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Refactor Settings Indexing process

Browse Source 
**Changes:**
The transform structure is now relying on FieldIdMapWithMetadata and AttributePatterns to prepare
the obkv documents during a settings reindexing.
The InnerIndexSettingsDiff and InnerIndexSettings structs are now relying on FieldIdMapWithMetadata, FilterableAttributesRule and AttributePatterns to define the field and the databases that should be reindexed.
The faceted_fields_ids, localized_searchable_fields_ids and localized_faceted_fields_ids have been removed in favor of the FieldIdMapWithMetadata.
We are now relying on the FieldIdMapWithMetadata to retain vectors_fids from the facets and the searchables.

The searchable database computing is now relying on the FieldIdMapWithMetadata to know if a field is searchable and retrieve the locales.

The facet database computing is now relying on the FieldIdMapWithMetadata to compute the facet databases, the facet-search and retrieve the locales.

The facet level database computing is now relying on the FieldIdMapWithMetadata and the facet level database are cleared depending on the settings differences (clear_facet_levels_based_on_settings_diff).

The vector point extraction uses the FieldIdMapWithMetadata instead of FieldsIdsMapWithMetadata.

**Impact:**
- Dump import
- Settings update
This commit is contained in:
ManyTheFish 2025-03-03 10:32:02 +01:00
parent 286d310287
commit 659855c88e
12 changed files with 375 additions and 272 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
crates/milli/src/update/del_add.rs
View File

@ -81,6 +81,17 @@ pub enum DelAddOperation {
DeletionAndAddition,
}
impl DelAddOperation {
/// Merge two DelAddOperation enum variants.
pub fn merge(self, other: Self) -> Self {
match (self, other) {
(Self::Deletion, Self::Deletion) => Self::Deletion,
(Self::Addition, Self::Addition) => Self::Addition,
_ => Self::DeletionAndAddition,
}
}
}
/// Creates a Kv<K, Kv<DelAdd, value>> from two Kv<K, value>
///
/// putting each deletion obkv's keys under an DelAdd::Deletion

21
crates/milli/src/update/facet/bulk.rs
View File

@ -6,7 +6,7 @@ use heed::types::Bytes;
use heed::{BytesDecode, BytesEncode, Error, PutFlags, RoTxn, RwTxn};
use roaring::RoaringBitmap;
use super::{FACET_GROUP_SIZE, FACET_MIN_LEVEL_SIZE};
use super::{clear_facet_levels, FACET_GROUP_SIZE, FACET_MIN_LEVEL_SIZE};
use crate::facet::FacetType;
use crate::heed_codec::facet::{
FacetGroupKey, FacetGroupKeyCodec, FacetGroupValue, FacetGroupValueCodec,
@ -97,9 +97,7 @@ pub(crate) struct FacetsUpdateBulkInner<R: std::io::Read + std::io::Seek> {
impl<R: std::io::Read + std::io::Seek> FacetsUpdateBulkInner<R> {
pub fn update(mut self, wtxn: &mut RwTxn<'_>, field_ids: &[u16]) -> Result<()> {
self.update_level0(wtxn)?;
for &field_id in field_ids.iter() {
self.clear_levels(wtxn, field_id)?;
}
clear_facet_levels(wtxn, &self.db.remap_data_type(), field_ids)?;
for &field_id in field_ids.iter() {
let level_readers = self.compute_levels_for_field_id(field_id, wtxn)?;
@ -114,14 +112,6 @@ impl<R: std::io::Read + std::io::Seek> FacetsUpdateBulkInner<R> {
Ok(())
}
fn clear_levels(&self, wtxn: &mut heed::RwTxn<'_>, field_id: FieldId) -> Result<()> {
let left = FacetGroupKey::<&[u8]> { field_id, level: 1, left_bound: &[] };
let right = FacetGroupKey::<&[u8]> { field_id, level: u8::MAX, left_bound: &[] };
let range = left..=right;
self.db.delete_range(wtxn, &range).map(drop)?;
Ok(())
}
fn update_level0(&mut self, wtxn: &mut RwTxn<'_>) -> Result<()> {
let delta_data = match self.delta_data.take() {
Some(x) => x,
@ -365,8 +355,6 @@ impl<R: std::io::Read + std::io::Seek> FacetsUpdateBulkInner<R> {
mod tests {
use std::iter::once;
use big_s::S;
use maplit::hashset;
use roaring::RoaringBitmap;
use crate::documents::mmap_from_objects;
@ -374,7 +362,7 @@ mod tests {
use crate::heed_codec::StrRefCodec;
use crate::index::tests::TempIndex;
use crate::update::facet::test_helpers::{ordered_string, FacetIndex};
use crate::{db_snap, milli_snap};
use crate::{db_snap, milli_snap, FilterableAttributesRule};
#[test]
fn insert() {
@ -474,7 +462,8 @@ mod tests {
index
.update_settings(|settings| {
settings.set_primary_key("id".to_owned());
settings.set_filterable_fields(hashset! { S("id") });
settings
.set_filterable_fields(vec![FilterableAttributesRule::Field("id".to_string())]);
})
.unwrap();

57
crates/milli/src/update/facet/mod.rs
View File

@ -89,6 +89,7 @@ use time::OffsetDateTime;
use tracing::debug;
use self::incremental::FacetsUpdateIncremental;
use super::settings::{InnerIndexSettings, InnerIndexSettingsDiff};
use super::{FacetsUpdateBulk, MergeDeladdBtreesetString, MergeDeladdCboRoaringBitmaps};
use crate::facet::FacetType;
use crate::heed_codec::facet::{
@ -147,7 +148,11 @@ impl<'i> FacetsUpdate<'i> {
}
}
pub fn execute(self, wtxn: &mut heed::RwTxn<'_>) -> Result<()> {
pub fn execute(
self,
wtxn: &mut heed::RwTxn<'_>,
new_settings: &InnerIndexSettings,
) -> Result<()> {
if self.data_size == 0 {
return Ok(());
}
@ -156,8 +161,7 @@ impl<'i> FacetsUpdate<'i> {
// See self::comparison_bench::benchmark_facet_indexing
if self.data_size >= (self.database.len(wtxn)? / 500) {
let field_ids =
self.index.faceted_fields_ids(wtxn)?.iter().copied().collect::<Vec<_>>();
let field_ids = facet_levels_field_ids(new_settings);
let bulk_update = FacetsUpdateBulk::new(
self.index,
field_ids,
@ -291,6 +295,53 @@ fn index_facet_search(
Ok(())
}
/// Clear all the levels greater than 0 for given field ids.
pub fn clear_facet_levels<'a, I>(
wtxn: &mut heed::RwTxn<'_>,
db: &heed::Database<FacetGroupKeyCodec<BytesRefCodec>, DecodeIgnore>,
field_ids: I,
) -> Result<()>
where
I: IntoIterator<Item = &'a FieldId>,
{
for field_id in field_ids {
let field_id = *field_id;
let left = FacetGroupKey::<&[u8]> { field_id, level: 1, left_bound: &[] };
let right = FacetGroupKey::<&[u8]> { field_id, level: u8::MAX, left_bound: &[] };
let range = left..=right;
db.delete_range(wtxn, &range).map(drop)?;
}
Ok(())
}
pub fn clear_facet_levels_based_on_settings_diff(
wtxn: &mut heed::RwTxn<'_>,
index: &Index,
settings_diff: &InnerIndexSettingsDiff,
) -> Result<()> {
let new_field_ids: BTreeSet<_> = facet_levels_field_ids(&settings_diff.new);
let old_field_ids: BTreeSet<_> = facet_levels_field_ids(&settings_diff.old);
let field_ids_to_clear: Vec<_> = old_field_ids.difference(&new_field_ids).copied().collect();
clear_facet_levels(wtxn, &index.facet_id_string_docids.remap_types(), &field_ids_to_clear)?;
clear_facet_levels(wtxn, &index.facet_id_f64_docids.remap_types(), &field_ids_to_clear)?;
Ok(())
}
fn facet_levels_field_ids<B>(settings: &InnerIndexSettings) -> B
where
B: FromIterator<FieldId>,
{
settings
.fields_ids_map
.iter_id_metadata()
.filter(|(_, metadata)| {
metadata.require_facet_level_database(&settings.filterable_attributes_rules)
})
.map(|(id, _)| id)
.collect()
}
#[cfg(test)]
pub(crate) mod test_helpers {
use std::cell::Cell;

