Move the facet number iterators into their own module

This commit is contained in:
Kerollmops 2021-06-23 10:29:00 +02:00
parent fa44e95c91
commit f858f64b1f
No known key found for this signature in database
GPG Key ID: 92ADA4E935E71FA4
6 changed files with 262 additions and 255 deletions

View File

@ -8,7 +8,7 @@ use roaring::RoaringBitmap;
use super::{Criterion, CriterionParameters, CriterionResult};
use crate::error::FieldIdMapMissingEntry;
use crate::search::criteria::{resolve_query_tree, CriteriaBuilder};
use crate::search::facet::FacetIter;
use crate::search::facet::FacetNumberIter;
use crate::search::query_tree::Operation;
use crate::{FieldId, Index, Result};
@ -172,8 +172,11 @@ fn facet_ordered<'t>(
let iter = iterative_facet_ordered_iter(index, rtxn, field_id, ascending, candidates)?;
Ok(Box::new(iter.map(Ok)) as Box<dyn Iterator<Item = _>>)
} else {
let facet_fn =
if ascending { FacetIter::new_reducing } else { FacetIter::new_reverse_reducing };
let facet_fn = if ascending {
FacetNumberIter::new_reducing
} else {
FacetNumberIter::new_reverse_reducing
};
let iter = facet_fn(rtxn, index, field_id, candidates)?;
Ok(Box::new(iter.map(|res| res.map(|(_, docids)| docids))))
}

View File

@ -9,7 +9,7 @@ use roaring::RoaringBitmap;
use crate::error::{FieldIdMapMissingEntry, UserError};
use crate::facet::FacetType;
use crate::heed_codec::facet::FacetValueStringCodec;
use crate::search::facet::{FacetIter, FacetRange};
use crate::search::facet::{FacetNumberIter, FacetNumberRange};
use crate::{DocumentId, FieldId, Index, Result};
/// The default number of values by facets that will
@ -118,7 +118,7 @@ impl<'a> FacetDistribution<'a> {
distribution: &mut BTreeMap<String, u64>,
) -> heed::Result<()> {
let iter =
FacetIter::new_non_reducing(self.rtxn, self.index, field_id, candidates.clone())?;
FacetNumberIter::new_non_reducing(self.rtxn, self.index, field_id, candidates.clone())?;
for result in iter {
let (value, mut docids) = result?;
@ -143,7 +143,7 @@ impl<'a> FacetDistribution<'a> {
let mut distribution = BTreeMap::new();
let db = self.index.facet_id_f64_docids;
let range = FacetRange::new(self.rtxn, db, field_id, 0, Unbounded, Unbounded)?;
let range = FacetNumberRange::new(self.rtxn, db, field_id, 0, Unbounded, Unbounded)?;
for result in range {
let ((_, _, value, _), docids) = result?;

View File

@ -0,0 +1,248 @@
use std::ops::Bound::{self, Excluded, Included, Unbounded};
use either::Either::{self, Left, Right};
use heed::types::{ByteSlice, DecodeIgnore};
use heed::{Database, LazyDecode, RoRange, RoRevRange};
use roaring::RoaringBitmap;
use crate::heed_codec::facet::FacetLevelValueF64Codec;
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::{FieldId, Index};
pub struct FacetNumberRange<'t> {
iter: RoRange<'t, FacetLevelValueF64Codec, LazyDecode<CboRoaringBitmapCodec>>,
end: Bound<f64>,
}
impl<'t> FacetNumberRange<'t> {
pub fn new(
rtxn: &'t heed::RoTxn,
db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
field_id: FieldId,
level: u8,
left: Bound<f64>,
right: Bound<f64>,
) -> heed::Result<FacetNumberRange<'t>> {
let left_bound = match left {
Included(left) => Included((field_id, level, left, f64::MIN)),
Excluded(left) => Excluded((field_id, level, left, f64::MIN)),
Unbounded => Included((field_id, level, f64::MIN, f64::MIN)),
};
let right_bound = Included((field_id, level, f64::MAX, f64::MAX));
let iter = db.lazily_decode_data().range(rtxn, &(left_bound, right_bound))?;
Ok(FacetNumberRange { iter, end: right })
}
}
impl<'t> Iterator for FacetNumberRange<'t> {
type Item = heed::Result<((FieldId, u8, f64, f64), RoaringBitmap)>;
fn next(&mut self) -> Option<Self::Item> {
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) => Some(Ok(((fid, level, left, right), docids))),
Err(e) => Some(Err(e)),
}
} else {
None
}
}
Some(Err(e)) => Some(Err(e)),
None => None,
}
}
}
pub struct FacetNumberRevRange<'t> {
iter: RoRevRange<'t, FacetLevelValueF64Codec, LazyDecode<CboRoaringBitmapCodec>>,
end: Bound<f64>,
}
impl<'t> FacetNumberRevRange<'t> {
pub fn new(
rtxn: &'t heed::RoTxn,
db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
field_id: FieldId,
level: u8,
left: Bound<f64>,
right: Bound<f64>,
) -> heed::Result<FacetNumberRevRange<'t>> {
let left_bound = match left {
Included(left) => Included((field_id, level, left, f64::MIN)),
Excluded(left) => Excluded((field_id, level, left, f64::MIN)),
Unbounded => Included((field_id, level, f64::MIN, f64::MIN)),
};
let right_bound = Included((field_id, level, f64::MAX, f64::MAX));
let iter = db.lazily_decode_data().rev_range(rtxn, &(left_bound, right_bound))?;
Ok(FacetNumberRevRange { iter, end: right })
}
}
impl<'t> Iterator for FacetNumberRevRange<'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 FacetNumberIter<'t> {
rtxn: &'t heed::RoTxn<'t>,
db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
field_id: FieldId,
level_iters: Vec<(RoaringBitmap, Either<FacetNumberRange<'t>, FacetNumberRevRange<'t>>)>,
must_reduce: bool,
}
impl<'t> FacetNumberIter<'t> {
/// Create a `FacetNumberIter` 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<FacetNumberIter<'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 =
FacetNumberRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
let level_iters = vec![(documents_ids, Left(highest_iter))];
Ok(FacetNumberIter { rtxn, db, field_id, level_iters, must_reduce: true })
}
/// Create a `FacetNumberIter` 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<FacetNumberIter<'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 =
FacetNumberRevRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
let level_iters = vec![(documents_ids, Right(highest_iter))];
Ok(FacetNumberIter { rtxn, db, field_id, level_iters, must_reduce: true })
}
/// Create a `FacetNumberIter` 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<FacetNumberIter<'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 =
FacetNumberRange::new(rtxn, db, field_id, highest_level, Unbounded, Unbounded)?;
let level_iters = vec![(documents_ids, Left(highest_iter))];
Ok(FacetNumberIter { 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 FacetNumberIter<'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 {
FacetNumberRange::new(rtxn, db, fid, level - 1, left, right)
.map(Left)
} else {
FacetNumberRevRange::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();
}
}
}

