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https://github.com/meilisearch/MeiliSearch
synced 2024-11-30 00:34:26 +01:00
use fixed number of candidates as a threshold
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parent
a776ec9718
commit
1e3f05db8f
@ -19,9 +19,9 @@ use crate::search::WordDerivationsCache;
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use crate::{FieldsIdsMap, FieldId, Index};
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use super::{Criterion, CriterionResult};
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/// If the number of candidates is lower or equal to the specified % of total number of documents,
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/// use simple sort. Otherwise, use facet database.
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const CANDIDATES_THRESHOLD: f64 = 0.1;
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/// Threshold on the number of candidates that will make
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/// the system to choose between one algorithm or another.
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const CANDIDATES_THRESHOLD: u64 = 1000;
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pub struct AscDesc<'t> {
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index: &'t Index,
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@ -252,11 +252,9 @@ fn facet_ordered<'t>(
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candidates: RoaringBitmap,
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) -> anyhow::Result<Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>>
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{
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let number_of_documents = index.number_of_documents(&rtxn)? as f64;
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match facet_type {
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FacetType::Float => {
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if candidates.len() as f64 / number_of_documents * 100.0 <= CANDIDATES_THRESHOLD {
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if candidates.len() <= CANDIDATES_THRESHOLD {
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let iter = iterative_facet_ordered_iter::<FieldDocIdFacetF64Codec, f64, OrderedFloat<f64>>(
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index, rtxn, field_id, ascending, candidates,
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)?;
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@ -272,7 +270,7 @@ fn facet_ordered<'t>(
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}
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},
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FacetType::Integer => {
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if candidates.len() as f64 / number_of_documents * 100.0 <= CANDIDATES_THRESHOLD {
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if candidates.len() <= CANDIDATES_THRESHOLD {
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let iter = iterative_facet_ordered_iter::<FieldDocIdFacetI64Codec, i64, i64>(
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index, rtxn, field_id, ascending, candidates,
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)?;
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