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https://github.com/meilisearch/meilisearch.git
synced 2024-11-30 09:04:59 +08:00
Apply review suggestions: simplify implementation of exactness criterion
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32c6062e65
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@ -191,7 +191,7 @@ fn resolve_state(
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attribute_start_with_docids(ctx, id, query)?;
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attribute_candidates_array.push(attribute_allowed_docids);
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candidates |= intersection_of(attribute_candidates_array.iter().collect());
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candidates |= MultiOps::intersection(attribute_candidates_array);
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}
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}
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@ -208,7 +208,7 @@ fn resolve_state(
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let attributes_ids = ctx.searchable_fields_ids()?;
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for id in attributes_ids {
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let attribute_candidates_array = attribute_start_with_docids(ctx, id, query)?;
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candidates |= intersection_of(attribute_candidates_array.iter().collect());
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candidates |= MultiOps::intersection(attribute_candidates_array);
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}
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// only keep allowed candidates
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@ -289,12 +289,6 @@ fn attribute_start_with_docids(
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Ok(attribute_candidates_array)
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}
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#[inline(never)]
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fn intersection_of(mut rbs: Vec<&RoaringBitmap>) -> RoaringBitmap {
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rbs.sort_unstable_by_key(|rb| rb.len());
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roaring::MultiOps::intersection(rbs.into_iter())
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}
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#[derive(Debug, Clone)]
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pub enum ExactQueryPart {
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Phrase(Vec<Option<String>>),
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@ -440,8 +434,7 @@ fn compute_combinations(
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fn create_non_disjoint_combinations(bitmaps: Vec<RoaringBitmap>) -> Vec<RoaringBitmap> {
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let nbr_parts = bitmaps.len();
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if nbr_parts == 1 {
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let flattened_base_level = MultiOps::union(bitmaps.into_iter());
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return vec![flattened_base_level];
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return bitmaps;
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}
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let mut flattened_levels = vec![];
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let mut last_level: BTreeMap<usize, RoaringBitmap> =
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@ -466,12 +459,12 @@ fn create_non_disjoint_combinations(bitmaps: Vec<RoaringBitmap>) -> Vec<RoaringB
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}
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}
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// Now flatten the last level to save memory
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let flattened_last_level = MultiOps::union(last_level.values());
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let flattened_last_level = MultiOps::union(last_level.into_values());
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flattened_levels.push(flattened_last_level);
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last_level = new_level;
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}
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// Flatten the last level
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let flattened_last_level = MultiOps::union(last_level.values());
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let flattened_last_level = MultiOps::union(last_level.into_values());
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flattened_levels.push(flattened_last_level);
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flattened_levels
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}
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@ -480,27 +473,17 @@ fn create_non_disjoint_combinations(bitmaps: Vec<RoaringBitmap>) -> Vec<RoaringB
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/// such that `Xi` contains all the elements that are contained in **exactly** `i+1` bitmaps among `b0,b1,...,bn`.
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///
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/// The returned vector is guaranteed to be of length `n`. It is equal to `vec![X0, X1, ..., Xn]`.
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///
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/// ## Implementation
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/// 1. We first create `Y0,Y1,...Yn` such that `Yi` contains all the elements that are contained in
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/// **at least** `i+1` bitmaps among `b0,b1,...,bn`. This is done using `create_non_disjoint_combinations`.
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///
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/// 2. We create a set of "forbidden" elements, `Fn`, which is initialised to the empty set.
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///
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/// 3. We compute:
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/// - `Xn = Yn - Fn`
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/// - `Fn-1 = Fn | Xn`
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fn create_disjoint_combinations(parts_candidates_array: Vec<RoaringBitmap>) -> Vec<RoaringBitmap> {
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let non_disjoint_combinations = create_non_disjoint_combinations(parts_candidates_array);
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let mut disjoint_combinations = vec![];
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let mut forbidden = RoaringBitmap::new();
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for mut combination in non_disjoint_combinations.into_iter().rev() {
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combination -= &forbidden;
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forbidden |= &combination;
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let mut combinations = non_disjoint_combinations.into_iter().peekable();
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while let Some(mut combination) = combinations.next() {
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if let Some(forbidden) = combinations.peek() {
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combination -= forbidden;
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}
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disjoint_combinations.push(combination)
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}
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disjoint_combinations.reverse();
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disjoint_combinations
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}
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