Class FSTOrdTermsWriter

FST-based term dict, using ord as FST output.

The FST holds the mapping between <term, ord>, and term's metadata is delta encoded into a single byte block.

Typically the byte block consists of four parts:

1. term statistics: docFreq, totalTermFreq;
2. monotonic long[], e.g. the pointer to the postings list for that term;
3. generic byte[], e.g. other information customized by postings base.
4. single-level skip list to speed up metadata decoding by ord.

Files:

• .tix: Term Index
• .tbk: Term Block

Term Index

The .tix contains a list of FSTs, one for each field. The FST maps a term to its corresponding order in current field.

• TermIndex(.tix) --> Header, TermFST^NumFields, Footer
• TermFST --> Lucene.Net.Util.Fst.FST<T>
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• Since terms are already sorted before writing to Term Block, their ords can directly used to seek term metadata from term block.

Term Block

The .tbk contains all the statistics and metadata for terms, along with field summary (e.g. per-field data like number of documents in current field). For each field, there are four blocks:

• statistics bytes block: contains term statistics;
• metadata longs block: delta-encodes monotonic part of metadata;
• metadata bytes block: encodes other parts of metadata;
• skip block: contains skip data, to speed up metadata seeking and decoding

File Format:

• TermBlock(.tbk) --> Header, PostingsHeader, FieldSummary, DirOffset
• FieldSummary --> NumFields, <FieldNumber, NumTerms, SumTotalTermFreq?, SumDocFreq, DocCount, LongsSize, DataBlock > ^NumFields, Footer
• DataBlock --> StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, SkipBlock, StatsBlock, MetaLongsBlock, MetaBytesBlock
• SkipBlock --> < StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipDelta^LongsSize >^NumTerms
• StatsBlock --> < DocFreq[Same?], (TotalTermFreq-DocFreq) ? > ^NumTerms
• MetaLongsBlock --> < LongDelta^LongsSize, BytesSize > ^NumTerms
• MetaBytesBlock --> Byte ^{MetaBytesBlockLength}
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• DirOffset --> Uint64 (WriteInt64(long))
• NumFields, FieldNumber, DocCount, DocFreq, LongsSize, FieldNumber, DocCount --> VInt (WriteVInt32(int))
• NumTerms, SumTotalTermFreq, SumDocFreq, StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipStart, TotalTermFreq, LongDelta,--> VLong (WriteVInt64(long))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• The format of PostingsHeader and MetaBytes are customized by the specific postings implementation: they contain arbitrary per-file data (such as parameters or versioning information), and per-term data (non-monotonic ones like pulsed postings data).
• During initialization the reader will load all the blocks into memory. SkipBlock will be decoded, so that during seek term dict can lookup file pointers directly. StatsFPDelta, MetaLongsSkipFPDelta, etc. are file offset for every SkipInterval's term. MetaLongsSkipDelta is the difference from previous one, which indicates the value of preceding metadata longs for every SkipInterval's term.
• DocFreq is the count of documents which contain the term. TotalTermFreq is the total number of occurrences of the term. Usually these two values are the same for long tail terms, therefore one bit is stole from DocFreq to check this case, so that encoding of TotalTermFreq may be omitted.

Note

This API is experimental and might change in incompatible ways in the next release.

Inheritance

object

FieldsConsumer

FSTOrdTermsWriter

Implements

IDisposable

Inherited Members

FieldsConsumer.Dispose()

FieldsConsumer.Merge(MergeState, Fields)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Lucene.Net.Codecs.Memory

Assembly: Lucene.Net.Codecs.dll

Syntax

public class FSTOrdTermsWriter : FieldsConsumer, IDisposable

Constructors

FSTOrdTermsWriter(SegmentWriteState, PostingsWriterBase)

FST-based term dict, using ord as FST output.

The FST holds the mapping between <term, ord>, and term's metadata is delta encoded into a single byte block.

Typically the byte block consists of four parts:

1. term statistics: docFreq, totalTermFreq;
2. monotonic long[], e.g. the pointer to the postings list for that term;
3. generic byte[], e.g. other information customized by postings base.
4. single-level skip list to speed up metadata decoding by ord.

Files:

• .tix: Term Index
• .tbk: Term Block

Term Index

The .tix contains a list of FSTs, one for each field. The FST maps a term to its corresponding order in current field.

