionary interface for retrieving morphological data by id.
A simple interface representing a Dictionary.
Possible word breaks according to BREAK directives
Used to read flags as UTF-8 even if the rest of the file is in the default (8-bit) encoding
Implementation of
Dictionary.FlagParsingStrategy that assumes each flag is encoded as two ASCII
characters whose codes must be combined into a single character.Abstraction of the process of parsing flags taken from the affix and dic files
A morpheme extracted from a compound token.
Implementation of
Dictionary.FlagParsingStrategy that assumes each flag is encoded in its
numerical form.Simple implementation of
Dictionary.FlagParsingStrategy that treats the chars in each String as a
individual flags.Tool to build dictionaries.
Tool to build dictionaries.
Format of the dictionary.
A
TokenFilter that decomposes compound words found in many
Germanic languages.Factory for
DictionaryCompoundWordTokenFilter.A token stored in a
Dictionary.The Diff object generates a patch string.
The DiffIt class is a means generate patch commands from an already prepared stemmer table.
Defines a single range in a
FacetSet dimension.A
Directory implementation for all Unixes and Windows that uses DIRECT I/O to bypass OS
level IO caching during merging.Retrieves an instance previously written by
DirectMonotonicWriter.In-memory metadata that needs to be kept around for
DirectMonotonicReader to read data
from disk.Write monotonically-increasing sequences of integers.
A
Directory provides an abstraction layer for storing a list of files.DirectoryReader is an implementation of
CompositeReader that can read indexes in a Directory.A
TaxonomyReader which retrieves stored taxonomy information from a Directory.TaxonomyWriter which uses a Directory to store the taxonomy information on disk,
and keeps an additional in-memory cache of some or all categories.DirectoryTaxonomyWriter.OrdinalMap maintained on file systemDirectoryTaxonomyWriter.OrdinalMap maintained in memoryMapping from old ordinal to new ordinals, used when merging indexes with separate taxonomies.
Wraps
Lucene912PostingsFormat format for on-disk storage, but then at read time loads and
stores all terms and postings directly in RAM as byte[], int[].Retrieves an instance previously written by
DirectWriterSimple automaton-based spellchecker.
Holds a spelling correction for internal usage inside
DirectSpellChecker.Class for writing packed integers to be directly read from Directory.
A priority queue of DocIdSetIterators that orders by current doc ID.
A priority queue of DocIdSetIterators that orders by current doc ID.
Wrapper used in
DisiPriorityQueue.A
DocIdSetIterator which is a disjunction of the approximations of the provided
iterators.A
DocIdSetIterator which is a disjunction of the approximations of the provided
iterators.A
MatchesIterator that combines matches from a set of sub-iteratorsA query that generates the union of documents produced by its subqueries, and that scores each
document with the maximum score for that document as produced by any subquery, plus a tie
breaking increment for any additional matching subqueries.
Builder for
DisjunctionMaxQueryThe Scorer for DisjunctionMaxQuery.
A helper to propagate block boundaries for disjunctions.
Base class for Scorers that score disjunctions.
A Scorer for OR like queries, counterpart of
ConjunctionScorer.Factory for NEAR queries
Distance computation styles, supporting various ways of computing distance to shapes.
Interface for queries that can be nested as subqueries into a span near.
A second pass grouping collector that keeps track of distinct values for a specified field for
the top N group.
Returned by
DistinctValuesCollector.getGroups(), representing the value and set of
distinct values for the group.The probabilistic distribution used to model term occurrence in information-based models.
Log-logistic distribution.
The smoothed power-law (SPL) distribution for the information-based framework that is described
in the original paper.
A
TopDocsCollector that controls diversity in results by ensuring no more than
maxHitsPerKey results from a common source are collected in the final results.An extension to ScoreDoc that includes a key used for grouping purposes
kNN byte vector query that joins matching children vector documents with their parent doc id.
kNN float vector query that joins matching children vector documents with their parent doc id.
This collects the nearest children vectors.
This is a minimum binary heap, inspired by
LongHeap.Keeps track of child node, parent node, and the stored score.
DiversifyingNearestChildrenKnnCollectorManager responsible for creating
DiversifyingNearestChildrenKnnCollector instances.Function to divide "a" by "b"
Dl4jModelReader reads the file generated by the library Deeplearning4j and provide a
Word2VecModel with normalized vectors
A
DocIdSetIterator like BitSetIterator but has a doc base in onder to avoid
storing previous 0s.Comparator that sorts by asc _doc
DocFreqValueSource returns the number of documents containing the term.Utility class to help merging documents from sub-readers according to either simple concatenated
(unsorted) order, or by a specified index-time sort, skipping deleted documents and remapping
non-deleted documents.
Represents one sub-reader being merged
A DocIdSet contains a set of doc ids.
A builder of
DocIdSets.Utility class to efficiently add many docs in one go.
This abstract class defines methods to iterate over a set of non-decreasing doc ids.
A stream of doc IDs.
Accumulator for documents that have a value for a field.
Serves as base class for FunctionValues based on DocTermsIndex.
Custom Exception to be thrown when the DocTermsIndex for a field cannot be generated
utility class for converting Lucene
Documents to Double
vectors.Documents are the unit of indexing and search.
A classifier, see
http://en.wikipedia.org/wiki/Classifier_(mathematics), which
assign classes of type T to a DocumentsDictionary with terms, weights, payload (optional) and contexts (optional) information taken from
stored/indexed fields in a Lucene index.
A
StoredFieldVisitor that creates a Document from stored fields.This class accepts multiple added documents and directly writes segment files.
DocumentsWriterDeleteQueue is a non-blocking linked pending deletes queue.This class controls
DocumentsWriterPerThread flushing during indexing.DocumentsWriterPerThreadPool controls DocumentsWriterPerThread instances and
their thread assignments during indexing.Controls the health status of a
DocumentsWriter sessions.Dictionary with terms and optionally payload and optionally contexts information taken from
stored fields in a Lucene index.
This class contains utility methods and constants for DocValues
Abstract API that consumes numeric, binary and sorted docvalues.
Tracks state of one binary sub-reader that we are merging
A merged
TermsEnum.Tracks state of one numeric sub-reader that we are merging
Tracks state of one sorted sub-reader that we are merging
Tracks state of one sorted numeric sub-reader that we are merging
Tracks state of one sorted set sub-reader that we are merging
Deprecated.
Use
FieldExistsQuery instead.Holds updates of a single DocValues field, for a set of documents within one segment.
An iterator over documents and their updated values.
Encodes/decodes per-document values.
This static holder class prevents classloading deadlock by delaying init of doc values formats
until needed.
Set of longs, optimized for docvalues usage
Deprecated.
Custom binary encodings for taxonomy ordinals are no longer supported starting with
Lucene 9
Abstract API that produces numeric, binary, sorted, sortedset, and sortednumeric docvalues.
Rewrites MultiTermQueries into a filter, using DocValues for term enumeration.
Holds statistics for a DocValues field.
Holds DocValues statistics for a numeric field storing
double values.Holds DocValues statistics for a numeric field storing
long values.Holds statistics for a numeric DocValues field.
Holds statistics for a sorted DocValues field.
Holds DocValues statistics for a sorted-numeric field storing
double values.Holds DocValues statistics for a sorted-numeric field storing
long values.Holds statistics for a sorted-numeric DocValues field.
Holds statistics for a sorted-set DocValues field.
A
Collector which computes statistics for a DocValues field.DocValues types.
An in-place update to a DocValues field.
An in-place update to a binary DocValues field
An in-place update to a numeric DocValues field
Helper methods for parsing XML
Comparator based on
Double.compare(double, double) for numHits.Function that returns a constant double value for every document.
Forked from HPPC, holding int index and double value.
Abstract
FunctionValues implementation which supports retrieving double values.Syntactic sugar for encoding doubles as NumericDocValues via
Double.doubleToRawLongBits(double).A
FacetSet which encodes double dimension values.Field that stores a per-document
double value for scoring, sorting or value
retrieval and index the field for fast range filters.Obtains double field values from
LeafReader.getNumericDocValues(java.lang.String)
and makes those values available as other numeric types, casting as needed.Filter for DoubleMetaphone (supporting secondary codes)
Factory for
DoubleMetaphoneFilter.An indexed
double field for fast range filters.Builder for multi range queries for DoublePoints
An indexed Double Range field.
Represents a range over double values.
Represents a double range for RangeOnRange faceting
Represents a contiguous range of double values, with an inclusive minimum and exclusive maximum
DocValues field for DoubleRange.
Facets implementation that computes counts for dynamic double ranges.FacetCutter for ranges of double values.Groups double values into ranges
A GroupSelector implementation that groups documents by double values
Represents counts for double range on range faceting.
Per-segment, per-document double values, which can be calculated at search-time
Base class for producing
DoubleValuesA
Query for drill-down over facet categories.Computes drill down and sideways counts for the provided
DrillDownQuery.Only purpose is to punch through and return a DrillSidewaysScorer
Allows Tokens with a given combination of flags to be dropped.
Provides a filter that will drop tokens matching a set of flags.
Abstract
ValueSource implementation which wraps two ValueSources and applies an
extendible float function to their values.This builder does nothing.
Analyzer for Dutch language.This class implements the stemming algorithm defined by a snowball script.
3D rectangle, bounded on six sides by X,Y,Z limits, degenerate in all dimensions
3D rectangle, bounded on six sides by X,Y,Z limits, degenerate in X and Y.
3D rectangle, bounded on six sides by X,Y,Z limits, degenerate in X and Z.
3D rectangle, bounded on six sides by X,Y,Z limits, degenerate in X.
Methods to create dynamic ranges for numeric fields.
Holds parameters of a dynamic numeric range.
Holds field value array, weight array, totalWeight, valid value index for each segment
Creates new instances of
EdgeNGramTokenFilter.Tokenizes the given token into n-grams of given size(s).
Tokenizes the input from an edge into n-grams of given size(s).
Creates new instances of
EdgeNGramTokenizer.Internal tree node: represents geometry edge from [x1, y1] to [x2, y2].
Removes elisions from a
TokenStream.Factory for
ElisionFilter.Abstract base class implementing a
DocValuesProducer that has no doc values.An always exhausted token stream.
Encodes original text.
A
ChecksumIndexInput wrapper that changes the endianness of the provided index output.A
IndexInput wrapper that changes the endianness of the provided index input.A
RandomAccessInput wrapper that changes the endianness of the provided index input.A
IndexOutput wrapper that changes the endianness of the provided index output.Utility class to wrap open files
Analyzer for English.A
TokenFilter that applies EnglishMinimalStemmer to stem English words.Factory for
EnglishMinimalStemFilter.Minimal plural stemmer for English.
TokenFilter that removes possessives (trailing 's) from words.
Factory for
EnglishPossessiveFilter.This class implements the stemming algorithm defined by a snowball script.
Suggestion to add/edit dictionary entries to generate a given list of words created by
WordFormGenerator.compress(java.util.List<java.lang.String>, java.util.Set<java.lang.String>, java.lang.Runnable).Obtains int field values from
LeafReader.getNumericDocValues(java.lang.String) and
makes those values available as other numeric types, casting as needed.A parser needs to implement
EscapeQuerySyntax to allow the QueryNode to escape the
queries, when the toQueryString method is called.Type of escaping: String for escaping syntax, NORMAL for escaping reserved words (like AND) in
terms
Implementation of
EscapeQuerySyntax for the standard lucene syntax.Analyzer for Estonian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
A
FacetSetMatcher which considers a set as a match only if all dimension values are equal
to the given one.Expert: Find exact phrases
This implementation assumes the requested ranges do not overlap.
Simple container for a requested range and its original position
The
ExitableDirectoryReader wraps a real index DirectoryReader and allows for a
QueryTimeout implementation object to be checked periodically to see if the thread should
exit or not.Wrapper class for another FilterAtomicReader.
Wrapper class for another PointValues implementation that is used by ExitableFields.
Wrapper class for a SubReaderWrapper that is used by the ExitableDirectoryReader.
Wrapper class for another Terms implementation that is used by ExitableFields.
Wrapper class for TermsEnum that is used by ExitableTerms for implementing an exitable
enumeration of terms.
Exception that is thrown to prematurely terminate a term enumeration.
A query match containing the score explanation of the match
Expert: Describes the score computation for document and query.
Base class that computes the value of an expression for a document.
A
DoubleValues which evaluates an expressionHelper class holding static methods for js math functions
A
Rescorer that uses an expression to re-score first pass hits.Node that represents
Intervals.extend(IntervalsSource, int, int).The
ExtendableQueryParser enables arbitrary query parser extension based on a
customizable field naming scheme.Wraps an IntervalIterator and extends the bounds of its intervals
ExtensionQuery holds all query components extracted from the original query string like
the query field and the extension query string.The
Extensions class represents an extension mapping to associate ParserExtension
instances with extension keys.This class represents a generic pair.
An implementation of a
BytesRefSorter that allows appending BytesRefs to an
OfflineSorter and returns a Closeable ExternalRefSorter.ByteSequenceIterator that iterates
over sequences stored on disk.Iterates over
BytesRefs in a file, closes the reader when the iterator is exhausted.Base class for facet counts.
Creates
LeafFacetCutter for each leaf.Add an instance of this to your
Document for every facet label.Collector that brings together FacetCutter and FacetRecorder to compute
facets during collection phase.Collector manager for
FacetFieldCollector.Holds a sequence of string components, specifying the hierarchical name of a category.
A term
Query over a FacetField.Record data for each facet of each doc.
Counts or aggregates for a single dimension.
Common base class for all facets implementations.
Collects hits for subsequent faceting.
Holds the documents that were matched in the
LeafReaderContext.A
CollectorManager implementation which produces FacetsCollector and produces a merged
FacetsCollector.Holds results of a search run via static utility methods exposed by this class.
Records per-dimension configuration.
Holds the configuration for one dimension
Drill down terms indexing option to control whether dimension and sub-path terms should be
indexed.
Holds a set of facet dimension values.
A functional interface for decoding facet set values into comparable `long` ones.
Matches the encoded
FacetSet that was indexed in FacetSetsField.A
BinaryDocValuesField which encodes a list of facet sets.Utility class with a single method for getting a DocIdSetIterator that skips deleted docs
An efficient implementation of JavaCC's CharStream interface.
Computes facets counts, assuming the default encoding into DocValues was used.
Another highlighter implementation.
A
DoubleValuesSource instance which can be used to read the values of a feature from a
FeatureField for documents.Field that can be used to store static scoring factors into documents.Sorts using the value of a specified feature name from a
FeatureField.Expert: directly create a field for a document.
Specifies whether and how a field should be stored.
A query node implements
FieldableNode interface to indicate that its children and itself
are associated to a specific field.This listener listens for every field configuration request and assign a
StandardQueryConfigHandler.ConfigurationKeys.BOOST to the equivalent FieldConfig based on a defined map: fieldName
-> boostValue stored in StandardQueryConfigHandler.ConfigurationKeys.FIELD_BOOST_MAP.A base class for ValueSource implementations that retrieve values for a single field from
DocValues.
Expert: a FieldComparator compares hits so as to determine their sort order when collecting the
top results with
TopFieldCollector.Sorts by descending relevance.
Sorts by field's natural Term sort order.
Provides a
FieldComparator for custom field sorting.This class represents a field configuration.
This interface should be implemented by classes that wants to listen for field configuration
requests.
This listener listens for every field configuration request and assign a
StandardQueryConfigHandler.ConfigurationKeys.DATE_RESOLUTION to the equivalent FieldConfig based on a defined map:
fieldName -> DateTools.Resolution stored in StandardQueryConfigHandler.ConfigurationKeys.FIELD_DATE_RESOLUTION_MAP.Expert: A ScoreDoc which also contains information about how to sort the referenced document.
A
Query that matches documents that contain either a KnnFloatVectorField, KnnByteVectorField or a field that indexes norms or doc values.FieldFragList has a list of "frag info" that is used by FragmentsBuilder class to create
fragments (snippets).
List of term offsets + weight for a frag info
Represents the list of term offsets for some text
Internal highlighter abstraction that operates on a per field basis.
Access to the Field Info file that describes document fields and whether or not they are indexed.
Collection of
FieldInfos (accessible by number or by name).Encodes/decodes
FieldInfosThis class tracks the number and position / offset parameters of terms being added to the index.
Wrapper to allow
SpanQuery objects participate in composite single-field SpanQueries by
'lying' about their search field.Metadata and stats for one field in the index.
Reads/writes field metadata.
Pair of
FieldMetadata and BlockTermState for a specific field.Ultimately returns an
OffsetsEnum yielding potentially highlightable words in the text.FieldPhraseList has a list of WeightedPhraseInfo that is used by FragListBuilder to create a
FieldFragList object.
Represents the list of term offsets and boost for some text
Term offsets (start + end)
FieldQuery breaks down query object into terms/phrases and keeps them in a QueryPhraseMap
structure.
Internal structure of a query for highlighting: represents a nested query structure
A
FieldQueryNode represents a element that contains field/text tupleBuilds a
TermQuery object from a FieldQueryNode object.BlockTree's implementation of
Terms.BlockTree's implementation of
Terms.Provides a
Terms index for fields that have it, and lists which fields do.Abstract API that consumes terms, doc, freq, prox, offset and payloads postings.
Efficient index format for block-based
Codecs.Abstract API that produces terms, doc, freq, prox, offset and payloads postings.
Forms an OR query of the provided query across multiple fields.
Iterates over terms in across multiple fields.
FieldTermStack is a stack that keeps query terms in the specified field of the
document to be highlighted.Single term with its position/offsets in the document and IDF weight.
Describes the properties of a field.
This class efficiently buffers numeric and binary field updates and stores terms, values and
metadata in a memory efficient way without creating large amounts of objects.
Struct like class that is used to iterate over all updates in this buffer
A factory of
MatchHighlighter.FieldValueHighlighter classes that
cover typical use cases (verbatim values, highlights, abbreviations).Expert: A hit queue for sorting by hits by terms in more than one field.
Extension of ScoreDoc to also store the
FieldComparator slot.An implementation of
FieldValueHitQueue which is optimized in case there is more than
one comparator.An implementation of
FieldValueHitQueue which is optimized in case there is just one
comparator.This interface should be implemented by
QueryNode that holds a field and an arbitrary
value.This class provides ability to track the reference counts of a set of index files and delete them
when their counts decreased to 0.
Types of messages this file deleter will broadcast REF: messages about reference FILE: messages
about file
Tracks the reference count for a single index file:
Dictionary represented by a text file.
Expert: A Directory instance that switches files between two other Directory instances.
Simple
ResourceLoader that opens resource files from the local file system, optionally
resolving against a base directory.Delegates all methods to a wrapped
BinaryDocValues.A codec that forwards all its method calls to another codec.
A
FilterCodecReader contains another CodecReader, which it uses as its basic source
of data, possibly transforming the data along the way or providing additional functionality.Collector delegator.Directory implementation that delegates calls to another directory.
A FilterDirectoryReader wraps another DirectoryReader, allowing implementations to transform or
extend it.
A DelegatingCacheHelper is a CacheHelper specialization for implementing long-lived caching
behaviour for FilterDirectoryReader subclasses.
Factory class passed to FilterDirectoryReader constructor that allows subclasses to wrap the
filtered DirectoryReader's subreaders.
Abstract decorator class of a DocIdSetIterator implementation that provides on-demand
filter/validation mechanism on an underlying DocIdSetIterator.
An IntervalsSource that filters the intervals from another IntervalsSource
Abstract class for enumerating a subset of all terms.
Return value, if term should be accepted or the iteration should
END.IndexInput implementation that delegates calls to another directory.
Access to
FilterIndexInput internals exposed to the test
framework.IndexOutput implementation that delegates calls to another directory.
Abstract base class for TokenFilters that may remove tokens.
An
Iterator implementation that filters elements with a boolean predicate.LeafCollector delegator.A
FilterLeafReader contains another LeafReader, which it uses as its basic source of
data, possibly transforming the data along the way or providing additional functionality.Base class for filtering
Fields implementations.Base class for filtering
PostingsEnum implementations.Base class for filtering
Terms implementations.Base class for filtering
TermsEnum implementations.A MatchesIterator that delegates all calls to another MatchesIterator
A wrapper for
MergePolicy instances.Delegates all methods to a wrapped
NumericDocValues.Filter a
Scorable, intercepting methods and optionally changing their return valuesA
FilterScorer contains another Scorer, which it uses as its basic source of
data, possibly transforming the data along the way or providing additional functionality.Delegates all methods to a wrapped
SortedDocValues.Delegates all methods to a wrapped
SortedNumericDocValues.Delegates all methods to a wrapped
SortedSetDocValues.A
Spans implementation wrapping another spans instance, allowing to filter spans matches
easily by implementing FilterSpans.accept(org.apache.lucene.queries.spans.Spans)Status returned from
FilterSpans.accept(Spans) that indicates whether a candidate match
should be accepted, rejected, or rejected and move on to the next document.Delegates all methods to a wrapped
FloatVectorValues.A
FilterWeight contains another Weight and implements all abstract methods by
calling the contained weight's method.Filter outputs a single token which is a concatenation of the sorted and de-duplicated set of
input tokens.
