mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-22 10:07:40 +08:00
never store the _vectors as searchable or faceted fields
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parent
4148fbbe85
commit
7a84697570
@ -4,7 +4,7 @@ use std::collections::HashMap;
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use serde::{Deserialize, Serialize};
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use crate::{FieldId, FieldsIdsMap, Weight};
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use crate::{vector::parsed_vectors::RESERVED_VECTORS_FIELD_NAME, FieldId, FieldsIdsMap, Weight};
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#[derive(Debug, Default, Serialize, Deserialize)]
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pub struct FieldidsWeightsMap {
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@ -23,7 +23,13 @@ impl FieldidsWeightsMap {
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/// Should only be called in the case there are NO searchable attributes.
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/// All the fields will be inserted in the order of the fields ids map with a weight of 0.
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pub fn from_field_id_map_without_searchable(fid_map: &FieldsIdsMap) -> Self {
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FieldidsWeightsMap { map: fid_map.ids().map(|fid| (fid, 0)).collect() }
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FieldidsWeightsMap {
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map: fid_map
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.iter()
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.filter(|(_fid, name)| !crate::is_faceted_by(name, RESERVED_VECTORS_FIELD_NAME))
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.map(|(fid, _name)| (fid, 0))
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.collect(),
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}
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}
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/// Removes a field id from the map, returning the associated weight previously in the map.
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@ -23,6 +23,7 @@ use crate::heed_codec::{
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};
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use crate::order_by_map::OrderByMap;
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use crate::proximity::ProximityPrecision;
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use crate::vector::parsed_vectors::RESERVED_VECTORS_FIELD_NAME;
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use crate::vector::{Embedding, EmbeddingConfig};
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use crate::{
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default_criteria, CboRoaringBitmapCodec, Criterion, DocumentId, ExternalDocumentsIds,
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@ -644,6 +645,7 @@ impl Index {
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&self,
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wtxn: &mut RwTxn,
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user_fields: &[&str],
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non_searchable_fields_ids: &[FieldId],
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fields_ids_map: &FieldsIdsMap,
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) -> Result<()> {
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// We can write the user defined searchable fields as-is.
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@ -662,6 +664,7 @@ impl Index {
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for (weight, user_field) in user_fields.iter().enumerate() {
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if crate::is_faceted_by(field_from_map, user_field)
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&& !real_fields.contains(&field_from_map)
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&& !non_searchable_fields_ids.contains(&id)
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{
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real_fields.push(field_from_map);
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@ -708,6 +711,7 @@ impl Index {
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Ok(self
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.fields_ids_map(rtxn)?
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.names()
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.filter(|name| !crate::is_faceted_by(name, RESERVED_VECTORS_FIELD_NAME))
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.map(|field| Cow::Owned(field.to_string()))
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.collect())
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})
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@ -1669,15 +1673,17 @@ pub(crate) mod tests {
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use big_s::S;
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use heed::{EnvOpenOptions, RwTxn};
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use maplit::hashset;
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use maplit::{btreemap, hashset};
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use tempfile::TempDir;
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use crate::documents::DocumentsBatchReader;
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use crate::error::{Error, InternalError};
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use crate::index::{DEFAULT_MIN_WORD_LEN_ONE_TYPO, DEFAULT_MIN_WORD_LEN_TWO_TYPOS};
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use crate::update::{
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self, IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Settings,
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self, IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Setting,
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Settings,
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};
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use crate::vector::settings::{EmbedderSource, EmbeddingSettings};
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use crate::{db_snap, obkv_to_json, Filter, Index, Search, SearchResult};
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pub(crate) struct TempIndex {
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@ -2783,4 +2789,95 @@ pub(crate) mod tests {
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]
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"###);
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}
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#[test]
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fn vectors_are_never_indexed_as_searchable_or_filterable() {
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let index = TempIndex::new();
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index
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.add_documents(documents!([
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{ "id": 0, "_vectors": { "doggo": [2345] } },
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{ "id": 1, "_vectors": { "doggo": [6789] } },
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]))
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.unwrap();
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db_snap!(index, fields_ids_map, @r###"
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0 id |
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1 _vectors |
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2 _vectors.doggo |
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"###);
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db_snap!(index, searchable_fields, @r###"["id"]"###);
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db_snap!(index, fieldids_weights_map, @r###"
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fid weight
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0 0 |
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"###);
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let rtxn = index.read_txn().unwrap();
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let mut search = index.search(&rtxn);
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let results = search.query("2345").execute().unwrap();
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assert!(results.candidates.is_empty());
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drop(rtxn);
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index
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.update_settings(|settings| {
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settings.set_searchable_fields(vec![S("_vectors"), S("_vectors.doggo")]);
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settings.set_filterable_fields(hashset![S("_vectors"), S("_vectors.doggo")]);
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})
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.unwrap();
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db_snap!(index, fields_ids_map, @r###"
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0 id |
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1 _vectors |
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2 _vectors.doggo |
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"###);
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db_snap!(index, searchable_fields, @"[]");
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db_snap!(index, fieldids_weights_map, @r###"
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fid weight
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"###);
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let rtxn = index.read_txn().unwrap();
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let mut search = index.search(&rtxn);
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let results = search.query("2345").execute().unwrap();
