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https://github.com/meilisearch/MeiliSearch
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feat(search, criteria): introduce a percentage threshold to the asc/desc
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9ad8b74111
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@ -19,6 +19,10 @@ 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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pub struct AscDesc<'t> {
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index: &'t Index,
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rtxn: &'t heed::RoTxn<'t>,
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@ -237,7 +241,7 @@ fn field_id_facet_type(
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/// Returns an iterator over groups of the given candidates in ascending or descending order.
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///
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/// It will either use an iterative or a recusrsive method on the whole facet database depending
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/// It will either use an iterative or a recursive method on the whole facet database depending
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/// on the number of candidates to rank.
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fn facet_ordered<'t>(
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index: &'t Index,
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@ -248,9 +252,11 @@ 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() <= 1000 {
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if candidates.len() / number_of_documents * 100 <= 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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@ -266,7 +272,7 @@ 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() <= 1000 {
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if candidates.len() / number_of_documents * 100 <= 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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