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https://github.com/meilisearch/meilisearch.git
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Compute the candidates but not by attribute
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parent
6b14b20369
commit
576dd011a1
55
src/lib.rs
55
src/lib.rs
@ -156,32 +156,31 @@ impl Index {
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positions.push(union_positions.iter().collect());
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}
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let mut words_attributes_docids = Vec::new();
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// We compute the docids candiate for these words (and derived words).
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// We do a union between all the docids of each of the words and derived words,
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// we got N unions (where N is the number of query words), we then intersect them.
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// TODO we must store the words documents ids to avoid these unions.
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let mut candidates = RoaringBitmap::new();
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let number_of_attributes = self.number_of_attributes(rtxn)?.map_or(0, |n| n as u32);
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for i in 0..number_of_attributes {
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let mut intersect_docids: Option<RoaringBitmap> = None;
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for derived_words in &words {
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let mut union_docids = RoaringBitmap::new();
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for (word, _) in derived_words {
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// generate the key with the attribute number.
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for (i, derived_words) in words.iter().enumerate() {
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let mut union_docids = RoaringBitmap::new();
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for (word, _) in derived_words {
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for attr in 0..number_of_attributes {
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let mut key = word.to_vec();
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key.extend_from_slice(&i.to_be_bytes());
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key.extend_from_slice(&attr.to_be_bytes());
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if let Some(right) = self.word_attribute_docids.get(rtxn, &key)? {
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union_docids.union_with(&right);
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}
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}
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match &mut intersect_docids {
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Some(left) => left.intersect_with(&union_docids),
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None => intersect_docids = Some(union_docids),
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}
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}
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words_attributes_docids.push(intersect_docids);
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if i == 0 {
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candidates = union_docids;
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} else {
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candidates.intersect_with(&union_docids);
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}
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}
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debug!("The documents you must find for each attribute: {:?}", words_attributes_docids);
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debug!("The candidates are {:?}", candidates);
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debug!("Retrieving words positions took {:.02?}", before.elapsed());
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// Returns the union of the same position for all the derived words.
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@ -202,7 +201,7 @@ impl Index {
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let mut union_cache = HashMap::new();
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let mut intersect_cache = HashMap::new();
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// Returns `true` if there is documents in common between the two words and positions given.
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let mut contains_documents = |(lword, lpos), (rword, rpos), union_cache: &mut HashMap<_, _>, words_attributes_docids: &[_]| {
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let mut contains_documents = |(lword, lpos), (rword, rpos), union_cache: &mut HashMap<_, _>, candidates: &RoaringBitmap| {
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let proximity = best_proximity::positions_proximity(lpos, rpos);
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if proximity == 0 { return false }
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@ -217,13 +216,9 @@ impl Index {
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let lunion_docids = union_cache.get(&(lword, lpos)).unwrap();
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let runion_docids = union_cache.get(&(rword, rpos)).unwrap();
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if proximity <= 7 {
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let lattr = lpos / 1000;
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if let Some(docids) = &words_attributes_docids[lattr as usize] {
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if lunion_docids.is_disjoint(&docids) { return false }
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if runion_docids.is_disjoint(&docids) { return false }
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}
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}
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// We first check that the docids of these unions are part of the candidates.
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if lunion_docids.is_disjoint(candidates) { return false }
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if runion_docids.is_disjoint(candidates) { return false }
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!lunion_docids.is_disjoint(&runion_docids)
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})
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@ -231,7 +226,7 @@ impl Index {
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let mut documents = Vec::new();
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let mut iter = BestProximity::new(positions);
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while let Some((proximity, mut positions)) = iter.next(|l, r| contains_documents(l, r, &mut union_cache, &words_attributes_docids)) {
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while let Some((proximity, mut positions)) = iter.next(|l, r| contains_documents(l, r, &mut union_cache, &candidates)) {
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positions.sort_unstable();
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let same_prox_before = Instant::now();
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@ -289,12 +284,8 @@ impl Index {
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}
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}
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// We achieve to find valid documents ids so we remove them from the candidate list.
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for docids in &mut words_attributes_docids {
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if let Some(docids) = docids {
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docids.difference_with(&same_proximity_union);
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}
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}
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// We achieve to find valid documents ids so we remove them from the candidates list.
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candidates.difference_with(&same_proximity_union);
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documents.push(same_proximity_union);
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