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This commit is contained in:
ManyTheFish 2024-11-21 16:37:55 +01:00
parent 32bcacefd5
commit 36962b943b
16 changed files with 18 additions and 531 deletions
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2
Cargo.lock generated
View File

@ -4483,7 +4483,7 @@ dependencies = [
[[package]]
name = "raw-collections"
version = "0.1.0"
source = "git+https://github.com/dureuill/raw-collections.git#15e5d7bdebc0c149b2a28b2454f307c717d07f8a"
source = "git+https://github.com/meilisearch/raw-collections.git#15e5d7bdebc0c149b2a28b2454f307c717d07f8a"
dependencies = [
"allocator-api2",
"bitpacking",

2
crates/index-scheduler/Cargo.toml
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@ -22,7 +22,7 @@ flate2 = "1.0.30"
meilisearch-auth = { path = "../meilisearch-auth" }
meilisearch-types = { path = "../meilisearch-types" }
page_size = "0.6.0"
raw-collections = { git = "https://github.com/dureuill/raw-collections.git", version = "0.1.0" }
raw-collections = { git = "https://github.com/meilisearch/raw-collections.git", version = "0.1.0" }
rayon = "1.10.0"
roaring = { version = "0.10.6", features = ["serde"] }
serde = { version = "1.0.204", features = ["derive"] }

11
crates/index-scheduler/src/batch.rs
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@ -1411,17 +1411,6 @@ impl IndexScheduler {
tracing::info!(indexing_result = ?addition, processed_in = ?started_processing_at.elapsed(), "document indexing done");
}
// else if primary_key_has_been_set {
// // Everything failed but we've set a primary key.
// // We need to remove it.
// let mut builder =
// milli::update::Settings::new(index_wtxn, index, indexer_config);
// builder.reset_primary_key();
// builder.execute(
// |indexing_step| tracing::trace!(update = ?indexing_step),
// || must_stop_processing.clone().get(),
// )?;
// }
Ok(tasks)
}

4
crates/index-scheduler/src/lib.rs
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@ -1365,6 +1365,7 @@ impl IndexScheduler {
let ProcessingTasks { batch, processing, progress } =
self.processing_tasks.read().map_err(|_| Error::CorruptedTaskQueue)?.clone();
// ignored for now, might be added to batch details later
let _ = progress;
let ret = tasks.into_iter();
@ -5198,11 +5199,9 @@ mod tests {
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "only_first_task_succeed");
// The second batch should fail.
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "second_task_fails");
// The second batch should fail.
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "third_task_fails");
@ -5263,7 +5262,6 @@ mod tests {
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "only_first_task_succeed");
// The second batch should fail and contains two tasks.
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "second_and_third_tasks_fails");

2
crates/meilisearch-types/Cargo.toml
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@ -24,7 +24,7 @@ flate2 = "1.0.30"
fst = "0.4.7"
memmap2 = "0.9.4"
milli = { path = "../milli" }
raw-collections = { git = "https://github.com/dureuill/raw-collections.git", version = "0.1.0" }
raw-collections = { git = "https://github.com/meilisearch/raw-collections.git", version = "0.1.0" }
roaring = { version = "0.10.6", features = ["serde"] }
serde = { version = "1.0.204", features = ["derive"] }
serde-cs = "0.2.4"

