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cb44e630a6
Author | SHA1 | Date | |
---|---|---|---|
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cb44e630a6 |
@ -39,7 +39,7 @@ use meilisearch_types::milli::update::{IndexDocumentsMethod, Settings as MilliSe
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use meilisearch_types::milli::vector::parsed_vectors::{
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ExplicitVectors, VectorOrArrayOfVectors, RESERVED_VECTORS_FIELD_NAME,
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};
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use meilisearch_types::milli::{self, Filter, ThreadPoolNoAbort, ThreadPoolNoAbortBuilder};
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use meilisearch_types::milli::{self, Filter};
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use meilisearch_types::settings::{apply_settings_to_builder, Settings, Unchecked};
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use meilisearch_types::tasks::{Details, IndexSwap, Kind, KindWithContent, Status, Task};
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use meilisearch_types::{compression, Index, VERSION_FILE_NAME};
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@ -1277,6 +1277,7 @@ impl IndexScheduler {
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operations,
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mut tasks,
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} => {
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let indexer_config = self.index_mapper.indexer_config();
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// TODO: at some point, for better efficiency we might want to reuse the bumpalo for successive batches.
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// this is made difficult by the fact we're doing private clones of the index scheduler and sending it
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// to a fresh thread.
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@ -1385,16 +1386,10 @@ impl IndexScheduler {
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}
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if tasks.iter().any(|res| res.error.is_none()) {
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let local_pool;
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let pool = match &self.index_mapper.indexer_config().thread_pool {
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Some(pool) => pool,
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None => {
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local_pool = ThreadPoolNoAbortBuilder::new().build().unwrap();
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&local_pool
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}
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};
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/// TODO create a pool if needed
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// let pool = indexer_config.thread_pool.unwrap();
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let pool = rayon::ThreadPoolBuilder::new().build().unwrap();
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// TODO we want to multithread this
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let document_changes = indexer.into_changes(
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&indexer_alloc,
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index,
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@ -1403,20 +1398,18 @@ impl IndexScheduler {
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&mut new_fields_ids_map,
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)?;
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pool.install(|| {
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indexer::index(
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index_wtxn,
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index,
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&db_fields_ids_map,
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new_fields_ids_map,
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primary_key_has_been_set.then_some(primary_key),
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&document_changes,
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embedders,
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&|| must_stop_processing.get(),
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&send_progress,
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)
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})
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.unwrap()?;
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indexer::index(
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index_wtxn,
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index,
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&db_fields_ids_map,
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new_fields_ids_map,
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primary_key_has_been_set.then_some(primary_key),
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&pool,
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&document_changes,
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embedders,
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&|| must_stop_processing.get(),
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&send_progress,
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)?;
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// tracing::info!(indexing_result = ?addition, processed_in = ?started_processing_at.elapsed(), "document indexing done");
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}
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@ -1496,37 +1489,27 @@ impl IndexScheduler {
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let result_count = Ok((candidates.len(), candidates.len())) as Result<_>;
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if task.error.is_none() {
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let local_pool;
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let pool = match &self.index_mapper.indexer_config().thread_pool {
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Some(pool) => pool,
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None => {
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local_pool = ThreadPoolNoAbortBuilder::new().build().unwrap();
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&local_pool
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}
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};
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/// TODO create a pool if needed
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// let pool = indexer_config.thread_pool.unwrap();
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let pool = rayon::ThreadPoolBuilder::new().build().unwrap();
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pool.install(|| {
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let indexer =
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UpdateByFunction::new(candidates, context.clone(), code.clone());
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let document_changes = indexer.into_changes(&primary_key)?;
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let embedders = index.embedding_configs(index_wtxn)?;
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let embedders = self.embedders(embedders)?;
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let indexer = UpdateByFunction::new(candidates, context.clone(), code.clone());
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let document_changes = indexer.into_changes(&primary_key)?;
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let embedders = index.embedding_configs(index_wtxn)?;