• TermIndex(.tix) --> Header, TermFST^NumFields, Footer
• TermFST --> Lucene.Net.Util.Fst.FST<T>
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• Since terms are already sorted before writing to Term Block, their ords can directly used to seek term metadata from term block.

Term Block

The .tbk contains all the statistics and metadata for terms, along with field summary (e.g. per-field data like number of documents in current field). For each field, there are four blocks:

• statistics bytes block: contains term statistics;
• metadata longs block: delta-encodes monotonic part of metadata;
• metadata bytes block: encodes other parts of metadata;
• skip block: contains skip data, to speed up metadata seeking and decoding

File Format:

• TermBlock(.tbk) --> Header, PostingsHeader, FieldSummary, DirOffset
• FieldSummary --> NumFields, <FieldNumber, NumTerms, SumTotalTermFreq?, SumDocFreq, DocCount, LongsSize, DataBlock > ^NumFields, Footer
• DataBlock --> StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, SkipBlock, StatsBlock, MetaLongsBlock, MetaBytesBlock
• SkipBlock --> < StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipDelta^LongsSize >^NumTerms
• StatsBlock --> < DocFreq[Same?], (TotalTermFreq-DocFreq) ? > ^NumTerms
• MetaLongsBlock --> < LongDelta^LongsSize, BytesSize > ^NumTerms
• MetaBytesBlock --> Byte ^{MetaBytesBlockLength}
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• DirOffset --> Uint64 (WriteInt64(long))
• NumFields, FieldNumber, DocCount, DocFreq, LongsSize, FieldNumber, DocCount --> VInt (WriteVInt32(int))
• NumTerms, SumTotalTermFreq, SumDocFreq, StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipStart, TotalTermFreq, LongDelta,--> VLong (WriteVInt64(long))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• The format of PostingsHeader and MetaBytes are customized by the specific postings implementation: they contain arbitrary per-file data (such as parameters or versioning information), and per-term data (non-monotonic ones like pulsed postings data).
• During initialization the reader will load all the blocks into memory. SkipBlock will be decoded, so that during seek term dict can lookup file pointers directly. StatsFPDelta, MetaLongsSkipFPDelta, etc. are file offset for every SkipInterval's term. MetaLongsSkipDelta is the difference from previous one, which indicates the value of preceding metadata longs for every SkipInterval's term.
• DocFreq is the count of documents which contain the term. TotalTermFreq is the total number of occurrences of the term. Usually these two values are the same for long tail terms, therefore one bit is stole from DocFreq to check this case, so that encoding of TotalTermFreq may be omitted.

Note

This API is experimental and might change in incompatible ways in the next release.

Declaration

public FSTOrdTermsWriter(SegmentWriteState state, PostingsWriterBase postingsWriter)

Parameters

Type	Name	Description
SegmentWriteState	state
PostingsWriterBase	postingsWriter

Fields

SKIP_INTERVAL

FST-based term dict, using ord as FST output.

The FST holds the mapping between <term, ord>, and term's metadata is delta encoded into a single byte block.

Typically the byte block consists of four parts:

1. term statistics: docFreq, totalTermFreq;
2. monotonic long[], e.g. the pointer to the postings list for that term;
3. generic byte[], e.g. other information customized by postings base.
4. single-level skip list to speed up metadata decoding by ord.

Files:

• .tix: Term Index
• .tbk: Term Block

Term Index

The .tix contains a list of FSTs, one for each field. The FST maps a term to its corresponding order in current field.

• TermIndex(.tix) --> Header, TermFST^NumFields, Footer
• TermFST --> Lucene.Net.Util.Fst.FST<T>
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• Since terms are already sorted before writing to Term Block, their ords can directly used to seek term metadata from term block.

