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https://github.com/meilisearch/meilisearch.git
synced 2024-11-27 04:25:06 +08:00
Add sort ranking rule to new search impl
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parent
600e3dd1c5
commit
71f18e4379
@ -68,7 +68,7 @@ impl SearchLogger<QueryGraph> for DetailedSearchLogger {
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fn initial_universe(&mut self, universe: &RoaringBitmap) {
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self.initial_universe = Some(universe.clone());
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}
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fn ranking_rules(&mut self, rr: &[Box<dyn RankingRule<QueryGraph>>]) {
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fn ranking_rules(&mut self, rr: &[&mut dyn RankingRule<QueryGraph>]) {
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self.ranking_rules_ids = Some(rr.iter().map(|rr| rr.id()).collect());
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}
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@ -17,7 +17,7 @@ impl<Q: RankingRuleQueryTrait> SearchLogger<Q> for DefaultSearchLogger {
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fn initial_universe(&mut self, _universe: &RoaringBitmap) {}
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fn ranking_rules(&mut self, _rr: &[Box<dyn RankingRule<Q>>]) {}
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fn ranking_rules(&mut self, _rr: &[&mut dyn RankingRule<Q>]) {}
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fn start_iteration_ranking_rule<'transaction>(
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&mut self,
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_ranking_rule_idx: usize,
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@ -67,7 +67,7 @@ pub trait SearchLogger<Q: RankingRuleQueryTrait> {
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fn initial_query(&mut self, query: &Q);
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fn initial_universe(&mut self, universe: &RoaringBitmap);
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fn ranking_rules(&mut self, rr: &[Box<dyn RankingRule<Q>>]);
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fn ranking_rules(&mut self, rr: &[&mut dyn RankingRule<Q>]);
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fn start_iteration_ranking_rule<'transaction>(
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&mut self,
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@ -8,7 +8,7 @@ use super::QueryGraph;
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use crate::new::graph_based_ranking_rule::GraphBasedRankingRule;
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use crate::new::ranking_rule_graph::proximity::ProximityGraph;
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use crate::new::words::Words;
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// use crate::search::new::sort::Sort;
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use crate::search::new::sort::Sort;
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use crate::{Filter, Index, Result, TermsMatchingStrategy};
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pub trait RankingRuleOutputIter<'transaction, Query> {
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@ -122,12 +122,12 @@ pub fn execute_search<'transaction>(
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length: usize,
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logger: &mut dyn SearchLogger<QueryGraph>,
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) -> Result<Vec<u32>> {
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let words = Words::new(TermsMatchingStrategy::Last);
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// let sort = Sort::new(index, txn, "sort1".to_owned(), true)?;
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let proximity = GraphBasedRankingRule::<ProximityGraph>::new("proximity".to_owned());
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let words = &mut Words::new(TermsMatchingStrategy::Last);
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let sort = &mut Sort::new(index, txn, "release_date".to_owned(), true)?;
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let proximity = &mut GraphBasedRankingRule::<ProximityGraph>::new("proximity".to_owned());
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// TODO: ranking rules given as argument
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let mut ranking_rules: Vec<Box<dyn RankingRule<'transaction, QueryGraph>>> =
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vec![Box::new(words), Box::new(proximity) /* Box::new(sort) */];
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let mut ranking_rules: Vec<&mut dyn RankingRule<'transaction, QueryGraph>> =
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vec![words, proximity, sort];
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logger.ranking_rules(&ranking_rules);
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@ -142,7 +142,7 @@ pub fn execute_search<'transaction>(
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}
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let ranking_rules_len = ranking_rules.len();
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logger.start_iteration_ranking_rule(0, ranking_rules[0].as_ref(), query_graph, &universe);
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logger.start_iteration_ranking_rule(0, ranking_rules[0], query_graph, &universe);
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ranking_rules[0].start_iteration(index, txn, db_cache, logger, &universe, query_graph)?;
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let mut candidates = vec![RoaringBitmap::default(); ranking_rules_len];
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@ -152,9 +152,10 @@ pub fn execute_search<'transaction>(
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macro_rules! back {
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() => {
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assert!(candidates[cur_ranking_rule_index].is_empty());
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logger.end_iteration_ranking_rule(
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cur_ranking_rule_index,
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ranking_rules[cur_ranking_rule_index].as_ref(),
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ranking_rules[cur_ranking_rule_index],
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&candidates[cur_ranking_rule_index],
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);
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candidates[cur_ranking_rule_index].clear();
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@ -182,7 +183,7 @@ pub fn execute_search<'transaction>(
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if cur_offset + (candidates.len() as usize) < from {
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logger.skip_bucket_ranking_rule(
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cur_ranking_rule_index,
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ranking_rules[cur_ranking_rule_index].as_ref(),
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ranking_rules[cur_ranking_rule_index],
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&candidates,
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);
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} else {
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@ -191,7 +192,7 @@ pub fn execute_search<'transaction>(
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all_candidates.split_at(from - cur_offset);
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logger.skip_bucket_ranking_rule(
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cur_ranking_rule_index,
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ranking_rules[cur_ranking_rule_index].as_ref(),
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ranking_rules[cur_ranking_rule_index],
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&skipped_candidates.into_iter().collect(),
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);
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let candidates = candidates
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@ -216,6 +217,7 @@ pub fn execute_search<'transaction>(
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// The universe for this bucket is zero or one element, so we don't need to sort
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// anything, just extend the results and go back to the parent ranking rule.