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let embedders = self.embedders(embedders)?;
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indexer::index(
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index_wtxn,
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index,
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&db_fields_ids_map,
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new_fields_ids_map,
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None, // cannot change primary key in DocumentEdition
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&document_changes,
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embedders,
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&|| must_stop_processing.get(),
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&send_progress,
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)?;
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Result::Ok(())
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})
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.unwrap()?;
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indexer::index(
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index_wtxn,
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index,
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&db_fields_ids_map,
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new_fields_ids_map,
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None, // cannot change primary key in DocumentEdition
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&pool,
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&document_changes,
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embedders,
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&|| must_stop_processing.get(),
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&send_progress,
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)?;
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// tracing::info!(indexing_result = ?addition, processed_in = ?started_processing_at.elapsed(), "document indexing done");
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}
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@ -1646,14 +1629,9 @@ impl IndexScheduler {
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.map_err(milli::Error::from)?;
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if !tasks.iter().all(|res| res.error.is_some()) {
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let local_pool;
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let pool = match &self.index_mapper.indexer_config().thread_pool {
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Some(pool) => pool,
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None => {
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local_pool = ThreadPoolNoAbortBuilder::new().build().unwrap();
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&local_pool
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}
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};
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/// TODO create a pool if needed
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// let pool = indexer_config.thread_pool.unwrap();
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let pool = rayon::ThreadPoolBuilder::new().build().unwrap();
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let mut indexer = indexer::DocumentDeletion::new();
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indexer.delete_documents_by_docids(to_delete);
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@ -1661,20 +1639,18 @@ impl IndexScheduler {
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let embedders = index.embedding_configs(index_wtxn)?;
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let embedders = self.embedders(embedders)?;
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pool.install(|| {
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indexer::index(
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index_wtxn,
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index,
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&db_fields_ids_map,
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new_fields_ids_map,
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None, // document deletion never changes primary key
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&document_changes,
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embedders,
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&|| must_stop_processing.get(),
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&send_progress,
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)
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})
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.unwrap()?;
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indexer::index(
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index_wtxn,
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index,
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&db_fields_ids_map,
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new_fields_ids_map,
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None, // document deletion never changes primary key
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&pool,
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&document_changes,
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embedders,
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&|| must_stop_processing.get(),
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&send_progress,
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)?;
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// tracing::info!(indexing_result = ?addition, processed_in = ?started_processing_at.elapsed(), "document indexing done");
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}
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@ -3,9 +3,6 @@ mod r#match;
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mod matching_words;
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mod simple_token_kind;
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use std::borrow::Cow;
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use std::cmp::{max, min};
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use charabia::{Language, SeparatorKind, Token, Tokenizer};
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use either::Either;
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pub use matching_words::MatchingWords;
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@ -13,6 +10,10 @@ use matching_words::{MatchType, PartialMatch};
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use r#match::{Match, MatchPosition};
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use serde::Serialize;
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use simple_token_kind::SimpleTokenKind;
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use std::{
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borrow::Cow,
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cmp::{max, min},
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};
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const DEFAULT_CROP_MARKER: &str = "…";
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const DEFAULT_HIGHLIGHT_PREFIX: &str = "<em>";
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|
@ -366,14 +366,14 @@ pub struct FieldIdDocidFacetSender<'a>(&'a ExtractorSender);
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impl FieldIdDocidFacetSender<'_> {
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pub fn write_facet_string(&self, key: &[u8], value: &[u8]) -> StdResult<(), SendError<()>> {
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debug_assert!(FieldDocIdFacetStringCodec::bytes_decode(key).is_ok());
