mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-22 21:04:27 +01:00
Avoid creating a MatchingWord for words that exceed the length limit
This commit is contained in:
parent
86c34a996b
commit
8d0ace2d64
@ -70,6 +70,21 @@ pub type SmallVec8<T> = smallvec::SmallVec<[T; 8]>;
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/// expressed in term of latitude and longitude.
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pub type GeoPoint = rstar::primitives::GeomWithData<[f64; 3], (DocumentId, [f64; 2])>;
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/// The maximum length a LMDB key can be.
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///
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/// Note that the actual allowed length is a little bit higher, but
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/// we keep a margin of safety.
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const MAX_LMDB_KEY_LENGTH: usize = 500;
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/// The maximum length a field value can be when inserted in an LMDB key.
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///
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/// This number is determined by the keys of the different facet databases
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/// and adding a margin of safety.
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pub const MAX_FACET_VALUE_LENGTH: usize = MAX_LMDB_KEY_LENGTH - 20;
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/// The maximum length a word can be
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pub const MAX_WORD_LENGTH: usize = MAX_LMDB_KEY_LENGTH / 2;
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pub const MAX_POSITION_PER_ATTRIBUTE: u32 = u16::MAX as u32 + 1;
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// Convert an absolute word position into a relative position.
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@ -8,6 +8,7 @@ use charabia::Token;
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use levenshtein_automata::{Distance, DFA};
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use crate::search::build_dfa;
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use crate::MAX_WORD_LENGTH;
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type IsPrefix = bool;
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@ -18,6 +19,17 @@ pub struct MatchingWords {
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inner: Vec<(Vec<Rc<MatchingWord>>, Vec<PrimitiveWordId>)>,
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}
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impl fmt::Debug for MatchingWords {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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writeln!(f, "[")?;
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for (matching_words, primitive_word_id) in self.inner.iter() {
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writeln!(f, "({matching_words:?}, {primitive_word_id:?})")?;
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}
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writeln!(f, "]")?;
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Ok(())
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}
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}
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impl MatchingWords {
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pub fn new(mut matching_words: Vec<(Vec<Rc<MatchingWord>>, Vec<PrimitiveWordId>)>) -> Self {
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// Sort word by len in DESC order prioritizing the longuest matches,
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@ -93,10 +105,13 @@ impl PartialEq for MatchingWord {
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}
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impl MatchingWord {
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pub fn new(word: String, typo: u8, prefix: IsPrefix) -> Self {
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pub fn new(word: String, typo: u8, prefix: IsPrefix) -> Option<Self> {
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if word.len() > MAX_WORD_LENGTH {
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return None;
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}
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let dfa = build_dfa(&word, typo, prefix);
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Self { dfa, word, typo, prefix }
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Some(Self { dfa, word, typo, prefix })
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}
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/// Returns the lenght in chars of the match in case of the token matches the term.
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@ -335,9 +350,9 @@ mod tests {
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#[test]
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fn matching_words() {
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let all = vec![
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Rc::new(MatchingWord::new("split".to_string(), 1, true)),
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Rc::new(MatchingWord::new("this".to_string(), 0, false)),
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Rc::new(MatchingWord::new("world".to_string(), 1, true)),
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Rc::new(MatchingWord::new("split".to_string(), 1, true).unwrap()),
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Rc::new(MatchingWord::new("this".to_string(), 0, false).unwrap()),
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Rc::new(MatchingWord::new("world".to_string(), 1, true).unwrap()),
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];
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let matching_words = vec![
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(vec![all[0].clone()], vec![0]),
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@ -503,9 +503,9 @@ mod tests {
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fn matching_words() -> MatchingWords {
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let all = vec![
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Rc::new(MatchingWord::new("split".to_string(), 0, false)),
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Rc::new(MatchingWord::new("the".to_string(), 0, false)),
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Rc::new(MatchingWord::new("world".to_string(), 1, true)),
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Rc::new(MatchingWord::new("split".to_string(), 0, false).unwrap()),
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Rc::new(MatchingWord::new("the".to_string(), 0, false).unwrap()),
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Rc::new(MatchingWord::new("world".to_string(), 1, true).unwrap()),
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];
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let matching_words = vec![
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(vec![all[0].clone()], vec![0]),
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@ -595,8 +595,8 @@ mod tests {
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#[test]