7
crates/milli/src/update/index_documents/enrich.rs
View File

@ -95,12 +95,7 @@ pub fn enrich_documents_batch<R: Read + Seek>(
// If the settings specifies that a _geo field must be used therefore we must check the
// validity of it in all the documents of this batch and this is when we return `Some`.
let geo_field_id = match documents_batch_index.id(RESERVED_GEO_FIELD_NAME) {
Some(geo_field_id)
if index.sortable_fields(rtxn)?.contains(RESERVED_GEO_FIELD_NAME)
|| index.filterable_fields(rtxn)?.contains(RESERVED_GEO_FIELD_NAME) =>
{
Some(geo_field_id)
}
Some(geo_field_id) if index.is_geo_enabled(rtxn)? => Some(geo_field_id),
_otherwise => None,
};

19
crates/milli/src/update/index_documents/extract/extract_docid_word_positions.rs
View File

@ -150,9 +150,14 @@ fn searchable_fields_changed(
obkv: &KvReader<FieldId>,
settings_diff: &InnerIndexSettingsDiff,
) -> bool {
let searchable_fields = &settings_diff.new.searchable_fields_ids;
for (field_id, field_bytes) in obkv.iter() {
if searchable_fields.contains(&field_id) {
let Some(metadata) = settings_diff.new.fields_ids_map.metadata(field_id) else {
// If the field id is not in the fields ids map, skip it.
// This happens for the vectors sub-fields. for example:
// "_vectors": { "manual": [1, 2, 3]} -> "_vectors.manual" is not registered.
continue;
};
if metadata.is_searchable() {
let del_add = KvReaderDelAdd::from_slice(field_bytes);
match (del_add.get(DelAdd::Deletion), del_add.get(DelAdd::Addition)) {
// if both fields are None, check the next field.
@ -200,8 +205,14 @@ fn tokens_from_document<'a>(
buffers.obkv_buffer.clear();
let mut document_writer = KvWriterU16::new(&mut buffers.obkv_buffer);
for (field_id, field_bytes) in obkv.iter() {
let Some(metadata) = settings.fields_ids_map.metadata(field_id) else {
// If the field id is not in the fields ids map, skip it.
// This happens for the vectors sub-fields. for example:
// "_vectors": { "manual": [1, 2, 3]} -> "_vectors.manual" is not registered.
continue;
};
// if field is searchable.
if settings.searchable_fields_ids.contains(&field_id) {
if metadata.is_searchable() {
// extract deletion or addition only.
if let Some(field_bytes) = KvReaderDelAdd::from_slice(field_bytes).get(del_add) {
// parse json.
@ -216,7 +227,7 @@ fn tokens_from_document<'a>(
buffers.field_buffer.clear();
if let Some(field) = json_to_string(&value, &mut buffers.field_buffer) {
// create an iterator of token with their positions.
let locales = settings.localized_searchable_fields_ids.locales(field_id);
let locales = metadata.locales(&settings.localized_attributes_rules);
let tokens = process_tokens(tokenizer.tokenize_with_allow_list(field, locales))
.take_while(|(p, _)| (*p as u32) < max_positions_per_attributes);

49
crates/milli/src/update/index_documents/extract/extract_facet_string_docids.rs
View File

@ -12,12 +12,11 @@ use heed::BytesEncode;
use super::helpers::{create_sorter, sorter_into_reader, try_split_array_at, GrenadParameters};
use crate::heed_codec::facet::{FacetGroupKey, FacetGroupKeyCodec};
use crate::heed_codec::{BEU16StrCodec, StrRefCodec};
use crate::localized_attributes_rules::LocalizedFieldIds;
use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
use crate::update::index_documents::helpers::{
MergeDeladdBtreesetString, MergeDeladdCboRoaringBitmaps,
};
use crate::update::settings::InnerIndexSettingsDiff;
use crate::update::settings::{InnerIndexSettings, InnerIndexSettingsDiff};
use crate::{FieldId, Result, MAX_FACET_VALUE_LENGTH};
/// Extracts the facet string and the documents ids where this facet string appear.
@ -33,13 +32,10 @@ pub fn extract_facet_string_docids<R: io::Read + io::Seek>(
if settings_diff.settings_update_only() {
extract_facet_string_docids_settings(docid_fid_facet_string, indexer, settings_diff)
} else {
let localized_field_ids = &settings_diff.new.localized_faceted_fields_ids;
let facet_search = settings_diff.new.facet_search;
extract_facet_string_docids_document_update(
docid_fid_facet_string,
indexer,
localized_field_ids,
facet_search,
&settings_diff.new,
)
}
}
@ -52,8 +48,7 @@ pub fn extract_facet_string_docids<R: io::Read + io::Seek>(
fn extract_facet_string_docids_document_update<R: io::Read + io::Seek>(
docid_fid_facet_string: grenad::Reader<R>,
indexer: GrenadParameters,
localized_field_ids: &LocalizedFieldIds,
facet_search: bool,
settings: &InnerIndexSettings,
) -> Result<(grenad::Reader<BufReader<File>>, grenad::Reader<BufReader<File>>)> {
let max_memory = indexer.max_memory_by_thread();
@ -92,6 +87,14 @@ fn extract_facet_string_docids_document_update<R: io::Read + io::Seek>(
let (field_id_bytes, bytes) = try_split_array_at(key).unwrap();
let field_id = FieldId::from_be_bytes(field_id_bytes);
let Some(metadata) = settings.fields_ids_map.metadata(field_id) else {
unreachable!("metadata not found for field_id: {}", field_id)
};
if !metadata.is_faceted(&settings.filterable_attributes_rules) {
continue;
}
let (document_id_bytes, normalized_value_bytes) =
try_split_array_at::<_, 4>(bytes).unwrap();
let document_id = u32::from_be_bytes(document_id_bytes);
@ -99,8 +102,10 @@ fn extract_facet_string_docids_document_update<R: io::Read + io::Seek>(
let normalized_value = str::from_utf8(normalized_value_bytes)?;
// Facet search normalization
if facet_search {
let locales = localized_field_ids.locales(field_id);
let features =
metadata.filterable_attributes_features(&settings.filterable_attributes_rules);
if features.is_facet_searchable() {
let locales = metadata.locales(&settings.localized_attributes_rules);
let hyper_normalized_value = normalize_facet_string(normalized_value, locales);
let set = BTreeSet::from_iter(std::iter::once(normalized_value));
@ -178,8 +183,15 @@ fn extract_facet_string_docids_settings<R: io::Read + io::Seek>(
let (field_id_bytes, bytes) = try_split_array_at(key).unwrap();
let field_id = FieldId::from_be_bytes(field_id_bytes);
let old_locales = settings_diff.old.localized_faceted_fields_ids.locales(field_id);
let new_locales = settings_diff.new.localized_faceted_fields_ids.locales(field_id);
let Some(old_metadata) = settings_diff.old.fields_ids_map.metadata(field_id) else {
unreachable!("old metadata not found for field_id: {}", field_id)
};
let Some(new_metadata) = settings_diff.new.fields_ids_map.metadata(field_id) else {
unreachable!("new metadata not found for field_id: {}", field_id)
};
let old_locales = old_metadata.locales(&settings_diff.old.localized_attributes_rules);
let new_locales = new_metadata.locales(&settings_diff.new.localized_attributes_rules);
let are_same_locales = old_locales == new_locales;
let reindex_facet_search =
@ -197,10 +209,15 @@ fn extract_facet_string_docids_settings<R: io::Read + io::Seek>(
// Facet search normalization
if settings_diff.new.facet_search {
let new_filterable_features = new_metadata
.filterable_attributes_features(&settings_diff.new.filterable_attributes_rules);
let new_hyper_normalized_value = normalize_facet_string(normalized_value, new_locales);
let old_hyper_normalized_value;
let old_filterable_features = old_metadata
.filterable_attributes_features(&settings_diff.old.filterable_attributes_rules);
let old_hyper_normalized_value = if !settings_diff.old.facet_search
|| deladd_reader.get(DelAdd::Deletion).is_none()
|| !old_filterable_features.is_facet_searchable()
{
// if the facet search is disabled in the old settings or if no facet string is deleted,
// we don't need to normalize the facet string.
@ -215,7 +232,9 @@ fn extract_facet_string_docids_settings<R: io::Read + io::Seek>(
let set = BTreeSet::from_iter(std::iter::once(normalized_value));
// if the facet string is the same, we can put the deletion and addition in the same obkv.
if old_hyper_normalized_value == Some(&new_hyper_normalized_value) {
if old_hyper_normalized_value == Some(&new_hyper_normalized_value)
&& new_filterable_features.is_facet_searchable()
{
// nothing to do if we delete and re-add the value.
if is_same_value {
continue;
@ -249,7 +268,9 @@ fn extract_facet_string_docids_settings<R: io::Read + io::Seek>(
}
// addition
if deladd_reader.get(DelAdd::Addition).is_some() {
if new_filterable_features.is_facet_searchable()
&& deladd_reader.get(DelAdd::Addition).is_some()
{
// insert new value
let val = SerdeJson::bytes_encode(&set).map_err(heed::Error::Encoding)?;
buffer.clear();

