use std::collections::btree_map::Entry; use std::collections::HashMap; use fst::IntoStreamer; use heed::types::ByteSlice; use heed::{BytesDecode, BytesEncode}; use roaring::RoaringBitmap; use serde::{Deserialize, Serialize}; use serde_json::Value; use time::OffsetDateTime; use super::ClearDocuments; use crate::error::{InternalError, SerializationError, UserError}; use crate::heed_codec::facet::{ FacetLevelValueU32Codec, FacetStringLevelZeroValueCodec, FacetStringZeroBoundsValueCodec, }; use crate::heed_codec::CboRoaringBitmapCodec; use crate::index::{db_name, main_key}; use crate::{DocumentId, ExternalDocumentsIds, FieldId, Index, Result, SmallString32, BEU32}; pub struct DeleteDocuments<'t, 'u, 'i> { wtxn: &'t mut heed::RwTxn<'i, 'u>, index: &'i Index, external_documents_ids: ExternalDocumentsIds<'static>, documents_ids: RoaringBitmap, } #[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] pub struct DocumentDeletionResult { pub deleted_documents: u64, pub remaining_documents: u64, } impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> { pub fn new( wtxn: &'t mut heed::RwTxn<'i, 'u>, index: &'i Index, ) -> Result> { let external_documents_ids = index.external_documents_ids(wtxn)?.into_static(); Ok(DeleteDocuments { wtxn, index, external_documents_ids, documents_ids: RoaringBitmap::new(), }) } pub fn delete_document(&mut self, docid: u32) { self.documents_ids.insert(docid); } pub fn delete_documents(&mut self, docids: &RoaringBitmap) { self.documents_ids |= docids; } pub fn delete_external_id(&mut self, external_id: &str) -> Option { let docid = self.external_documents_ids.get(external_id)?; self.delete_document(docid); Some(docid) } pub fn execute(self) -> Result { self.index.set_updated_at(self.wtxn, &OffsetDateTime::now_utc())?; // We retrieve the current documents ids that are in the database. let mut documents_ids = self.index.documents_ids(self.wtxn)?; let current_documents_ids_len = documents_ids.len(); // We can and must stop removing documents in a database that is empty. if documents_ids.is_empty() { return Ok(DocumentDeletionResult { deleted_documents: 0, remaining_documents: current_documents_ids_len, }); } // We remove the documents ids that we want to delete // from the documents in the database and write them back. documents_ids -= &self.documents_ids; self.index.put_documents_ids(self.wtxn, &documents_ids)?; // We can execute a ClearDocuments operation when the number of documents // to delete is exactly the number of documents in the database. if current_documents_ids_len == self.documents_ids.len() { let remaining_documents = ClearDocuments::new(self.wtxn, self.index).execute()?; return Ok(DocumentDeletionResult { deleted_documents: current_documents_ids_len, remaining_documents, }); } let fields_ids_map = self.index.fields_ids_map(self.wtxn)?; let primary_key = self.index.primary_key(self.wtxn)?.ok_or_else(|| { InternalError::DatabaseMissingEntry { db_name: db_name::MAIN, key: Some(main_key::PRIMARY_KEY_KEY), } })?; // Since we already checked if the DB was empty, if we can't find the primary key, then // something is wrong, and we must return an error. let id_field = match fields_ids_map.id(primary_key) { Some(field) => field, None => return Err(UserError::MissingPrimaryKey.into()), }; let Index { env: _env, main: _main, word_docids, word_prefix_docids, docid_word_positions, word_pair_proximity_docids, field_id_word_count_docids, word_prefix_pair_proximity_docids, word_position_docids, word_prefix_position_docids, facet_id_f64_docids, facet_id_string_docids, field_id_docid_facet_f64s, field_id_docid_facet_strings, documents, } = self.index; // Number of fields for each document that has been deleted. let mut fields_ids_distribution_diff = HashMap::new(); // Retrieve the words and the external documents ids contained in the documents. let mut words = Vec::new(); let mut external_ids = Vec::new(); for docid in &self.documents_ids { // We create an iterator to be able to get the content and delete the document // content itself. It's faster to acquire a cursor to get and delete, // as we avoid traversing the LMDB B-Tree two times but only once. let key = BEU32::new(docid); let mut iter = documents.range_mut(self.wtxn, &(key..