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https://github.com/meilisearch/MeiliSearch
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Introduce the facet field id values engine database
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parent
e0058c1125
commit
92ec908303
15
src/index.rs
15
src/index.rs
@ -34,22 +34,33 @@ pub struct Index {
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pub docid_word_positions: Database<BEU32StrCodec, BoRoaringBitmapCodec>,
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/// Maps the proximity between a pair of words with all the docids where this relation appears.
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pub word_pair_proximity_docids: Database<StrStrU8Codec, CboRoaringBitmapCodec>,
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/// Maps the facet field id and the globally ordered value with the docids that corresponds to it.
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pub facet_field_id_value_docids: Database<ByteSlice, CboRoaringBitmapCodec>,
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/// Maps the document id to the document as an obkv store.
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pub documents: Database<OwnedType<BEU32>, ObkvCodec>,
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}
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impl Index {
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pub fn new<P: AsRef<Path>>(mut options: heed::EnvOpenOptions, path: P) -> anyhow::Result<Index> {
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options.max_dbs(5);
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options.max_dbs(6);
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let env = options.open(path)?;
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let main = env.create_poly_database(Some("main"))?;
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let word_docids = env.create_database(Some("word-docids"))?;
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let docid_word_positions = env.create_database(Some("docid-word-positions"))?;
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let word_pair_proximity_docids = env.create_database(Some("word-pair-proximity-docids"))?;
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let facet_field_id_value_docids = env.create_database(Some("facet-field-id-value-docids"))?;
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let documents = env.create_database(Some("documents"))?;
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Ok(Index { env, main, word_docids, docid_word_positions, word_pair_proximity_docids, documents })
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Ok(Index {
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env,
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main,
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word_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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facet_field_id_value_docids,
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documents,
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})
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}
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/// Create a write transaction to be able to write into the index.
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@ -18,33 +18,25 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
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word_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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facet_field_id_value_docids,
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documents,
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} = self.index;
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// We clear the word fst.
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// We retrieve the number of documents ids that we are deleting.
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let number_of_documents = self.index.number_of_documents(self.wtxn)?;
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// We clean some of the main engine datastructures.
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self.index.put_words_fst(self.wtxn, &fst::Set::default())?;
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// We clear the users ids documents ids.
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self.index.put_users_ids_documents_ids(self.wtxn, &fst::Map::default())?;
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// We retrieve the documents ids.
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let documents_ids = self.index.documents_ids(self.wtxn)?;
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// We clear the internal documents ids.
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self.index.put_documents_ids(self.wtxn, &RoaringBitmap::default())?;
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// We clear the word docids.
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// Clear the other databases.
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word_docids.clear(self.wtxn)?;
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// We clear the docid word positions.
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docid_word_positions.clear(self.wtxn)?;
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// We clear the word pair proximity docids.
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word_pair_proximity_docids.clear(self.wtxn)?;
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// We clear the documents themselves.
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facet_field_id_value_docids.clear(self.wtxn)?;
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documents.clear(self.wtxn)?;
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Ok(documents_ids.len() as usize)
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Ok(number_of_documents)
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}
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}
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@ -76,6 +76,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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word_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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facet_field_id_value_docids,
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documents,
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} = self.index;
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@ -158,7 +159,9 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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}
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// We construct an FST set that contains the words to delete from the words FST.
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let words_to_delete = words.iter().filter_map(|(w, d)| if *d { Some(w.as_ref()) } else { None });
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let words_to_delete = words.iter().filter_map(|(word, must_remove)| {
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if *must_remove { Some(word.as_ref()) } else { None }
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});
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let words_to_delete = fst::Set::from_iter(words_to_delete)?;
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let new_words_fst = {
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@ -191,6 +194,20 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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}
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}
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drop(iter);
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// We delete the documents ids that are under the facet field id values.
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let mut iter = facet_field_id_value_docids.iter_mut(self.wtxn)?;
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while let Some(result) = iter.next() {
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let (bytes, mut docids) = result?;
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docids.difference_with(&self.documents_ids);
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if docids.is_empty() {
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iter.del_current()?;
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} else {
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iter.put_current(bytes, &docids)?;
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}
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}
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Ok(self.documents_ids.len() as usize)
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}
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}
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