org.apache.lucene.search

Class TermAutomatonQuery.TermAutomatonWeight

java.lang.Object

org.apache.lucene.search.Weight

org.apache.lucene.search.TermAutomatonQuery.TermAutomatonWeight

All Implemented Interfaces:

SegmentCacheable

Enclosing class:

TermAutomatonQuery

final class TermAutomatonQuery.TermAutomatonWeight
extends Weight

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.lucene.search.Weight

Weight.DefaultBulkScorer

Field Summary

Fields

Modifier and Type	Field and Description
(package private) Automaton	automaton
private Similarity	similarity
private Similarity.SimScorer	stats
private java.util.Map<java.lang.Integer,TermStates>	termStates

Fields inherited from class org.apache.lucene.search.Weight

parentQuery

Constructor Summary

Constructors

Constructor and Description
TermAutomatonWeight(Automaton automaton, IndexSearcher searcher, java.util.Map<java.lang.Integer,TermStates> termStates, float boost)

Method Summary

Modifier and Type	Method and Description
Explanation	explain(LeafReaderContext context, int doc) An explanation of the score computation for the named document.
void	extractTerms(java.util.Set<Term> terms) Expert: adds all terms occurring in this query to the terms set.
boolean	isCacheable(LeafReaderContext ctx)
Scorer	scorer(LeafReaderContext context) Returns a Scorer which can iterate in order over all matching documents and assign them a score.
java.lang.String	toString()

Methods inherited from class org.apache.lucene.search.Weight

bulkScorer, getQuery, matches, scorerSupplier

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

automaton

final Automaton automaton

termStates

private final java.util.Map<java.lang.Integer,TermStates> termStates

stats

private final Similarity.SimScorer stats

similarity

private final Similarity similarity

Constructor Detail

TermAutomatonWeight

public TermAutomatonWeight(Automaton automaton,
                           IndexSearcher searcher,
                           java.util.Map<java.lang.Integer,TermStates> termStates,
                           float boost)
                    throws java.io.IOException

Throws:

java.io.IOException

Method Detail

extractTerms

public void extractTerms(java.util.Set<Term> terms)

Description copied from class: Weight

Expert: adds all terms occurring in this query to the terms set. If the Weight was created with needsScores == true then this method will only extract terms which are used for scoring, otherwise it will extract all terms which are used for matching.

Specified by:

extractTerms in class Weight

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

scorer

public Scorer scorer(LeafReaderContext context)
              throws java.io.IOException

Description copied from class: Weight

Returns a Scorer which can iterate in order over all matching documents and assign them a score.

NOTE: null can be returned if no documents will be scored by this query.

NOTE: The returned Scorer does not have LeafReader.getLiveDocs() applied, they need to be checked on top.

Specified by:

scorer in class Weight

Parameters:

context - the LeafReaderContext for which to return the Scorer.

Returns:

a Scorer which scores documents in/out-of order.

Throws:

java.io.IOException - if there is a low-level I/O error

isCacheable

public boolean isCacheable(LeafReaderContext ctx)

Returns:

true if the object can be cached against a given leaf

explain

public Explanation explain(LeafReaderContext context,
                           int doc)
                    throws java.io.IOException

Description copied from class: Weight

An explanation of the score computation for the named document.

Specified by:

explain in class Weight

Parameters:

context - the readers context to create the Explanation for.

doc - the document's id relative to the given context's reader

Returns:

an Explanation for the score

Throws:

java.io.IOException - if an IOException occurs