mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-28 15:31:38 +01:00
Add more precise spans
This commit is contained in:
parent
5560452ef9
commit
aa460819a7
@ -109,55 +109,71 @@ where
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let rtxn = index.read_txn()?;
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// document but we need to create a function that collects and compresses documents.
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let document_sender = extractor_sender.documents();
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let document_extractor = DocumentsExtractor::new(&document_sender, embedders);
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let datastore = ThreadLocal::with_capacity(rayon::current_num_threads());
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extract(document_changes,
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&document_extractor,
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indexing_context,
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&mut extractor_allocs,
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&datastore,
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Step::ExtractingDocuments,
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)?;
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for document_extractor_data in datastore {
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let document_extractor_data = document_extractor_data.0.into_inner();
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for (field, delta) in document_extractor_data.field_distribution_delta {
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let current = field_distribution.entry(field).or_default();
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// adding the delta should never cause a negative result, as we are removing fields that previously existed.
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*current = current.saturating_add_signed(delta);
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}
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document_extractor_data.docids_delta.apply_to(document_ids);
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{
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let span = tracing::trace_span!(target: "indexing::documents::extract", parent: &indexer_span, "documents");
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let _entered = span.enter();
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extract(document_changes,
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&document_extractor,
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indexing_context,
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&mut extractor_allocs,
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&datastore,
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Step::ExtractingDocuments,
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)?;
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}
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", parent: &indexer_span, "documents");
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let _entered = span.enter();
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for document_extractor_data in datastore {
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let document_extractor_data = document_extractor_data.0.into_inner();
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for (field, delta) in document_extractor_data.field_distribution_delta {
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let current = field_distribution.entry(field).or_default();
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// adding the delta should never cause a negative result, as we are removing fields that previously existed.
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*current = current.saturating_add_signed(delta);
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}
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document_extractor_data.docids_delta.apply_to(document_ids);
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}
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field_distribution.retain(|_, v| *v != 0);
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field_distribution.retain(|_, v| *v != 0);
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}
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let facet_field_ids_delta;
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{
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let span = tracing::trace_span!(target: "indexing::documents::extract", "faceted");
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let _entered = span.enter();
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let caches = {
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let span = tracing::trace_span!(target: "indexing::documents::extract", parent: &indexer_span, "faceted");
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let _entered = span.enter();
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facet_field_ids_delta = merge_and_send_facet_docids(
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FacetedDocidsExtractor::run_extraction(
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grenad_parameters,
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document_changes,
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indexing_context,
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&mut extractor_allocs,
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&extractor_sender.field_id_docid_facet_sender(),
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Step::ExtractingFacets
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)?,
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FacetDatabases::new(index),
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index,
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extractor_sender.facet_docids(),
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)?;
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grenad_parameters,
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document_changes,
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indexing_context,
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&mut extractor_allocs,
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&extractor_sender.field_id_docid_facet_sender(),
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Step::ExtractingFacets
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)?
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};
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", parent: &indexer_span, "faceted");
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let _entered = span.enter();
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facet_field_ids_delta = merge_and_send_facet_docids(
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caches,
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FacetDatabases::new(index),
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index,
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extractor_sender.facet_docids(),
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)?;
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}
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}
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{
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let span = tracing::trace_span!(target: "indexing::documents::extract", "word_docids");
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let _entered = span.enter();
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let WordDocidsCaches {
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@ -166,15 +182,19 @@ where
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exact_word_docids,
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word_position_docids,
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fid_word_count_docids,
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} = WordDocidsExtractors::run_extraction(
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grenad_parameters,
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document_changes,
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indexing_context,
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&mut extractor_allocs,
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Step::ExtractingWords
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)?;
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} = {
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let span = tracing::trace_span!(target: "indexing::documents::extract", "word_docids");
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let _entered = span.enter();
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WordDocidsExtractors::run_extraction(
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grenad_parameters,
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document_changes,
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indexing_context,
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&mut extractor_allocs,
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Step::ExtractingWords
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)?
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};
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// TODO Word Docids Merger
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", "word_docids");
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let _entered = span.enter();
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@ -187,7 +207,6 @@ where
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)?;
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}
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// Word Fid Docids Merging
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", "word_fid_docids");
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let _entered = span.enter();
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@ -200,7 +219,6 @@ where
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)?;
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}
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// Exact Word Docids Merging
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", "exact_word_docids");
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let _entered = span.enter();
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@ -213,7 +231,6 @@ where
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)?;
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}
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// Word Position Docids Merging
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", "word_position_docids");
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let _entered = span.enter();
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@ -226,7 +243,6 @@ where
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)?;
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}
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// Fid Word Count Docids Merging
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", "fid_word_count_docids");
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let _entered = span.enter();
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@ -244,30 +260,34 @@ where
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// this works only if the settings didn't change during this transaction.
