use roaring::RoaringBitmap; use time::OffsetDateTime; use crate::{FieldDistribution, Index, Result}; pub struct ClearDocuments<'t, 'u, 'i> { wtxn: &'t mut heed::RwTxn<'i, 'u>, index: &'i Index, } impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> { pub fn new(wtxn: &'t mut heed::RwTxn<'i, 'u>, index: &'i Index) -> ClearDocuments<'t, 'u, 'i> { ClearDocuments { wtxn, index } } pub fn execute(self) -> Result { puffin::profile_function!(); self.index.set_updated_at(self.wtxn, &OffsetDateTime::now_utc())?; let Index { env: _env, main: _main, external_documents_ids, word_docids, exact_word_docids, word_prefix_docids, exact_word_prefix_docids, word_pair_proximity_docids, word_prefix_pair_proximity_docids, prefix_word_pair_proximity_docids, word_position_docids, word_fid_docids, field_id_word_count_docids, word_prefix_position_docids, word_prefix_fid_docids, script_language_docids, facet_id_f64_docids, facet_id_string_docids, facet_id_normalized_string_strings, facet_id_string_fst, facet_id_exists_docids, facet_id_is_null_docids, facet_id_is_empty_docids, field_id_docid_facet_f64s, field_id_docid_facet_strings, vector_id_docid, documents, } = self.index; let empty_roaring = RoaringBitmap::default(); // We retrieve the number of documents ids that we are deleting. let number_of_documents = self.index.number_of_documents(self.wtxn)?; // We clean some of the main engine datastructures. self.index.put_words_fst(self.wtxn, &fst::Set::default())?; self.index.put_words_prefixes_fst(self.wtxn, &fst::Set::default())?; self.index.put_documents_ids(self.wtxn, &empty_roaring)?; self.index.put_field_distribution(self.wtxn, &FieldDistribution::default())?; self.index.delete_geo_rtree(self.wtxn)?; self.index.delete_geo_faceted_documents_ids(self.wtxn)?; self.index.delete_vector_hnsw(self.wtxn)?; // Clear the other databases. external_documents_ids.clear(self.wtxn)?; word_docids.clear(self.wtxn)?; exact_word_docids.clear(self.wtxn)?; word_prefix_docids.clear(self.wtxn)?; exact_word_prefix_docids.clear(self.wtxn)?; word_pair_proximity_docids.clear(self.wtxn)?; word_prefix_pair_proximity_docids.clear(self.wtxn)?; prefix_word_pair_proximity_docids.clear(self.wtxn)?; word_position_docids.clear(self.wtxn)?; word_fid_docids.clear(self.wtxn)?; field_id_word_count_docids.clear(self.wtxn)?; word_prefix_position_docids.clear(self.wtxn)?; word_prefix_fid_docids.clear(self.wtxn)?; script_language_docids.clear(self.wtxn)?; facet_id_f64_docids.clear(self.wtxn)?; facet_id_normalized_string_strings.clear(self.wtxn)?; facet_id_string_fst.clear(self.wtxn)?; facet_id_exists_docids.clear(self.wtxn)?; facet_id_is_null_docids.clear(self.wtxn)?; facet_id_is_empty_docids.clear(self.wtxn)?; facet_id_string_docids.clear(self.wtxn)?; field_id_docid_facet_f64s.clear(self.wtxn)?; field_id_docid_facet_strings.clear(self.wtxn)?; vector_id_docid.clear(self.wtxn)?; documents.clear(self.wtxn)?; Ok(number_of_documents) } } #[cfg(test)] mod tests { use super::*; use crate::index::tests::TempIndex; #[test] fn clear_documents() { let index = TempIndex::new(); let mut wtxn = index.write_txn().unwrap(); index .add_documents_using_wtxn(&mut wtxn, documents!([ { "id": 0, "name": "kevin", "age": 20 }, { "id": 1, "name": "kevina" }, { "id": 2, "name": "benoit", "country": "France", "_geo": { "lng": 42, "lat": 35 } } ])) .unwrap(); // Clear all documents from the database. let builder = ClearDocuments::new(&mut wtxn, &index); assert_eq!(builder.execute().unwrap(), 3); wtxn.commit().unwrap(); let rtxn = index.read_txn().unwrap(); // the value is 7 because there is `[id, name, age, country, _geo, _geo.lng, _geo.lat]` assert_eq!(index.fields_ids_map(&rtxn).unwrap().len(), 7); assert!(index.words_fst(&rtxn).unwrap().is_empty()); assert!(index.words_prefixes_fst(&rtxn).unwrap().is_empty()); assert!(index.external_documents_ids(&rtxn).unwrap().is_empty()); assert!(index.documents_ids(&rtxn).unwrap().is_empty()); assert!(index.field_distribution(&rtxn).unwrap().is_empty()); assert!(index.geo_rtree(&rtxn).unwrap().is_none()); assert!(index.geo_faceted_documents_ids(&rtxn).unwrap().is_empty()); assert!(index.word_docids.is_empty(&rtxn).unwrap()); assert!(index.word_prefix_docids.is_empty(&rtxn).unwrap()); assert!(index.word_pair_proximity_docids.is_empty(&rtxn).unwrap()); assert!(index.field_id_word_count_docids.is_empty(&rtxn).unwrap()); assert!(index.word_prefix_pair_proximity_docids.is_empty(&rtxn).unwrap()); assert!(index.facet_id_f64_docids.is_empty(&rtxn).unwrap()); assert!(index.facet_id_string_docids.is_empty(&rtxn).unwrap()); assert!(index.field_id_docid_facet_f64s.is_empty(&rtxn).unwrap()); assert!(index.field_id_docid_facet_strings.is_empty(&rtxn).unwrap()); assert!(index.documents.is_empty(&rtxn).unwrap()); } }