mirror of
https://github.com/meilisearch/meilisearch.git
synced 2025-07-31 02:40:01 +00:00
Intern more values
This commit is contained in:
@ -29,7 +29,7 @@ impl Phrase {
|
||||
|
||||
/// A structure storing all the different ways to match
|
||||
/// a term in the user's search query.
|
||||
#[derive(Clone)]
|
||||
#[derive(Clone, PartialEq, Eq, Hash)]
|
||||
pub struct WordDerivations {
|
||||
/// The original word
|
||||
pub original: Interned<String>,
|
||||
@ -59,12 +59,12 @@ impl WordDerivations {
|
||||
/// Return an iterator over all the single words derived from the original word.
|
||||
///
|
||||
/// This excludes synonyms, split words, and words stored in the prefix databases.
|
||||
pub fn all_derivations_except_prefix_db(
|
||||
pub fn all_single_word_derivations_except_prefix_db(
|
||||
&'_ self,
|
||||
) -> impl Iterator<Item = Interned<String>> + Clone + '_ {
|
||||
self.zero_typo.iter().chain(self.one_typo.iter()).chain(self.two_typos.iter()).copied()
|
||||
}
|
||||
fn is_empty(&self) -> bool {
|
||||
pub fn is_empty(&self) -> bool {
|
||||
self.zero_typo.is_empty()
|
||||
&& self.one_typo.is_empty()
|
||||
&& self.two_typos.is_empty()
|
||||
@ -101,10 +101,10 @@ pub fn word_derivations(
|
||||
let prefix = Str::new(word).starts_with();
|
||||
let mut stream = fst.search(prefix).into_stream();
|
||||
|
||||
while let Some(word) = stream.next() {
|
||||
let word = std::str::from_utf8(word)?.to_owned();
|
||||
let word_interned = ctx.word_interner.insert(word);
|
||||
zero_typo.push(word_interned);
|
||||
while let Some(derived_word) = stream.next() {
|
||||
let derived_word = std::str::from_utf8(derived_word)?.to_owned();
|
||||
let derived_word_interned = ctx.word_interner.insert(derived_word);
|
||||
zero_typo.push(derived_word_interned);
|
||||
}
|
||||
} else if fst.contains(word) {
|
||||
zero_typo.push(word_interned);
|
||||
@ -113,17 +113,19 @@ pub fn word_derivations(
|
||||
let dfa = build_dfa(word, 1, is_prefix);
|
||||
let starts = StartsWith(Str::new(get_first(word)));
|
||||
let mut stream = fst.search_with_state(Intersection(starts, &dfa)).into_stream();
|
||||
// TODO: There may be wayyy too many matches (e.g. in the thousands), how to reduce them?
|
||||
|
||||
while let Some((derived_word, state)) = stream.next() {
|
||||
let derived_word = std::str::from_utf8(derived_word)?;
|
||||
|
||||
while let Some((word, state)) = stream.next() {
|
||||
let word = std::str::from_utf8(word)?;
|
||||
let word_interned = ctx.word_interner.insert(word.to_owned());
|
||||
let d = dfa.distance(state.1);
|
||||
let derived_word_interned = ctx.word_interner.insert(derived_word.to_owned());
|
||||
match d.to_u8() {
|
||||
0 => {
|
||||
zero_typo.push(word_interned);
|
||||
zero_typo.push(derived_word_interned);
|
||||
}
|
||||
1 => {
|
||||
one_typo.push(word_interned);
|
||||
one_typo.push(derived_word_interned);
|
||||
}
|
||||
_ => panic!(),
|
||||
}
|
||||
@ -136,27 +138,28 @@ pub fn word_derivations(
|
||||
let automaton = Union(first, &second);
|
||||
|
||||
let mut stream = fst.search_with_state(automaton).into_stream();
|
||||
// TODO: There may be wayyy too many matches (e.g. in the thousands), how to reduce them?
|
||||
|
||||
while let Some((found_word, state)) = stream.next() {
|
||||
let found_word = std::str::from_utf8(found_word)?;
|
||||
let found_word_interned = ctx.word_interner.insert(found_word.to_owned());
|
||||
while let Some((derived_word, state)) = stream.next() {
|
||||
let derived_word = std::str::from_utf8(derived_word)?;
|
||||
let derived_word_interned = ctx.word_interner.insert(derived_word.to_owned());
|
||||
// in the case the typo is on the first letter, we know the number of typo
|
||||
// is two
|
||||
if get_first(found_word) != get_first(word) {
|
||||
two_typos.push(found_word_interned);
|
||||
if get_first(derived_word) != get_first(word) {
|
||||
two_typos.push(derived_word_interned);
|
||||
} else {
|
||||
// Else, we know that it is the second dfa that matched and compute the
|
||||
// correct distance
|
||||
let d = second_dfa.distance((state.1).0);
|
||||
match d.to_u8() {
|
||||
0 => {
|
||||
zero_typo.push(found_word_interned);
|
||||
zero_typo.push(derived_word_interned);
|
||||
}
|
||||
1 => {
|
||||
one_typo.push(found_word_interned);
|
||||
one_typo.push(derived_word_interned);
|
||||
}
|
||||
2 => {
|
||||
two_typos.push(found_word_interned);
|
||||
two_typos.push(derived_word_interned);
|
||||
}
|
||||
_ => panic!(),
|
||||
}
|
||||
@ -223,10 +226,11 @@ fn split_best_frequency(
|
||||
Ok(best.map(|(_, left, right)| (left.to_owned(), right.to_owned())))
|
||||
}
|
||||
|
||||
#[derive(Clone)]
|
||||
#[derive(Clone, PartialEq, Eq, Hash)]
|
||||
pub enum QueryTerm {
|
||||
Phrase { phrase: Interned<Phrase> },
|
||||
Word { derivations: WordDerivations },
|
||||
// TODO: change to `Interned<WordDerivations>`?