Factory for
FingerprintFilter.Iterates all accepted strings.
Nodes for path stack.
Analyzer for Finnish.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies FinnishLightStemmer to stem Finnish words.Factory for
FinnishLightStemFilter.Light Stemmer for Finnish.
This class implements the stemming algorithm defined by a snowball script.
FirstPassGroupingCollector is the first of two passes necessary to collect grouped hits.
Deprecated.
Fix the token filters that create broken offsets in the first place.
Deprecated.
Immutable twin of FixedBitSet.
BitSet of fixed length (numBits), backed by accessible (
FixedBitSet.getBits()) long[], accessed with
an int index, implementing Bits and DocIdSet.TermsIndexReader for simple every Nth terms indexes.
Selects every Nth term as and index term, and hold term bytes (mostly) fully expanded in memory.
Just like
BytesRefArray except all values have the same length.A FixedShingleFilter constructs shingles (token n-grams) from a token stream.
Factory for
FixedShingleFilterA structure similar to
BytesRefHash, but specialized for sorted
char sequences used for Hunspell flags.This attribute can be used to pass different flags down the
Tokenizer chain, e.g.Default implementation of
FlagsAttribute.A bit vector scorer for scoring byte vectors.
Vectors' writer for a field
Converts an incoming graph token stream, such as one from
SynonymGraphFilter, into a flat
form so that all nodes form a single linear chain with no side paths.Holds all tokens leaving a given input position.
Gathers up merged input positions into a single output position, only for the current
"frontier" of nodes we've seen but can't yet output because they are not frozen.
Factory for
FlattenGraphFilter.Utilities for
FlatVectorsScorer.Encodes/decodes per-document vectors and provides a scoring interface for the flat stored vectors
Reads vectors from an index.
Provides mechanisms to score vectors that are stored in a flat file The purpose of this class is
for providing flexibility to the codec utilizing the vectors
Vectors' writer for a field that allows additional indexing logic to be implemented by the caller
An array-backed list of
float.An iterator implementation for
FloatArrayList.iterator().Add an instance of this to your
Document to add a facet label associated with a float.Comparator based on
Float.compare(float, float) for numHits.Forked from HPPC, holding int index and float value.
Abstract
FunctionValues implementation which supports retrieving float values.Syntactic sugar for encoding floats as NumericDocValues via
Float.floatToRawIntBits(float).Encode a character array Float as a
BytesRef.A
FacetSet which encodes float dimension values.Field that stores a per-document
float value for scoring, sorting or value retrieval
and index the field for fast range filters.Obtains float field values from
LeafReader.getNumericDocValues(java.lang.String)
and makes those values available as other numeric types, casting as needed.A bounded min heap that stores floats.
An implementation for retrieving
FunctionValues instances for float knn vectors fields.An indexed
float field for fast range filters.Builder for multi range queries for FloatPoints
KNN search on top of N dimensional indexed float points.
An indexed Float Range field.
DocValues field for FloatRange.
Deprecated.
Visibility of this class will be reduced to pkg-private in a future version.
FloatVectorSimilarityFunction returns a similarity function between two knn vectors
with float elements.Search for all (approximate) float vectors above a similarity threshold.
A
DoubleValuesSource which computes the vector similarity scores between the query vector
and the KnnFloatVectorField for documents.This class provides access to per-document floating point vector values indexed as
KnnFloatVectorField.Default
FlushPolicy implementation that flushes new segments based on RAM used and
document count depending on the IndexWriter's IndexWriterConfig.A FlushInfo provides information required for a FLUSH context.
FlushPolicy controls when segments are flushed from a RAM resident internal
data-structure to the IndexWriters Directory.Query wrapper that forces its wrapped Query to use the default doc-by-doc BulkScorer.
Utility class to encode/decode increasing sequences of 128 integers.
Utility class to encode/decode increasing sequences of 128 integers.
Inspired from https://fulmicoton.com/posts/bitpacking/ Encodes multiple integers in a long to get
SIMD-like speedups.
Processes terms found in the original text, typically by applying some form of mark-up to
highlight terms in HTML search results pages.
Encode all values in normal area with fixed bit width, which is determined by the max value in
this block.
Inspired from https://fulmicoton.com/posts/bitpacking/ Encodes multiple integers in a long to get
SIMD-like speedups.
Reads from a single byte[].
FragListBuilder is an interface for FieldFragList builder classes.
An oracle for quickly checking that a specific part of a word can never be a valid word.
Implements the policy for breaking text into multiple fragments for consideration by the
Highlighter class.FragmentsBuilder is an interface for fragments
(snippets) builder classes.Builds an ngram model from the text sent to
FreeTextSuggester.build(org.apache.lucene.search.suggest.InputIterator) and predicts based on the last grams-1
tokens in the request sent to FreeTextSuggester.lookup(java.lang.CharSequence, boolean, int).Analyzer for French language.A
TokenFilter that applies FrenchLightStemmer to stem French words.Factory for
FrenchLightStemFilter.Light Stemmer for French.
A
TokenFilter that applies FrenchMinimalStemmer to stem French words.Factory for
FrenchMinimalStemFilter.Light Stemmer for French.
This class implements the stemming algorithm defined by a snowball script.
Implements limited (iterators only, no stats)
Fields interface over the in-RAM buffered
fields/terms/postings, to flush postings through the PostingsFormat.A
TimSorter which sorts two parallel arrays of doc IDs and offsets in one go.A ring buffer that tracks the frequency of the integers that it contains.
A bag of integers.
Holds buffered deletes and updates by term or query, once pushed.
This class helps iterating a term dictionary and consuming all the docs for each terms.
Base class for Directory implementations that store index files in the file system.
Base class for file system based locking implementation.
Represents an finite state machine (FST), using a compact byte[] format.
Represents a single arc.
Helper methods to read the bit-table of a direct addressing node.
Reads bytes stored in an FST.
Represents the FST metadata.
Specifies allowed range of each int input label for this FST.
Builds a minimal FST (maps an IntsRef term to an arbitrary output) from pre-sorted terms with
outputs.
Expert: holds a pending (seen but not yet serialized) arc.
Fluent-style constructor for FST
FSTCompiler.Reusable buffer for building nodes with fixed length arcs (binary search or direct addressing).
This class is used for FST backed by non-FSTReader DataOutput.
Expert: holds a pending (seen but not yet serialized) Node.
Finite state automata based implementation of "autocomplete" functionality.
A single completion for a given key.
Finite state automata based implementation of "autocomplete" functionality.
An adapter from
Lookup API to FSTCompletion.Immutable stateless
FST-based index dictionary kept in memory.Provides stateful
FSTDictionary.Browser to seek in the FSTDictionary.Builds an immutable
FSTDictionary.Can next() and advance() through the terms in an FST
A custom FST outputs implementation that stores block data (BytesRef), long ordStart, long
numTerms.
FST term dict + Lucene50PBF
Abstraction for reading bytes necessary for FST.
An FST
Outputs implementation for FSTTermsWriter.Represents the metadata for one term.
FST-based terms dictionary reader.
FST-based term dict, using metadata as FST output.
Holds a pair (automaton, fst) of states and accumulated output in the intersected machine.
A query that retrieves all documents with a
DoubleValues value matching a predicateReturns a score for each document based on a ValueSource, often some function of the value of a
field.
A Query wrapping a
ValueSource that matches docs in which the values in the value source
match a configured range.A query that wraps another query, and uses a DoubleValuesSource to replace or modify the wrapped
query's score
Represents field values as different types.
Abstraction of the logic required to fill the value of a specified doc into a reusable
MutableValue.Builds a set of CompiledAutomaton for fuzzy matching on a given term, with specified maximum edit
distance, fixed prefix and whether or not to allow transpositions.
A
CompletionQuery that match documents containing terms within an edit distance of the
specified prefix.Configuration parameters for
FuzzyQuerysFuzzifies ALL terms provided as strings and then picks the best n differentiating terms.
Builder for
FuzzyLikeThisQueryImplements the fuzzy search query.
A
FuzzyQueryNode represents a element that contains field/text/similarity tupleBuilds a
FuzzyQuery object from a FuzzyQueryNode object.This processor iterates the query node tree looking for every
FuzzyQueryNode, when this
kind of node is found, it checks on the query configuration for StandardQueryConfigHandler.ConfigurationKeys.FUZZY_CONFIG, gets the fuzzy prefix length and default similarity from it and
set to the fuzzy node.A class used to represent a set of many, potentially large, values (e.g.
Result from
FuzzySet.contains(BytesRef): can never return definitively YES (always
MAYBE), but can sometimes definitely return NO.Implements a fuzzy
AnalyzingSuggester.An interval function equivalent to
FuzzyQuery.Subclass of TermsEnum for enumerating all terms that are similar to the specified filter term.
Used for sharing automata between segments
Thrown to indicate that there was an issue creating a fuzzy query for a given term.
Analyzer for Galician.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies GalicianMinimalStemmer to stem Galician words.Factory for
GalicianMinimalStemFilter.Minimal Stemmer for Galician
A
TokenFilter that applies GalicianStemmer to stem Galician words.Factory for
GalicianStemFilter.Galician stemmer implementing "Regras do lematizador para o galego".
The Gener object helps in the discarding of nodes which break the reduction effort and defend the
structure against large reductions.
A class that traverses the entire dictionary and applies affix rules to check if those yield
correct suggestions similar enough to the given misspelled word
An per-document 3D location field.
Add this to a document to index lat/lon or x/y/z point, indexed as a 3D point.
Compares documents by distance from an origin point, using a GeoDistanceShape to compute the
distance
Compares documents by outside distance, using a GeoOutsideDistance to compute the distance
Sorts by outside distance from an origin location.
Sorts by distance from an origin location.
A GeoArea represents a standard 2-D breakdown of a part of sphere.
Factory for
GeoArea.Shape that implements GeoArea.
Base extended areaShape object.
All bounding box shapes can derive from this base class, which furnishes some common code
Base object that supports bounds operations.
GeoCircles have all the characteristics of GeoBaseDistanceShapes, plus GeoSizeable.
Base class to create a composite of GeoAreaShapes
Base class to create a composite of GeoMembershipShapes
Base class to create a composite of GeoShapes.
Distance shapes have capabilities of both geohashing and distance computation (which also
includes point membership determination).
Membership shapes have capabilities of both geohashing and membership determination.
GeoPaths have all the characteristics of GeoBaseDistanceShapes.
GeoBasePolygon objects are the base class of most GeoPolygon objects.
Base extended shape object.
All bounding box shapes have this interface in common.
Factory for
GeoBBox.Generic shape that supports bounds.
Interface describing circular area with a center and radius.
Class which constructs a GeoCircle representing an arbitrary circle.
GeoComplexPolygon objects are structures designed to handle very large numbers of edges.
Iterator execution interface, for tree traversal, plus count retrieval.
An instance of this class describes a single edge, and includes what is necessary to reliably
determine intersection in the context of the even/odd algorithm used.
Iterator execution interface, for tree traversal.
An instance of this class represents a node in a tree.
An interface describing a tree.
This is the x-tree.
This is the y-tree.
This is the z-tree.
GeoCompositeAreaShape is a set of GeoAreaShape's, treated as a unit.
GeoCompositeMembershipShape is a set of GeoMembershipShape's, treated as a unit.
GeoCompositePolygon is a specific implementation of GeoCompositeAreaShape, which implements
GeoPolygon explicitly.
GeoConcavePolygon objects are generic building blocks of more complex structures.
GeoConvexPolygon objects are generic building blocks of more complex structures.
Degenerate bounding box limited on two sides (left lon, right lon).
This GeoBBox represents an area rectangle of one specific latitude with no longitude bounds.
Degenerate longitude slice.
GeoShape representing a path across the surface of the globe, with a specified half-width.
This is the pre-calculated data for a path segment.
This is precalculated data for segment endpoint.
This class represents a degenerate point bounding box.
Degenerate bounding box limited on two sides (top lat, bottom lat).
An implementer of this interface is capable of computing the described "distance" values, which
are meant to provide both actual distance values, as well as distance estimates that can be
computed more cheaply.
Distance shapes have capabilities of both geohashing and distance computation (which also
includes point membership determination).
reusable geopoint encoding methods
A predicate that checks whether a given point is within a component2D geometry.
A predicate that checks whether a given point is within a distance of another point.
Circular area with a center and a radius that represents the surface distance to the center.
A temporary description of a section of circle.
A description of a section of circle.
This GeoBBox represents an area rectangle limited only in latitude.
Bounding box limited on left and right.
Membership shapes have capabilities of both geohashing and membership determination.
Base class for
LatLonGeometry and XYGeometryThis GeoBBox represents an area rectangle limited only in south latitude.
Bounding box limited on three sides (bottom lat, left lon, right lon), including the north pole.
Implemented by Geo3D shapes that can compute the distance from a point to the closest outside
edge.
Interface describing a path.
Class which constructs a GeoPath representing an arbitrary path.
This class represents a point on the surface of a sphere or ellipsoid.
Interface describing a GeoPointShape shape.It may represents a degenerated bounding box or a
degenerated circle, hence it extends such interfaces.
Class which constructs a GeoPointShape.
GeoPolygon interface description.
Class which constructs a GeoMembershipShape representing an arbitrary polygon.
Class for tracking the best shape for finding a pole, and whether or not the pole must be
inside or outside of the shape.
Class representing a single (unused) edge.
Class representing a pool of unused edges, all linked together by vertices.
Class representing an iterator over an EdgeBuffer.
Use this class to specify a polygon with associated holes.
An instance of this class represents a known-good path of nodes that contains no coplanar
points , no matter how assessed.
Exception we throw when we can't tile a polygon due to numerical precision issues.
Bounding box limited on four sides (top lat, bottom lat, left lon, right lon).
Fast implementation of a polygon representing S2 geometry cell.
Class which constructs a GeoPolygon representing S2 google pixel.
Generic shape.
Some shapes can compute radii of a geocircle in which they are inscribed.
This GeoBBox represents an area rectangle limited only in north latitude.
Bounding box limited on three sides (top lat, left lon, right lon).
Circular area with a center and cutoff angle that represents the latitude and longitude distance
from the center where the planet will be cut.
GeoShape representing a path across the surface of the globe, with a specified half-width.
Base implementation of SegmentEndpoint
Endpoint that's a simple circle.
Endpoint that's a dual circle with cutoff(s).
Endpoint that's a single circle with cutoff(s).
Path components consist of both path segments and segment endpoints.
This is the pre-calculated data for a path segment.
Internal interface describing segment endpoint implementations.
Basic reusable geo-spatial utility methods
used to define the orientation of 3 points -1 = Clockwise 0 = Colinear 1 = Counter-clockwise
Degenerate bounding box wider than PI and limited on two sides (left lon, right lon).
Bounding box wider than PI but limited on left and right sides ( left lon, right lon).
Bounding box wider than PI but limited on three sides ( bottom lat, left lon, right lon).
Bounding box wider than PI but limited on four sides (top lat, bottom lat, left lon, right lon).
Bounding box wider than PI but limited on three sides (top lat, left lon, right lon).
Bounding box including the entire world.
This class implements the stemming algorithm defined by a snowball script.
Analyzer for German language.A
TokenFilter that applies GermanLightStemmer to stem German words.Factory for
GermanLightStemFilter.Light Stemmer for German.
A
TokenFilter that applies GermanMinimalStemmer to stem German words.Factory for
GermanMinimalStemFilter.Minimal Stemmer for German.
Normalizes German characters according to the heuristics of the German2 snowball algorithm.
Factory for
GermanNormalizationFilter.A
TokenFilter that stems German words.Factory for
GermanStemFilter.A stemmer for German words.
This class implements the stemming algorithm defined by a snowball script.
Utility to get document frequency and total number of occurrences (sum of the tf for each doc) of
a term.
A collector that collects all ordinals from a specified field matching the query.
Formats text with different color intensity depending on the score of the term.
An abstract TokenFilter that exposes its input stream as a graph
Consumes a TokenStream and creates an
Automaton where the transition labels are terms
from the TermToBytesRefAttribute.Outputs the dot (graphviz) string for the viterbi lattice.
Outputs the dot (graphviz) string for the viterbi lattice.
Analyzer for the Greek language.Normalizes token text to lower case, removes some Greek diacritics, and standardizes final sigma
to sigma.
Factory for
GreekLowerCaseFilter.A
TokenFilter that applies GreekStemmer to stem Greek words.Factory for
GreekStemFilter.A stemmer for Greek words, according to: Development of a Stemmer for the Greek Language.
Georgios Ntais
This class implements the stemming algorithm defined by a snowball script.
Represents one group in the results.
Base class for computing grouped facets.
Represents a facet entry with a value and a count.
The grouped facet result.
Contains the local grouped segment counts for a particular segment.
Convenience class to perform grouping in a non distributed environment.
A
GroupQueryNode represents a location where the original user typed real parenthesis on
the query string.Builds no object, it only returns the
Query object set on the GroupQueryNode
object using a QueryTreeBuilder.QUERY_TREE_BUILDER_TAGID tag.Concrete implementations of this class define what to collect for individual groups during the
second-pass of a grouping search.
Defines a group, for use by grouping collectors
What to do with the current value
This class contains utility methods and constants for group varint
Provides an abstraction for read int values, so that decoding logic can be reused in different
DataInput.
Implements
PackedInts.Mutable, but grows the bit count of the underlying packed ints
on-demand.An indexed
half-float field for fast range filters.This directory wrapper overrides
Directory.copyFrom(Directory, String, String, IOContext)
in order to optionally use a hard-link instead of a full byte by byte file copy if applicable.Constants for primitive maps.
Base class for hashing functions that can be referred to by name.
Utility class to read buffered points from in-heap arrays.
Utility class to write new points into in-heap arrays.
Reusable implementation for a point value on-heap
Finds the optimal segmentation of a sentence into Chinese words
HighFreqTerms class extracts the top n most frequent terms (by document frequency)
from an existing Lucene index and reports their document frequency.Compares terms by docTermFreq
Priority queue for TermStats objects
Compares terms by totalTermFreq
HighFrequencyDictionary: terms taken from the given field of a Lucene index, which appear in a
number of documents above a given threshold.
Marks up highlighted terms found in the best sections of text, using configurable
Fragmenter, Scorer, Formatter, Encoder and tokenizers.QueryMatch object that contains the hit positions of a matching Query
Represents an individual hit
Analyzer for Hindi.
Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies HindiNormalizer to normalize the orthography.Factory for
HindiNormalizationFilter.Normalizer for Hindi.
A
TokenFilter that applies HindiStemmer to stem Hindi words.Factory for
HindiStemFilter.Light Stemmer for Hindi.
This class implements the stemming algorithm defined by a snowball script.
Expert: Priority queue containing hit docs
Used for defining custom algorithms to allow searches to early terminate
Implementation of HitsThresholdChecker which allows global hit counting
Default implementation of HitsThresholdChecker to be used for single threaded execution
Tokenizer for Chinese or mixed Chinese-English text.
Factory for
HMMChineseTokenizerEncodes bit vector values into an associated graph connecting the documents having values.
Interface for builder building the
OnHeapHnswGraphA graph builder that manages multiple workers, it only supports adding the whole graph all at
once.
This searcher will obtain the lock and make a copy of neighborArray when seeking the graph such
that concurrent modification of the graph will not impact the search
Hierarchical Navigable Small World graph.
NodesIterator that accepts nodes as an integer array.
Nodes iterator based on set representation of nodes.
Iterator over the graph nodes on a certain level, Iterator also provides the size – the total
number of nodes to be iterated over.
Builder for HNSW graph.
A restricted, specialized knnCollector that can be used when building a graph.
Abstraction of merging multiple graphs into one on-heap graph
An interface that provides an HNSW graph.
Searches an HNSW graph to find nearest neighbors to a query vector.
This class allows
OnHeapHnswGraph to be searched in a thread-safe manner by avoiding
the unsafe methods (seek and nextNeighbor, which maintain state in the graph object) and
instead maintaining the state in the searcher object.Provide (read-and-write) locked access to rows of an OnHeapHnswGraph.
Utilities for use in tests involving HNSW graphs
A component (also "connected component") of an undirected graph is a collection of nodes that
are connected by neighbor links: every node in a connected component is reachable from every
other node in the component.
Accessor to get Hotspot VM Options (if available).
A CharFilter that wraps another Reader and attempts to strip out HTML constructs.
Factory for
HTMLStripCharFilter.A simple query wrapper for debug purposes.
Analyzer for Hungarian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies HungarianLightStemmer to stem Hungarian words.Factory for
HungarianLightStemFilter.Light Stemmer for Hungarian.
This class implements the stemming algorithm defined by a snowball script.
A spell checker based on Hunspell dictionaries.
TokenFilter that uses hunspell affix rules and words to stem tokens.
TokenFilterFactory that creates instances of
HunspellStemFilter.This class represents a hyphen.
