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https://github.com/meilisearch/meilisearch.git
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Introduce the FacetRevRange Iterator struct
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parent
58d039a70d
commit
0959e1501f
1
Cargo.lock
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1
Cargo.lock
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@ -673,6 +673,7 @@ dependencies = [
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"criterion",
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"crossbeam-channel",
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"csv",
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"either",
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"flate2",
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"fst",
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"fxhash",
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@ -10,6 +10,7 @@ bstr = "0.2.13"
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byteorder = "1.3.4"
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crossbeam-channel = "0.5.0"
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csv = "1.1.3"
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either = "1.6.1"
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flate2 = "1.0.17"
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fst = "0.4.4"
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fxhash = "0.2.1"
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1
http-ui/Cargo.lock
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1
http-ui/Cargo.lock
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@ -999,6 +999,7 @@ dependencies = [
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"byteorder",
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"crossbeam-channel",
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"csv",
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"either",
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"flate2",
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"fst",
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"fxhash",
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@ -1,9 +1,11 @@
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use std::fmt::Debug;
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use std::ops::Bound::{self, Included, Excluded, Unbounded};
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use heed::types::DecodeIgnore;
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use either::Either::{self, Left, Right};
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use heed::types::{DecodeIgnore, ByteSlice};
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use heed::{BytesEncode, BytesDecode};
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use heed::{Database, RoRange, LazyDecode};
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use heed::{Database, RoRange, RoRevRange, LazyDecode};
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use log::debug;
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use num_traits::Bounded;
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use roaring::RoaringBitmap;
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@ -76,16 +78,78 @@ where
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}
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}
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struct FacetRevRange<'t, T: 't, KC> {
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iter: RoRevRange<'t, KC, LazyDecode<CboRoaringBitmapCodec>>,
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end: Bound<T>,
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}
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impl<'t, T: 't, KC> FacetRevRange<'t, T, KC>
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where
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KC: for<'a> BytesEncode<'a, EItem = (FieldId, u8, T, T)>,
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T: PartialOrd + Copy + Bounded,
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{
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fn new(
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rtxn: &'t heed::RoTxn,
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db: Database<KC, CboRoaringBitmapCodec>,
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field_id: FieldId,
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level: u8,
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left: Bound<T>,
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right: Bound<T>,
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) -> heed::Result<FacetRevRange<'t, T, KC>>
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{
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let left_bound = match left {
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Included(left) => Included((field_id, level, left, T::min_value())),
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Excluded(left) => Excluded((field_id, level, left, T::min_value())),
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Unbounded => Included((field_id, level, T::min_value(), T::min_value())),
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};
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let right_bound = Included((field_id, level, T::max_value(), T::max_value()));
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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, T, KC> Iterator for FacetRevRange<'t, T, KC>
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where
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KC: for<'a> BytesEncode<'a, EItem = (FieldId, u8, T, T)>,
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KC: BytesDecode<'t, DItem = (FieldId, u8, T, T)>,
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T: PartialOrd + Copy,
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{
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type Item = heed::Result<((FieldId, u8, T, T), 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 FacetIter<'t, T: 't, KC> {
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rtxn: &'t heed::RoTxn<'t>,
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db: Database<KC, CboRoaringBitmapCodec>,
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field_id: FieldId,
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documents_ids: RoaringBitmap,
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level_iters: Vec<FacetRange<'t, T, KC>>,
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level_iters: Vec<(RoaringBitmap, Either<FacetRange<'t, T, KC>, FacetRevRange<'t, T, KC>>)>,
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}
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impl<'t, T, KC> FacetIter<'t, T, KC>
