mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-23 13:10:06 +01:00
Fixes for clippy bringing us down to 18 remaining issues.
This brings us a step closer to enforcing clippy on each build.
This commit is contained in:
parent
004c09a8e2
commit
6b2fe94192
@ -70,7 +70,7 @@ impl FromStr for Member {
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type Err = AscDescError;
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fn from_str(text: &str) -> Result<Member, Self::Err> {
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match text.strip_prefix("_geoPoint(").and_then(|text| text.strip_suffix(")")) {
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match text.strip_prefix("_geoPoint(").and_then(|text| text.strip_suffix(')')) {
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Some(point) => {
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let (lat, lng) = point
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.split_once(',')
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@ -60,7 +60,7 @@ impl<W: Write> DocumentsBatchBuilder<W> {
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/// Appends a new JSON object into the batch and updates the `DocumentsBatchIndex` accordingly.
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pub fn append_json_object(&mut self, object: &Object) -> io::Result<()> {
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// Make sure that we insert the fields ids in order as the obkv writer has this requirement.
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let mut fields_ids: Vec<_> = object.keys().map(|k| self.fields_index.insert(&k)).collect();
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let mut fields_ids: Vec<_> = object.keys().map(|k| self.fields_index.insert(k)).collect();
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fields_ids.sort_unstable();
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self.obkv_buffer.clear();
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@ -25,9 +25,9 @@ const DOCUMENTS_BATCH_INDEX_KEY: [u8; 8] = u64::MAX.to_be_bytes();
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pub fn obkv_to_object(obkv: &KvReader<FieldId>, index: &DocumentsBatchIndex) -> Result<Object> {
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obkv.iter()
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.map(|(field_id, value)| {
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let field_name = index.name(field_id).ok_or_else(|| {
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FieldIdMapMissingEntry::FieldId { field_id, process: "obkv_to_object" }
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})?;
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let field_name = index
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.name(field_id)
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.ok_or(FieldIdMapMissingEntry::FieldId { field_id, process: "obkv_to_object" })?;
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let value = serde_json::from_slice(value).map_err(InternalError::SerdeJson)?;
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Ok((field_name.to_string(), value))
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})
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@ -65,7 +65,7 @@ impl FieldsIdsMap {
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}
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/// Iterate over the ids in the order of the ids.
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pub fn ids<'a>(&'a self) -> impl Iterator<Item = FieldId> + 'a {
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pub fn ids(&'_ self) -> impl Iterator<Item = FieldId> + '_ {
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self.ids_names.keys().copied()
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}
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@ -34,7 +34,7 @@ where
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type EItem = (&'a str, C::EItem);
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fn bytes_encode((string, value): &'a Self::EItem) -> Option<Cow<[u8]>> {
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let value_bytes = C::bytes_encode(&value)?;
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let value_bytes = C::bytes_encode(value)?;
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let mut bytes = Vec::with_capacity(2 + string.len() + value_bytes.len());
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encode_prefix_string(string, &mut bytes).ok()?;
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@ -66,14 +66,14 @@ where
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bytes.extend_from_slice(left.as_bytes());
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bytes.extend_from_slice(right.as_bytes());
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let value_bytes = C::bytes_encode(&value)?;
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let value_bytes = C::bytes_encode(value)?;
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bytes.extend_from_slice(&value_bytes[..]);
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Some(Cow::Owned(bytes))
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}
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None => {
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bytes.push(0);
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let value_bytes = C::bytes_encode(&value)?;
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let value_bytes = C::bytes_encode(value)?;
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bytes.extend_from_slice(&value_bytes[..]);
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Some(Cow::Owned(bytes))
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}
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@ -320,7 +320,7 @@ impl Index {
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/// Writes the documents primary key, this is the field name that is used to store the id.
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pub(crate) fn put_primary_key(&self, wtxn: &mut RwTxn, primary_key: &str) -> heed::Result<()> {
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self.set_updated_at(wtxn, &OffsetDateTime::now_utc())?;
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self.main.put::<_, Str, Str>(wtxn, main_key::PRIMARY_KEY_KEY, &primary_key)
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self.main.put::<_, Str, Str>(wtxn, main_key::PRIMARY_KEY_KEY, primary_key)
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}
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/// Deletes the primary key of the documents, this can be done to reset indexes settings.
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@ -1013,7 +1013,7 @@ impl Index {
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let kv = self
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.documents
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.get(rtxn, &BEU32::new(id))?
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.ok_or_else(|| UserError::UnknownInternalDocumentId { document_id: id })?;
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.ok_or(UserError::UnknownInternalDocumentId { document_id: id })?;
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documents.push((id, kv));
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}
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@ -1072,7 +1072,7 @@ impl Index {
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wtxn: &mut RwTxn,
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time: &OffsetDateTime,
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) -> heed::Result<()> {
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self.main.put::<_, Str, SerdeJson<OffsetDateTime>>(wtxn, main_key::UPDATED_AT_KEY, &time)
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self.main.put::<_, Str, SerdeJson<OffsetDateTime>>(wtxn, main_key::UPDATED_AT_KEY, time)
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}
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pub fn authorize_typos(&self, txn: &RoTxn) -> heed::Result<bool> {
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@ -115,7 +115,7 @@ impl<'t> Criterion for AscDesc<'t> {
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let mut candidates = match (&self.query_tree, candidates) {
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(_, Some(candidates)) => candidates,
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(Some(qt), None) => {
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let context = CriteriaBuilder::new(&self.rtxn, &self.index)?;
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let context = CriteriaBuilder::new(self.rtxn, self.index)?;
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resolve_query_tree(&context, qt, params.wdcache)?
