mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-12 16:08:55 +01:00
Take into account that a logger need the search context
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parent
ae17c62e24
commit
47f6a3ad3d
@ -6,6 +6,7 @@ use roaring::bitmap::RoaringBitmap;
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pub use self::facet::{FacetDistribution, Filter, DEFAULT_VALUES_PER_FACET};
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pub use self::facet::{FacetDistribution, Filter, DEFAULT_VALUES_PER_FACET};
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pub use self::new::matches::{FormatOptions, MatchBounds, Matcher, MatcherBuilder, MatchingWords};
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pub use self::new::matches::{FormatOptions, MatchBounds, Matcher, MatcherBuilder, MatchingWords};
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use self::new::PartialSearchResult;
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use crate::{
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use crate::{
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execute_search, AscDesc, DefaultSearchLogger, DocumentId, Index, Result, SearchContext,
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execute_search, AscDesc, DefaultSearchLogger, DocumentId, Index, Result, SearchContext,
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};
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};
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@ -106,20 +107,29 @@ impl<'a> Search<'a> {
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}
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}
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pub fn execute(&self) -> Result<SearchResult> {
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pub fn execute(&self) -> Result<SearchResult> {
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let ctx = SearchContext::new(self.index, self.rtxn);
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let mut ctx = SearchContext::new(self.index, self.rtxn);
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execute_search(
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let PartialSearchResult { located_query_terms, candidates, documents_ids } =
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ctx,
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execute_search(
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&self.query,
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&mut ctx,
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self.terms_matching_strategy,
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&self.query,
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self.exhaustive_number_hits,
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self.terms_matching_strategy,
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&self.filter,
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self.exhaustive_number_hits,
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&self.sort_criteria,
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&self.filter,
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self.offset,
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&self.sort_criteria,
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self.limit,
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self.offset,
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Some(self.words_limit),
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self.limit,
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&mut DefaultSearchLogger,
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Some(self.words_limit),
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&mut DefaultSearchLogger,
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&mut DefaultSearchLogger,
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)
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&mut DefaultSearchLogger,
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)?;
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// consume context and located_query_terms to build MatchingWords.
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let matching_words = match located_query_terms {
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Some(located_query_terms) => MatchingWords::new(ctx, located_query_terms),
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None => MatchingWords::default(),
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};
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Ok(SearchResult { matching_words, candidates, documents_ids })
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}
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}
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}
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}
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@ -28,7 +28,7 @@ use interner::DedupInterner;
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pub use logger::detailed::DetailedSearchLogger;
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pub use logger::detailed::DetailedSearchLogger;
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pub use logger::{DefaultSearchLogger, SearchLogger};
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pub use logger::{DefaultSearchLogger, SearchLogger};
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use query_graph::{QueryGraph, QueryNode};
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use query_graph::{QueryGraph, QueryNode};
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use query_term::{located_query_terms_from_string, Phrase, QueryTerm};
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use query_term::{located_query_terms_from_string, LocatedQueryTerm, Phrase, QueryTerm};
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use ranking_rules::{bucket_sort, PlaceholderQuery, RankingRuleOutput, RankingRuleQueryTrait};
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use ranking_rules::{bucket_sort, PlaceholderQuery, RankingRuleOutput, RankingRuleQueryTrait};
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use resolve_query_graph::PhraseDocIdsCache;
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use resolve_query_graph::PhraseDocIdsCache;
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use roaring::RoaringBitmap;
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use roaring::RoaringBitmap;
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@ -39,10 +39,7 @@ use self::ranking_rules::{BoxRankingRule, RankingRule};
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use self::resolve_query_graph::compute_query_graph_docids;
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use self::resolve_query_graph::compute_query_graph_docids;
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use self::sort::Sort;
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use self::sort::Sort;
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use crate::search::new::distinct::apply_distinct_rule;
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use crate::search::new::distinct::apply_distinct_rule;
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use crate::{
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use crate::{AscDesc, DocumentId, Filter, Index, Member, Result, TermsMatchingStrategy, UserError};
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AscDesc, Filter, Index, MatchingWords, Member, Result, SearchResult, TermsMatchingStrategy,
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UserError,
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};
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/// A structure used throughout the execution of a search query.