4
crates/milli/src/update/index_documents/extract/extract_fid_docid_facet_values.rs
View File

@ -76,9 +76,9 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
let mut strings_key_buffer = Vec::new();
let old_faceted_fids: BTreeSet<_> =
settings_diff.old.faceted_fields_ids.iter().copied().collect();
settings_diff.list_faceted_fields_from_fid_map(DelAdd::Deletion);
let new_faceted_fids: BTreeSet<_> =
settings_diff.new.faceted_fields_ids.iter().copied().collect();
settings_diff.list_faceted_fields_from_fid_map(DelAdd::Addition);
if !settings_diff.settings_update_only || settings_diff.reindex_facets() {
let mut cursor = obkv_documents.into_cursor()?;

25
crates/milli/src/update/index_documents/extract/extract_vector_points.rs
View File

@ -15,8 +15,9 @@ use serde_json::Value;
use super::helpers::{create_writer, writer_into_reader, GrenadParameters};
use crate::constants::RESERVED_VECTORS_FIELD_NAME;
use crate::error::FaultSource;
use crate::fields_ids_map::metadata::FieldIdMapWithMetadata;
use crate::index::IndexEmbeddingConfig;
use crate::prompt::{FieldsIdsMapWithMetadata, Prompt};
use crate::prompt::Prompt;
use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
use crate::update::settings::InnerIndexSettingsDiff;
use crate::vector::error::{EmbedErrorKind, PossibleEmbeddingMistakes, UnusedVectorsDistribution};
@ -190,12 +191,8 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
let reindex_vectors = settings_diff.reindex_vectors();
let old_fields_ids_map = &settings_diff.old.fields_ids_map;
let old_fields_ids_map =
FieldsIdsMapWithMetadata::new(old_fields_ids_map, &settings_diff.old.searchable_fields_ids);
let new_fields_ids_map = &settings_diff.new.fields_ids_map;
let new_fields_ids_map =
FieldsIdsMapWithMetadata::new(new_fields_ids_map, &settings_diff.new.searchable_fields_ids);
// the vector field id may have changed
let old_vectors_fid = old_fields_ids_map.id(RESERVED_VECTORS_FIELD_NAME);
@ -383,7 +380,7 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
);
continue;
}
regenerate_prompt(obkv, prompt, &new_fields_ids_map)?
regenerate_prompt(obkv, prompt, new_fields_ids_map)?
}
},
// prompt regeneration is only triggered for existing embedders
@ -400,7 +397,7 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
regenerate_if_prompt_changed(
obkv,
(old_prompt, prompt),
(&old_fields_ids_map, &new_fields_ids_map),
(old_fields_ids_map, new_fields_ids_map),
)?
} else {
// we can simply ignore user provided vectors as they are not regenerated and are
@ -416,7 +413,7 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
prompt,
(add_to_user_provided, remove_from_user_provided),
(old, new),
(&old_fields_ids_map, &new_fields_ids_map),
(old_fields_ids_map, new_fields_ids_map),
document_id,
embedder_name,
embedder_is_manual,
@ -486,10 +483,7 @@ fn extract_vector_document_diff(
prompt: &Prompt,
(add_to_user_provided, remove_from_user_provided): (&mut RoaringBitmap, &mut RoaringBitmap),
(old, new): (VectorState, VectorState),
(old_fields_ids_map, new_fields_ids_map): (
&FieldsIdsMapWithMetadata,
&FieldsIdsMapWithMetadata,
),
(old_fields_ids_map, new_fields_ids_map): (&FieldIdMapWithMetadata, &FieldIdMapWithMetadata),
document_id: impl Fn() -> Value,
embedder_name: &str,
embedder_is_manual: bool,
@ -611,10 +605,7 @@ fn extract_vector_document_diff(
fn regenerate_if_prompt_changed(
obkv: &obkv::KvReader<FieldId>,
(old_prompt, new_prompt): (&Prompt, &Prompt),
(old_fields_ids_map, new_fields_ids_map): (
&FieldsIdsMapWithMetadata,
&FieldsIdsMapWithMetadata,
),
(old_fields_ids_map, new_fields_ids_map): (&FieldIdMapWithMetadata, &FieldIdMapWithMetadata),
) -> Result<VectorStateDelta> {
let old_prompt = old_prompt
.render_kvdeladd(obkv, DelAdd::Deletion, old_fields_ids_map)
@ -630,7 +621,7 @@ fn regenerate_if_prompt_changed(
fn regenerate_prompt(
obkv: &obkv::KvReader<FieldId>,
prompt: &Prompt,
new_fields_ids_map: &FieldsIdsMapWithMetadata,
new_fields_ids_map: &FieldIdMapWithMetadata,
) -> Result<VectorStateDelta> {
let prompt = prompt.render_kvdeladd(obkv, DelAdd::Addition, new_fields_ids_map)?;

