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https://github.com/meilisearch/meilisearch.git
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Tiny refactor of query graph remove_nodes method
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0d6e8b5c31
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@ -84,7 +84,7 @@ fn resolve_maximally_reduced_query_graph(
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.collect(),
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TermsMatchingStrategy::All => vec![],
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};
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graph.remove_nodes(&nodes_to_remove);
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graph.remove_nodes_keep_edges(&nodes_to_remove);
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logger.query_for_universe(&graph);
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let docids = compute_query_graph_docids(ctx, &graph, universe)?;
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@ -177,11 +177,34 @@ impl QueryGraph {
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node.data = node_data;
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}
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let mut graph = QueryGraph { root_node, end_node, nodes };
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graph.rebuild_edges();
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graph.build_initial_edges();
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Ok(graph)
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}
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/// Remove the given nodes, connecting all their predecessors to all their successors.
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pub fn remove_nodes_keep_edges(&mut self, nodes: &[Interned<QueryNode>]) {
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for &node_id in nodes {
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let node = self.nodes.get(node_id);
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let old_node_pred = node.predecessors.clone();
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let old_node_succ = node.successors.clone();
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for pred in old_node_pred.iter() {
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let pred_successors = &mut self.nodes.get_mut(pred).successors;
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pred_successors.remove(node_id);
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pred_successors.union(&old_node_succ);
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}
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for succ in old_node_succ.iter() {
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let succ_predecessors = &mut self.nodes.get_mut(succ).predecessors;
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succ_predecessors.remove(node_id);
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succ_predecessors.union(&old_node_pred);
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}
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let node = self.nodes.get_mut(node_id);
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node.data = QueryNodeData::Deleted;
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node.predecessors.clear();
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node.successors.clear();
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}
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}
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/// Remove the given nodes and all their edges from the query graph.
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pub fn remove_nodes(&mut self, nodes: &[Interned<QueryNode>]) {
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for &node_id in nodes {
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@ -201,10 +224,30 @@ impl QueryGraph {
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node.predecessors.clear();
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node.successors.clear();
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}
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self.rebuild_edges();
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}
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/// Simplify the query graph by removing all nodes that are disconnected from
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/// the start or end nodes.
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pub fn simplify(&mut self) {
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loop {
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let mut nodes_to_remove = vec![];
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for (node_idx, node) in self.nodes.iter() {
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if (!matches!(node.data, QueryNodeData::End | QueryNodeData::Deleted)
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&& node.successors.is_empty())
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|| (!matches!(node.data, QueryNodeData::Start | QueryNodeData::Deleted)
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&& node.predecessors.is_empty())
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{
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nodes_to_remove.push(node_idx);
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}
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}
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if nodes_to_remove.is_empty() {
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break;
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} else {
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self.remove_nodes(&nodes_to_remove);
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}
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}
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}
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fn rebuild_edges(&mut self) {
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fn build_initial_edges(&mut self) {
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for (_, node) in self.nodes.iter_mut() {
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node.successors.clear();
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node.predecessors.clear();
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@ -253,22 +296,6 @@ impl QueryGraph {
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}
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}
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/// Remove all the nodes that correspond to a word starting at the given position and rebuild
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/// the edges of the graph appropriately.
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pub fn remove_words_starting_at_position(&mut self, position: i8) -> bool {
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let mut nodes_to_remove = vec![];
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for (node_idx, node) in self.nodes.iter() {
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let QueryNodeData::Term(LocatedQueryTermSubset { term_subset: _, positions, term_ids: _ }) = &node.data else { continue };
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if positions.start() == &position {
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nodes_to_remove.push(node_idx);
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}
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}
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self.remove_nodes(&nodes_to_remove);
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!nodes_to_remove.is_empty()
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}
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pub fn removal_order_for_terms_matching_strategy_last(&self) -> Vec<SmallBitmap<QueryNode>> {
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let (first_term_idx, last_term_idx) = {
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let mut first_term_idx = u8::MAX;
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@ -76,7 +76,7 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for Words {
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self.exhausted = true;
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} else {
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let nodes_to_remove = self.nodes_to_remove.pop().unwrap();
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query_graph.remove_nodes(&nodes_to_remove.iter().collect::<Vec<_>>());
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query_graph.remove_nodes_keep_edges(&nodes_to_remove.iter().collect::<Vec<_>>());
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}
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Ok(Some(RankingRuleOutput { query: child_query_graph, candidates: this_bucket }))
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