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fn highlight_unicode() {
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let all = vec![
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Rc::new(MatchingWord::new("wessfali".to_string(), 1, true)),
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Rc::new(MatchingWord::new("world".to_string(), 1, true)),
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Rc::new(MatchingWord::new("wessfali".to_string(), 1, true).unwrap()),
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Rc::new(MatchingWord::new("world".to_string(), 1, true).unwrap()),
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];
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let matching_words = vec![(vec![all[0].clone()], vec![0]), (vec![all[1].clone()], vec![1])];
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@ -832,12 +832,12 @@ mod tests {
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#[test]
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fn partial_matches() {
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let all = vec![
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Rc::new(MatchingWord::new("the".to_string(), 0, false)),
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Rc::new(MatchingWord::new("t".to_string(), 0, false)),
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Rc::new(MatchingWord::new("he".to_string(), 0, false)),
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Rc::new(MatchingWord::new("door".to_string(), 0, false)),
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Rc::new(MatchingWord::new("do".to_string(), 0, false)),
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Rc::new(MatchingWord::new("or".to_string(), 0, false)),
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Rc::new(MatchingWord::new("the".to_string(), 0, false).unwrap()),
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Rc::new(MatchingWord::new("t".to_string(), 0, false).unwrap()),
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Rc::new(MatchingWord::new("he".to_string(), 0, false).unwrap()),
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Rc::new(MatchingWord::new("door".to_string(), 0, false).unwrap()),
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Rc::new(MatchingWord::new("do".to_string(), 0, false).unwrap()),
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Rc::new(MatchingWord::new("or".to_string(), 0, false).unwrap()),
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];
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let matching_words = vec![
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(vec![all[0].clone()], vec![0]),
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@ -550,21 +550,20 @@ struct MatchingWordCache {
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map: HashMap<(String, u8, bool), Rc<MatchingWord>>,
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}
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impl MatchingWordCache {
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fn insert(&mut self, word: String, typo: u8, prefix: bool) -> Rc<MatchingWord> {
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// Toggle the (un)commented code to switch between cached and non-cached
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// implementations.
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// self.all.push(MatchingWord::new(word, typo, prefix));
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// self.all.len() - 1
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fn insert(&mut self, word: String, typo: u8, prefix: bool) -> Option<Rc<MatchingWord>> {
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match self.map.entry((word.clone(), typo, prefix)) {
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Entry::Occupied(idx) => idx.get().clone(),
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Entry::Occupied(idx) => Some(idx.get().clone()),
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Entry::Vacant(vacant) => {
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let matching_word = Rc::new(MatchingWord::new(word, typo, prefix));
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let matching_word = Rc::new(MatchingWord::new(word, typo, prefix)?);
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self.all.push(matching_word.clone());
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vacant.insert(matching_word.clone());
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matching_word
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Some(matching_word)
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}
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}
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// To deactivate the cache, for testing purposes, use the following instead:
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// let matching_word = Rc::new(MatchingWord::new(word, typo, prefix)?);
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// self.all.push(matching_word.clone());
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// Some(matching_word)
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}
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}
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@ -591,16 +590,19 @@ fn create_matching_words(
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for synonym in synonyms {
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let synonym = synonym
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.into_iter()
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.map(|syn| matching_word_cache.insert(syn, 0, false))
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.flat_map(|syn| matching_word_cache.insert(syn, 0, false))
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.collect();
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matching_words.push((synonym, vec![id]));
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}
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}
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if let Some((left, right)) = split_best_frequency(ctx, &word)? {
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let left = matching_word_cache.insert(left.to_string(), 0, false);
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let right = matching_word_cache.insert(right.to_string(), 0, false);
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matching_words.push((vec![left, right], vec![id]));
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if let Some(left) = matching_word_cache.insert(left.to_string(), 0, false) {
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if let Some(right) = matching_word_cache.insert(right.to_string(), 0, false)
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{
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matching_words.push((vec![left, right], vec![id]));
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}
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}
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}
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let (word_len_one_typo, word_len_two_typo) = ctx.min_word_len_for_typo()?;
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@ -614,7 +616,9 @@ fn create_matching_words(
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matching_word_cache.insert(word, typo, prefix)