109
crates/milli/src/update/index_documents/mod.rs
View File

@ -26,6 +26,7 @@ use typed_chunk::{write_typed_chunk_into_index, ChunkAccumulator, TypedChunk};
pub use self::enrich::{extract_finite_float_from_value, DocumentId};
pub use self::helpers::*;
pub use self::transform::{Transform, TransformOutput};
use super::facet::clear_facet_levels_based_on_settings_diff;
use super::new::StdResult;
use crate::documents::{obkv_to_object, DocumentsBatchReader};
use crate::error::{Error, InternalError};
@ -215,9 +216,8 @@ where
flattened_documents,
} = output;
// update the internal facet and searchable list,
// update the searchable list,
// because they might have changed due to the nested documents flattening.
settings_diff.new.recompute_facets(self.wtxn, self.index)?;
settings_diff.new.recompute_searchables(self.wtxn, self.index)?;
let settings_diff = Arc::new(settings_diff);
@ -465,6 +465,11 @@ where
}
}
// If the settings are only being updated, we may have to clear some of the facet levels.
if settings_diff.settings_update_only() {
clear_facet_levels_based_on_settings_diff(self.wtxn, self.index, &settings_diff)?;
}
Ok(())
}).map_err(InternalError::from)??;
@ -765,18 +770,19 @@ mod tests {
use bumpalo::Bump;
use fst::IntoStreamer;
use heed::RwTxn;
use maplit::hashset;
use maplit::{btreeset, hashset};
use super::*;
use crate::constants::RESERVED_GEO_FIELD_NAME;
use crate::documents::mmap_from_objects;
use crate::filterable_attributes_rules::filtered_matching_field_names;
use crate::index::tests::TempIndex;
use crate::index::IndexEmbeddingConfig;
use crate::progress::Progress;
use crate::search::TermsMatchingStrategy;
use crate::update::new::indexer;
use crate::update::Setting;
use crate::{all_obkv_to_json, db_snap, Filter, Search, UserError};
use crate::{all_obkv_to_json, db_snap, Filter, FilterableAttributesRule, Search, UserError};
#[test]
fn simple_document_replacement() {
@ -1006,7 +1012,9 @@ mod tests {
index
.update_settings(|settings| {
settings.set_filterable_fields(hashset!(S(RESERVED_GEO_FIELD_NAME)));
settings.set_filterable_fields(vec![FilterableAttributesRule::Field(
RESERVED_GEO_FIELD_NAME.to_string(),
)]);
})
.unwrap();
}
@ -1018,7 +1026,9 @@ mod tests {
index
.update_settings(|settings| {
settings.set_filterable_fields(hashset!(S(RESERVED_GEO_FIELD_NAME)));
settings.set_filterable_fields(vec![FilterableAttributesRule::Field(
RESERVED_GEO_FIELD_NAME.to_string(),
)]);
})
.unwrap();
@ -1234,15 +1244,24 @@ mod tests {
let searchable_fields = vec![S("title"), S("nested.object"), S("nested.machin")];
settings.set_searchable_fields(searchable_fields);
let faceted_fields = hashset!(S("title"), S("nested.object"), S("nested.machin"));
let faceted_fields = vec![
FilterableAttributesRule::Field("title".to_string()),
FilterableAttributesRule::Field("nested.object".to_string()),
FilterableAttributesRule::Field("nested.machin".to_string()),
];
settings.set_filterable_fields(faceted_fields);
})
.unwrap();
let rtxn = index.read_txn().unwrap();
let facets = index.faceted_fields(&rtxn).unwrap();
assert_eq!(facets, hashset!(S("title"), S("nested.object"), S("nested.machin")));
let filterable_fields = index.filterable_attributes_rules(&rtxn).unwrap();
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
let facets =
filtered_matching_field_names(&filterable_fields, &fields_ids_map, &|features| {
features.is_filterable()
});
assert_eq!(facets, btreeset!("title", "nested.object", "nested.machin"));
// testing the simple query search
let mut search = crate::Search::new(&rtxn, &index);
@ -1438,7 +1457,9 @@ mod tests {
index
.update_settings(|settings| {
settings.set_filterable_fields(hashset!(String::from("dog")));
settings.set_filterable_fields(vec![FilterableAttributesRule::Field(
"dog".to_string(),
)]);
})
.unwrap();
@ -1457,9 +1478,14 @@ mod tests {
let rtxn = index.read_txn().unwrap();
let hidden = index.faceted_fields(&rtxn).unwrap();
let filterable_fields = index.filterable_attributes_rules(&rtxn).unwrap();
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
let facets =
filtered_matching_field_names(&filterable_fields, &fields_ids_map, &|features| {
features.is_filterable()
});
assert_eq!(hidden, hashset!(S("dog"), S("dog.race"), S("dog.race.bernese mountain")));
assert_eq!(facets, btreeset!("dog", "dog.race", "dog.race.bernese mountain"));
for (s, i) in [("zeroth", 0), ("first", 1), ("second", 2), ("third", 3)] {
let mut search = crate::Search::new(&rtxn, &index);
@ -1480,9 +1506,14 @@ mod tests {
let rtxn = index.read_txn().unwrap();
let facets = index.faceted_fields(&rtxn).unwrap();
let filterable_fields = index.filterable_attributes_rules(&rtxn).unwrap();
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
let facets =
filtered_matching_field_names(&filterable_fields, &fields_ids_map, &|features| {
features.is_filterable()
});
assert_eq!(facets, hashset!());
assert_eq!(facets, btreeset!());
// update the settings to test the sortable
index
@ -1506,10 +1537,6 @@ mod tests {
let rtxn = index.read_txn().unwrap();
let facets = index.faceted_fields(&rtxn).unwrap();
assert_eq!(facets, hashset!(S("dog.race"), S("dog.race.bernese mountain")));
let mut search = crate::Search::new(&rtxn, &index);
search.sort_criteria(vec![crate::AscDesc::Asc(crate::Member::Field(S(
"dog.race.bernese mountain",
@ -1717,8 +1744,13 @@ mod tests {
let check_ok = |index: &Index| {
let rtxn = index.read_txn().unwrap();
let facets = index.faceted_fields(&rtxn).unwrap();
assert_eq!(facets, hashset!(S("colour"), S("colour.green"), S("colour.green.blue")));
let filterable_fields = index.filterable_attributes_rules(&rtxn).unwrap();
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
let facets =
filtered_matching_field_names(&filterable_fields, &fields_ids_map, &|features| {
features.is_filterable()
});
assert_eq!(facets, btreeset!("colour", "colour.green", "colour.green.blue"));
let colour_id = index.fields_ids_map(&rtxn).unwrap().id("colour").unwrap();
let colour_green_id = index.fields_ids_map(&rtxn).unwrap().id("colour.green").unwrap();
@ -1738,7 +1770,7 @@ mod tests {
assert_eq!(bitmap_colour_blue.into_iter().collect::<Vec<_>>(), vec![7]);
};
let faceted_fields = hashset!(S("colour"));
let faceted_fields = vec![FilterableAttributesRule::Field("colour".to_string())];
let index = TempIndex::new();
index.add_documents(content()).unwrap();
@ -1823,8 +1855,13 @@ mod tests {
let check_ok = |index: &Index| {
let rtxn = index.read_txn().unwrap();
let facets = index.faceted_fields(&rtxn).unwrap();
assert_eq!(facets, hashset!(S("colour"), S("colour.green"), S("colour.green.blue")));
let filterable_fields = index.filterable_attributes_rules(&rtxn).unwrap();
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
let facets =
filtered_matching_field_names(&filterable_fields, &fields_ids_map, &|features| {
features.is_filterable()
});
assert_eq!(facets, btreeset!("colour", "colour.green", "colour.green.blue"));
let colour_id = index.fields_ids_map(&rtxn).unwrap().id("colour").unwrap();
let colour_green_id = index.fields_ids_map(&rtxn).unwrap().id("colour.green").unwrap();
@ -1844,7 +1881,7 @@ mod tests {
assert_eq!(bitmap_colour_blue.into_iter().collect::<Vec<_>>(), vec![3]);
};
let faceted_fields = hashset!(S("colour"));
let faceted_fields = vec![FilterableAttributesRule::Field("colour".to_string())];
let index = TempIndex::new();
index.add_documents(content()).unwrap();
@ -1887,8 +1924,13 @@ mod tests {
let check_ok = |index: &Index| {
let rtxn = index.read_txn().unwrap();
let facets = index.faceted_fields(&rtxn).unwrap();
assert_eq!(facets, hashset!(S("tags"), S("tags.green"), S("tags.green.blue")));
let filterable_fields = index.filterable_attributes_rules(&rtxn).unwrap();
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
let facets =
filtered_matching_field_names(&filterable_fields, &fields_ids_map, &|features| {
features.is_filterable()
});
assert_eq!(facets, btreeset!("tags", "tags.green", "tags.green.blue"));
let tags_id = index.fields_ids_map(&rtxn).unwrap().id("tags").unwrap();
let tags_green_id = index.fields_ids_map(&rtxn).unwrap().id("tags.green").unwrap();
@ -1907,7 +1949,7 @@ mod tests {
assert_eq!(bitmap_tags_blue.into_iter().collect::<Vec<_>>(), vec![12]);
};
let faceted_fields = hashset!(S("tags"));
let faceted_fields = vec![FilterableAttributesRule::Field("tags".to_string())];
let index = TempIndex::new();
index.add_documents(content()).unwrap();
@ -2259,7 +2301,9 @@ mod tests {
index
.update_settings(|settings| {
settings.set_filterable_fields(hashset! { S("title") });
settings.set_filterable_fields(vec![FilterableAttributesRule::Field(
"title".to_string(),
)]);
})
.unwrap();
@ -3115,7 +3159,10 @@ mod tests {
index
.update_settings_using_wtxn(&mut wtxn, |settings| {
settings.set_primary_key(S("docid"));
settings.set_filterable_fields(hashset! { S("label"), S("label2") });
settings.set_filterable_fields(vec![
FilterableAttributesRule::Field("label".to_string()),
FilterableAttributesRule::Field("label2".to_string()),
]);
})
.unwrap();
wtxn.commit().unwrap();
@ -3294,7 +3341,9 @@ mod tests {
index
.update_settings_using_wtxn(&mut wtxn, |settings| {
settings.set_primary_key(S("id"));
settings.set_filterable_fields(hashset!(S(RESERVED_GEO_FIELD_NAME)));
settings.set_filterable_fields(vec![FilterableAttributesRule::Field(
RESERVED_GEO_FIELD_NAME.to_string(),
)]);
settings.set_sortable_fields(hashset!(S(RESERVED_GEO_FIELD_NAME)));
})
.unwrap();

