mirror of
https://github.com/meilisearch/meilisearch.git
synced 2025-07-28 09:11:00 +00:00
Merge branch 'main' into release-v1.14.0-tmp
This commit is contained in:
@ -115,7 +115,7 @@ pub fn enrich_documents_batch<R: Read + Seek>(
|
||||
|
||||
if let Some(geo_value) = geo_field_id.and_then(|fid| document.get(fid)) {
|
||||
if let Err(user_error) = validate_geo_from_json(&document_id, geo_value)? {
|
||||
return Ok(Err(UserError::from(user_error)));
|
||||
return Ok(Err(UserError::from(Box::new(user_error))));
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -160,11 +160,11 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
|
||||
let del_geo_support = settings_diff
|
||||
.old
|
||||
.geo_fields_ids
|
||||
.map_or(false, |(lat, lng)| field_id == lat || field_id == lng);
|
||||
.is_some_and(|(lat, lng)| field_id == lat || field_id == lng);
|
||||
let add_geo_support = settings_diff
|
||||
.new
|
||||
.geo_fields_ids
|
||||
.map_or(false, |(lat, lng)| field_id == lat || field_id == lng);
|
||||
.is_some_and(|(lat, lng)| field_id == lat || field_id == lng);
|
||||
let del_filterable_values =
|
||||
del_value.map(|value| extract_facet_values(&value, del_geo_support));
|
||||
let add_filterable_values =
|
||||
|
@ -80,22 +80,28 @@ fn extract_lat_lng(
|
||||
let (lat, lng) = match (lat, lng) {
|
||||
(Some(lat), Some(lng)) => (lat, lng),
|
||||
(Some(_), None) => {
|
||||
return Err(GeoError::MissingLatitude { document_id: document_id() }.into())
|
||||
return Err(
|
||||
Box::new(GeoError::MissingLatitude { document_id: document_id() }).into()
|
||||
)
|
||||
}
|
||||
(None, Some(_)) => {
|
||||
return Err(GeoError::MissingLongitude { document_id: document_id() }.into())
|
||||
return Err(
|
||||
Box::new(GeoError::MissingLongitude { document_id: document_id() }).into()
|
||||
)
|
||||
}
|
||||
(None, None) => return Ok(None),
|
||||
};
|
||||
let lat = extract_finite_float_from_value(
|
||||
serde_json::from_slice(lat).map_err(InternalError::SerdeJson)?,
|
||||
)
|
||||
.map_err(|lat| GeoError::BadLatitude { document_id: document_id(), value: lat })?;
|
||||
.map_err(|lat| GeoError::BadLatitude { document_id: document_id(), value: lat })
|
||||
.map_err(Box::new)?;
|
||||
|
||||
let lng = extract_finite_float_from_value(
|
||||
serde_json::from_slice(lng).map_err(InternalError::SerdeJson)?,
|
||||
)
|
||||
.map_err(|lng| GeoError::BadLongitude { document_id: document_id(), value: lng })?;
|
||||
.map_err(|lng| GeoError::BadLongitude { document_id: document_id(), value: lng })
|
||||
.map_err(Box::new)?;
|
||||
Ok(Some([lat, lng]))
|
||||
}
|
||||
None => Ok(None),
|
||||
|
@ -69,7 +69,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
|
||||
let document_id = u32::from_be_bytes(document_id_bytes);
|
||||
|
||||
// if we change document, we fill the sorter
|
||||
if current_document_id.map_or(false, |id| id != document_id) {
|
||||
if current_document_id.is_some_and(|id| id != document_id) {
|
||||
// FIXME: span inside of a hot loop might degrade performance and create big reports
|
||||
let span = tracing::trace_span!(target: "indexing::details", "document_into_sorter");
|
||||
let _entered = span.enter();
|
||||
@ -96,7 +96,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
|
||||
if let Some(deletion) = KvReaderDelAdd::from_slice(value).get(DelAdd::Deletion) {
|
||||
for (position, word) in KvReaderU16::from_slice(deletion).iter() {
|
||||
// drain the proximity window until the head word is considered close to the word we are inserting.
|
||||
while del_word_positions.front().map_or(false, |(_w, p)| {
|
||||
while del_word_positions.front().is_some_and(|(_w, p)| {
|
||||
index_proximity(*p as u32, position as u32) >= MAX_DISTANCE
|
||||
}) {
|
||||
word_positions_into_word_pair_proximity(
|
||||
@ -129,7 +129,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
|
||||
if let Some(addition) = KvReaderDelAdd::from_slice(value).get(DelAdd::Addition) {
|
||||
for (position, word) in KvReaderU16::from_slice(addition).iter() {
|
||||
// drain the proximity window until the head word is considered close to the word we are inserting.
