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Introduce the word prefix pair proximity docids database
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@ -18,6 +18,7 @@ const MAIN_DB_NAME: &str = "main";
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const WORD_DOCIDS_DB_NAME: &str = "word-docids";
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const DOCID_WORD_POSITIONS_DB_NAME: &str = "docid-word-positions";
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const WORD_PAIR_PROXIMITY_DOCIDS_DB_NAME: &str = "word-pair-proximity-docids";
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const WORD_PREFIX_PAIR_PROXIMITY_DOCIDS_DB_NAME: &str = "word-prefix-pair-proximity-docids";
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const DOCUMENTS_DB_NAME: &str = "documents";
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const USERS_IDS_DOCUMENTS_IDS: &[u8] = b"users-ids-documents-ids";
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@ -314,6 +315,7 @@ fn biggest_value_sizes(index: &Index, rtxn: &heed::RoTxn, limit: usize) -> anyho
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word_prefix_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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word_prefix_pair_proximity_docids,
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facet_field_id_value_docids,
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field_id_docid_facet_values: _,
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documents,
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@ -323,6 +325,7 @@ fn biggest_value_sizes(index: &Index, rtxn: &heed::RoTxn, limit: usize) -> anyho
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let word_docids_name = "word_docids";
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let word_prefix_docids_name = "word_prefix_docids";
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let docid_word_positions_name = "docid_word_positions";
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let word_prefix_pair_proximity_docids_name = "word_prefix_pair_proximity_docids";
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let word_pair_proximity_docids_name = "word_pair_proximity_docids";
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let facet_field_id_value_docids_name = "facet_field_id_value_docids";
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let documents_name = "documents";
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@ -373,6 +376,13 @@ fn biggest_value_sizes(index: &Index, rtxn: &heed::RoTxn, limit: usize) -> anyho
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if heap.len() > limit { heap.pop(); }
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}
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for result in word_prefix_pair_proximity_docids.remap_data_type::<ByteSlice>().iter(rtxn)? {
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let ((word, prefix, prox), value) = result?;
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let key = format!("{} {} {}", word, prefix, prox);
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heap.push(Reverse((value.len(), key, word_prefix_pair_proximity_docids_name)));
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if heap.len() > limit { heap.pop(); }
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}
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let faceted_fields = index.faceted_fields_ids(rtxn)?;
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let fields_ids_map = index.fields_ids_map(rtxn)?;
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for (field_id, field_type) in faceted_fields {
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@ -43,6 +43,8 @@ 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 proximity between a pair of word and prefix with all the docids where this relation appears.
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pub word_prefix_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, the facet field id and the globally ordered value.
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@ -53,7 +55,7 @@ pub struct Index {
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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(8);
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options.max_dbs(9);
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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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@ -61,6 +63,7 @@ impl Index {
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let word_prefix_docids = env.create_database(Some("word-prefix-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 word_prefix_pair_proximity_docids = env.create_database(Some("word-prefix-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 field_id_docid_facet_values = env.create_database(Some("field-id-docid-facet-values"))?;
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let documents = env.create_database(Some("documents"))?;
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@ -72,6 +75,7 @@ impl Index {
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word_prefix_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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word_prefix_pair_proximity_docids,
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facet_field_id_value_docids,
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field_id_docid_facet_values,
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documents,
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@ -25,6 +25,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
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word_prefix_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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word_prefix_pair_proximity_docids,
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facet_field_id_value_docids,
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field_id_docid_facet_values,
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documents,
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@ -50,6 +51,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
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word_prefix_docids.clear(self.wtxn)?;
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docid_word_positions.clear(self.wtxn)?;
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word_pair_proximity_docids.clear(self.wtxn)?;
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word_prefix_pair_proximity_docids.clear(self.wtxn)?;
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facet_field_id_value_docids.clear(self.wtxn)?;
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field_id_docid_facet_values.clear(self.wtxn)?;
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documents.clear(self.wtxn)?;
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@ -82,6 +82,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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word_prefix_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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word_prefix_pair_proximity_docids,
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facet_field_id_value_docids,
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field_id_docid_facet_values,
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documents,
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@ -160,6 +161,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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// FIXME we must recompute the words prefixes docids.
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todo!("recompute words prefixes docids");
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todo!("recompute words prefixes pairs proximity docids");
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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(|(word, must_remove)| {
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