mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-27 04:25:06 +08:00
Move the facet number iterators into their own module
This commit is contained in:
parent
fa44e95c91
commit
f858f64b1f
@ -8,7 +8,7 @@ use roaring::RoaringBitmap;
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use super::{Criterion, CriterionParameters, CriterionResult};
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use crate::error::FieldIdMapMissingEntry;
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use crate::search::criteria::{resolve_query_tree, CriteriaBuilder};
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use crate::search::facet::FacetIter;
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use crate::search::facet::FacetNumberIter;
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use crate::search::query_tree::Operation;
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use crate::{FieldId, Index, Result};
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@ -172,8 +172,11 @@ fn facet_ordered<'t>(
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let iter = iterative_facet_ordered_iter(index, rtxn, field_id, ascending, candidates)?;
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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 =
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if ascending { FacetIter::new_reducing } else { FacetIter::new_reverse_reducing };
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let facet_fn = if ascending {
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FacetNumberIter::new_reducing
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} else {
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FacetNumberIter::new_reverse_reducing
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};
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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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@ -9,7 +9,7 @@ use roaring::RoaringBitmap;
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use crate::error::{FieldIdMapMissingEntry, UserError};
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use crate::facet::FacetType;
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use crate::heed_codec::facet::FacetValueStringCodec;
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use crate::search::facet::{FacetIter, FacetRange};
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use crate::search::facet::{FacetNumberIter, FacetNumberRange};
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use crate::{DocumentId, FieldId, Index, Result};
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/// The default number of values by facets that will
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@ -118,7 +118,7 @@ impl<'a> FacetDistribution<'a> {
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distribution: &mut BTreeMap<String, u64>,
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) -> heed::Result<()> {
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let iter =
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FacetIter::new_non_reducing(self.rtxn, self.index, field_id, candidates.clone())?;
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FacetNumberIter::new_non_reducing(self.rtxn, self.index, field_id, candidates.clone())?;
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for result in iter {
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let (value, mut docids) = result?;
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@ -143,7 +143,7 @@ impl<'a> FacetDistribution<'a> {
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let mut distribution = BTreeMap::new();
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let db = self.index.facet_id_f64_docids;
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let range = FacetRange::new(self.rtxn, db, field_id, 0, Unbounded, Unbounded)?;
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let range = FacetNumberRange::new(self.rtxn, db, field_id, 0, Unbounded, Unbounded)?;
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for result in range {
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let ((_, _, value, _), docids) = result?;
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248
milli/src/search/facet/facet_number.rs
Normal file
248
milli/src/search/facet/facet_number.rs
Normal file
@ -0,0 +1,248 @@
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use std::ops::Bound::{self, Excluded, Included, Unbounded};
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use either::Either::{self, Left, Right};
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use heed::types::{ByteSlice, DecodeIgnore};
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use heed::{Database, LazyDecode, RoRange, RoRevRange};
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use roaring::RoaringBitmap;
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use crate::heed_codec::facet::FacetLevelValueF64Codec;
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use crate::heed_codec::CboRoaringBitmapCodec;
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use crate::{FieldId, Index};
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pub struct FacetNumberRange<'t> {
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iter: RoRange<'t, FacetLevelValueF64Codec, LazyDecode<CboRoaringBitmapCodec>>,
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end: Bound<f64>,
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}
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impl<'t> FacetNumberRange<'t> {
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pub fn new(
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rtxn: &'t heed::RoTxn,
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db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
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field_id: FieldId,
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level: u8,
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left: Bound<f64>,
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right: Bound<f64>,
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) -> heed::Result<FacetNumberRange<'t>> {
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let left_bound = match left {
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Included(left) => Included((field_id, level, left, f64::MIN)),
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Excluded(left) => Excluded((field_id, level, left, f64::MIN)),
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Unbounded => Included((field_id, level, f64::MIN, f64::MIN)),
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};
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let right_bound = Included((field_id, level, f64::MAX, f64::MAX));
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let iter = db.lazily_decode_data().range(rtxn, &(left_bound, right_bound))?;
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Ok(FacetNumberRange { iter, end: right })
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}
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}
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impl<'t> Iterator for FacetNumberRange<'t> {
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type Item = heed::Result<((FieldId, u8, f64, f64), RoaringBitmap)>;
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fn next(&mut self) -> Option<Self::Item> {
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match self.iter.next() {
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Some(Ok(((fid, level, left, right), docids))) => {
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let must_be_returned = match self.end {