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/// A structure used throughout the execution of a search query.
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pub struct SearchContext<'ctx> {
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pub struct SearchContext<'ctx> {
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@ -54,6 +51,7 @@ pub struct SearchContext<'ctx> {
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pub term_interner: Interner<QueryTerm>,
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pub term_interner: Interner<QueryTerm>,
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pub phrase_docids: PhraseDocIdsCache,
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pub phrase_docids: PhraseDocIdsCache,
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}
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}
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impl<'ctx> SearchContext<'ctx> {
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impl<'ctx> SearchContext<'ctx> {
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pub fn new(index: &'ctx Index, txn: &'ctx RoTxn<'ctx>) -> Self {
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pub fn new(index: &'ctx Index, txn: &'ctx RoTxn<'ctx>) -> Self {
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Self {
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Self {
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@ -271,7 +269,7 @@ fn resolve_sort_criteria<'ctx, Query: RankingRuleQueryTrait>(
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#[allow(clippy::too_many_arguments)]
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#[allow(clippy::too_many_arguments)]
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pub fn execute_search(
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pub fn execute_search(
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mut ctx: SearchContext,
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ctx: &mut SearchContext,
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query: &Option<String>,
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query: &Option<String>,
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terms_matching_strategy: TermsMatchingStrategy,
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terms_matching_strategy: TermsMatchingStrategy,
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exhaustive_number_hits: bool,
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exhaustive_number_hits: bool,
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@ -282,11 +280,11 @@ pub fn execute_search(
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words_limit: Option<usize>,
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words_limit: Option<usize>,
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placeholder_search_logger: &mut dyn SearchLogger<PlaceholderQuery>,
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placeholder_search_logger: &mut dyn SearchLogger<PlaceholderQuery>,
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query_graph_logger: &mut dyn SearchLogger<QueryGraph>,
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query_graph_logger: &mut dyn SearchLogger<QueryGraph>,
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) -> Result<SearchResult> {
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) -> Result<PartialSearchResult> {
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let mut universe = if let Some(filters) = filters {
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let mut universe = if let Some(filters) = filters {
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filters.evaluate(&mut ctx.txn, &mut ctx.index)?
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filters.evaluate(ctx.txn, ctx.index)?
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} else {
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} else {
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ctx.index.documents_ids(&mut ctx.txn)?
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ctx.index.documents_ids(ctx.txn)?
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};
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};
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let mut located_query_terms = None;
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let mut located_query_terms = None;
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@ -294,12 +292,12 @@ pub fn execute_search(
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// We make sure that the analyzer is aware of the stop words
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// We make sure that the analyzer is aware of the stop words
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// this ensures that the query builder is able to properly remove them.
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// this ensures that the query builder is able to properly remove them.
