Comments (2)
Having a different tokenizer for the fast-field is a good idea, but I would make it configurable and not fix it to raw. There also may be scenarios, where dictionary duplication is wasteful.
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@PSeitz I think we should not care about dictionary duplication here. Configurable tokenizer is ok for me. It really don't believe in actual tokenization (as in splitting the string into tokens) but it might be useful for normalization maybe?
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Related Issues (20)
- Panic occured while committing writer with sort by text field. HOT 6
- Index encryption via Encrypted Directory [reopen]
- Requesting tantivy release to support zstd dependency HOT 9
- Panic on document of death
- MemorySanitizer: use-of-uninitialized-value (probably false positive)
- Top Hits Agg Performance: Delay fetching `get_document_field_data` in top_hits
- top_hits aggregation parameter validation HOT 1
- add `top_metrics` aggregation
- Planned removal of index sorting in 0.23.0 HOT 4
- Regular Expression Queries HOT 1
- Occur - Phrase query with slop HOT 1
- Negative Term HOT 2
- FuzzyTermQuery, PhrasePrefixQuery, PhraseQuery --> Snippets / actual matches
- tantivy vs Lucene benchmark confusion HOT 5
- Questions about the details of how Tantivy manages index files. HOT 2
- Replace PreTokenizedString
- support multiple modes of execution for fastfield range query
- Addition of a migration guide from Lucene to Tantivy HOT 2
- Store DateTime as nanos in docstore HOT 2
- QueryParser raises SyntaxError when combining field prefix with nested searchstring
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