73
crates/milli/src/update/index_documents/transform.rs
View File

@ -1,7 +1,7 @@
use std::borrow::Cow;
use std::collections::btree_map::Entry as BEntry;
use std::collections::hash_map::Entry as HEntry;
use std::collections::{BTreeMap, HashMap, HashSet};
use std::collections::{BTreeMap, HashMap};
use std::fs::File;
use std::io::{Read, Seek};
@ -18,8 +18,10 @@ use super::helpers::{
ObkvsMergeAdditionsAndDeletions,
};
use super::{create_writer, IndexDocumentsMethod, IndexerConfig, KeepFirst};
use crate::attribute_patterns::PatternMatch;
use crate::documents::{DocumentsBatchIndex, EnrichedDocument, EnrichedDocumentsBatchReader};
use crate::error::{Error, InternalError, UserError};
use crate::fields_ids_map::metadata::{FieldIdMapWithMetadata, MetadataBuilder};
use crate::index::{db_name, main_key};
use crate::update::del_add::{
into_del_add_obkv, into_del_add_obkv_conditional_operation, DelAdd, DelAddOperation,
@ -31,9 +33,7 @@ use crate::update::{AvailableIds, UpdateIndexingStep};
use crate::vector::parsed_vectors::{ExplicitVectors, VectorOrArrayOfVectors};
use crate::vector::settings::WriteBackToDocuments;
use crate::vector::ArroyWrapper;
use crate::{
is_faceted_by, FieldDistribution, FieldId, FieldIdMapMissingEntry, FieldsIdsMap, Index, Result,
};
use crate::{FieldDistribution, FieldId, FieldIdMapMissingEntry, Index, Result};
pub struct TransformOutput {
pub primary_key: String,
@ -52,7 +52,7 @@ pub struct TransformOutput {
/// containing all those documents.
pub struct Transform<'a, 'i> {
pub index: &'i Index,
fields_ids_map: FieldsIdsMap,
fields_ids_map: FieldIdMapWithMetadata,
indexer_settings: &'a IndexerConfig,
pub index_documents_method: IndexDocumentsMethod,
@ -84,7 +84,7 @@ pub enum Operation {
///
/// If new fields are present in the addition, they are added to the index field ids map.
fn create_fields_mapping(
index_field_map: &mut FieldsIdsMap,
index_field_map: &mut FieldIdMapWithMetadata,
batch_field_map: &DocumentsBatchIndex,
) -> Result<HashMap<FieldId, FieldId>> {
batch_field_map
@ -141,10 +141,13 @@ impl<'a, 'i> Transform<'a, 'i> {
true,
);
let documents_ids = index.documents_ids(wtxn)?;
let fields_ids_map = index.fields_ids_map(wtxn)?;
let builder = MetadataBuilder::from_index(index, wtxn)?;
let fields_ids_map = FieldIdMapWithMetadata::new(fields_ids_map, builder);
Ok(Transform {
index,
fields_ids_map: index.fields_ids_map(wtxn)?,
fields_ids_map,
indexer_settings,
available_documents_ids: AvailableIds::new(&documents_ids),
original_sorter,
@ -354,7 +357,7 @@ impl<'a, 'i> Transform<'a, 'i> {
documents_seen: documents_count,
});
self.index.put_fields_ids_map(wtxn, &self.fields_ids_map)?;
self.index.put_fields_ids_map(wtxn, self.fields_ids_map.as_fields_ids_map())?;
self.index.put_primary_key(wtxn, &primary_key)?;
self.documents_count += documents_count;
// Now that we have a valid sorter that contains the user id and the obkv we
@ -371,7 +374,7 @@ impl<'a, 'i> Transform<'a, 'i> {
)]
fn flatten_from_fields_ids_map(
obkv: &KvReader<FieldId>,
fields_ids_map: &mut FieldsIdsMap,
fields_ids_map: &mut FieldIdMapWithMetadata,
) -> Result<Option<Vec<u8>>> {
if obkv
.iter()
@ -657,7 +660,6 @@ impl<'a, 'i> Transform<'a, 'i> {
fn rebind_existing_document(
old_obkv: &KvReader<FieldId>,
settings_diff: &InnerIndexSettingsDiff,
modified_faceted_fields: &HashSet<String>,
mut injected_vectors: serde_json::Map<String, serde_json::Value>,
old_vectors_fid: Option<FieldId>,
original_obkv_buffer: Option<&mut Vec<u8>>,
@ -667,23 +669,26 @@ impl<'a, 'i> Transform<'a, 'i> {
let is_primary_key = |id: FieldId| -> bool { settings_diff.primary_key_id == Some(id) };
// If only a faceted field has been added, keep only this field.
let global_facet_settings_changed = settings_diff.global_facet_settings_changed();
let facet_fids_changed = settings_diff.facet_fids_changed();
let necessary_faceted_field =
|id: FieldId| -> bool {
let necessary_faceted_field = |id: FieldId| -> Option<DelAddOperation> {
if facet_fids_changed {
let field_name = settings_diff.new.fields_ids_map.name(id).unwrap();
if global_facet_settings_changed {
settings_diff.new.user_defined_faceted_fields.iter().any(|long| {
is_faceted_by(long, field_name) || is_faceted_by(field_name, long)
})
} else if facet_fids_changed {
modified_faceted_fields.iter().any(|long| {
is_faceted_by(long, field_name) || is_faceted_by(field_name, long)
})
} else {
false
// if the faceted fields changed, we need to keep all the field that are
// faceted in the old or new settings.
match (
settings_diff.old.match_faceted_field(field_name),
settings_diff.new.match_faceted_field(field_name),
) {
(PatternMatch::NoMatch, PatternMatch::NoMatch) => None,
(PatternMatch::NoMatch, _) => Some(DelAddOperation::Addition),
(_, PatternMatch::NoMatch) => Some(DelAddOperation::Deletion),
(_, _) => Some(DelAddOperation::DeletionAndAddition),
}
};
} else {
None
}
};
// Alway provide all fields when vectors are involved because
// we need the fields for the prompt/templating.
@ -734,12 +739,22 @@ impl<'a, 'i> Transform<'a, 'i> {
}
}
if is_primary_key(id) || necessary_faceted_field(id) || reindex_vectors {
if is_primary_key(id) || reindex_vectors {
operations.insert(id, DelAddOperation::DeletionAndAddition);
obkv_writer.insert(id, val)?;
} else if let Some(operation) = settings_diff.reindex_searchable_id(id) {
operations.insert(id, operation);
obkv_writer.insert(id, val)?;
} else {
let facet_operation = necessary_faceted_field(id);
let searchable_operation = settings_diff.reindex_searchable_id(id);
let operation = facet_operation
// TODO: replace `zip.map` with `zip_with` once stable
.zip(searchable_operation)
.map(|(op1, op2)| op1.merge(op2))
.or(facet_operation)
.or(searchable_operation);
if let Some(operation) = operation {
operations.insert(id, operation);
obkv_writer.insert(id, val)?;
}
}
}
if !injected_vectors.is_empty() {
@ -856,7 +871,6 @@ impl<'a, 'i> Transform<'a, 'i> {
};
if original_sorter.is_some() || flattened_sorter.is_some() {
let modified_faceted_fields = settings_diff.modified_faceted_fields();
let mut original_obkv_buffer = Vec::new();
let mut flattened_obkv_buffer = Vec::new();
let mut document_sorter_key_buffer = Vec::new();
@ -897,7 +911,6 @@ impl<'a, 'i> Transform<'a, 'i> {
Self::rebind_existing_document(
old_obkv,
&settings_diff,
&modified_faceted_fields,
injected_vectors,
old_vectors_fid,
Some(&mut original_obkv_buffer).filter(|_| original_sorter.is_some()),