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let entry = EntryOperation::Write(KeyValueEntry::from_small_key_value(key, value));
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let entry = EntryOperation::Write(KeyValueEntry::from_small_key_value(&key, &value));
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self.0
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.send_db_operation(DbOperation { database: Database::FieldIdDocidFacetStrings, entry })
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}
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pub fn write_facet_f64(&self, key: &[u8]) -> StdResult<(), SendError<()>> {
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debug_assert!(FieldDocIdFacetF64Codec::bytes_decode(key).is_ok());
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let entry = EntryOperation::Write(KeyValueEntry::from_small_key_value(key, &[]));
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let entry = EntryOperation::Write(KeyValueEntry::from_small_key_value(&key, &[]));
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self.0.send_db_operation(DbOperation { database: Database::FieldIdDocidFacetF64s, entry })
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}
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|
@ -58,8 +58,7 @@ impl<'a, 'extractor> Extractor<'extractor> for DocumentsExtractor<'a> {
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context.index,
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&context.db_fields_ids_map,
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)?;
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let geo_iter =
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content.geo_field().transpose().map(|res| res.map(|rv| ("_geo", rv)));
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let geo_iter = content.geo_field().transpose().map(|res| res.map(|rv| ("_geo", rv)));
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for res in content.iter_top_level_fields().chain(geo_iter) {
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let (f, _) = res?;
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let entry = document_extractor_data
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@ -75,8 +74,7 @@ impl<'a, 'extractor> Extractor<'extractor> for DocumentsExtractor<'a> {
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let docid = update.docid();
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let content =
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update.current(&context.rtxn, context.index, &context.db_fields_ids_map)?;
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let geo_iter =
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content.geo_field().transpose().map(|res| res.map(|rv| ("_geo", rv)));
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let geo_iter = content.geo_field().transpose().map(|res| res.map(|rv| ("_geo", rv)));
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for res in content.iter_top_level_fields().chain(geo_iter) {
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let (f, _) = res?;
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let entry = document_extractor_data
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@ -86,8 +84,7 @@ impl<'a, 'extractor> Extractor<'extractor> for DocumentsExtractor<'a> {
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*entry -= 1;
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}
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let content = update.updated();
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let geo_iter =
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content.geo_field().transpose().map(|res| res.map(|rv| ("_geo", rv)));
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let geo_iter = content.geo_field().transpose().map(|res| res.map(|rv| ("_geo", rv)));
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for res in content.iter_top_level_fields().chain(geo_iter) {
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let (f, _) = res?;
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let entry = document_extractor_data
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@ -117,8 +114,7 @@ impl<'a, 'extractor> Extractor<'extractor> for DocumentsExtractor<'a> {
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DocumentChange::Insertion(insertion) => {
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let docid = insertion.docid();
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let content = insertion.inserted();
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let geo_iter =
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content.geo_field().transpose().map(|res| res.map(|rv| ("_geo", rv)));
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let geo_iter = content.geo_field().transpose().map(|res| res.map(|rv| ("_geo", rv)));
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for res in content.iter_top_level_fields().chain(geo_iter) {
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let (f, _) = res?;
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let entry = document_extractor_data
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|
@ -3,6 +3,7 @@ use std::collections::HashMap;
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use charabia::{SeparatorKind, Token, TokenKind, Tokenizer, TokenizerBuilder};
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use serde_json::Value;
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use crate::proximity::MAX_DISTANCE;
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use crate::update::new::document::Document;
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use crate::update::new::extract::perm_json_p::{
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seek_leaf_values_in_array, seek_leaf_values_in_object, select_field,
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@ -12,9 +13,6 @@ use crate::{
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MAX_WORD_LENGTH,
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};
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// todo: should be crate::proximity::MAX_DISTANCE but it has been forgotten
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const MAX_DISTANCE: u32 = 8;
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pub struct DocumentTokenizer<'a> {
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pub tokenizer: &'a Tokenizer<'a>,
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pub attribute_to_extract: Option<&'a [&'a str]>,
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@ -253,22 +251,22 @@ mod test {
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]: "doggo",
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[
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2,
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8,
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MAX_DISTANCE,
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]: "doggo",
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[
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2,
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16,
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]: "catto",
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[
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5,
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3,
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0,
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]: "10",
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[
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6,
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4,
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0,
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]: "pesti",
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[