When the plain text is extracted from documents, we will often have many words hyphenated and
broken into two lines.
Factory for
HyphenatedWordsFilter.This class represents a hyphenated word.
A
TokenFilter that decomposes compound words found in many
Germanic languages.Factory for
HyphenationCompoundWordTokenFilter.This tree structure stores the hyphenation patterns in an efficient way for fast lookup.
Provides a framework for the family of information-based models, as described in Stéphane
Clinchant and Eric Gaussier.
Extension of
CharTermAttributeImpl that encodes the term text as a binary Unicode
collation key instead of as UTF-8 bytes.Converts each token into its
CollationKey, and then encodes bytes as an
index term.Indexes collation keys as a single-valued
SortedDocValuesField.Configures
KeywordTokenizer with ICUCollationAttributeFactory.A TokenFilter that applies search term folding to Unicode text, applying foldings from UTR#30
Character Foldings.
Factory for
ICUFoldingFilter.Normalize token text with ICU's
Normalizer2.Factory for
ICUNormalizer2CharFilterNormalize token text with ICU's
Normalizer2Factory for
ICUNormalizer2FilterBreaks text into words according to UAX #29: Unicode Text Segmentation
(http://www.unicode.org/reports/tr29/)
Class that allows for tailored Unicode Text Segmentation on a per-writing system basis.
Factory for
ICUTokenizer.A
TokenFilter that transforms text with ICU.Wrap a
CharTermAttribute with the Replaceable API.Factory for
ICUTransformFilter.Does nothing other than convert the char array to a byte array using the specified encoding.
Function that returns
#idf(long, long) for every document.A PostingsFormat optimized for primary-key (ID) fields that also record a version (long) for each
ID, delivered as a payload created by
IDVersionPostingsFormat.longToBytes(long, org.apache.lucene.util.BytesRef) during indexing.Iterates through terms in this field; this class is public so users can cast it to call
IDVersionSegmentTermsEnum.seekExact(BytesRef, long) for optimistic-concurrency, and also IDVersionSegmentTermsEnum.getVersion() to get the
version of the currently seek'd term.Depending on the boolean value of the
ifSource function, returns the value of the
trueSource or falseSource function.Annotation to not test a class or constructor with
TestRandomChains integration test.Per-document scoring factors.
Information about upcoming impacts, ie.
DocIdSetIterator that skips non-competitive docs thanks to the indexed impacts.Extension of
PostingsEnum which also provides information about upcoming impacts.Source of
Impacts.This selects the biggest Hnsw graph from the provided merge state and initializes a new
HnswGraphBuilder with that graph as a starting point.
Computes the measure of divergence from independence for DFI scoring functions.
Normalized chi-squared measure of distance from independence
Saturated measure of distance from independence
Standardized measure of distance from independence
Represents a single field for indexing.
Describes the properties of a field.
Expert: represents a single commit into an index as seen by the
IndexDeletionPolicy or
IndexReader.Expert: policy for deletion of stale
index commits.Immutable stateless index dictionary kept in RAM.
Stateful
IndexDictionary.Browser to seek a term in this IndexDictionary and get
its corresponding block file pointer in the block file.Supplier for a new stateful
IndexDictionary.Browser created on the immutable IndexDictionary.Builds an immutable
IndexDictionary.Disk-based implementation of a
DocIdSetIterator which can return the index of the current
document, i.e.Disk-based implementation of a
DocIdSetIterator which can return the index of the current
document, i.e.Disk-based implementation of a
DocIdSetIterator which can return the index of the current
document, i.e.This class keeps track of each SegmentInfos instance that is still "live", either because it
corresponds to a segments_N file in the Directory (a "commit", i.e.
Holds details for each commit point.
This class contains useful constants representing filenames and extensions used by lucene, as
well as convenience methods for querying whether a file name matches an extension (
matchesExtension), as well as generating file names from a
segment name, generation and extension ( fileNameFromGeneration, segmentFileName).This exception is thrown when Lucene detects an index that is newer than this Lucene version.
This exception is thrown when Lucene detects an index that is too old for this Lucene version
Default general purpose indexing chain, which handles indexing all types of fields.
A schema of the field in the current document.
Abstract base class for input from a file in a
Directory.Merges indices specified on the command line into the index specified as the first command line
argument.
Signals that no index was found in the Directory.
Controls how much information is stored in the postings lists.
A query that uses either an index structure (points or terms) or doc values in order to run a
query, depending which one is more efficient.
A
DataOutput for appending data to a file in a Directory.Access to
org.apache.lucene.index package internals exposed to the test framework.Public type exposing
FieldInfo internal builders.IndexReader is an abstract class, providing an interface for accessing a point-in-time view of an
index.
A utility class that gives hooks in order to help build a cache based on the data that is
contained in this index.
A cache key identifying a resource that is being cached on.
A listener that is called when a resource gets closed.
A struct like class that represents a hierarchical relationship between
IndexReader
instances.Class exposing static helper methods for generating DoubleValuesSource instances over some
IndexReader statistics
Copy and rearrange index according to document selectors, from input dir to output dir.
Select document within a CodecReader
Implements search over a single IndexReader.
Supplier for
IndexSearcher.LeafSlice slices which computes and caches the value on first invocation
and returns cached value on subsequent invocation.A class holding a subset of the
IndexSearchers leaf contexts to be executed within a
single thread.Thrown when an attempt is made to add more than
IndexSearcher.TooManyClauses.getMaxClauseCount() clauses.Thrown when a client attempts to execute a Query that has more than
IndexSearcher.TooManyClauses.getMaxClauseCount() total clauses cumulatively in all of its children.Handles how documents should be sorted in an index, both within a segment and between segments.
Used for sorting documents across segments
A comparator of doc IDs, used for sorting documents within a segment
Sorts documents based on double values from a NumericDocValues instance
Sorts documents based on float values from a NumericDocValues instance
Sorts documents based on integer values from a NumericDocValues instance
Sorts documents based on long values from a NumericDocValues instance
Provide a NumericDocValues instance for a LeafReader
Provide a SortedDocValues instance for a LeafReader
Sorts documents based on terms from a SortedDocValues instance
A range query that can take advantage of the fact that the index is sorted to speed up execution.
A doc ID set iterator that wraps a delegate iterator and only returns doc IDs in the range
[firstDocInclusive, lastDoc).
Provides a
DocIdSetIterator along with an accurate count of documents provided by the
iterator (or -1 if an accurate count is unknown).Compares the given document's value with a stored reference value.
Command-line tool that enables listing segments in an index, copying specific segments to another
index, and deleting segments from an index.
This is an easy-to-use tool that upgrades all segments of an index from previous Lucene versions
to the current segment file format.
An
IndexWriter creates and maintains an index.DocStats for this index
Interface for internal atomic events.
If
DirectoryReader.open(IndexWriter) has been called (ie, this writer is in near
real-time mode), then after a merge completes, this class can be invoked to warm the reader on
the newly merged segment, before the merge commits.Access to
IndexWriter internals exposed to the test framework.Holds all the configuration that is used to create an
IndexWriter.Specifies the open mode for
IndexWriter.A callback event listener for recording key events happened inside IndexWriter
A
TokenFilter that applies IndicNormalizer to normalize text in Indian Languages.Factory for
IndicNormalizationFilter.Normalizes the Unicode representation of text in Indian languages.
Analyzer for Indonesian (Bahasa)
Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies IndonesianStemmer to stem Indonesian words.Factory for
IndonesianStemFilter.Stemmer for Indonesian.
This class implements the stemming algorithm defined by a snowball script.
A Query that matches documents matching combinations of subqueries.
Combines scores of subscorers.
The Weight for IndriAndQuery, used to normalize, score and explain these queries.
Bayesian smoothing using Dirichlet priors as implemented in the Indri Search engine
(http://www.lemurproject.org/indri.php).
Models
p(w|C) as the number of occurrences of the term in the collection, divided by
the total number of tokens + 1.The Indri implemenation of a disjunction scorer which stores the subscorers for the child
queries.
A Basic abstract query that all IndriQueries can extend to implement toString, equals,
getClauses, and iterator.
The Indri parent scorer that stores the boost so that IndriScorers can use the boost outside of
the term.
An indexed 128-bit
InetAddress field.An indexed InetAddress Range Field
Attribute for Kuromoji inflection data.
Attribute for Kuromoji inflection data.
Debugging API for Lucene classes such as
IndexWriter and SegmentInfos.This creates a graph builder that is initialized with the provided HnswGraph.
An
BytesRefSorter that keeps all the entries in memory.Sorter implementation based on the merge-sort algorithm that merges in place (no extra
memory will be allocated).Interface for enumerating term,weight,payload triples for suggester consumption; currently only
AnalyzingSuggester, FuzzySuggester and AnalyzingInfixSuggester support
payloads.Wraps a BytesRefIterator as a suggester InputIterator, with all weights set to
1
and carries no payloadA
DataInput wrapping a plain InputStream.An array-backed list of
int.An iterator implementation for
IntArrayList.iterator().Add an instance of this to your
Document to add a facet label associated with an int.A pool for int blocks similar to
ByteBlockPoolAbstract class for allocating and freeing int blocks.
A simple
IntBlockPool.Allocator that never recycles.Comparator based on
Integer.compare(int, int) for numHits.Forked from HPPC, holding int index and int value.
Abstract
FunctionValues implementation which supports retrieving int values.A hash map of
int to double, implemented using open addressing with
linear probing for collision resolution.Forked from HPPC, holding int index,key and value
Encode a character array Integer as a
BytesRef.The "intersect"
TermsEnum response to UniformSplitTerms.intersect(CompiledAutomaton, BytesRef), intersecting the terms with an
automaton.Block iteration order.
This is used to implement efficient
Terms.intersect(org.apache.lucene.util.automaton.CompiledAutomaton, org.apache.lucene.util.BytesRef) for block-tree.This is used to implement efficient
Terms.intersect(org.apache.lucene.util.automaton.CompiledAutomaton, org.apache.lucene.util.BytesRef) for block-tree.Constructs an
IntervalsSource based on analyzed text.Wraps an
IntervalIterator and passes through those intervals that match the IntervalFilter.accept() functionRepresentation of an interval function that can be converted to
IntervalsSource.A
DocIdSetIterator that also allows iteration over matching intervals in a document.An extension of MatchesIterator that allows it to be treated as an IntervalIterator
A query that retrieves documents containing intervals returned from an
IntervalsSourceNode that represents an interval function.
Builds a
Query from an IntervalQueryNode.This processor makes sure that
StandardQueryConfigHandler.ConfigurationKeys.ANALYZER is defined in the QueryConfigHandler and injects this analyzer into IntervalQueryNodes.Factory functions for creating
interval sources.A helper class for
IntervalQuery that provides an IntervalIterator for a given
field and segmentA specialised ordinal iterator that supports write (set and clear) operations.
Interval Tracker that tracks data for multiple intervals.
A
FacetSet which encodes integer dimension values.Field that stores a per-document
int value for scoring, sorting or value retrieval
and index the field for fast range filters.Obtains int field values from
LeafReader.getNumericDocValues(java.lang.String) and
makes those values available as other numeric types, casting as needed.A hash map of
int to float, implemented using open addressing with
linear probing for collision resolution.Forked from HPPC, holding int index,key and value
A hash set of
ints, implemented using open addressing with linear probing for
collision resolution.A hash map of
int to int, implemented using open addressing with linear
probing for collision resolution.Forked from HPPC, holding int index,key and value
A hash map of
int to long, implemented using open addressing with
linear probing for collision resolution.Forked from HPPC, holding int index,key and value
A hash map of
int to Object, implemented using open addressing with
linear probing for collision resolution.Forked from HPPC, holding int index,key and value
An indexed
int field for fast range filters.Builder for multi range queries for IntPoints
An indexed Integer Range field.
DocValues field for IntRange.
Adaptive selection algorithm based on the introspective quick select algorithm.
An FST
Outputs implementation where each output is a sequence of ints.Represents int[], as a slice (offset + length) into an existing int[].
A builder for
IntsRef instances.Enumerates all input (IntsRef) + output pairs in an FST.
Holds a single input (IntsRef) + output pair.
Deprecated.
Visibility of this class will be reduced to pkg-private in a future version.
Native int to int function
Exception thrown if TokenStream Tokens are incompatible with provided text
Describes how an
IndexableField should be inverted for indexing terms and postings.An IO operation with a single input that may throw an IOException.
IOContext holds additional details on the merge/search context.
Context is a enumerator which specifies the context in which the Directory is being used for.
A Function that may throw an IOException
A Runnable that may throw an IOException
This is a result supplier that is allowed to throw an IOException.
Utilities for dealing with
Closeables.Deprecated, for removal: This API element is subject to removal in a future version.
was replaced by
IOConsumer.Deprecated, for removal: This API element is subject to removal in a future version.
was replaced by
IOFunction.Analyzer for Irish.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
Normalises token text to lower case, handling t-prothesis and n-eclipsis (i.e., that 'nAthair'
should become 'n-athair')
Factory for
IrishLowerCaseFilter.This class implements the stemming algorithm defined by a snowball script.
Analyzer for Italian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies ItalianLightStemmer to stem Italian words.Factory for
ItalianLightStemFilter.Light Stemmer for Italian.
This class implements the stemming algorithm defined by a snowball script.
Analyzer for Japanese that uses morphological analysis.
Atomically loads DEFAULT_STOP_SET, DEFAULT_STOP_TAGS in a lazy fashion once the outer class
accesses the static final set the first time.
Replaces term text with the
BaseFormAttribute.Factory for
JapaneseBaseFormFilter.Analyzer for Japanese completion suggester.
A
TokenFilter that adds Japanese romanized tokens to the term
attribute.Completion mode
Factory for
JapaneseCompletionFilter.Utility methods for Japanese filters.
A
TokenFilter that normalizes small letters (捨て仮名) in hiragana into normal letters.Factory for
JapaneseHiraganaUppercaseFilter.Normalizes Japanese horizontal iteration marks (odoriji) to their expanded form.
Factory for
JapaneseIterationMarkCharFilter.A
TokenFilter that normalizes common katakana spelling variations ending in a long sound
character by removing this character (U+30FC).Factory for
JapaneseKatakanaStemFilter.A
TokenFilter that normalizes small letters (捨て仮名) in katakana into normal letters.Factory for
JapaneseKatakanaUppercaseFilter.A
TokenFilter that normalizes Japanese numbers (kansūji) to regular Arabic decimal
numbers in half-width characters.Buffer that holds a Japanese number string and a position index used as a parsed-to marker
Factory for
JapaneseNumberFilter.Removes tokens that match a set of part-of-speech tags.
Factory for
JapanesePartOfSpeechStopFilter.A
TokenFilter that replaces the term attribute with the
reading of a token in either katakana or romaji form.Factory for
JapaneseReadingFormFilter.Tokenizer for Japanese that uses morphological analysis.
Tokenization mode: this determines how the tokenizer handles compound and unknown words.
Token type reflecting the original source of this token
Factory for
JapaneseTokenizer.Similarity measure for short strings such as person names.
InfoStream implementation that logs every message using Java Utils Logging (JUL) with the
supplied log level.
This class provides an empty implementation of
JavascriptVisitor, which can be extended
to create a visitor which only needs to handle a subset of the available methods.An expression compiler for javascript expressions.
Overrides the ANTLR 4 generated JavascriptLexer to allow for proper error handling
Allows for proper error handling in the ANTLR 4 parser
This interface defines a complete generic visitor for a parse tree produced by
JavascriptParser.Use a field value and find the Document Frequency within another field.
Utility for query time joining.
Similar to
LongFunction for primitive argument and result.Similar to
BiConsumer for primitive arguments.Converts a Katakana string to Romaji using the pre-defined
Katakana-Romaji mapping rules.
This
IndexDeletionPolicy implementation that keeps only the most recent commit and
immediately removes all prior commits after a new commit is done.A TokenFilter that only keeps tokens with text contained in the required words.
Factory for
KeepWordFilter."Tokenizes" the entire stream as a single token.
This attribute can be used to mark a token as a keyword.
Default implementation of
KeywordAttribute.Field that indexes a per-document String or
BytesRef into an inverted index for fast
filtering, stores values in a columnar fashion using DocValuesType.SORTED_SET doc values
for sorting and faceting, and optionally stores values as stored fields for top-hits retrieval.Marks terms as keywords via the
KeywordAttribute.Factory for
KeywordMarkerFilter.This TokenFilter emits each incoming token twice once as keyword and once non-keyword, in other
words once with
KeywordAttribute.setKeyword(boolean) set to true and once
set to false.Factory for
KeywordRepeatFilter.Emits the entire input as a single token.
Factory for
KeywordTokenizer.A k-Nearest Neighbor classifier based on
NearestFuzzyQuery.A k-Nearest Neighbor classifier (see
http://en.wikipedia.org/wiki/K-nearest_neighbors
) based on MoreLikeThisA k-Nearest Neighbor Document classifier (see
http://en.wikipedia.org/wiki/K-nearest_neighbors) based on MoreLikeThis .A field that contains a single byte numeric vector (or none) for each document.
Uses
KnnVectorsReader.search(String, byte[], KnnCollector, Bits) to perform nearest
neighbour search.KnnCollector is a knn collector used for gathering kNN results and providing topDocs from the
gathered neighbors
KnnCollectorManager responsible for creating
KnnCollector instances.Vectors' writer for a field
A field that contains a single floating-point numeric vector (or none) for each document.
Uses
KnnVectorsReader.search(String, float[], KnnCollector, Bits) to perform nearest
neighbour search.Deprecated.
use
KnnFloatVectorField insteadDeprecated.
Use
FieldExistsQuery instead.Deprecated.
use
KnnFloatVectorQuery insteadEncodes/decodes per-document vector and any associated indexing structures required to support
nearest-neighbor search
This static holder class prevents classloading deadlock by delaying init of doc values formats
until needed.
Reads vectors from an index.
Writes vectors to an index.
Tracks state of one sub-reader that we are merging
View over multiple vector values supporting iterator-style access via DocIdMerger.
Analyzer for Korean that uses morphological analysis.
A
TokenFilter that normalizes Korean numbers to regular Arabic decimal numbers in
half-width characters.Buffer that holds a Korean number string and a position index used as a parsed-to marker
Factory for
KoreanNumberFilter.Removes tokens that match a set of part-of-speech tags.
Factory for
KoreanPartOfSpeechStopFilter.Replaces term text with the
ReadingAttribute which is the Hangul transcription of Hanja
characters.Factory for
KoreanReadingFormFilter.Tokenizer for Korean that uses morphological analysis.
Decompound mode: this determines how the tokenizer handles
POS.Type.COMPOUND, POS.Type.INFLECT and POS.Type.PREANALYSIS tokens.Token type reflecting the original source of this token
Factory for
KoreanTokenizer.This class implements the stemming algorithm defined by a snowball script.
A list of words used by Kstem
A list of words used by Kstem
A list of words used by Kstem
A list of words used by Kstem
A list of words used by Kstem
A list of words used by Kstem
A list of words used by Kstem
A list of words used by Kstem
A high-performance kstem filter for english.
Factory for
KStemFilter.This class implements the Kstem algorithm
Single label and its value, usually contained in a
FacetResult.Associates a label with a CharArrayMatcher to distinguish different sources for terms in
highlighting
Label to ord mapping interface.
Abstract class for storing Label->Ordinal mappings in a taxonomy.
The lambda (λw) parameter in information-based models.
Computes lambda as
docFreq+1 / numberOfDocuments+1.Computes lambda as
totalTermFreq+1 / numberOfDocuments+1.Optimized collector for large number of hits.
An indexed 2-Dimension Bounding Box field for the Geospatial Lat/Lon Coordinate system
An object for accumulating latitude/longitude bounds information.
Distance query for
LatLonDocValuesField.An per-document location field.
Finds all previously indexed geo points that comply the given
ShapeField.QueryRelation
with the specified array of LatLonGeometry.Lat/Lon Geometry object.
An indexed location field.
Compares documents by distance from an origin point
Distance query for
LatLonPoint.Holder class for prototype sandboxed queries
Finds all previously indexed geo points that comply the given
ShapeField.QueryRelation with the
specified array of LatLonGeometry.Sorts by distance from an origin location.
An geo shape utility class for indexing and searching gis geometries whose vertices are latitude,
longitude values (in decimal degrees).
Finds all previously indexed geo shapes that intersect the specified bounding box.
Holds spatial logic for a bounding box that works in the encoded space
A concrete implementation of
ShapeDocValues for storing binary doc value representation
of LatLonShape geometries in a LatLonShapeDocValuesFieldConcrete implementation of a
ShapeDocValuesField for geographic geometries.Bounding Box query for
ShapeDocValuesField representing XYShapeFinds all previously indexed geo shapes that comply the given
ShapeField.QueryRelation with the
specified array of LatLonGeometry.Analyzer for Latvian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies LatvianStemmer to stem Latvian words.Factory for
LatvianStemFilter.Light stemmer for Latvian.
Defers actually loading a field's value until you ask for it.