5
crates/meilisearch-types/src/document_formats.rs
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@ -128,7 +128,6 @@ impl ErrorCode for DocumentFormatError {
}
}
// TODO remove that from the place I've borrowed it
#[derive(Debug)]
enum AllowedType {
String,
@ -213,7 +212,7 @@ pub fn read_csv(input: &File, output: impl io::Write, delimiter: u8) -> Result<u
/// Reads JSON from file and write it in NDJSON in a file checking it along the way.
pub fn read_json(input: &File, output: impl io::Write) -> Result<u64> {
// We memory map to be able to deserailize into a TopLevelMap<'pl> that
// We memory map to be able to deserialize into a TopLevelMap<'pl> that
// does not allocate when possible and only materialize the first/top level.
let input = unsafe { Mmap::map(input).map_err(DocumentFormatError::Io)? };
let mut doc_alloc = Bump::with_capacity(1024 * 1024 * 1024); // 1MiB
@ -254,7 +253,7 @@ pub fn read_json(input: &File, output: impl io::Write) -> Result<u64> {
/// Reads NDJSON from file and write it in NDJSON in a file checking it along the way.
pub fn read_ndjson(input: &File, output: impl io::Write) -> Result<u64> {
// We memory map to be able to deserailize into a TopLevelMap<'pl> that
// We memory map to be able to deserialize into a TopLevelMap<'pl> that
// does not allocate when possible and only materialize the first/top level.
let input = unsafe { Mmap::map(input).map_err(DocumentFormatError::Io)? };
let mut output = BufWriter::new(output);

2
crates/meilisearch/tests/vector/openai.rs
View File

@ -172,7 +172,7 @@ async fn create_mock_with_template(
}))
}
}
// 3. check API key
// 2. check API key
match req.headers.get("Authorization") {
Some(api_key) if api_key == API_KEY_BEARER => {
{}

2
crates/milli/Cargo.toml
View File

@ -95,7 +95,7 @@ ureq = { version = "2.10.0", features = ["json"] }
url = "2.5.2"
rayon-par-bridge = "0.1.0"
hashbrown = "0.15.0"
raw-collections = { git = "https://github.com/dureuill/raw-collections.git", version = "0.1.0" }
raw-collections = { git = "https://github.com/meilisearch/raw-collections.git", version = "0.1.0" }
bumpalo = "3.16.0"
thread_local = "1.1.8"
allocator-api2 = "0.2.18"