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7,
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5,
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0,
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]: "23",
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}
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|
@ -6,9 +6,11 @@ use grenad::Sorter;
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use heed::types::{Bytes, SerdeJson};
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use heed::{BytesDecode, BytesEncode, RoTxn, RwTxn};
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use super::extract::FacetKind;
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use super::fst_merger_builder::FstMergerBuilder;
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use super::KvReaderDelAdd;
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use crate::heed_codec::facet::FacetGroupKey;
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use crate::heed_codec::facet::{FacetGroupKey, FacetGroupKeyCodec};
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use crate::heed_codec::StrRefCodec;
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use crate::update::del_add::{DelAdd, KvWriterDelAdd};
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use crate::update::{create_sorter, MergeDeladdBtreesetString};
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use crate::{
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|
@ -1,12 +1,10 @@
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use std::fs::File;
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use std::io::BufWriter;
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use std::{fs::File, io::BufWriter};
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use fst::{Set, SetBuilder, Streamer};
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use memmap2::Mmap;
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use tempfile::tempfile;
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use crate::update::del_add::DelAdd;
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use crate::{InternalError, Result};
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use crate::{update::del_add::DelAdd, InternalError, Result};
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pub struct FstMergerBuilder<'a> {
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stream: Option<fst::set::Stream<'a>>,
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|
@ -132,7 +132,7 @@ mod test {
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}
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let mut deletions = DocumentDeletion::new();
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deletions.delete_documents_by_docids(Vec::<u32>::new().into_iter().collect());
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deletions.delete_documents_by_docids(vec![0, 2, 42].into_iter().collect());
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let indexer = Bump::new();
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let index = TempIndex::new();
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|
@ -356,11 +356,11 @@ impl MergeChanges for MergeDocumentForUpdates {
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let has_deletion = last_deletion.is_some();
|
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|
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if operations.is_empty() {
|
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return if is_new {
|
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Ok(None)
|
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} else {
|
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return if !is_new {
|
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let deletion = Deletion::create(docid, external_docid);
|
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Ok(Some(DocumentChange::Deletion(deletion)))
|
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} else {
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Ok(None)
|
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};
|
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}
|
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|
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|
@ -13,6 +13,7 @@ use itertools::{merge_join_by, EitherOrBoth};
|
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pub use partial_dump::PartialDump;
|
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use rand::SeedableRng as _;
|
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use raw_collections::RawMap;
|
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use rayon::ThreadPool;
|
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use time::OffsetDateTime;
|
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pub use update_by_function::UpdateByFunction;
|
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|
||||
@ -135,6 +136,7 @@ pub fn index<'pl, 'indexer, 'index, DC, MSP, SP>(
|
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db_fields_ids_map: &'indexer FieldsIdsMap,
|
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new_fields_ids_map: FieldsIdsMap,
|
||||
new_primary_key: Option<PrimaryKey<'pl>>,
|
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pool: &ThreadPool,
|
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document_changes: &DC,
|
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embedders: EmbeddingConfigs,
|
||||
must_stop_processing: &'indexer MSP,
|
||||
@ -150,9 +152,9 @@ where
|
||||
let metadata_builder = MetadataBuilder::from_index(index, wtxn)?;
|
||||
let new_fields_ids_map = FieldIdMapWithMetadata::new(new_fields_ids_map, metadata_builder);
|
||||
let new_fields_ids_map = RwLock::new(new_fields_ids_map);
|
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let fields_ids_map_store = ThreadLocal::with_capacity(rayon::current_num_threads());
|
||||
let mut extractor_allocs = ThreadLocal::with_capacity(rayon::current_num_threads());
|
||||
let doc_allocs = ThreadLocal::with_capacity(rayon::current_num_threads());
|
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let fields_ids_map_store = ThreadLocal::with_capacity(pool.current_num_threads());
|
||||
let mut extractor_allocs = ThreadLocal::with_capacity(pool.current_num_threads());
|
||||
let doc_allocs = ThreadLocal::with_capacity(pool.current_num_threads());
|
||||
|
||||
let indexing_context = IndexingContext {
|
||||
index,
|
||||
@ -177,260 +179,248 @@ where
|
||||
let document_ids = &mut document_ids;
|
||||
// TODO manage the errors correctly
|
||||
let extractor_handle = Builder::new().name(S("indexer-extractors")).spawn_scoped(s, move || {
|
||||
let span = tracing::trace_span!(target: "indexing::documents", parent: &indexer_span, "extract");
|
||||
let _entered = span.enter();
|
||||
|
||||
let rtxn = index.read_txn()?;
|
||||
|
||||
// document but we need to create a function that collects and compresses documents.
|
||||
let document_sender = extractor_sender.documents();
|
||||
let document_extractor = DocumentsExtractor::new(&document_sender, embedders);
|
||||
let datastore = ThreadLocal::with_capacity(rayon::current_num_threads());
|
||||
let (finished_steps, step_name) = steps::extract_documents();
|
||||
extract(document_changes,
|
||||
&document_extractor,
|
||||
indexing_context,
|
||||
&mut extractor_allocs,
|
||||
&datastore,
|
||||
finished_steps,
|
||||
total_steps,
|
||||
step_name,
|
||||
)?;
|
||||
|
||||
for document_extractor_data in datastore {
|
||||
let document_extractor_data = document_extractor_data.0.into_inner();
|
||||
for (field, delta) in document_extractor_data.field_distribution_delta {
|
||||
let current = field_distribution.entry(field).or_default();
|
||||
// adding the delta should never cause a negative result, as we are removing fields that previously existed.