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let proximity_precision = index.proximity_precision(&rtxn)?.unwrap_or_default();
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if proximity_precision == ProximityPrecision::ByWord {
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let span = tracing::trace_span!(target: "indexing::documents::extract", "word_pair_proximity_docids");
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let _entered = span.enter();
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let caches = {
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let span = tracing::trace_span!(target: "indexing::documents::extract", "word_pair_proximity_docids");
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let _entered = span.enter();
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<WordPairProximityDocidsExtractor as DocidsExtractor>::run_extraction(
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grenad_parameters,
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document_changes,
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indexing_context,
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&mut extractor_allocs,
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Step::ExtractingWordProximity,
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)?
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};
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let caches = <WordPairProximityDocidsExtractor as DocidsExtractor>::run_extraction(
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grenad_parameters,
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document_changes,
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indexing_context,
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&mut extractor_allocs,
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Step::ExtractingWordProximity,
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)?;
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", "word_pair_proximity_docids");
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let _entered = span.enter();
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merge_and_send_docids(
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caches,
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index.word_pair_proximity_docids.remap_types(),
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index,
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extractor_sender.docids::<WordPairProximityDocids>(),
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&indexing_context.must_stop_processing,
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)?;
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merge_and_send_docids(
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caches,
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index.word_pair_proximity_docids.remap_types(),
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index,
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extractor_sender.docids::<WordPairProximityDocids>(),
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&indexing_context.must_stop_processing,
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)?;
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}
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}
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'vectors: {
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let span = tracing::trace_span!(target: "indexing::documents::extract", "vectors");
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let _entered = span.enter();
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let mut index_embeddings = index.embedding_configs(&rtxn)?;
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if index_embeddings.is_empty() {
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@ -277,13 +297,22 @@ where
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let embedding_sender = extractor_sender.embeddings();
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let extractor = EmbeddingExtractor::new(embedders, &embedding_sender, field_distribution, request_threads());
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let mut datastore = ThreadLocal::with_capacity(rayon::current_num_threads());
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extract(document_changes, &extractor, indexing_context, &mut extractor_allocs, &datastore, Step::ExtractingEmbeddings)?;
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{
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let span = tracing::trace_span!(target: "indexing::documents::extract", "vectors");
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let _entered = span.enter();
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for config in &mut index_embeddings {
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'data: for data in datastore.iter_mut() {
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let data = &mut data.get_mut().0;
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let Some(deladd) = data.remove(&config.name) else { continue 'data; };
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deladd.apply_to(&mut config.user_provided);
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extract(document_changes, &extractor, indexing_context, &mut extractor_allocs, &datastore, Step::ExtractingEmbeddings)?;
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}
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{
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let span = tracing::trace_span!(target: "indexing::documents::merge", "vectors");
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let _entered = span.enter();
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for config in &mut index_embeddings {
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'data: for data in datastore.iter_mut() {
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let data = &mut data.get_mut().0;
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let Some(deladd) = data.remove(&config.name) else { continue 'data; };
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deladd.apply_to(&mut config.user_provided);
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}
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}
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}
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@ -291,21 +320,24 @@ where
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}
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'geo: {
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let span = tracing::trace_span!(target: "indexing::documents::extract", "geo");
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let _entered = span.enter();
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let Some(extractor) = GeoExtractor::new(&rtxn, index, grenad_parameters)? else {
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break 'geo;
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};
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let datastore = ThreadLocal::with_capacity(rayon::current_num_threads());
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extract(
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document_changes,
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&extractor,
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indexing_context,
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&mut extractor_allocs,
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&datastore,
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Step::WritingGeoPoints
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)?;
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{
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let span = tracing::trace_span!(target: "indexing::documents::extract", "geo");
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let _entered = span.enter();
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extract(
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document_changes,
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&extractor,
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indexing_context,
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&mut extractor_allocs,
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&datastore,
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Step::WritingGeoPoints
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)?;
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}
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merge_and_send_rtree(
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datastore,
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@ -316,11 +348,7 @@ where
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)?;
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}
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{
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let span = tracing::trace_span!(target: "indexing::documents::extract", "FINISH");
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let _entered = span.enter();
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(indexing_context.send_progress)(Progress::from_step(Step::WritingToDatabase));
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}
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(indexing_context.send_progress)(Progress::from_step(Step::WritingToDatabase));
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Result::Ok(facet_field_ids_delta)
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})?;
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@ -352,90 +380,103 @@ where
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.collect();
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let mut arroy_writers = arroy_writers?;
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for operation in writer_receiver {
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match operation {
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WriterOperation::DbOperation(db_operation) => {
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let database = db_operation.database(index);
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let database_name = db_operation.database_name();
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match db_operation.entry() {
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EntryOperation::Delete(e) => match database.delete(wtxn, e.entry()) {
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Ok(false) => unreachable!("We tried to delete an unknown key"),
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Ok(_) => (),
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Err(error) => {
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return Err(Error::InternalError(InternalError::StoreDeletion {
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database_name,
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key: e.entry().to_owned(),
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error,
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}));
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}
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},
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EntryOperation::Write(e) => {
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if let Err(error) = database.put(wtxn, e.key(), e.value()) {
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return Err(Error::InternalError(InternalError::StorePut {
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database_name,