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}
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(None, None) => self.index.documents_ids(self.rtxn)?,
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@ -89,7 +89,7 @@ impl<'t> Criterion for Attribute<'t> {
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}
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}
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} else {
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let mut set_buckets = match self.set_buckets.as_mut() {
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let set_buckets = match self.set_buckets.as_mut() {
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Some(set_buckets) => set_buckets,
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None => {
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let new_buckets = initialize_set_buckets(
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@ -102,7 +102,7 @@ impl<'t> Criterion for Attribute<'t> {
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}
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};
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match set_compute_candidates(&mut set_buckets, &allowed_candidates)? {
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match set_compute_candidates(set_buckets, &allowed_candidates)? {
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Some((_score, candidates)) => candidates,
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None => {
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return Ok(Some(CriterionResult {
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@ -199,18 +199,18 @@ impl<'t> QueryPositionIterator<'t> {
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let iter = ctx.word_position_iterator(word, in_prefix_cache)?;
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inner.push(iter.peekable());
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} else {
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for (word, _) in word_derivations(&word, true, 0, ctx.words_fst(), wdcache)?
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for (word, _) in word_derivations(word, true, 0, ctx.words_fst(), wdcache)?
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{
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let iter = ctx.word_position_iterator(&word, in_prefix_cache)?;
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let iter = ctx.word_position_iterator(word, in_prefix_cache)?;
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inner.push(iter.peekable());
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}
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}
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}
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QueryKind::Tolerant { typo, word } => {
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for (word, _) in
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word_derivations(&word, query.prefix, *typo, ctx.words_fst(), wdcache)?
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word_derivations(word, query.prefix, *typo, ctx.words_fst(), wdcache)?
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{
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let iter = ctx.word_position_iterator(&word, in_prefix_cache)?;
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let iter = ctx.word_position_iterator(word, in_prefix_cache)?;
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inner.push(iter.peekable());
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}
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}
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@ -476,8 +476,7 @@ fn initialize_linear_buckets(
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} else {
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words_positions
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.get(word)
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.map(|positions| positions.iter().next())
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.flatten()
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.and_then(|positions| positions.iter().next())
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}
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}
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QueryKind::Tolerant { typo, word } => {
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@ -574,7 +573,7 @@ fn flatten_query_tree(query_tree: &Operation) -> FlattenedQueryTree {
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if ops.iter().all(|op| op.query().is_some()) {
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vec![vec![ops.iter().flat_map(|op| op.query()).cloned().collect()]]
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} else {
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ops.iter().map(recurse).flatten().collect()
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ops.iter().flat_map(recurse).collect()
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}
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}
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Phrase(words) => {
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@ -90,7 +90,7 @@ impl Criterion for Geo<'_> {
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let mut candidates = match (&query_tree, candidates) {
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(_, Some(candidates)) => candidates,
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(Some(qt), None) => {
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let context = CriteriaBuilder::new(&self.rtxn, &self.index)?;
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let context = CriteriaBuilder::new(self.rtxn, self.index)?;
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resolve_query_tree(&context, qt, params.wdcache)?
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}
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(None, None) => self.index.documents_ids(self.rtxn)?,
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@ -44,7 +44,7 @@ impl<D: Distinct> Criterion for Initial<'_, D> {
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let mut candidates = resolve_query_tree(
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self.ctx,
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answer.query_tree.as_ref().unwrap(),
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&mut params.wdcache,
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params.wdcache,
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)?;
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// Apply the filters on the documents retrieved with the query tree.