|
||||
*current = current.saturating_add_signed(delta);
|
||||
}
|
||||
document_extractor_data.docids_delta.apply_to(document_ids);
|
||||
}
|
||||
|
||||
field_distribution.retain(|_, v| *v != 0);
|
||||
|
||||
const TEN_GIB: usize = 10 * 1024 * 1024 * 1024;
|
||||
let current_num_threads = rayon::current_num_threads();
|
||||
let max_memory = TEN_GIB / current_num_threads;
|
||||
eprintln!("A maximum of {max_memory} bytes will be used for each of the {current_num_threads} threads");
|
||||
|
||||
let grenad_parameters = GrenadParameters {
|
||||
max_memory: Some(max_memory),
|
||||
..GrenadParameters::default()
|
||||
};
|
||||
|
||||
let facet_field_ids_delta;
|
||||
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "faceted");
|
||||
let result = pool.in_place_scope(|_s| {
|
||||
let span = tracing::trace_span!(target: "indexing::documents", parent: &indexer_span, "extract");
|
||||
let _entered = span.enter();
|
||||
|
||||
let (finished_steps, step_name) = steps::extract_facets();
|
||||
let rtxn = index.read_txn()?;
|
||||
|
||||
facet_field_ids_delta = merge_and_send_facet_docids(
|
||||
FacetedDocidsExtractor::run_extraction(grenad_parameters,
|
||||
// document but we need to create a function that collects and compresses documents.
|
||||
let document_sender = extractor_sender.documents();
|
||||
let document_extractor = DocumentsExtractor::new(&document_sender, embedders);
|
||||
let datastore = ThreadLocal::with_capacity(pool.current_num_threads());
|
||||
let (finished_steps, step_name) = steps::extract_documents();
|
||||
extract(document_changes, &document_extractor, indexing_context, &mut extractor_allocs, &datastore, finished_steps, total_steps, step_name)?;
|
||||
|
||||
for document_extractor_data in datastore {
|
||||
let document_extractor_data = document_extractor_data.0.into_inner();
|
||||
for (field, delta) in document_extractor_data.field_distribution_delta {
|
||||
let current = field_distribution.entry(field).or_default();
|
||||
// adding the delta should never cause a negative result, as we are removing fields that previously existed.
|
||||
*current = current.saturating_add_signed(delta);
|
||||
}
|
||||
document_extractor_data.docids_delta.apply_to(document_ids);
|
||||
}
|
||||
|
||||
field_distribution.retain(|_, v| *v != 0);
|
||||
|
||||
const TEN_GIB: usize = 10 * 1024 * 1024 * 1024;
|
||||
let current_num_threads = rayon::current_num_threads();
|
||||
let max_memory = TEN_GIB / current_num_threads;
|
||||
eprintln!("A maximum of {max_memory} bytes will be used for each of the {current_num_threads} threads");
|
||||
|
||||
let grenad_parameters = GrenadParameters {
|
||||
max_memory: Some(max_memory),
|
||||
..GrenadParameters::default()
|
||||
};
|
||||
|
||||
let facet_field_ids_delta;
|
||||
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "faceted");
|
||||
let _entered = span.enter();
|
||||
|
||||
let (finished_steps, step_name) = steps::extract_facets();
|
||||
|
||||
facet_field_ids_delta = merge_and_send_facet_docids(
|
||||
FacetedDocidsExtractor::run_extraction(grenad_parameters, document_changes, indexing_context, &mut extractor_allocs, &extractor_sender.field_id_docid_facet_sender(), finished_steps, total_steps, step_name)?,
|
||||
FacetDatabases::new(index),
|
||||
index,
|
||||
extractor_sender.facet_docids(),
|
||||
)?;
|
||||
}
|
||||
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "word_docids");
|
||||
let _entered = span.enter();
|
||||
let (finished_steps, step_name) = steps::extract_words();
|
||||
|
||||
let WordDocidsCaches {
|
||||
word_docids,
|
||||
word_fid_docids,
|
||||
exact_word_docids,
|
||||
word_position_docids,
|
||||
fid_word_count_docids,
|
||||
} = WordDocidsExtractors::run_extraction(
|
||||
grenad_parameters,
|
||||
document_changes,
|
||||
indexing_context,
|
||||
&mut extractor_allocs,
|
||||
&extractor_sender.field_id_docid_facet_sender(),
|
||||
finished_steps,
|
||||
total_steps,
|
||||
step_name,
|
||||
)?,
|
||||
FacetDatabases::new(index),
|
||||
index,
|
||||
extractor_sender.facet_docids(),
|
||||
)?;
|
||||
}
|
||||
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "word_docids");
|
||||
let _entered = span.enter();
|
||||
let (finished_steps, step_name) = steps::extract_words();
|
||||
|
||||
let WordDocidsCaches {
|
||||
word_docids,
|
||||
word_fid_docids,
|
||||
exact_word_docids,
|
||||
word_position_docids,
|
||||
fid_word_count_docids,
|
||||
} = WordDocidsExtractors::run_extraction(
|
||||
grenad_parameters,
|
||||
document_changes,
|
||||
indexing_context,
|
||||
&mut extractor_allocs,
|
||||
finished_steps,
|
||||
total_steps,
|
||||
step_name,
|
||||
)?;
|
||||
|
||||
// TODO Word Docids Merger
|
||||
// extractor_sender.send_searchable::<WordDocids>(word_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "word_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
word_docids,
|
||||
index.word_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<WordDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
|
||||
// Word Fid Docids Merging
|
||||
// extractor_sender.send_searchable::<WordFidDocids>(word_fid_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "word_fid_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
word_fid_docids,
|
||||
index.word_fid_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<WordFidDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