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key: e.key().to_owned(),
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value_length: e.value().len(),
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error,
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}));
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{
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let span = tracing::trace_span!(target: "indexing::write_db", "all");
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let _entered = span.enter();
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for operation in writer_receiver {
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match operation {
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WriterOperation::DbOperation(db_operation) => {
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let database = db_operation.database(index);
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let database_name = db_operation.database_name();
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match db_operation.entry() {
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EntryOperation::Delete(e) => match database.delete(wtxn, e.entry()) {
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Ok(false) => unreachable!("We tried to delete an unknown key"),
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Ok(_) => (),
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Err(error) => {
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return Err(Error::InternalError(
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InternalError::StoreDeletion {
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database_name,
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key: e.entry().to_owned(),
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error,
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},
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));
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}
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},
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EntryOperation::Write(e) => {
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if let Err(error) = database.put(wtxn, e.key(), e.value()) {
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return Err(Error::InternalError(InternalError::StorePut {
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database_name,
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key: e.key().to_owned(),
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value_length: e.value().len(),
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error,
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}));
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}
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}
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}
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}
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WriterOperation::ArroyOperation(arroy_operation) => match arroy_operation {
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ArroyOperation::DeleteVectors { docid } => {
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for (
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_embedder_index,
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(_embedder_name, _embedder, writer, dimensions),
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) in &mut arroy_writers
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{
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let dimensions = *dimensions;
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writer.del_items(wtxn, dimensions, docid)?;
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}
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}
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ArroyOperation::SetVectors {
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docid,
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embedder_id,
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embeddings: raw_embeddings,
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} => {
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let (_, _, writer, dimensions) = arroy_writers
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.get(&embedder_id)
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.expect("requested a missing embedder");
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let mut embeddings = Embeddings::new(*dimensions);
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for embedding in raw_embeddings {
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embeddings.append(embedding).unwrap();
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}
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writer.del_items(wtxn, *dimensions, docid)?;
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writer.add_items(wtxn, docid, &embeddings)?;
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}
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ArroyOperation::SetVector { docid, embedder_id, embedding } => {
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let (_, _, writer, dimensions) = arroy_writers
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.get(&embedder_id)
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.expect("requested a missing embedder");
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writer.del_items(wtxn, *dimensions, docid)?;
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writer.add_item(wtxn, docid, &embedding)?;
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}
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ArroyOperation::Finish { configs } => {
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let span = tracing::trace_span!(target: "indexing::vectors", parent: &indexer_span, "build");
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let _entered = span.enter();
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(indexing_context.send_progress)(Progress::from_step(
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Step::WritingEmbeddingsToDatabase,
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));
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for (
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_embedder_index,
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(_embedder_name, _embedder, writer, dimensions),
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) in &mut arroy_writers
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{
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let dimensions = *dimensions;
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writer.build_and_quantize(
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wtxn,
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&mut rng,
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dimensions,
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false,
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&indexing_context.must_stop_processing,
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)?;
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}
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index.put_embedding_configs(wtxn, configs)?;
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}
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},
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}
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WriterOperation::ArroyOperation(arroy_operation) => match arroy_operation {
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ArroyOperation::DeleteVectors { docid } => {
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for (_embedder_index, (_embedder_name, _embedder, writer, dimensions)) in
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&mut arroy_writers
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{
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let dimensions = *dimensions;
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writer.del_items(wtxn, dimensions, docid)?;
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}
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}
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ArroyOperation::SetVectors {
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docid,
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embedder_id,
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embeddings: raw_embeddings,
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} => {
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let (_, _, writer, dimensions) =
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arroy_writers.get(&embedder_id).expect("requested a missing embedder");
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// TODO: switch to Embeddings
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let mut embeddings = Embeddings::new(*dimensions);
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for embedding in raw_embeddings {
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embeddings.append(embedding).unwrap();
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}
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writer.del_items(wtxn, *dimensions, docid)?;
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writer.add_items(wtxn, docid, &embeddings)?;
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}
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ArroyOperation::SetVector { docid, embedder_id, embedding } => {
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let (_, _, writer, dimensions) =
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arroy_writers.get(&embedder_id).expect("requested a missing embedder");
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writer.del_items(wtxn, *dimensions, docid)?;
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writer.add_item(wtxn, docid, &embedding)?;
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}
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ArroyOperation::Finish { configs } => {
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let span = tracing::trace_span!(target: "indexing::vectors", parent: &indexer_span, "build");
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let _entered = span.enter();
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(indexing_context.send_progress)(Progress::from_step(
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Step::WritingEmbeddingsToDatabase,
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));
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for (_embedder_index, (_embedder_name, _embedder, writer, dimensions)) in
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&mut arroy_writers
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{
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let dimensions = *dimensions;
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writer.build_and_quantize(
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wtxn,
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&mut rng,
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dimensions,
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false,
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&indexing_context.must_stop_processing,
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)?;
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}
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|
||||
index.put_embedding_configs(wtxn, configs)?;
|
||||
}
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
|
Loading…
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Reference in New Issue
Block a user