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https://github.com/meilisearch/MeiliSearch
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Simplify graph-based ranking rule impl
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@ -87,7 +87,7 @@ pub struct GraphBasedRankingRuleState<G: RankingRuleGraphTrait> {
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/// Cache to retrieve the docids associated with each edge
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conditions_cache: ConditionDocIdsCache<G>,
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/// Cache used to optimistically discard paths that resolve to no documents.
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dead_end_path_cache: DeadEndsCache<G::Condition>,
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dead_ends_cache: DeadEndsCache<G::Condition>,
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/// A structure giving the list of possible costs from each node to the end node,
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/// along with a set of unavoidable edges that must be traversed to achieve that distance.
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all_distances: MappedInterner<Vec<(u16, SmallBitmap<G::Condition>)>, QueryNode>,
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@ -95,34 +95,6 @@ pub struct GraphBasedRankingRuleState<G: RankingRuleGraphTrait> {
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cur_distance_idx: usize,
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}
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/// Traverse each edge of the graph, computes its associated document ids,
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/// and remove this edge from the graph if its docids are disjoint with the
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/// given universe.
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fn remove_empty_edges<'ctx, G: RankingRuleGraphTrait>(
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ctx: &mut SearchContext<'ctx>,
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graph: &mut RankingRuleGraph<G>,
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condition_docids_cache: &mut ConditionDocIdsCache<G>,
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universe: &RoaringBitmap,
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dead_end_path_cache: &mut DeadEndsCache<G::Condition>,
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) -> Result<()> {
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for edge_id in graph.edges_store.indexes() {
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let Some(edge) = graph.edges_store.get(edge_id).as_ref() else {
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continue;
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};
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let Some(condition) = edge.condition else { continue };
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let docids =
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condition_docids_cache.get_condition_docids(ctx, condition, graph, universe)?;
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if docids.is_empty() {
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graph.remove_edges_with_condition(condition);
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dead_end_path_cache.forbid_condition(condition); // add_condition(condition);
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condition_docids_cache.cache.remove(&condition);
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continue;
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}
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}
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Ok(())
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}
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impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBasedRankingRule<G> {
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fn id(&self) -> String {
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self.id.clone()
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@ -131,22 +103,12 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
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&mut self,
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ctx: &mut SearchContext<'ctx>,
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_logger: &mut dyn SearchLogger<QueryGraph>,
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universe: &RoaringBitmap,
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_universe: &RoaringBitmap,
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query_graph: &QueryGraph,
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) -> Result<()> {
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let mut graph = RankingRuleGraph::build(ctx, query_graph.clone())?;
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let mut condition_docids_cache = ConditionDocIdsCache::default();
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let mut dead_end_path_cache = DeadEndsCache::new(&graph.conditions_interner);
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// First simplify the graph as much as possible, by computing the docids of all the conditions
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// within the rule's universe and removing the edges that have no associated docids.
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remove_empty_edges(
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ctx,
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&mut graph,
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&mut condition_docids_cache,
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universe,
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&mut dead_end_path_cache,
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)?;
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let graph = RankingRuleGraph::build(ctx, query_graph.clone())?;
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let condition_docids_cache = ConditionDocIdsCache::default();
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let dead_end_path_cache = DeadEndsCache::new(&graph.conditions_interner);
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// Then pre-compute the cost of all paths from each node to the end node
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let all_distances = graph.initialize_distances_with_necessary_edges();
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@ -154,7 +116,7 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
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let state = GraphBasedRankingRuleState {
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graph,
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conditions_cache: condition_docids_cache,
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dead_end_path_cache,
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dead_ends_cache: dead_end_path_cache,
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all_distances,
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cur_distance_idx: 0,
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};
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@ -177,15 +139,6 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
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// should never happen
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let mut state = self.state.take().unwrap();
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// TODO: does this have a real positive performance impact?
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remove_empty_edges(
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ctx,
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&mut state.graph,
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&mut state.conditions_cache,
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universe,
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&mut state.dead_end_path_cache,
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)?;
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// If the cur_distance_idx does not point to a valid cost in the `all_distances`
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// structure, then we have computed all the buckets and can return.
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if state.cur_distance_idx
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@ -205,7 +158,7 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
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let GraphBasedRankingRuleState {
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graph,
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conditions_cache: condition_docids_cache,
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dead_end_path_cache,
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dead_ends_cache: dead_end_path_cache,
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all_distances,
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cur_distance_idx: _,
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} = &mut state;
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@ -10,12 +10,6 @@ use crate::search::new::query_graph::QueryNode;
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use crate::search::new::small_bitmap::SmallBitmap;
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use crate::Result;
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#[derive(Debug, Clone, PartialEq, Eq, Hash)]
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pub struct Path {
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pub edges: Vec<u16>,
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pub cost: u64,
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}
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impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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pub fn visit_paths_of_cost(
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&mut self,
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