|
||||
Word { derivations: Interned<WordDerivations> },
|
||||
}
|
||||
|
||||
impl QueryTerm {
|
||||
@ -234,10 +238,12 @@ impl QueryTerm {
|
||||
pub fn original_single_word<'interner>(
|
||||
&self,
|
||||
word_interner: &'interner Interner<String>,
|
||||
derivations_interner: &'interner Interner<WordDerivations>,
|
||||
) -> Option<&'interner str> {
|
||||
match self {
|
||||
QueryTerm::Phrase { phrase: _ } => None,
|
||||
QueryTerm::Word { derivations } => {
|
||||
let derivations = derivations_interner.get(*derivations);
|
||||
if derivations.is_empty() {
|
||||
None
|
||||
} else {
|
||||
@ -257,12 +263,12 @@ pub struct LocatedQueryTerm {
|
||||
|
||||
impl LocatedQueryTerm {
|
||||
/// Return `true` iff the word derivations within the query term are empty
|
||||
pub fn is_empty(&self) -> bool {
|
||||
match &self.value {
|
||||
pub fn is_empty(&self, interner: &Interner<WordDerivations>) -> bool {
|
||||
match self.value {
|
||||
// TODO: phrases should be greedily computed, so that they can be excluded from
|
||||
// the query graph right from the start?
|
||||
QueryTerm::Phrase { phrase: _ } => false,
|
||||
QueryTerm::Word { derivations, .. } => derivations.is_empty(),
|
||||
QueryTerm::Word { derivations, .. } => interner.get(derivations).is_empty(),
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -336,7 +342,9 @@ pub fn located_query_terms_from_string<'search>(
|
||||
let word = token.lemma();
|
||||
let derivations = word_derivations(ctx, word, nbr_typos(word), false)?;
|
||||
let located_term = LocatedQueryTerm {
|
||||
value: QueryTerm::Word { derivations },
|
||||
value: QueryTerm::Word {
|
||||
derivations: ctx.derivations_interner.insert(derivations),
|
||||
},
|
||||
positions: position..=position,
|
||||
};
|
||||
located_terms.push(located_term);
|
||||
@ -347,7 +355,9 @@ pub fn located_query_terms_from_string<'search>(
|
||||
let word = token.lemma();
|
||||
let derivations = word_derivations(ctx, word, nbr_typos(word), true)?;
|
||||
let located_term = LocatedQueryTerm {
|
||||
value: QueryTerm::Word { derivations },
|
||||
value: QueryTerm::Word {
|
||||
derivations: ctx.derivations_interner.insert(derivations),
|
||||
},
|
||||
positions: position..=position,
|
||||
};
|
||||
located_terms.push(located_term);
|
||||
@ -409,8 +419,8 @@ pub fn ngram2(
|
||||
return None;
|
||||
}
|
||||
match (
|
||||
&x.value.original_single_word(&ctx.word_interner),
|
||||
&y.value.original_single_word(&ctx.word_interner),
|
||||
&x.value.original_single_word(&ctx.word_interner, &ctx.derivations_interner),
|
||||
&y.value.original_single_word(&ctx.word_interner, &ctx.derivations_interner),
|
||||
) {
|
||||
(Some(w1), Some(w2)) => {
|
||||
let term = (
|
||||
@ -436,9 +446,9 @@ pub fn ngram3(
|
||||
return None;
|
||||
}
|
||||
match (
|
||||
&x.value.original_single_word(&ctx.word_interner),
|
||||
&y.value.original_single_word(&ctx.word_interner),
|
||||
&z.value.original_single_word(&ctx.word_interner),
|
||||
&x.value.original_single_word(&ctx.word_interner, &ctx.derivations_interner),
|
||||
&y.value.original_single_word(&ctx.word_interner, &ctx.derivations_interner),
|
||||
&z.value.original_single_word(&ctx.word_interner, &ctx.derivations_interner),
|
||||
) {
|
||||
(Some(w1), Some(w2), Some(w3)) => {
|
||||
let term = (
|
||||
|
Reference in New Issue
Block a user