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Merge #4039
4039: Fix multiple vectors dimensions r=ManyTheFish a=Kerollmops This PR fixes #4035, making providing multiple vectors in documents possible. This is fixed by extracting the vectors from the non-flattened version of the documents. Co-authored-by: Kerollmops <clement@meilisearch.com>
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commit
256cf33bca
@ -55,7 +55,13 @@ pub(crate) fn data_from_obkv_documents(
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original_obkv_chunks
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.par_bridge()
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.map(|original_documents_chunk| {
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send_original_documents_data(original_documents_chunk, lmdb_writer_sx.clone())
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send_original_documents_data(
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original_documents_chunk,
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indexer,
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lmdb_writer_sx.clone(),
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vectors_field_id,
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primary_key_id,
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)
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})
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.collect::<Result<()>>()?;
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@ -72,7 +78,6 @@ pub(crate) fn data_from_obkv_documents(
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&faceted_fields,
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primary_key_id,
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geo_fields_ids,
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vectors_field_id,
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&stop_words,
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max_positions_per_attributes,
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)
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@ -257,11 +262,33 @@ fn spawn_extraction_task<FE, FS, M>(
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/// - documents
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fn send_original_documents_data(
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original_documents_chunk: Result<grenad::Reader<File>>,
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indexer: GrenadParameters,
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lmdb_writer_sx: Sender<Result<TypedChunk>>,
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vectors_field_id: Option<FieldId>,
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primary_key_id: FieldId,
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) -> Result<()> {
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let original_documents_chunk =
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original_documents_chunk.and_then(|c| unsafe { as_cloneable_grenad(&c) })?;
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if let Some(vectors_field_id) = vectors_field_id {
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let documents_chunk_cloned = original_documents_chunk.clone();
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let lmdb_writer_sx_cloned = lmdb_writer_sx.clone();
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rayon::spawn(move || {
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let result = extract_vector_points(
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documents_chunk_cloned,
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indexer,
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primary_key_id,
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vectors_field_id,
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);
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let _ = match result {
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Ok(vector_points) => {
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lmdb_writer_sx_cloned.send(Ok(TypedChunk::VectorPoints(vector_points)))
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}
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Err(error) => lmdb_writer_sx_cloned.send(Err(error)),
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};
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});
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}
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// TODO: create a custom internal error
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lmdb_writer_sx.send(Ok(TypedChunk::Documents(original_documents_chunk))).unwrap();
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Ok(())
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@ -283,7 +310,6 @@ fn send_and_extract_flattened_documents_data(
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faceted_fields: &HashSet<FieldId>,
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primary_key_id: FieldId,
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geo_fields_ids: Option<(FieldId, FieldId)>,
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vectors_field_id: Option<FieldId>,
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stop_words: &Option<fst::Set<&[u8]>>,
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max_positions_per_attributes: Option<u32>,
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) -> Result<(
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@ -312,25 +338,6 @@ fn send_and_extract_flattened_documents_data(
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});
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}
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if let Some(vectors_field_id) = vectors_field_id {
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let documents_chunk_cloned = flattened_documents_chunk.clone();
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let lmdb_writer_sx_cloned = lmdb_writer_sx.clone();
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rayon::spawn(move || {
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let result = extract_vector_points(
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documents_chunk_cloned,
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indexer,
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primary_key_id,
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vectors_field_id,
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);
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let _ = match result {
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Ok(vector_points) => {
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lmdb_writer_sx_cloned.send(Ok(TypedChunk::VectorPoints(vector_points)))
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}
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Err(error) => lmdb_writer_sx_cloned.send(Err(error)),
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};
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});
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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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@ -2519,6 +2519,25 @@ mod tests {
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db_snap!(index, word_position_docids, 3, @"74f556b91d161d997a89468b4da1cb8f");
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}
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/// Index multiple different number of vectors in documents.
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/// Vectors must be of the same length.
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#[test]
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fn test_multiple_vectors() {
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let index = TempIndex::new();
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index.add_documents(documents!([{"id": 0, "_vectors": [[0, 1, 2], [3, 4, 5]] }])).unwrap();
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index.add_documents(documents!([{"id": 1, "_vectors": [6, 7, 8] }])).unwrap();
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index
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.add_documents(
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documents!([{"id": 2, "_vectors": [[9, 10, 11], [12, 13, 14], [15, 16, 17]] }]),
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)
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.unwrap();
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let rtxn = index.read_txn().unwrap();
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let res = index.search(&rtxn).vector([0.0, 1.0, 2.0]).execute().unwrap();
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assert_eq!(res.documents_ids.len(), 3);
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}
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#[test]
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fn reproduce_the_bug() {
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/*
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