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@ -186,19 +186,19 @@ impl<'c> Context<'c> for CriteriaBuilder<'c> {
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}
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fn word_docids(&self, word: &str) -> heed::Result<Option<RoaringBitmap>> {
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self.index.word_docids.get(self.rtxn, &word)
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self.index.word_docids.get(self.rtxn, word)
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}
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fn exact_word_docids(&self, word: &str) -> heed::Result<Option<RoaringBitmap>> {
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self.index.exact_word_docids.get(self.rtxn, &word)
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self.index.exact_word_docids.get(self.rtxn, word)
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}
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fn word_prefix_docids(&self, word: &str) -> heed::Result<Option<RoaringBitmap>> {
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self.index.word_prefix_docids.get(self.rtxn, &word)
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self.index.word_prefix_docids.get(self.rtxn, word)
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}
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fn exact_word_prefix_docids(&self, word: &str) -> heed::Result<Option<RoaringBitmap>> {
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self.index.exact_word_prefix_docids.get(self.rtxn, &word)
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self.index.exact_word_prefix_docids.get(self.rtxn, word)
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}
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fn word_pair_proximity_docids(
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@ -321,7 +321,7 @@ impl<'t> CriteriaBuilder<'t> {
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exhaustive_number_hits,
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distinct,
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)) as Box<dyn Criterion>;
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for name in self.index.criteria(&self.rtxn)? {
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for name in self.index.criteria(self.rtxn)? {
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criterion = match name {
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Name::Words => Box::new(Words::new(self, criterion)),
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Name::Typo => Box::new(Typo::new(self, criterion)),
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@ -330,29 +330,23 @@ impl<'t> CriteriaBuilder<'t> {
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for asc_desc in sort_criteria {
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criterion = match asc_desc {
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AscDescName::Asc(Member::Field(field)) => Box::new(AscDesc::asc(
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&self.index,
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&self.rtxn,
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self.index,
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self.rtxn,
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criterion,
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field.to_string(),
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)?),
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AscDescName::Desc(Member::Field(field)) => Box::new(AscDesc::desc(
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&self.index,
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&self.rtxn,
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self.index,
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self.rtxn,
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criterion,
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field.to_string(),
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)?),
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AscDescName::Asc(Member::Geo(point)) => Box::new(Geo::asc(
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&self.index,
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&self.rtxn,
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criterion,
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point.clone(),
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)?),
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AscDescName::Desc(Member::Geo(point)) => Box::new(Geo::desc(
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&self.index,
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&self.rtxn,
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criterion,
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point.clone(),
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)?),
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AscDescName::Asc(Member::Geo(point)) => {
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Box::new(Geo::asc(self.index, self.rtxn, criterion, *point)?)
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}
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AscDescName::Desc(Member::Geo(point)) => {
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Box::new(Geo::desc(self.index, self.rtxn, criterion, *point)?)
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}
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};
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}
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criterion
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@ -363,10 +357,10 @@ impl<'t> CriteriaBuilder<'t> {
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Name::Attribute => Box::new(Attribute::new(self, criterion)),
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Name::Exactness => Box::new(Exactness::new(self, criterion, &primitive_query)?),
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Name::Asc(field) => {
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Box::new(AscDesc::asc(&self.index, &self.rtxn, criterion, field)?)
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Box::new(AscDesc::asc(self.index, self.rtxn, criterion, field)?)
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}
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Name::Desc(field) => {
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Box::new(AscDesc::desc(&self.index, &self.rtxn, criterion, field)?)
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Box::new(AscDesc::desc(self.index, self.rtxn, criterion, field)?)
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}
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};
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}
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@ -408,7 +402,7 @@ pub fn resolve_query_tree(
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}
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Ok(candidates)
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}
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Phrase(words) => resolve_phrase(ctx, &words),
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Phrase(words) => resolve_phrase(ctx, words),
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Or(_, ops) => {
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let mut candidates = RoaringBitmap::new();
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for op in ops {
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@ -457,7 +451,7 @@ pub fn resolve_phrase(ctx: &dyn Context, phrase: &[String]) -> Result<RoaringBit
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}
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// We sort the bitmaps so that we perform the small intersections first, which is faster.
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bitmaps.sort_unstable_by(|a, b| a.len().cmp(&b.len()));
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bitmaps.sort_unstable_by_key(|a| a.len());
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for bitmap in bitmaps {
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if first_iter {
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@ -500,40 +494,40 @@ fn query_docids(
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) -> Result<RoaringBitmap> {
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match &query.kind {
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QueryKind::Exact { word, original_typo } => {
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if query.prefix && ctx.in_prefix_cache(&word) {
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let mut docids = ctx.word_prefix_docids(&word)?.unwrap_or_default();
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if query.prefix && ctx.in_prefix_cache(word) {