4
crates/milli/src/update/index_documents/typed_chunk.rs
View File

@ -365,7 +365,7 @@ pub(crate) fn write_typed_chunk_into_index(
let merger = builder.build();
let indexer = FacetsUpdate::new(index, FacetType::Number, merger, None, data_size);
indexer.execute(wtxn)?;
indexer.execute(wtxn, &settings_diff.new)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetStringDocids(_) => {
@ -401,7 +401,7 @@ pub(crate) fn write_typed_chunk_into_index(
Some(normalized_facet_id_string_merger),
data_size,
);
indexer.execute(wtxn)?;
indexer.execute(wtxn, &settings_diff.new)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetExistsDocids(_) => {

268
crates/milli/src/update/settings.rs
View File

@ -6,17 +6,20 @@ use std::sync::Arc;
use charabia::{Normalize, Tokenizer, TokenizerBuilder};
use deserr::{DeserializeError, Deserr};
use itertools::{EitherOrBoth, Itertools};
use itertools::{merge_join_by, EitherOrBoth, Itertools};
use roaring::RoaringBitmap;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use time::OffsetDateTime;
use super::del_add::DelAddOperation;
use super::del_add::{DelAdd, DelAddOperation};
use super::index_documents::{IndexDocumentsConfig, Transform};
use super::IndexerConfig;
use crate::constants::{RESERVED_GEO_FIELD_NAME, RESERVED_VECTORS_FIELD_NAME};
use crate::attribute_patterns::PatternMatch;
use crate::constants::RESERVED_GEO_FIELD_NAME;
use crate::criterion::Criterion;
use crate::error::UserError;
use crate::fields_ids_map::metadata::{FieldIdMapWithMetadata, MetadataBuilder};
use crate::filterable_attributes_rules::match_faceted_field;
use crate::index::{
IndexEmbeddingConfig, PrefixSearch, DEFAULT_MIN_WORD_LEN_ONE_TYPO,
DEFAULT_MIN_WORD_LEN_TWO_TYPOS,
@ -31,7 +34,7 @@ use crate::vector::settings::{
WriteBackToDocuments,
};
use crate::vector::{Embedder, EmbeddingConfig, EmbeddingConfigs};
use crate::{FieldId, FieldsIdsMap, Index, LocalizedAttributesRule, LocalizedFieldIds, Result};
use crate::{FieldId, FilterableAttributesRule, Index, LocalizedAttributesRule, Result};
#[derive(Debug, Clone, PartialEq, Eq, Copy)]
pub enum Setting<T> {
@ -155,7 +158,7 @@ pub struct Settings<'a, 't, 'i> {
searchable_fields: Setting<Vec<String>>,
displayed_fields: Setting<Vec<String>>,
filterable_fields: Setting<HashSet<String>>,
filterable_fields: Setting<Vec<FilterableAttributesRule>>,
sortable_fields: Setting<HashSet<String>>,
criteria: Setting<Vec<Criterion>>,
stop_words: Setting<BTreeSet<String>>,
@ -241,8 +244,8 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
self.filterable_fields = Setting::Reset;
}
pub fn set_filterable_fields(&mut self, names: HashSet<String>) {
self.filterable_fields = Setting::Set(names);
pub fn set_filterable_fields(&mut self, rules: Vec<FilterableAttributesRule>) {
self.filterable_fields = Setting::Set(rules);
}
pub fn set_sortable_fields(&mut self, names: HashSet<String>) {
@ -516,7 +519,7 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
}
/// Updates the index's searchable attributes.
fn update_searchable(&mut self) -> Result<bool> {
fn update_user_defined_searchable_attributes(&mut self) -> Result<bool> {
match self.searchable_fields {
Setting::Set(ref fields) => {
// Check to see if the searchable fields changed before doing anything else
@ -529,26 +532,10 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
return Ok(false);
}
// Since we're updating the settings we can only add new fields at the end of the field id map
let mut fields_ids_map = self.index.fields_ids_map(self.wtxn)?;
// fields are deduplicated, only the first occurrence is taken into account
let names = fields.iter().unique().map(String::as_str).collect::<Vec<_>>();
// Add all the searchable attributes to the field map, and then add the
// remaining fields from the old field map to the new one
for name in names.iter() {
// The fields ids map won't change the field id of already present elements thus only the
// new fields will be inserted.
fields_ids_map.insert(name).ok_or(UserError::AttributeLimitReached)?;
}
self.index.put_all_searchable_fields_from_fields_ids_map(
self.wtxn,
&names,
&fields_ids_map.nested_ids(RESERVED_VECTORS_FIELD_NAME),
&fields_ids_map,
)?;
self.index.put_fields_ids_map(self.wtxn, &fields_ids_map)?;
self.index.put_user_defined_searchable_fields(self.wtxn, &names)?;
Ok(true)
}
Setting::Reset => Ok(self.index.delete_all_searchable_fields(self.wtxn)?),
@ -760,14 +747,10 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
fn update_filterable(&mut self) -> Result<()> {
match self.filterable_fields {
Setting::Set(ref fields) => {
let mut new_facets = HashSet::new();
for name in fields {
new_facets.insert(name.clone());
}
self.index.put_filterable_fields(self.wtxn, &new_facets)?;
self.index.put_filterable_attributes_rules(self.wtxn, fields)?;
}
Setting::Reset => {
self.index.delete_filterable_fields(self.wtxn)?;
self.index.delete_filterable_attributes_rules(self.wtxn)?;
}
Setting::NotSet => (),
}
@ -1257,7 +1240,7 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
self.update_separator_tokens()?;
self.update_dictionary()?;
self.update_synonyms()?;
self.update_searchable()?;
self.update_user_defined_searchable_attributes()?;
self.update_exact_attributes()?;
self.update_proximity_precision()?;
self.update_prefix_search()?;
@ -1267,7 +1250,7 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
let embedding_config_updates = self.update_embedding_configs()?;
let mut new_inner_settings = InnerIndexSettings::from_index(self.index, self.wtxn, None)?;
new_inner_settings.recompute_facets(self.wtxn, self.index)?;
new_inner_settings.recompute_searchables(self.wtxn, self.index)?;
let primary_key_id = self
.index
@ -1319,8 +1302,8 @@ impl InnerIndexSettingsDiff {
settings_update_only: bool,
) -> Self {
let only_additional_fields = match (
