3942: Normalize for the search the facets values r=ManyTheFish a=Kerollmops

This PR improves and fixes the search for facet values feature. Searching for _bre_ wasn't returning facet values like _brévent_ or _brô_.

The issue was related to the fact that facets are normalized but not in the same way as the `searchableAttributes` are. We decided to normalize them further and add another intermediate database where the key is the normalized facet value, and the value is a set of the non-normalized facets. We then use these non-normalized ones to get the correct counts by fetching the associated databases.

### What's missing in this PR?
 - [x] Apply the change to the whole set of `SearchForFacetValue::execute` conditions.
 - [x] Factorize the code that does an intermediate normalized value fetch in a function.
 - [x] Add or modify the search for facet value test.

Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
This commit is contained in:
meili-bors[bot] 2023-07-25 14:37:17 +00:00 committed by GitHub
commit be72be7c0d
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GPG key ID: 4AEE18F83AFDEB23
13 changed files with 279 additions and 94 deletions

View file

@ -34,6 +34,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
script_language_docids,
facet_id_f64_docids,
facet_id_string_docids,
facet_id_normalized_string_strings,
facet_id_string_fst,
facet_id_exists_docids,
facet_id_is_null_docids,
@ -92,6 +93,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
word_prefix_fid_docids.clear(self.wtxn)?;
script_language_docids.clear(self.wtxn)?;
facet_id_f64_docids.clear(self.wtxn)?;
facet_id_normalized_string_strings.clear(self.wtxn)?;
facet_id_string_fst.clear(self.wtxn)?;
facet_id_exists_docids.clear(self.wtxn)?;
facet_id_is_null_docids.clear(self.wtxn)?;

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@ -236,6 +236,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
word_prefix_fid_docids,
facet_id_f64_docids: _,
facet_id_string_docids: _,
facet_id_normalized_string_strings: _,
facet_id_string_fst: _,
field_id_docid_facet_f64s: _,
field_id_docid_facet_strings: _,

View file

@ -76,9 +76,14 @@ pub const FACET_MAX_GROUP_SIZE: u8 = 8;
pub const FACET_GROUP_SIZE: u8 = 4;
pub const FACET_MIN_LEVEL_SIZE: u8 = 5;
use std::collections::BTreeSet;
use std::fs::File;
use std::iter::FromIterator;
use heed::types::DecodeIgnore;
use charabia::normalizer::{Normalize, NormalizerOption};
use grenad::{CompressionType, SortAlgorithm};
use heed::types::{ByteSlice, DecodeIgnore, SerdeJson};
use heed::BytesEncode;
use log::debug;
use time::OffsetDateTime;
@ -87,7 +92,9 @@ use super::FacetsUpdateBulk;
use crate::facet::FacetType;
use crate::heed_codec::facet::{FacetGroupKey, FacetGroupKeyCodec, FacetGroupValueCodec};
use crate::heed_codec::ByteSliceRefCodec;
use crate::{Index, Result, BEU16};
use crate::update::index_documents::create_sorter;
use crate::update::merge_btreeset_string;
use crate::{BEU16StrCodec, Index, Result, BEU16};
pub mod bulk;
pub mod delete;
@ -159,26 +166,69 @@ impl<'i> FacetsUpdate<'i> {
incremental_update.execute(wtxn)?;
}
// We clear the list of normalized-for-search facets
// and the previous FSTs to compute everything from scratch
self.index.facet_id_normalized_string_strings.clear(wtxn)?;
self.index.facet_id_string_fst.clear(wtxn)?;
// As we can't use the same write transaction to read and write in two different databases
// we must create a temporary sorter that we will write into LMDB afterward.
// As multiple unnormalized facet values can become the same normalized facet value
// we must merge them together.
let mut sorter = create_sorter(
SortAlgorithm::Unstable,
merge_btreeset_string,
CompressionType::None,
None,
None,
None,
);
// We iterate on the list of original, semi-normalized, facet values
// and normalize them for search, inserting them in LMDB in any given order.
let options = NormalizerOption { lossy: true, ..Default::default() };
let database = self.index.facet_id_string_docids.remap_data_type::<DecodeIgnore>();
for result in database.iter(wtxn)? {
let (facet_group_key, ()) = result?;
if let FacetGroupKey { field_id, level: 0, left_bound } = facet_group_key {
let normalized_facet = left_bound.normalize(&options);
let set = BTreeSet::from_iter(std::iter::once(left_bound));
let key = (field_id, normalized_facet.as_ref());
let key = BEU16StrCodec::bytes_encode(&key).ok_or(heed::Error::Encoding)?;
let val = SerdeJson::bytes_encode(&set).ok_or(heed::Error::Encoding)?;
sorter.insert(key, val)?;
}
}
// In this loop we don't need to take care of merging bitmaps
// as the grenad sorter already merged them for us.
let mut merger_iter = sorter.into_stream_merger_iter()?;
while let Some((key_bytes, btreeset_bytes)) = merger_iter.next()? {
self.index
.facet_id_normalized_string_strings
.remap_types::<ByteSlice, ByteSlice>()
.put(wtxn, key_bytes, btreeset_bytes)?;
}
// We compute one FST by string facet
let mut text_fsts = vec![];
let mut current_fst: Option<(u16, fst::SetBuilder<Vec<u8>>)> = None;
let database = self.index.facet_id_string_docids.remap_data_type::<DecodeIgnore>();
let database =
self.index.facet_id_normalized_string_strings.remap_data_type::<DecodeIgnore>();
for result in database.iter(wtxn)? {
let (facet_group_key, _) = result?;
if let FacetGroupKey { field_id, level: 0, left_bound } = facet_group_key {
current_fst = match current_fst.take() {
Some((fid, fst_builder)) if fid != field_id => {
let fst = fst_builder.into_set();
text_fsts.push((fid, fst));
Some((field_id, fst::SetBuilder::memory()))
}
Some((field_id, fst_builder)) => Some((field_id, fst_builder)),
None => Some((field_id, fst::SetBuilder::memory())),
};
if let Some((_, fst_builder)) = current_fst.as_mut() {
fst_builder.insert(left_bound)?;
let ((field_id, normalized_facet), _) = result?;
current_fst = match current_fst.take() {
Some((fid, fst_builder)) if fid != field_id => {
let fst = fst_builder.into_set();
text_fsts.push((fid, fst));
Some((field_id, fst::SetBuilder::memory()))
}
Some((field_id, fst_builder)) => Some((field_id, fst_builder)),
None => Some((field_id, fst::SetBuilder::memory())),
};
if let Some((_, fst_builder)) = current_fst.as_mut() {
fst_builder.insert(normalized_facet)?;
}
}
@ -187,9 +237,6 @@ impl<'i> FacetsUpdate<'i> {
text_fsts.push((field_id, fst));
}
// We remove all of the previous FSTs that were in this database
self.index.facet_id_string_fst.clear(wtxn)?;
// We write those FSTs in LMDB now
for (field_id, fst) in text_fsts {
self.index.facet_id_string_fst.put(wtxn, &BEU16::new(field_id), &fst)?;