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assert!(results.candidates.is_empty());
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let mut search = index.search(&rtxn);
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let results = search
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.filter(Filter::from_str("_vectors.doggo = 6789").unwrap().unwrap())
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.execute()
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.unwrap();
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assert!(results.candidates.is_empty());
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index
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.update_settings(|settings| {
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settings.set_embedder_settings(btreemap! {
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S("doggo") => Setting::Set(EmbeddingSettings {
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dimensions: Setting::Set(1),
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source: Setting::Set(EmbedderSource::UserProvided),
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..EmbeddingSettings::default()}),
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});
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})
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.unwrap();
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db_snap!(index, fields_ids_map, @r###"
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0 id |
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1 _vectors |
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2 _vectors.doggo |
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"###);
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db_snap!(index, searchable_fields, @"[]");
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db_snap!(index, fieldids_weights_map, @r###"
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fid weight
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"###);
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let rtxn = index.read_txn().unwrap();
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let mut search = index.search(&rtxn);
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let results = search.query("2345").execute().unwrap();
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assert!(results.candidates.is_empty());
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let mut search = index.search(&rtxn);
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let results = search
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.filter(Filter::from_str("_vectors.doggo = 6789").unwrap().unwrap())
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.execute()
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.unwrap();
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assert!(results.candidates.is_empty());
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}
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}
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@ -19,6 +19,7 @@ use crate::order_by_map::OrderByMap;
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use crate::proximity::ProximityPrecision;
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use crate::update::index_documents::IndexDocumentsMethod;
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use crate::update::{IndexDocuments, UpdateIndexingStep};
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use crate::vector::parsed_vectors::RESERVED_VECTORS_FIELD_NAME;
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use crate::vector::settings::{check_set, check_unset, EmbedderSource, EmbeddingSettings};
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use crate::vector::{Embedder, EmbeddingConfig, EmbeddingConfigs};
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use crate::{FieldId, FieldsIdsMap, Index, Result};
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@ -490,6 +491,7 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
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self.index.put_all_searchable_fields_from_fields_ids_map(
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self.wtxn,
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&names,
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&fields_ids_map.nested_ids(RESERVED_VECTORS_FIELD_NAME),
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&fields_ids_map,
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)?;
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self.index.put_fields_ids_map(self.wtxn, &fields_ids_map)?;
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@ -1252,6 +1254,8 @@ pub(crate) struct InnerIndexSettings {
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pub embedding_configs: EmbeddingConfigs,
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pub existing_fields: HashSet<String>,
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pub geo_fields_ids: Option<(FieldId, FieldId)>,
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pub non_searchable_fields_ids: Vec<FieldId>,
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pub non_faceted_fields_ids: Vec<FieldId>,
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}
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impl InnerIndexSettings {
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@ -1265,8 +1269,8 @@ impl InnerIndexSettings {
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let user_defined_searchable_fields =
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user_defined_searchable_fields.map(|sf| sf.into_iter().map(String::from).collect());
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let user_defined_faceted_fields = index.user_defined_faceted_fields(rtxn)?;
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let searchable_fields_ids = index.searchable_fields_ids(rtxn)?;
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let faceted_fields_ids = index.faceted_fields_ids(rtxn)?;
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let mut searchable_fields_ids = index.searchable_fields_ids(rtxn)?;
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let mut faceted_fields_ids = index.faceted_fields_ids(rtxn)?;
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let exact_attributes = index.exact_attributes_ids(rtxn)?;
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let proximity_precision = index.proximity_precision(rtxn)?.unwrap_or_default();
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let embedding_configs = embedders(index.embedding_configs(rtxn)?)?;
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@ -1294,6 +1298,10 @@ impl InnerIndexSettings {
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None => None,
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};
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let vectors_fids = fields_ids_map.nested_ids(RESERVED_VECTORS_FIELD_NAME);
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searchable_fields_ids.retain(|id| !vectors_fids.contains(id));
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faceted_fields_ids.retain(|id| !vectors_fids.contains(id));
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Ok(Self {
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stop_words,
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allowed_separators,
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@ -1308,6 +1316,8 @@ impl InnerIndexSettings {
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embedding_configs,
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existing_fields,
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geo_fields_ids,
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non_searchable_fields_ids: vectors_fids.clone(),
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non_faceted_fields_ids: vectors_fids.clone(),
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})
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}
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@ -1315,9 +1325,10 @@ impl InnerIndexSettings {
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pub fn recompute_facets(&mut self, wtxn: &mut heed::RwTxn, index: &Index) -> Result<()> {
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let new_facets = self
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.fields_ids_map
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.names()
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.filter(|&field| crate::is_faceted(field, &self.user_defined_faceted_fields))
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.map(|field| field.to_string())
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.iter()
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.filter(|(fid, _field)| !self.non_faceted_fields_ids.contains(fid))
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.filter(|(_fid, field)| crate::is_faceted(field, &self.user_defined_faceted_fields))
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.map(|(_fid, field)| field.to_string())
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.collect();
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index.put_faceted_fields(wtxn, &new_facets)?;
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@ -1337,6 +1348,7 @@ impl InnerIndexSettings {
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index.put_all_searchable_fields_from_fields_ids_map(
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wtxn,
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&searchable_fields,
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&self.non_searchable_fields_ids,
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&self.fields_ids_map,
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)?;
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}
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