mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-23 21:20:24 +01:00
remove multiple bugs
This commit is contained in:
parent
b4b6ba6d82
commit
70ab2c37c5
@ -21,19 +21,22 @@ pub fn extract_geo_points<R: io::Read>(
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})?;
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// we never encountered any documents with a `_geo` field. We can skip entirely this step
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if geo_field_id.is_none() {
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return Ok(writer_into_reader(writer)?);
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}
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let geo_field_id = geo_field_id.unwrap();
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let geo_field_id = match geo_field_id {
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Some(geo) => geo,
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None => return Ok(writer_into_reader(writer)?),
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};
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while let Some((docid_bytes, value)) = obkv_documents.next()? {
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let obkv = obkv::KvReader::new(value);
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let point = obkv.get(geo_field_id).unwrap(); // TODO: TAMO where should we handle this error?
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let point = match obkv.get(geo_field_id) {
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Some(point) => point,
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None => continue,
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};
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let point: Value = serde_json::from_slice(point).map_err(InternalError::SerdeJson)?;
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if let Some((lat, lng)) = point["lat"].as_f64().zip(point["lng"].as_f64()) {
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// this will create an array of 16 bytes (two 8 bytes floats)
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let bytes: [u8; 16] = concat_arrays![lat.to_le_bytes(), lng.to_le_bytes()];
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let bytes: [u8; 16] = concat_arrays![lat.to_ne_bytes(), lng.to_ne_bytes()];
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writer.insert(docid_bytes, bytes)?;
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} else {
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// TAMO: improve the warn
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@ -51,13 +51,14 @@ pub(crate) fn data_from_obkv_documents(
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lmdb_writer_sx.clone(),
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&searchable_fields,
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&faceted_fields,
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geo_field_id,
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&stop_words,
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)
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})
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.collect();
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let (
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(docid_word_positions_chunks),
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docid_word_positions_chunks,
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(docid_fid_facet_numbers_chunks, docid_fid_facet_strings_chunks),
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) = result?;
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@ -121,16 +122,6 @@ pub(crate) fn data_from_obkv_documents(
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"field-id-facet-number-docids",
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);
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spawn_extraction_task(
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documents_chunk,
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indexer.clone(),
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lmdb_writer_sx.clone(),
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move |documents, indexer| extract_geo_points(documents, indexer, geo_field_id),
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merge_cbo_roaring_bitmaps,
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TypedChunk::GeoPoints,
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"geo-points",
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);
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Ok(())
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}
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@ -181,6 +172,7 @@ fn extract_documents_data(
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lmdb_writer_sx: Sender<Result<TypedChunk>>,
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searchable_fields: &Option<HashSet<FieldId>>,
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faceted_fields: &HashSet<FieldId>,
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geo_field_id: Option<FieldId>,
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stop_words: &Option<fst::Set<&[u8]>>,
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) -> Result<(
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grenad::Reader<CursorClonableMmap>,
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@ -190,6 +182,12 @@ fn extract_documents_data(
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let _ = lmdb_writer_sx.send(Ok(TypedChunk::Documents(documents_chunk.clone())));
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let (documents_chunk_cloned, lmdb_writer_sx_cloned) = (documents_chunk.clone(), lmdb_writer_sx.clone());
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rayon::spawn(move || {
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let geo_points = extract_geo_points(documents_chunk_cloned, indexer, geo_field_id).unwrap();
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lmdb_writer_sx_cloned.send(Ok(TypedChunk::GeoPoints(geo_points))).unwrap();
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});
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let (docid_word_positions_chunk, docid_fid_facet_values_chunks): (Result<_>, Result<_>) =
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rayon::join(
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|| {
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@ -181,16 +181,16 @@ pub(crate) fn write_typed_chunk_into_index(
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}
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TypedChunk::GeoPoints(mut geo_points) => {
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// TODO: TAMO: we should create the rtree with the `RTree::bulk_load` function
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let mut rtree = index.geo_rtree(&index.read_txn()?)?.unwrap_or_default();
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let mut rtree = index.geo_rtree(wtxn)?.unwrap_or_default();
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while let Some((key, value)) = geo_points.next()? {
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// convert the key back to a u32 (4 bytes)
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let (key, _) = helpers::try_split_array_at::<u8, 4>(key).unwrap();
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let key = u32::from_le_bytes(key);
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let key = u32::from_be_bytes(key);
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// convert the latitude and longitude back to a f64 (8 bytes)
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let (lat, tail) = helpers::try_split_array_at::<u8, 8>(value).unwrap();
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let (lng, _) = helpers::try_split_array_at::<u8, 8>(tail).unwrap();
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let point = [f64::from_le_bytes(lat), f64::from_le_bytes(lng)];
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let point = [f64::from_ne_bytes(lat), f64::from_ne_bytes(lng)];
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rtree.insert(GeoPoint::new(point, key));
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}
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index.put_geo_rtree(wtxn, &rtree)?;
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