=key))?; if let Some((_key, obkv)) = iter.next().transpose()? { for (field_id, _) in obkv.iter() { *fields_ids_distribution_diff.entry(field_id).or_default() += 1; } if let Some(content) = obkv.get(id_field) { let external_id = match serde_json::from_slice(content).unwrap() { Value::String(string) => SmallString32::from(string.as_str()), Value::Number(number) => SmallString32::from(number.to_string()), document_id => { return Err(UserError::InvalidDocumentId { document_id }.into()) } }; external_ids.push(external_id); } // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } drop(iter); // We iterate through the words positions of the document id, // retrieve the word and delete the positions. let mut iter = docid_word_positions.prefix_iter_mut(self.wtxn, &(docid, ""))?; while let Some(result) = iter.next() { let ((_docid, word), _positions) = result?; // This boolean will indicate if we must remove this word from the words FST. words.push((SmallString32::from(word), false)); // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } } let mut field_distribution = self.index.field_distribution(self.wtxn)?; // We use pre-calculated number of fields occurrences that needs to be deleted // to reflect deleted documents. // If all field occurrences are removed, delete the entry from distribution. // Otherwise, insert new number of occurrences (current_count - count_diff). for (field_id, count_diff) in fields_ids_distribution_diff { let field_name = fields_ids_map.name(field_id).unwrap(); if let Entry::Occupied(mut entry) = field_distribution.entry(field_name.to_string()) { match entry.get().checked_sub(count_diff) { Some(0) | None => entry.remove(), Some(count) => entry.insert(count), }; } } self.index.put_field_distribution(self.wtxn, &field_distribution)?; // We create the FST map of the external ids that we must delete. external_ids.sort_unstable(); let external_ids_to_delete = fst::Set::from_iter(external_ids.iter().map(AsRef::as_ref))?; // We acquire the current external documents ids map... let mut new_external_documents_ids = self.index.external_documents_ids(self.wtxn)?; // ...and remove the to-delete external ids. new_external_documents_ids.delete_ids(external_ids_to_delete)?; // We write the new external ids into the main database. let new_external_documents_ids = new_external_documents_ids.into_static(); self.index.put_external_documents_ids(self.wtxn, &new_external_documents_ids)?; // Maybe we can improve the get performance of the words // if we sort the words first, keeping the LMDB pages in cache. words.sort_unstable(); // We iterate over the words and delete the documents ids // from the word docids database. for (word, must_remove) in &mut words { // We create an iterator to be able to get the content and delete the word docids. // It's faster to acquire a cursor to get and delete or put, as we avoid traversing // the LMDB B-Tree two times but only once. let mut iter = word_docids.prefix_iter_mut(self.wtxn, &word)?; if let Some((key, mut docids)) = iter.next().transpose()? { if key == word.as_ref() { let previous_len = docids.len(); docids -= &self.documents_ids; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; *must_remove = true; } else if docids.len() != previous_len { let key = key.to_owned(); // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&key, &docids)? }; } } } } // We construct an FST set that contains the words to delete from the words FST. let words_to_delete = words.iter().filter_map( |(word, must_remove)| { if *must_remove { Some(word.as_ref()) } else { None } }, ); let words_to_delete = fst::Set::from_iter(words_to_delete)?; let new_words_fst = { // We retrieve the current words FST from the database. let words_fst = self.index.words_fst(self.wtxn)?; let difference = words_fst.op().add(&words_to_delete).difference(); // We stream the new external ids that does no more contains the to-delete external ids. let mut new_words_fst_builder = fst::SetBuilder::memory(); new_words_fst_builder.extend_stream(difference.into_stream())?; // We create an words FST set from the above builder. new_words_fst_builder.into_set() }; // We write the new words FST into the main database. self.index.put_words_fst(self.wtxn, &new_words_fst)?; // We iterate over the word prefix docids database and remove the deleted documents ids // from every docids lists. We register the empty prefixes in an fst Set for futur deletion. let mut prefixes_to_delete = fst::SetBuilder::memory(); let mut iter = word_prefix_docids.iter_mut(self.wtxn)?; while let Some(result) = iter.next() { let (prefix, mut docids) = result?; let prefix = prefix.to_owned(); let previous_len = docids.len(); docids -= &self.documents_ids; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; prefixes_to_delete.insert(prefix)?; } else if docids.len() != previous_len { // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&prefix, &docids)? }; } } drop(iter); // We compute the new prefix FST and write it only if there is a change. let prefixes_to_delete = prefixes_to_delete.into_set(); if !prefixes_to_delete.is_empty() { let new_words_prefixes_fst = { // We retrieve the current words prefixes FST from the database. let words_prefixes_fst = self.index.words_prefixes_fst(self.wtxn)?; let difference = words_prefixes_fst.op().add(&prefixes_to_delete).difference(); // We stream the new external ids that does no more contains the to-delete external ids. let mut new_words_prefixes_fst_builder = fst::SetBuilder::memory(); new_words_prefixes_fst_builder.extend_stream(difference.into_stream())?; // We create an words FST set from the above builder. new_words_prefixes_fst_builder.into_set() }; // We write the new words prefixes FST into the main database. self.index.put_words_prefixes_fst(self.wtxn, &new_words_prefixes_fst)?; } // We delete the documents ids from the word prefix pair proximity database docids // and remove the empty pairs too. let db = word_prefix_pair_proximity_docids.remap_key_type::(); let mut iter = db.iter_mut(self.wtxn)?; while let Some(result) = iter.next() { let (key, mut docids) = result?; let previous_len = docids.len(); docids -= &self.documents_ids; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } else if docids.len() != previous_len { let key = key.to_owned(); // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&key, &docids)? }; } } drop(iter); // We delete the documents ids that are under the pairs of words, // it is faster and use no memory to iterate over all the words pairs than // to compute the cartesian product of every words of the deleted documents. let mut iter = word_pair_proximity_docids.remap_key_type::().iter_mut(self.wtxn)?; while let Some(result) = iter.next() { let (bytes, mut docids) = result?; let previous_len = docids.len(); docids -= &self.documents_ids; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } else if docids.len() != previous_len { let bytes = bytes.to_owned(); // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&bytes, &docids)? }; } } drop(iter); // We delete the documents ids that are under the word level position docids. let mut iter = word_position_docids.iter_mut(self.wtxn)?.remap_key_type::(); while let Some(result) = iter.next() { let (bytes, mut docids) = result?; let previous_len = docids.len(); docids -= &self.documents_ids; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } else if docids.len() != previous_len { let bytes = bytes.to_owned(); // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&bytes, &docids)? }; } } drop(iter); // We delete the documents ids that are under the word prefix level position docids. let mut iter = word_prefix_position_docids.iter_mut(self.wtxn)?.remap_key_type::(); while let Some(result) = iter.next() { let (bytes, mut docids) = result?; let previous_len = docids.len(); docids -= &self.documents_ids; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } else if docids.len() != previous_len { let bytes = bytes.to_owned(); // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&bytes, &docids)? }; } } drop(iter); // Remove the documents ids from the field id word count database. let mut iter = field_id_word_count_docids.iter_mut(self.wtxn)?; while let Some((key, mut docids)) = iter.next().transpose()? { let previous_len = docids.len(); docids -= &self.documents_ids; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } else if docids.len() != previous_len { let key = key.to_owned(); // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&key, &docids)? }; } } drop(iter); if let Some(mut rtree) = self.index.geo_rtree(self.wtxn)? { let mut geo_faceted_doc_ids = self.index.geo_faceted_documents_ids(self.wtxn)?; let (points_to_remove, docids_to_remove): (Vec<_>, RoaringBitmap) = rtree .iter() .filter(|&point| self.documents_ids.contains(point.data.0)) .cloned() .map(|point| (point, point.data.0)) .unzip(); points_to_remove.iter().for_each(|point| { rtree.remove(&point); }); geo_faceted_doc_ids -= docids_to_remove; self.index.put_geo_rtree(self.wtxn, &rtree)?; self.index.put_geo_faceted_documents_ids(self.wtxn, &geo_faceted_doc_ids)?; } // We delete the documents ids that are under the facet field id values. remove_docids_from_facet_field_id_number_docids( self.wtxn, facet_id_f64_docids, &self.documents_ids, )?; remove_docids_from_facet_field_id_string_docids( self.wtxn, facet_id_string_docids, &self.documents_ids, )?; // Remove the documents ids from the faceted documents ids. for field_id in self.index.faceted_fields_ids(self.wtxn)? { // Remove docids from the number faceted documents ids let mut docids = self.index.number_faceted_documents_ids(self.wtxn, field_id)?; docids -= &self.documents_ids; self.index.put_number_faceted_documents_ids(self.wtxn, field_id, &docids)?; remove_docids_from_field_id_docid_facet_value( self.wtxn, field_id_docid_facet_f64s, field_id, &self.documents_ids, |(_fid, docid, _value)| docid, )?; // Remove docids from the string faceted documents ids let mut docids = self.index.string_faceted_documents_ids(self.wtxn, field_id)?; docids -= &self.documents_ids; self.index.put_string_faceted_documents_ids(self.wtxn, field_id, &docids)?; remove_docids_from_field_id_docid_facet_value( self.wtxn, field_id_docid_facet_strings, field_id, &self.documents_ids, |(_fid, docid, _value)| docid, )?; } Ok(DocumentDeletionResult { deleted_documents: self.documents_ids.len(), remaining_documents: documents_ids.len(), }) } } fn remove_docids_from_field_id_docid_facet_value<'a, C, K, F, DC, V>( wtxn: &'a mut heed::RwTxn, db: &heed::Database, field_id: FieldId, to_remove: &RoaringBitmap, convert: F, ) -> heed::Result<()> where C: heed::BytesDecode<'a, DItem = K>, DC: heed::BytesDecode<'a, DItem = V>, F: Fn(K) -> DocumentId, { let mut iter = db .remap_key_type::() .prefix_iter_mut(wtxn, &field_id.to_be_bytes())? .remap_key_type::(); while let Some(result) = iter.next() { let (key, _) = result?; if to_remove.contains(convert(key)) { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } } Ok(()) } fn remove_docids_from_facet_field_id_string_docids<'a, C, D>( wtxn: &'a mut heed::RwTxn, db: &heed::Database, to_remove: &RoaringBitmap, ) -> crate::Result<()> { let db_name = Some(crate::index::db_name::FACET_ID_STRING_DOCIDS); let mut iter = db.remap_types::().iter_mut(wtxn)?; while let Some(result) = iter.next() { let (key, val) = result?; match FacetLevelValueU32Codec::bytes_decode(key) { Some(_) => { // If we are able to parse this key it means it is a facet string group // level key. We must then parse the value using the appropriate codec. let (group, mut docids) = FacetStringZeroBoundsValueCodec::::bytes_decode(val) .ok_or_else(|| SerializationError::Decoding { db_name })?; let previous_len = docids.len(); docids -= to_remove; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } else if docids.len() != previous_len { let key = key.to_owned(); let val = &(group, docids); let value_bytes = FacetStringZeroBoundsValueCodec::::bytes_encode(val) .ok_or_else(|| SerializationError::Encoding { db_name })?; // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&key, &value_bytes)? }; } } None => { // The key corresponds to a level zero facet string. let (original_value, mut docids) = FacetStringLevelZeroValueCodec::bytes_decode(val) .ok_or_else(|| SerializationError::Decoding { db_name })?; let previous_len = docids.len(); docids -= to_remove; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } else if docids.len() != previous_len { let key = key.to_owned(); let val = &(original_value, docids); let value_bytes = FacetStringLevelZeroValueCodec::bytes_encode(val) .ok_or_else(|| SerializationError::Encoding { db_name })?; // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&key, &value_bytes)? }; } } } } Ok(()) } fn remove_docids_from_facet_field_id_number_docids<'a, C>( wtxn: &'a mut heed::RwTxn, db: &heed::Database, to_remove: &RoaringBitmap, ) -> heed::Result<()> where C: heed::BytesDecode<'a> + heed::BytesEncode<'a>, { let mut iter = db.remap_key_type::().iter_mut(wtxn)?; while let Some(result) = iter.next() { let (bytes, mut docids) = result?; let previous_len = docids.len(); docids -= to_remove; if docids.is_empty() { // safety: we don't keep references from inside the LMDB