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let mut docids = ctx.word_prefix_docids(word)?.unwrap_or_default();
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// only add the exact docids if the word hasn't been derived
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if *original_typo == 0 {
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docids |= ctx.exact_word_prefix_docids(&word)?.unwrap_or_default();
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docids |= ctx.exact_word_prefix_docids(word)?.unwrap_or_default();
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}
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Ok(docids)
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} else if query.prefix {
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let words = word_derivations(&word, true, 0, ctx.words_fst(), wdcache)?;
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let words = word_derivations(word, true, 0, ctx.words_fst(), wdcache)?;
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let mut docids = RoaringBitmap::new();
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for (word, _typo) in words {
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docids |= ctx.word_docids(&word)?.unwrap_or_default();
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docids |= ctx.word_docids(word)?.unwrap_or_default();
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// only add the exact docids if the word hasn't been derived
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if *original_typo == 0 {
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docids |= ctx.exact_word_docids(&word)?.unwrap_or_default();
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docids |= ctx.exact_word_docids(word)?.unwrap_or_default();
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}
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}
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Ok(docids)
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} else {
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let mut docids = ctx.word_docids(&word)?.unwrap_or_default();
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let mut docids = ctx.word_docids(word)?.unwrap_or_default();
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// only add the exact docids if the word hasn't been derived
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if *original_typo == 0 {
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docids |= ctx.exact_word_docids(&word)?.unwrap_or_default();
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docids |= ctx.exact_word_docids(word)?.unwrap_or_default();
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}
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Ok(docids)
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}
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}
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QueryKind::Tolerant { typo, word } => {
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let words = word_derivations(&word, query.prefix, *typo, ctx.words_fst(), wdcache)?;
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let words = word_derivations(word, query.prefix, *typo, ctx.words_fst(), wdcache)?;
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let mut docids = RoaringBitmap::new();
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for (word, typo) in words {
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let mut current_docids = ctx.word_docids(&word)?.unwrap_or_default();
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let mut current_docids = ctx.word_docids(word)?.unwrap_or_default();
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if *typo == 0 {
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current_docids |= ctx.exact_word_docids(&word)?.unwrap_or_default()
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current_docids |= ctx.exact_word_docids(word)?.unwrap_or_default()
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}
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docids |= current_docids;
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}
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@ -585,7 +579,7 @@ fn query_pair_proximity_docids(
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}
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(QueryKind::Tolerant { typo, word: left }, QueryKind::Exact { word: right, .. }) => {
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let l_words =
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word_derivations(&left, false, *typo, ctx.words_fst(), wdcache)?.to_owned();
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word_derivations(left, false, *typo, ctx.words_fst(), wdcache)?.to_owned();
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if prefix {
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let mut docids = RoaringBitmap::new();
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for (left, _) in l_words {
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@ -99,7 +99,7 @@ impl<'t> Criterion for Proximity<'t> {
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// use set theory based algorithm
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resolve_candidates(
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self.ctx,
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&query_tree,
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query_tree,
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self.proximity,
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&mut self.candidates_cache,
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params.wdcache,
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@ -194,7 +194,7 @@ fn resolve_candidates<'t>(
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.map(|w| Query { prefix: false, kind: QueryKind::exact(w.clone()) });
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match (most_left, most_right) {
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(Some(l), Some(r)) => vec![(l, r, resolve_phrase(ctx, &words)?)],
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(Some(l), Some(r)) => vec![(l, r, resolve_phrase(ctx, words)?)],
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_otherwise => Default::default(),
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}
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} else {
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@ -496,7 +496,7 @@ fn resolve_plane_sweep_candidates(
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match kind {
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QueryKind::Exact { word, .. } => {
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if *prefix {
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let iter = word_derivations(word, true, 0, &words_positions)
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let iter = word_derivations(word, true, 0, words_positions)
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.flat_map(|positions| positions.iter().map(|p| (p, 0, p)));
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result.extend(iter);
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} else if let Some(positions) = words_positions.get(word) {
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@ -504,7 +504,7 @@ fn resolve_plane_sweep_candidates(
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}
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}
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QueryKind::Tolerant { typo, word } => {
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let iter = word_derivations(word, *prefix, *typo, &words_positions)
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let iter = word_derivations(word, *prefix, *typo, words_positions)
|
||||
.flat_map(|positions| positions.iter().map(|p| (p, 0, p)));
|
||||
result.extend(iter);
|
||||
}
|
||||
|
@ -69,7 +69,7 @@ impl<'t> Criterion for Typo<'t> {
|
||||
let fst = self.ctx.words_fst();
|
||||
let new_query_tree = match self.typos {
|
||||
typos if typos < MAX_TYPOS_PER_WORD => alterate_query_tree(
|
||||
&fst,
|
||||
fst,
|
||||
query_tree.clone(),
|
||||
self.typos,
|
||||
params.wdcache,
|
||||
@ -78,7 +78,7 @@ impl<'t> Criterion for Typo<'t> {
|
||||
// When typos >= MAX_TYPOS_PER_WORD, no more alteration of the query tree is possible,
|
||||
// we keep the altered query tree
|
||||
*query_tree = alterate_query_tree(
|
||||
&fst,
|
||||
fst,
|
||||
query_tree.clone(),
|
||||
self.typos,
|
||||
params.wdcache,
|
||||
@ -199,7 +199,7 @@ fn alterate_query_tree(
|
||||
ops.iter_mut().try_for_each(|op| recurse(words_fst, op, number_typos, wdcache))
|
||||
}
|
||||
// Because Phrases don't allow typos, no alteration can be done.