&old_settings.user_defined_searchable_fields,
&new_settings.user_defined_searchable_fields,
&old_settings.user_defined_searchable_attributes,
&new_settings.user_defined_searchable_attributes,
) {
(None, None) | (Some(_), None) | (None, Some(_)) => None, // None means *
(Some(old), Some(new)) => {
@ -1342,14 +1325,14 @@ impl InnerIndexSettingsDiff {
|| old_settings.dictionary != new_settings.dictionary
|| old_settings.proximity_precision != new_settings.proximity_precision
|| old_settings.prefix_search != new_settings.prefix_search
|| old_settings.localized_searchable_fields_ids
!= new_settings.localized_searchable_fields_ids
|| old_settings.localized_attributes_rules
!= new_settings.localized_attributes_rules
};
let cache_exact_attributes = old_settings.exact_attributes != new_settings.exact_attributes;
let cache_user_defined_searchables = old_settings.user_defined_searchable_fields
!= new_settings.user_defined_searchable_fields;
let cache_user_defined_searchables = old_settings.user_defined_searchable_attributes
!= new_settings.user_defined_searchable_attributes;
// if the user-defined searchables changed, then we need to reindex prompts.
if cache_user_defined_searchables {
@ -1432,30 +1415,70 @@ impl InnerIndexSettingsDiff {
}
}
/// List the faceted fields from the inner fid map.
/// This is used to list the faceted fields when we are reindexing,
/// but it can't be used in document addition because the field id map must be exhaustive.
pub fn list_faceted_fields_from_fid_map(&self, del_add: DelAdd) -> BTreeSet<FieldId> {
let settings = match del_add {
DelAdd::Deletion => &self.old,
DelAdd::Addition => &self.new,
};
settings
.fields_ids_map
.iter_id_metadata()
.filter(|(_, metadata)| metadata.is_faceted(&settings.filterable_attributes_rules))
.map(|(id, _)| id)
.collect()
}
pub fn facet_fids_changed(&self) -> bool {
let existing_fields = &self.new.existing_fields;
if existing_fields.iter().any(|field| field.contains('.')) {
return true;
for eob in merge_join_by(
self.old.fields_ids_map.iter().filter(|(_, _, metadata)| {
metadata.is_faceted(&self.old.filterable_attributes_rules)
}),
self.new.fields_ids_map.iter().filter(|(_, _, metadata)| {
metadata.is_faceted(&self.new.filterable_attributes_rules)
}),
|(old_fid, _, _), (new_fid, _, _)| old_fid.cmp(new_fid),
) {
match eob {
// If there is a difference, we need to reindex facet databases.
EitherOrBoth::Left(_) | EitherOrBoth::Right(_) => return true,
// If the field is faceted in both old and new settings, we check the facet-searchable and facet level database.
EitherOrBoth::Both((_, _, old_metadata), (_, _, new_metadata)) => {
// Check if the field is facet-searchable in the old and new settings.
// If there is a difference, we need to reindex facet-search database.
let old_filterable_features = old_metadata
.filterable_attributes_features(&self.old.filterable_attributes_rules);
let new_filterable_features = new_metadata
.filterable_attributes_features(&self.new.filterable_attributes_rules);
let is_old_facet_searchable =
old_filterable_features.is_facet_searchable() && self.old.facet_search;
let is_new_facet_searchable =
new_filterable_features.is_facet_searchable() && self.new.facet_search;
if is_old_facet_searchable != is_new_facet_searchable {
return true;
}
// Check if the field needs a facet level database in the old and new settings.
// If there is a difference, we need to reindex facet level databases.
let old_facet_level_database = old_metadata
.require_facet_level_database(&self.old.filterable_attributes_rules);
let new_facet_level_database = new_metadata
.require_facet_level_database(&self.new.filterable_attributes_rules);
if old_facet_level_database != new_facet_level_database {
return true;
}
}
}
}
let old_faceted_fields = &self.old.user_defined_faceted_fields;
if old_faceted_fields.iter().any(|field| field.contains('.')) {
return true;
}
// If there is new faceted fields we indicate that we must reindex as we must
// index new fields as facets. It means that the distinct attribute,
// an Asc/Desc criterion or a filtered attribute as be added or removed.
let new_faceted_fields = &self.new.user_defined_faceted_fields;
if new_faceted_fields.iter().any(|field| field.contains('.')) {
return true;
}
(existing_fields - old_faceted_fields) != (existing_fields - new_faceted_fields)
false
}
pub fn global_facet_settings_changed(&self) -> bool {
self.old.localized_faceted_fields_ids != self.new.localized_faceted_fields_ids
self.old.localized_attributes_rules != self.new.localized_attributes_rules
|| self.old.facet_search != self.new.facet_search
}
@ -1475,10 +1498,6 @@ impl InnerIndexSettingsDiff {
self.old.geo_fields_ids != self.new.geo_fields_ids
|| (!self.settings_update_only && self.new.geo_fields_ids.is_some())
}
pub fn modified_faceted_fields(&self) -> HashSet<String> {
&self.old.user_defined_faceted_fields ^ &self.new.user_defined_faceted_fields
}
}
#[derive(Clone)]
@ -1486,20 +1505,17 @@ pub(crate) struct InnerIndexSettings {
pub stop_words: Option<fst::Set<Vec<u8>>>,
pub allowed_separators: Option<BTreeSet<String>>,
pub dictionary: Option<BTreeSet<String>>,
pub fields_ids_map: FieldsIdsMap,
pub user_defined_faceted_fields: HashSet<String>,
pub user_defined_searchable_fields: Option<Vec<String>>,
pub faceted_fields_ids: HashSet<FieldId>,
pub searchable_fields_ids: Vec<FieldId>,
pub fields_ids_map: FieldIdMapWithMetadata,
pub localized_attributes_rules: Vec<LocalizedAttributesRule>,
pub filterable_attributes_rules: Vec<FilterableAttributesRule>,
pub asc_desc_fields: HashSet<String>,
pub distinct_field: Option<String>,
pub user_defined_searchable_attributes: Option<Vec<String>>,
pub sortable_fields: HashSet<String>,
pub exact_attributes: HashSet<FieldId>,
pub proximity_precision: ProximityPrecision,