View File

@ -15,7 +15,7 @@ use roaring::RoaringBitmap;
use self::FilterCondition::*;
use self::Operator::*;
use super::parser::{FilterParser, Rule, PREC_CLIMBER};
use super::FacetRange;
use super::FacetNumberRange;
use crate::error::UserError;
use crate::heed_codec::facet::{FacetLevelValueF64Codec, FacetValueStringCodec};
use crate::{CboRoaringBitmapCodec, FieldId, FieldsIdsMap, Index, Result};
@ -282,7 +282,7 @@ impl FilterCondition {
// We must create a custom iterator to be able to iterate over the
// requested range as the range iterator cannot express some conditions.
let iter = FacetRange::new(rtxn, db, field_id, level, left, right)?;
let iter = FacetNumberRange::new(rtxn, db, field_id, level, left, right)?;
debug!("Iterating between {:?} and {:?} (level {})", left, right, level);

View File

@ -1,253 +1,9 @@
use std::ops::Bound::{self, Excluded, Included, Unbounded};
use either::Either::{self, Left, Right};
use heed::types::{ByteSlice, DecodeIgnore};
use heed::{Database, LazyDecode, RoRange, RoRevRange};
use roaring::RoaringBitmap;
pub use self::facet_distribution::FacetDistribution;
pub use self::facet_number::{FacetNumberIter, FacetNumberRange, FacetNumberRevRange};
pub use self::filter_condition::{FilterCondition, Operator};
pub(crate) use self::parser::Rule as ParserRule;
use crate::heed_codec::facet::FacetLevelValueF64Codec;
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::{FieldId, Index};
mod facet_distribution;
mod facet_number;
mod filter_condition;
mod parser;
pub struct FacetRange<'t> {
iter: RoRange<'t, FacetLevelValueF64Codec, LazyDecode<CboRoaringBitmapCodec>>,
end: Bound<f64>,
}
impl<'t> FacetRange<'t> {
pub fn new(
rtxn: &'t heed::RoTxn,
db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
field_id: FieldId,
level: u8,
left: Bound<f64>,
right: Bound<f64>,
) -> heed::Result<FacetRange<'t>> {
let left_bound = match left {
Included(left) => Included((field_id, level, left, f64::MIN)),
Excluded(left) => Excluded((field_id, level, left, f64::MIN)),
Unbounded => Included((field_id, level, f64::MIN, f64::MIN)),
};
let right_bound = Included((field_id, level, f64::MAX, f64::MAX));
let iter = db.lazily_decode_data().range(rtxn, &(left_bound, right_bound))?;
Ok(FacetRange { iter, end: right })
}
}
impl<'t> Iterator for FacetRange<'t> {
type Item = heed::Result<((FieldId, u8, f64, f64), RoaringBitmap)>;
fn next(&mut self) -> Option<Self::Item> {
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) => Some(Ok(((fid, level, left, right), docids))),
Err(e) => Some(Err(e)),
}
} else {
None
}
}
Some(Err(e)) => Some(Err(e)),
None => None,
}
}
}
pub struct FacetRevRange<'t> {
iter: RoRevRange<'t, FacetLevelValueF64Codec, LazyDecode<CboRoaringBitmapCodec>>,
end: Bound<f64>,
}
impl<'t> FacetRevRange<'t> {
pub fn new(
rtxn: &'t heed::RoTxn,
db: Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
field_id: FieldId,
level: u8,
left: Bound<f64>,
right: Bound<f64>,
) -> heed::Result<FacetRevRange<'t>> {
let left_bound = match left {
Included(left) => Included((field_id, level, left, f64::MIN)),
Excluded(left) => Excluded((field_id, level, left, f64::MIN)),
Unbounded => Included((field_id, level, f64::MIN, f64::MIN)),
};
let right_bound = Included((field_id, level, f64::MAX, f64::MAX));
let iter = db.lazily_decode_data().rev_range(rtxn, &(left_bound, right_bound))?;
Ok(FacetRevRange { iter, end: right })
}
}
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();
}
}
}

View File

@ -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;