|
||||
Phrase(_words) => return Ok(()),
|
||||
Phrase(_words) => Ok(()),
|
||||
Operation::Query(q) => {
|
||||
if let QueryKind::Tolerant { typo, word } = &q.kind {
|
||||
// if no typo is allowed we don't call word_derivations function,
|
||||
|
@ -53,10 +53,7 @@ impl<'t> Criterion for Words<'t> {
|
||||
None => None,
|
||||
};
|
||||
|
||||
let bucket_candidates = match self.bucket_candidates.as_mut() {
|
||||
Some(bucket_candidates) => Some(take(bucket_candidates)),
|
||||
None => None,
|
||||
};
|
||||
let bucket_candidates = self.bucket_candidates.as_mut().map(take);
|
||||
|
||||
return Ok(Some(CriterionResult {
|
||||
query_tree: Some(query_tree),
|
||||
|
@ -66,7 +66,7 @@ impl<'a> FacetDistribution<'a> {
|
||||
) -> heed::Result<()> {
|
||||
match facet_type {
|
||||
FacetType::Number => {
|
||||
let mut key_buffer: Vec<_> = field_id.to_be_bytes().iter().copied().collect();
|
||||
let mut key_buffer: Vec<_> = field_id.to_be_bytes().to_vec();
|
||||
|
||||
let distribution_prelength = distribution.len();
|
||||
let db = self.index.field_id_docid_facet_f64s;
|
||||
@ -91,7 +91,7 @@ impl<'a> FacetDistribution<'a> {
|
||||
}
|
||||
FacetType::String => {
|
||||
let mut normalized_distribution = BTreeMap::new();
|
||||
let mut key_buffer: Vec<_> = field_id.to_be_bytes().iter().copied().collect();
|
||||
let mut key_buffer: Vec<_> = field_id.to_be_bytes().to_vec();
|
||||
|
||||
let db = self.index.field_id_docid_facet_strings;
|
||||
for docid in candidates.into_iter() {
|
||||
|
@ -96,7 +96,7 @@ impl<'a> Filter<'a> {
|
||||
Either::Left(array) => {
|
||||
let mut ors = vec![];
|
||||
for rule in array {
|
||||
if let Some(filter) = Self::from_str(rule.as_ref())? {
|
||||
if let Some(filter) = Self::from_str(rule)? {
|
||||
ors.push(filter.condition);
|
||||
}
|
||||
}
|
||||
@ -108,7 +108,7 @@ impl<'a> Filter<'a> {
|
||||
}
|
||||
}
|
||||
Either::Right(rule) => {
|
||||
if let Some(filter) = Self::from_str(rule.as_ref())? {
|
||||
if let Some(filter) = Self::from_str(rule)? {
|
||||
ands.push(filter.condition);
|
||||
}
|
||||
}
|
||||
@ -358,7 +358,7 @@ impl<'a> Filter<'a> {
|
||||
index,
|
||||
filterable_fields,
|
||||
)?;
|
||||
return Ok(all_ids - selected);
|
||||
Ok(all_ids - selected)
|
||||
}
|
||||
FilterCondition::In { fid, els } => {
|
||||
if crate::is_faceted(fid.value(), filterable_fields) {
|
||||
@ -377,38 +377,36 @@ impl<'a> Filter<'a> {
|
||||
Ok(RoaringBitmap::new())
|
||||
}
|
||||
} else {
|
||||
return Err(fid.as_external_error(FilterError::AttributeNotFilterable {
|
||||
Err(fid.as_external_error(FilterError::AttributeNotFilterable {
|
||||
attribute: fid.value(),
|
||||
filterable_fields: filterable_fields.clone(),
|
||||
}))?;
|
||||
}))?
|
||||
}
|
||||
}
|
||||
FilterCondition::Condition { fid, op } => {
|
||||
if crate::is_faceted(fid.value(), filterable_fields) {
|
||||
let field_ids_map = index.fields_ids_map(rtxn)?;
|
||||
if let Some(fid) = field_ids_map.id(fid.value()) {
|
||||
Self::evaluate_operator(rtxn, index, fid, &op)
|
||||
Self::evaluate_operator(rtxn, index, fid, op)
|
||||
} else {
|
||||
return Ok(RoaringBitmap::new());
|
||||
Ok(RoaringBitmap::new())
|
||||
}
|
||||
} else {
|
||||
match fid.lexeme() {
|
||||
attribute @ "_geo" => {
|
||||
return Err(fid.as_external_error(FilterError::BadGeo(attribute)))?;
|
||||
Err(fid.as_external_error(FilterError::BadGeo(attribute)))?
|
||||
}
|
||||
attribute if attribute.starts_with("_geoPoint(") => {
|
||||
return Err(fid.as_external_error(FilterError::BadGeo("_geoPoint")))?;
|
||||
Err(fid.as_external_error(FilterError::BadGeo("_geoPoint")))?
|
||||
}
|
||||
attribute @ "_geoDistance" => {
|
||||
return Err(fid.as_external_error(FilterError::Reserved(attribute)))?;
|
||||
Err(fid.as_external_error(FilterError::Reserved(attribute)))?
|
||||
}
|
||||
attribute => {
|
||||
return Err(fid.as_external_error(
|
||||
FilterError::AttributeNotFilterable {
|
||||
attribute,
|
||||
filterable_fields: filterable_fields.clone(),
|
||||
},
|
||||
))?;
|
||||
Err(fid.as_external_error(FilterError::AttributeNotFilterable {
|
||||
attribute,
|
||||
filterable_fields: filterable_fields.clone(),
|
||||
}))?
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -477,10 +475,10 @@ impl<'a> Filter<'a> {
|
||||
|
||||
Ok(result)
|
||||
} else {
|
||||
return Err(point[0].as_external_error(FilterError::AttributeNotFilterable {
|
||||
Err(point[0].as_external_error(FilterError::AttributeNotFilterable {
|
||||
attribute: "_geo",
|
||||
filterable_fields: filterable_fields.clone(),
|
||||
}))?;
|
||||
}))?