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Included(end) => right <= end,
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Excluded(end) => right < end,
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Unbounded => true,
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};
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if must_be_returned {
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match docids.decode() {
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Ok(docids) => Some(Ok(((fid, level, left, right), docids))),
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Err(e) => Some(Err(e)),
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}
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} else {
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None
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}
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}
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Some(Err(e)) => Some(Err(e)),
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None => None,
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}
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}
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}
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pub struct FacetNumberRevRange<'t> {
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iter: RoRevRange<'t, FacetLevelValueF64Codec, LazyDecode<CboRoaringBitmapCodec>>,
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end: Bound<f64>,
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}
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impl<'t> FacetNumberRevRange<'t> {
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pub fn new(
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rtxn: &'t heed::RoTxn,
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db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
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field_id: FieldId,
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level: u8,
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left: Bound<f64>,
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right: Bound<f64>,
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) -> heed::Result<FacetNumberRevRange<'t>> {
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let left_bound = match left {
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Included(left) => Included((field_id, level, left, f64::MIN)),
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Excluded(left) => Excluded((field_id, level, left, f64::MIN)),
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Unbounded => Included((field_id, level, f64::MIN, f64::MIN)),
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};
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let right_bound = Included((field_id, level, f64::MAX, f64::MAX));
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let iter = db.lazily_decode_data().rev_range(rtxn, &(left_bound, right_bound))?;
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Ok(FacetNumberRevRange { iter, end: right })
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}
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}
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impl<'t> Iterator for FacetNumberRevRange<'t> {
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type Item = heed::Result<((FieldId, u8, f64, f64), RoaringBitmap)>;
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fn next(&mut self) -> Option<Self::Item> {
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loop {
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match self.iter.next() {
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Some(Ok(((fid, level, left, right), docids))) => {
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let must_be_returned = match self.end {
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Included(end) => right <= end,
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Excluded(end) => right < end,
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Unbounded => true,
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};
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if must_be_returned {
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match docids.decode() {
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Ok(docids) => return Some(Ok(((fid, level, left, right), docids))),
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Err(e) => return Some(Err(e)),
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}
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}
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continue;
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}
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Some(Err(e)) => return Some(Err(e)),
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None => return None,
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}
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}
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}
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}
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pub struct FacetNumberIter<'t> {
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rtxn: &'t heed::RoTxn<'t>,
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db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
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field_id: FieldId,
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level_iters: Vec<(RoaringBitmap, Either<FacetNumberRange<'t>, FacetNumberRevRange<'t>>)>,
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must_reduce: bool,
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}
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impl<'t> FacetNumberIter<'t> {
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/// Create a `FacetNumberIter` that will iterate on the different facet entries
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/// (facet value + documents ids) and that will reduce the given documents ids
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/// while iterating on the different facet levels.
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pub fn new_reducing(
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rtxn: &'t heed::RoTxn,
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index: &'t Index,
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field_id: FieldId,
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documents_ids: RoaringBitmap,
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) -> heed::Result<FacetNumberIter<'t>> {
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let db = index.facet_id_f64_docids.remap_key_type::<FacetLevelValueF64Codec>();
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let highest_level = Self::highest_level(rtxn, db, field_id)?.unwrap_or(0);
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let highest_iter =
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FacetNumberRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
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let level_iters = vec![(documents_ids, Left(highest_iter))];
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Ok(FacetNumberIter { rtxn, db, field_id, level_iters, must_reduce: true })
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}
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/// Create a `FacetNumberIter` that will iterate on the different facet entries in reverse
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/// (facet value + documents ids) and that will reduce the given documents ids
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/// while iterating on the different facet levels.