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@ -1,4 +1,5 @@
use std::borrow::Cow;
use std::collections::BTreeSet;
use std::io;
use std::result::Result as StdResult;
@ -44,6 +45,27 @@ pub fn merge_roaring_bitmaps<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Resul
}
}
pub fn merge_btreeset_string<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Result<Cow<'a, [u8]>> {
if values.len() == 1 {
Ok(values[0].clone())
} else {
// TODO improve the perf by using a `#[borrow] Cow<str>`.
let strings: BTreeSet<String> = values
.iter()
.map(AsRef::as_ref)
.map(serde_json::from_slice::<BTreeSet<String>>)
.map(StdResult::unwrap)
.reduce(|mut current, new| {
for x in new {
current.insert(x);
}
current
})
.unwrap();
Ok(Cow::Owned(serde_json::to_vec(&strings).unwrap()))
}
}
pub fn keep_first<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Result<Cow<'a, [u8]>> {
Ok(values[0].clone())
}

View file

@ -13,9 +13,9 @@ pub use grenad_helpers::{
GrenadParameters, MergeableReader,
};
pub use merge_functions::{
concat_u32s_array, keep_first, keep_latest_obkv, merge_cbo_roaring_bitmaps,
merge_obkvs_and_operations, merge_roaring_bitmaps, merge_two_obkvs, serialize_roaring_bitmap,
MergeFn,
concat_u32s_array, keep_first, keep_latest_obkv, merge_btreeset_string,
merge_cbo_roaring_bitmaps, merge_obkvs_and_operations, merge_roaring_bitmaps, merge_two_obkvs,
serialize_roaring_bitmap, MergeFn,
};
use crate::MAX_WORD_LENGTH;

View file

@ -26,7 +26,7 @@ pub use self::enrich::{
};
pub use self::helpers::{
as_cloneable_grenad, create_sorter, create_writer, fst_stream_into_hashset,
fst_stream_into_vec, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
fst_stream_into_vec, merge_btreeset_string, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
sorter_into_lmdb_database, valid_lmdb_key, writer_into_reader, ClonableMmap, MergeFn,
};
use self::helpers::{grenad_obkv_into_chunks, GrenadParameters};

View file

@ -4,8 +4,9 @@ pub use self::delete_documents::{DeleteDocuments, DeletionStrategy, DocumentDele
pub use self::facet::bulk::FacetsUpdateBulk;
pub use self::facet::incremental::FacetsUpdateIncrementalInner;
pub use self::index_documents::{
merge_cbo_roaring_bitmaps, merge_roaring_bitmaps, DocumentAdditionResult, DocumentId,
IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod, MergeFn,
merge_btreeset_string, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
DocumentAdditionResult, DocumentId, IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod,
MergeFn,
};
pub use self::indexer_config::IndexerConfig;
pub use self::prefix_word_pairs::{