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Add an exhaustiveFacetCount field to the facet-search API

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This commit is contained in:
ManyTheFish 2025-02-26 08:45:13 +01:00
parent 5e7803632d
commit c7333a06c5
2 changed files with 18 additions and 2 deletions
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1
crates/meilisearch-types/src/error.rs
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@ -281,6 +281,7 @@ InvalidSearchCropMarker , InvalidRequest , BAD_REQUEST ;
InvalidSearchFacets , InvalidRequest , BAD_REQUEST ;
InvalidSearchSemanticRatio , InvalidRequest , BAD_REQUEST ;
InvalidSearchLocales , InvalidRequest , BAD_REQUEST ;
InvalidFacetSearchExhaustiveFacetCount, InvalidRequest , BAD_REQUEST ;
InvalidFacetSearchFacetName , InvalidRequest , BAD_REQUEST ;
InvalidSimilarId , InvalidRequest , BAD_REQUEST ;
InvalidSearchFilter , InvalidRequest , BAD_REQUEST ;

19
crates/meilisearch/src/routes/indexes/facet_search.rs
View File

@ -68,6 +68,8 @@ pub struct FacetSearchQuery {
pub ranking_score_threshold: Option<RankingScoreThreshold>,
#[deserr(default, error = DeserrJsonError<InvalidSearchLocales>, default)]
pub locales: Option<Vec<Locale>>,
#[deserr(default, error = DeserrJsonError<InvalidFacetSearchExhaustiveFacetCount>, default)]
pub exhaustive_facet_count: Option<bool>,
}
#[derive(Default)]
@ -98,6 +100,7 @@ impl FacetSearchAggregator {
hybrid,
ranking_score_threshold,
locales,
exhaustive_facet_count,
} = query;
Self {
@ -110,7 +113,8 @@ impl FacetSearchAggregator {
|| attributes_to_search_on.is_some()
|| hybrid.is_some()
|| ranking_score_threshold.is_some()
|| locales.is_some(),
|| locales.is_some()
|| exhaustive_facet_count.is_some(),
..Default::default()
}
}
@ -293,13 +297,24 @@ impl From<FacetSearchQuery> for SearchQuery {
hybrid,
ranking_score_threshold,
locales,
exhaustive_facet_count,
} = value;
// If exhaustive_facet_count is true, we need to set the page to 0
// because the facet search is not exhaustive by default.
let page = if exhaustive_facet_count.map_or(false, |exhaustive| exhaustive) {
// setting the page to 0 will force the search to be exhaustive when computing the number of hits,
// but it will skip the bucket sort saving time.
Some(0)
} else {
None
};
SearchQuery {
q,
offset: DEFAULT_SEARCH_OFFSET(),
limit: DEFAULT_SEARCH_LIMIT(),
page: None,
page,
hits_per_page: None,
attributes_to_retrieve: None,
retrieve_vectors: false,