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where
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KC: heed::BytesDecode<'t, DItem = (FieldId, u8, T, T)>,
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KC: for<'a> BytesEncode<'a, EItem = (FieldId, u8, T, T)>,
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T: PartialOrd + Copy + Bounded,
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{
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@ -97,8 +161,31 @@ where
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) -> heed::Result<FacetIter<'t, T, KC>>
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{
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let db = index.facet_field_id_value_docids.remap_key_type::<KC>();
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let level_0_iter = FacetRange::new(rtxn, db, field_id, 0, Unbounded, Unbounded)?;
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Ok(FacetIter { rtxn, db, field_id, documents_ids, level_iters: vec![level_0_iter] })
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let highest_level = Self::highest_level(rtxn, db, field_id)?.unwrap_or(0);
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let highest_iter = FacetRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
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Ok(FacetIter { rtxn, db, field_id, level_iters: vec![(documents_ids, Left(highest_iter))] })
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}
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pub fn new_reverse(
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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<FacetIter<'t, T, KC>>
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{
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let db = index.facet_field_id_value_docids.remap_key_type::<KC>();
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let highest_level = Self::highest_level(rtxn, db, field_id)?.unwrap_or(0);
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let highest_iter = FacetRevRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
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Ok(FacetIter { rtxn, db, field_id, level_iters: vec![(documents_ids, Right(highest_iter))] })
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}
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fn highest_level<X>(rtxn: &'t heed::RoTxn, db: Database<KC, X>, fid: FieldId) -> heed::Result<Option<u8>> {
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let level = db.remap_types::<ByteSlice, DecodeIgnore>()
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.prefix_iter(rtxn, &[fid][..])?
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.remap_key_type::<KC>()
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.last().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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@ -106,35 +193,54 @@ impl<'t, T: 't, KC> Iterator for FacetIter<'t, T, KC>
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where
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KC: heed::BytesDecode<'t, DItem = (FieldId, u8, T, T)>,
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KC: for<'x> heed::BytesEncode<'x, EItem = (FieldId, u8, T, T)>,
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T: PartialOrd + Copy + Bounded,
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T: PartialOrd + Copy + Bounded + Debug,
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{
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type Item = heed::Result<(T, RoaringBitmap)>;
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fn next(&mut self) -> Option<Self::Item> {
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loop {
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let last = self.level_iters.last_mut()?;
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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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if level == 0 {
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docids.intersect_with(&self.documents_ids);
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if !docids.is_empty() {
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self.documents_ids.difference_with(&docids);
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docids.intersect_with(&documents_ids);
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if !docids.is_empty() {
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documents_ids.difference_with(&docids);
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if level == 0 {
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debug!("found {:?} at {:?}", docids, left);
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return Some(Ok((left, docids)));
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}
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} else if !docids.is_disjoint(&self.documents_ids) {
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let result = FacetRange::new(
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self.rtxn,
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self.db,
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self.field_id,
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level - 1,
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Included(left),
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Included(right),
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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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debug!("calling with {:?} to {:?} (level {}) to find {:?}",
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left, right, level - 1, docids,
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);
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let result = if is_ascending {
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FacetRange::new(rtxn, db, fid, level - 1, left, right).map(Left)
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} else {
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FacetRevRange::new(rtxn, db, fid, level - 1, left, right).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(iter);
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break;
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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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use crate::{Index, FieldId, DocumentId, Criterion};
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pub use self::facet::{FacetCondition, FacetNumberOperator, FacetStringOperator};
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pub use self::facet::{FacetIter};
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// Building these factories is not free.
