mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-04 20:18:55 +01:00
Add support for filters
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parent
998d46ac10
commit
362eb0de86
@ -11,7 +11,7 @@ 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::{Index, Result, TermsMatchingStrategy};
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use crate::{Filter, Index, Result, TermsMatchingStrategy};
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pub trait RankingRuleOutputIter<'transaction, Query> {
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fn next_bucket(&mut self) -> Result<Option<RankingRuleOutput<Query>>>;
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@ -111,16 +111,18 @@ pub fn get_start_universe<'transaction>(
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Ok(universe)
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}
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// TODO: can make it generic over the query type (either query graph or placeholder) fairly easily
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#[allow(clippy::too_many_arguments)]
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pub fn execute_search<'transaction>(
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index: &Index,
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txn: &'transaction heed::RoTxn,
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// TODO: ranking rules parameter
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db_cache: &mut DatabaseCache<'transaction>,
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universe: &RoaringBitmap,
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query_graph: &QueryGraph,
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logger: &mut dyn SearchLogger<QueryGraph>,
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filters: Option<Filter>,
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from: usize,
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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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@ -131,9 +133,19 @@ pub fn execute_search<'transaction>(
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logger.ranking_rules(&ranking_rules);
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let universe = if let Some(filters) = filters {
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filters.evaluate(txn, index)?
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} else {
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index.documents_ids(txn)?
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};
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if universe.len() < from as u64 {
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return Ok(vec![]);
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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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ranking_rules[0].start_iteration(index, txn, db_cache, logger, universe, query_graph)?;
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logger.start_iteration_ranking_rule(0, ranking_rules[0].as_ref(), 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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candidates[0] = universe.clone();
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@ -160,23 +172,21 @@ pub fn execute_search<'transaction>(
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let mut results = vec![];
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let mut cur_offset = 0usize;
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macro_rules! add_to_results {
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// Add the candidates to the results. Take the `from`, `limit`, and `cur_offset` into account.
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macro_rules! maybe_add_to_results {
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($candidates:expr) => {
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let candidates = $candidates;
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let len = candidates.len();
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// if the candidates are empty, there is nothing to do;
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if !candidates.is_empty() {
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println!("cur_offset: {}, candidates_len: {}", cur_offset, candidates.len());
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if cur_offset < from {
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println!(" cur_offset < from");
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if cur_offset + (candidates.len() as usize) < from {
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println!(" cur_offset + candidates_len < 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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&candidates,
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);
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} else {
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println!(" cur_offset + candidates_len >= from");
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let all_candidates = candidates.iter().collect::<Vec<_>>();
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let (skipped_candidates, candidates) =
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all_candidates.split_at(from - cur_offset);
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@ -203,13 +213,12 @@ pub fn execute_search<'transaction>(
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cur_offset += len as usize;
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};
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}
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// TODO: skip buckets when we want to start from an offset
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while results.len() < length {
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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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add_to_results!(&candidates[cur_ranking_rule_index]);
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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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}
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@ -227,41 +236,30 @@ pub fn execute_search<'transaction>(
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candidates[cur_ranking_rule_index] -= &next_bucket.candidates;
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if next_bucket.candidates.len() <= 1 {
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// Only zero or one candidate, no need to sort through the child ranking rule.
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add_to_results!(next_bucket.candidates);
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if cur_ranking_rule_index == ranking_rules_len - 1
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|| next_bucket.candidates.len() <= 1
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|| cur_offset + (next_bucket.candidates.len() as usize) < from
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{
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maybe_add_to_results!(&next_bucket.candidates);
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continue;
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} else {
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// many candidates, give to next ranking rule, if any
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if cur_ranking_rule_index == ranking_rules_len - 1 {
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add_to_results!(next_bucket.candidates);
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} else if cur_offset + (next_bucket.candidates.len() as usize) < from {
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cur_offset += next_bucket.candidates.len() as usize;
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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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&next_bucket.candidates,
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);
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continue;
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} else {
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cur_ranking_rule_index += 1;
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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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&next_bucket.query,
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&candidates[cur_ranking_rule_index],
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);
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ranking_rules[cur_ranking_rule_index].start_iteration(
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index,
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txn,
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db_cache,
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logger,
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&next_bucket.candidates,
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&next_bucket.query,
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)?;
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}
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}
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cur_ranking_rule_index += 1;
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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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&next_bucket.query,
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&candidates[cur_ranking_rule_index],
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);
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ranking_rules[cur_ranking_rule_index].start_iteration(
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index,
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txn,
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db_cache,
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logger,
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&next_bucket.candidates,
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&next_bucket.query,
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)?;
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}
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Ok(results)
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@ -325,28 +323,9 @@ mod tests {
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println!("{}", query_graph.graphviz());
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logger.initial_query(&query_graph);
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// TODO: filters + maybe distinct attributes?
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let universe = get_start_universe(
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&index,
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&txn,
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&mut db_cache,
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&query_graph,
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TermsMatchingStrategy::Last,
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)
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.unwrap();
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println!("universe: {universe:?}");
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let results = execute_search(
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&index,
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&txn,
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&mut db_cache,
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&universe,
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&query_graph,
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&mut logger,
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0,
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20,
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)
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.unwrap();
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let results =
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execute_search(&index, &txn, &mut db_cache, &query_graph, None, 0, 20, &mut logger)
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.unwrap();
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println!("{results:?}")
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}
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@ -389,11 +368,11 @@ mod tests {
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&index,
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&txn,
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&mut db_cache,
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&universe,
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&query_graph,
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&mut logger, //&mut DefaultSearchLogger,
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None,
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500,
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100,
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&mut logger, //&mut DefaultSearchLogger,
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)
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.unwrap();
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