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pub fn new_reverse_reducing(
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rtxn: &'t heed::RoTxn,
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index: &'t Index,
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field_id: FieldId,
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documents_ids: RoaringBitmap,
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) -> heed::Result<FacetNumberIter<'t>> {
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let db = index.facet_id_f64_docids.remap_key_type::<FacetLevelValueF64Codec>();
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let highest_level = Self::highest_level(rtxn, db, field_id)?.unwrap_or(0);
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let highest_iter =
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FacetNumberRevRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
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let level_iters = vec![(documents_ids, Right(highest_iter))];
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Ok(FacetNumberIter { rtxn, db, field_id, level_iters, must_reduce: true })
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}
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/// Create a `FacetNumberIter` that will iterate on the different facet entries
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/// (facet value + documents ids) and that will not reduce the given documents ids
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/// while iterating on the different facet levels, possibly returning multiple times
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/// a document id associated with multiple facet values.
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pub fn new_non_reducing(
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rtxn: &'t heed::RoTxn,
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index: &'t Index,
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field_id: FieldId,
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documents_ids: RoaringBitmap,
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) -> heed::Result<FacetNumberIter<'t>> {
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let db = index.facet_id_f64_docids.remap_key_type::<FacetLevelValueF64Codec>();
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let highest_level = Self::highest_level(rtxn, db, field_id)?.unwrap_or(0);
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let highest_iter =
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FacetNumberRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
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let level_iters = vec![(documents_ids, Left(highest_iter))];
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Ok(FacetNumberIter { rtxn, db, field_id, level_iters, must_reduce: false })
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}
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fn highest_level<X>(
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rtxn: &'t heed::RoTxn,
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db: Database<FacetLevelValueF64Codec, X>,
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fid: FieldId,
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) -> heed::Result<Option<u8>> {
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let level = db
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.remap_types::<ByteSlice, DecodeIgnore>()
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.prefix_iter(rtxn, &fid.to_be_bytes())?
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.remap_key_type::<FacetLevelValueF64Codec>()
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.last()
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.transpose()?
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.map(|((_, level, _, _), _)| level);
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Ok(level)
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}
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}
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impl<'t> Iterator for FacetNumberIter<'t> {
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type Item = heed::Result<(f64, RoaringBitmap)>;
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fn next(&mut self) -> Option<Self::Item> {
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'outer: loop {
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let (documents_ids, last) = self.level_iters.last_mut()?;
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let is_ascending = last.is_left();
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for result in last {
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// If the last iterator must find an empty set of documents it means
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// that we found all the documents in the sub level iterations already,
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// we can pop this level iterator.
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if documents_ids.is_empty() {
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break;
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}
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match result {
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Ok(((_fid, level, left, right), mut docids)) => {
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docids &= &*documents_ids;
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if !docids.is_empty() {
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if self.must_reduce {
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*documents_ids -= &docids;
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}
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if level == 0 {
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return Some(Ok((left, docids)));
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}
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let rtxn = self.rtxn;
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let db = self.db;
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let fid = self.field_id;
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let left = Included(left);
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let right = Included(right);
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let result = if is_ascending {
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FacetNumberRange::new(rtxn, db, fid, level - 1, left, right)
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.map(Left)
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} else {
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FacetNumberRevRange::new(rtxn, db, fid, level - 1, left, right)
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.map(Right)
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};
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match result {
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Ok(iter) => {
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self.level_iters.push((docids, iter));
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continue 'outer;
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}
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Err(e) => return Some(Err(e)),
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}
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}
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}
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Err(e) => return Some(Err(e)),
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}
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}
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self.level_iters.pop();
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}
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}
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}
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@ -15,7 +15,7 @@ use roaring::RoaringBitmap;
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use self::FilterCondition::*;
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use self::Operator::*;
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use super::parser::{FilterParser, Rule, PREC_CLIMBER};
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use super::FacetRange;
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use super::FacetNumberRange;
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use crate::error::UserError;
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use crate::heed_codec::facet::{FacetLevelValueF64Codec, FacetValueStringCodec};
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use crate::{CboRoaringBitmapCodec, FieldId, FieldsIdsMap, Index, Result};
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@ -282,7 +282,7 @@ impl FilterCondition {
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// We must create a custom iterator to be able to iterate over the
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// requested range as the range iterator cannot express some conditions.