// TODO Word Docids Merger
|
||||
// extractor_sender.send_searchable::<WordDocids>(word_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "word_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
word_docids,
|
||||
index.word_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<WordDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
|
||||
// Exact Word Docids Merging
|
||||
// extractor_sender.send_searchable::<ExactWordDocids>(exact_word_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "exact_word_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
exact_word_docids,
|
||||
index.exact_word_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<ExactWordDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
// Word Fid Docids Merging
|
||||
// extractor_sender.send_searchable::<WordFidDocids>(word_fid_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "word_fid_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
word_fid_docids,
|
||||
index.word_fid_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<WordFidDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
|
||||
// Word Position Docids Merging
|
||||
// extractor_sender.send_searchable::<WordPositionDocids>(word_position_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "word_position_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
word_position_docids,
|
||||
index.word_position_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<WordPositionDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
// Exact Word Docids Merging
|
||||
// extractor_sender.send_searchable::<ExactWordDocids>(exact_word_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "exact_word_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
exact_word_docids,
|
||||
index.exact_word_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<ExactWordDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
|
||||
// Fid Word Count Docids Merging
|
||||
// extractor_sender.send_searchable::<FidWordCountDocids>(fid_word_count_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "fid_word_count_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
fid_word_count_docids,
|
||||
index.field_id_word_count_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<FidWordCountDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
// Word Position Docids Merging
|
||||
// extractor_sender.send_searchable::<WordPositionDocids>(word_position_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "word_position_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
word_position_docids,
|
||||
index.word_position_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<WordPositionDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
|
||||
// run the proximity extraction only if the precision is by word
|
||||
// this works only if the settings didn't change during this transaction.
|
||||
let proximity_precision = index.proximity_precision(&rtxn)?.unwrap_or_default();
|
||||
if proximity_precision == ProximityPrecision::ByWord {
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "word_pair_proximity_docids");
|
||||
let _entered = span.enter();
|
||||
|
||||
let (finished_steps, step_name) = steps::extract_word_proximity();
|
||||
|
||||
let caches = <WordPairProximityDocidsExtractor as DocidsExtractor>::run_extraction(grenad_parameters,
|
||||
document_changes,
|
||||
indexing_context,
|
||||
&mut extractor_allocs,
|
||||
finished_steps,
|
||||
total_steps,
|
||||
step_name,
|
||||
)?;
|
||||
|
||||
merge_and_send_docids(
|
||||
caches,
|
||||
index.word_pair_proximity_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<WordPairProximityDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
|
||||
'vectors: {
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "vectors");
|
||||
let _entered = span.enter();
|
||||
|
||||
let mut index_embeddings = index.embedding_configs(&rtxn)?;
|
||||
if index_embeddings.is_empty() {
|
||||
break 'vectors;
|
||||
}
|
||||
|
||||
let embedding_sender = extractor_sender.embeddings();
|
||||
let extractor = EmbeddingExtractor::new(embedders, &embedding_sender, field_distribution, request_threads());
|
||||
let mut datastore = ThreadLocal::with_capacity(rayon::current_num_threads());
|
||||
let (finished_steps, step_name) = steps::extract_embeddings();
|
||||
extract(document_changes, &extractor, indexing_context, &mut extractor_allocs, &datastore, finished_steps, total_steps, step_name)?;
|
||||
|
||||
for config in &mut index_embeddings {
|
||||
'data: for data in datastore.iter_mut() {
|
||||
let data = &mut data.get_mut().0;
|
||||
let Some(deladd) = data.remove(&config.name) else { continue 'data; };
|
||||
deladd.apply_to(&mut config.user_provided);
|
||||
// Fid Word Count Docids Merging
|
||||
// extractor_sender.send_searchable::<FidWordCountDocids>(fid_word_count_docids).unwrap();
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::merge", "fid_word_count_docids");
|
||||
let _entered = span.enter();
|
||||
merge_and_send_docids(
|
||||
fid_word_count_docids,
|
||||
index.field_id_word_count_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<FidWordCountDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
|
||||
embedding_sender.finish(index_embeddings).unwrap();
|
||||
}
|
||||
// run the proximity extraction only if the precision is by word
|
||||
// this works only if the settings didn't change during this transaction.