Collector decouples the score from the collected doc: the score computation is skipped entirely
if it's not needed.
Interface to be implemented to cut documents into facets for an index segment (leaf).
Record data for each facet of each doc of a leaf (segment).
Expert: comparator that gets instantiated on each leaf from a top-level
FieldComparator
instance.Provides read-only metadata about a leaf.
LeafReader is an abstract class, providing an interface for accessing an index.IndexReaderContext for LeafReader instances.Similarity.SimScorer on a specific LeafReader.Retrieves an instance previously written by
LegacyDirectMonotonicWriter.In-memory metadata that needs to be kept around for
LegacyDirectMonotonicReader to read
data from disk.Write monotonically-increasing sequences of integers.
Retrieves an instance previously written by
LegacyDirectWriterClass for writing packed integers to be directly read from Directory.
Immutable version of
Packed64 which is constructed from am existing DataInput.This class is similar to
LegacyPacked64 except that it trades space for speed by ensuring
that a single block needs to be read/written in order to read/write a value.Legacy PackedInts operations.
Removes words that are too long or too short from the stream.
Factory for
LengthFilter.Wraps another
BreakIterator to skip past breaks that would result in passages that are
too short.A LetterTokenizer is a tokenizer that divides text at non-letters.
Factory for
LetterTokenizer.Parametric description for generating a Levenshtein automaton of degree 1.
Parametric description for generating a Levenshtein automaton of degree 1, with transpositions as
primitive edits.
Parametric description for generating a Levenshtein automaton of degree 2.
Parametric description for generating a Levenshtein automaton of degree 2, with transpositions as
primitive edits.
Class to construct DFAs that match a word within some edit distance.
A ParametricDescription describes the structure of a Levenshtein DFA for some degree n.
Levenshtein edit distance class.
The Lift class is a data structure that is a variation of a Patricia trie.
Builder for
MoreLikeThisQueryFiniteStringsIterator which limits the number of iterated accepted strings.This Analyzer limits the number of tokens while indexing.
This TokenFilter limits the number of tokens while indexing.
Factory for
LimitTokenCountFilter.Lets all tokens pass through until it sees one with a start offset <= a configured limit,
which won't pass and ends the stream.
This is a simplified version of org.apache.lucene.analysis.miscellaneous.LimitTokenOffsetFilter
to prevent a dependency on analysis-common.jar.
Factory for
LimitTokenOffsetFilter.This TokenFilter limits its emitted tokens to those with positions that are not greater than the
configured limit.
Factory for
LimitTokenPositionFilter.Represents a line on the earth's surface.
2D geo line implementation represented as a balanced interval tree of edges.
Linear distance computation style.
LinearFloatFunction implements a linear function over another ValueSource.Linear squared distance computation style.
Wraps another Outputs implementation and encodes one or more of its output values.
Pass a the field value through as a String, no matter the type // Q: doesn't this mean it's a
"string"?
Analyzer for Lithuanian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
Format for live/deleted documents
Tracks live field values across NRT reader reopens.
Holds all the configuration used by
IndexWriter with few setters for settings that can be
changed on an IndexWriter instance "live".Bayesian smoothing using Dirichlet priors.
Language model based on the Jelinek-Mercer smoothing method.
Abstract superclass for language modeling Similarities.
A strategy for computing the collection language model.
Models
p(w|C) as the number of occurrences of the term in the collection, divided by
the total number of tokens + 1.Stores the collection distribution of the current term.
An interprocess mutex lock.
A
ConcurrentApproximatePriorityQueue of Lock objects.Base class for Locking implementation.
This exception is thrown when the
write.lock could not be acquired.This exception is thrown when the
write.lock could not be released.Simple standalone tool that forever acquires and releases a lock using a specific
LockFactory.This class makes a best-effort check that a provided
Lock is valid before any destructive
filesystem operation.Simple standalone server that must be running when you use
VerifyingLockFactory.This is a
LogMergePolicy that measures size of a segment as the total byte size of the
segment's files.This is a
LogMergePolicy that measures size of a segment as the number of documents (not
taking deletions into account).This class implements a
MergePolicy that tries to merge segments into levels of
exponentially increasing size, where each level has fewer segments than the value of the merge
factor.FacetRecorder that computes multiple long aggregations per facet.An array-backed list of
long.An iterator implementation for
LongArrayList.iterator().BitSet of fixed length (numBits), backed by accessible (
LongBitSet.getBits()) long[], accessed with a
long index.Comparator based on
Long.compare(long, long) for numHits.Forked from HPPC, holding int index and long value.
Abstract
FunctionValues implementation which supports retrieving long values.A
FacetSet which encodes long dimension values.Field that stores a per-document
long value for scoring, sorting or value retrieval
and index the field for fast range filters.Obtains long field values from
LeafReader.getNumericDocValues(java.lang.String) and
makes those values available as other numeric types, casting as needed.A hash map of
long to float, implemented using open addressing with
linear probing for collision resolution.Forked from HPPC, holding int index,key and value
A hash set of
longs, implemented using open addressing with linear probing for
collision resolution.A min heap that stores longs; a primitive priority queue that like all priority queues maintains
a partial ordering of its elements such that the least element can always be found in constant
time.
A hash map of
long to int, implemented using open addressing with
linear probing for collision resolution.Forked from HPPC, holding int index,key and value
A hash map of
long to Object, implemented using open addressing with
linear probing for collision resolution.Forked from HPPC, holding int index,key and value
An indexed
long field for fast range filters.Builder for multi range queries for LongPoints
An indexed Long Range field.
Represents a range over long values.
Represents a long range for RangeOnRange faceting
Represents a contiguous range of long values, with an inclusive minimum and exclusive maximum
Counter for numeric ranges.
DocValues field for LongRange.
Facets implementation that computes counts for dynamic long ranges.FacetCutter for ranges of long values.Groups double values into ranges
A GroupSelector implementation that groups documents by long values
Holds one node of the segment tree.
Represents counts for long range on range faceting.
Represents long[], as a slice (offset + length) into an existing long[].
Facets implementation that computes counts for all unique long values, more efficiently
counting small values (0-1023) using an int array, and switching to a HashMap for
values above 1023.Reusable hash entry to hold long facet value and int count.
FacetCutter and OrdToLabel for distinct long values.LongIntHashMap with threadsafe computeIfAbsent methodPer-segment, per-document long values, which can be calculated at search-time
Abstraction over an array of longs.
Base class for producing
LongValuesA ConstantLongValuesSource that always returns a constant value
Simple Lookup interface for
CharSequence suggestions.A
PriorityQueue collecting a fixed size of high priority Lookup.LookupResultResult of a lookup.
This class implements the stemming algorithm defined by a snowball script.
Utility class that can efficiently compress arrays that mostly contain characters in the
[0x1F,0x3F) or [0x5F,0x7F) ranges, which notably include all digits, lowercase characters, '.',
'-' and '_'.
Normalizes token text to lower case.
Normalizes token text to lower case.
Factory for
LowerCaseFilter.LRUHashMap is an extension of Java's HashMap, which has a bounded size(); When it reaches that
size, each time a new element is added, the least recently used (LRU) entry is removed.
A
QueryCache that evicts queries using a LRU (least-recently-used) eviction policy in
order to remain under a given maximum size and number of bytes used.Cache of doc ids with a count.
LRU
TaxonomyWriterCache - good choice for huge taxonomies.Determines cache type.
A LSB Radix sorter for unsigned int values.
A block-based terms index and dictionary that assigns terms to variable length blocks according
to how they share prefixes.
Lucene 5.0 compound file format
Class for accessing a compound stream.
Offset/Length for a slice inside of a compound file
A
StoredFieldsFormat that compresses documents in chunks in order to improve the
compression ratio.A serialized document, you need to decode its input in order to get an actual
Document.A
TermVectorsFormat that compresses chunks of documents together in order to improve the
compression ratio.Lucene 5.0 live docs format
Lucene 5.0 postings format, which encodes postings in packed integer blocks for fast decode.
Holds all state required for
Lucene50PostingsReader to produce a PostingsEnum without re-seeking the terms dict.Concrete class that reads docId(maybe frq,pos,offset,payloads) list with postings format.
Implements the skip list reader for block postings format that stores positions and payloads.
Lucene 5.0 stored fields format.
Configuration option for stored fields.
Lucene 5.0
term vectors format.Lucene 6.0 Field Infos format.
Lucene 6.0 point format, which encodes dimensional values in a block KD-tree structure for fast
1D range and N dimensional shape intersection filtering.
Reads point values previously written with Lucene60PointsWriter
Implements the Lucene 7.0 index format, with configurable per-field postings and docvalues
formats.
writer for
Lucene70DocValuesFormatLucene 7.0 DocValues format.
reader for
Lucene70DocValuesFormatLucene 7.0 Score normalization format.
Reader for
Lucene70NormsFormatLucene 7.0 Segment info format.
Implements the Lucene 8.0 index format.
writer for
Lucene80DocValuesFormatLucene 8.0 DocValues format.
Configuration option for doc values.
reader for
Lucene80DocValuesFormatLucene 8.0 Score normalization format.
Reader for
Lucene80NormsFormatImplements the Lucene 8.4 index format, with configurable per-field postings and docvalues
formats.
Lucene 5.0 postings format, which encodes postings in packed integer blocks for fast decode.
Holds all state required for
Lucene84PostingsReader to produce a PostingsEnum without re-seeking the terms dict.Concrete class that reads docId(maybe frq,pos,offset,payloads) list with postings format.
Implements the skip list reader for block postings format that stores positions and payloads.
Implements the Lucene 8.6 index format, with configurable per-field postings and docvalues
formats.
Lucene 8.6 point format, which encodes dimensional values in a block KD-tree structure for fast
1D range and N dimensional shape intersection filtering.
Reads point values previously written with Lucene86PointsWriter
Lucene 8.6 Segment info format.
Implements the Lucene 8.6 index format, with configurable per-field postings and docvalues
formats.
Configuration option for the codec.
Lucene 8.7 stored fields format.
Configuration option for stored fields.
A block-based terms index and dictionary that assigns terms to variable length blocks according
to how they share prefixes.
Block-based terms index and dictionary writer.
A helper class for an hnsw graph that serves as a comparator of the currently set bound value
with a new value.
A helper class for an hnsw graph that serves as a comparator of the currently set maximum value
with a new value.
A helper class for an hnsw graph that serves as a comparator of the currently set minimum value
with a new value.
Implements the Lucene 9.0 index format
Configuration option for the codec.
Lucene 9.0 compound file format
Class for accessing a compound stream.
Offset/Length for a slice inside of a compound file
A
StoredFieldsFormat that compresses documents in chunks in order to improve the
compression ratio.A serialized document, you need to decode its input in order to get an actual
Document.A
TermVectorsFormat that compresses chunks of documents together in order to improve the
compression ratio.writer for
Lucene90DocValuesFormatLucene 9.0 DocValues format.
reader for
Lucene90DocValuesFormatLucene 9.0 Field Infos format.
Builder for HNSW graph.
Lucene 9.0 vector format, which encodes numeric vector values and an optional associated graph
connecting the documents having values.
Reads vectors from the index segments along with index data structures supporting KNN search.
Read the vector values from the index input.
Read the nearest-neighbors graph from the index input
Lucene 9.0 live docs format
NeighborArray encodes the neighbors of a node and their mutual scores in the HNSW graph as a pair
of growable arrays.
Writer for
Lucene90NormsFormatLucene 9.0 Score normalization format.
Reader for
Lucene90NormsFormatAn
HnswGraph where all nodes and connections are held in memory.Lucene 9.0 point format, which encodes dimensional values in a block KD-tree structure for fast
1D range and N dimensional shape intersection filtering.
Reads point values previously written with
Lucene90PointsWriterWrites dimensional values
Lucene 9.0 postings format, which encodes postings in packed integer blocks for fast decode.
Holds all state required for
Lucene90PostingsReader to produce a PostingsEnum without re-seeking the terms dict.Concrete class that reads docId(maybe frq,pos,offset,payloads) list with postings format.
Concrete class that writes docId(maybe frq,pos,offset,payloads) list with postings format.
Lucene 9.0 Segment info format.
Implements the skip list reader for block postings format that stores positions and payloads.
Write skip lists with multiple levels, and support skip within block ints.
Lucene 9.0 stored fields format.
Configuration option for stored fields.
Lucene 9.0
term vectors format.Implements the Lucene 9.12 index format
Configuration option for the codec.
Lucene 9.12 postings format, which encodes postings in packed integer blocks for fast decode.
Holds all state required for
Lucene912PostingsReader to produce a PostingsEnum without re-seeking the terms dict.Concrete class that reads docId(maybe frq,pos,offset,payloads) list with postings format.
Writer for
Lucene912PostingsFormat.A helper class for an hnsw graph that serves as a comparator of the currently set bound value
with a new value.
A helper class for an hnsw graph that serves as a comparator of the currently set maximum value
with a new value.
A helper class for an hnsw graph that serves as a comparator of the currently set minimum value
with a new value.
Implements the Lucene 9.1 index format
Configuration option for the codec.
Lucene 9.1 vector format, which encodes numeric vector values and an optional associated graph
connecting the documents having values.
Reads vectors from the index segments along with index data structures supporting KNN search.
Read the vector values from the index input.
Read the nearest-neighbors graph from the index input
NeighborArray encodes the neighbors of a node and their mutual scores in the HNSW graph as a pair
of growable arrays.
An
HnswGraph where all nodes and connections are held in memory.Implements the Lucene 9.2 index format
Configuration option for the codec.
Lucene 9.2 vector format, which encodes numeric vector values and an optional associated graph
connecting the documents having values.
Reads vectors from the index segments along with index data structures supporting KNN search.
Read the nearest-neighbors graph from the index input
Implements the Lucene 9.4 index format
Configuration option for the codec.
Lucene 9.0 Field Infos format.
Lucene 9.4 vector format, which encodes numeric vector values and an optional associated graph
connecting the documents having values.
Reads vectors from the index segments along with index data structures supporting KNN search.
Read the nearest-neighbors graph from the index input
Implements the Lucene 9.5 index format
Configuration option for the codec.
Lucene 9.5 vector format, which encodes numeric vector values and an optional associated graph
connecting the documents having values.
Reads vectors from the index segments along with index data structures supporting KNN search.
Read the nearest-neighbors graph from the index input
Implements the Lucene 9.9 index format
Configuration option for the codec.
Lucene 9.9 flat vector format, which encodes numeric vector values
Reads vectors from the index segments.
Writes vector values to index segments.
Lucene 9.9 vector format, which encodes numeric vector values into an associated graph connecting
the documents having values.
Lucene 9.9 vector format, which encodes numeric vector values into an associated graph connecting
the documents having values.
Reads vectors from the index segments along with index data structures supporting KNN search.
Read the nearest-neighbors graph from the index input
Writes vector values and knn graphs to index segments.
Lucene 9.9 postings format, which encodes postings in packed integer blocks for fast decode.
Holds all state required for
Lucene99PostingsReader to produce a PostingsEnum without re-seeking the terms dict.Concrete class that reads docId(maybe frq,pos,offset,payloads) list with postings format.
Optimized scalar quantized implementation of
FlatVectorsScorer for quantized vectors
stored in the Lucene99 format.Calculates dot product on quantized vectors, applying the appropriate corrections
Format supporting vector quantization, storage, and retrieval
Reads Scalar Quantized vectors from the index segments along with index data structures.
Writes quantized vector values and metadata to index segments.
Returns a merged view over all the segment's
QuantizedByteVectorValues.Lucene 9.9 Segment info format.
Implements the skip list reader for block postings format that stores positions and payloads.
Write skip lists with multiple levels, and support skip within block ints.
Lucene Dictionary: terms taken from the given field of a Lucene index.
Damerau-Levenshtein (optimal string alignment) implemented in a consistent way as Lucene's
FuzzyTermsEnum with the transpositions option enabled.
LZ4 compression and decompression routines.
Simple lossy
LZ4.HashTable that only stores the last ocurrence for each hash on
2^14 bytes of memory.A record of previous occurrences of sequences of 4 bytes.
A higher-precision
LZ4.HashTable.16 bits per offset.
32 bits per value, only used when inputs exceed 64kB, e.g.
A compression mode that compromises on the compression ratio to provide fast compression and
decompression.
A compression mode that compromises on the compression ratio to provide fast compression and
decompression.
Helper class for keeping Lists of Objects associated with keys.
A
Fields implementation that merges multiple Fields into one, and maps around deleted
documents.Simplistic
CharFilter that applies the mappings contained in a NormalizeCharMap
to the character stream, and correcting the resulting changes to the offsets.Factory for
MappingCharFilter.Exposes flex API, merged from flex API of sub-segments, remapping docIDs (this is used for
segment merging).
A query that matches all documents.
Builder for
MatchAllDocsQueryA
MatchAllDocsQueryNode indicates that a query node tree or subtree will match all
documents if executed in the index.Builds a
MatchAllDocsQuery object from a MatchAllDocsQueryNode object.This processor converts every
WildcardQueryNode that is "*:*" to MatchAllDocsQueryNode.Interface for the creation of new CandidateMatcher objects
Reports the positions and optionally offsets of all matching terms in a query for a single
document
An iterator over match positions (and optionally offsets) for a single document and field
Contains static functions that aid the implementation of
Matches and MatchesIterator interfaces.An example highlighter that combines several lower-level highlighting utilities in this package
into a fully featured, ready-to-use component.
Single document's highlights.
Actual per-field highlighter.
An
OffsetRange of a match, together with the source query that caused it.Returns the counts for each given
FacetSetClass to hold the results of matching a single
Document
against queries held in the MonitorComputes which segments have identical field name to number mappings, which allows stored fields
and term vectors in this codec to be bulk-merged.
Computes which segments have identical field name to number mappings, which allows stored fields
and term vectors in this codec to be bulk-merged.
A query that matches no documents.
A
MatchNoDocsQueryNode indicates that a query node tree or subtree will not match any
documents if executed in the index.Builds a
MatchNoDocsQuery object from a MatchNoDocsQueryNode object.Utility class to compute a list of "match regions" for a given query, searcher and document(s)
using
Matches API.Implements
MatchRegionRetriever.FieldValueProvider wrapping a preloaded Document.An abstraction that provides document values for a given field.
A callback for accepting a single document (and its associated leaf reader, leaf document ID)
and its match offset ranges, as indicated by the
Matches interface retrieved for the
query.Math static utility methods.
Returns the value of
IndexReader.maxDoc() for every document.MaxFloatFunction returns the max of its components.Node that represents
Intervals.maxgaps(int, IntervalsSource).Add this
Attribute to a fresh AttributeSource before calling MultiTermQuery.getTermsEnum(Terms,AttributeSource).Implementation class for
MaxNonCompetitiveBoostAttribute.Returns the maximum payload score seen, else 1 if there are no payloads on the doc.
Maintains the maximum score and its corresponding document id concurrently
Compute maximum scores based on
Impacts and keep them in a cache in order not to run
expensive similarity score computations multiple times on the same data.Node that represents
Intervals.maxwidth(int, IntervalsSource).Implemented by Geo3D shapes that can calculate if a point is within it or not.
Bitset collector which supports memory tracking
High-performance single-document main memory Apache Lucene fulltext search index.
A
MemoryIndex.SlicedIntBlockPool.SliceReader that can read int slices written by a MemoryIndex.SlicedIntBlockPool.SliceWriterA
MemoryIndex.SlicedIntBlockPool.SliceWriter that allows to write multiple integer slices into a given IntBlockPool.Uses an
Analyzer on content to get offsets and then populates a MemoryIndex.Tracks dynamic allocations/deallocations of memory for transient objects
Provides a merged sorted view from several sorted iterators.
A MergeInfo provides information required for a MERGE context.
A simple extension to wrap
MergePolicy to merge all tiny segments (or at least segments
smaller than specified in MergeOnFlushMergePolicy.setSmallSegmentThresholdMB(double) into one segment on commit.Utility class to handle conversion between megabytes and bytes
Expert: a MergePolicy determines the sequence of primitive merge operations.
Thrown when a merge was explicitly aborted because
IndexWriter.abortMerges() was called.This interface represents the current context of the merge selection process.
Exception thrown if there are any problems while executing a merge.
A MergeSpecification instance provides the information necessary to perform multiple merges.
OneMerge provides the information necessary to perform an individual primitive merge operation,
resulting in a single new segment.
Progress and state for an executing merge.
Reason for pausing the merge thread.
This is the
RateLimiter that IndexWriter assigns to each running merge, to give
MergeSchedulers ionice like control.Expert:
IndexWriter uses an instance implementing this interface to execute the merges
selected by a MergePolicy.Provides access to new merges and executes the actual merge
Holds common state used during segment merging.
A map of doc IDs.
MergeTrigger is passed to
MergePolicy.findMerges(MergeTrigger, SegmentInfos, MergePolicy.MergeContext) to indicate the event that triggered the merge.Message Interface for a lazy loading.
Default implementation of Message interface.