Term Block

The .tbk contains all the statistics and metadata for terms, along with field summary (e.g. per-field data like number of documents in current field). For each field, there are four blocks:

• statistics bytes block: contains term statistics;
• metadata longs block: delta-encodes monotonic part of metadata;
• metadata bytes block: encodes other parts of metadata;
• skip block: contains skip data, to speed up metadata seeking and decoding

File Format:

• TermBlock(.tbk) --> Header, PostingsHeader, FieldSummary, DirOffset
• FieldSummary --> NumFields, <FieldNumber, NumTerms, SumTotalTermFreq?, SumDocFreq, DocCount, LongsSize, DataBlock > ^NumFields, Footer
• DataBlock --> StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, SkipBlock, StatsBlock, MetaLongsBlock, MetaBytesBlock
• SkipBlock --> < StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipDelta^LongsSize >^NumTerms
• StatsBlock --> < DocFreq[Same?], (TotalTermFreq-DocFreq) ? > ^NumTerms
• MetaLongsBlock --> < LongDelta^LongsSize, BytesSize > ^NumTerms
• MetaBytesBlock --> Byte ^{MetaBytesBlockLength}
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• DirOffset --> Uint64 (WriteInt64(long))
• NumFields, FieldNumber, DocCount, DocFreq, LongsSize, FieldNumber, DocCount --> VInt (WriteVInt32(int))
• NumTerms, SumTotalTermFreq, SumDocFreq, StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipStart, TotalTermFreq, LongDelta,--> VLong (WriteVInt64(long))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• The format of PostingsHeader and MetaBytes are customized by the specific postings implementation: they contain arbitrary per-file data (such as parameters or versioning information), and per-term data (non-monotonic ones like pulsed postings data).
• During initialization the reader will load all the blocks into memory. SkipBlock will be decoded, so that during seek term dict can lookup file pointers directly. StatsFPDelta, MetaLongsSkipFPDelta, etc. are file offset for every SkipInterval's term. MetaLongsSkipDelta is the difference from previous one, which indicates the value of preceding metadata longs for every SkipInterval's term.
• DocFreq is the count of documents which contain the term. TotalTermFreq is the total number of occurrences of the term. Usually these two values are the same for long tail terms, therefore one bit is stole from DocFreq to check this case, so that encoding of TotalTermFreq may be omitted.

Note

This API is experimental and might change in incompatible ways in the next release.

Declaration

public const int SKIP_INTERVAL = 8

Field Value

Type	Description
int

TERMS_VERSION_CHECKSUM

FST-based term dict, using ord as FST output.

The FST holds the mapping between <term, ord>, and term's metadata is delta encoded into a single byte block.

Typically the byte block consists of four parts:

1. term statistics: docFreq, totalTermFreq;
2. monotonic long[], e.g. the pointer to the postings list for that term;
3. generic byte[], e.g. other information customized by postings base.
4. single-level skip list to speed up metadata decoding by ord.

Files:

• .tix: Term Index
• .tbk: Term Block

Term Index

The .tix contains a list of FSTs, one for each field. The FST maps a term to its corresponding order in current field.

• TermIndex(.tix) --> Header, TermFST^NumFields, Footer
• TermFST --> Lucene.Net.Util.Fst.FST<T>
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• Since terms are already sorted before writing to Term Block, their ords can directly used to seek term metadata from term block.

Term Block

The .tbk contains all the statistics and metadata for terms, along with field summary (e.g. per-field data like number of documents in current field). For each field, there are four blocks:

• statistics bytes block: contains term statistics;
• metadata longs block: delta-encodes monotonic part of metadata;
• metadata bytes block: encodes other parts of metadata;
• skip block: contains skip data, to speed up metadata seeking and decoding

File Format:

• TermBlock(.tbk) --> Header, PostingsHeader, FieldSummary, DirOffset
• FieldSummary --> NumFields, <FieldNumber, NumTerms, SumTotalTermFreq?, SumDocFreq, DocCount, LongsSize, DataBlock > ^NumFields, Footer
• DataBlock --> StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, SkipBlock, StatsBlock, MetaLongsBlock, MetaBytesBlock
• SkipBlock --> < StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipDelta^LongsSize >^NumTerms
• StatsBlock --> < DocFreq[Same?], (TotalTermFreq-DocFreq) ? > ^NumTerms
• MetaLongsBlock --> < LongDelta^LongsSize, BytesSize > ^NumTerms
• MetaBytesBlock --> Byte ^{MetaBytesBlockLength}
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• DirOffset --> Uint64 (WriteInt64(long))
• NumFields, FieldNumber, DocCount, DocFreq, LongsSize, FieldNumber, DocCount --> VInt (WriteVInt32(int))
• NumTerms, SumTotalTermFreq, SumDocFreq, StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipStart, TotalTermFreq, LongDelta,--> VLong (WriteVInt64(long))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• The format of PostingsHeader and MetaBytes are customized by the specific postings implementation: they contain arbitrary per-file data (such as parameters or versioning information), and per-term data (non-monotonic ones like pulsed postings data).
• During initialization the reader will load all the blocks into memory. SkipBlock will be decoded, so that during seek term dict can lookup file pointers directly. StatsFPDelta, MetaLongsSkipFPDelta, etc. are file offset for every SkipInterval's term. MetaLongsSkipDelta is the difference from previous one, which indicates the value of preceding metadata longs for every SkipInterval's term.
• DocFreq is the count of documents which contain the term. TotalTermFreq is the total number of occurrences of the term. Usually these two values are the same for long tail terms, therefore one bit is stole from DocFreq to check this case, so that encoding of TotalTermFreq may be omitted.

