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https://github.com/meilisearch/MeiliSearch
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Merge #3942
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:
commit
be72be7c0d
13 changed files with 279 additions and 94 deletions
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@ -34,6 +34,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
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script_language_docids,
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facet_id_f64_docids,
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facet_id_string_docids,
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facet_id_normalized_string_strings,
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facet_id_string_fst,
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facet_id_exists_docids,
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facet_id_is_null_docids,
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@ -92,6 +93,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
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word_prefix_fid_docids.clear(self.wtxn)?;
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script_language_docids.clear(self.wtxn)?;
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facet_id_f64_docids.clear(self.wtxn)?;
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facet_id_normalized_string_strings.clear(self.wtxn)?;
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facet_id_string_fst.clear(self.wtxn)?;
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facet_id_exists_docids.clear(self.wtxn)?;
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facet_id_is_null_docids.clear(self.wtxn)?;
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@ -236,6 +236,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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word_prefix_fid_docids,
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facet_id_f64_docids: _,
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facet_id_string_docids: _,
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facet_id_normalized_string_strings: _,
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facet_id_string_fst: _,
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field_id_docid_facet_f64s: _,
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field_id_docid_facet_strings: _,
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@ -76,9 +76,14 @@ pub const FACET_MAX_GROUP_SIZE: u8 = 8;
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pub const FACET_GROUP_SIZE: u8 = 4;
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pub const FACET_MIN_LEVEL_SIZE: u8 = 5;
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use std::collections::BTreeSet;
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use std::fs::File;
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use std::iter::FromIterator;
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use heed::types::DecodeIgnore;
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use charabia::normalizer::{Normalize, NormalizerOption};
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use grenad::{CompressionType, SortAlgorithm};
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use heed::types::{ByteSlice, DecodeIgnore, SerdeJson};
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use heed::BytesEncode;
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use log::debug;
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use time::OffsetDateTime;
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@ -87,7 +92,9 @@ use super::FacetsUpdateBulk;
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use crate::facet::FacetType;
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use crate::heed_codec::facet::{FacetGroupKey, FacetGroupKeyCodec, FacetGroupValueCodec};
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use crate::heed_codec::ByteSliceRefCodec;
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use crate::{Index, Result, BEU16};
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use crate::update::index_documents::create_sorter;
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use crate::update::merge_btreeset_string;
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use crate::{BEU16StrCodec, Index, Result, BEU16};
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pub mod bulk;
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pub mod delete;
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@ -159,26 +166,69 @@ impl<'i> FacetsUpdate<'i> {
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incremental_update.execute(wtxn)?;
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}
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// We clear the list of normalized-for-search facets
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// and the previous FSTs to compute everything from scratch
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self.index.facet_id_normalized_string_strings.clear(wtxn)?;
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self.index.facet_id_string_fst.clear(wtxn)?;
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// As we can't use the same write transaction to read and write in two different databases
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// we must create a temporary sorter that we will write into LMDB afterward.
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// As multiple unnormalized facet values can become the same normalized facet value
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// we must merge them together.
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let mut sorter = create_sorter(
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SortAlgorithm::Unstable,
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merge_btreeset_string,
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CompressionType::None,
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None,
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None,
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None,
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);
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// We iterate on the list of original, semi-normalized, facet values
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// and normalize them for search, inserting them in LMDB in any given order.
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let options = NormalizerOption { lossy: true, ..Default::default() };
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let database = self.index.facet_id_string_docids.remap_data_type::<DecodeIgnore>();
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for result in database.iter(wtxn)? {
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let (facet_group_key, ()) = result?;
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if let FacetGroupKey { field_id, level: 0, left_bound } = facet_group_key {
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let normalized_facet = left_bound.normalize(&options);
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let set = BTreeSet::from_iter(std::iter::once(left_bound));
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let key = (field_id, normalized_facet.as_ref());
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let key = BEU16StrCodec::bytes_encode(&key).ok_or(heed::Error::Encoding)?;
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let val = SerdeJson::bytes_encode(&set).ok_or(heed::Error::Encoding)?;
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sorter.insert(key, val)?;
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}
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}
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// In this loop we don't need to take care of merging bitmaps
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// as the grenad sorter already merged them for us.
