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https://github.com/meilisearch/MeiliSearch
synced 2024-11-22 21:04:27 +01:00
Do less useless intersections
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0ca1a4e805
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41f51adbec
@ -1,3 +1,4 @@
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use heed::types::Bytes;
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use roaring::{MultiOps, RoaringBitmap};
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use super::query_graph::QueryGraph;
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@ -5,7 +6,7 @@ use super::ranking_rules::{RankingRule, RankingRuleOutput};
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use crate::score_details::{self, ScoreDetails};
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use crate::search::new::query_graph::QueryNodeData;
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use crate::search::new::query_term::ExactTerm;
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use crate::{Result, SearchContext, SearchLogger};
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use crate::{CboRoaringBitmapCodec, Result, SearchContext, SearchLogger};
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/// A ranking rule that produces 3 disjoint buckets:
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///
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@ -173,8 +174,7 @@ impl State {
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let bucketed_position = crate::bucketed_position(position + offset);
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let word_position_docids = ctx
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.get_db_word_position_docids(Some(universe), *word, bucketed_position)?
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.unwrap_or_default()
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& universe;
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.unwrap_or_default();
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candidates &= word_position_docids;
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if candidates.is_empty() {
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return Ok(State::Empty(query_graph.clone()));
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@ -205,16 +205,24 @@ impl State {
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.unwrap_or_default())
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}),
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)?;
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// TODO Why not doing this intersection in the MultiOps above?
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intersection &= &candidates;
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if !intersection.is_empty() {
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// Although not really worth it in terms of performance,
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// if would be good to put this in cache for the sake of consistency
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let candidates_with_exact_word_count = if count_all_positions < u8::MAX as usize {
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ctx.index
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let bitmap_bytes = ctx
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.index
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.field_id_word_count_docids
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.get(ctx.txn, &(fid, count_all_positions as u8))?
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.unwrap_or_default()
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& universe
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.remap_data_type::<Bytes>()
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.get(ctx.txn, &(fid, count_all_positions as u8))?;
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match bitmap_bytes {
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Some(bytes) => {
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CboRoaringBitmapCodec::intersection_with_serialized(bytes, universe)?
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}
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None => RoaringBitmap::default(),
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}
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} else {
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RoaringBitmap::default()
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};
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@ -237,6 +245,8 @@ impl State {
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let (state, output) = match state {
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State::Uninitialized => (state, None),
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State::ExactAttribute(query_graph, candidates_per_attribute) => {
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// TODO it can be much faster to do the intersections before the unions...
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// or maybe the candidates_per_attribute are not containing anything outside universe
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let mut candidates = MultiOps::union(candidates_per_attribute.iter().map(
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|FieldCandidates { start_with_exact, exact_word_count }| {
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start_with_exact & exact_word_count
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@ -255,6 +265,8 @@ impl State {
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)
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}
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State::AttributeStarts(query_graph, candidates_per_attribute) => {
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// TODO it can be much faster to do the intersections before the unions...
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// or maybe the candidates_per_attribute are not containing anything outside universe
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let mut candidates = MultiOps::union(candidates_per_attribute.into_iter().map(
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|FieldCandidates { mut start_with_exact, exact_word_count }| {
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start_with_exact -= exact_word_count;
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@ -29,14 +29,12 @@ impl RankingRuleGraphTrait for FidGraph {
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let FidCondition { term, .. } = condition;
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let docids = if let Some(fid) = condition.fid {
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// maybe compute_query_term_subset_docids_within_field_id should accept a universe as argument
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let docids = compute_query_term_subset_docids_within_field_id(
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compute_query_term_subset_docids_within_field_id(
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ctx,
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Some(universe),
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&term.term_subset,
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fid,
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)?;
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docids & universe
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)?
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} else {
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RoaringBitmap::new()
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};
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@ -28,10 +28,10 @@ impl RankingRuleGraphTrait for PositionGraph {
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) -> Result<ComputedCondition> {
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let PositionCondition { term, positions } = condition;
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let mut docids = RoaringBitmap::new();
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// TODO use MultiOps to do the big union
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for position in positions {
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// maybe compute_query_term_subset_docids_within_position should accept a universe as argument
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docids |= universe
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& compute_query_term_subset_docids_within_position(
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docids |= compute_query_term_subset_docids_within_position(
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ctx,
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Some(universe),
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&term.term_subset,
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@ -143,7 +143,6 @@ fn compute_prefix_edges(
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right_prefix,
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forward_proximity,
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)? {
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let new_docids = &universe & new_docids;
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if !new_docids.is_empty() {
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used_left_words.insert(left_word);
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used_right_prefix.insert(right_prefix);
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@ -153,13 +152,13 @@ fn compute_prefix_edges(
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// No swapping when computing the proximity between a phrase and a word
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if left_phrase.is_none() {
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// TODO check that the fact that the universe always changes is not an issue, e.g. caching stuff.
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if let Some(new_docids) = ctx.get_db_prefix_word_pair_proximity_docids(
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Some(&universe),
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right_prefix,
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left_word,
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backward_proximity,
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)? {
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let new_docids = &universe & new_docids;
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if !new_docids.is_empty() {
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used_left_words.insert(left_word);
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used_right_prefix.insert(right_prefix);
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@ -185,9 +184,7 @@ fn compute_non_prefix_edges(
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let mut universe = universe.clone();
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for phrase in left_phrase.iter().chain(right_phrase.iter()).copied() {
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// TODO do the intersection in the method, again!
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let phrase_docids = ctx.get_phrase_docids(Some(&universe), phrase)?;
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universe &= phrase_docids;
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universe &= ctx.get_phrase_docids(Some(&universe), phrase)?;
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if universe.is_empty() {
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return Ok(());
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}
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@ -251,6 +251,7 @@ pub fn compute_phrase_docids(
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// We sort the bitmaps so that we perform the small intersections first, which is faster.
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bitmaps.sort_unstable_by_key(|a| a.len());
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// TODO use MultiOps intersection which and remove the above sort
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for bitmap in bitmaps {
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candidates &= bitmap;
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