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https://github.com/meilisearch/MeiliSearch
synced 2024-12-23 21:20:24 +01:00
Index geo points based on the settings differences
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parent
0f78703b85
commit
fc7e817221
@ -8,6 +8,7 @@ use super::helpers::{create_writer, writer_into_reader, GrenadParameters};
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use crate::error::GeoError;
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use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
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use crate::update::index_documents::extract_finite_float_from_value;
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use crate::update::settings::{InnerIndexSettings, InnerIndexSettingsDiff};
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use crate::{FieldId, InternalError, Result};
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/// Extracts the geographical coordinates contained in each document under the `_geo` field.
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@ -18,7 +19,7 @@ pub fn extract_geo_points<R: io::Read + io::Seek>(
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obkv_documents: grenad::Reader<R>,
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indexer: GrenadParameters,
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primary_key_id: FieldId,
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(lat_fid, lng_fid): (FieldId, FieldId),
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settings_diff: &InnerIndexSettingsDiff,
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) -> Result<grenad::Reader<BufReader<File>>> {
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puffin::profile_function!();
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@ -40,23 +41,12 @@ pub fn extract_geo_points<R: io::Read + io::Seek>(
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serde_json::from_slice(document_id).unwrap()
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};
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// first we get the two fields
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match (obkv.get(lat_fid), obkv.get(lng_fid)) {
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(Some(lat), Some(lng)) => {
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let deladd_lat_obkv = KvReaderDelAdd::new(lat);
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let deladd_lng_obkv = KvReaderDelAdd::new(lng);
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// then we extract the values
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let del_lat_lng = deladd_lat_obkv
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.get(DelAdd::Deletion)
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.zip(deladd_lng_obkv.get(DelAdd::Deletion))
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.map(|(lat, lng)| extract_lat_lng(lat, lng, document_id))
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.transpose()?;
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let add_lat_lng = deladd_lat_obkv
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.get(DelAdd::Addition)
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.zip(deladd_lng_obkv.get(DelAdd::Addition))
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.map(|(lat, lng)| extract_lat_lng(lat, lng, document_id))
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.transpose()?;
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// extract old version
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let del_lat_lng =
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extract_lat_lng(&obkv, &settings_diff.old, DelAdd::Deletion, &document_id)?;
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// extract new version
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let add_lat_lng =
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extract_lat_lng(&obkv, &settings_diff.new, DelAdd::Addition, &document_id)?;
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if del_lat_lng != add_lat_lng {
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let mut obkv = KvWriterDelAdd::memory();
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@ -74,21 +64,31 @@ pub fn extract_geo_points<R: io::Read + io::Seek>(
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writer.insert(docid_bytes, bytes)?;
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}
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}
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(None, Some(_)) => {
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return Err(GeoError::MissingLatitude { document_id: document_id() }.into())
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}
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(Some(_), None) => {
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return Err(GeoError::MissingLongitude { document_id: document_id() }.into())
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}
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(None, None) => (),
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}
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}
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writer_into_reader(writer)
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}
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/// Extract the finite floats lat and lng from two bytes slices.
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fn extract_lat_lng(lat: &[u8], lng: &[u8], document_id: impl Fn() -> Value) -> Result<[f64; 2]> {
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fn extract_lat_lng(
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document: &obkv::KvReader<FieldId>,
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settings: &InnerIndexSettings,
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deladd: DelAdd,
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document_id: impl Fn() -> Value,
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) -> Result<Option<[f64; 2]>> {
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match settings.geo_fields_ids {
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Some((lat_fid, lng_fid)) => {
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let lat = document.get(lat_fid).map(KvReaderDelAdd::new).and_then(|r| r.get(deladd));
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let lng = document.get(lng_fid).map(KvReaderDelAdd::new).and_then(|r| r.get(deladd));
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let (lat, lng) = match (lat, lng) {
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(Some(lat), Some(lng)) => (lat, lng),
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(Some(lat), None) => {
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return Err(GeoError::MissingLatitude { document_id: document_id() }.into())
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}
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(None, Some(lng)) => {
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return Err(GeoError::MissingLongitude { document_id: document_id() }.into())
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}
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(None, None) => return Ok(None),
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};
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let lat = extract_finite_float_from_value(
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serde_json::from_slice(lat).map_err(InternalError::SerdeJson)?,
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)
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@ -98,6 +98,8 @@ fn extract_lat_lng(lat: &[u8], lng: &[u8], document_id: impl Fn() -> Value) -> R
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serde_json::from_slice(lng).map_err(InternalError::SerdeJson)?,
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)
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.map_err(|lng| GeoError::BadLongitude { document_id: document_id(), value: lng })?;
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Ok([lat, lng])
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Ok(Some([lat, lng]))
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}
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None => Ok(None),
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}
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}
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@ -43,7 +43,6 @@ pub(crate) fn data_from_obkv_documents(
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indexer: GrenadParameters,
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lmdb_writer_sx: Sender<Result<TypedChunk>>,
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primary_key_id: FieldId,
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geo_fields_ids: Option<(FieldId, FieldId)>,
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settings_diff: Arc<InnerIndexSettingsDiff>,
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max_positions_per_attributes: Option<u32>,
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) -> Result<()> {
