mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-30 00:34:26 +01:00
Update resolve_graph module to work with lazy query terms
This commit is contained in:
parent
d0f048c068
commit
b96a682f16
@ -28,12 +28,13 @@ pub use logger::{DefaultSearchLogger, SearchLogger};
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use query_graph::{QueryGraph, QueryNode, QueryNodeData};
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use query_graph::{QueryGraph, QueryNode, QueryNodeData};
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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, 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::{resolve_query_graph, QueryTermDocIdsCache};
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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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use words::Words;
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use words::Words;
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use self::interner::Interner;
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use self::interner::Interner;
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use self::ranking_rules::{BoxRankingRule, RankingRule};
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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::sort::Sort;
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use self::sort::Sort;
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use crate::{
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use crate::{
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AscDesc, Filter, Index, MatchingWords, Member, Result, SearchResult, TermsMatchingStrategy,
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AscDesc, Filter, Index, MatchingWords, Member, Result, SearchResult, TermsMatchingStrategy,
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@ -48,8 +49,7 @@ pub struct SearchContext<'ctx> {
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pub word_interner: DedupInterner<String>,
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pub word_interner: DedupInterner<String>,
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pub phrase_interner: DedupInterner<Phrase>,
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pub phrase_interner: DedupInterner<Phrase>,
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pub term_interner: Interner<QueryTerm>,
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pub term_interner: Interner<QueryTerm>,
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// think about memory usage of that field (roaring bitmaps in a hashmap)
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pub phrase_docids: PhraseDocIdsCache,
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pub term_docids: QueryTermDocIdsCache,
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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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@ -60,7 +60,7 @@ impl<'ctx> SearchContext<'ctx> {
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word_interner: <_>::default(),
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word_interner: <_>::default(),
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phrase_interner: <_>::default(),
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phrase_interner: <_>::default(),
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term_interner: <_>::default(),
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term_interner: <_>::default(),
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term_docids: <_>::default(),
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phrase_docids: <_>::default(),
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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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@ -103,7 +103,7 @@ fn resolve_maximally_reduced_query_graph(
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}
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}
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}
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}
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logger.query_for_universe(&graph);
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logger.query_for_universe(&graph);
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let docids = resolve_query_graph(ctx, &graph, universe)?;
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let docids = compute_query_graph_docids(ctx, &graph, universe)?;
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Ok(docids)
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Ok(docids)
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}
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}
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@ -319,7 +319,7 @@ pub fn execute_search(
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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(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(ctx, query_terms)?;
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let graph = QueryGraph::from_query(ctx, &query_terms)?;
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check_sort_criteria(ctx, sort_criteria.as_ref())?;
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check_sort_criteria(ctx, sort_criteria.as_ref())?;
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@ -3,106 +3,63 @@
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use std::collections::VecDeque;
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use std::collections::VecDeque;
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use fxhash::FxHashMap;
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use fxhash::FxHashMap;
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use heed::{BytesDecode, RoTxn};
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use heed::BytesDecode;
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use roaring::RoaringBitmap;
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use roaring::RoaringBitmap;
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use super::db_cache::DatabaseCache;
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use super::interner::Interned;
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use super::interner::{DedupInterner, Interned};
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use super::query_graph::QueryNodeData;
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use super::query_graph::QueryNodeData;
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use super::query_term::{Phrase, QueryTerm};
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use super::query_term::{Phrase, QueryTermSubset};
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use super::small_bitmap::SmallBitmap;
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use super::small_bitmap::SmallBitmap;
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use super::{QueryGraph, SearchContext};
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use super::{QueryGraph, SearchContext};
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use crate::{CboRoaringBitmapCodec, Index, Result, RoaringBitmapCodec};
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use crate::search::new::query_term::LocatedQueryTermSubset;
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use crate::{CboRoaringBitmapCodec, Result, RoaringBitmapCodec};
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#[derive(Default)]
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#[derive(Default)]
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pub struct QueryTermDocIdsCache {
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pub struct PhraseDocIdsCache {
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pub phrases: FxHashMap<Interned<Phrase>, RoaringBitmap>,
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pub cache: FxHashMap<Interned<Phrase>, RoaringBitmap>,
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pub terms: FxHashMap<Interned<QueryTerm>, RoaringBitmap>,
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}
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}
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impl QueryTermDocIdsCache {
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impl<'ctx> SearchContext<'ctx> {
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/// Get the document ids associated with the given phrase
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/// Get the document ids associated with the given phrase
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pub fn get_phrase_docids<'s, 'ctx>(
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pub fn get_phrase_docids(&mut self, phrase: Interned<Phrase>) -> Result<&RoaringBitmap> {
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&'s mut self,