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}
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};
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matching_words.push((vec![matching_word], vec![id]));
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if let Some(matching_word) = matching_word {
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matching_words.push((vec![matching_word], vec![id]));
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}
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}
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// create a CONSECUTIVE matchings words wrapping all word in the phrase
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PrimitiveQueryPart::Phrase(words) => {
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@ -623,7 +627,7 @@ fn create_matching_words(
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let words = words
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.into_iter()
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.flatten()
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.map(|w| matching_word_cache.insert(w, 0, false))
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.flat_map(|w| matching_word_cache.insert(w, 0, false))
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.collect();
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matching_words.push((words, ids));
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}
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@ -681,7 +685,7 @@ fn create_matching_words(
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for synonym in synonyms {
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let synonym = synonym
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.into_iter()
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.map(|syn| matching_word_cache.insert(syn, 0, false))
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.flat_map(|syn| matching_word_cache.insert(syn, 0, false))
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.collect();
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matching_words.push((synonym, ids.clone()));
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}
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@ -704,7 +708,9 @@ fn create_matching_words(
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matching_word_cache.insert(word, typo, is_prefix)
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}
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};
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matching_words.push((vec![matching_word], ids));
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if let Some(matching_word) = matching_word {
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matching_words.push((vec![matching_word], ids));
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}
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}
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}
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@ -1341,6 +1347,27 @@ mod test {
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);
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}
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#[test]
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fn test_dont_create_matching_word_for_long_words() {
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let index = TempIndex::new();
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let rtxn = index.read_txn().unwrap();
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let query = "what a supercalifragilisticexpialidocioussupercalifragilisticexpialidocioussupercalifragilisticexpialidocioussupercalifragilisticexpialidocioussupercalifragilisticexpialidocioussupercalifragilisticexpialidocioussupercalifragilisticexpialidocioussupercalifragilisticexpialidocious house";
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let mut builder = QueryTreeBuilder::new(&rtxn, &index).unwrap();
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builder.words_limit(10);
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let (_, _, matching_words) = builder.build(query.tokenize()).unwrap().unwrap();
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insta::assert_snapshot!(format!("{matching_words:?}"), @r###"
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[
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([MatchingWord { word: "house", typo: 1, prefix: true }], [3])
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([MatchingWord { word: "house", typo: 1, prefix: true }], [2])
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([MatchingWord { word: "whata", typo: 1, prefix: false }], [0, 1])
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([MatchingWord { word: "house", typo: 1, prefix: true }], [2])
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([MatchingWord { word: "house", typo: 1, prefix: true }], [1])
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([MatchingWord { word: "what", typo: 0, prefix: false }], [0])
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([MatchingWord { word: "a", typo: 0, prefix: false }], [1])
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]
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"###);
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}
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#[test]
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fn disable_typo_on_word() {
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let query = "goodbye";
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@ -1380,9 +1407,8 @@ mod test {
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}
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}
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// This test must be run
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#[test]
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fn ten_words() {
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fn memory_usage_of_ten_word_query() {
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let resident_before = ALLOC.resident.load(atomic::Ordering::SeqCst);
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let allocated_before = ALLOC.allocated.load(atomic::Ordering::SeqCst);
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@ -1395,12 +1421,20 @@ mod test {
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let resident_after = ALLOC.resident.load(atomic::Ordering::SeqCst);
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let allocated_after = ALLOC.allocated.load(atomic::Ordering::SeqCst);
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insta::assert_snapshot!(format!("{}", resident_after - resident_before), @"4521710");
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insta::assert_snapshot!(format!("{}", allocated_after - allocated_before), @"7259092");
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// Weak check on the memory usage
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// Don't keep more than 5MB. (Arguably 5MB is already too high)
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assert!(resident_after - resident_before < 5_000_000);
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// Don't allocate more than 10MB.
