Deprecated.

Deprecated.

Creates a new QueryAutoStopWordAnalyzer with stopwords calculated for all indexed fields from terms with a document frequency percentage greater than the given maxPercentDocs

Creates a new QueryAutoStopWordAnalyzer with stopwords calculated for the given selection of fields from terms with a document frequency percentage greater than the given maxPercentDocs

Create the FacetsAccumulator to be used.

Load TotalFacetCounts matching input parameters from the provided outputFile and add them into the cache for the provided indexReader, taxonomy, and facetIndexingParams.

Create an AdaptiveFacetsAccumulator

Create a collector for accumulating facets while collecting documents during search.

Create an aggregator for this facet request.

Create the category list iterator for the specified partition.

Constructor...

Open an IndexReader from the internal IndexWriter, by calling open(IndexWriter, boolean).

Create a complement of the input set.

An IndexReader which reads multiple indexes, appending their content.

This class produces a subset of the input index, by removing some postings data according to rules implemented in a TermPruningPolicy, and optionally it can also remove stored fields of documents according to rules implemented in a StorePruningPolicy.

Acts like Lucene 4.x's SlowMultiReaderWrapper for testing of top-level MultiTermEnum, MultiTermDocs, ...

Deprecated.

Deprecated.

If the index has changed since it was opened, open and return a new reader; else, return null.

Deprecated.

Deprecated.

Deprecated.

Expert: returns the sequential sub readers that this reader is logically composed of.

Expert: returns an IndexReader reading the index in the given IndexCommit.

Expert: returns an IndexReader reading the index in the given IndexCommit and termInfosIndexDivisor.

Deprecated.

Returns a IndexReader reading the index in the given Directory, with readOnly=true.

Expert: Returns a IndexReader reading the index in the given Director and given termInfosIndexDivisor

Deprecated.

Deprecated.

Expert: If there changes (committed or not) in the IndexWriter versus what the provided reader is searching, then open and return a new read-only IndexReader searching both committed and uncommitted changes from the writer; else, return null (though, the current implementation never returns null).

Deprecated.

Deprecated.

Add an IndexReader.

Merges the provided indexes into this index.

Returns a PayloadProcessorProvider.ReaderPayloadProcessor for the given Directory, through which PayloadProcessorProvider.PayloadProcessors can be obtained for each Term, or null if none should be used.

If the index has changed since the provided reader was opened, open and return a new reader; else, return null.

If the IndexCommit differs from what the provided reader is searching, or the provided reader is not already read-only, open and return a new readOnly=true reader; else, return null.

Deprecated.

Creates a new MultipleTermPositions instance.

Construct a MultiReader aggregating the named set of (sub)readers.

Constructor with specific settings

Construct a policy.

Returns the atomic subReaders used by this searcher.

Explain the score we computed for doc

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as bytes and returns an array of size reader.maxDoc() of the value each document has in the given field.

Returns the a DocIdSetIterator representing the Boolean composition of the filters that have been added.

Filter.getDocIdSet(org.apache.lucene.index.IndexReader).

This method is implemented for each data type

Returns a DocIdSet with documents that should be permitted in search results.

Uses the FilterManager to keep the cache for a filter on the searcher side of a remote connection.

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as integers and returns an array of size reader.maxDoc() of the value each document has in the given field.

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as doubles and returns an array of size reader.maxDoc() of the value each document has in the given field.

Construct the enumeration to be used, expanding the pattern term.

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as floats and returns an array of size reader.maxDoc() of the value each document has in the given field.

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as integers and returns an array of size reader.maxDoc() of the value each document has in the given field.

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as integers and returns an array of size reader.maxDoc() of the value each document has in the given field.

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as longs and returns an array of size reader.maxDoc() of the value each document has in the given field.

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as shorts and returns an array of size reader.maxDoc() of the value each document has in the given field.

Checks the internal cache for an appropriate entry, and if none is found, reads the terms in field as shorts and returns an array of size reader.maxDoc() of the value each document has in the given field.

Checks the internal cache for an appropriate entry, and if none is found, reads the term values in field and returns an array of size reader.maxDoc() containing the value each document has in the given field.

Returns a new IndexSearcher over the given reader.

Rewrites the wrapped query.

Create the scorer used to score our associated DisjunctionMaxQuery

Set a new Reader.

Creates a FuzzyTermEnum with an empty prefix.

Creates a searcher searching the provided index.

Expert: directly specify the reader, subReaders and their docID starts.

Enumerates all terms greater/equal than lowerTerm but less/equal than upperTerm.

Return cached DocValues for input field and reader.

Returns a CustomScoreProvider that calculates the custom scores for the given IndexReader.

Return the DocValues used by the function query.

A convenience method that tries to first get a TermPositionVector for the specified docId, then, falls back to using the passed in Document to retrieve the TokenStream.

Creates a Map of WeightedSpanTerms from the given Query and TokenStream.

Expert: Returns the matches for this query in an index.

Deprecated.

Suggest similar words (optionally restricted to a field of an index).

create a fragment.

create multiple fragments.

return the best fragment.

return the best fragments.

Creates a new instantiated index that looks just like the index in a specific state as represented by a reader.

Gathers sub-readers from reader into a List.

Call this to get the (merged) FieldInfos for a composite reader

create a new searcher over the reader.