mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-26 20:15:07 +08:00
Fix code visibility issue + unimplemented detail in proximity rule
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parent
23931f8a4f
commit
c4979a2fda
@ -121,18 +121,18 @@ impl<'transaction> DatabaseCache<'transaction> {
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&mut self,
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index: &Index,
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txn: &'transaction RoTxn,
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word1: &str,
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prefix2: &str,
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left_prefix: &str,
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right: &str,
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proximity: u8,
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) -> Result<Option<&'transaction [u8]>> {
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let key = (proximity, prefix2.to_owned(), word1.to_owned());
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let key = (proximity, left_prefix.to_owned(), right.to_owned());
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match self.prefix_word_pair_proximity_docids.entry(key) {
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Entry::Occupied(bitmap_ptr) => Ok(*bitmap_ptr.get()),
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Entry::Vacant(entry) => {
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let bitmap_ptr = index
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.prefix_word_pair_proximity_docids
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.remap_data_type::<ByteSlice>()
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.get(txn, &(proximity, prefix2, word1))?;
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.get(txn, &(proximity, left_prefix, right))?;
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entry.insert(bitmap_ptr);
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Ok(bitmap_ptr)
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}
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@ -194,7 +194,7 @@ impl DetailedSearchLogger {
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for event in self.events.iter() {
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match event {
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SearchEvents::RankingRuleStartIteration { ranking_rule_idx, time, .. } => {
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let elapsed = time.duration_since(prev_time);
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let _elapsed = time.duration_since(prev_time);
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prev_time = *time;
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let parent_activated_id = activated_id(×tamp);
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timestamp.push(0);
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@ -216,7 +216,7 @@ impl DetailedSearchLogger {
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}}").unwrap();
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}
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SearchEvents::RankingRuleNextBucket { ranking_rule_idx, time, universe, candidates } => {
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let elapsed = time.duration_since(prev_time);
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let _elapsed = time.duration_since(prev_time);
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prev_time = *time;
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let old_activated_id = activated_id(×tamp);
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// writeln!(&mut file, "time.{old_activated_id}: {:.2}", elapsed.as_micros() as f64 / 1000.0).unwrap();
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@ -227,7 +227,7 @@ impl DetailedSearchLogger {
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.unwrap();
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}
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SearchEvents::RankingRuleSkipBucket { ranking_rule_idx, candidates, time } => {
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let elapsed = time.duration_since(prev_time);
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let _elapsed = time.duration_since(prev_time);
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prev_time = *time;
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let old_activated_id = activated_id(×tamp);
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// writeln!(&mut file, "time.{old_activated_id}: {:.2}", elapsed.as_micros() as f64 / 1000.0).unwrap();
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@ -239,7 +239,7 @@ impl DetailedSearchLogger {
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.unwrap();
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}
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SearchEvents::RankingRuleEndIteration { ranking_rule_idx, time, .. } => {
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let elapsed = time.duration_since(prev_time);
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let _elapsed = time.duration_since(prev_time);
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prev_time = *time;
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let cur_activated_id = activated_id(×tamp);
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// writeln!(&mut file, "time.{cur_activated_id}: {:.2}", elapsed.as_micros() as f64 / 1000.0).unwrap();
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@ -332,7 +332,7 @@ results.{random} {{
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writeln!(&mut file, "}}").unwrap();
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}
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fn query_node_d2_desc(node_idx: usize, node: &QueryNode, distances: &[u64], file: &mut File) {
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fn query_node_d2_desc(node_idx: usize, node: &QueryNode, _distances: &[u64], file: &mut File) {
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match &node {
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QueryNode::Term(LocatedQueryTerm { value, .. }) => {
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match value {
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@ -1,18 +1,22 @@
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pub mod db_cache;
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pub mod graph_based_ranking_rule;
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pub mod logger;
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pub mod query_graph;
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pub mod query_term;
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pub mod ranking_rule_graph;
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pub mod ranking_rules;
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pub mod resolve_query_graph;
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pub mod sort;
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pub mod words;
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mod db_cache;
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mod graph_based_ranking_rule;
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mod logger;
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mod query_graph;
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mod query_term;
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mod ranking_rule_graph;
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mod ranking_rules;
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mod resolve_query_graph;
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mod sort;
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mod words;
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use charabia::Tokenize;
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use heed::RoTxn;
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pub use query_graph::*;
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pub use ranking_rules::*;
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use query_graph::{QueryGraph, QueryNode};
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pub use ranking_rules::{
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execute_search, RankingRule, RankingRuleOutput, RankingRuleOutputIter,
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RankingRuleOutputIterWrapper, RankingRuleQueryTrait,
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};
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use roaring::RoaringBitmap;
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use self::db_cache::DatabaseCache;
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@ -6,6 +6,10 @@ use roaring::RoaringBitmap;
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use super::cheapest_paths::Path;
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// What is PathsMap used for?