|
||||
}
|
||||
}
|
||||
}
|
||||
|
@ -44,7 +44,7 @@ impl<'a> Iterator for MatchesIter<'a, '_> {
|
||||
|
||||
fn next(&mut self) -> Option<Self::Item> {
|
||||
match self.inner.next() {
|
||||
Some((matching_words, ids)) => match matching_words[0].match_token(&self.token) {
|
||||
Some((matching_words, ids)) => match matching_words[0].match_token(self.token) {
|
||||
Some(char_len) => {
|
||||
if matching_words.len() > 1 {
|
||||
Some(MatchType::Partial(PartialMatch {
|
||||
|
@ -49,16 +49,16 @@ impl<'a, A> MatcherBuilder<'a, A> {
|
||||
pub fn build<'t, 'm>(&'m self, text: &'t str) -> Matcher<'t, 'm, A> {
|
||||
let crop_marker = match &self.crop_marker {
|
||||
Some(marker) => marker.as_str(),
|
||||
None => &DEFAULT_CROP_MARKER,
|
||||
None => DEFAULT_CROP_MARKER,
|
||||
};
|
||||
|
||||
let highlight_prefix = match &self.highlight_prefix {
|
||||
Some(marker) => marker.as_str(),
|
||||
None => &DEFAULT_HIGHLIGHT_PREFIX,
|
||||
None => DEFAULT_HIGHLIGHT_PREFIX,
|
||||
};
|
||||
let highlight_suffix = match &self.highlight_suffix {
|
||||
Some(marker) => marker.as_str(),
|
||||
None => &DEFAULT_HIGHLIGHT_SUFFIX,
|
||||
None => DEFAULT_HIGHLIGHT_SUFFIX,
|
||||
};
|
||||
Matcher {
|
||||
text,
|
||||
@ -95,7 +95,7 @@ pub struct Match {
|
||||
token_position: usize,
|
||||
}
|
||||
|
||||
#[derive(Serialize, Debug, Clone, PartialEq)]
|
||||
#[derive(Serialize, Debug, Clone, PartialEq, Eq)]
|
||||
pub struct MatchBounds {
|
||||
pub start: usize,
|
||||
pub length: usize,
|
||||
@ -131,7 +131,7 @@ impl<'t, A: AsRef<[u8]>> Matcher<'t, '_, A> {
|
||||
potential_matches.push((token_position, word_position, partial.char_len()));
|
||||
|
||||
for (token_position, word_position, word) in words_positions {
|
||||
partial = match partial.match_token(&word) {
|
||||
partial = match partial.match_token(word) {
|
||||
// token matches the partial match, but the match is not full,
|
||||
// we temporarly save the current token then we try to match the next one.
|
||||
Some(MatchType::Partial(partial)) => {
|
||||
|
@ -188,8 +188,8 @@ impl<'a> Context for QueryTreeBuilder<'a> {
|
||||
}
|
||||
|
||||
fn min_word_len_for_typo(&self) -> heed::Result<(u8, u8)> {
|
||||
let one = self.index.min_word_len_one_typo(&self.rtxn)?;
|
||||
let two = self.index.min_word_len_two_typos(&self.rtxn)?;
|
||||
let one = self.index.min_word_len_one_typo(self.rtxn)?;
|
||||
let two = self.index.min_word_len_two_typos(self.rtxn)?;
|
||||
Ok((one, two))
|
||||
}
|
||||
|
||||
@ -207,7 +207,7 @@ impl<'a> Context for QueryTreeBuilder<'a> {
|
||||
self.index
|
||||
.word_pair_proximity_docids
|
||||
.remap_data_type::<CboRoaringBitmapLenCodec>()
|
||||
.get(&self.rtxn, &key)
|
||||
.get(self.rtxn, &key)
|
||||
}
|
||||
}
|
||||
|
||||
@ -313,7 +313,7 @@ pub struct TypoConfig<'a> {
|
||||
|
||||
/// Return the `QueryKind` of a word depending on `authorize_typos`
|
||||
/// and the provided word length.
|
||||
fn typos<'a>(word: String, authorize_typos: bool, config: TypoConfig<'a>) -> QueryKind {
|
||||
fn typos(word: String, authorize_typos: bool, config: TypoConfig<'_>) -> QueryKind {
|
||||
if authorize_typos && !config.exact_words.map_or(false, |s| s.contains(&word)) {
|
||||
let count = word.chars().count().min(u8::MAX as usize) as u8;
|
||||
if count < config.word_len_one_typo {
|
||||
@ -556,7 +556,7 @@ fn create_matching_words(
|
||||
for synonym in synonyms {
|
||||
let synonym = synonym
|
||||
.into_iter()
|
||||
.map(|syn| MatchingWord::new(syn.to_string(), 0, false))
|
||||
.map(|syn| MatchingWord::new(syn, 0, false))
|
||||
.collect();
|
||||
matching_words.push((synonym, vec![id]));
|
||||
}
|
||||
@ -583,8 +583,7 @@ fn create_matching_words(
|
||||
PrimitiveQueryPart::Phrase(words) => {
|
||||
let ids: Vec<_> =
|
||||
(0..words.len()).into_iter().map(|i| id + i as PrimitiveWordId).collect();
|
||||
let words =
|
||||
words.into_iter().map(|w| MatchingWord::new(w.to_string(), 0, false)).collect();
|
||||
let words = words.into_iter().map(|w| MatchingWord::new(w, 0, false)).collect();
|
||||
matching_words.push((words, ids));
|
||||
}
|
||||
}
|
||||
@ -639,7 +638,7 @@ fn create_matching_words(
|
||||
for synonym in synonyms {
|
||||
let synonym = synonym
|
||||
.into_iter()
|
||||
.map(|syn| MatchingWord::new(syn.to_string(), 0, false))
|
||||
.map(|syn| MatchingWord::new(syn, 0, false))
|
||||
.collect();
|
||||
matching_words.push((synonym, ids.clone()));
|
||||
}
|
||||
|
@ -127,7 +127,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
|
||||
// the `soft_deleted_documents_ids` bitmap and early exit.
