Class FSTOrdTermsWriter

  • All Implemented Interfaces:
    java.io.Closeable, java.lang.AutoCloseable

    public class FSTOrdTermsWriter
    extends FieldsConsumer
    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:

    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.

    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, MetaLongsSkipDeltaLongsSize >NumTerms
    • StatsBlock --> < DocFreq[Same?], (TotalTermFreq-DocFreq) ? > NumTerms
    • MetaLongsBlock --> < LongDeltaLongsSize, BytesSize > NumTerms
    • MetaBytesBlock --> Byte MetaBytesBlockLength
    • Header --> IndexHeader
    • DirOffset --> Uint64
    • NumFields, FieldNumber, DocCount, DocFreq, LongsSize, FieldNumber, DocCount --> VInt
    • NumTerms, SumTotalTermFreq, SumDocFreq, StatsBlockLength, MetaLongsBlockLength, MetaBytesBlockLength, StatsFPDelta, MetaLongsSkipFPDelta, MetaBytesSkipFPDelta, MetaLongsSkipStart, TotalTermFreq, LongDelta,--> VLong
    • Footer --> CodecFooter

    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.
    • Method Detail

      • write

        public void write​(Fields fields,
                          NormsProducer norms)
                   throws java.io.IOException
        Description copied from class: FieldsConsumer
        Write all fields, terms and postings. This the "pull" API, allowing you to iterate more than once over the postings, somewhat analogous to using a DOM API to traverse an XML tree.

        Notes:

        • You must compute index statistics, including each Term's docFreq and totalTermFreq, as well as the summary sumTotalTermFreq, sumTotalDocFreq and docCount.
        • You must skip terms that have no docs and fields that have no terms, even though the provided Fields API will expose them; this typically requires lazily writing the field or term until you've actually seen the first term or document.
        • The provided Fields instance is limited: you cannot call any methods that return statistics/counts; you cannot pass a non-null live docs when pulling docs/positions enums.
        Specified by:
        write in class FieldsConsumer
        Throws:
        java.io.IOException
      • close

        public void close()
                   throws java.io.IOException
        Specified by:
        close in interface java.lang.AutoCloseable
        Specified by:
        close in interface java.io.Closeable
        Specified by:
        close in class FieldsConsumer
        Throws:
        java.io.IOException
      • writeTrailer

        private void writeTrailer​(IndexOutput out,
                                  long dirStart)
                           throws java.io.IOException
        Throws:
        java.io.IOException