Note

This API is experimental and might change in incompatible ways in the next release.

Declaration

public const int TERMS_VERSION_CHECKSUM = 1

Field Value

Type	Description
int

TERMS_VERSION_CURRENT

FST-based term dict, using ord as FST output.

The FST holds the mapping between <term, ord>, and term's metadata is delta encoded into a single byte block.

Typically the byte block consists of four parts:

1. term statistics: docFreq, totalTermFreq;
2. monotonic long[], e.g. the pointer to the postings list for that term;
3. generic byte[], e.g. other information customized by postings base.
4. single-level skip list to speed up metadata decoding by ord.

Files:

• .tix: Term Index
• .tbk: Term Block

Term Index

The .tix contains a list of FSTs, one for each field. The FST maps a term to its corresponding order in current field.

• TermIndex(.tix) --> Header, TermFST^NumFields, Footer
• TermFST --> Lucene.Net.Util.Fst.FST<T>
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• Since terms are already sorted before writing to Term Block, their ords can directly used to seek term metadata from term block.

Term Block

The .tbk contains all the statistics and metadata for terms, along with field summary (e.g. per-field data like number of documents in current field). For each field, there are four blocks:

• statistics bytes block: contains term statistics;
• metadata longs block: delta-encodes monotonic part of metadata;
• metadata bytes block: encodes other parts of metadata;
• skip block: contains skip data, to speed up metadata seeking and decoding

File Format:

• TermBlock(.tbk) --> Header, PostingsHeader, FieldSummary, DirOffset
• FieldSummary --> NumFields, <FieldNumber, NumTerms, SumTotalTermFreq?, SumDocFreq, DocCount, LongsSize, DataBlock > ^NumFields, Footer
• DataBlock --> StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, SkipBlock, StatsBlock, MetaLongsBlock, MetaBytesBlock
• SkipBlock --> < StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipDelta^LongsSize >^NumTerms
• StatsBlock --> < DocFreq[Same?], (TotalTermFreq-DocFreq) ? > ^NumTerms
• MetaLongsBlock --> < LongDelta^LongsSize, BytesSize > ^NumTerms
• MetaBytesBlock --> Byte ^{MetaBytesBlockLength}
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• DirOffset --> Uint64 (WriteInt64(long))
• NumFields, FieldNumber, DocCount, DocFreq, LongsSize, FieldNumber, DocCount --> VInt (WriteVInt32(int))
• NumTerms, SumTotalTermFreq, SumDocFreq, StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipStart, TotalTermFreq, LongDelta,--> VLong (WriteVInt64(long))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• The format of PostingsHeader and MetaBytes are customized by the specific postings implementation: they contain arbitrary per-file data (such as parameters or versioning information), and per-term data (non-monotonic ones like pulsed postings data).
• During initialization the reader will load all the blocks into memory. SkipBlock will be decoded, so that during seek term dict can lookup file pointers directly. StatsFPDelta, MetaLongsSkipFPDelta, etc. are file offset for every SkipInterval's term. MetaLongsSkipDelta is the difference from previous one, which indicates the value of preceding metadata longs for every SkipInterval's term.
• DocFreq is the count of documents which contain the term. TotalTermFreq is the total number of occurrences of the term. Usually these two values are the same for long tail terms, therefore one bit is stole from DocFreq to check this case, so that encoding of TotalTermFreq may be omitted.

Note

This API is experimental and might change in incompatible ways in the next release.