|
||||
let size_used = self.index.used_size()?;
|
||||
let map_size = self.index.env.map_size()? as u64;
|
||||
let nb_documents = self.index.number_of_documents(&self.wtxn)?;
|
||||
let nb_documents = self.index.number_of_documents(self.wtxn)?;
|
||||
let nb_soft_deleted = soft_deleted_docids.len();
|
||||
|
||||
let percentage_available = 100 - (size_used * 100 / map_size);
|
||||
@ -158,12 +158,11 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
|
||||
// and we can reset the soft deleted bitmap
|
||||
self.index.put_soft_deleted_documents_ids(self.wtxn, &RoaringBitmap::new())?;
|
||||
|
||||
let primary_key = self.index.primary_key(self.wtxn)?.ok_or_else(|| {
|
||||
InternalError::DatabaseMissingEntry {
|
||||
let primary_key =
|
||||
self.index.primary_key(self.wtxn)?.ok_or(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.
|
||||
@ -433,7 +432,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
|
||||
.map(|point| (point, point.data.0))
|
||||
.unzip();
|
||||
points_to_remove.iter().for_each(|point| {
|
||||
rtree.remove(&point);
|
||||
rtree.remove(point);
|
||||
});
|
||||
geo_faceted_doc_ids -= docids_to_remove;
|
||||
|
||||
@ -534,7 +533,7 @@ fn remove_from_word_docids(
|
||||
// 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 = db.prefix_iter_mut(txn, &word)?;
|
||||
let mut iter = db.prefix_iter_mut(txn, word)?;
|
||||
if let Some((key, mut docids)) = iter.next().transpose()? {
|
||||
if key == word {
|
||||
let previous_len = docids.len();
|
||||
@ -597,7 +596,7 @@ fn remove_docids_from_facet_field_id_string_docids<'a, C, D>(
|
||||
// level key. We must then parse the value using the appropriate codec.
|
||||
let (group, mut docids) =
|
||||
FacetStringZeroBoundsValueCodec::<CboRoaringBitmapCodec>::bytes_decode(val)
|
||||
.ok_or_else(|| SerializationError::Decoding { db_name })?;
|
||||
.ok_or(SerializationError::Decoding { db_name })?;
|
||||
|
||||
let previous_len = docids.len();
|
||||
docids -= to_remove;
|
||||
@ -609,7 +608,7 @@ fn remove_docids_from_facet_field_id_string_docids<'a, C, D>(
|
||||
let val = &(group, docids);
|
||||
let value_bytes =
|
||||
FacetStringZeroBoundsValueCodec::<CboRoaringBitmapCodec>::bytes_encode(val)
|
||||
.ok_or_else(|| SerializationError::Encoding { db_name })?;
|
||||
.ok_or(SerializationError::Encoding { db_name })?;
|
||||
|
||||
// safety: we don't keep references from inside the LMDB database.
|
||||
unsafe { iter.put_current(&key, &value_bytes)? };
|
||||
@ -619,7 +618,7 @@ fn remove_docids_from_facet_field_id_string_docids<'a, C, D>(
|
||||
// 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 })?;
|
||||
.ok_or(SerializationError::Decoding { db_name })?;
|
||||
|
||||
let previous_len = docids.len();
|
||||
docids -= to_remove;
|
||||
@ -630,7 +629,7 @@ fn remove_docids_from_facet_field_id_string_docids<'a, C, D>(
|
||||
let key = key.to_owned();
|
||||
let val = &(original_value, docids);
|
||||
let value_bytes = FacetStringLevelZeroValueCodec::bytes_encode(val)
|
||||
.ok_or_else(|| SerializationError::Encoding { db_name })?;
|
||||
.ok_or(SerializationError::Encoding { db_name })?;
|
||||
|
||||
// safety: we don't keep references from inside the LMDB database.
|
||||
unsafe { iter.put_current(&key, &value_bytes)? };
|
||||
|
@ -262,8 +262,8 @@ impl<'t, 'u, 'i> Facets<'t, 'u, 'i> {
|
||||
/// 1. a vector of grenad::Reader. The reader at index `i` corresponds to the elements of level `i + 1`
|
||||
/// that must be inserted into the database.
