mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-23 21:34:27 +01:00
290 lines
11 KiB
Rust
290 lines
11 KiB
Rust
use std::mem::take;
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use itertools::Itertools;
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use log::debug;
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use ordered_float::OrderedFloat;
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use roaring::RoaringBitmap;
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use super::{Criterion, CriterionParameters, CriterionResult};
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use crate::search::criteria::{resolve_query_tree, CriteriaBuilder};
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use crate::search::facet::{FacetNumberIter, FacetStringIter};
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use crate::search::query_tree::Operation;
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use crate::{FieldId, Index, Result};
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/// Threshold on the number of candidates that will make
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/// the system to choose between one algorithm or another.
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const CANDIDATES_THRESHOLD: u64 = 1000;
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pub struct AscDesc<'t> {
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index: &'t Index,
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rtxn: &'t heed::RoTxn<'t>,
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field_name: String,
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field_id: Option<FieldId>,
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is_ascending: bool,
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query_tree: Option<Operation>,
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candidates: Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>,
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allowed_candidates: RoaringBitmap,
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bucket_candidates: RoaringBitmap,
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faceted_candidates: RoaringBitmap,
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parent: Box<dyn Criterion + 't>,
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}
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impl<'t> AscDesc<'t> {
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pub fn asc(
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index: &'t Index,
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rtxn: &'t heed::RoTxn,
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parent: Box<dyn Criterion + 't>,
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field_name: String,
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) -> Result<Self> {
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Self::new(index, rtxn, parent, field_name, true)
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}
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pub fn desc(
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index: &'t Index,
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rtxn: &'t heed::RoTxn,
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parent: Box<dyn Criterion + 't>,
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field_name: String,
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) -> Result<Self> {
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Self::new(index, rtxn, parent, field_name, false)
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}
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fn new(
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index: &'t Index,
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rtxn: &'t heed::RoTxn,
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parent: Box<dyn Criterion + 't>,
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field_name: String,
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is_ascending: bool,
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) -> Result<Self> {
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let fields_ids_map = index.fields_ids_map(rtxn)?;
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let field_id = fields_ids_map.id(&field_name);
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let faceted_candidates = match field_id {
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Some(field_id) => {
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let number_faceted = index.number_faceted_documents_ids(rtxn, field_id)?;
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let string_faceted = index.string_faceted_documents_ids(rtxn, field_id)?;
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number_faceted | string_faceted
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}
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None => RoaringBitmap::default(),
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};
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Ok(AscDesc {
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index,
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rtxn,
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field_name,
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field_id,
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is_ascending,
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query_tree: None,
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candidates: Box::new(std::iter::empty()),
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allowed_candidates: RoaringBitmap::new(),
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faceted_candidates,
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bucket_candidates: RoaringBitmap::new(),
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parent,
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})
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}
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}
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impl<'t> Criterion for AscDesc<'t> {
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#[logging_timer::time("AscDesc::{}")]
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fn next(&mut self, params: &mut CriterionParameters) -> Result<Option<CriterionResult>> {
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// remove excluded candidates when next is called, instead of doing it in the loop.
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self.allowed_candidates -= params.excluded_candidates;
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loop {
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debug!(
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"Facet {}({}) iteration",
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if self.is_ascending { "Asc" } else { "Desc" },
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self.field_name
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);
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match self.candidates.next().transpose()? {
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None if !self.allowed_candidates.is_empty() => {
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return Ok(Some(CriterionResult {
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query_tree: self.query_tree.clone(),
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candidates: Some(take(&mut self.allowed_candidates)),
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filtered_candidates: None,
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bucket_candidates: Some(take(&mut self.bucket_candidates)),
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}));
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}
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None => match self.parent.next(params)? {
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Some(CriterionResult {
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query_tree,
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candidates,
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filtered_candidates,
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bucket_candidates,
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}) => {
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self.query_tree = query_tree;
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let mut candidates = match (&self.query_tree, candidates) {
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(_, Some(candidates)) => candidates,
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(Some(qt), None) => {
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let context = CriteriaBuilder::new(&self.rtxn, &self.index)?;
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resolve_query_tree(&context, qt, params.wdcache)?
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}
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(None, None) => self.index.documents_ids(self.rtxn)?,
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};
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if let Some(filtered_candidates) = filtered_candidates {
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candidates &= filtered_candidates;
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}
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match bucket_candidates {
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Some(bucket_candidates) => self.bucket_candidates |= bucket_candidates,
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None => self.bucket_candidates |= &candidates,
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}
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if candidates.is_empty() {
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continue;
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}
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self.allowed_candidates = &candidates - params.excluded_candidates;
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self.candidates = match self.field_id {
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Some(field_id) => facet_ordered(
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self.index,
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self.rtxn,
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field_id,
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self.is_ascending,
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candidates & &self.faceted_candidates,
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)?,
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None => Box::new(std::iter::empty()),
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};
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}
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None => return Ok(None),
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},
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Some(mut candidates) => {
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candidates -= params.excluded_candidates;
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self.allowed_candidates -= &candidates;
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return Ok(Some(CriterionResult {
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query_tree: self.query_tree.clone(),
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candidates: Some(candidates),
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filtered_candidates: None,
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bucket_candidates: Some(take(&mut self.bucket_candidates)),
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}));
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}
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}
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}
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}
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}
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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 recursive 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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is_ascending: bool,
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candidates: RoaringBitmap,
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) -> Result<Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>> {
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if candidates.len() <= CANDIDATES_THRESHOLD {
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let number_iter = iterative_facet_number_ordered_iter(
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index,
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rtxn,
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field_id,
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is_ascending,
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candidates.clone(),
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)?;
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let string_iter =
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iterative_facet_string_ordered_iter(index, rtxn, field_id, is_ascending, candidates)?;
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Ok(Box::new(number_iter.chain(string_iter).map(Ok)) as Box<dyn Iterator<Item = _>>)
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} else {
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let facet_number_fn = if is_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 number_iter = facet_number_fn(rtxn, index, field_id, candidates.clone())?
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.map(|res| res.map(|(_, docids)| docids));
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let facet_string_fn = if is_ascending {
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FacetStringIter::new_reducing
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} else {
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FacetStringIter::new_reverse_reducing
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};
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let string_iter = facet_string_fn(rtxn, index, field_id, candidates)?
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.map(|res| res.map(|(_, _, docids)| docids));
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Ok(Box::new(number_iter.chain(string_iter)))
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}
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}
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/// Fetch the whole list of candidates facet number 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_number_ordered_iter<'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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is_ascending: bool,
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candidates: RoaringBitmap,
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) -> Result<impl Iterator<Item = RoaringBitmap> + 't> {
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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 = index.field_id_docid_facet_f64s.range(rtxn, &(left..=right))?;
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let entry = if is_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(|(_, v)| *v);
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let iter = docids_values.into_iter();
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let iter = if is_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
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.group_by(|(_, v)| *v)
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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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/// Fetch the whole list of candidates facet string 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_string_ordered_iter<'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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is_ascending: bool,
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candidates: RoaringBitmap,
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) -> Result<impl Iterator<Item = RoaringBitmap> + 't> {
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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, "");
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let right = (field_id, docid.saturating_add(1), "");
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// FIXME Doing this means that it will never be possible to retrieve
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// the document with id 2^32, not sure this is a real problem.
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let mut iter = index.field_id_docid_facet_strings.range(rtxn, &(left..right))?;
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let entry = if is_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(|(_, v)| *v);
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let iter = docids_values.into_iter();
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let iter = if is_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
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.group_by(|(_, v)| *v)
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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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