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https://github.com/meilisearch/MeiliSearch
synced 2025-05-14 08:14:05 +02:00
fix ranking rules after _geo do not work
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a500fa053c
commit
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@ -1,6 +1,4 @@
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use std::collections::VecDeque;
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use std::iter::FromIterator;
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use heed::types::{Bytes, Unit};
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use heed::{RoPrefix, RoTxn};
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use roaring::RoaringBitmap;
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@ -245,7 +243,7 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
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) -> Result<Option<RankingRuleOutput<Q>>> {
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let query = self.query.as_ref().unwrap().clone();
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let geo_candidates = &self.geo_candidates & universe;
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let mut geo_candidates = &self.geo_candidates & universe;
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if geo_candidates.is_empty() {
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return Ok(Some(RankingRuleOutput {
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@ -267,24 +265,79 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
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cache.pop_back()
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}
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};
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while let Some((id, point)) = next(&mut self.cached_sorted_docids) {
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let put_back = |cache: &mut VecDeque<_>, x: _| {
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if ascending {
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cache.push_front(x)
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} else {
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cache.push_back(x)
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}
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};
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let mut current_bucket = RoaringBitmap::new();
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// current_distance stores the first point and distance in current bucket
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// The farthest distance between two points on earth is about 2e7 meters, u32 is big enough to hold any distance.
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let mut current_distance: Option<([f64; 2], u32)> = None;
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loop {
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// The loop will only exit when we have found all points with equal distance or have exhausted the candidates.
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if let Some((id, point)) = next(&mut self.cached_sorted_docids) {
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if geo_candidates.contains(id) {
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let distance = distance_between_two_points(&self.point, &point).round() as u32;
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if let Some((point0, bucket_distance)) = current_distance.as_ref() {
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if bucket_distance != &distance {
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// different distance, point belongs to next bucket
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put_back(&mut self.cached_sorted_docids, (id, point));
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return Ok(Some(RankingRuleOutput {
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query,
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candidates: RoaringBitmap::from_iter([id]),
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candidates: current_bucket,
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score: ScoreDetails::GeoSort(score_details::GeoSort {
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target_point: self.point,
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ascending: self.ascending,
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value: Some(point),
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value: Some(point0.to_owned()),
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}),
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}));
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} else {
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// same distance, point belongs to current bucket
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current_bucket.push(id);
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// remove from cadidates to prevent it from being added to the cache again
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geo_candidates.remove(id);
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}
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} else {
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// first doc in current bucket
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current_distance = Some((point, distance));
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current_bucket.push(id);
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geo_candidates.remove(id);
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}
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}
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} else {
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// cache exhausted, we need to refill it
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self.fill_buffer(ctx, &geo_candidates)?;
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if self.cached_sorted_docids.is_empty() {
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// candidates exhausted, exit
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if let Some((point0, _)) = current_distance.as_ref() {
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return Ok(Some(RankingRuleOutput {
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query,
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candidates: current_bucket,
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score: ScoreDetails::GeoSort(score_details::GeoSort {
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target_point: self.point,
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ascending: self.ascending,
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value: Some(point0.to_owned()),
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}),
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}));
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} else {
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return Ok(Some(RankingRuleOutput {
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query,
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candidates: universe.clone(),
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score: ScoreDetails::GeoSort(score_details::GeoSort {
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target_point: self.point,
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ascending: self.ascending,
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value: None,
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}),
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}));
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}
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}
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// if we got out of this loop it means we've exhausted our cache.
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// we need to refill it and run the function again.
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self.fill_buffer(ctx, &geo_candidates)?;
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self.next_bucket(ctx, logger, universe)
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}
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}
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}
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#[tracing::instrument(level = "trace", skip_all, target = "search::geo_sort")]
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