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https://github.com/meilisearch/MeiliSearch
synced 2024-12-23 21:20:24 +01:00
Use the cache when retrieving the documents at the end
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1628a31efa
commit
8148210860
@ -119,32 +119,29 @@ impl Node {
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}
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}
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pub struct BestProximity<F> {
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pub struct BestProximity {
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positions: Vec<Vec<u32>>,
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best_proximity: u32,
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contains_documents: F,
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}
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impl<F> BestProximity<F> {
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pub fn new(positions: Vec<Vec<u32>>, contains_documents: F) -> BestProximity<F> {
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impl BestProximity {
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pub fn new(positions: Vec<Vec<u32>>) -> BestProximity {
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let best_proximity = (positions.len() as u32).saturating_sub(1);
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BestProximity { positions, best_proximity, contains_documents }
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BestProximity { positions, best_proximity }
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}
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}
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impl<F> Iterator for BestProximity<F>
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where F: FnMut((usize, u32), (usize, u32)) -> bool,
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{
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type Item = (u32, Vec<Vec<u32>>);
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fn next(&mut self) -> Option<Self::Item> {
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impl BestProximity {
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pub fn next<F>(&mut self, mut contains_documents: F) -> Option<(u32, Vec<Vec<u32>>)>
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where F: FnMut((usize, u32), (usize, u32)) -> bool,
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{
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let before = Instant::now();
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if self.best_proximity == self.positions.len() as u32 * (MAX_DISTANCE - 1) {
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return None;
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}
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let BestProximity { positions, best_proximity, contains_documents } = self;
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let BestProximity { positions, best_proximity } = self;
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let result = astar_bag(
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&Node::Uninit, // start
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@ -152,7 +149,7 @@ where F: FnMut((usize, u32), (usize, u32)) -> bool,
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|_| 0, // heuristic
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|n| { // success
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let c = n.is_complete(&positions) && n.proximity() >= *best_proximity;
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if n.is_reachable(contains_documents) { Some(c) } else { None }
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if n.is_reachable(&mut contains_documents) { Some(c) } else { None }
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},
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);
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@ -186,16 +183,17 @@ mod tests {
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vec![ 1, ],
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vec![ 3, 6],
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];
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let mut iter = BestProximity::new(positions, |_, _| true);
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let mut iter = BestProximity::new(positions);
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let f = |_, _| true;
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assert_eq!(iter.next(), Some((1+2, vec![vec![0, 1, 3]]))); // 3
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assert_eq!(iter.next(), Some((2+2, vec![vec![2, 1, 3]]))); // 4
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assert_eq!(iter.next(), Some((3+2, vec![vec![3, 1, 3]]))); // 5
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assert_eq!(iter.next(), Some((1+5, vec![vec![0, 1, 6], vec![4, 1, 3]]))); // 6
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assert_eq!(iter.next(), Some((2+5, vec![vec![2, 1, 6]]))); // 7
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assert_eq!(iter.next(), Some((3+5, vec![vec![3, 1, 6]]))); // 8
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assert_eq!(iter.next(), Some((4+5, vec![vec![4, 1, 6]]))); // 9
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assert_eq!(iter.next(), None);
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assert_eq!(iter.next(f), Some((1+2, vec![vec![0, 1, 3]]))); // 3
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assert_eq!(iter.next(f), Some((2+2, vec![vec![2, 1, 3]]))); // 4
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assert_eq!(iter.next(f), Some((3+2, vec![vec![3, 1, 3]]))); // 5
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assert_eq!(iter.next(f), Some((1+5, vec![vec![0, 1, 6], vec![4, 1, 3]]))); // 6
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assert_eq!(iter.next(f), Some((2+5, vec![vec![2, 1, 6]]))); // 7
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assert_eq!(iter.next(f), Some((3+5, vec![vec![3, 1, 6]]))); // 8
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assert_eq!(iter.next(f), Some((4+5, vec![vec![4, 1, 6]]))); // 9
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assert_eq!(iter.next(f), None);
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}
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#[test]
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@ -205,12 +203,13 @@ mod tests {
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vec![ 1, 1000, 2001 ],
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vec![ 3, 6, 2002, 3000],
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];
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let mut iter = BestProximity::new(positions, |_, _| true);
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let mut iter = BestProximity::new(positions);
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let f = |_, _| true;
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assert_eq!(iter.next(), Some((1+1, vec![vec![2000, 2001, 2002]]))); // 2
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assert_eq!(iter.next(), Some((1+2, vec![vec![0, 1, 3]]))); // 3
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assert_eq!(iter.next(), Some((2+2, vec![vec![2, 1, 3]]))); // 4
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assert_eq!(iter.next(), Some((1+5, vec![vec![0, 1, 6]]))); // 6
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assert_eq!(iter.next(f), Some((1+1, vec![vec![2000, 2001, 2002]]))); // 2
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assert_eq!(iter.next(f), Some((1+2, vec![vec![0, 1, 3]]))); // 3
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assert_eq!(iter.next(f), Some((2+2, vec![vec![2, 1, 3]]))); // 4
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assert_eq!(iter.next(f), Some((1+5, vec![vec![0, 1, 6]]))); // 6
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// We ignore others here...
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}
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31
src/lib.rs
31
src/lib.rs
@ -143,7 +143,7 @@ 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 contains_documents = |(lword, lpos): (usize, u32), (rword, rpos): (usize, u32)| {
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let mut contains_documents = |(lword, lpos), (rword, rpos), union_cache: &mut HashMap<_, _>| {
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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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@ -162,7 +162,8 @@ impl Index {
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})
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};
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for (proximity, mut positions) in BestProximity::new(positions, contains_documents) {
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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)) {
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positions.sort_unstable();
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let same_prox_before = Instant::now();
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@ -172,34 +173,18 @@ impl Index {
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let before = Instant::now();
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let mut intersect_docids: Option<RoaringBitmap> = None;
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for (derived_words, pos) in words.iter().zip(positions.clone()) {
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let mut count = 0;
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let mut union_docids = RoaringBitmap::default();
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for (word, pos) in positions.iter().enumerate() {
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let before = Instant::now();
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// TODO re-enable the prefixes system
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for (word, attrs) in derived_words.iter() {
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if attrs.contains(pos) {
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let mut key = word.clone();
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key.extend_from_slice(&pos.to_be_bytes());
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if let Some(attrs) = self.postings_ids.get(rtxn, &key)? {
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let right = RoaringBitmap::deserialize_from_slice(attrs)?;
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union_docids.union_with(&right);
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count += 1;
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}
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}
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}
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let union_docids = union_cache.entry((word, *pos)).or_insert_with(|| unions_word_pos(word, *pos));
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let before_intersect = Instant::now();
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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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None => intersect_docids = Some(union_docids.clone()),
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}
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eprintln!("retrieving {} word took {:.02?} and took {:.02?} to intersect",
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count, before.elapsed(), before_intersect.elapsed());
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eprintln!("retrieving words took {:.02?} and took {:.02?} to intersect",
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before.elapsed(), before_intersect.elapsed());
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}
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eprintln!("for proximity {:?} {:?} we took {:.02?} to find {} documents",
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