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https://github.com/meilisearch/MeiliSearch
synced 2024-11-23 05:14:27 +01:00
feat: Order automatons by importance
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parent
ebc95cb8f2
commit
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@ -2,7 +2,7 @@ use std::hash::Hash;
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use std::ops::Range;
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use std::rc::Rc;
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use std::time::Instant;
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use std::{cmp, mem};
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use std::{mem, cmp, cmp::Reverse};
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use fst::{Streamer, IntoStreamer};
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use hashbrown::HashMap;
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@ -24,30 +24,38 @@ use crate::{TmpMatch, Highlight, DocumentId, Store, RawDocument, Document};
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const NGRAMS: usize = 3;
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struct Automaton {
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index: usize,
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ngram: usize,
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query_len: usize,
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is_exact: bool,
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dfa: DFA,
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}
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impl Automaton {
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fn exact(query: &str) -> Automaton {
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fn exact(index: usize, ngram: usize, query: &str) -> Automaton {
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Automaton {
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index,
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ngram,
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query_len: query.len(),
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is_exact: true,
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dfa: build_dfa(query),
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}
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}
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fn prefix_exact(query: &str) -> Automaton {
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fn prefix_exact(index: usize, ngram: usize, query: &str) -> Automaton {
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Automaton {
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index,
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ngram,
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query_len: query.len(),
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is_exact: true,
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dfa: build_prefix_dfa(query),
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}
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}
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fn non_exact(query: &str) -> Automaton {
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fn non_exact(index: usize, ngram: usize, query: &str) -> Automaton {
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Automaton {
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index,
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ngram,
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query_len: query.len(),
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is_exact: false,
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dfa: build_dfa(query),
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@ -82,9 +90,9 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<(Vec<Automato
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let not_prefix_dfa = has_following_word || has_end_whitespace || word.chars().all(is_cjk);
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let automaton = if not_prefix_dfa {
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Automaton::exact(word)
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Automaton::exact(automatons.len(), 1, word)
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} else {
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Automaton::prefix_exact(word)
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Automaton::prefix_exact(automatons.len(), 1, word)
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};
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automatons.push(automaton);
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}
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@ -127,9 +135,9 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<(Vec<Automato
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for synonym in synonyms_words {
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let automaton = if nb_synonym_words == 1 {
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Automaton::exact(synonym)
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Automaton::exact(automatons.len(), n, synonym)
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} else {
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Automaton::non_exact(synonym)
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Automaton::non_exact(automatons.len(), n, synonym)
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};
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automatons.push(automaton);
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}
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@ -145,12 +153,17 @@ fn generate_automatons<S: Store>(query: &str, store: &S) -> Result<(Vec<Automato
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let real_query_index = automatons.len();
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enhancer_builder.declare(query_range.clone(), real_query_index, &[&normalized]);
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let automaton = Automaton::exact(&normalized);
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let automaton = Automaton::exact(automatons.len(), n, &normalized);
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automatons.push(automaton);
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}
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}
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}
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// order automatons, the most important first,
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// we keep the original automatons at the front.
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let original_len = query_words.len();
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automatons[original_len..].sort_unstable_by_key(|a| (Reverse(a.is_exact), Reverse(a.ngram)));
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Ok((automatons, enhancer_builder.build()))
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}
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@ -326,7 +339,7 @@ where S: Store,
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let start = Instant::now();
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while let Some((input, indexed_values)) = stream.next() {
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for iv in indexed_values {
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let Automaton { is_exact, query_len, ref dfa } = automatons[iv.index];
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let Automaton { index, is_exact, query_len, ref dfa, .. } = automatons[iv.index];
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let distance = dfa.eval(input).to_u8();
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let is_exact = is_exact && distance == 0 && input.len() == query_len;
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@ -342,7 +355,7 @@ where S: Store,
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let attribute = searchables.map_or(Some(di.attribute), |r| r.get(di.attribute));
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if let Some(attribute) = attribute {
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let match_ = TmpMatch {
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query_index: iv.index as u32,
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query_index: index as u32,
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distance,
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attribute,
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word_index: di.word_index,
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