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assert!(allocated_after - allocated_before < 10_000_000);
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// Note, if the matching word cache is deactivated, the memory usage is:
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// insta::assert_snapshot!(format!("{}", resident_after - resident_before), @"91311265");
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// insta::assert_snapshot!(format!("{}", allocated_after - allocated_before), @"125948410");
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// Use these snapshots to measure the exact memory usage.
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// The values below were correct at the time I wrote them.
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// insta::assert_snapshot!(format!("{}", resident_after - resident_before), @"4486950");
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// insta::assert_snapshot!(format!("{}", allocated_after - allocated_before), @"7107502");
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// Note, with the matching word cache deactivated, the memory usage was:
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// insta::assert_snapshot!(format!("{}", resident_after - resident_before), @"91248697");
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// insta::assert_snapshot!(format!("{}", allocated_after - allocated_before), @"125697588");
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// or about 20x more resident memory (90MB vs 4.5MB)
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// Use x
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@ -7,11 +7,11 @@ use charabia::{SeparatorKind, Token, TokenKind, TokenizerBuilder};
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use roaring::RoaringBitmap;
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use serde_json::Value;
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use super::helpers::{
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concat_u32s_array, create_sorter, sorter_into_reader, GrenadParameters, MAX_WORD_LENGTH,
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};
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use super::helpers::{concat_u32s_array, create_sorter, sorter_into_reader, GrenadParameters};
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use crate::error::{InternalError, SerializationError};
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use crate::{absolute_from_relative_position, FieldId, Result, MAX_POSITION_PER_ATTRIBUTE};
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use crate::{
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absolute_from_relative_position, FieldId, Result, MAX_POSITION_PER_ATTRIBUTE, MAX_WORD_LENGTH,
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};
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/// Extracts the word and positions where this word appear and
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/// prefixes it by the document id.
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@ -6,9 +6,8 @@ use heed::BytesEncode;
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use super::helpers::{create_sorter, sorter_into_reader, try_split_array_at, GrenadParameters};
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use crate::heed_codec::facet::{FacetGroupKey, FacetGroupKeyCodec};
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use crate::heed_codec::StrRefCodec;
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use crate::update::index_documents::helpers::MAX_FACET_VALUE_LENGTH;
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use crate::update::index_documents::merge_cbo_roaring_bitmaps;
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use crate::{FieldId, Result};
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use crate::{FieldId, Result, MAX_FACET_VALUE_LENGTH};
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/// Extracts the facet string and the documents ids where this facet string appear.
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///
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@ -12,9 +12,8 @@ use serde_json::Value;
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use super::helpers::{create_sorter, keep_first, sorter_into_reader, GrenadParameters};
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use crate::error::InternalError;
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use crate::facet::value_encoding::f64_into_bytes;
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use crate::update::index_documents::helpers::MAX_FACET_VALUE_LENGTH;
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use crate::update::index_documents::{create_writer, writer_into_reader};
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use crate::{CboRoaringBitmapCodec, DocumentId, FieldId, Result, BEU32};
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use crate::{CboRoaringBitmapCodec, DocumentId, FieldId, Result, BEU32, MAX_FACET_VALUE_LENGTH};
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/// Extracts the facet values of each faceted field of each document.
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///
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@ -18,20 +18,7 @@ pub use merge_functions::{
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serialize_roaring_bitmap, MergeFn,
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};
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/// The maximum length a LMDB key can be.
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///
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/// Note that the actual allowed length is a little bit higher, but
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/// we keep a margin of safety.
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const MAX_LMDB_KEY_LENGTH: usize = 500;
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/// The maximum length a field value can be when inserted in an LMDB key.
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///
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/// This number is determined by the keys of the different facet databases
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/// and adding a margin of safety.
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pub const MAX_FACET_VALUE_LENGTH: usize = MAX_LMDB_KEY_LENGTH - 20;
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/// The maximum length a word can be
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pub const MAX_WORD_LENGTH: usize = MAX_LMDB_KEY_LENGTH / 2;
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use crate::MAX_WORD_LENGTH;
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pub fn valid_lmdb_key(key: impl AsRef<[u8]>) -> bool {
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key.as_ref().len() <= MAX_WORD_LENGTH * 2 && !key.as_ref().is_empty()
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