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https://github.com/quickwit-oss/tantivy.git
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39 lines
1.4 KiB
Rust
39 lines
1.4 KiB
Rust
//! The term dictionary main role is to associate the sorted [`Term`s](crate::Term) to
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//! a [`TermInfo`](crate::postings::TermInfo) struct that contains some meta-information
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//! about the term.
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//!
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//! Internally, the term dictionary relies on the `fst` crate to store
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//! a sorted mapping that associate each term to its rank in the lexicographical order.
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//! For instance, in a dictionary containing the sorted terms "abba", "bjork", "blur" and "donovan",
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//! the [`TermOrdinal`] are respectively `0`, `1`, `2`, and `3`.
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//!
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//! For `u64`-terms, tantivy explicitly uses a `BigEndian` representation to ensure that the
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//! lexicographical order matches the natural order of integers.
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//!
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//! `i64`-terms are transformed to `u64` using a continuous mapping `val ⟶ val - i64::MIN`
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//! and then treated as a `u64`.
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//!
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//! `f64`-terms are transformed to `u64` using a mapping that preserve order, and are then treated
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//! as `u64`.
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//!
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//! A second datastructure makes it possible to access a
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//! [`TermInfo`](crate::postings::TermInfo).
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#[cfg(not(feature = "quickwit"))]
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mod fst_termdict;
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#[cfg(not(feature = "quickwit"))]
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use fst_termdict as termdict;
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#[cfg(feature = "quickwit")]
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mod sstable_termdict;
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#[cfg(feature = "quickwit")]
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use sstable_termdict as termdict;
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#[cfg(test)]
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mod tests;
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/// Position of the term in the sorted list of terms.
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pub type TermOrdinal = u64;
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pub use self::termdict::{TermDictionary, TermDictionaryBuilder, TermMerger, TermStreamer};
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