460
crates/milli/src/documents/builder.rs
View File

@ -2,7 +2,7 @@ use std::io::{self, Write};
use grenad::{CompressionType, WriterBuilder};
use serde::de::Deserializer;
use serde_json::{to_writer, Value};
use serde_json::to_writer;
use super::{DocumentsBatchIndex, Error, DOCUMENTS_BATCH_INDEX_KEY};
use crate::documents::serde_impl::DocumentVisitor;
@ -87,95 +87,6 @@ impl<W: Write> DocumentsBatchBuilder<W> {
de.deserialize_any(&mut visitor)?
}
/// Appends a new CSV file into the batch and updates the `DocumentsBatchIndex` accordingly.
pub fn append_csv<R: io::Read>(&mut self, mut reader: csv::Reader<R>) -> Result<(), Error> {
// Make sure that we insert the fields ids in order as the obkv writer has this requirement.
let mut typed_fields_ids: Vec<_> = reader
.headers()?
.into_iter()
.map(parse_csv_header)
.map(|(k, t)| (self.fields_index.insert(k), t))
.enumerate()
.collect();
// Make sure that we insert the fields ids in order as the obkv writer has this requirement.
typed_fields_ids.sort_unstable_by_key(|(_, (fid, _))| *fid);
let mut record = csv::StringRecord::new();
let mut line = 0;
while reader.read_record(&mut record)? {
// We increment here and not at the end of the while loop to take
// the header offset into account.
line += 1;
self.obkv_buffer.clear();
let mut writer = obkv::KvWriter::new(&mut self.obkv_buffer);
for (i, (field_id, type_)) in typed_fields_ids.iter() {
self.value_buffer.clear();
let value = &record[*i];
let trimmed_value = value.trim();
match type_ {
AllowedType::Number => {
if trimmed_value.is_empty() {
to_writer(&mut self.value_buffer, &Value::Null)?;
} else if let Ok(integer) = trimmed_value.parse::<i64>() {
to_writer(&mut self.value_buffer, &integer)?;
} else {
match trimmed_value.parse::<f64>() {
Ok(float) => {
to_writer(&mut self.value_buffer, &float)?;
}
Err(error) => {
return Err(Error::ParseFloat {
error,
line,
value: value.to_string(),
});
}
}
}
}
AllowedType::Boolean => {
if trimmed_value.is_empty() {
to_writer(&mut self.value_buffer, &Value::Null)?;
} else {
match trimmed_value.parse::<bool>() {
Ok(bool) => {
to_writer(&mut self.value_buffer, &bool)?;
}
Err(error) => {
return Err(Error::ParseBool {
error,
line,
value: value.to_string(),
});
}
}
}
}
AllowedType::String => {
if value.is_empty() {
to_writer(&mut self.value_buffer, &Value::Null)?;
} else {
to_writer(&mut self.value_buffer, value)?;
}
}
}
// We insert into the obkv writer the value buffer that has been filled just above.
writer.insert(*field_id, &self.value_buffer)?;
}
let internal_id = self.documents_count.to_be_bytes();
let document_bytes = writer.into_inner()?;
self.writer.insert(internal_id, &document_bytes)?;
self.documents_count += 1;
}
Ok(())
}
/// Flushes the content on disk and stores the final version of the `DocumentsBatchIndex`.
pub fn into_inner(mut self) -> io::Result<W> {
let DocumentsBatchBuilder { mut writer, fields_index, .. } = self;
@ -189,35 +100,12 @@ impl<W: Write> DocumentsBatchBuilder<W> {
}
}
#[derive(Debug)]
enum AllowedType {
String,
Boolean,
Number,
}
fn parse_csv_header(header: &str) -> (&str, AllowedType) {
// if there are several separators we only split on the last one.
match header.rsplit_once(':') {
Some((field_name, field_type)) => match field_type {
"string" => (field_name, AllowedType::String),
"boolean" => (field_name, AllowedType::Boolean),
"number" => (field_name, AllowedType::Number),
// if the pattern isn't recognized, we keep the whole field.
_otherwise => (header, AllowedType::String),
},
None => (header, AllowedType::String),
}
}
#[cfg(test)]
mod test {
use std::io::Cursor;
use serde_json::json;
use super::*;
use crate::documents::{obkv_to_object, DocumentsBatchReader};
use crate::documents::DocumentsBatchReader;
#[test]
fn add_single_documents_json() {
@ -253,348 +141,4 @@ mod test {
assert!(cursor.next_document().unwrap().is_none());
}
#[test]
fn add_documents_csv() {
let csv_content = "id:number,field:string\n1,hello!\n2,blabla";
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
assert_eq!(builder.documents_count(), 2);
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
assert_eq!(index.len(), 2);
let document = cursor.next_document().unwrap().unwrap();
assert_eq!(document.iter().count(), 2);
let document = cursor.next_document().unwrap().unwrap();
assert_eq!(document.iter().count(), 2);
assert!(cursor.next_document().unwrap().is_none());
}
#[test]
fn simple_csv_document() {
let csv_content = r#"city,country,pop
"Boston","United States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"city": "Boston",
"country": "United States",
"pop": "4628910",
})
);
assert!(cursor.next_document().unwrap().is_none());
}
#[test]
fn coma_in_field() {
let csv_content = r#"city,country,pop
"Boston","United, States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"city": "Boston",
"country": "United, States",
"pop": "4628910",
})
);
}
#[test]
fn quote_in_field() {
let csv_content = r#"city,country,pop
"Boston","United"" States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"city": "Boston",
"country": "United\" States",
"pop": "4628910",
})
);
}
#[test]
fn integer_in_field() {
let csv_content = r#"city,country,pop:number
"Boston","United States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"city": "Boston",
"country": "United States",
"pop": 4628910,
})
);
}
#[test]
fn integer_as_id() {
let csv_content = r#""id:number","title:string","comment:string"
"1239","Pride and Prejudice","A great book""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"id": 1239,
"title": "Pride and Prejudice",
"comment": "A great book",
})
);
}
#[test]
fn float_in_field() {
let csv_content = r#"city,country,pop:number
"Boston","United States","4628910.01""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"city": "Boston",
"country": "United States",
"pop": 4628910.01,
})
);
}
#[test]
fn several_colon_in_header() {
let csv_content = r#"city:love:string,country:state,pop
"Boston","United States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"city:love": "Boston",
"country:state": "United States",
"pop": "4628910",
})
);
}
#[test]
fn ending_by_colon_in_header() {
let csv_content = r#"city:,country,pop
"Boston","United States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"city:": "Boston",
"country": "United States",
"pop": "4628910",
})
);
}
#[test]
fn starting_by_colon_in_header() {
let csv_content = r#":city,country,pop
"Boston","United States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
":city": "Boston",
"country": "United States",
"pop": "4628910",
})
);
}
#[ignore]
#[test]
fn starting_by_colon_in_header2() {
let csv_content = r#":string,country,pop
"Boston","United States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, _) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
assert!(cursor.next_document().is_err());
}
#[test]
fn double_colon_in_header() {
let csv_content = r#"city::string,country,pop
"Boston","United States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv).unwrap();
let vector = builder.into_inner().unwrap();
let (mut cursor, index) = DocumentsBatchReader::from_reader(Cursor::new(vector))
.unwrap()
.into_cursor_and_fields_index();
let doc = cursor.next_document().unwrap().unwrap();
let val = obkv_to_object(doc, &index).map(Value::from).unwrap();
assert_eq!(
val,
json!({
"city:": "Boston",
"country": "United States",
"pop": "4628910",
})
);
}
#[test]
fn bad_type_in_header() {
let csv_content = r#"city,country:number,pop
"Boston","United States","4628910""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
assert!(builder.append_csv(csv).is_err());
}
#[test]
fn bad_column_count1() {
let csv_content = r#"city,country,pop
"Boston","United States","4628910", "too much
let csv = csv::Reader::from_reader(Cursor::new(csv_content"#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
assert!(builder.append_csv(csv).is_err());
}
#[test]
fn bad_column_count2() {
let csv_content = r#"city,country,pop
"Boston","United States""#;
let csv = csv::Reader::from_reader(Cursor::new(csv_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
assert!(builder.append_csv(csv).is_err());
}
}