database. unsafe { iter.del_current()? }; } else if docids.len() != previous_len { let bytes = bytes.to_owned(); // safety: we don't keep references from inside the LMDB database. unsafe { iter.put_current(&bytes, &docids)? }; } } Ok(()) } #[cfg(test)] mod tests { use std::collections::HashSet; use big_s::S; use heed::EnvOpenOptions; use maplit::hashset; use super::*; use crate::update::{IndexDocuments, IndexDocumentsConfig, IndexerConfig, Settings}; use crate::Filter; #[test] fn delete_documents_with_numbers_as_primary_key() { let path = tempfile::tempdir().unwrap(); let mut options = EnvOpenOptions::new(); options.map_size(10 * 1024 * 1024); // 10 MB let index = Index::new(options, &path).unwrap(); let mut wtxn = index.write_txn().unwrap(); let content = documents!([ { "id": 0, "name": "kevin", "object": { "key1": "value1", "key2": "value2" } }, { "id": 1, "name": "kevina", "array": ["I", "am", "fine"] }, { "id": 2, "name": "benoit", "array_of_object": [{ "wow": "amazing" }] } ]); let config = IndexerConfig::default(); let indexing_config = IndexDocumentsConfig::default(); let mut builder = IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()); builder.add_documents(content).unwrap(); builder.execute().unwrap(); // delete those documents, ids are synchronous therefore 0, 1, and 2. let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap(); builder.delete_document(0); builder.delete_document(1); builder.delete_document(2); builder.execute().unwrap(); wtxn.commit().unwrap(); let rtxn = index.read_txn().unwrap(); assert!(index.field_distribution(&rtxn).unwrap().is_empty()); } #[test] fn delete_documents_with_strange_primary_key() { let path = tempfile::tempdir().unwrap(); let mut options = EnvOpenOptions::new(); options.map_size(10 * 1024 * 1024); // 10 MB let index = Index::new(options, &path).unwrap(); let mut wtxn = index.write_txn().unwrap(); let content = documents!([ { "mysuperid": 0, "name": "kevin" }, { "mysuperid": 1, "name": "kevina" }, { "mysuperid": 2, "name": "benoit" } ]); let config = IndexerConfig::default(); let indexing_config = IndexDocumentsConfig::default(); let mut builder = IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()); builder.add_documents(content).unwrap(); builder.execute().unwrap(); // Delete not all of the documents but some of them. let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap(); builder.delete_external_id("0"); builder.delete_external_id("1"); builder.execute().unwrap(); wtxn.commit().unwrap(); } #[test] fn delete_documents_with_filterable_attributes() { let path = tempfile::tempdir().unwrap(); let mut options = EnvOpenOptions::new(); options.map_size(10 * 1024 * 1024); // 10 MB let index = Index::new(options, &path).unwrap(); let mut wtxn = index.write_txn().unwrap(); let config = IndexerConfig::default(); let mut builder = Settings::new(&mut wtxn, &index, &config); builder.set_primary_key(S("docid")); builder.set_filterable_fields(hashset! { S("label") }); builder.execute(|_| ()).unwrap(); let content = documents!([ {"docid":"1_4","label":"sign"}, {"docid":"1_5","label":"letter"}, {"docid":"1_7","label":"abstract,cartoon,design,pattern"}, {"docid":"1_36","label":"drawing,painting,pattern"}, {"docid":"1_37","label":"art,drawing,outdoor"}, {"docid":"1_38","label":"aquarium,art,drawing"}, {"docid":"1_39","label":"abstract"}, {"docid":"1_40","label":"cartoon"}, {"docid":"1_41","label":"art,drawing"}, {"docid":"1_42","label":"art,pattern"}, {"docid":"1_43","label":"abstract,art,drawing,pattern"}, {"docid":"1_44","label":"drawing"}, {"docid":"1_45","label":"art"}, {"docid":"1_46","label":"abstract,colorfulness,pattern"}, {"docid":"1_47","label":"abstract,pattern"}, {"docid":"1_52","label":"abstract,cartoon"}, {"docid":"1_57","label":"abstract,drawing,pattern"}, {"docid":"1_58","label":"abstract,art,cartoon"}, {"docid":"1_68","label":"design"}, {"docid":"1_69","label":"geometry"} ]); let config = IndexerConfig::default(); let indexing_config = IndexDocumentsConfig::default(); let mut builder = IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()); builder.add_documents(content).unwrap(); builder.execute().unwrap(); // Delete not all of the documents but some of them. let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap(); builder.delete_external_id("1_4"); builder.execute().unwrap(); let filter = Filter::from_str("label = sign").unwrap().unwrap(); let results = index.search(&wtxn).filter(filter).execute().unwrap(); assert!