Name | Description |
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BlockTreeTermsReader | A block-based terms index and dictionary that assigns terms to variable length blocks according to how they share prefixes. The terms index is a prefix trie whose leaves are term blocks. The advantage of this approach is that seekExact is often able to determine a term cannot exist without doing any IO, and intersection with Automata is very fast. Note that this terms dictionary has it's own fixed terms index (ie, it does not support a pluggable terms index implementation). NOTE: this terms dictionary does not support index divisor when opening an IndexReader. Instead, you can change the min/maxItemsPerBlock during indexing. The data structure used by this implementation is very similar to a burst trie (http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3499), but with added logic to break up too-large blocks of all terms sharing a given prefix into smaller ones. Use Lucene.Net.Index.CheckIndex with the |
BlockTreeTermsReader.FieldReader | BlockTree's implementation of Terms. |
BlockTreeTermsReader.FieldReader.IntersectEnum | |
BlockTreeTermsReader.FieldReader.IntersectEnum.Frame | |
BlockTreeTermsReader.FieldReader.SegmentTermsEnum | |
BlockTreeTermsReader.FieldReader.SegmentTermsEnum.Frame | |
BlockTreeTermsReader.Stats | BlockTree statistics for a single field returned by FieldReader#computeStats(). |
CodecUtil | Utility class for reading and writing versioned headers. Writing codec headers is useful to ensure that a file is in the format you think it is. @lucene.experimental |
DocValuesConsumer | Abstract API that consumes numeric, binary and sorted docvalues. Concrete implementations of this actually do "something" with the docvalues (write it into the index in a specific format). The lifecycle is:
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DocValuesConsumer.BitsFilteredTermsEnum |