29
crates/milli/src/documents/mod.rs
View File

@ -253,33 +253,4 @@ mod test {
{"id": 2,"a": 0,"b": 0},
]);
}
#[test]
fn csv_types_dont_panic() {
let csv1_content =
"id:number,b:boolean,c,d:number\n1,,,\n2,true,doggo,2\n3,false,the best doggo,-2\n4,,\"Hello, World!\",2.5";
let csv1 = csv::Reader::from_reader(Cursor::new(csv1_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv1).unwrap();
let vector = builder.into_inner().unwrap();
DocumentsBatchReader::from_reader(Cursor::new(vector)).unwrap();
}
#[test]
fn out_of_order_csv_fields() {
let csv1_content = "id:number,b\n1,0";
let csv1 = csv::Reader::from_reader(Cursor::new(csv1_content));
let csv2_content = "id:number,a,b\n2,0,0";
let csv2 = csv::Reader::from_reader(Cursor::new(csv2_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv1).unwrap();
builder.append_csv(csv2).unwrap();
let vector = builder.into_inner().unwrap();
DocumentsBatchReader::from_reader(Cursor::new(vector)).unwrap();
}
}

2
crates/milli/src/fields_ids_map/metadata.rs
View File

@ -102,6 +102,7 @@ impl Metadata {
rules: &'rules [LocalizedAttributesRule],
) -> Option<&'rules [Language]> {
let localized_attributes_rule_id = self.localized_attributes_rule_id?.get();
// - 1: `localized_attributes_rule_id` is NonZero
let rule = rules.get((localized_attributes_rule_id - 1) as usize).unwrap();
Some(rule.locales())
}
@ -160,6 +161,7 @@ impl MetadataBuilder {
.iter()
.flat_map(|v| v.iter())
.position(|rule| rule.match_str(field))
// saturating_add(1): make `id` `NonZero`
.map(|id| NonZeroU16::new(id.saturating_add(1).try_into().unwrap()).unwrap());
Metadata { searchable, filterable, sortable, localized_attributes_rule_id }