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if candidates[cur_ranking_rule_index].len() <= 1 {
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candidates[cur_ranking_rule_index].clear();
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maybe_add_to_results!(&candidates[cur_ranking_rule_index]);
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back!();
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continue;
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@ -223,7 +225,7 @@ pub fn execute_search<'transaction>(
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logger.next_bucket_ranking_rule(
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cur_ranking_rule_index,
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ranking_rules[cur_ranking_rule_index].as_ref(),
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ranking_rules[cur_ranking_rule_index],
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&candidates[cur_ranking_rule_index],
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);
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@ -232,6 +234,7 @@ pub fn execute_search<'transaction>(
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continue;
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};
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assert!(candidates[cur_ranking_rule_index].is_superset(&next_bucket.candidates));
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candidates[cur_ranking_rule_index] -= &next_bucket.candidates;
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if cur_ranking_rule_index == ranking_rules_len - 1
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@ -246,7 +249,7 @@ pub fn execute_search<'transaction>(
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candidates[cur_ranking_rule_index] = next_bucket.candidates.clone();
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logger.start_iteration_ranking_rule(
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cur_ranking_rule_index,
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ranking_rules[cur_ranking_rule_index].as_ref(),
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ranking_rules[cur_ranking_rule_index],
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&next_bucket.query,
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&candidates[cur_ranking_rule_index],
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);
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@ -16,19 +16,16 @@ use crate::{
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Result,
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};
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// TODO: The implementation of Sort is not correct:
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// (1) it should not return documents it has already returned (does the current implementation have the same bug?)
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// (2) at the end, it should return all the remaining documents (this could be ensured at the trait level?)
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pub struct Sort<'transaction, Query> {
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field_name: String,
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field_id: Option<FieldId>,
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is_ascending: bool,
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original_query: Option<Query>,
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iter: Option<RankingRuleOutputIterWrapper<'transaction, Query>>,
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}
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impl<'transaction, Query> Sort<'transaction, Query> {
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pub fn new(
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index: &'transaction Index,
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index: &Index,
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rtxn: &'transaction heed::RoTxn,
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field_name: String,
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is_ascending: bool,
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@ -36,7 +33,7 @@ impl<'transaction, Query> Sort<'transaction, Query> {
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let fields_ids_map = index.fields_ids_map(rtxn)?;
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let field_id = fields_ids_map.id(&field_name);
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Ok(Self { field_name, field_id, is_ascending, iter: None })
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Ok(Self { field_name, field_id, is_ascending, original_query: None, iter: None })
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}
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}
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@ -87,6 +84,7 @@ impl<'transaction, Query: RankingRuleQueryTrait> RankingRule<'transaction, Query
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}
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None => RankingRuleOutputIterWrapper::new(Box::new(std::iter::empty())),
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};
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self.original_query = Some(parent_query_graph.clone());
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self.iter = Some(iter);
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Ok(())
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}
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@ -97,11 +95,17 @@ impl<'transaction, Query: RankingRuleQueryTrait> RankingRule<'transaction, Query
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_txn: &'transaction RoTxn,
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_db_cache: &mut DatabaseCache<'transaction>,
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_logger: &mut dyn SearchLogger<Query>,
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_universe: &RoaringBitmap,
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universe: &RoaringBitmap,
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) -> Result<Option<RankingRuleOutput<Query>>> {
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let iter = self.iter.as_mut().unwrap();
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// TODO: we should make use of the universe in the function below
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iter.next_bucket()
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if let Some(mut bucket) = iter.next_bucket()? {
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bucket.candidates &= universe;
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Ok(Some(bucket))
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} else {
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let query = self.original_query.as_ref().unwrap().clone();
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Ok(Some(RankingRuleOutput { query, candidates: universe.clone() }))
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}
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}
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fn end_iteration(
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@ -111,6 +115,7 @@ impl<'transaction, Query: RankingRuleQueryTrait> RankingRule<'transaction, Query
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_db_cache: &mut DatabaseCache<'transaction>,
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_logger: &mut dyn SearchLogger<Query>,
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) {
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self.original_query = None;
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self.iter = None;
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}
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}
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