Docs iterator that starts iterating from a configurable minimum document
MinFloatFunction returns the min of its components.Generate min hash tokens from an incoming stream of tokens.
128 bits of state
Operations for minimizing automata.
Calculates the minimum payload seen
Node that represents a minimum-should-match restriction on a
GroupQueryNode.Builds a
BooleanQuery from a MinShouldMatchNode.File-based
Directory implementation that uses mmap for reading, and FSDirectory.FSIndexOutput for writing.A
ModifierQueryNode indicates the modifier value (+,-,?,NONE) for each term on the query
string.Modifier type: such as required (REQ), prohibited (NOT)
Builds no object, it only returns the
Query object set on the ModifierQueryNode
object using a QueryTreeBuilder.QUERY_TREE_BUILDER_TAGID tag.A class that modifies the given misspelled word in various ways to get correct suggestions
Simple
ResourceLoader that uses Module.getResourceAsStream(String) and Class.forName(Module,String) to open resources and classes, respectively.Statistics for the query cache and query index
Encapsulates various configuration settings for a Monitor's query index
Defines a query to be stored in a Monitor
Serializes and deserializes MonitorQuery objects into byte streams
For reporting events on a Monitor's query index
Provides random access to a stream written with
MonotonicBlockPackedWriter.A writer for large monotonically increasing sequences of positive longs.
Generate "more like this" similarity queries.
PriorityQueue that orders words by score.
Use for frequencies and to avoid renewing Integers.
A simple wrapper for MoreLikeThis for use in scenarios where a Query object is required eg in
custom QueryParser extensions.
Radix sorter for variable-length strings.
Concatenates multiple Bits together, on every lookup.
Abstract
ValueSource implementation which wraps multiple ValueSources and applies an
extendible boolean function to their values.A
CollectorManager implements which wrap a set of CollectorManager as MultiCollector acts for Collector.A wrapper for CompositeIndexReader providing access to DocValues.
Implements SortedDocValues over n subs, using an OrdinalMap
Implements MultiSortedSetDocValues over n subs, using an OrdinalMap
Per-segment, per-document double values, which can be calculated at search-time.
Base class for producing
MultiDoubleValues.A multi-terms
Query over a FacetField.Maps specified dims to provided Facets impls; else, uses the default Facets impl.
FacetRecorder that contains multiple FacetRecorders.This processor is used to expand terms so the query looks for the same term in different fields.
A QueryParser which constructs queries to search multiple fields.
Provides a single
Fields term index view over an IndexReader.FieldOffsetStrategy that combines offsets from multiple fields.
Abstract
ValueSource implementation which wraps multiple ValueSources and applies an
extendible float function to their values.Abstract parent class for
ValueSource implementations that wrap multiple ValueSources and
apply their own logic.MultiLeafKnnCollector is a specific KnnCollector that can exchange the top collected results
across segments through a shared global queue.
Utility methods for working with a
IndexReader as if it were a LeafReader.This abstract class reads skip lists with multiple levels.
This abstract class writes skip lists with multiple levels.
Per-segment, per-document long values, which can be calculated at search-time.
Base class for producing
MultiLongValues.Class to hold the results of matching a batch of
Documents
against queries held in the MonitorCopy of
LeafSimScorer that sums document's norms from multiple fields.This tool splits input index into multiple equal parts.
This class emulates deletions on the underlying index.
A TermFilteredPresearcher that indexes queries multiple times, with terms collected from
different routes through a querytree.
A generalized version of
PhraseQuery, with the possibility of adding more than one term
at the same position that are treated as a disjunction (OR).A builder for multi-phrase queries
Slower version of UnionPostingsEnum that delegates offsets and positions, for use by
MatchesIterator
Takes the logical union of multiple PostingsEnum iterators.
disjunction of postings ordered by docid.
queue of terms for a single document.
A
MultiPhraseQueryNode indicates that its children should be used to build a MultiPhraseQuery instead of PhraseQuery.Builds a
MultiPhraseQuery object from a MultiPhraseQueryNode object.Exposes
PostingsEnum, merged from PostingsEnum API of sub-segments.Holds a
PostingsEnum along with the corresponding ReaderSlice.Abstract class for range queries involving multiple ranges against physical points such as
IntPoints All ranges are logically ORed togetherA builder for multirange queries.
A range represents anything with a min/max value that can compute its relation with another
range and can compute if a point is inside it
Representation of a single clause in a MultiRangeQuery
An interval tree of Ranges for speeding up computations
Represents a range that can compute its relation with another range and can compute if a point
is inside it
A
CompositeReader which reads multiple indexes, appending their content.A
Multiset is a set that allows for duplicate elements.Implements the CombSUM method for combining evidence from multiple similarity values described
in: Joseph A.
Support for highlighting multi-term queries.
An abstract
Query that matches documents containing a subset of terms provided by a
FilteredTermsEnum enumeration.Abstract class that defines how the query is rewritten.
A rewrite method that first translates each term into
BooleanClause.Occur.SHOULD clause
in a BooleanQuery, but adjusts the frequencies used for scoring to be blended across the terms,
otherwise the rarest term typically ranks highest (often not useful eg in the set of expanded
terms in a FuzzyQuery).A rewrite method that first translates each term into
BooleanClause.Occur.SHOULD clause
in a BooleanQuery, but the scores are only computed as the boost.A rewrite method that first translates each term into
BooleanClause.Occur.SHOULD clause
in a BooleanQuery, and keeps the scores as computed by the query.This class provides the functionality behind
MultiTermQuery.CONSTANT_SCORE_BLENDED_REWRITE.This class provides the functionality behind
MultiTermQuery.CONSTANT_SCORE_REWRITE.This processor instates the default
MultiTermQuery.RewriteMethod, MultiTermQuery.CONSTANT_SCORE_BLENDED_REWRITE, for multi-term query nodes.Exposes flex API, merged from flex API of sub-segments.
The MultiTrie is a Trie of Tries.
The MultiTrie is a Trie of Tries.
Obtains double field values from
LeafReader.getSortedNumericDocValues(java.lang.String) and using a SortedNumericSelector it gives a single-valued ValueSource view of a
field.Obtains float field values from
LeafReader.getSortedNumericDocValues(java.lang.String) and using a SortedNumericSelector it gives a single-valued ValueSource view of a
field.Obtains int field values from
LeafReader.getSortedNumericDocValues(java.lang.String) and using a SortedNumericSelector it gives a single-valued ValueSource view of a
field.Obtains long field values from
LeafReader.getSortedNumericDocValues(java.lang.String) and using a SortedNumericSelector it gives a single-valued ValueSource view of a
field.A
ValueSource that abstractly represents ValueSources for poly fields, and other
things.This is a very fast, non-cryptographic hash suitable for general hash-based lookup.
One leaf
PointValues.PointTree whose order of points can be changed.Utility APIs for sorting and partitioning buffered points.
Base class for all mutable values.
MutableValue implementation of type boolean.MutableValue implementation of type Date.MutableValue implementation of type double.MutableValue implementation of type float.MutableValue implementation of type int.MutableValue implementation of type long.MutableValue implementation of type String.Utility class to help extract the set of sub queries that have matched from a larger query.
Helper class for loading named SPIs from classpath (e.g.
Interface to support
NamedSPILoader.lookup(String) by name.A default
ThreadFactory implementation that accepts the name prefix of the created
threads as a constructor argument.An LRU cache of mapping from name to int.
An LRU cache of mapping from name to int.
Implements
LockFactory using native OS file locks.Simplification of FuzzyLikeThisQuery, to be used in the context of KNN classification.
KNN search on top of 2D lat/lon indexed points.
A Spans that is formed from the ordered subspans of a SpanNearQuery where the subspans do not
overlap and have a maximum slop between them.
Similar to
NearSpansOrdered, but for the unordered case.NeighborArray encodes the neighbors of a node and their mutual scores in the HNSW graph as a pair
of growable arrays.
NeighborQueue uses a
LongHeap to store lists of arcs in an HNSW graph, represented as a
neighbor node id with an associated score packed together as a sortable long, which is sorted
primarily by score.Analyzer for Nepali.
Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
N-Gram version of edit distance based on paper by Grzegorz Kondrak, "N-gram similarity and
distance".
Factory for
NGramTokenFilter.A
FragmentChecker based on all character n-grams possible in a certain language, keeping
them in a relatively memory-efficient, but probabilistic data structure.A callback for n-gram ranges in words
This is a
PhraseQuery which is optimized for n-gram phrase query.Tokenizes the input into n-grams of the given size(s).
Tokenizes the input into n-grams of the given size(s).
Factory for
NGramTokenizer.An
FSDirectory implementation that uses java.nio's FileChannel's positional read, which
allows multiple threads to read from the same file without synchronizing.Reads bytes with
FileChannel.read(ByteBuffer, long)MessageBundles classes extend this class, to implement a bundle.
Interface that exceptions should implement to support lazy loading of messages.
A
NoChildOptimizationQueryNodeProcessor removes every BooleanQueryNode, BoostQueryNode,
TokenizedPhraseQueryNode or ModifierQueryNode that do not have a valid children.An
IndexDeletionPolicy which keeps all index commits around, never deleting them.Use this
LockFactory to disable locking entirely.A source returning no matches
A
MergePolicy which never returns merges to execute.A
MergeScheduler which never executes any merges.Node that represents
Intervals.nonOverlapping(IntervalsSource, IntervalsSource) .LongRangeFacetCutter for ranges of long value that don't overlap.TODO: dedup NonOverlappingLongRangeMultiValueLeafFacetCutter and
NonOverlappingLongRangeSingleValueLeafFacetCutter code - they are similar but they extend
different base classes.
Never returns offsets.
A null FST
Outputs implementation; use this if you just want to build an FSA.Normal distance computation style.
This class acts as the base class for the implementations of the term frequency normalization
methods in the DFR framework.
Implementation used when there is no normalization.
Normalization model that assumes a uniform distribution of the term frequency.
Normalization model in which the term frequency is inversely related to the length.
Dirichlet Priors normalization
Pareto-Zipf Normalization
Holds a map of String input to String output, to be used with
MappingCharFilter.Builds an NormalizeCharMap.
Normal squared distance computation style.
Abstract API that consumes normalization values.
Tracks state of one numeric sub-reader that we are merging
Deprecated.
Use
FieldExistsQuery instead.Encodes/decodes per-document score normalization values.
Abstract API that produces field normalization values
Function that returns the decoded norm for every document.
Buffers up pending long per doc, then flushes when segment flushes.
Analyzer for Norwegian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies NorwegianLightStemmer to stem Norwegian words.Factory for
NorwegianLightStemFilter.Light Stemmer for Norwegian.
A
TokenFilter that applies NorwegianMinimalStemmer to stem Norwegian words.Factory for
NorwegianMinimalStemFilter.Minimal Stemmer for Norwegian Bokmål (no-nb) and Nynorsk (no-nn)
This filter normalize use of the interchangeable Scandinavian characters æÆäÄöÖøØ and folded
variants (ae, oe, aa) by transforming them to åÅæÆøØ.
Factory for
NorwegianNormalizationFilter.This class implements the stemming algorithm defined by a snowball script.
Node that represents
Intervals.notContainedBy(IntervalsSource, IntervalsSource).Node that represents
Intervals.notContaining(IntervalsSource, IntervalsSource).A
NoTokenFoundQueryNode is used if a term is convert into no tokens by the
tokenizer/lemmatizer/analyzer (null).Factory for prohibited clauses
Node that represents
Intervals.notWithin(IntervalsSource, int, IntervalsSource).Wraps a RAM-resident directory around any provided delegate directory, to be used during NRT
search.
NRTSuggester executes Top N search on a weighted FST specified by a
CompletionScorerHelper to encode/decode payload (surface + PAYLOAD_SEP + docID) output
Compares partial completion paths using
CompletionScorer.score(float, float), breaks
ties comparing path inputsBuilder for
NRTSuggesterFragmenter implementation which does not fragment the text.Returns the value of
IndexReader.numDocs() for every document.Abstract numeric comparator for comparing numeric values.
A per-document numeric value.
Field that stores a per-document
long value for scoring, sorting or value retrieval.A
DocValuesFieldUpdates which holds updates of documents, of a single NumericDocValuesField.Buffers up pending long per doc, then flushes when segment flushes.
Assigns a payload to a token based on the
TypeAttributeFactory for
NumericPayloadTokenFilter.Helper APIs to encode numeric values as sortable bytes and vice-versa.
Forked from HPPC, holding int index and Object value.
Read the vector values from the index input.
Read the vector values from the index input.
Dense vector values that are stored off-heap.
Read the vector values from the index input.
Read the vector values from the index input.
Read the vector values from the index input.
Dense vector values that are stored off-heap.
Provides off heap storage of finite state machine (FST), using underlying index input instead of
byte store on heap
Read the quantized vector values and their score correction values from the index input.
Dense vector values that are stored off-heap.
Reads points from disk in a fixed-with format, previously written with
OfflinePointWriter.Reusable implementation for a point value offline
Writes points to disk in a fixed-with format.
On-disk sorting of byte arrays.
A bit more descriptive unit for constructors.
Utility class to read length-prefixed byte[] entries from an input.
Utility class to emit length-prefixed byte[] entries to an output stream for sorting.
Holds one partition of items, either loaded into memory or based on a file.
The start and end character offset of a Token.
Default implementation of
OffsetAttribute.Tracks a reference intervals source, and produces a pseudo-interval that appears either one
position before or one position after each interval from the reference
This TokenFilter limits the number of tokens while indexing by adding up the current offset.
A non-empty range of offset positions.
An enumeration/iterator of a term and its offsets for use by
FieldHighlighter.A view over several OffsetsEnum instances, merging them in-place
Based on a
MatchesIterator; does not look at submatches.Based on a
MatchesIterator with submatches.Based on a
PostingsEnum -- the typical/standard OE impl.This strategy retrieves offsets directly from
MatchesIterator, if they are available,
otherwise it falls back to using OffsetsFromPositions.This strategy applies to fields with stored positions but no offsets.
This strategy works for fields where we know the match occurred but there are no known positions
or offsets.
This strategy works for fields where we know the match occurred but there are no known positions
or offsets.
Determines how match offset regions are computed from
MatchesIterator.A per-field supplier of
OffsetsRetrievalStrategy.A wrapping merge policy that wraps the
MergePolicy.OneMerge
objects returned by the wrapped merge policy.Provides storage of finite state machine (FST), using byte array or byte store allocated on heap.
An
HnswGraph where all nodes and connections are held in memory.A
OpaqueQueryNode is used for specify values that are not supposed to be parsed by the
parser.Processes
TermRangeQuerys with open ranges.A StringBuilder that allows one to access the array.
Automata operations.
The Optimizer class is a Trie that will be reduced (have empty rows removed).
The Optimizer class is a Trie that will be reduced (have empty rows removed).
Node that represents
Intervals.or(IntervalsSource...).Node that represents
Intervals.ordered(IntervalsSource...).Iterate over ordinals.
Maps per-segment ordinals to/from global ordinal space, using a compact packed-ints
representation.
A
FilterLeafReader for updating facets ordinal references, based
on an ordinal map.Deprecated.
Custom binary encodings for taxonomy ordinals are no longer supported starting with
Lucene 9
Returns ordinals for documents in one segment.
Wraps a provided KnnCollector object, translating the provided vectorId ordinal to a documentId
This is just like
Lucene90BlockTreeTermsWriter, except it also stores a version per term,
and adds a method to its TermsEnum implementation to seekExact only if the version is >= the
specified version.BlockTree's implementation of
Terms.Iterates through terms in this field.
Holds a single input (IntsRef) + output pair.
An ordinal based
TermStateConfiguration for
DirectMonotonicReader and IndexedDISI for reading sparse
vectors.Ordinal to label mapping interface.
Factory for disjunctions
A
OrQueryNode represents an OR boolean operation performed on a list of nodes.Represents the outputs for an FST, providing the basic algebra required for building and
traversing the FST.
A
DataOutput wrapping a plain OutputStream.Implementation class for buffered
IndexOutput that writes to an OutputStream.This subclass is an optimization for writing primitives.
Node that represents
Intervals.overlapping(IntervalsSource, IntervalsSource).This implementation supports requested ranges that overlap.
Holds one node of the segment tree.
LongRangeFacetCutter for ranges of long value that overlap.TODO: dedup OverlappingMultivaluedRangeLeafFacetCutter and
OverlappingSingleValuedRangeLeafFacetCutter code - they are identical but they extend different
base classes.
Overlays a 2nd LeafReader for the terms of one field, otherwise the primary reader is consulted.
Space optimized random access capable array of values with a fixed number of bits/value.
This class is similar to
Packed64 except that it trades space for speed by ensuring that
a single block needs to be read/written in order to read/write a value.A
DataInput wrapper to read unaligned, variable-length packed integers.A
DataOutput wrapper to write unaligned, variable-length packed integers.Simplistic compression for array of unsigned long values.
A decoder for packed integers.
An encoder for packed integers.
A format to write packed ints.
Simple class that holds a format and a number of bits per value.
A packed integer array that can be modified.
A
PackedInts.Reader which has all its values equal to 0 (bitsPerValue = 0).A read-only random access array of positive integers.
A simple base for Readers that keeps track of valueCount and bitsPerValue.
Run-once iterator interface, to decode previously saved PackedInts.
A write-once Writer.
Utility class to compress integers into a
LongValues instance.A Builder for a
PackedLongValues instance.Default implementation of the common attributes used by Lucene:
CharTermAttribute
TypeAttribute
PositionIncrementAttribute
PositionLengthAttribute
OffsetAttribute
TermFrequencyAttribute
Represents a logical byte[] as a series of pages.
Provides methods to read BytesRefs from a frozen PagedBytes.
A
PagedMutable.An FST
Outputs implementation, holding two other outputs.Holds a single pair of two outputs.
An
CompositeReader which reads multiple, parallel indexes.An
LeafReader which reads multiple, parallel indexes.Matcher class that runs matching queries in parallel.
Returns 3 arrays for traversing the taxonomy:
parents: parents[i] denotes the parent of category ordinal i.Abstraction that looks like an int[], but read-only.
A query that returns all the matching child documents for a specific parent document indexed
together in the same block.
This exception is thrown when parse errors are encountered.
This exception is thrown when parse errors are encountered.
This exception is thrown when parse errors are encountered.
Thrown when the xml queryparser encounters invalid syntax/configuration.
This class represents an extension base class to the Lucene standard
QueryParser.A multi-threaded matcher that collects all possible matches in one pass, and then partitions them
amongst a number of worker threads to perform the actual matching.
Attribute for
Token.getPartOfSpeech().Part of Speech attributes for Korean.
Attribute for
Token.getPartOfSpeech().Part of Speech attributes for Korean.
A passage is a fragment of source text, scored and possibly with a list of sub-offsets (markers)
to be highlighted.
Represents a passage (typically a sentence of the document).
Adjusts the range of one or more passages over a given value.
Formats a collection of passages over a given string, cleaning up and
resolving restrictions concerning overlaps, allowed sub-ranges over the input string and length
restrictions.
Creates a formatted snippet from the top passages.
Ranks passages found by
UnifiedHighlighter.Selects fragments of text that score best for the given set of highlight markers.
Tokenizer for path-like hierarchies.
Factory for
PathHierarchyTokenizer.SmartChineseAnalyzer internal node representation
A
PathQueryNode is used to store queries like /company/USA/California
/product/shoes/brown.Term text with a beginning and end position
Factory for
PatternCaptureGroupTokenFilter.CaptureGroup uses Java regexes to emit multiple tokens - one for each capture group in one or
more patterns.
This interface is used to connect the XML pattern file parser to the hyphenation tree.
Marks terms as keywords via the
KeywordAttribute.A SAX document handler to read and parse hyphenation patterns from a XML file.
CharFilter that uses a regular expression for the target of replace string.
Factory for
PatternReplaceCharFilter.A TokenFilter which applies a Pattern to each token in the stream, replacing match occurrences
with the specified replacement string.
Factory for
PatternReplaceFilter.This tokenizer uses regex pattern matching to construct distinct tokens for the input stream.
Factory for
PatternTokenizer.Set a type attribute to a parameterized value when tokens are matched by any of a several regex
patterns.
Value holding class for pattern typing rules.
Provides a filter that will analyze tokens with the analyzer from an arbitrary field type.
The payload of a Token.
Default implementation of
PayloadAttribute.Defines a way of converting payloads to float values, for use by
PayloadScoreQueryMainly for use with the DelimitedPayloadTokenFilter, converts char buffers to
BytesRef.An abstract class that defines a way for PayloadScoreQuery instances to transform the cumulative
effects of payload scores for a document.
Utility methods for encoding payloads.
Defines an interface for testing if two payloads should be consider to match
Creates a payload matcher object based on a payload type and an operation.
A Query class that uses a
PayloadFunction to modify the score of a wrapped SpanQuery.SpanCollector for collecting payloads
Experimental class to get set of payloads for most standard Lucene queries.