|
||||
let proximity_precision = index.proximity_precision(&rtxn)?.unwrap_or_default();
|
||||
if proximity_precision == ProximityPrecision::ByWord {
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "word_pair_proximity_docids");
|
||||
let _entered = span.enter();
|
||||
|
||||
'geo: {
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "geo");
|
||||
let _entered = span.enter();
|
||||
let (finished_steps, step_name) = steps::extract_word_proximity();
|
||||
|
||||
// let geo_sender = extractor_sender.geo_points();
|
||||
let Some(extractor) = GeoExtractor::new(&rtxn, index, grenad_parameters)? else {
|
||||
break 'geo;
|
||||
};
|
||||
let datastore = ThreadLocal::with_capacity(rayon::current_num_threads());
|
||||
let (finished_steps, step_name) = steps::extract_geo_points();
|
||||
extract(document_changes,
|
||||
&extractor,
|
||||
indexing_context,
|
||||
&mut extractor_allocs,
|
||||
&datastore,
|
||||
finished_steps,
|
||||
total_steps,
|
||||
step_name,
|
||||
)?;
|
||||
let caches = <WordPairProximityDocidsExtractor as DocidsExtractor>::run_extraction(grenad_parameters,
|
||||
document_changes,
|
||||
indexing_context,
|
||||
&mut extractor_allocs,
|
||||
finished_steps,
|
||||
total_steps,
|
||||
step_name,
|
||||
)?;
|
||||
|
||||
merge_and_send_rtree(
|
||||
datastore,
|
||||
&rtxn,
|
||||
index,
|
||||
extractor_sender.geo(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
merge_and_send_docids(
|
||||
caches,
|
||||
index.word_pair_proximity_docids.remap_types(),
|
||||
index,
|
||||
extractor_sender.docids::<WordPairProximityDocids>(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
|
||||
// TODO THIS IS TOO MUCH
|
||||
// - [ ] Extract fieldid docid facet number
|
||||
// - [ ] Extract fieldid docid facet string
|
||||
// - [ ] Extract facetid string fst
|
||||
// - [ ] Extract facetid normalized string strings
|
||||
'vectors: {
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "vectors");
|
||||
let _entered = span.enter();
|
||||
|
||||
// TODO Inverted Indexes again
|
||||
// - [x] Extract fieldid facet isempty docids
|
||||
// - [x] Extract fieldid facet isnull docids
|
||||
// - [x] Extract fieldid facet exists docids
|
||||
let mut index_embeddings = index.embedding_configs(&rtxn)?;
|
||||
if index_embeddings.is_empty() {
|
||||
break 'vectors;
|
||||
}
|
||||
|
||||
// TODO This is the normal system
|
||||
// - [x] Extract fieldid facet number docids
|
||||
// - [x] Extract fieldid facet string docids
|
||||
let embedding_sender = extractor_sender.embeddings();
|
||||
let extractor = EmbeddingExtractor::new(embedders, &embedding_sender, field_distribution, request_threads());
|
||||
let mut datastore = ThreadLocal::with_capacity(pool.current_num_threads());
|
||||
let (finished_steps, step_name) = steps::extract_embeddings();
|
||||
extract(document_changes, &extractor, indexing_context, &mut extractor_allocs, &datastore, finished_steps, total_steps, step_name)?;
|
||||
|
||||
for config in &mut index_embeddings {
|
||||
'data: for data in datastore.iter_mut() {
|
||||
let data = &mut data.get_mut().0;
|
||||
let Some(deladd) = data.remove(&config.name) else { continue 'data; };
|
||||
deladd.apply_to(&mut config.user_provided);
|
||||
}
|
||||
}
|
||||
|
||||
embedding_sender.finish(index_embeddings).unwrap();