1
crates/milli/src/heed_codec/facet/ordered_f64_codec.rs
View File

@ -46,6 +46,7 @@ fn encode_f64_into_ordered_bytes(
f: f64,
buffer: &mut [u8; 16],
) -> Result<(), InvalidGloballyOrderedFloatError> {
// write the globally ordered float
let bytes = f64_into_bytes(f).ok_or(InvalidGloballyOrderedFloatError { float: f })?;
buffer[..8].copy_from_slice(&bytes[..]);
// Then the f64 value just to be able to read it back

22
crates/milli/src/update/new/channel.rs
View File

@ -87,23 +87,10 @@ pub enum WriterOperation {
}
pub enum ArroyOperation {
/// TODO: call when deleting regular documents
DeleteVectors {
docid: DocumentId,
},
SetVectors {
docid: DocumentId,
embedder_id: u8,
embeddings: Vec<Embedding>,
},
SetVector {
docid: DocumentId,
embedder_id: u8,
embedding: Embedding,
},
Finish {
configs: Vec<IndexEmbeddingConfig>,
},
DeleteVectors { docid: DocumentId },
SetVectors { docid: DocumentId, embedder_id: u8, embeddings: Vec<Embedding> },
SetVector { docid: DocumentId, embedder_id: u8, embedding: Embedding },
Finish { configs: Vec<IndexEmbeddingConfig> },
}
pub struct DbOperation {
@ -334,7 +321,6 @@ impl DocidsSender for FacetDocidsSender<'_> {
fn write(&self, key: &[u8], value: &[u8]) -> StdResult<(), SendError<()>> {
let (facet_kind, key) = FacetKind::extract_from_key(key);
let database = Database::from(facet_kind);
// let entry = EntryOperation::Write(KeyValueEntry::from_small_key_value(key, value));
let entry = match facet_kind {
// skip level group size
FacetKind::String | FacetKind::Number => {

1
crates/milli/src/update/new/extract/documents.rs
View File

@ -140,7 +140,6 @@ impl<'a, 'extractor> Extractor<'extractor> for DocumentsExtractor<'a> {
)?;
document_extractor_data.docids_delta.insert_add_u32(docid);
self.document_sender.uncompressed(docid, external_docid, content).unwrap();
// extracted_dictionary_sender.send(self, dictionary: &[u8]);
}
}
}

3
crates/milli/src/update/new/extract/geo/mod.rs
View File

@ -137,7 +137,6 @@ impl<'extractor> Extractor<'extractor> for GeoExtractor {
fn init_data<'doc>(&'doc self, extractor_alloc: &'extractor Bump) -> Result<Self::Data> {
Ok(RefCell::new(GeoExtractorData {
removed: bumpalo::collections::Vec::new_in(extractor_alloc),
// inserted: Uell::new_in(extractor_alloc),
inserted: bumpalo::collections::Vec::new_in(extractor_alloc),
spilled_inserted: None,
spilled_removed: None,
@ -242,7 +241,7 @@ impl<'extractor> Extractor<'extractor> for GeoExtractor {
}
}
/// Extracts and validate the latitude and latitude from a document geo field.
/// Extracts and validates the latitude and latitude from a document geo field.
///
/// It can be of the form `{ "lat": 0.0, "lng": "1.0" }`.
pub fn extract_geo_coordinates(

1
crates/milli/src/update/new/extract/searchable/extract_word_docids.rs
View File

@ -35,7 +35,6 @@ pub struct WordDocidsBalancedCaches<'extractor> {
unsafe impl<'extractor> MostlySend for WordDocidsBalancedCaches<'extractor> {}
impl<'extractor> WordDocidsBalancedCaches<'extractor> {
/// TODO Make sure to give the same max_memory to all of them, without splitting it
pub fn new_in(buckets: usize, max_memory: Option<usize>, alloc: &'extractor Bump) -> Self {
Self {
word_fid_docids: BalancedCaches::new_in(buckets, max_memory, alloc),