This class handles accounting and applying pending deletes for live segment readers
This analyzer is used to facilitate scenarios where different fields require different analysis
techniques.
Enables per field docvalues support.
Enables per field numeric vector support.
VectorReader that can wrap multiple delegate readers, selected by field.
Utility class creating a new
MergeState to be restricted to a set of fields.Enables per field postings support.
Group of fields written by one PostingsFormat
Provides the ability to use a different
Similarity for different fields.Analyzer for Persian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
CharFilter that replaces instances of Zero-width non-joiner with an ordinary space.
Factory for
PersianCharFilter.A
TokenFilter that applies PersianNormalizer to normalize the orthography.Factory for
PersianNormalizationFilter.Normalizer for Persian.
A
TokenFilter that applies PersianStemmer to stem Persian words.Factory for
PersianStemFilter.Stemmer for Persian.
A
SnapshotDeletionPolicy which adds a persistence layer so that snapshots can be
maintained across the life of an application.Utility class to encode sequences of 128 small positive integers.
Utility class to encode sequences of 128 small positive integers.
Utility class to encode sequences of 128 small positive integers.
Utility class to encode sequences of 128 small positive integers.
Create tokens for phonetic matches.
Factory for
PhoneticFilter.Node that represents
Intervals.phrase(String...).Helps the
FieldOffsetStrategy with position sensitive queries (e.g.Needed to support the ability to highlight a query irrespective of the field a query refers to
(aka requireFieldMatch=false).
Base class for exact and sloppy phrase matching
Position of a term in a document that takes into account the term offset within the phrase.
A Query that matches documents containing a particular sequence of terms.
A builder for phrase queries.
Term postings and position information for phrase matching
Builds a
PhraseQuery object from a TokenizedPhraseQueryNode object.Query node for
PhraseQuery's slop factor.This processor removes invalid
SlopQueryNode objects in the query node tree.Expert: Weight class for phrase matching
A generalized version of
PhraseQuery, built with one or more MultiTermQuery that
provides term expansions for multi-terms (one of the expanded terms must match).Builds a
PhraseWildcardQuery.Phrase term with expansions.
All
PhraseWildcardQuery.PhraseTerm are light and immutable.Phrase term with no expansion.
Holds a pair of term bytes - term state.
Holds the
TermState and TermStatistics for all the matched and collected Term, for all phrase terms, for all segments.Accumulates the doc freq and total term freq.
Test counters incremented when assertions are enabled.
Split an index based on a
Query.Remove this file when adding back compat codecs
Dictionary represented by a text file.
We know about three kinds of planes.
Holds mathematical constants associated with the model of a planet.
Utility class for encoding / decoding from lat/lon (decimal degrees) into sortable doc value
numerics (integers)
Relates all Geo3d shape with a specific
PlanetModel.Represents a point on the earth's surface.
2D point implementation containing geo spatial logic.
Finds all previously indexed points that fall within the specified polygon.
Abstract query class to find all documents whose single or multi-dimensional point values,
previously indexed with e.g.
Iterator of encoded point values.
This query node represents a field query that holds a point value.
This processor is used to convert
FieldQueryNodes to PointRangeQueryNodes.Abstract class for range queries against single or multidimensional points such as
IntPoint.Creates a range query across 1D
PointValues.This query node represents a range query composed by
PointQueryNode bounds, which means
the bound values are Numbers.Builds
PointValues range queries out of PointRangeQueryNodes.This processor is used to convert
TermRangeQueryNodes to PointRangeQueryNodes.One pass iterator through all points previously written with a
PointWriter, abstracting
away whether points are read from (offline) disk or simple arrays in heap.This class holds the configuration used to parse numeric queries and create
PointValues
queries.This listener is used to listen to
FieldConfig requests in QueryConfigHandler and
add StandardQueryConfigHandler.ConfigurationKeys.POINTS_CONFIG based on the StandardQueryConfigHandler.ConfigurationKeys.POINTS_CONFIG_MAP set in the QueryConfigHandler.Encodes/decodes indexed points.
Abstract API to visit point values.
Abstract API to write points
Represents a dimensional point value written in the BKD tree.
Access to indexed numeric values.
We recurse the
PointValues.PointTree, using a provided instance of this to guide the recursion.Basic operations to read the KD-tree.
Used by
PointValues.intersect(org.apache.lucene.index.PointValues.IntersectVisitor) to check how each recursive cell corresponds to the query.Buffers up pending byte[][] value(s) per doc, then flushes when segment flushes.
Appends many points, and then at the end provides a
PointReader to iterate those points.Analyzer for Polish.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
Represents a closed polygon on the earth's surface.
2D polygon implementation represented as a balanced interval tree of edges.
Transforms the token stream as per the Porter stemming algorithm.
Factory for
PorterStemFilter.Stemmer, implementing the Porter Stemming Algorithm
This class implements the stemming algorithm defined by a snowball script.
Analyzer for Portuguese.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies PortugueseLightStemmer to stem Portuguese words.Factory for
PortugueseLightStemFilter.Light Stemmer for Portuguese
A
TokenFilter that applies PortugueseMinimalStemmer to stem Portuguese words.Factory for
PortugueseMinimalStemFilter.Minimal Stemmer for Portuguese
A
TokenFilter that applies PortugueseStemmer to stem Portuguese words.Factory for
PortugueseStemFilter.Portuguese stemmer implementing the RSLP (Removedor de Sufixos da Lingua Portuguesa) algorithm.
This class implements the stemming algorithm defined by a snowball script.
Part of speech classification for Korean based on Sejong corpus classification.
Part of speech tag for Korean based on Sejong corpus classification.
The type of the token.
Determines the position of this token relative to the previous Token in a TokenStream, used in
phrase searching.
Default implementation of
PositionIncrementAttribute.Determines how many positions this token spans.
Default implementation of
PositionLengthAttribute.Utility class to record Positions Spans
An FST
Outputs implementation where each output is a non-negative long value.Utility class to decode postings.
Wrapper around an
IndexInput and a ForUtil that optionally optimizes decoding
using vectorization.Iterates through the postings.
Encodes/decodes terms, postings, and proximity data.
This static holder class prevents classloading deadlock by delaying init of postings formats
until needed.
Uses offsets in postings --
IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS.The core terms dictionaries (BlockTermsReader, BlockTreeTermsReader) interact with a single
instance of this class to manage creation of
PostingsEnum and
PostingsEnum instances.Utility class to encode/decode postings block.
Utility class to encode/decode postings block.
Like
PostingsOffsetStrategy but also uses term vectors (only terms needed) for multi-term
queries.Class that plugs into term dictionaries, such as
Lucene90BlockTreeTermsWriter, and
handles writing postings.Function to raise the base "a" to the power "b"
This processor pipeline extends
StandardQueryNodeProcessorPipeline and enables boolean
precedence on it.This query parser works exactly as the standard query parser (
StandardQueryParser ),
except that it respect the boolean precedence, so <a AND b OR c AND d> is parsed to <(+a
+b) (+c +d)> instead of <+a +b +c +d>.Prefix codes term instances (prefixes are shared).
Builds a PrefixCodedTerms: call add repeatedly, then finish.
An iterator over the list of terms stored in a
PrefixCodedTerms.A
CompletionQuery which takes an Analyzer to analyze the prefix of the query
term.A Query that matches documents containing terms with a specified prefix.
A
PrefixWildcardQueryNode represents wildcardquery that matches abc* or *.Builds a
PrefixQuery object from a PrefixWildcardQueryNode object.A Presearcher is used by the Monitor to reduce the number of queries actually run against a
Document.
Wraps a
QueryMatch with information about which queries were selected by the presearcherWraps a
MultiMatchingQueries with information on which presearcher queries were selectedInfoStream implementation over a
PrintStream such as System.out.Prints how many ords are under each dimension.
A priority queue maintains a partial ordering of its elements such that the least element can
always be found in constant time.
ProductFloatFunction returns the product of its components.This class wraps a Collector and times the execution of: - setScorer() - collect() -
doSetNextReader() - needsScores()
Collector manager for
ProfilerCollectorPublic class for profiled timings of the Collectors used in the search.
A collector that profiles how much time is spent calling it.
A ConditionalTokenFilter that only applies its wrapped filters to tokens that are not contained
in a protected set.
Factory for a
ProtectedTermFilterA
ProximityQueryNode represents a query where the terms should meet specific distance
conditions.utility class containing the distance condition and number
Distance condition: PARAGRAPH, SENTENCE, or NUMBER
Controls
LeafFieldComparator how to skip documentsExtension of
PostingsWriterBase, adding a push API for writing each element of the
postings.A version of
ByteVectorValues, but additionally retrieving score correction offset for
Scalar quantization scores.Quantized vector reader
The abstract base class for queries.
Class to analyze and extract terms from a lucene query, to be used by a
Presearcher in
indexing.An
Analyzer used primarily at query time to wrap another analyzer and provide a layer of
protection which prevents very common words from being passed into queries.A
BitSetProducer that wraps a query and caches matching BitSets per segment.This interface is used by implementors classes that builds some kind of object from a query tree.
Implemented by objects that produce Lucene Query objects from XML streams.
Creates queries from the
Analyzer chain.Wraps a term and boost
Factory for
QueryBuilderA cache for queries.
A policy defining which filters should be cached.
This class can be used to hold any query configuration and no field configuration.
Split a disjunction query into its consituent parts, so that they can be indexed and run
separately in the Monitor.
Represents a match for a specific query and document
A
QueryNode is a interface implemented by all nodes on a QueryNode tree.Error class with NLS support
This exception should be thrown if something wrong happens when dealing with
QueryNodes.A
QueryNodeImpl is the default implementation of the interface QueryNodeAllow joining 2 QueryNode Trees, into one.
This should be thrown when an exception happens during the query parsing from string to the query
node tree.
A
QueryNodeProcessor is an interface for classes that process a QueryNode tree.This is a default implementation for the
QueryNodeProcessor interface, it's an abstract
class, so it should be extended by classes that want to process a QueryNode tree.A
QueryNodeProcessorPipeline class should be used to build a query node processor
pipeline.This class is generated by JavaCC.
This class is generated by JavaCC.
The default operator for parsing queries.
This class is overridden by QueryParser in QueryParser.jj and acts to separate the majority of
the Java code from the .jj grammar file.
Token literal values and constants.
Token literal values and constants.
This class is a helper for the query parser framework, it does all the three query parser phrases
at once: text parsing, query processing and query building.
Flexible Query Parser message bundle class
Token Manager.
Token Manager.
This class defines utility methods to (help) parse query strings into
Query objects.A record of timings for the various operations that may happen during query execution.
An extension of
IndexSearcher that records profile information for all queries it
executes.This class is the internal representation of a profiled Query, corresponding to a single node in
the query tree.
Scorer wrapper that will compute how much time is spent on moving the iterator,
confirming matches and computing scores.Helps measure how much time is spent running some methods.
This enum breaks down the query into different sections to describe what was timed.
This class tracks the dependency tree for queries (scoring and rewriting) and generates
QueryProfilerBreakdown for each node in the tree.A
Rescorer that uses a provided Query to assign scores to the first-pass hits.Scorer implementation which scores text fragments by the number of unique query terms
found.Utility class used to extract the terms used in a query, plus any weights.
Scorer implementation which scores text fragments by the number of unique query terms
found.Notified of the time it takes to run individual queries against a set of documents
Query timeout abstraction that controls whether a query should continue or be stopped.
An implementation of
QueryTimeout that can be used by the ExitableDirectoryReader
class to time out and exit out when a query takes a long time to rewrite.A representation of a node in a query tree
This class should be used when there is a builder for each type of node.
QueryValueSource returns the relevance score of the queryAllows recursion through a query tree
A
QuotedFieldQueryNode represents phrase query.Radix selector.
A straightforward implementation of
FSDirectory using java.io.RandomAccessFile.Reads bytes with
RandomAccessFile.seek(long) followed by RandomAccessFile.read(byte[], int, int).Estimates the size (memory representation) of Java objects.
Utility methods to estimate the RAM usage of objects.
Random Access Index API.
Random access values for
byte[], but also includes accessing the score correction
constant for the current vector in the buffer.Provides random access to vectors by dense ordinal.
Byte vector values.
Float vector values.
Collects hits for subsequent faceting, using sampling if needed.
Faster alternative for java.util.Random, inspired by
http://dmurphy747.wordpress.com/2011/03/23/xorshift-vs-random- performance-in-java/
A
RandomVectorScorer for scoring random nodes in batches against an abstract query.Creates a default scorer for random access vectors.
A supplier that creates
RandomVectorScorer from an ordinal.Base class for a single labeled range.
Base class for a single labeled range.
Base class for range faceting.
A
FacetSetMatcher which considers a set as a match if all dimensions fall within the
given corresponding range.Query class for searching
RangeField types by a defined PointValues.Relation.Used by
RangeFieldQuery to check how each internal or leaf node relates to the query.RangeMapFloatFunction implements a map function over another ValueSource
whose values fall within min and max inclusive to target.OrdToLabel for ranges.Builder for
TermRangeQueryThis interface should be implemented by a
QueryNode that represents some kind of range
query.Abstract base class to rate limit IO.
Simple class to rate limit IO.
Similarity that returns the raw TF as score.
Utility class to safely share
DirectoryReader instances across multiple threads, while
periodically reopening.Holds shared SegmentReader instances.
This class merges the current on-disk DV with an incoming update DV instance and merges the two
instances giving the incoming update precedence in terms of values, in other words the values
of the update always wins over the on-disk version.
Subreader slice from a parent composite reader.
Common util methods for dealing with
IndexReaders and IndexReaderContexts.Attribute for Kuromoji reading data
Attribute for Korean reading data
Attribute for Kuromoji reading data
Attribute for Korean reading data
A Collector that decodes the stored query for each document hit reparsing them everytime.
An adapter class to use
ByteBuffersDataOutput as a FSTReader.ReciprocalFloatFunction implements a reciprocal function f(x) = a/(mx+b), based on
the float value of a field or function as exported by ValueSource.Represents a lat/lon rectangle.
2D rectangle implementation containing cartesian spatial logic.
A
ByteBlockPool.Allocator implementation that recycles unused byte blocks in a buffer and
reuses them in subsequent calls to RecyclingByteBlockAllocator.getByteBlock().A
IntBlockPool.Allocator implementation that recycles unused int blocks in a buffer and reuses them in
subsequent calls to RecyclingIntBlockAllocator.getIntBlock().The Reduce object is used to remove gaps in a Trie which stores a dictionary.
Reducer for numeric values.
Manages reference counting for a given object.
Utility class to safely share instances of a certain type across multiple threads, while
periodically refreshing them.
Use to receive notification when a refresh has finished.
A
CompletionQuery which takes a regular expression as the prefix of the query term.Regular Expression extension to
Automaton.The type of expression represented by a RegExp node.
Custom Functional Interface for a Supplying methods with signature of RegExp(int int1, RegExp
exp1, RegExp exp2)
A fast regular expression query based on the
org.apache.lucene.util.automaton package.A query handler implementation that matches Regexp queries by indexing regex terms by their
longest static substring, and generates ngrams from Document tokens to match them.
A
RegexpQueryNode represents RegexpQuery query Examples: /[a-z]|[0-9]/Builds a
RegexpQuery object from a RegexpQueryNode object.Processor for Regexp queries.
Use this
TaxonomyWriter to append arbitrary fields to
the ordinal documents in the taxonomy.A
QueryNodeProcessorPipeline class removes every instance of DeletedQueryNode
from a query node tree.A TokenFilter which filters out Tokens at the same position and Term text as the previous token
in the stream.
Factory for
RemoveDuplicatesTokenFilter.This processor removes every
QueryNode that is not a leaf and has not children.Generates an iterator that spans repeating instances of a sub-iterator, avoiding minimization.
A Scorer for queries with a required subscorer and an excluding (prohibited) sub
Scorer.A Scorer for queries with a required part and an optional part.
Re-scores the topN results (
TopDocs) from an original query.Abstraction for loading resources (streams, files, and classes).
Interface for a component that needs to be initialized by an implementation of
ResourceLoader.Internal class to enable reuse of the string reader by
Analyzer.tokenStream(String,String)Reads in reverse from a single byte[].
Tokenizer for domain-like hierarchies.
Implements reverse read from a RandomAccessInput.
Reverse token string, for example "country" => "yrtnuoc".
Factory for
ReverseStringFilter.DocIdSet implementation inspired from http://roaringbitmap.org/A builder of
RoaringDocIdSets.DocIdSet implementation that can store documents up to 2^16-1 in a short[].Acts like forever growing T[], but internally uses a circular buffer to reuse instances of T.
Implement to reset an instance
Acts like a forever growing char[] as you read characters into it from the provided reader, but
internally it uses a circular buffer to only hold the characters that haven't been freed yet.
Analyzer for Romanian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
The Row class represents a row in a matrix representation of a trie.
Base class for stemmers that use a set of RSLP-like stemming steps.
A basic rule, with no exceptions.
A rule with a set of whole-word exceptions.
A rule with a set of exceptional suffixes.
A step containing a list of rules.
Finite-state automaton with fast run operation.
Analyzer for Russian language.A
TokenFilter that applies RussianLightStemmer to stem Russian words.Factory for
RussianLightStemFilter.Light Stemmer for Russian.
This class implements the stemming algorithm defined by a snowball script.
An
ExecutorService that executes tasks immediately in the calling thread during submit.Default scalar quantized implementation of
FlatVectorsScorer.Quantized vector scorer supplier
Calculates and adjust the scores correctly for quantized vectors given the scalar quantization
parameters
Compares two byte vectors
Calculates dot product on quantized vectors, applying the appropriate corrections
Calculates euclidean distance on quantized vectors, applying the appropriate corrections
Calculates max inner product on quantized vectors, applying the appropriate corrections
Will scalar quantize float vectors into `int8` byte values.
This class is used to correlate the scores of the nearest neighbors with the errors in the
scores.
Scales values to be between min and max.
This filter folds Scandinavian characters åÅäæÄÆ->a and öÖøØ->o.
Factory for
ScandinavianFoldingFilter.This filter normalize use of the interchangeable Scandinavian characters æÆäÄöÖøØ and folded
variants (aa, ao, ae, oe and oo) by transforming them to åÅæÆøØ.
Factory for
ScandinavianNormalizationFilter.This Normalizer does the heavy lifting for a set of Scandinavian normalization filters,
normalizing use of the interchangeable Scandinavian characters æÆäÄöÖøØ and folded variants (aa,
ao, ae, oe and oo) by transforming them to åÅæÆøØ.
List of possible foldings that can be used when configuring the filter
Allows access to the score of a Query
A child Scorer and its relationship to its parent.
Used by
BulkScorers that need to pass a Scorable to LeafCollector.setScorer(org.apache.lucene.search.Scorable).A
Scorer which wraps another scorer and caches the score of the current document.Holds one hit in
TopDocs.How to aggregate multiple child hit scores into a single parent score.
Different modes of search.
An implementation of FragmentsBuilder that outputs score-order fragments.
Comparator for
FieldFragList.WeightedFragInfo by boost, breaking ties by offset.A Scorer is responsible for scoring a stream of tokens.
Expert: Common scoring functionality for different types of queries.
A supplier of
Scorer.Util class for Scorer related methods
A QueryMatch that reports scores for each match
Base rewrite method that translates each term into a query, and keeps the scores as computed by
the query.
Special implementation of BytesStartArray that keeps parallel arrays for boost and docFreq
This attribute stores the UTR #24 script value for a token of text.
Implementation of
ScriptAttribute that stores the script as an integer.An iterator that locates ISO 15924 script boundaries in text.
Factory class used by
SearcherManager to create new IndexSearchers.Keeps track of current plus old IndexSearchers, closing the old ones once they have timed out.
Simple pruner that drops any searcher older by more than the specified seconds, than the newest
searcher.
Utility class to safely share
IndexSearcher instances across multiple threads, while
periodically reopening.Manages near-real-time reopen of both an IndexSearcher and a TaxonomyReader.
Holds a matched pair of
IndexSearcher and TaxonomyReaderRepresents a group that is found during the first pass search.
SecondPassGroupingCollector runs over an already collected set of groups, further applying a
GroupReducer to each groupA filtered TermsEnum that uses a BytesRefHash as a filter
Graph representing possible tokens at each start offset in the sentence.
Interface defining whether or not an object can be cached against a
LeafReaderEmbeds a [read-only] SegmentInfo and adds per-commit fields.
Holds core readers that are shared (unchanged) when SegmentReader is cloned or reopened
Manages the
DocValuesProducer held by SegmentReader and keeps track of their
reference counting.Encapsulates multiple producers when there are docvalues updates as one producer
Information about a segment such as its name, directory, and files related to the segment.
Expert: Controls the format of the
SegmentInfo (segment metadata file).A collection of segmentInfo objects with methods for operating on those segments in relation to
the file system.
Utility class for executing code that needs to do something with the current segments file.
Breaks text into sentences with a
BreakIterator and allows subclasses to decompose these
sentences into words.The SegmentMerger class combines two or more Segments, represented by an IndexReader, into a
single Segment.
