mirror of
https://github.com/meilisearch/meilisearch.git
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119 lines
4.0 KiB
Rust
119 lines
4.0 KiB
Rust
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use heed::RoTxn;
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use roaring::RoaringBitmap;
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use super::{
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db_cache::DatabaseCache, RankingRule, RankingRuleOutput, RankingRuleOutputIter,
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RankingRuleOutputIterWrapper, RankingRuleQueryTrait,
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};
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use crate::{
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// facet::FacetType,
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heed_codec::{facet::FacetGroupKeyCodec, ByteSliceRefCodec},
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search::facet::{ascending_facet_sort, descending_facet_sort},
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FieldId,
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Index,
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Result,
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};
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// TODO: The implementation of Sort is not correct:
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// (1) it should not return documents it has already returned (does the current implementation have the same bug?)
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// (2) at the end, it should return all the remaining documents (this could be ensured at the trait level?)
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pub struct Sort<'transaction, Query> {
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field_id: Option<FieldId>,
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is_ascending: bool,
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iter: Option<RankingRuleOutputIterWrapper<'transaction, Query>>,
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}
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impl<'transaction, Query> Sort<'transaction, Query> {
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pub fn new(
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index: &'transaction Index,
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rtxn: &'transaction heed::RoTxn,
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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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// TODO: What is this, why?
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// let faceted_candidates = match field_id {
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// Some(field_id) => {
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// let number_faceted =
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// index.faceted_documents_ids(rtxn, field_id, FacetType::Number)?;
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// let string_faceted =
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// index.faceted_documents_ids(rtxn, field_id, FacetType::String)?;
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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(Self { field_id, is_ascending, iter: None })
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}
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}
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impl<'transaction, Query: RankingRuleQueryTrait> RankingRule<'transaction, Query>
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for Sort<'transaction, Query>
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{
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fn start_iteration(
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&mut self,
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index: &Index,
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txn: &'transaction RoTxn,
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_db_cache: &mut DatabaseCache<'transaction>,
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parent_candidates: &RoaringBitmap,
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parent_query_graph: &Query,
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) -> Result<()> {
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let iter: RankingRuleOutputIterWrapper<Query> = match self.field_id {
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Some(field_id) => {
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let make_iter =
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if self.is_ascending { ascending_facet_sort } else { descending_facet_sort };
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let number_iter = make_iter(
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txn,
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index
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.facet_id_f64_docids
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.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>(),
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field_id,
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parent_candidates.clone(),
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)?;
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let string_iter = make_iter(
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txn,
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index
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.facet_id_string_docids
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.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>(),
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field_id,
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parent_candidates.clone(),
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)?;
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let query_graph = parent_query_graph.clone();
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RankingRuleOutputIterWrapper::new(Box::new(number_iter.chain(string_iter).map(
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move |docids| {
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Ok(RankingRuleOutput { query: query_graph.clone(), candidates: docids? })
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},
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)))
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}
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None => RankingRuleOutputIterWrapper::new(Box::new(std::iter::empty())),
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};
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self.iter = Some(iter);
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Ok(())
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}
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fn next_bucket(
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&mut self,
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_index: &Index,
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_txn: &'transaction RoTxn,
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_db_cache: &mut DatabaseCache<'transaction>,
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_universe: &RoaringBitmap,
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) -> Result<Option<RankingRuleOutput<Query>>> {
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let iter = self.iter.as_mut().unwrap();
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// TODO: we should make use of the universe in the function below
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iter.next_bucket()
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}
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fn end_iteration(
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&mut self,
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_index: &Index,
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_txn: &'transaction RoTxn,
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_db_cache: &mut DatabaseCache<'transaction>,
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) {
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self.iter = None;
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}
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}
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