mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-23 21:20:24 +01:00
Remove max values by facet limit for facet distribution
This commit is contained in:
parent
2102e0da6b
commit
8fdf860c17
@ -1,6 +1,6 @@
|
||||
use std::collections::{BTreeMap, HashSet};
|
||||
use std::ops::Bound::Unbounded;
|
||||
use std::{cmp, fmt, mem};
|
||||
use std::{fmt, mem};
|
||||
|
||||
use heed::types::ByteSlice;
|
||||
use roaring::RoaringBitmap;
|
||||
@ -13,14 +13,6 @@ use crate::heed_codec::facet::{
|
||||
use crate::search::facet::{FacetNumberIter, FacetNumberRange, FacetStringIter};
|
||||
use crate::{FieldId, Index, Result};
|
||||
|
||||
/// The default number of values by facets that will
|
||||
/// be fetched from the key-value store.
|
||||
const DEFAULT_VALUES_BY_FACET: usize = 100;
|
||||
|
||||
/// The hard limit in the number of values by facets that will be fetched from
|
||||
/// the key-value store. Searching for more values could slow down the engine.
|
||||
const MAX_VALUES_BY_FACET: usize = 1000;
|
||||
|
||||
/// Threshold on the number of candidates that will make
|
||||
/// the system to choose between one algorithm or another.
|
||||
const CANDIDATES_THRESHOLD: u64 = 3000;
|
||||
@ -28,20 +20,13 @@ const CANDIDATES_THRESHOLD: u64 = 3000;
|
||||
pub struct FacetDistribution<'a> {
|
||||
facets: Option<HashSet<String>>,
|
||||
candidates: Option<RoaringBitmap>,
|
||||
max_values_by_facet: usize,
|
||||
rtxn: &'a heed::RoTxn<'a>,
|
||||
index: &'a Index,
|
||||
}
|
||||
|
||||
impl<'a> FacetDistribution<'a> {
|
||||
pub fn new(rtxn: &'a heed::RoTxn, index: &'a Index) -> FacetDistribution<'a> {
|
||||
FacetDistribution {
|
||||
facets: None,
|
||||
candidates: None,
|
||||
max_values_by_facet: DEFAULT_VALUES_BY_FACET,
|
||||
rtxn,
|
||||
index,
|
||||
}
|
||||
FacetDistribution { facets: None, candidates: None, rtxn, index }
|
||||
}
|
||||
|
||||
pub fn facets<I: IntoIterator<Item = A>, A: AsRef<str>>(&mut self, names: I) -> &mut Self {
|
||||
@ -54,11 +39,6 @@ impl<'a> FacetDistribution<'a> {
|
||||
self
|
||||
}
|
||||
|
||||
pub fn max_values_by_facet(&mut self, max: usize) -> &mut Self {
|
||||
self.max_values_by_facet = cmp::min(max, MAX_VALUES_BY_FACET);
|
||||
self
|
||||
}
|
||||
|
||||
/// There is a small amount of candidates OR we ask for facet string values so we
|
||||
/// decide to iterate over the facet values of each one of them, one by one.
|
||||
fn facet_distribution_from_documents(
|
||||
@ -72,7 +52,6 @@ impl<'a> FacetDistribution<'a> {
|
||||
FacetType::Number => {
|
||||
let mut key_buffer: Vec<_> = field_id.to_be_bytes().iter().copied().collect();
|
||||
|
||||
let distribution_prelength = distribution.len();
|
||||
let db = self.index.field_id_docid_facet_f64s;
|
||||
for docid in candidates.into_iter() {
|
||||
key_buffer.truncate(mem::size_of::<FieldId>());
|
||||
@ -85,9 +64,6 @@ impl<'a> FacetDistribution<'a> {
|
||||
for result in iter {
|
||||
let ((_, _, value), ()) = result?;
|
||||
*distribution.entry(value.to_string()).or_insert(0) += 1;
|
||||
if distribution.len() - distribution_prelength == self.max_values_by_facet {
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -110,10 +86,6 @@ impl<'a> FacetDistribution<'a> {
|
||||
.entry(normalized_value)
|
||||
.or_insert_with(|| (original_value, 0));
|
||||
*count += 1;
|
||||
|
||||
if normalized_distribution.len() == self.max_values_by_facet {
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -144,9 +116,6 @@ impl<'a> FacetDistribution<'a> {
|
||||
if !docids.is_empty() {
|
||||
distribution.insert(value.to_string(), docids.len());
|
||||
}
|
||||
if distribution.len() == self.max_values_by_facet {
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
@ -167,9 +136,6 @@ impl<'a> FacetDistribution<'a> {
|
||||
if !docids.is_empty() {
|
||||
distribution.insert(original.to_string(), docids.len());
|
||||
}
|
||||
if distribution.len() == self.max_values_by_facet {
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
@ -189,9 +155,6 @@ impl<'a> FacetDistribution<'a> {
|
||||
for result in range {
|
||||
let ((_, _, value, _), docids) = result?;
|
||||
distribution.insert(value.to_string(), docids.len());
|
||||
if distribution.len() == self.max_values_by_facet {
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
let iter = self
|
||||
@ -205,9 +168,6 @@ impl<'a> FacetDistribution<'a> {
|
||||
for result in iter {
|
||||
let ((_, normalized_value), (original_value, docids)) = result?;
|
||||
normalized_distribution.insert(normalized_value, (original_value, docids.len()));
|
||||
if distribution.len() == self.max_values_by_facet {
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
let iter = normalized_distribution
|
||||
@ -289,12 +249,11 @@ impl<'a> FacetDistribution<'a> {
|
||||
|
||||
impl fmt::Debug for FacetDistribution<'_> {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
let FacetDistribution { facets, candidates, max_values_by_facet, rtxn: _, index: _ } = self;
|
||||
let FacetDistribution { facets, candidates, rtxn: _, index: _ } = self;
|
||||
|
||||
f.debug_struct("FacetDistribution")
|
||||
.field("facets", facets)
|
||||
.field("candidates", candidates)
|
||||
.field("max_values_by_facet", max_values_by_facet)
|
||||
.finish()
|
||||
}
|
||||
}
|
||||
|
Loading…
x
Reference in New Issue
Block a user