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Packages 169

JRuby

org.apache.lucene.search 162

C AbstractDocIdSetIterator

C AbstractKnnCollector

C AcceptDocs

C AutomatonQuery

C BlendedTermQuery

C BooleanQuery

I BoostAttribute

C BoostAttributeImpl

C BoostQuery

C BulkScorer

C ByteVectorSimilarityQuery

C CachingCollector

I CheckedIntConsumer

C CollectionTerminatedException

I Collector

I CollectorManager

C CombinedFieldQuery

C ConjunctionUtils

C ConstantScoreQuery

C ConstantScoreScorer

C ConstantScoreScorerSupplier

C ConstantScoreWeight

C ControlledRealTimeReopenThread

C DisiPriorityQueue

C DisiWrapper

C DisjunctionDISIApproximation

C DisjunctionMaxQuery

C DocAndFloatFeatureBuffer

C DocAndScoreAccBuffer

C DocIdSet

C DocIdSetBulkIterator

C DocIdSetIterator

C DocIdStream

C DocValuesRangeIterator

C DocValuesRewriteMethod

C DoubleValues

C DoubleValuesSource

C DoubleValuesSourceRescorer

C ExactPhraseMatcher

C Explanation

C FieldComparator

C FieldComparatorSource

C FieldDoc

C FieldExistsQuery

C FieldValueHitQueue

C FilterCollector

C FilterDocIdSetIterator

C FilterLeafCollector

C FilterMatchesIterator

C FilterScorable

C FilterScorer

C FilterWeight

C FilteredDocIdSetIterator

C FloatVectorSimilarityQuery

C FullPrecisionFloatVectorSimilarityValuesSource

C FuzzyQuery

C FuzzyTermsEnum

C HitQueue

C HnswQueueSaturationCollector

C ImpactsDISI

C IndexOrDocValuesQuery

C IndexSearcher

C IndexSortSortedNumericDocValuesRangeQuery

C IndriAndQuery

C IndriAndScorer

C IndriAndWeight

C IndriDisjunctionScorer

C IndriQuery

C IndriScorer

C KnnByteVectorQuery

I KnnCollector

C KnnFloatVectorQuery

C LRUQueryCache

C LateInteractionFloatValuesSource

C LateInteractionRescorer

I LeafCollector

I LeafFieldComparator

C LiveFieldValues

C LongValues

C LongValuesSource

C MatchAllDocsQuery

C MatchNoDocsQuery

I Matches

I MatchesIterator

C MatchesUtils

I MaxNonCompetitiveBoostAttribute

C MaxNonCompetitiveBoostAttributeImpl

C MaxScoreCache

C MultiCollector

C MultiCollectorManager

C MultiPhraseQuery

C MultiTermQuery

I MultiVectorSimilarity

C Multiset

C NGramPhraseQuery

C NamedMatches

C NumericDocValuesRangeQuery

C PatienceKnnVectorQuery

C PhraseMatcher

C PhraseQuery

C PhraseWeight

C PointInSetQuery

C PointRangeQuery

C PositiveScoresOnlyCollector

C PrefixQuery

E Pruning

C Query

I QueryCache

I QueryCachingPolicy

C QueryRescorer

C QueryVisitor

C ReferenceManager

I RefreshCommitSupplier

C RegexpQuery

C RescoreTopNQuery

C Rescorer

C Scorable

C ScoreCachingWrappingScorer

C ScoreDoc

E ScoreMode

C Scorer

C ScorerSupplier

C ScoringRewrite

C SearcherFactory

C SearcherLifetimeManager

C SearcherManager

C SeededKnnVectorQuery

I SegmentCacheable

C SimpleCollector

C SimpleFieldComparator

C SkipBlockRangeIterator

C SloppyPhraseMatcher

C Sort

C SortField

C SortRescorer

C SortedNumericSelector

C SortedNumericSortField

C SortedSetSelector

C SortedSetSortField

C SynonymQuery

C TaskExecutor

C TermInSetQuery

C TermQuery

C TermRangeQuery

C TermScorer

C TimeLimitingKnnCollectorManager

C TopDocs

C TopDocsCollector

C TopFieldCollector

C TopFieldCollectorManager

C TopFieldDocs

C TopKnnCollector

C TopScoreDocCollector

C TopScoreDocCollectorManager

C TopTermsRewrite

C TotalHitCountCollector

C TotalHitCountCollectorManager

C TwoPhaseIterator

C UsageTrackingQueryCachingPolicy

I VectorScorer

C Weight

C WildcardQuery

ScoreCachingWrappingScorer — members 4+

M children() ChildScorable>

C min_competitive_score=(min_score)

M score() float

M wrap(collector) LeafCollector

from Scorable

M smoothing_score(doc_id) float

org.apache.lucene.search.ScoreCachingWrappingScorer

class final extends Scorable 4 members

A Scorer which wraps another scorer and caches the score of the current document. Successive calls to #score() will return the same result and will not invoke the wrapped Scorer's score() method, unless the current document has changed.
This class might be useful due to the changes done to the Collector interface, in which the score is not computed for a document by default, only if the collector requests it. Some collectors may need to use the score in several places, however all they have in hand is a Scorer object, and might end up computing the score of a document more than once.

Class Methods

wrap

LeafCollector wrap ( LeafCollector collector )

Java: wrap(org.apache.lucene.search.LeafCollector collector)

Wrap the provided LeafCollector so that scores are computed lazily and cached if accessed multiple times.

Instance Methods

children

Collection<Scorable.ChildScorable> children ( )

Java: getChildren() · also: get_children

min_competitive_score=

min_competitive_score= ( float min_score )

Java: setMinCompetitiveScore(float minScore) · also: set_min_competitive_score

score

float score ( )

Java: score()

Inherited

from Scorable

smoothing_score

float smoothing_score ( int doc_id )

Java: smoothingScore(int docId)

Returns the smoothing score of the current document matching the query. This score is used when the query/term does not appear in the document, and behaves like an idf. The smoothing score is particularly important when the Scorer returns a product of probabilities so that the document score does not go to zero when one probability is zero. This can return 0 or a smoothing score.

Smoothing scores are described in many papers, including: Metzler, D. and Croft, W. B. , "Combining the Language Model and Inference Network Approaches to Retrieval," Information Processing and Management Special Issue on Bayesian Networks and Information Retrieval, 40(5), pp.735-750.

Packages 169

JRuby

org.apache.lucene.search.ScoreCachingWrappingScorer

Class Methods

wrap

Instance Methods

children

min_competitive_score=

score

Inherited

from Scorable

smoothing_score

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