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static LEVDIST0: Lazy<LevBuilder> = Lazy::new(|| LevBuilder::new(0, true));
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@ -151,7 +152,7 @@ impl<'a> Search<'a> {
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&self,
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field_id: FieldId,
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facet_type: FacetType,
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order: Order,
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ascending: bool,
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documents_ids: RoaringBitmap,
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limit: usize,
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) -> anyhow::Result<Vec<DocumentId>>
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@ -160,34 +161,30 @@ impl<'a> Search<'a> {
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let mut output = Vec::new();
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match facet_type {
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FacetType::Float => {
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facet_number_recurse::<f64, FacetLevelValueF64Codec, _>(
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self.rtxn,
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self.index,
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field_id,
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order,
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documents_ids,
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|_val, docids| {
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limit_tmp = limit_tmp.saturating_sub(docids.len() as usize);
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debug!("Facet ordered iteration find {:?}", docids);
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output.push(docids);
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limit_tmp != 0 // Returns `true` if we must continue iterating
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}
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)?;
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let facet_fn = if ascending {
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FacetIter::<f64, FacetLevelValueF64Codec>::new
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} else {
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FacetIter::<f64, FacetLevelValueF64Codec>::new_reverse
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};
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for result in facet_fn(self.rtxn, self.index, field_id, documents_ids)? {
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let (_val, docids) = result?;
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limit_tmp = limit_tmp.saturating_sub(docids.len() as usize);
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output.push(docids);
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if limit_tmp == 0 { break }
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}
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},
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FacetType::Integer => {
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facet_number_recurse::<i64, FacetLevelValueI64Codec, _>(
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self.rtxn,
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self.index,
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field_id,
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order,
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documents_ids,
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|_val, docids| {
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limit_tmp = limit_tmp.saturating_sub(docids.len() as usize);
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debug!("Facet ordered iteration find {:?}", docids);
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output.push(docids);
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limit_tmp != 0 // Returns `true` if we must continue iterating
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}
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)?;
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let facet_fn = if ascending {
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FacetIter::<i64, FacetLevelValueI64Codec>::new
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} else {
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FacetIter::<i64, FacetLevelValueI64Codec>::new_reverse
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};
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for result in facet_fn(self.rtxn, self.index, field_id, documents_ids)? {
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let (_val, docids) = result?;
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limit_tmp = limit_tmp.saturating_sub(docids.len() as usize);
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output.push(docids);
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if limit_tmp == 0 { break }
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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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@ -214,16 +211,16 @@ impl<'a> Search<'a> {
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let criteria = self.index.criteria(self.rtxn)?;
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let result = criteria.into_iter().flat_map(|criterion| {
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match criterion {
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Criterion::Asc(fid) => Some((fid, Order::Asc)),
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Criterion::Desc(fid) => Some((fid, Order::Desc)),
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Criterion::Asc(fid) => Some((fid, true)),
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Criterion::Desc(fid) => Some((fid, false)),
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_ => None
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}
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}).next();
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match result {
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Some((fid, order)) => {
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Some((fid, is_ascending)) => {
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let faceted_fields = self.index.faceted_fields(self.rtxn)?;
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let ftype = *faceted_fields.get(&fid).context("unknown field id")?;
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Some((fid, ftype, order))
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Some((fid, ftype, is_ascending))
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},
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None => None,
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}
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@ -244,7 +241,9 @@ impl<'a> Search<'a> {
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// If the query is not set or results in no DFAs but
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// there is some facet conditions we return a placeholder.
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let documents_ids = match order_by_facet {
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Some((fid, ftype, order)) => self.facet_ordered(fid, ftype, order, facet_candidates, limit)?,
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Some((fid, ftype, is_ascending)) => {
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self.facet_ordered(fid, ftype, is_ascending, facet_candidates, limit)?
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},
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None => facet_candidates.iter().take(limit).collect(),
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};
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return Ok(SearchResult { documents_ids, ..Default::default() })
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@ -253,7 +252,9 @@ impl<'a> Search<'a> {
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// If the query is not set or results in no DFAs we return a placeholder.
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let documents_ids = self.index.documents_ids(self.rtxn)?;
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let documents_ids = match order_by_facet {
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Some((fid, ftype, order)) => self.facet_ordered(fid, ftype, order, documents_ids, limit)?,
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Some((fid, ftype, is_ascending)) => {
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self.facet_ordered(fid, ftype, is_ascending, documents_ids, limit)?
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},
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None => documents_ids.iter().take(limit).collect(),
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};
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return Ok(SearchResult { documents_ids, ..Default::default() })
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