IndexReader implementation over a single segment.
Access to
SegmentReader internals exposed to the test framework.Holder class for common parameters used during read.
Iterates through terms in this field.
Iterates through terms in this field.
Holder class for common parameters used during write.
SmartChineseAnalyzer internal token
Filters a
SegToken by converting full-width latin to half-width, then lowercasing latin.A pair of tokens in
SegGraphAn implementation of a selection algorithm, ie.
This attribute tracks what sentence a given token belongs to as well as potentially other
sentence specific attributes.
Default implementation of
SentenceAttribute.A native int hash-based set where one value is reserved to mean "EMPTY" internally.
Analyzer for Serbian.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
Normalizes Serbian Cyrillic and Latin characters to "bald" Latin.
Factory for
SerbianNormalizationFilter.Normalizes Serbian Cyrillic to Latin.
This class implements the stemming algorithm defined by a snowball script.
Indicates that a geo3d object can be serialized and deserialized.
A
MergeScheduler that simply does each merge sequentially, using the current thread.Marks terms as keywords via the
KeywordAttribute.A convenient class which offers a semi-immutable object wrapper implementation which allows one
to set the value of an object exactly once, and retrieve it many times.
Thrown when
SetOnce.set(Object) is called more than once.Holding object and marking that it was already set
A binary doc values format representation for
LatLonShape and XYShapeReads values from a ShapeDocValues Field
A doc values field for
LatLonShape and XYShape that uses ShapeDocValues
as the underlying binary doc value format.A base shape utility class used for both LatLon (spherical) and XY (cartesian) shape fields.
Represents a encoded triangle using
ShapeField.decodeTriangle(byte[], DecodedTriangle).type of triangle
Query Relation Types *
polygons are decomposed into tessellated triangles using
Tessellator these triangles are encoded and inserted as separate indexed
POINT fieldsA ShingleAnalyzerWrapper wraps a
ShingleFilter around another Analyzer.A ShingleFilter constructs shingles (token n-grams) from a token stream.
Factory for
ShingleFilter.Combination of a plane, and a sign value indicating what evaluation values are on the correct
side of the plane.
Similarity defines the components of Lucene scoring.
Stores the weight for a query across the indexed collection.
A subclass of
Similarity that provides a simplified API for its descendants.Simple class that binds expression variable names to
DoubleValuesSources or other Expressions.BoolFunction implementation which applies an extendible boolean function to the values of
a single wrapped ValueSource.Simple boundary scanner implementation that divides fragments based on a set of separator
characters.
Base
Collector implementation that is used to collect all contexts.Base
FieldComparator implementation that is used for all contexts.A simple implementation of
FieldFragList.A simple float function with a single argument
A simple implementation of
FragListBuilder.Fragmenter implementation which breaks text up into same-size fragments with no concerns
over spotting sentence boundaries.A simple implementation of FragmentsBuilder.
Does minimal parsing of a GeoJSON object, to extract either Polygon or MultiPolygon, either
directly as the top-level type, or if the top-level type is Feature, as the geometry of that
feature.
Simple
Encoder implementation to escape text for HTML outputSimple
Formatter implementation to highlight terms with a pre and post tag.A very simple merged segment warmer that just ensures data structures are initialized.
A simplistic Lucene based NaiveBayes classifier, see
http://en.wikipedia.org/wiki/Naive_Bayes_classifierA simplistic Lucene based NaiveBayes classifier, see
http://en.wikipedia.org/wiki/Naive_Bayes_classifierFactory for
SimplePatternSplitTokenizer, for producing tokens by splitting according to
the provided regexp.Factory for
SimplePatternTokenizer, for matching tokens based on the provided regexp.SimpleQueryParser is used to parse human readable query syntax.
Fragmenter implementation which breaks text up into same-size fragments but does not
split up Spans.Base class for queries that expand to sets of simple terms.
Callback to visit each matching term during "rewrite" in
SimpleTerm.MatchingTermVisitor.visitMatchingTerm(Term)Forked from
BKDReader and simplified/specialized for SimpleText's usageForked from
BKDWriter and simplified/specialized for SimpleText's usageplain text index format.
plain text compound format.
plain text doc values format.
plaintext field infos format
For debugging, curiosity, transparency only!! Do not use this codec in production.
Reads vector values from a simple text format.
Writes vector-valued fields in a plain text format
reads/writes plaintext live docs
plain-text norms format.
Writes plain-text norms.
Reads plain-text norms.
For debugging, curiosity, transparency only!! Do not use this codec in production.
For debugging, curiosity, transparency only!! Do not use this codec in production.
plain text segments file format.
This class reads skip lists with multiple levels.
plain text skip data.
plain text stored fields format.
reads plaintext stored fields
Writes plain-text stored fields.
plain text term vectors format.
Reads plain-text term vectors.
Writes plain-text term vectors.
Parses shape geometry represented in WKT format
Enumerated type for Shapes
An implementation class of
FragListBuilder that generates one FieldFragList.WeightedFragInfo
object.A function with a single argument
Implements
LockFactory for a single in-process instance, meaning all locking will take
place through this one instance.Subclass of FilteredTermsEnum for enumerating a single term.
Exposes multi-valued view over a single-valued instance.
Exposes multi-valued iterator view over a single-valued iterator.
Directory that wraps another, and that sleeps and retries if obtaining the lock fails.
Math functions that trade off accuracy for speed.
Find all slop-valid position-combinations (matches) encountered while traversing/hopping the
PhrasePositions.
A
SlopQueryNode represents phrase query with a slop.This builder basically reads the
Query object set on the SlopQueryNode child
using QueryTreeBuilder.QUERY_TREE_BUILDER_TAGID and applies the slop value defined in the
SlopQueryNode.Wraps arbitrary readers for merging.
A merged
CodecReader view of multiple CodecReader.ImpactsEnum that doesn't index impacts but implements the API in a legal way.Reports on slow queries in a given match run
An individual entry in the slow log
Floating point numbers smaller than 32 bits.
SmartChineseAnalyzer is an analyzer for Chinese or mixed Chinese-English text.
Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
An
IndexDeletionPolicy that wraps any other IndexDeletionPolicy and adds the
ability to hold and later release snapshots of an index.A filter that stems words using a Snowball-generated stemmer.
Factory for
SnowballFilter, with configurable languageBase class for a snowball stemmer
Parent class of all snowball stemmers, which must implement
stemThis reader filters out documents that have a doc values value in the given field and treat these
documents as soft deleted.
This
MergePolicy allows to carry over soft deleted documents across merges.Parser for the Solr synonyms format.
Analyzer for Sorani Kurdish.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies SoraniNormalizer to normalize the orthography.Factory for
SoraniNormalizationFilter.Normalizes the Unicode representation of Sorani text.
A
TokenFilter that applies SoraniStemmer to stem Sorani words.Factory for
SoraniStemFilter.Light stemmer for Sorani
Encapsulates sort criteria for returned hits.
A per-document byte[] with presorted values.
Field that stores a per-document
BytesRef value, indexed for sorting.Implements a
TermsEnum wrapping a provided SortedDocValues.Buffers up pending byte[] per doc, deref and sorting via int ord, then flushes when segment
flushes.
This wrapper buffers incoming elements and makes sure they are sorted based on given comparator.
A list of per-document numeric values, sorted according to
Long.compare(long, long).Field that stores a per-document
long values for scoring, sorting or value
retrieval.Similar to SortedNumericDocValuesRangeQuery but for a set
Buffers up pending long[] per doc, sorts, then flushes when segment flushes.
Selects a value from the document's list to use as the representative value
Wraps a SortedNumericDocValues and returns the last value (max)
Wraps a SortedNumericDocValues and returns the first value (min)
Type of selection to perform.
SortField for
SortedNumericDocValues.A SortFieldProvider for this sort field
A multi-valued version of
SortedDocValues.Compute facets counts from previously indexed
SortedSetDocValuesFacetField, without
require a separate taxonomy index.Add an instance of this to your Document for every facet label to be indexed via
SortedSetDocValues.
Field that stores a set of per-document
BytesRef values, indexed for
faceting,grouping,joining.Wraps a
IndexReader and resolves ords using existing SortedSetDocValues APIs
without a separate taxonomy index.Holds children and sibling information for a single dimension.
Holds start/end range of ords, which maps to one dimension.
Implements a
TermsEnum wrapping a provided SortedSetDocValues.Buffers up pending byte[]s per doc, deref and sorting via int ord, then flushes when segment
flushes.
Retrieves
FunctionValues instances for multi-valued string based fields.Selects a value from the document's set to use as the representative value
Wraps a SortedSetDocValues and returns the last ordinal (max)
Wraps a SortedSetDocValues and returns the middle ordinal (or max of the two)
Wraps a SortedSetDocValues and returns the middle ordinal (or min of the two)
Wraps a SortedSetDocValues and returns the first ordinal (min)
Type of selection to perform.
SortField for
SortedSetDocValues.A SortFieldProvider for this sort
Sorts documents of a given index by returning a permutation on the document IDs.
Base class for sorting algorithms implementations.
A permutation of doc IDs.
Stores information about how to sort documents by terms in an individual field.
A SortFieldProvider for field sorts
Specifies the type of the terms to be sorted, or special types such as CUSTOM
Reads/Writes a named SortField from a segment info file, used to record index sorts
An
CodecReader which supports sorting documents by a given Sort.Sorting FloatVectorValues that iterate over documents in the order of the provided sortMap
A visitor that copies every field it sees in the provided
StoredFieldsWriter.The strategy defining how a Hunspell dictionary should be loaded, with different tradeoffs.
A
Rescorer that re-sorts according to a provided Sort.Base class for building
SpanQuerysAn interface defining the collection of postings information from the leaves of a
SpansKeep matches that contain another SpanScorer.
A priority queue of DocIdSetIterators that orders by current doc ID.
Wrapper used in
SpanDisiPriorityQueue.A
DocIdSetIterator which is a disjunction of the approximations of the provided
iterators.Builder for
SpanFirstQueryMatches spans near the beginning of a field.
Formats text with different color intensity depending on the score of the term using the span
tag.
Analyzer for Spanish.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies SpanishLightStemmer to stem Spanish words.Factory for
SpanishLightStemFilter.Light Stemmer for Spanish
Deprecated.
Use
SpanishPluralStemFilter instead.Deprecated.
Use
SpanishPluralStemFilterFactory insteadDeprecated.
Use
SpanishPluralStemmer instead.A
TokenFilter that applies SpanishPluralStemmer to stem Spanish words.Factory for
SpanishPluralStemFilterFactory.Plural Stemmer for Spanish
This class implements the stemming algorithm defined by a snowball script.
Wraps any
MultiTermQuery as a SpanQuery, so it can be nested within other
SpanQuery classes.Abstract class that defines how the query is rewritten.
A rewrite method that first translates each term into a SpanTermQuery in a
BooleanClause.Occur.SHOULD
clause in a BooleanQuery, and keeps the scores as computed by the query.Builder for
SpanNearQueryFactory for
SpanOrQueryMatches spans which are near one another.
A builder for SpanNearQueries
Builder for
SpanNotQueryRemoves matches which overlap with another SpanQuery or which are within x tokens before or y
tokens after another SpanQuery.
Builder for
SpanOrQueryMatches the union of its clauses.
Builder that analyzes the text into a
SpanOrQueryOnly return those matches that have a specific payload at the given position.
The payload type.
The payload type.
Base class for filtering a SpanQuery based on the position of a match.
Builder for
SpanPositionRangeQueryChecks to see if the
SpanPositionCheckQuery.getMatch() lies between a start and end positionBase class for span-based queries.
Interface for retrieving a
SpanQuery.Factory for
SpanQueryBuildersIterates through combinations of start/end positions per-doc.
Builder for
SpanTermQueryMatches spans containing a term.
Expert-only.
Enumeration defining what postings information should be retrieved from the index for a given
Spans
Keep matches that are contained within another Spans.
A bit set that only stores longs that have at least one bit which is set.
Holds spatial logic for a bounding box that works in the encoded space
utility class for implementing constant score logic specific to INTERSECT, WITHIN, and DISJOINT
Visitor used for walking the BKD tree.
Spell Checker class (Main class).
(initially inspired by the David Spencer code).
(initially inspired by the David Spencer code).
Virtually slices the text on both sides of every occurrence of the specified character.
Query that matches String prefixes
Lowest level base class for surround queries
Simple single-term clause
Query that matches wildcards
Stable radix sorter for variable-length strings.
A MergeSorter taking advantage of temporary storage.
Filters
StandardTokenizer with LowerCaseFilter and StopFilter, using a
configurable list of stop words.Default implementation of
DirectoryReader.Lookup tables for classes that can be serialized using a code.
This query configuration handler is used for almost every processor defined in the
StandardQueryNodeProcessorPipeline processor pipeline.Class holding keys for StandardQueryNodeProcessorPipeline options.
Boolean Operator: AND or OR
This pipeline has all the processors needed to process a query node tree, generated by
StandardSyntaxParser, already assembled.The
StandardQueryParser is a pre-assembled query parser that supports most features of
the classic Lucene query parser,
allows dynamic configuration of some of its features (like multi-field expansion or wildcard
query restrictions) and adds support for new query types and expressions.This query tree builder only defines the necessary map to build a
Query tree object.Parser for the standard Lucene syntax
Token literal values and constants.
Token Manager.
A grammar-based tokenizer constructed with JFlex.
Factory for
StandardTokenizer.This class implements Word Break rules from the Unicode Text Segmentation
algorithm, as specified in
Unicode Standard Annex #29.
3D rectangle, bounded on six sides by X,Y,Z limits
Pair of states.
A thin wrapper of
IntIntHashMap Maps from state in integer representation to its
reference count Whenever the count of a state is 0, that state will be removed from the setBlockTree statistics for a single field returned by
FieldReader.getStats().BlockTree statistics for a single field returned by
FieldReader.getStats().Represents a term and its details stored in the
BlockTermState.Reads block lines encoded incrementally, with all fields corresponding to the term of the line.
Reads terms blocks with the Shared Terms format.
Writes terms blocks with the Shared Terms format.
Stemmer uses the affix rules declared in the Dictionary to generate one or more stems for a word.
Provides the ability to override any
KeywordAttribute aware stemmer with custom
dictionary-based stemming.This builder builds an
FST for the StemmerOverrideFilterA read-only 4-byte FST backed map that allows fast case-insensitive key value lookups for
StemmerOverrideFilterFactory for
StemmerOverrideFilter.Some commonly-used stemming functions
Transforms the token stream as per the stemming algorithm.
Factory for
StempelFilter using a Polish stemming table.Stemmer class is a convenient facade for other stemmer-related classes.
The "intersect"
TermsEnum response to STUniformSplitTerms.intersect(CompiledAutomaton, BytesRef), intersecting the terms with an
automaton.Combines
PostingsEnum for the same term for a given field from multiple segments.Removes stop words from a token stream.
Removes stop words from a token stream.
Factory for
StopFilter.Base class for Analyzers that need to make use of stopword sets.
A field whose value is stored so that
IndexSearcher.storedFields() and IndexReader.storedFields() will return the field and its value.API for reading stored fields.
Controls the format of stored fields
Codec API for reading stored fields.
Codec API for writing stored fields:
For every document,
StoredFieldsWriter.startDocument() is called, informing the Codec that a new
document has started.Expert: provides a low-level means of accessing the stored field values in an index.
Enumeration of possible return values for
StoredFieldVisitor.needsField(org.apache.lucene.index.FieldInfo).Abstraction around a stored value.
Type of a
StoredValue.Abstract
FunctionValues implementation which supports retrieving String values.Used for parsing Version strings so we don't have to use overkill String.split nor
StringTokenizer (which silently skips empty tokens).
Interface for string distances.
A field that is indexed but not tokenized: the entire String value is indexed as a single token.
Methods for manipulating strings.
A
BytesRef sorter tries to use a efficient radix sorter if StringSorter.cmp is a
BytesRefComparator, otherwise fallback to StringSorter.fallbackSorter(java.util.Comparator<org.apache.lucene.util.BytesRef>)String manipulation routines
Compute facet counts from a previously indexed
SortedSetDocValues or SortedDocValues field.PostingsFormat based on the Uniform Split technique and supporting Shared Terms.Extends
UniformSplitTerms for a shared-terms dictionary, with all the fields of a term in
the same block line.A block-based terms index and dictionary based on the Uniform Split technique, and sharing all
the fields terms in the same dictionary, with all the fields of a term in the same block line.
Extends
UniformSplitTermsWriter by sharing all the fields terms in the same dictionary
and by writing all the fields of a term in the same block line.A generator for misspelled word corrections based on Hunspell flags.
Field that indexes a string value and a weight as a weighted completion against a named
suggester.
A cache allowing for CPU-cache-friendlier iteration over
WordStorage entries that can be
used for suggestions.Adds document suggest capabilities to IndexSearcher.
An exception thrown when
Hunspell.suggest(java.lang.String) call takes too long, if TimeoutPolicy.THROW_EXCEPTION is used.Set of strategies for suggesting related terms
Bounded priority queue for
TopSuggestDocs.SuggestScoreDocs.Like
StopFilter except it will not remove the last token if that token was not followed
by some token separator.Factory for
SuggestStopFilter.SuggestWord, used in suggestSimilar method in SpellChecker class.
Frequency first, then score.
Sorts SuggestWord instances
Score first, then frequency
SumFloatFunction returns the sum of its components.Calculate the final score as the sum of scores of all payloads seen.
SumTotalTermFreqValueSource returns the number of tokens.Annotation to suppress forbidden-apis errors inside a whole class, a method, or a field.
Analyzer for Swedish.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies SwedishLightStemmer to stem Swedish words.Factory for
SwedishLightStemFilter.Light Stemmer for Swedish.
A
TokenFilter that applies SwedishMinimalStemmer to stem Swedish words.Factory for
SwedishMinimalStemFilter.Minimal Stemmer for Swedish.
This class implements the stemming algorithm defined by a snowball script.
A similarity with a lengthNorm that provides for a "plateau" of equally good lengths, and tf
helper functions.
Deprecated.
Use
SynonymGraphFilter instead, but be sure to also use FlattenGraphFilter at index time (not at search time) as well.Deprecated.
Use
SynonymGraphFilterFactory instead, but be sure to also use FlattenGraphFilterFactory at index time (not at search time) as well.Applies single- or multi-token synonyms from a
SynonymMap to an incoming TokenStream, producing a fully correct graph output.Factory for
SynonymGraphFilter.A map of synonyms, keys and values are phrases.
Builds an FSTSynonymMap.
Abstraction for parsing synonym files.
A query that treats multiple terms as synonyms.
A builder for
SynonymQuery.QueryNode for clauses that are synonym of each other.Builder for
SynonymQueryNode.A parser needs to implement
SyntaxParser interfaceAnalyzer for Tamil.
Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
This class implements the stemming algorithm defined by a snowball script.
Executor wrapper responsible for the execution of concurrent tasks.
Holds all the sub-tasks that a certain operation gets split into as it gets parallelized and
exposes the ability to invoke such tasks and wait for them all to complete their execution and
provide their results.
Facets results selector to get children for selected parent.
Deprecated.
Custom binary encodings for taxonomy ordinals are no longer supported starting with
Lucene 9.
Aggregates float values associated with facet fields.
Aggregates int values previously indexed with
IntAssociationFacetField, assuming the
default encoding.Utility class to easily retrieve previously indexed facet labels, allowing you to skip also
adding stored fields for these values, reducing your index size.
Deprecated.
Visibility of this class will be reduced to pkg-private in a future version.
An accumulator for an aggregated value.
Intermediate result to store top children for a given path before resolving labels, etc.
FacetCutter for facets that use taxonomy side-car index.Deprecated.
This class is being deprecated in favor of
TaxonomyFacetFloatAssociations,
which provides more flexible aggregation functionality beyond just "sum"Deprecated.
This class is being deprecated in favor of
TaxonomyFacetIntAssociations,
which provides more flexible aggregation functionality beyond just "sum"Deprecated.
This class is being deprecated in favor of
TaxonomyFacetFloatAssociations,
which provides more flexible aggregation functionality beyond just "sum"A
ParallelTaxonomyArrays that are initialized from the taxonomy index.Utility methods for merging index and taxonomy directories.
Map taxonomy labels to ordinals.
TaxonomyReader is the read-only interface with which the faceted-search library uses the taxonomy
during search time.
An iterator over a category's children.
TaxonomyWriter is the interface which the faceted-search library uses to dynamically build the
taxonomy at indexing time.
TaxonomyWriterCache is a relatively simple interface for a cache of category->ordinal
mappings, used in TaxonomyWriter implementations (such as
DirectoryTaxonomyWriter).This TokenFilter provides the ability to set aside attribute states that have already been
analyzed.
TokenStream output from a tee.
A convenience wrapper for storing the cached states as well the final state of the stream.
Analyzer for Telugu.
Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
A
TokenFilter that applies TeluguNormalizer to normalize the orthography.Factory for
TeluguNormalizationFilter.Normalizer for Telugu.