|
||||
while add_word_positions.front().map_or(false, |(_w, p)| {
|
||||
while add_word_positions.front().is_some_and(|(_w, p)| {
|
||||
index_proximity(*p as u32, position as u32) >= MAX_DISTANCE
|
||||
}) {
|
||||
word_positions_into_word_pair_proximity(
|
||||
|
@ -46,7 +46,7 @@ pub fn extract_word_position_docids<R: io::Read + io::Seek>(
|
||||
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
|
||||
let document_id = DocumentId::from_be_bytes(document_id_bytes);
|
||||
|
||||
if current_document_id.map_or(false, |id| document_id != id) {
|
||||
if current_document_id.is_some_and(|id| document_id != id) {
|
||||
words_position_into_sorter(
|
||||
current_document_id.unwrap(),
|
||||
&mut key_buffer,
|
||||
|
@ -281,7 +281,7 @@ fn send_original_documents_data(
|
||||
};
|
||||
if !(remove_vectors.is_empty()
|
||||
&& manual_vectors.is_empty()
|
||||
&& embeddings.as_ref().map_or(true, |e| e.is_empty()))
|
||||
&& embeddings.as_ref().is_none_or(|e| e.is_empty()))
|
||||
{
|
||||
let _ = lmdb_writer_sx.send(Ok(TypedChunk::VectorPoints {
|
||||
remove_vectors,
|
||||
|
@ -514,12 +514,9 @@ where
|
||||
InternalError::DatabaseMissingEntry { db_name: "embedder_category_id", key: None },
|
||||
)?;
|
||||
let embedder_config = settings_diff.embedding_config_updates.get(&embedder_name);
|
||||
let was_quantized = settings_diff
|
||||
.old
|
||||
.embedding_configs
|
||||
.get(&embedder_name)
|
||||
.map_or(false, |conf| conf.2);
|
||||
let is_quantizing = embedder_config.map_or(false, |action| action.is_being_quantized);
|
||||
let was_quantized =
|
||||
settings_diff.old.embedding_configs.get(&embedder_name).is_some_and(|conf| conf.2);
|
||||
let is_quantizing = embedder_config.is_some_and(|action| action.is_being_quantized);
|
||||
|
||||
pool.install(|| {
|
||||
let mut writer = ArroyWrapper::new(vector_arroy, embedder_index, was_quantized);
|
||||
|
@ -197,7 +197,7 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
// drop_and_reuse is called instead of .clear() to communicate to the compiler that field_buffer
|
||||
// does not keep references from the cursor between loop iterations
|
||||
let mut field_buffer_cache = drop_and_reuse(field_buffer);
|
||||
if self.indexer_settings.log_every_n.map_or(false, |len| documents_count % len == 0) {
|
||||
if self.indexer_settings.log_every_n.is_some_and(|len| documents_count % len == 0) {
|
||||
progress_callback(UpdateIndexingStep::RemapDocumentAddition {
|
||||
documents_seen: documents_count,
|
||||
});
|
||||
|
@ -55,7 +55,7 @@ impl ChunkAccumulator {
|
||||
match self
|
||||
.inner
|
||||
.iter()
|
||||
.position(|right| right.first().map_or(false, |right| chunk.mergeable_with(right)))
|
||||
.position(|right| right.first().is_some_and(|right| chunk.mergeable_with(right)))
|
||||
{
|
||||
Some(position) => {
|
||||
let v = self.inner.get_mut(position).unwrap();
|
||||
@ -664,11 +664,8 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
let embedder_index = index.embedder_category_id.get(wtxn, &embedder_name)?.ok_or(
|
||||
InternalError::DatabaseMissingEntry { db_name: "embedder_category_id", key: None },
|
||||
)?;
|
||||
let binary_quantized = settings_diff
|
||||
.old
|
||||
.embedding_configs
|
||||
.get(&embedder_name)
|
||||
.map_or(false, |conf| conf.2);
|
||||
let binary_quantized =
|
||||
settings_diff.old.embedding_configs.get(&embedder_name).is_some_and(|conf| conf.2);
|
||||
// FIXME: allow customizing distance
|
||||
let writer = ArroyWrapper::new(index.vector_arroy, embedder_index, binary_quantized);
|
||||
|
||||
|
Reference in New Issue
Block a user