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https://github.com/meilisearch/MeiliSearch
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Add some code comments
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@ -5,7 +5,9 @@ use crate::search::criteria::{resolve_query_tree, Context};
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use crate::search::query_tree::Operation;
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use crate::search::Distinct;
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use crate::Result;
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/// Initial is a mandatory criterion, it is always the first
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/// and is meant to initalize the CriterionResult used by the other criteria.
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/// It behave like an [Once Iterator](https://doc.rust-lang.org/std/iter/struct.Once.html) and will return Some(CriterionResult) only one time.
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pub struct Initial<'t, D> {
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ctx: &'t dyn Context<'t>,
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answer: Option<CriterionResult>,
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@ -38,18 +40,21 @@ impl<D: Distinct> Criterion for Initial<'_, D> {
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.take()
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.map(|mut answer| {
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if self.exhaustive_number_hits && answer.query_tree.is_some() {
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// resolve the whole query tree to retrieve an exhastive list of documents matching the query.
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let mut candidates = resolve_query_tree(
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self.ctx,
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answer.query_tree.as_ref().unwrap(),
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&mut params.wdcache,
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)?;
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// Apply the filters on the documents retrieved with the query tree.
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if let Some(ref filtered_candidates) = answer.filtered_candidates {
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candidates &= filtered_candidates;
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}
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// because the bucket_candidates should be an exhastive count of the matching documents,
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// we precompute the distinct attributes.
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let bucket_candidates = match &mut self.distinct {
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// may be really time consuming
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Some(distinct) => {
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let mut bucket_candidates = RoaringBitmap::new();
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for c in distinct.distinct(candidates.clone(), RoaringBitmap::new()) {
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@ -109,6 +109,8 @@ impl<'a> Search<'a> {
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self
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}
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/// Force the search to exhastivelly compute the number of candidates,
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/// this will increase the search time but allows finite pagination.
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pub fn exhaustive_number_hits(&mut self, exhaustive_number_hits: bool) -> &mut Search<'a> {
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self.exhaustive_number_hits = exhaustive_number_hits;
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self
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