A
TokenFilter that applies TeluguStemmer to stem Telugu words.Factory for
TeluguStemFilter.Stemmer for Telugu.
A Term represents a word from text.
Wraps a term and boost
Word2Vec unit composed by a term with the associated vector
A proximity query that lets you express an automaton, whose transitions are terms, to match
documents.
Sorts by docID so we can quickly pull out all scorers that are on the same (lowest) docID.
Sorts by position so we can visit all scorers on one doc, by position.
Term of a block line.
Presearcher implementation that uses terms extracted from queries to index them in the Monitor,
and builds a disjunction from terms in a document to match them.
Constructs a document disjunction from a set of terms
Sets the custom term frequency of a term within one document.
Default implementation of
TermFrequencyAttribute.Function that returns
PostingsEnum.freq() for the supplied term
in every document.An implementation of
GroupFacetCollector that computes grouped facets based on the
indexed terms from DocValues.A GroupSelector implementation that groups via SortedDocValues
Specialization for a disjunction over many terms that, by default, behaves like a
ConstantScoreQuery over a BooleanQuery containing only BooleanClause.Occur.SHOULD clauses.A
MatchesIterator over a single term's postings listSorts by field's natural Term sort order, using ordinals.
A Query that matches documents containing a term.
Builder for
TermQueryA Query that matches documents within an range of terms.
This query node represents a range query composed by
FieldQueryNode bounds, which means
the bound values are strings.Builds a
TermRangeQuery object from a TermRangeQueryNode object.This processors process
TermRangeQueryNodes.Access to the terms in a specific field.
A collector that collects all terms from a specified field matching the query.
Expert: A
Scorer for documents matching a Term.Iterator to seek (
TermsEnum.seekCeil(BytesRef), TermsEnum.seekExact(BytesRef)) or step through
(BytesRefIterator.next() terms to obtain frequency information (TermsEnum.docFreq()), PostingsEnum or
PostingsEnum for the current term (TermsEnum.postings(org.apache.lucene.index.PostingsEnum).Represents returned result from
TermsEnum.seekCeil(org.apache.lucene.util.BytesRef).Wrapper around a
TermsEnum and an integer that identifies it.Wrapper around a term that allows for quick equals comparisons.
A TokenStream created from a
TermsEnumThis class is passed each token produced by the analyzer on each field during indexing, and it
stores these tokens in a hash table, and allocates separate byte streams per token.
This class stores streams of information per term without knowing the size of the stream ahead of
time.
BlockTermsReader interacts with an instance of this class to manage its terms index.Similar to TermsEnum, except, the only "metadata" it reports for a given indexed term is the
long fileOffset into the main terms dictionary file.
Base class for terms index implementations to plug into
BlockTermsWriter.Expert: Public for extension only.
A query that has an array of terms from a specific field.
Builds a BooleanQuery from all of the terms found in the XML element using the choice of analyzer
Encapsulates all required internal state to position the associated
TermsEnum without
re-seeking.Wrapper over TermState, ordinal value, term doc frequency and total term frequency
Contains statistics for a specific term
Holder for per-term statistics.
Holder for a term along with its statistics (
TermStats.docFreq and TermStats.totalTermFreq).This attribute is requested by TermsHashPerField to index the contents.
A filtered LeafReader that only includes the terms that are also in a provided set of terms.
Wraps a Terms with a
LeafReader, typically from term vectors.Uses term vectors that contain offsets.
API for reading term vectors.
Controls the format of term vectors
Codec API for reading term vectors:
Codec API for writing term vectors:
For every document,
TermVectorsWriter.startDocument(int) is called, informing the Codec how many
fields will be written.Calculates the weight of a
TermTernary Search Tree.
The class creates a TST node.
Computes a triangular mesh tessellation for a given polygon.
Implementation of this interface will receive calls with internal data at each step of the
triangulation algorithm.
Circular Doubly-linked list used for polygon coordinates
state of the tessellated split - avoids recursion
Triangle in the tessellated mesh
A set of static methods returning accessors for internal, package-private functionality in
Lucene.
Interface for a node that has text as a
CharSequenceA field that is indexed and tokenized, without term vectors.
Low-level class used to record information about a section of a document with a score.
Implementation of
Similarity with the Vector Space Model.Function that returns
TFIDFSimilarity.tf(float) for every document.Analyzer for Thai language.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
Tokenizer that use
BreakIterator to tokenize Thai text.Factory for
ThaiTokenizer.Thrown by lucene on detecting that Thread.interrupt() had been called.
Merges segments of approximately equal size, subject to an allowed number of segments per tier.
Holds score and explanation for a single candidate merge.
The
TimeLimitingBulkScorer is used to timeout search requests that take longer than the
maximum allowed search time limit.Thrown when elapsed search time exceeds allowed search time.
Deprecated.
Use
IndexSearcher.setTimeout(QueryTimeout) to time out queries.Thrown when elapsed search time exceeds allowed search time.
Thread used to timeout search requests.
A
KnnCollectorManager that collects results with a timeout.A strategy determining what to do when Hunspell API calls take too much time
Just like
ToParentBlockJoinQuery, except this query joins in reverse: you provide a Query
matching parent documents and it joins down to child documents.Analyzed token with morphological data from its dictionary.
Analyzed token with morphological data.
Describes the input token stream.
Describes the input token stream.
Describes the input token stream.
A TokenFilter is a TokenStream whose input is another TokenStream.
Abstract parent class for analysis factories that create
TokenFilter instances.This static holder class prevents classloading deadlock by delaying init of factories until
needed.
One, or several overlapping tokens, along with the score(s) and the scope of the original text.
Binary dictionary implementation for a known-word dictionary model: Words are encoded into an FST
mapping to a list of wordIDs.
Binary dictionary implementation for a known-word dictionary model: Words are encoded into an FST
mapping to a list of wordIDs.
Thin wrapper around an FST with root-arc caching for Japanese.
Thin wrapper around an FST with root-arc caching for Hangul syllables (11,172 arcs).
A
TokenizedPhraseQueryNode represents a node created by a code that
tokenizes/lemmatizes/analyzes.A Tokenizer is a TokenStream whose input is a Reader.
Abstract parent class for analysis factories that create
Tokenizer instances.This static holder class prevents classloading deadlock by delaying init of factories until
needed.
Token Manager Error.
Token Manager Error.
Token Manager Error.
Adds the
OffsetAttribute.startOffset() and OffsetAttribute.endOffset() First 4
bytes are the startFactory for
TokenOffsetPayloadTokenFilter.Convenience methods for obtaining a
TokenStream for use with the Highlighter -
can obtain from term vectors with offsets and positions or from an Analyzer re-parsing the stored
content.TokenStream created from a term vector field.
Analyzes the text, producing a single
OffsetsEnum wrapping the TokenStream
filtered to terms in the query, including wildcards.Consumes a TokenStream and creates an
Automaton where the transition labels are UTF8
bytes (or Unicode code points if unicodeArcs is true) from the TermToBytesRefAttribute.Consumes a TokenStream and creates an
TermAutomatonQuery where the transition labels are
tokens from the TermToBytesRefAttribute.This exception is thrown when determinizing an automaton would require too much work.
Static methods globally useful for 3d geometric work.
Exception thrown when
BasicQueryFactory would exceed the limit of query clauses.This query requires that you index children and parent docs as a single block, using the
IndexWriter.addDocuments() or IndexWriter.updateDocuments() API.A special sort field that allows sorting parent docs based on nested / child level fields.
Represents hits returned by
IndexSearcher.search(Query,int).A base class for all collectors that return a
TopDocs output.Create a TopFieldCollectorManager which uses a shared hit counter to maintain number of hits and
a shared
MaxScoreAccumulator to propagate the minimum score across segments if the
primary sort is by relevancy.Represents hits returned by
IndexSearcher.search(Query,int,Sort).Represents result returned by a grouping search.
How the GroupDocs score (if any) should be merged.
A second-pass collector that collects the TopDocs for each group, and returns them as a
TopGroups objectTopKnnCollector is a specific KnnCollector.
TopKnnCollectorManager responsible for creating
TopKnnCollector instances.Class that consumes incoming ordinals, sorts them by provided Comparable, and returns first top N
ordinals only.
Pair of ordinal and comparable to use in TopComparableQueue
Keeps top N results ordered by Comparable.
Deprecated.
Replaced by
TopOrdAndFloatQueue in 10.xHolds an ordinal and a float value.
Keeps highest results, first by largest float value, then tie break by smallest ord.
Holds a single entry.
Deprecated.
Replaced by
TopOrdAndIntQueue in 10.xHolds an ordinal and an int value.
Keeps highest results, first by largest int value, then tie break by smallest ord.
Holds a single entry.
Keeps highest results, first by largest value, then tie-break by smallest ord.
Holds a single entry.
Scorable leaf collector
Create a TopScoreDocCollectorManager which uses a shared hit counter to maintain number of hits
and a shared
MaxScoreAccumulator to propagate the minimum score across segmentsScoreDoc with an additional CharSequence keyCollector that collects completion and score, along with
document idBase rewrite method for collecting only the top terms via a priority queue.
Utility class for english translations of morphological data, used only for debugging.
Helper methods to ease implementing
Object.toString().Just counts the total number of hits.
Collector manager based on
TotalHitCountCollector that allows users to parallelize
counting the number of hits, expected to be used mostly wrapped in MultiCollectorManager.Description of the total number of hits of a query.
How the
TotalHits.value should be interpreted.TotalTermFreqValueSource returns the total term freq (sum of term freqs across all
documents).A delegating Directory that records which files were written to and deleted.
Holds one transition from an
Automaton.A Trie is used to store a dictionary of words and their stems.
An automaton allowing to achieve the same results as non-weighted
GeneratingSuggester.ngramScore(int, java.lang.String, java.lang.String, boolean), but faster (in O(s2.length) time).Trims leading and trailing whitespace from Tokens in the stream.
Factory for
TrimFilter.A token filter for truncating the terms into a specific length.
Factory for
TruncateTokenFilter.Ternary Search Trie implementation.
Suggest implementation based on a Ternary Search Tree
Analyzer for Turkish.Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class accesses the
static final set the first time.;
Normalizes Turkish token text to lower case.
Factory for
TurkishLowerCaseFilter.This class implements the stemming algorithm defined by a snowball script.
An interface for implementations that support 2-phase commit.
A utility for executing 2-phase commit on several objects.
Thrown by
TwoPhaseCommitTool.execute(TwoPhaseCommit...) when an object fails to
commit().Thrown by
TwoPhaseCommitTool.execute(TwoPhaseCommit...) when an object fails to
prepareCommit().Returned by
Scorer.twoPhaseIterator() to expose an approximation of a DocIdSetIterator.Makes the
TypeAttribute a payload.Factory for
TypeAsPayloadTokenFilter.Adds the
TypeAttribute.type() as a synonym, i.e.Factory for
TypeAsSynonymFilter.A Token's lexical type.
Default implementation of
TypeAttribute.Removes tokens whose types appear in a set of blocked types from a token stream.
Factory class for
TypeTokenFilter.Filters
UAX29URLEmailTokenizer with LowerCaseFilter
and StopFilter, using a list of English stop words.This class implements Word Break rules from the Unicode Text Segmentation algorithm, as specified
in Unicode Standard Annex #29 URLs and email
addresses are also tokenized according to the relevant RFCs.
Factory for
UAX29URLEmailTokenizer.This class implements Word Break rules from the Unicode Text Segmentation
algorithm, as specified in
Unicode Standard Annex #29
URLs and email addresses are also tokenized according to the relevant RFCs.
A parameter object to hold the components a
FieldOffsetStrategy needs.CharsSequence with escaped chars information.
This file contains unicode properties used by various
CharTokenizers.Class to encode java's UTF16 char[] into UTF8 byte[] without always allocating a new byte[] as
String.getBytes(StandardCharsets.UTF_8) does.
Holds a codepoint along with the number of bytes required to represent it in UTF8
An Analyzer that uses
UnicodeWhitespaceTokenizer.A UnicodeWhitespaceTokenizer is a tokenizer that divides text at whitespace.
A Highlighter that can get offsets from either postings (
IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS), term vectors (FieldType.setStoreTermVectorOffsets(boolean)), or via re-analyzing text.Builder for UnifiedHighlighter.
Flags for controlling highlighting behavior.
Fetches stored fields for highlighting.
Source of term offsets; essential for highlighting.
Wraps an IndexReader that remembers/caches the last call to
TermVectors.get(int) so
that if the next call has the same ID, then it is reused.PostingsFormat based on the Uniform Split technique.Terms based on the Uniform Split technique.A block-based terms index and dictionary based on the Uniform Split technique.
A block-based terms index and dictionary that assigns terms to nearly uniform length blocks.
Builds a
FieldMetadata that is the union of multiple FieldMetadata.Dictionary for unknown-word handling.
Dictionary for unknown-word handling.
Node that represents
Intervals.unordered(IntervalsSource...).Node that represents
Intervals.unorderedNoOverlaps(IntervalsSource, IntervalsSource).This wrapper buffers the incoming elements and makes sure they are in random order.
An object with this interface is a wrapper around another object (e.g., a filter with a
delegate).
This
MergePolicy is used for upgrading all existing segments of an index when calling
IndexWriter.forceMerge(int).Normalizes token text to UPPER CASE.
Factory for
UpperCaseFilter.An FST
Outputs implementation where each output is one or two non-negative long values.Holds two long outputs.
A
QueryCachingPolicy that tracks usage statistics of recently-used filters in order to
decide on which filters are worth caching.Class for building a User Dictionary.
Class for building a User Dictionary.
UserInputQueryBuilder uses 1 of 2 strategies for thread-safe parsing: 1) Synchronizing access to
"parse" calls on a previously supplied QueryParser or..
Converts UTF-32 automata to the equivalent UTF-8 representation.
Deprecated.
Use
LruTaxonomyWriterCache instead.Static helper methods.
Represents a path in TopNSearcher.
Holds a single input (IntsRef) + output, returned by
shortestPaths().Compares first by the provided comparator, and then tie breaks by path.input.
Utility class to find top N shortest paths from start point(s).
Holds the results for a top N search using
Util.TopNSearcherSmartChineseAnalyzer utility constants and methods
This interface should be implemented by
QueryNode that holds an arbitrary value.Instantiates
FunctionValues for a particular reader.A GroupSelector that groups via a ValueSource
Scorer which returns the result of FunctionValues.floatVal(int) as the score for
a document, and which filters out documents that don't match ValueSourceScorer.matches(int).A helper to parse the context of a variable name, which is the base variable, followed by the
sequence of array (integer or string indexed) and member accesses.
Represents what a piece of a variable does.
Selects index terms according to provided pluggable
VariableGapTermsIndexWriter.IndexTermSelector, and stores them in
a prefix trie that's loaded entirely in RAM stored as an FST.Sets an index term when docFreq >= docFreqThresh, or every interval terms.
Same policy as
FixedGapTermsIndexWriterHook for selecting which terms should be placed in the terms index.
A 3d vector in space, not necessarily going through the origin.
The numeric datatype of the vector values.
An implementation for retrieving
FunctionValues instances for knn vectors fields.A provider of vectorization implementations.
This static holder class prevents classloading deadlock.
Computes the similarity score between a given query vector and different document vectors.
Perform a similarity-based graph search.
Vector similarity function; used in search to return top K most similar vectors to a target
vector.
VectorSimilarityFunction returns a similarity function between two knn vectors.An abstract class that provides the vector similarity scores between the query vector and the
KnnFloatVectorField or KnnByteVectorField for documents.Utilities for computations with numeric arrays, especially algebraic operations like vector dot
products.
Interface for implementations of VectorUtil support.
Deprecated.
use
FloatVectorValues insteadStreams vector values for indexing to the given codec's vectors writer.
Converts individual ValueSource instances to leverage the FunctionValues *Val functions that work
with multiple values, i.e.
A
LockFactory that wraps another LockFactory and verifies that each lock
obtain/release is "correct" (never results in two processes holding the lock at the same time).Use by certain classes to match version compatibility across releases of Lucene.
This is just like
Lucene90BlockTreeTermsWriter, except it also stores a version per term,
and adds a method to its TermsEnum implementation to seekExact only if the version is >= the
specified version.BlockTree's implementation of
Terms.A utility for keeping backwards compatibility on previously abstract methods (or similar
replacements).
This implements the WAND (Weak AND) algorithm for dynamic pruning described in "Efficient Query
Evaluation using a Two-Level Retrieval Process" by Broder, Carmel, Herscovici, Soffer and Zien.
Implements a combination of
WeakHashMap and IdentityHashMap.Expert: Calculate query weights and build query scorers.
Just wraps a Scorer and performs top scoring using it.
A weighted implementation of
FieldFragList.A weighted implementation of
FragListBuilder.Lightweight class to hold term, weight, and positions used for scoring this term.
Class used to extract
WeightedSpanTerms from a Query based on whether Terms from the Query are contained in a supplied TokenStream.This class makes sure that if both position sensitive and insensitive versions of the same term
are added, the position insensitive one wins.
Lightweight class to hold term and a weight value used for scoring this term
Suggester based on a weighted FST: it first traverses the prefix, then walks the n
shortest paths to retrieve top-ranked suggestions.
An Analyzer that uses
WhitespaceTokenizer.A tokenizer that divides text at whitespace characters as defined by
Character.isWhitespace(int).Factory for
WhitespaceTokenizer.Just produces one single fragment for the entire text
Extension of StandardTokenizer that is aware of Wikipedia syntax.
Factory for
WikipediaTokenizer.JFlex-generated tokenizer that is aware of Wikipedia syntax.
Node that represents
Intervals.wildcard(BytesRef).Implements the wildcard search query.
A
WildcardQueryNode represents wildcard query This does not apply to phrases.Builds a
WildcardQuery object from a WildcardQueryNode object.The
StandardSyntaxParser creates PrefixWildcardQueryNode nodes which have values
containing the prefixed wildcard.Node that represents
Intervals.within(IntervalsSource, int, IntervalsSource).Word2VecModel is a class representing the parsed Word2Vec model containing the vectors for each
word in dictionary
Applies single-token synonyms from a Word2Vec trained network to an incoming
TokenStream.Factory for
Word2VecSynonymFilter.The Word2VecSynonymProvider generates the list of sysnonyms of a term.
Supply Word2Vec Word2VecSynonymProvider cache avoiding that multiple instances of
Word2VecSynonymFilterFactory will instantiate multiple instances of the same SynonymProvider.
A spell checker whose sole function is to offer suggestions by combining multiple terms into one
word and/or breaking terms into multiple words.
Determines the order to list word break suggestions
Deprecated.
Use
WordDelimiterGraphFilter instead: it produces a correct token graph so
that e.g.Deprecated.
Use
WordDelimiterGraphFilterFactory instead: it produces a correct token
graph so that e.g.Splits words into subwords and performs optional transformations on subword groups, producing a
correct token graph so that e.g.
Factory for
WordDelimiterGraphFilter.A BreakIterator-like API for iterating over subwords in text, according to
WordDelimiterGraphFilter rules.
SmartChineseAnalyzer Word Dictionary
A utility class used for generating possible word forms by adding affixes to stems (
WordFormGenerator.getAllWordForms(String, String, Runnable)), and suggesting stems and flags to generate the
given set of words (WordFormGenerator.compress(List, Set, Runnable)).Loader for text files that represent a list of stopwords.
Parser for wordnet prolog format
Segment a sentence of Chinese text into words.
A data structure for memory-efficient word storage and fast lookup/enumeration.
Internal SmartChineseAnalyzer token type constants
A Collector that decodes the stored query for each document hit.
3D rectangle, bounded on six sides by X,Y,Z limits, degenerate in Y and Z.
3D rectangle, bounded on six sides by X,Y,Z limits, degenerate in Y
Represents a circle on the XY plane.
An per-document location field.
XYGeometry query for
XYDocValuesField.3D rectangle, bounded on six sides by X,Y,Z limits, degenerate in Z
reusable cartesian geometry encoding methods
Cartesian Geometry object.
Represents a line in cartesian space.
Represents a point on the earth's surface.
Compares documents by distance from an origin point
An indexed XY position field.
Finds all previously indexed points that fall within the specified XY geometries.
Sorts by distance from an origin location.
Represents a polygon in cartesian space.
Represents a x/y cartesian rectangle.
A cartesian shape utility class for indexing and searching geometries whose vertices are unitless
x, y values.
A concrete implementation of
ShapeDocValues for storing binary doc value representation
of XYShape geometries in a XYShapeDocValuesFieldConcrete implementation of a
ShapeDocValuesField for cartesian geometries.Bounding Box query for
ShapeDocValuesField representing XYShapeFinds all previously indexed cartesian shapes that comply the given
ShapeField.QueryRelation with
the specified array of XYGeometry.An object for accumulating XYZ bounds information.
Interface for a family of 3D rectangles, bounded on six sides by X,Y,Z limits
Factory for
XYZSolid.This class implements the stemming algorithm defined by a snowball script.