Merge pull request #127 from shekhirin/main

feat(search, criteria): const candidates threshold
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Clément Renault 2021-03-30 14:07:19 +02:00 committed by GitHub
commit 5a1d3609a9
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@ -19,6 +19,10 @@ use crate::search::WordDerivationsCache;
use crate::{FieldsIdsMap, FieldId, Index};
use super::{Criterion, CriterionResult};
/// Threshold on the number of candidates that will make
/// the system to choose between one algorithm or another.
const CANDIDATES_THRESHOLD: u64 = 1000;
pub struct AscDesc<'t> {
index: &'t Index,
rtxn: &'t heed::RoTxn<'t>,
@ -237,7 +241,7 @@ fn field_id_facet_type(
/// Returns an iterator over groups of the given candidates in ascending or descending order.
///
/// It will either use an iterative or a recusrsive method on the whole facet database depending
/// It will either use an iterative or a recursive method on the whole facet database depending
/// on the number of candidates to rank.
fn facet_ordered<'t>(
index: &'t Index,
@ -250,7 +254,7 @@ fn facet_ordered<'t>(
{
match facet_type {
FacetType::Float => {
if candidates.len() <= 1000 {
if candidates.len() <= CANDIDATES_THRESHOLD {
let iter = iterative_facet_ordered_iter::<FieldDocIdFacetF64Codec, f64, OrderedFloat<f64>>(
index, rtxn, field_id, ascending, candidates,
)?;
@ -266,7 +270,7 @@ fn facet_ordered<'t>(
}
},
FacetType::Integer => {
if candidates.len() <= 1000 {
if candidates.len() <= CANDIDATES_THRESHOLD {
let iter = iterative_facet_ordered_iter::<FieldDocIdFacetI64Codec, i64, i64>(
index, rtxn, field_id, ascending, candidates,
)?;