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// For the empty_prefixes field in the EmptyPathsCache only :/
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// but it could be used for more, like efficient computing of a set of paths
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#[derive(Debug, Clone)]
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pub struct PathsMap<V> {
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@ -13,16 +13,14 @@ use crate::{Index, Result};
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pub fn visit_from_node(from_node: &QueryNode) -> Result<Option<(WordDerivations, i8)>> {
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Ok(Some(match from_node {
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QueryNode::Term(LocatedQueryTerm { value: value1, positions: pos1 }) => {
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match value1 {
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QueryTerm::Word { derivations } => (derivations.clone(), *pos1.end()),
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QueryTerm::Phrase { phrase: phrase1 } => {
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// TODO: remove second unwrap
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let original = phrase1.words.last().unwrap().as_ref().unwrap().clone();
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QueryNode::Term(LocatedQueryTerm { value: value1, positions: pos1 }) => match value1 {
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QueryTerm::Word { derivations } => (derivations.clone(), *pos1.end()),
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QueryTerm::Phrase { phrase: phrase1 } => {
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if let Some(original) = phrase1.words.last().unwrap().as_ref() {
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(
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WordDerivations {
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original: original.clone(),
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zero_typo: vec![original],
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zero_typo: vec![original.to_owned()],
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one_typo: vec![],
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two_typos: vec![],
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use_prefix_db: false,
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@ -31,9 +29,12 @@ pub fn visit_from_node(from_node: &QueryNode) -> Result<Option<(WordDerivations,
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},
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*pos1.end(),
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)
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} else {
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// No word pairs if the phrase does not have a regular word as its last term
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return Ok(None);
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}
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}
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}
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},
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QueryNode::Start => (
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WordDerivations {
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original: String::new(),
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@ -68,26 +69,27 @@ pub fn visit_to_node<'transaction, 'from_data>(
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let (derivations2, pos2, ngram_len2) = match value2 {
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QueryTerm::Word { derivations } => (derivations.clone(), *pos2.start(), pos2.len()),
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QueryTerm::Phrase { phrase: phrase2 } => {
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// TODO: remove second unwrap
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let original = phrase2.words.last().unwrap().as_ref().unwrap().clone();
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(
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WordDerivations {
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original: original.clone(),
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zero_typo: vec![original],
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one_typo: vec![],
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two_typos: vec![],
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use_prefix_db: false,
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synonyms: vec![],
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split_words: None,
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},
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*pos2.start(),
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1,
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)
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if let Some(original) = phrase2.words.first().unwrap().as_ref() {
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(
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WordDerivations {
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original: original.clone(),
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zero_typo: vec![original.to_owned()],
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one_typo: vec![],
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two_typos: vec![],
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use_prefix_db: false,
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synonyms: vec![],
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split_words: None,
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},
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*pos2.start(),
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1,
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)
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} else {
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// No word pairs if the phrase does not have a regular word as its first term
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return Ok(vec![]);
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}
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}
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};
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// TODO: here we would actually do it for each combination of word1 and word2
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// and take the union of them
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if pos1 + 1 != pos2 {
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// TODO: how should this actually be handled?
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// We want to effectively ignore this pair of terms
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@ -130,19 +132,37 @@ pub fn visit_to_node<'transaction, 'from_data>(
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right_prefix: original_word_2.to_owned(),
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});
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}
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if db_cache
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.get_prefix_word_pair_proximity_docids(
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index,
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txn,
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original_word_2.as_str(),
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word1.as_str(),
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proximity as u8 - 1,
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)?
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.is_some()
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{
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cost_proximity_word_pairs
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.entry(cost)
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.or_default()
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.entry(proximity as u8)
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.or_default()
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.push(WordPair::WordPrefixSwapped {
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left_prefix: original_word_2.to_owned(),
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right: word1.to_owned(),
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});
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}
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}
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}
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}
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let derivations2 = derivations2.all_derivations_except_prefix_db();
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// TODO: safeguard in case the cartesian product is too large?
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// TODO: add safeguard in case the cartesian product is too large?