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@ -72,7 +71,6 @@ pub(crate) fn data_from_obkv_documents(
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indexer,
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lmdb_writer_sx.clone(),
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primary_key_id,
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geo_fields_ids,
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settings_diff.clone(),
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max_positions_per_attributes,
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)
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@ -300,7 +298,6 @@ fn send_and_extract_flattened_documents_data(
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indexer: GrenadParameters,
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lmdb_writer_sx: Sender<Result<TypedChunk>>,
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primary_key_id: FieldId,
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geo_fields_ids: Option<(FieldId, FieldId)>,
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settings_diff: Arc<InnerIndexSettingsDiff>,
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max_positions_per_attributes: Option<u32>,
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) -> Result<(
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@ -310,12 +307,12 @@ fn send_and_extract_flattened_documents_data(
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let flattened_documents_chunk =
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flattened_documents_chunk.and_then(|c| unsafe { as_cloneable_grenad(&c) })?;
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if let Some(geo_fields_ids) = geo_fields_ids {
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if settings_diff.run_geo_indexing() {
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let documents_chunk_cloned = flattened_documents_chunk.clone();
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let lmdb_writer_sx_cloned = lmdb_writer_sx.clone();
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rayon::spawn(move || {
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let result =
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extract_geo_points(documents_chunk_cloned, indexer, primary_key_id, geo_fields_ids);
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extract_geo_points(documents_chunk_cloned, indexer, primary_key_id, &settings_diff);
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let _ = match result {
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Ok(geo_points) => lmdb_writer_sx_cloned.send(Ok(TypedChunk::GeoPoints(geo_points))),
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Err(error) => lmdb_writer_sx_cloned.send(Err(error)),
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@ -327,25 +327,6 @@ where
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// get the fid of the `_geo.lat` and `_geo.lng` fields.
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let mut field_id_map = self.index.fields_ids_map(self.wtxn)?;
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// self.index.fields_ids_map($a)? ==>> field_id_map
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let geo_fields_ids = match field_id_map.id("_geo") {
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Some(gfid) => {
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let is_sortable = self.index.sortable_fields_ids(self.wtxn)?.contains(&gfid);
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let is_filterable = self.index.filterable_fields_ids(self.wtxn)?.contains(&gfid);
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// if `_geo` is faceted then we get the `lat` and `lng`
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if is_sortable || is_filterable {
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let field_ids = field_id_map
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.insert("_geo.lat")
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.zip(field_id_map.insert("_geo.lng"))
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.ok_or(UserError::AttributeLimitReached)?;
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Some(field_ids)
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} else {
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None
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}
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}
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None => None,
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};
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let pool_params = GrenadParameters {
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chunk_compression_type: self.indexer_config.chunk_compression_type,
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chunk_compression_level: self.indexer_config.chunk_compression_level,
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@ -412,7 +393,6 @@ where
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pool_params,
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lmdb_writer_sx.clone(),
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primary_key_id,
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geo_fields_ids,
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settings_diff.clone(),
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max_positions_per_attributes,
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)
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@ -1161,6 +1161,11 @@ impl InnerIndexSettingsDiff {
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pub fn settings_update_only(&self) -> bool {
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self.settings_update_only
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}
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pub fn run_geo_indexing(&self) -> bool {
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self.old.geo_fields_ids != self.new.geo_fields_ids
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|| (!self.settings_update_only && self.new.geo_fields_ids.is_some())
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}
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}
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#[derive(Clone)]
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@ -1177,6 +1182,7 @@ pub(crate) struct InnerIndexSettings {
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pub proximity_precision: ProximityPrecision,
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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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}
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impl InnerIndexSettings {
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@ -1200,6 +1206,24 @@ impl InnerIndexSettings {
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.into_iter()
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.filter_map(|(field, count)| (count != 0).then_some(field))
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.collect();
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// index.fields_ids_map($a)? ==>> fields_ids_map
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let geo_fields_ids = match fields_ids_map.id("_geo") {
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Some(gfid) => {
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let is_sortable = index.sortable_fields_ids(rtxn)?.contains(&gfid);
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let is_filterable = index.filterable_fields_ids(rtxn)?.contains(&gfid);
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// if `_geo` is faceted then we get the `lat` and `lng`
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if is_sortable || is_filterable {
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let field_ids = fields_ids_map
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.insert("_geo.lat")
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.zip(fields_ids_map.insert("_geo.lng"))
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.ok_or(UserError::AttributeLimitReached)?;
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Some(field_ids)
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} else {
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None
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}
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}
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None => None,
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};
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Ok(Self {
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stop_words,
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@ -1214,6 +1238,7 @@ impl InnerIndexSettings {
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proximity_precision,
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embedding_configs,
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existing_fields,
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geo_fields_ids,
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})
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}
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