pub embedding_configs: EmbeddingConfigs,
pub existing_fields: HashSet<String>,
pub geo_fields_ids: Option<(FieldId, FieldId)>,
pub non_searchable_fields_ids: Vec<FieldId>,
pub non_faceted_fields_ids: Vec<FieldId>,
pub localized_searchable_fields_ids: LocalizedFieldIds,
pub localized_faceted_fields_ids: LocalizedFieldIds,
pub prefix_search: PrefixSearch,
pub facet_search: bool,
}
@ -1515,12 +1531,6 @@ impl InnerIndexSettings {
let allowed_separators = index.allowed_separators(rtxn)?;
let dictionary = index.dictionary(rtxn)?;
let mut fields_ids_map = index.fields_ids_map(rtxn)?;
let user_defined_searchable_fields = index.user_defined_searchable_fields(rtxn)?;
let user_defined_searchable_fields =
user_defined_searchable_fields.map(|sf| sf.into_iter().map(String::from).collect());
let user_defined_faceted_fields = index.user_defined_faceted_fields(rtxn)?;
let mut searchable_fields_ids = index.searchable_fields_ids(rtxn)?;
let mut faceted_fields_ids = index.faceted_fields_ids(rtxn)?;
let exact_attributes = index.exact_attributes_ids(rtxn)?;
let proximity_precision = index.proximity_precision(rtxn)?.unwrap_or_default();
let embedding_configs = match embedding_configs {
@ -1529,87 +1539,57 @@ impl InnerIndexSettings {
};
let prefix_search = index.prefix_search(rtxn)?.unwrap_or_default();
let facet_search = index.facet_search(rtxn)?;
let existing_fields: HashSet<_> = index
.field_distribution(rtxn)?
.into_iter()
.filter_map(|(field, count)| (count != 0).then_some(field))
.collect();
// index.fields_ids_map($a)? ==>> fields_ids_map
let geo_fields_ids = match fields_ids_map.id(RESERVED_GEO_FIELD_NAME) {
Some(gfid) => {
let is_sortable = index.sortable_fields_ids(rtxn)?.contains(&gfid);
let is_filterable = index.filterable_fields_ids(rtxn)?.contains(&gfid);
Some(_) if index.is_geo_enabled(rtxn)? => {
// if `_geo` is faceted then we get the `lat` and `lng`
if is_sortable || is_filterable {
let field_ids = fields_ids_map
.insert("_geo.lat")
.zip(fields_ids_map.insert("_geo.lng"))
.ok_or(UserError::AttributeLimitReached)?;
Some(field_ids)
} else {
None
}
let field_ids = fields_ids_map
.insert("_geo.lat")
.zip(fields_ids_map.insert("_geo.lng"))
.ok_or(UserError::AttributeLimitReached)?;
Some(field_ids)
}
None => None,
_ => None,
};
let localized_attributes_rules = index.localized_attributes_rules(rtxn)?;
let localized_searchable_fields_ids = LocalizedFieldIds::new(
&localized_attributes_rules,
&fields_ids_map,
searchable_fields_ids.iter().cloned(),
);
let localized_faceted_fields_ids = LocalizedFieldIds::new(
&localized_attributes_rules,
&fields_ids_map,
faceted_fields_ids.iter().cloned(),
);
let vectors_fids = fields_ids_map.nested_ids(RESERVED_VECTORS_FIELD_NAME);
searchable_fields_ids.retain(|id| !vectors_fids.contains(id));
faceted_fields_ids.retain(|id| !vectors_fids.contains(id));
let localized_attributes_rules =
index.localized_attributes_rules(rtxn)?.unwrap_or_default();
let filterable_attributes_rules = index.filterable_attributes_rules(rtxn)?;
let sortable_fields = index.sortable_fields(rtxn)?;
let asc_desc_fields = index.asc_desc_fields(rtxn)?;
let distinct_field = index.distinct_field(rtxn)?.map(|f| f.to_string());
let user_defined_searchable_attributes = index
.user_defined_searchable_fields(rtxn)?
.map(|fields| fields.into_iter().map(|f| f.to_string()).collect());
let builder = MetadataBuilder::from_index(index, rtxn)?;
let fields_ids_map = FieldIdMapWithMetadata::new(fields_ids_map, builder);
Ok(Self {
stop_words,
allowed_separators,
dictionary,
fields_ids_map,
user_defined_faceted_fields,
user_defined_searchable_fields,
faceted_fields_ids,
searchable_fields_ids,
localized_attributes_rules,
filterable_attributes_rules,
asc_desc_fields,
distinct_field,
user_defined_searchable_attributes,
sortable_fields,
exact_attributes,
proximity_precision,
embedding_configs,
existing_fields,
geo_fields_ids,
non_searchable_fields_ids: vectors_fids.clone(),
non_faceted_fields_ids: vectors_fids.clone(),
localized_searchable_fields_ids,
localized_faceted_fields_ids,
prefix_search,
facet_search,
})
}
// find and insert the new field ids
pub fn recompute_facets(&mut self, wtxn: &mut heed::RwTxn<'_>, index: &Index) -> Result<()> {
let new_facets = self
.fields_ids_map
.iter()
.filter(|(fid, _field)| !self.non_faceted_fields_ids.contains(fid))
.filter(|(_fid, field)| crate::is_faceted(field, &self.user_defined_faceted_fields))
.map(|(_fid, field)| field.to_string())
.collect();
index.put_faceted_fields(wtxn, &new_facets)?;
self.faceted_fields_ids = index.faceted_fields_ids(wtxn)?;
let localized_attributes_rules = index.localized_attributes_rules(wtxn)?;
self.localized_faceted_fields_ids = LocalizedFieldIds::new(
&localized_attributes_rules,
&self.fields_ids_map,
self.faceted_fields_ids.iter().cloned(),
);
Ok(())
pub fn match_faceted_field(&self, field: &str) -> PatternMatch {
match_faceted_field(
field,
&self.filterable_attributes_rules,
&self.sortable_fields,
&self.asc_desc_fields,
&self.distinct_field,
)
}
// find and insert the new field ids
@ -1619,7 +1599,7 @@ impl InnerIndexSettings {
index: &Index,
) -> Result<()> {
let searchable_fields = self
.user_defined_searchable_fields
.user_defined_searchable_attributes
.as_ref()
.map(|searchable| searchable.iter().map(|s| s.as_str()).collect::<Vec<_>>());
@ -1628,17 +1608,9 @@ impl InnerIndexSettings {
index.put_all_searchable_fields_from_fields_ids_map(
wtxn,
&searchable_fields,
&self.non_searchable_fields_ids,
&self.fields_ids_map,
)?;
}
self.searchable_fields_ids = index.searchable_fields_ids(wtxn)?;
let localized_attributes_rules = index.localized_attributes_rules(wtxn)?;
self.localized_searchable_fields_ids = LocalizedFieldIds::new(
&localized_attributes_rules,
&self.fields_ids_map,
self.searchable_fields_ids.iter().cloned(),
);
Ok(())
}