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let mut merger_iter = sorter.into_stream_merger_iter()?;
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while let Some((key_bytes, btreeset_bytes)) = merger_iter.next()? {
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self.index
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.facet_id_normalized_string_strings
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.remap_types::<ByteSlice, ByteSlice>()
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.put(wtxn, key_bytes, btreeset_bytes)?;
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}
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// We compute one FST by string facet
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let mut text_fsts = vec![];
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let mut current_fst: Option<(u16, fst::SetBuilder<Vec<u8>>)> = None;
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let database = self.index.facet_id_string_docids.remap_data_type::<DecodeIgnore>();
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let database =
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self.index.facet_id_normalized_string_strings.remap_data_type::<DecodeIgnore>();
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for result in database.iter(wtxn)? {
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let (facet_group_key, _) = result?;
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if let FacetGroupKey { field_id, level: 0, left_bound } = facet_group_key {
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current_fst = match current_fst.take() {
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Some((fid, fst_builder)) if fid != field_id => {
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let fst = fst_builder.into_set();
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text_fsts.push((fid, fst));
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Some((field_id, fst::SetBuilder::memory()))
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}
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Some((field_id, fst_builder)) => Some((field_id, fst_builder)),
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None => Some((field_id, fst::SetBuilder::memory())),
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};
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if let Some((_, fst_builder)) = current_fst.as_mut() {
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fst_builder.insert(left_bound)?;
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let ((field_id, normalized_facet), _) = result?;
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current_fst = match current_fst.take() {
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Some((fid, fst_builder)) if fid != field_id => {
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let fst = fst_builder.into_set();
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text_fsts.push((fid, fst));
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Some((field_id, fst::SetBuilder::memory()))
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}
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Some((field_id, fst_builder)) => Some((field_id, fst_builder)),
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None => Some((field_id, fst::SetBuilder::memory())),
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};
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if let Some((_, fst_builder)) = current_fst.as_mut() {
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fst_builder.insert(normalized_facet)?;
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}
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}
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@ -187,9 +237,6 @@ impl<'i> FacetsUpdate<'i> {
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text_fsts.push((field_id, fst));
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}
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// We remove all of the previous FSTs that were in this database
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self.index.facet_id_string_fst.clear(wtxn)?;
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// We write those FSTs in LMDB now
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for (field_id, fst) in text_fsts {
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self.index.facet_id_string_fst.put(wtxn, &BEU16::new(field_id), &fst)?;
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@ -1,4 +1,5 @@
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use std::borrow::Cow;
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use std::collections::BTreeSet;
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use std::io;
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use std::result::Result as StdResult;
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@ -44,6 +45,27 @@ pub fn merge_roaring_bitmaps<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Resul
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}
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}
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pub fn merge_btreeset_string<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Result<Cow<'a, [u8]>> {
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if values.len() == 1 {
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Ok(values[0].clone())
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} else {
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// TODO improve the perf by using a `#[borrow] Cow<str>`.
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let strings: BTreeSet<String> = values
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.iter()
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.map(AsRef::as_ref)
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.map(serde_json::from_slice::<BTreeSet<String>>)
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.map(StdResult::unwrap)
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.reduce(|mut current, new| {
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for x in new {
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current.insert(x);
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}
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current
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})
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.unwrap();
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Ok(Cow::Owned(serde_json::to_vec(&strings).unwrap()))
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}
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}
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pub fn keep_first<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Result<Cow<'a, [u8]>> {
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Ok(values[0].clone())
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}
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@ -13,9 +13,9 @@ pub use grenad_helpers::{
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GrenadParameters, MergeableReader,
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};
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pub use merge_functions::{
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concat_u32s_array, keep_first, keep_latest_obkv, merge_cbo_roaring_bitmaps,
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merge_obkvs_and_operations, merge_roaring_bitmaps, merge_two_obkvs, serialize_roaring_bitmap,
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MergeFn,
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concat_u32s_array, keep_first, keep_latest_obkv, merge_btreeset_string,
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merge_cbo_roaring_bitmaps, merge_obkvs_and_operations, merge_roaring_bitmaps, merge_two_obkvs,
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serialize_roaring_bitmap, MergeFn,
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};
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use crate::MAX_WORD_LENGTH;
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@ -26,7 +26,7 @@ pub use self::enrich::{
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};
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pub use self::helpers::{
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as_cloneable_grenad, create_sorter, create_writer, fst_stream_into_hashset,
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fst_stream_into_vec, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
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fst_stream_into_vec, merge_btreeset_string, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
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sorter_into_lmdb_database, valid_lmdb_key, writer_into_reader, ClonableMmap, MergeFn,
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};
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use self::helpers::{grenad_obkv_into_chunks, GrenadParameters};
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@ -4,8 +4,9 @@ pub use self::delete_documents::{DeleteDocuments, DeletionStrategy, DocumentDele
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pub use self::facet::bulk::FacetsUpdateBulk;
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pub use self::facet::incremental::FacetsUpdateIncrementalInner;
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pub use self::index_documents::{
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merge_cbo_roaring_bitmaps, merge_roaring_bitmaps, DocumentAdditionResult, DocumentId,
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IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod, MergeFn,
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merge_btreeset_string, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
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DocumentAdditionResult, DocumentId, IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod,
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MergeFn,
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};
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pub use self::indexer_config::IndexerConfig;
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pub use self::prefix_word_pairs::{
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