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let product_derivations = derivations1.cartesian_product(derivations2);
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for (word1, word2) in product_derivations {
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for proximity in 1..=(8 - ngram_len2) {
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let cost = (proximity + ngram_len2 - 1) as u8;
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// TODO: do the opposite way with a proximity penalty as well!
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// search for (word2, word1, proximity-1), I guess?
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if db_cache
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.get_word_pair_proximity_docids(index, txn, word1, word2, proximity as u8)?
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.is_some()
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@ -154,6 +174,18 @@ pub fn visit_to_node<'transaction, 'from_data>(
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.or_default()
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.push(WordPair::Words { left: word1.to_owned(), right: word2.to_owned() });
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}
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if proximity > 1
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&& db_cache
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.get_word_pair_proximity_docids(index, txn, word2, word1, proximity as u8 - 1)?
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.is_some()
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{
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cost_proximity_word_pairs
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.entry(cost)
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.or_default()
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.entry(proximity as u8 - 1)
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.or_default()
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.push(WordPair::Words { left: word2.to_owned(), right: word1.to_owned() });
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}
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}
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}
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let mut new_edges = cost_proximity_word_pairs
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@ -20,11 +20,8 @@ pub fn compute_docids<'transaction>(
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}
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WordPair::WordPrefix { left, right_prefix } => db_cache
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.get_word_prefix_pair_proximity_docids(index, txn, left, right_prefix, *proximity),
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WordPair::WordsSwapped { left, right } => {
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db_cache.get_word_pair_proximity_docids(index, txn, left, right, *proximity)
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}
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WordPair::WordPrefixSwapped { left, right_prefix } => db_cache
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.get_prefix_word_pair_proximity_docids(index, txn, left, right_prefix, *proximity),
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WordPair::WordPrefixSwapped { left_prefix, right } => db_cache
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.get_prefix_word_pair_proximity_docids(index, txn, left_prefix, right, *proximity),
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}?;
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let bitmap =
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bytes.map(CboRoaringBitmapCodec::deserialize_from).transpose()?.unwrap_or_default();
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@ -18,9 +18,8 @@ use crate::{Index, Result};
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#[derive(Debug, Clone)]
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pub enum WordPair {
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Words { left: String, right: String },
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WordsSwapped { left: String, right: String },
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WordPrefix { left: String, right_prefix: String },
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WordPrefixSwapped { left: String, right_prefix: String },
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WordPrefixSwapped { left_prefix: String, right: String },
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}
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#[derive(Clone)]
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@ -24,9 +24,13 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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mut paths: Vec<Vec<u32>>,
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) -> Result<RoaringBitmap> {
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paths.sort_unstable();
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// let mut needs_filtering_empty_edges = false;
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// let mut needs_filtering_empty_prefix = false;
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// let mut needs_filtering_empty_couple_edges = false;
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let mut needs_filtering = false;
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let mut path_bitmaps = vec![];
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'path_loop: loop {
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// TODO: distinguish between empty_edges, empty_prefix, and empty_couple_edges filtering
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if needs_filtering {
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for path in paths.iter_mut() {
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if empty_paths_cache.path_is_empty(path) {
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@ -61,11 +65,13 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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self.remove_edge(edge_index);
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edge_docids_cache.cache.remove(&edge_index);
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needs_filtering = true;
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// needs_filtering_empty_edges = true;
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// 3. continue executing this function again on the remaining paths
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continue 'path_loop;
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} else {
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path_bitmap &= edge_docids;
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if path_bitmap.is_disjoint(universe) {
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// needs_filtering_empty_prefix = true;
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needs_filtering = true;
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empty_paths_cache.forbid_prefix(&visited_edges);
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// if the intersection between this edge and any
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@ -76,6 +82,7 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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{
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let intersection = edge_docids & edge_docids2;
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if intersection.is_disjoint(universe) {
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// needs_filtering_empty_couple_edges = true;
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empty_paths_cache
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.forbid_couple_edges(*edge_index2, edge_index);
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}
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@ -98,20 +98,6 @@ pub struct RankingRuleOutput<Q> {
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pub candidates: RoaringBitmap,
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}
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#[allow(unused)]
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pub fn get_start_universe<'transaction>(
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index: &Index,
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txn: &'transaction RoTxn,
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db_cache: &mut DatabaseCache<'transaction>,
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query_graph: &QueryGraph,
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term_matching_strategy: TermsMatchingStrategy,
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// filters: Filters,
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) -> Result<RoaringBitmap> {
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// TODO: actually compute the universe from the query graph
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let universe = index.documents_ids(txn).unwrap();
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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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