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let iter = FacetRange::new(rtxn, db, field_id, level, left, right)?;
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let iter = FacetNumberRange::new(rtxn, db, field_id, level, left, right)?;
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debug!("Iterating between {:?} and {:?} (level {})", left, right, level);
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@ -1,253 +1,9 @@
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use std::ops::Bound::{self, Excluded, Included, Unbounded};
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use either::Either::{self, Left, Right};
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use heed::types::{ByteSlice, DecodeIgnore};
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use heed::{Database, LazyDecode, RoRange, RoRevRange};
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use roaring::RoaringBitmap;
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pub use self::facet_distribution::FacetDistribution;
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pub use self::facet_number::{FacetNumberIter, FacetNumberRange, FacetNumberRevRange};
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pub use self::filter_condition::{FilterCondition, Operator};
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pub(crate) use self::parser::Rule as ParserRule;
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use crate::heed_codec::facet::FacetLevelValueF64Codec;
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use crate::heed_codec::CboRoaringBitmapCodec;
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use crate::{FieldId, Index};
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mod facet_distribution;
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mod facet_number;
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mod filter_condition;
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mod parser;
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pub struct FacetRange<'t> {
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iter: RoRange<'t, FacetLevelValueF64Codec, LazyDecode<CboRoaringBitmapCodec>>,
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end: Bound<f64>,
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}
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impl<'t> FacetRange<'t> {
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pub fn new(
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rtxn: &'t heed::RoTxn,
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db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
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field_id: FieldId,
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level: u8,
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left: Bound<f64>,
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right: Bound<f64>,
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) -> heed::Result<FacetRange<'t>> {
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let left_bound = match left {
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Included(left) => Included((field_id, level, left, f64::MIN)),
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Excluded(left) => Excluded((field_id, level, left, f64::MIN)),
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Unbounded => Included((field_id, level, f64::MIN, f64::MIN)),
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};
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let right_bound = Included((field_id, level, f64::MAX, f64::MAX));
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let iter = db.lazily_decode_data().range(rtxn, &(left_bound, right_bound))?;
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Ok(FacetRange { iter, end: right })
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}
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}
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impl<'t> Iterator for FacetRange<'t> {
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type Item = heed::Result<((FieldId, u8, f64, f64), RoaringBitmap)>;
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fn next(&mut self) -> Option<Self::Item> {
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match self.iter.next() {
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Some(Ok(((fid, level, left, right), docids))) => {
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let must_be_returned = match self.end {
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Included(end) => right <= end,
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Excluded(end) => right < end,
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Unbounded => true,
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};
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if must_be_returned {
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match docids.decode() {
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Ok(docids) => Some(Ok(((fid, level, left, right), docids))),
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Err(e) => Some(Err(e)),
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}
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} else {
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None
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}
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}