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if self.phrase_docids.cache.contains_key(&phrase) {
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index: &Index,
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return Ok(&self.phrase_docids.cache[&phrase]);
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txn: &'ctx RoTxn,
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db_cache: &mut DatabaseCache<'ctx>,
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word_interner: &DedupInterner<String>,
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phrase_interner: &DedupInterner<Phrase>,
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phrase: Interned<Phrase>,
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) -> Result<&'s RoaringBitmap> {
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if self.phrases.contains_key(&phrase) {
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return Ok(&self.phrases[&phrase]);
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};
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};
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let docids = resolve_phrase(index, txn, db_cache, word_interner, phrase_interner, phrase)?;
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let docids = compute_phrase_docids(self, phrase)?;
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let _ = self.phrases.insert(phrase, docids);
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let _ = self.phrase_docids.cache.insert(phrase, docids);
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let docids = &self.phrases[&phrase];
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let docids = &self.phrase_docids.cache[&phrase];
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Ok(docids)
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Ok(docids)
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}
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}
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/// Get the document ids associated with the given term
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}
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pub fn get_query_term_docids<'s, 'ctx>(
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pub fn compute_query_term_subset_docids(
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&'s mut self,
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ctx: &mut SearchContext,
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index: &Index,
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term: &QueryTermSubset,
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txn: &'ctx RoTxn,
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) -> Result<RoaringBitmap> {
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db_cache: &mut DatabaseCache<'ctx>,
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word_interner: &DedupInterner<String>,
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term_interner: &DedupInterner<QueryTerm>,
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phrase_interner: &DedupInterner<Phrase>,
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term_interned: Interned<QueryTerm>,
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) -> Result<&'s RoaringBitmap> {
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if self.terms.contains_key(&term_interned) {
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return Ok(&self.terms[&term_interned]);
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};
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let mut docids = RoaringBitmap::new();
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let mut docids = RoaringBitmap::new();
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// TODO: use a MultiOps?
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for word in term.all_single_words_except_prefix_db(ctx)? {
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let term = term_interner.get(term_interned);
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if let Some(word_docids) = ctx.get_db_word_docids(word)? {
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for word in term.all_single_words_except_prefix_db() {
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docids |= RoaringBitmapCodec::bytes_decode(word_docids).ok_or(heed::Error::Decoding)?;
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if let Some(word_docids) = db_cache.get_word_docids(index, txn, word_interner, word)? {
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docids |=
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RoaringBitmapCodec::bytes_decode(word_docids).ok_or(heed::Error::Decoding)?;
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}
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}
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}
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}
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for phrase in term.all_phrases() {
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for phrase in term.all_phrases(ctx)? {
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docids |= self.get_phrase_docids(
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docids |= ctx.get_phrase_docids(phrase)?;
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index,
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txn,
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db_cache,
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word_interner,
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phrase_interner,
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phrase,
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)?;
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}
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}
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if let Some(prefix) = term.use_prefix_db {
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if let Some(prefix) = term.use_prefix_db(ctx) {
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if let Some(prefix_docids) =
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if let Some(prefix_docids) = ctx.get_db_word_prefix_docids(prefix)? {
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db_cache.get_word_prefix_docids(index, txn, word_interner, prefix)?
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{
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docids |=
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docids |=
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RoaringBitmapCodec::bytes_decode(prefix_docids).ok_or(heed::Error::Decoding)?;
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RoaringBitmapCodec::bytes_decode(prefix_docids).ok_or(heed::Error::Decoding)?;
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}
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}
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}
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}
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let _ = self.terms.insert(term_interned, docids);
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let docids = &self.terms[&term_interned];
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Ok(docids)
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Ok(docids)
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}
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}
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}
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pub fn resolve_query_graph(
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pub fn compute_query_graph_docids(
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ctx: &mut SearchContext,
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ctx: &mut SearchContext,
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q: &QueryGraph,
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q: &QueryGraph,
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universe: &RoaringBitmap,
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universe: &RoaringBitmap,
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) -> Result<RoaringBitmap> {
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) -> Result<RoaringBitmap> {
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let SearchContext {
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// TODO: there must be a faster way to compute this big
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index,
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txn,
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db_cache,
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word_interner,
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phrase_interner,
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term_interner,
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term_docids: query_term_docids,
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..