(results.documents_ids.is_empty()); wtxn.commit().unwrap(); } #[test] fn delete_documents_with_geo_points() { let path = tempfile::tempdir().unwrap(); let mut options = EnvOpenOptions::new(); options.map_size(10 * 1024 * 1024); // 10 MB let index = Index::new(options, &path).unwrap(); let mut wtxn = index.write_txn().unwrap(); let config = IndexerConfig::default(); let mut builder = Settings::new(&mut wtxn, &index, &config); builder.set_primary_key(S("id")); builder.set_filterable_fields(hashset!(S("_geo"))); builder.set_sortable_fields(hashset!(S("_geo"))); builder.execute(|_| ()).unwrap(); let content = documents!([ {"id":"1","city":"Lille", "_geo": { "lat": 50.629973371633746, "lng": 3.0569447399419570 } }, {"id":"2","city":"Mons-en-Barœul", "_geo": { "lat": 50.641586120121050, "lng": 3.1106593480348670 } }, {"id":"3","city":"Hellemmes", "_geo": { "lat": 50.631220965518080, "lng": 3.1106399673339933 } }, {"id":"4","city":"Villeneuve-d'Ascq", "_geo": { "lat": 50.622468098014565, "lng": 3.1476425513437140 } }, {"id":"5","city":"Hem", "_geo": { "lat": 50.655250871381355, "lng": 3.1897297266244130 } }, {"id":"6","city":"Roubaix", "_geo": { "lat": 50.692473451896710, "lng": 3.1763326737747650 } }, {"id":"7","city":"Tourcoing", "_geo": { "lat": 50.726397466736480, "lng": 3.1541653659578670 } }, {"id":"8","city":"Mouscron", "_geo": { "lat": 50.745325554908610, "lng": 3.2206407854429853 } }, {"id":"9","city":"Tournai", "_geo": { "lat": 50.605342528602630, "lng": 3.3758586941351414 } }, {"id":"10","city":"Ghent", "_geo": { "lat": 51.053777403679035, "lng": 3.6957733119926930 } }, {"id":"11","city":"Brussels", "_geo": { "lat": 50.846640974544690, "lng": 4.3370663564281840 } }, {"id":"12","city":"Charleroi", "_geo": { "lat": 50.409570138889480, "lng": 4.4347354315085520 } }, {"id":"13","city":"Mons", "_geo": { "lat": 50.450294178855420, "lng": 3.9623722870904690 } }, {"id":"14","city":"Valenciennes", "_geo": { "lat": 50.351817774473545, "lng": 3.5326283646928800 } }, {"id":"15","city":"Arras", "_geo": { "lat": 50.284487528579950, "lng": 2.7637515844478160 } }, {"id":"16","city":"Cambrai", "_geo": { "lat": 50.179340577906700, "lng": 3.2189409952502930 } }, {"id":"17","city":"Bapaume", "_geo": { "lat": 50.111276127236400, "lng": 2.8547894666083120 } }, {"id":"18","city":"Amiens", "_geo": { "lat": 49.931472529669996, "lng": 2.2710499758317080 } }, {"id":"19","city":"Compiègne", "_geo": { "lat": 49.444980887725656, "lng": 2.7913841281529015 } }, {"id":"20","city":"Paris", "_geo": { "lat": 48.902100060895480, "lng": 2.3708400867406930 } } ]); let external_ids_to_delete = ["5", "6", "7", "12", "17", "19"]; let indexing_config = IndexDocumentsConfig::default(); let mut builder = IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()); builder.add_documents(content).unwrap(); builder.execute().unwrap(); let external_document_ids = index.external_documents_ids(&wtxn).unwrap(); let ids_to_delete: Vec = external_ids_to_delete .iter() .map(|id| external_document_ids.get(id.as_bytes()).unwrap()) .collect(); // Delete some documents. let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap(); external_ids_to_delete.iter().for_each(|id| drop(builder.delete_external_id(id))); builder.execute().unwrap(); wtxn.commit().unwrap(); let rtxn = index.read_txn().unwrap(); let rtree = index.geo_rtree(&rtxn).unwrap().unwrap(); let geo_faceted_doc_ids = index.geo_faceted_documents_ids(&rtxn).unwrap(); let all_geo_ids = rtree.iter().map(|point| point.data).collect::>(); let all_geo_documents = index .documents(&rtxn, all_geo_ids.iter().map(|(id, _)| id).copied()) .unwrap() .iter() .map(|(id, _)| *id) .collect::>(); let all_geo_faceted_ids = geo_faceted_doc_ids.iter().collect::>(); let all_geo_faceted_documents = index .documents(&rtxn, all_geo_faceted_ids.iter().copied()) .unwrap() .iter() .map(|(id, _)| *id) .collect::>(); assert_eq!( all_geo_documents, all_geo_faceted_documents, "There is an inconsistency between the geo_faceted database and the rtree" ); for id in all_geo_documents.iter() { assert!(!ids_to_delete.contains(&id), "The document {} was supposed to be deleted", id); } assert_eq!( all_geo_ids.len(), all_geo_documents.len(), "We deleted documents that were not supposed to be deleted" ); } }