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let mut tokbuilder = TokenizerBuilder::new();
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let mut tokbuilder = TokenizerBuilder::new();
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let stop_words = &mut ctx.index.stop_words(&mut ctx.txn)?;
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let stop_words = ctx.index.stop_words(ctx.txn)?;
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if let Some(ref stop_words) = stop_words {
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if let Some(ref stop_words) = stop_words {
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tokbuilder.stop_words(stop_words);
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tokbuilder.stop_words(stop_words);
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}
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}
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let script_lang_map = &mut ctx.index.script_language(&mut ctx.txn)?;
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let script_lang_map = ctx.index.script_language(ctx.txn)?;
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if !script_lang_map.is_empty() {
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if !script_lang_map.is_empty() {
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tokbuilder.allow_list(&script_lang_map);
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tokbuilder.allow_list(&script_lang_map);
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}
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}
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@ -307,31 +305,28 @@ pub fn execute_search(
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let tokenizer = tokbuilder.build();
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let tokenizer = tokbuilder.build();
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let tokens = tokenizer.tokenize(query);
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let tokens = tokenizer.tokenize(query);
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let query_terms = located_query_terms_from_string(&mut ctx, tokens, words_limit)?;
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let query_terms = located_query_terms_from_string(ctx, tokens, words_limit)?;
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let graph = QueryGraph::from_query(&mut ctx, &query_terms)?;
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let graph = QueryGraph::from_query(ctx, &query_terms)?;
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located_query_terms = Some(query_terms);
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located_query_terms = Some(query_terms);
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check_sort_criteria(&mut ctx, sort_criteria.as_ref())?;
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check_sort_criteria(ctx, sort_criteria.as_ref())?;
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universe = resolve_maximally_reduced_query_graph(
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universe = resolve_maximally_reduced_query_graph(
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&mut ctx,
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ctx,
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&universe,
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&universe,
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&graph,
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&graph,
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terms_matching_strategy,
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terms_matching_strategy,
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query_graph_logger,
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query_graph_logger,
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)?;
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)?;
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let ranking_rules = get_ranking_rules_for_query_graph_search(
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let ranking_rules =
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&mut ctx,
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get_ranking_rules_for_query_graph_search(ctx, sort_criteria, terms_matching_strategy)?;
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sort_criteria,
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terms_matching_strategy,
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)?;
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bucket_sort(&mut ctx, ranking_rules, &graph, &universe, from, length, query_graph_logger)?
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bucket_sort(ctx, ranking_rules, &graph, &universe, from, length, query_graph_logger)?
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} else {
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} else {
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let ranking_rules = get_ranking_rules_for_placeholder_search(&mut ctx, sort_criteria)?;
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let ranking_rules = get_ranking_rules_for_placeholder_search(ctx, sort_criteria)?;
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bucket_sort(
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bucket_sort(
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&mut ctx,
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ctx,
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ranking_rules,
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ranking_rules,
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&PlaceholderQuery,
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&PlaceholderQuery,
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&universe,
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&universe,
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@ -345,20 +340,14 @@ pub fn execute_search(
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// is requested and a distinct attribute is set.
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// is requested and a distinct attribute is set.
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let mut candidates = universe;
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let mut candidates = universe;
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if exhaustive_number_hits {
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if exhaustive_number_hits {
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if let Some(f) = &mut ctx.index.distinct_field(&mut ctx.txn)? {
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if let Some(f) = ctx.index.distinct_field(ctx.txn)? {
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if let Some(distinct_fid) = ctx.index.fields_ids_map(&mut ctx.txn)?.id(f) {
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if let Some(distinct_fid) = ctx.index.fields_ids_map(ctx.txn)?.id(f) {
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candidates = apply_distinct_rule(&mut ctx, distinct_fid, &candidates)?.remaining;
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candidates = apply_distinct_rule(ctx, distinct_fid, &candidates)?.remaining;
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}
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}
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}
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}
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}
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}
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// consume context and located_query_terms to build MatchingWords.
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Ok(PartialSearchResult { located_query_terms, candidates, documents_ids })
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let matching_words = match located_query_terms {
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Some(located_query_terms) => MatchingWords::new(ctx, located_query_terms),
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None => MatchingWords::default(),
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};
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Ok(SearchResult { matching_words, candidates, documents_ids })
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}
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}
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fn check_sort_criteria(ctx: &SearchContext, sort_criteria: Option<&Vec<AscDesc>>) -> Result<()> {
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fn check_sort_criteria(ctx: &SearchContext, sort_criteria: Option<&Vec<AscDesc>>) -> Result<()> {
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@ -402,3 +391,9 @@ fn check_sort_criteria(ctx: &SearchContext, sort_criteria: Option<&Vec<AscDesc>>
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Ok(())
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Ok(())
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}
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}
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pub struct PartialSearchResult {
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pub located_query_terms: Option<Vec<LocatedQueryTerm>>,
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pub candidates: RoaringBitmap,
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pub documents_ids: Vec<DocumentId>,
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}
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