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} = ctx;
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// TODO: there is a faster way to compute this big
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// roaring bitmap expression
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// roaring bitmap expression
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let mut nodes_resolved = SmallBitmap::for_interned_values_in(&q.nodes);
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let mut nodes_resolved = SmallBitmap::for_interned_values_in(&q.nodes);
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@ -125,17 +82,13 @@ pub fn resolve_query_graph(
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}
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}
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let node_docids = match &node.data {
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let node_docids = match &node.data {
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QueryNodeData::Term(located_term) => {
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QueryNodeData::Term(LocatedQueryTermSubset {
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let term_docids = query_term_docids.get_query_term_docids(
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term_subset,
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index,
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positions: _,
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txn,
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term_ids: _,
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db_cache,
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}) => {
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word_interner,
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let phrase_docids = compute_query_term_subset_docids(ctx, term_subset)?;
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term_interner,
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predecessors_docids & phrase_docids
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phrase_interner,
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located_term.value,
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)?;
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predecessors_docids & term_docids
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}
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}
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QueryNodeData::Deleted => {
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QueryNodeData::Deleted => {
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panic!()
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panic!()
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@ -163,15 +116,11 @@ pub fn resolve_query_graph(
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panic!()
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panic!()
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}
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}
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pub fn resolve_phrase<'ctx>(
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pub fn compute_phrase_docids(
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index: &Index,
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ctx: &mut SearchContext,
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txn: &'ctx RoTxn,
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db_cache: &mut DatabaseCache<'ctx>,
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word_interner: &DedupInterner<String>,
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phrase_interner: &DedupInterner<Phrase>,
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phrase: Interned<Phrase>,
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phrase: Interned<Phrase>,
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) -> Result<RoaringBitmap> {
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) -> Result<RoaringBitmap> {
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let Phrase { words } = phrase_interner.get(phrase).clone();
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let Phrase { words } = ctx.phrase_interner.get(phrase).clone();
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let mut candidates = RoaringBitmap::new();
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let mut candidates = RoaringBitmap::new();
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let mut first_iter = true;
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let mut first_iter = true;
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let winsize = words.len().min(3);
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let winsize = words.len().min(3);
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@ -195,14 +144,7 @@ pub fn resolve_phrase<'ctx>(
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.filter_map(|(index, word)| word.as_ref().map(|word| (index, word)))
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.filter_map(|(index, word)| word.as_ref().map(|word| (index, word)))
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{
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{
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if dist == 0 {
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if dist == 0 {
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match db_cache.get_word_pair_proximity_docids(
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match ctx.get_db_word_pair_proximity_docids(s1, s2, 1)? {
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index,
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txn,
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word_interner,
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s1,
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s2,
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1,
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)? {
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Some(m) => bitmaps.push(CboRoaringBitmapCodec::deserialize_from(m)?),
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Some(m) => bitmaps.push(CboRoaringBitmapCodec::deserialize_from(m)?),
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// If there are no documents for this pair, there will be no
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// If there are no documents for this pair, there will be no
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// results for the phrase query.
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// results for the phrase query.
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@ -211,14 +153,9 @@ pub fn resolve_phrase<'ctx>(
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} else {
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} else {
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let mut bitmap = RoaringBitmap::new();
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let mut bitmap = RoaringBitmap::new();
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for dist in 0..=dist {
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for dist in 0..=dist {
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if let Some(m) = db_cache.get_word_pair_proximity_docids(
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if let Some(m) =
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index,
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ctx.get_db_word_pair_proximity_docids(s1, s2, dist as u8 + 1)?
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txn,
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{
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word_interner,
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s1,
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s2,
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dist as u8 + 1,
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)? {
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bitmap |= CboRoaringBitmapCodec::deserialize_from(m)?;
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bitmap |= CboRoaringBitmapCodec::deserialize_from(m)?;
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}
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}
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}
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}
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@ -4,7 +4,7 @@ use roaring::RoaringBitmap;
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use super::logger::SearchLogger;
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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::QueryNodeData;
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use super::resolve_query_graph::resolve_query_graph;
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use super::resolve_query_graph::compute_query_graph_docids;
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use super::{QueryGraph, RankingRule, RankingRuleOutput, SearchContext};
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use super::{QueryGraph, RankingRule, RankingRuleOutput, SearchContext};
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use crate::{Result, TermsMatchingStrategy};
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use crate::{Result, TermsMatchingStrategy};
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@ -80,7 +80,7 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for Words {
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logger.log_words_state(query_graph);
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logger.log_words_state(query_graph);
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let this_bucket = resolve_query_graph(ctx, query_graph, universe)?;
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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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let child_query_graph = query_graph.clone();
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loop {
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loop {
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