Declaration

public const int TERMS_VERSION_CURRENT = 1

Field Value

Type	Description
int

TERMS_VERSION_START

FST-based term dict, using ord as FST output.

The FST holds the mapping between <term, ord>, and term's metadata is delta encoded into a single byte block.

Typically the byte block consists of four parts:

1. term statistics: docFreq, totalTermFreq;
2. monotonic long[], e.g. the pointer to the postings list for that term;
3. generic byte[], e.g. other information customized by postings base.
4. single-level skip list to speed up metadata decoding by ord.

Files:

• .tix: Term Index
• .tbk: Term Block

Term Index

The .tix contains a list of FSTs, one for each field. The FST maps a term to its corresponding order in current field.

• TermIndex(.tix) --> Header, TermFST^NumFields, Footer
• TermFST --> Lucene.Net.Util.Fst.FST<T>
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• Since terms are already sorted before writing to Term Block, their ords can directly used to seek term metadata from term block.

Term Block

The .tbk contains all the statistics and metadata for terms, along with field summary (e.g. per-field data like number of documents in current field). For each field, there are four blocks:

• statistics bytes block: contains term statistics;
• metadata longs block: delta-encodes monotonic part of metadata;
• metadata bytes block: encodes other parts of metadata;
• skip block: contains skip data, to speed up metadata seeking and decoding

File Format:

• TermBlock(.tbk) --> Header, PostingsHeader, FieldSummary, DirOffset
• FieldSummary --> NumFields, <FieldNumber, NumTerms, SumTotalTermFreq?, SumDocFreq, DocCount, LongsSize, DataBlock > ^NumFields, Footer
• DataBlock --> StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, SkipBlock, StatsBlock, MetaLongsBlock, MetaBytesBlock
• SkipBlock --> < StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipDelta^LongsSize >^NumTerms
• StatsBlock --> < DocFreq[Same?], (TotalTermFreq-DocFreq) ? > ^NumTerms
• MetaLongsBlock --> < LongDelta^LongsSize, BytesSize > ^NumTerms
• MetaBytesBlock --> Byte ^{MetaBytesBlockLength}
• Header --> CodecHeader (WriteHeader(DataOutput, string, int))
• DirOffset --> Uint64 (WriteInt64(long))
• NumFields, FieldNumber, DocCount, DocFreq, LongsSize, FieldNumber, DocCount --> VInt (WriteVInt32(int))
• NumTerms, SumTotalTermFreq, SumDocFreq, StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipStart, TotalTermFreq, LongDelta,--> VLong (WriteVInt64(long))
• Footer --> CodecFooter (Lucene.Net.Codecs.CodecUtil.WriteFooter(Lucene.Net.Store.IndexOutput))

Notes:

• The format of PostingsHeader and MetaBytes are customized by the specific postings implementation: they contain arbitrary per-file data (such as parameters or versioning information), and per-term data (non-monotonic ones like pulsed postings data).
• During initialization the reader will load all the blocks into memory. SkipBlock will be decoded, so that during seek term dict can lookup file pointers directly. StatsFPDelta, MetaLongsSkipFPDelta, etc. are file offset for every SkipInterval's term. MetaLongsSkipDelta is the difference from previous one, which indicates the value of preceding metadata longs for every SkipInterval's term.
• DocFreq is the count of documents which contain the term. TotalTermFreq is the total number of occurrences of the term. Usually these two values are the same for long tail terms, therefore one bit is stole from DocFreq to check this case, so that encoding of TotalTermFreq may be omitted.

Note

This API is experimental and might change in incompatible ways in the next release.

Declaration

public const int TERMS_VERSION_START = 0

Field Value

Type	Description
int

Methods

AddField(FieldInfo)

Add a new field.

Declaration

public override TermsConsumer AddField(FieldInfo field)

Parameters

Type	Name	Description
FieldInfo	field

Returns

Type	Description
TermsConsumer

Overrides

Lucene.Net.Codecs.FieldsConsumer.AddField(Lucene.Net.Index.FieldInfo)

Dispose(bool)

Implementations must override and should dispose all resources used by this instance.

Declaration

protected override void Dispose(bool disposing)

Parameters

Type	Name	Description
bool	disposing

Overrides

FieldsConsumer.Dispose(bool)

Implements

IDisposable