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Some(Err(e)) => Some(Err(e)),
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None => None,
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}
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}
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}
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pub struct FacetRevRange<'t> {
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iter: RoRevRange<'t, FacetLevelValueF64Codec, LazyDecode<CboRoaringBitmapCodec>>,
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end: Bound<f64>,
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}
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impl<'t> FacetRevRange<'t> {
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pub fn new(
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rtxn: &'t heed::RoTxn,
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db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
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field_id: FieldId,
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level: u8,
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left: Bound<f64>,
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right: Bound<f64>,
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) -> heed::Result<FacetRevRange<'t>> {
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let left_bound = match left {
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Included(left) => Included((field_id, level, left, f64::MIN)),
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Excluded(left) => Excluded((field_id, level, left, f64::MIN)),
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Unbounded => Included((field_id, level, f64::MIN, f64::MIN)),
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};
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let right_bound = Included((field_id, level, f64::MAX, f64::MAX));
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let iter = db.lazily_decode_data().rev_range(rtxn, &(left_bound, right_bound))?;
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Ok(FacetRevRange { iter, end: right })
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}
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}
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impl<'t> Iterator for FacetRevRange<'t> {
|
||||
type Item = heed::Result<((FieldId, u8, f64, f64), RoaringBitmap)>;
|
||||
|
||||
fn next(&mut self) -> Option<Self::Item> {
|
||||
loop {
|
||||
match self.iter.next() {
|
||||
Some(Ok(((fid, level, left, right), docids))) => {
|
||||
let must_be_returned = match self.end {
|
||||
Included(end) => right <= end,
|
||||
Excluded(end) => right < end,
|
||||
Unbounded => true,
|
||||
};
|
||||
if must_be_returned {
|
||||
match docids.decode() {
|
||||
Ok(docids) => return Some(Ok(((fid, level, left, right), docids))),
|
||||
Err(e) => return Some(Err(e)),
|
||||
}
|
||||
}
|
||||
continue;
|
||||
}
|
||||
Some(Err(e)) => return Some(Err(e)),
|
||||
None => return None,
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
pub struct FacetIter<'t> {
|
||||
rtxn: &'t heed::RoTxn<'t>,
|
||||
db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
|
||||
field_id: FieldId,
|
||||
level_iters: Vec<(RoaringBitmap, Either<FacetRange<'t>, FacetRevRange<'t>>)>,
|
||||
must_reduce: bool,
|
||||
}
|
||||
|
||||
impl<'t> FacetIter<'t> {
|
||||
/// Create a `FacetIter` that will iterate on the different facet entries
|
||||
/// (facet value + documents ids) and that will reduce the given documents ids
|
||||
/// while iterating on the different facet levels.
|
||||
pub fn new_reducing(
|
||||
rtxn: &'t heed::RoTxn,
|
||||
index: &'t Index,
|
||||
field_id: FieldId,
|
||||
documents_ids: RoaringBitmap,
|
||||
) -> heed::Result<FacetIter<'t>> {
|
||||
let db = index.facet_id_f64_docids.remap_key_type::<FacetLevelValueF64Codec>();
|
||||
let highest_level = Self::highest_level(rtxn, db, field_id)?.unwrap_or(0);
|
||||
let highest_iter =
|
||||
FacetRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
|
||||
let level_iters = vec![(documents_ids, Left(highest_iter))];
|
||||
Ok(FacetIter { rtxn, db, field_id, level_iters, must_reduce: true })
|
||||
}
|
||||
|
||||
/// Create a `FacetIter` that will iterate on the different facet entries in reverse
|
||||
/// (facet value + documents ids) and that will reduce the given documents ids
|
||||
/// while iterating on the different facet levels.
|
||||
pub fn new_reverse_reducing(
|
||||
rtxn: &'t heed::RoTxn,
|
||||
index: &'t Index,
|
||||
field_id: FieldId,
|
||||
documents_ids: RoaringBitmap,
|
||||
) -> heed::Result<FacetIter<'t>> {
|
||||
let db = index.facet_id_f64_docids.remap_key_type::<FacetLevelValueF64Codec>();
|
||||
let highest_level = Self::highest_level(rtxn, db, field_id)?.unwrap_or(0);
|
||||
let highest_iter =
|
||||
FacetRevRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
|
||||
let level_iters = vec![(documents_ids, Right(highest_iter))];
|
||||
Ok(FacetIter { rtxn, db, field_id, level_iters, must_reduce: true })
|
||||
}
|
||||
|
||||
/// Create a `FacetIter` that will iterate on the different facet entries
|
||||
/// (facet value + documents ids) and that will not reduce the given documents ids
|
||||
/// while iterating on the different facet levels, possibly returning multiple times
|
||||
/// a document id associated with multiple facet values.
