mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-22 21:04:27 +01:00
Rework the Asc/Desc criteria to be facet iterator based
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parent
a58d2b6137
commit
3c76b3548d
@ -2,8 +2,10 @@ use std::collections::HashMap;
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use std::mem::take;
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use anyhow::{bail, Context as _};
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use heed::{BytesDecode, BytesEncode};
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use itertools::Itertools;
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use log::debug;
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use num_traits::Bounded;
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use ordered_float::OrderedFloat;
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use roaring::RoaringBitmap;
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@ -24,7 +26,7 @@ pub struct AscDesc<'t> {
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facet_type: FacetType,
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ascending: bool,
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query_tree: Option<Operation>,
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candidates: RoaringBitmap,
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candidates: Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>,
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bucket_candidates: RoaringBitmap,
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faceted_candidates: RoaringBitmap,
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parent: Option<Box<dyn Criterion + 't>>,
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@ -107,7 +109,7 @@ impl<'t> AscDesc<'t> {
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facet_type,
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ascending,
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query_tree,
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candidates,
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candidates: facet_ordered(index, rtxn, field_id, facet_type, ascending, candidates)?,
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faceted_candidates,
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bucket_candidates: RoaringBitmap::new(),
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parent: None,
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@ -134,7 +136,7 @@ impl<'t> AscDesc<'t> {
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facet_type,
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ascending,
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query_tree: None,
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candidates: RoaringBitmap::new(),
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candidates: Box::new(std::iter::empty()),
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faceted_candidates: index.faceted_documents_ids(rtxn, field_id)?,
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bucket_candidates: RoaringBitmap::new(),
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parent: Some(parent),
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@ -145,23 +147,28 @@ impl<'t> AscDesc<'t> {
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impl<'t> Criterion for AscDesc<'t> {
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fn next(&mut self) -> anyhow::Result<Option<CriterionResult>> {
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loop {
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debug!("Facet {}({}) iteration ({:?})",
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if self.ascending { "Asc" } else { "Desc" }, self.field_name, self.candidates,
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debug!("Facet {}({}) iteration",
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if self.ascending { "Asc" } else { "Desc" }, self.field_name
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);
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match &mut self.candidates {
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candidates if candidates.is_empty() => {
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match self.candidates.next().transpose()? {
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None => {
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let query_tree = self.query_tree.take();
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let candidates = take(&mut self.candidates);
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let bucket_candidates = take(&mut self.bucket_candidates);
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match self.parent.as_mut() {
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Some(parent) => {
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match parent.next()? {
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Some(CriterionResult { query_tree, mut candidates, bucket_candidates }) => {
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self.query_tree = query_tree;
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candidates.intersect_with(&self.faceted_candidates);
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self.candidates = candidates;
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self.candidates = facet_ordered(
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self.index,
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self.rtxn,
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self.field_id,
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self.facet_type,
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self.ascending,
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candidates,
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)?;
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self.bucket_candidates = bucket_candidates;
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},
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None => return Ok(None),
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@ -172,28 +179,21 @@ impl<'t> Criterion for AscDesc<'t> {
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},
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}
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return Ok(Some(CriterionResult { query_tree, candidates, bucket_candidates }));
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return Ok(Some(CriterionResult {
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query_tree,
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candidates: RoaringBitmap::new(),
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bucket_candidates,
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}));
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},
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candidates => {
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Some(candidates) => {
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let bucket_candidates = match self.parent {
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Some(_) => take(&mut self.bucket_candidates),
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None => candidates.clone(),
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};
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let found_candidates = facet_ordered(
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self.index,
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self.rtxn,
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self.field_id,
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self.facet_type,
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self.ascending,
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candidates.clone(),
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)?;
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candidates.difference_with(&found_candidates);
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return Ok(Some(CriterionResult {
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query_tree: self.query_tree.clone(),
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candidates: found_candidates,
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candidates,
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bucket_candidates,
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}));
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},
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@ -217,86 +217,98 @@ fn field_id_facet_type(
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Ok((id, *facet_type))
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}
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fn facet_ordered(
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index: &Index,
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rtxn: &heed::RoTxn,
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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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/// 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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rtxn: &'t heed::RoTxn,
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field_id: FieldId,
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facet_type: FacetType,
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ascending: bool,
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candidates: RoaringBitmap,
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) -> anyhow::Result<RoaringBitmap>
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) -> anyhow::Result<Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>>
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{
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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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let db = index.field_id_docid_facet_values.remap_key_type::<FieldDocIdFacetF64Codec>();
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let mut docids_values = Vec::with_capacity(candidates.len() as usize);
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for docid in candidates.iter() {
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let left = (field_id, docid, f64::MIN);
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let right = (field_id, docid, f64::MAX);
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let mut iter = db.range(rtxn, &(left..=right))?;
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let entry = if ascending { iter.next() } else { iter.last() };
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if let Some(((_, _, value), ())) = entry.transpose()? {
