meilisearch/milli/src/search/new/sort.rs

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use heed::RoTxn;
use roaring::RoaringBitmap;
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use super::db_cache::DatabaseCache;
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use super::logger::SearchLogger;
use super::{
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RankingRule, RankingRuleOutput, RankingRuleOutputIter, RankingRuleOutputIterWrapper,
RankingRuleQueryTrait,
};
use crate::{
// facet::FacetType,
heed_codec::{facet::FacetGroupKeyCodec, ByteSliceRefCodec},
search::facet::{ascending_facet_sort, descending_facet_sort},
FieldId,
Index,
Result,
};
pub struct Sort<'transaction, Query> {
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field_name: String,
field_id: Option<FieldId>,
is_ascending: bool,
original_query: Option<Query>,
iter: Option<RankingRuleOutputIterWrapper<'transaction, Query>>,
}
impl<'transaction, Query> Sort<'transaction, Query> {
pub fn new(
index: &Index,
rtxn: &'transaction heed::RoTxn,
field_name: String,
is_ascending: bool,
) -> Result<Self> {
let fields_ids_map = index.fields_ids_map(rtxn)?;
let field_id = fields_ids_map.id(&field_name);
Ok(Self { field_name, field_id, is_ascending, original_query: None, iter: None })
}
}
impl<'transaction, Query: RankingRuleQueryTrait> RankingRule<'transaction, Query>
for Sort<'transaction, Query>
{
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fn id(&self) -> String {
let Self { field_name, is_ascending, .. } = self;
format!("{field_name}:{}", if *is_ascending { "asc" } else { "desc " })
}
fn start_iteration(
&mut self,
index: &Index,
txn: &'transaction RoTxn,
_db_cache: &mut DatabaseCache<'transaction>,
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_logger: &mut dyn SearchLogger<Query>,
parent_candidates: &RoaringBitmap,
parent_query_graph: &Query,
) -> Result<()> {
let iter: RankingRuleOutputIterWrapper<Query> = match self.field_id {
Some(field_id) => {
let make_iter =
if self.is_ascending { ascending_facet_sort } else { descending_facet_sort };
let number_iter = make_iter(
txn,
index
.facet_id_f64_docids
.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>(),
field_id,
parent_candidates.clone(),
)?;
let string_iter = make_iter(
txn,
index
.facet_id_string_docids
.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>(),
field_id,
parent_candidates.clone(),
)?;
let query_graph = parent_query_graph.clone();
RankingRuleOutputIterWrapper::new(Box::new(number_iter.chain(string_iter).map(
move |docids| {
Ok(RankingRuleOutput { query: query_graph.clone(), candidates: docids? })
},
)))
}
None => RankingRuleOutputIterWrapper::new(Box::new(std::iter::empty())),
};
self.original_query = Some(parent_query_graph.clone());
self.iter = Some(iter);
Ok(())
}
fn next_bucket(
&mut self,
_index: &Index,
_txn: &'transaction RoTxn,
_db_cache: &mut DatabaseCache<'transaction>,
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_logger: &mut dyn SearchLogger<Query>,
universe: &RoaringBitmap,
) -> Result<Option<RankingRuleOutput<Query>>> {
let iter = self.iter.as_mut().unwrap();
// TODO: we should make use of the universe in the function below
if let Some(mut bucket) = iter.next_bucket()? {
bucket.candidates &= universe;
Ok(Some(bucket))
} else {
let query = self.original_query.as_ref().unwrap().clone();
Ok(Some(RankingRuleOutput { query, candidates: universe.clone() }))
}
}
fn end_iteration(
&mut self,
_index: &Index,
_txn: &'transaction RoTxn,
_db_cache: &mut DatabaseCache<'transaction>,
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_logger: &mut dyn SearchLogger<Query>,
) {
self.original_query = None;
self.iter = None;
}
}