|
||||
pub fn new_non_reducing(
|
||||
rtxn: &'t heed::RoTxn,
|
||||
index: &'t Index,
|
||||
field_id: FieldId,
|
||||
documents_ids: RoaringBitmap,
|
||||
) -> heed::Result<FacetIter<'t>> {
|
||||
let db = index.facet_id_f64_docids.remap_key_type::<FacetLevelValueF64Codec>();
|
||||
let highest_level = Self::highest_level(rtxn, db, field_id)?.unwrap_or(0);
|
||||
let highest_iter =
|
||||
FacetRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
|
||||
let level_iters = vec![(documents_ids, Left(highest_iter))];
|
||||
Ok(FacetIter { rtxn, db, field_id, level_iters, must_reduce: false })
|
||||
}
|
||||
|
||||
fn highest_level<X>(
|
||||
rtxn: &'t heed::RoTxn,
|
||||
db: Database<FacetLevelValueF64Codec, X>,
|
||||
fid: FieldId,
|
||||
) -> heed::Result<Option<u8>> {
|
||||
let level = db
|
||||
.remap_types::<ByteSlice, DecodeIgnore>()
|
||||
.prefix_iter(rtxn, &fid.to_be_bytes())?
|
||||
.remap_key_type::<FacetLevelValueF64Codec>()
|
||||
.last()
|
||||
.transpose()?
|
||||
.map(|((_, level, _, _), _)| level);
|
||||
Ok(level)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'t> Iterator for FacetIter<'t> {
|
||||
type Item = heed::Result<(f64, RoaringBitmap)>;
|
||||
|
||||
fn next(&mut self) -> Option<Self::Item> {
|
||||
'outer: loop {
|
||||
let (documents_ids, last) = self.level_iters.last_mut()?;
|
||||
let is_ascending = last.is_left();
|
||||
for result in last {
|
||||
// If the last iterator must find an empty set of documents it means
|
||||
// that we found all the documents in the sub level iterations already,
|
||||
// we can pop this level iterator.
|
||||
if documents_ids.is_empty() {
|
||||
break;
|
||||
}
|
||||
|
||||
match result {
|
||||
Ok(((_fid, level, left, right), mut docids)) => {
|
||||
docids &= &*documents_ids;
|
||||
if !docids.is_empty() {
|
||||
if self.must_reduce {
|
||||
*documents_ids -= &docids;
|
||||
}
|
||||
|
||||
if level == 0 {
|
||||
return Some(Ok((left, docids)));
|
||||
}
|
||||
|
||||
let rtxn = self.rtxn;
|
||||
let db = self.db;
|
||||
let fid = self.field_id;
|
||||
let left = Included(left);
|
||||
let right = Included(right);
|
||||
|
||||
let result = if is_ascending {
|
||||
FacetRange::new(rtxn, db, fid, level - 1, left, right).map(Left)
|
||||
} else {
|
||||
FacetRevRange::new(rtxn, db, fid, level - 1, left, right).map(Right)
|
||||
};
|
||||
|
||||
match result {
|
||||
Ok(iter) => {
|
||||
self.level_iters.push((docids, iter));
|
||||
continue 'outer;
|
||||
}
|
||||
Err(e) => return Some(Err(e)),
|
||||
}
|
||||
}
|
||||
}
|
||||
Err(e) => return Some(Err(e)),
|
||||
}
|
||||
}
|
||||
self.level_iters.pop();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
@ -15,7 +15,7 @@ use once_cell::sync::Lazy;
|
||||
use roaring::bitmap::RoaringBitmap;
|
||||
|
||||
pub(crate) use self::facet::ParserRule;
|
||||
pub use self::facet::{FacetDistribution, FacetIter, FilterCondition, Operator};
|
||||
pub use self::facet::{FacetDistribution, FacetNumberIter, FilterCondition, Operator};
|
||||
pub use self::matching_words::MatchingWords;
|
||||
use self::query_tree::QueryTreeBuilder;
|
||||
use crate::error::FieldIdMapMissingEntry;
|
||||
|
Loading…
Reference in New Issue
Block a user