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https://github.com/meilisearch/meilisearch.git
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Use new term matching strategy logic in words ranking rule
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parent
2997d1f186
commit
35c16ad047
@ -1,18 +1,16 @@
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use std::collections::BTreeSet;
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use roaring::RoaringBitmap;
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use super::logger::SearchLogger;
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use super::query_graph::QueryNodeData;
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use super::query_graph::QueryNode;
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use super::resolve_query_graph::compute_query_graph_docids;
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use super::small_bitmap::SmallBitmap;
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use super::{QueryGraph, RankingRule, RankingRuleOutput, SearchContext};
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use crate::{Result, TermsMatchingStrategy};
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use roaring::RoaringBitmap;
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pub struct Words {
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exhausted: bool, // TODO: remove
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query_graph: Option<QueryGraph>,
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iterating: bool, // TODO: remove
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positions_to_remove: Vec<i8>,
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nodes_to_remove: Vec<SmallBitmap<QueryNode>>,
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terms_matching_strategy: TermsMatchingStrategy,
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}
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impl Words {
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@ -21,7 +19,7 @@ impl Words {
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exhausted: true,
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query_graph: None,
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iterating: false,
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positions_to_remove: vec![],
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nodes_to_remove: vec![],
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terms_matching_strategy,
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}
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}
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@ -40,26 +38,14 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for Words {
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) -> Result<()> {
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self.exhausted = false;
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self.query_graph = Some(parent_query_graph.clone());
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let positions_to_remove = match self.terms_matching_strategy {
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self.nodes_to_remove = match self.terms_matching_strategy {
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TermsMatchingStrategy::Last => {
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let mut all_positions = BTreeSet::new();
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for (_, n) in parent_query_graph.nodes.iter() {
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match &n.data {
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QueryNodeData::Term(term) => {
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all_positions.extend(term.positions.clone());
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}
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QueryNodeData::Deleted | QueryNodeData::Start | QueryNodeData::End => {}
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}
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}
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let mut r: Vec<i8> = all_positions.into_iter().collect();
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// don't remove the first term
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r.remove(0);
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r
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parent_query_graph.removal_order_for_terms_matching_strategy_last()
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}
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TermsMatchingStrategy::All => {
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vec![]
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}
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TermsMatchingStrategy::All => vec![],
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};
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self.positions_to_remove = positions_to_remove;
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self.iterating = true;
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Ok(())
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}
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@ -83,18 +69,12 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for Words {
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let this_bucket = compute_query_graph_docids(ctx, query_graph, universe)?;
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let child_query_graph = query_graph.clone();
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loop {
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if self.positions_to_remove.is_empty() {
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self.exhausted = true;
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break;
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} else {
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let position_to_remove = self.positions_to_remove.pop().unwrap();
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let did_delete_any_node =
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query_graph.remove_words_starting_at_position(position_to_remove);
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if did_delete_any_node {
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break;
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}
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}
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if self.nodes_to_remove.is_empty() {
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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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}
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Ok(Some(RankingRuleOutput { query: child_query_graph, candidates: this_bucket }))
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@ -107,7 +87,7 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for Words {
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) {
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self.iterating = false;
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self.exhausted = true;
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self.positions_to_remove = vec![];
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self.nodes_to_remove = vec![];
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self.query_graph = None;
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}
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}
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