core/org.gnit.lucenekmp.codecs.lucene90.blocktree/FieldReader

FieldReader

class FieldReader : Terms

BlockTree's implementation of Terms.

Types

object Companion

Properties

open override val docCount: Int

val fieldInfo: FieldInfo

val index: FST<BytesRef>

open override val max: BytesRef?

val maxTerm: BytesRef?

open override val min: BytesRef?

val minTerm: BytesRef?

val numTerms: Long

val parent: Lucene90BlockTreeTermsReader

val rootBlockFP: Long

val rootCode: BytesRef

val stats: Stats

open override val sumDocFreq: Long

sumTotalTermFreq

open override val sumTotalTermFreq: Long

Functions

open override fun getStats(): Any

Expert: returns additional information about this Terms instance for debugging purposes.

open override fun hasFreqs(): Boolean

Returns true if documents in this field store per-document term frequency ( ).

open override fun hasOffsets(): Boolean

Returns true if documents in this field store offsets.

open override fun hasPayloads(): Boolean

Returns true if documents in this field store payloads.

open override fun hasPositions(): Boolean

Returns true if documents in this field store positions.

open override fun intersect(compiled: CompiledAutomaton, startTerm: BytesRef?): TermsEnum

Returns a TermsEnum that iterates over all terms and documents that are accepted by the provided CompiledAutomaton. If the startTerm is provided then the returned enum will only return terms > startTerm, but you still must call next() first to get to the first term. Note that the provided startTerm must be accepted by the automaton.

open override fun iterator(): TermsEnum

Returns an iterator that will step through all terms. This method will not return null.

readVLongOutput

fun readVLongOutput(in: DataInput): Long

open override fun size(): Long

Returns the number of terms for this field, or -1 if this measure isn't stored by the codec. Note that, just like other term measures, this measure does not take deleted documents into account.

open override fun toString(): String