|
||||
/// 2. a roaring bitmap of all the document ids present in the database
|
||||
fn compute_facet_number_levels<'t>(
|
||||
rtxn: &'t heed::RoTxn,
|
||||
fn compute_facet_number_levels(
|
||||
rtxn: &'_ heed::RoTxn,
|
||||
db: heed::Database<FacetLevelValueF64Codec, CboRoaringBitmapCodec>,
|
||||
compression_type: CompressionType,
|
||||
compression_level: Option<u32>,
|
||||
@ -496,7 +496,7 @@ where
|
||||
bitmaps.clear();
|
||||
}
|
||||
// level 0 is already stored in the DB
|
||||
return Ok(vec![]);
|
||||
Ok(vec![])
|
||||
} else {
|
||||
// level >= 1
|
||||
// we compute each element of this level based on the elements of the level below it
|
||||
@ -562,7 +562,7 @@ where
|
||||
}
|
||||
|
||||
sub_writers.push(writer_into_reader(cur_writer)?);
|
||||
return Ok(sub_writers);
|
||||
Ok(sub_writers)
|
||||
}
|
||||
}
|
||||
|
||||
@ -598,7 +598,7 @@ fn write_number_entry(
|
||||
) -> Result<()> {
|
||||
let key = (field_id, level, left, right);
|
||||
let key = FacetLevelValueF64Codec::bytes_encode(&key).ok_or(Error::Encoding)?;
|
||||
let data = CboRoaringBitmapCodec::bytes_encode(&ids).ok_or(Error::Encoding)?;
|
||||
let data = CboRoaringBitmapCodec::bytes_encode(ids).ok_or(Error::Encoding)?;
|
||||
writer.insert(&key, &data)?;
|
||||
Ok(())
|
||||
}
|
||||
|
@ -140,7 +140,7 @@ fn fetch_or_generate_document_id(
|
||||
}
|
||||
None => Ok(Err(UserError::MissingDocumentId {
|
||||
primary_key: primary_key.to_string(),
|
||||
document: obkv_to_object(&document, &documents_batch_index)?,
|
||||
document: obkv_to_object(document, documents_batch_index)?,
|
||||
})),
|
||||
}
|
||||
}
|
||||
@ -156,7 +156,7 @@ fn fetch_or_generate_document_id(
|
||||
if matching_documents_ids.len() >= 2 {
|
||||
return Ok(Err(UserError::TooManyDocumentIds {
|
||||
primary_key: nested.name().to_string(),
|
||||
document: obkv_to_object(&document, &documents_batch_index)?,
|
||||
document: obkv_to_object(document, documents_batch_index)?,
|
||||
}));
|
||||
}
|
||||
}
|
||||
@ -170,7 +170,7 @@ fn fetch_or_generate_document_id(
|
||||
},
|
||||
None => Ok(Err(UserError::MissingDocumentId {
|
||||
primary_key: nested.name().to_string(),
|
||||
document: obkv_to_object(&document, &documents_batch_index)?,
|
||||
document: obkv_to_object(document, documents_batch_index)?,
|
||||
})),
|
||||
}
|
||||
}
|
||||
@ -313,7 +313,7 @@ pub fn validate_document_id_value(document_id: Value) -> Result<StdResult<String
|
||||
None => Ok(Err(UserError::InvalidDocumentId { document_id: Value::String(string) })),
|
||||
},
|
||||
Value::Number(number) if number.is_i64() => Ok(Ok(number.to_string())),
|
||||
content => Ok(Err(UserError::InvalidDocumentId { document_id: content.clone() })),
|
||||
content => Ok(Err(UserError::InvalidDocumentId { document_id: content })),
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -132,7 +132,7 @@ fn json_to_string<'a>(value: &'a Value, buffer: &'a mut String) -> Option<&'a st
|
||||
}
|
||||
|
||||
if let Value::String(string) = value {
|
||||
Some(&string)
|
||||
Some(string)
|
||||
} else if inner(value, buffer) {
|
||||
Some(buffer)
|
||||
} else {
|
||||
|
@ -67,7 +67,7 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
|
||||
facet_exists_docids.entry(field_id).or_default().insert(document);
|
||||
|
||||
// For the other extraction tasks, prefix the key with the field_id and the document_id
|
||||
key_buffer.extend_from_slice(&docid_bytes);
|
||||
key_buffer.extend_from_slice(docid_bytes);
|
||||
|
||||
let value =
|
||||
serde_json::from_slice(field_bytes).map_err(InternalError::SerdeJson)?;
|
||||
@ -107,8 +107,8 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
|
||||
let facet_exists_docids_reader = writer_into_reader(facet_exists_docids_writer)?;
|
||||
|
||||
Ok((
|
||||
sorter_into_reader(fid_docid_facet_numbers_sorter, indexer.clone())?,
|
||||
sorter_into_reader(fid_docid_facet_strings_sorter, indexer.clone())?,
|
||||
sorter_into_reader(fid_docid_facet_numbers_sorter, indexer)?,
|
||||
sorter_into_reader(fid_docid_facet_strings_sorter, indexer)?,
|
||||
facet_exists_docids_reader,
|
||||
))
|
||||
}
|
||||
|
@ -150,7 +150,7 @@ pub(crate) fn data_from_obkv_documents(
|
||||
spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
|
||||
docid_fid_facet_numbers_chunks,
|
||||
indexer,
|
||||
lmdb_writer_sx.clone(),
|
||||
lmdb_writer_sx,
|
||||
extract_facet_number_docids,
|
||||
merge_cbo_roaring_bitmaps,
|
||||
TypedChunk::FieldIdFacetNumberDocids,
|
||||
|
Loading…
x
Reference in New Issue
Block a user