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docids_values.push((docid, OrderedFloat(value)));
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}
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}
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docids_values.sort_unstable_by_key(|(_, value)| *value);
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let iter = docids_values.into_iter();
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let iter = if ascending {
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Box::new(iter) as Box<dyn Iterator<Item = _>>
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} else {
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Box::new(iter.rev())
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};
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match iter.group_by(|(_, v)| *v).into_iter().next() {
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Some((_, ids)) => Ok(ids.map(|(id, _)| id).into_iter().collect()),
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None => Ok(RoaringBitmap::new())
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}
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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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Ok(Box::new(iter.map(Ok)) as Box<dyn Iterator<Item = _>>)
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} else {
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let facet_fn = if ascending {
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FacetIter::<f64, FacetLevelValueF64Codec>::new_reducing
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} else {
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FacetIter::<f64, FacetLevelValueF64Codec>::new_reverse_reducing
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};
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let mut iter = facet_fn(rtxn, index, field_id, candidates)?;
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Ok(iter.next().transpose()?.map(|(_, docids)| docids).unwrap_or_default())
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let iter = facet_fn(rtxn, index, field_id, candidates)?;
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Ok(Box::new(iter.map(|res| res.map(|(_, docids)| docids))))
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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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let db = index.field_id_docid_facet_values.remap_key_type::<FieldDocIdFacetI64Codec>();
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let mut docids_values = Vec::with_capacity(candidates.len() as usize);
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for docid in candidates.iter() {
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let left = (field_id, docid, i64::MIN);
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let right = (field_id, docid, i64::MAX);
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let mut iter = db.range(rtxn, &(left..=right))?;
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let entry = if ascending { iter.next() } else { iter.last() };
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if let Some(((_, _, value), ())) = entry.transpose()? {
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docids_values.push((docid, value));
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}
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}
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docids_values.sort_unstable_by_key(|(_, value)| *value);
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let iter = docids_values.into_iter();
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let iter = if ascending {
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Box::new(iter) as Box<dyn Iterator<Item = _>>
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} else {
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Box::new(iter.rev())
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};
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match iter.group_by(|(_, v)| *v).into_iter().next() {
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Some((_, ids)) => Ok(ids.map(|(id, _)| id).into_iter().collect()),
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None => Ok(RoaringBitmap::new())
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}
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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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Ok(Box::new(iter.map(Ok)) as Box<dyn Iterator<Item = _>>)
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} else {
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let facet_fn = if ascending {
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FacetIter::<i64, FacetLevelValueI64Codec>::new_reducing
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} else {
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FacetIter::<i64, FacetLevelValueI64Codec>::new_reverse_reducing
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};
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let mut iter = facet_fn(rtxn, index, field_id, candidates)?;
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Ok(iter.next().transpose()?.map(|(_, docids)| docids).unwrap_or_default())
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let iter = facet_fn(rtxn, index, field_id, candidates)?;
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Ok(Box::new(iter.map(|res| res.map(|(_, docids)| docids))))
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}
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},
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FacetType::String => bail!("criteria facet type must be a number"),
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}
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}
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/// Fetch the whole list of candidates facet values one by one and order them by it.
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///
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/// This function is fast when the amount of candidates to rank is small.
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fn iterative_facet_ordered_iter<'t, KC, T, U>(
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index: &'t Index,
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rtxn: &'t heed::RoTxn,
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field_id: FieldId,
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ascending: bool,
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candidates: RoaringBitmap,
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) -> anyhow::Result<impl Iterator<Item = RoaringBitmap> + 't>
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where
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KC: BytesDecode<'t, DItem = (FieldId, u32, T)>,
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KC: for<'a> BytesEncode<'a, EItem = (FieldId, u32, T)>,
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T: Bounded,
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U: From<T> + Ord + Clone + 't,
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{
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let db = index.field_id_docid_facet_values.remap_key_type::<KC>();
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let mut docids_values = Vec::with_capacity(candidates.len() as usize);
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for docid in candidates.iter() {
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let left = (field_id, docid, T::min_value());
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let right = (field_id, docid, T::max_value());
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let mut iter = db.range(rtxn, &(left..=right))?;
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let entry = if ascending { iter.next() } else { iter.last() };
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if let Some(((_, _, value), ())) = entry.transpose()? {
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docids_values.push((docid, U::from(value)));
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}
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}
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docids_values.sort_unstable_by_key(|(_, v)| v.clone());
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let iter = docids_values.into_iter();
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let iter = if ascending {
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Box::new(iter) as Box<dyn Iterator<Item = _>>
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} else {
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Box::new(iter.rev())
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};
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// The itertools GroupBy iterator doesn't provide an owned version, we are therefore
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// required to collect the result into an owned collection (a Vec).
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// https://github.com/rust-itertools/itertools/issues/499
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let vec: Vec<_> = iter.group_by(|(_, v)| v.clone())
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.into_iter()
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.map(|(_, ids)| ids.map(|(id, _)| id).collect())
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.collect();
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Ok(vec.into_iter())
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}
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@ -1,12 +1,11 @@
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use std::collections::HashMap;
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use std::borrow::Cow;
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use anyhow::{bail, Context as _};
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use anyhow::bail;
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use roaring::RoaringBitmap;
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use crate::facet::FacetType;
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use crate::search::word_derivations;
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use crate::{Index, FieldId};
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use crate::Index;
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use super::query_tree::{Operation, Query, QueryKind};
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use self::typo::Typo;
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