|
||||
}
|
||||
|
||||
'geo: {
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "geo");
|
||||
let _entered = span.enter();
|
||||
|
||||
// let geo_sender = extractor_sender.geo_points();
|
||||
let Some(extractor) = GeoExtractor::new(&rtxn, index, grenad_parameters)? else {
|
||||
break 'geo;
|
||||
};
|
||||
let datastore = ThreadLocal::with_capacity(pool.current_num_threads());
|
||||
let (finished_steps, step_name) = steps::extract_geo_points();
|
||||
extract(document_changes,
|
||||
&extractor,
|
||||
indexing_context,
|
||||
&mut extractor_allocs,
|
||||
&datastore,
|
||||
finished_steps,
|
||||
total_steps,
|
||||
step_name,
|
||||
)?;
|
||||
|
||||
merge_and_send_rtree(
|
||||
datastore,
|
||||
&rtxn,
|
||||
index,
|
||||
extractor_sender.geo(),
|
||||
&indexing_context.must_stop_processing,
|
||||
)?;
|
||||
}
|
||||
|
||||
// TODO THIS IS TOO MUCH
|
||||
// - [ ] Extract fieldid docid facet number
|
||||
// - [ ] Extract fieldid docid facet string
|
||||
// - [ ] Extract facetid string fst
|
||||
// - [ ] Extract facetid normalized string strings
|
||||
|
||||
// TODO Inverted Indexes again
|
||||
// - [x] Extract fieldid facet isempty docids
|
||||
// - [x] Extract fieldid facet isnull docids
|
||||
// - [x] Extract fieldid facet exists docids
|
||||
|
||||
// TODO This is the normal system
|
||||
// - [x] Extract fieldid facet number docids
|
||||
// - [x] Extract fieldid facet string docids
|
||||
|
||||
Result::Ok(facet_field_ids_delta)
|
||||
});
|
||||
|
||||
{
|
||||
let span = tracing::trace_span!(target: "indexing::documents::extract", "FINISH");
|
||||
@ -439,7 +429,7 @@ where
|
||||
(indexing_context.send_progress)(Progress { finished_steps, total_steps, step_name, finished_total_documents: None });
|
||||
}
|
||||
|
||||
Result::Ok(facet_field_ids_delta)
|
||||
result
|
||||
})?;
|
||||
|
||||
let global_fields_ids_map = GlobalFieldsIdsMap::new(&new_fields_ids_map);
|
||||
|
@ -1,4 +1,5 @@
|
||||
use std::cell::RefCell;
|
||||
use std::io;
|
||||
|
||||
use hashbrown::HashSet;
|
||||
use heed::types::Bytes;
|
||||
|
@ -286,7 +286,7 @@ impl<'doc> MergedVectorDocument<'doc> {
|
||||
) -> Result<Option<Self>> {
|
||||
let db = VectorDocumentFromDb::new(docid, index, rtxn, db_fields_ids_map, doc_alloc)?;
|
||||
let new_doc =
|
||||
VectorDocumentFromVersions::new(external_document_id, versions, doc_alloc, embedders)?;
|
||||
VectorDocumentFromVersions::new(&external_document_id, versions, doc_alloc, embedders)?;
|
||||
Ok(if db.is_none() && new_doc.is_none() { None } else { Some(Self { new_doc, db }) })
|
||||
}
|
||||
|
||||
|
@ -1,14 +1,13 @@
|
||||
use std::collections::HashSet;
|
||||
use std::io::BufWriter;
|
||||
|
||||
use fst::{Set, SetBuilder, Streamer};
|
||||
use memmap2::Mmap;
|
||||
use std::collections::HashSet;
|
||||
use tempfile::tempfile;
|
||||
|
||||
use crate::{index::PrefixSettings, update::del_add::DelAdd, InternalError, Prefix, Result};
|
||||
|
||||
use super::fst_merger_builder::FstMergerBuilder;
|
||||
use crate::index::PrefixSettings;
|
||||
use crate::update::del_add::DelAdd;
|
||||
use crate::{InternalError, Prefix, Result};
|
||||
|
||||
pub struct WordFstBuilder<'a> {
|
||||
word_fst_builder: FstMergerBuilder<'a>,
|
||||
|
Loading…
Reference in New Issue
Block a user