MeiliSearch/milli/src/update/index_documents/extract/extract_facet_string_docids.rs

117 lines
4.7 KiB
Rust

use std::collections::BTreeSet;
use std::fs::File;
use std::io::BufReader;
use std::iter::FromIterator;
use std::{io, str};
use charabia::normalizer::{Normalize, NormalizerOption};
use heed::types::SerdeJson;
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::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
use crate::update::index_documents::helpers::{
merge_deladd_btreeset_string, merge_deladd_cbo_roaring_bitmaps,
};
use crate::update::settings::InnerIndexSettingsDiff;
use crate::{FieldId, Result, MAX_FACET_VALUE_LENGTH};
/// Extracts the facet string and the documents ids where this facet string appear.
///
/// Returns a grenad reader with the list of extracted facet strings and
/// documents ids from the given chunk of docid facet string positions.
#[tracing::instrument(level = "trace", skip_all, target = "indexing::extract")]
pub fn extract_facet_string_docids<R: io::Read + io::Seek>(
docid_fid_facet_string: grenad::Reader<R>,
indexer: GrenadParameters,
_settings_diff: &InnerIndexSettingsDiff,
) -> Result<(grenad::Reader<BufReader<File>>, grenad::Reader<BufReader<File>>)> {
puffin::profile_function!();
let max_memory = indexer.max_memory_by_thread();
let options = NormalizerOption { lossy: true, ..Default::default() };
let mut facet_string_docids_sorter = create_sorter(
grenad::SortAlgorithm::Stable,
merge_deladd_cbo_roaring_bitmaps,
indexer.chunk_compression_type,
indexer.chunk_compression_level,
indexer.max_nb_chunks,
max_memory.map(|m| m / 2),
);
let mut normalized_facet_string_docids_sorter = create_sorter(
grenad::SortAlgorithm::Stable,
merge_deladd_btreeset_string,
indexer.chunk_compression_type,
indexer.chunk_compression_level,
indexer.max_nb_chunks,
max_memory.map(|m| m / 2),
);
let mut buffer = Vec::new();
let mut cursor = docid_fid_facet_string.into_cursor()?;
while let Some((key, deladd_original_value_bytes)) = cursor.move_on_next()? {
let deladd_reader = KvReaderDelAdd::new(deladd_original_value_bytes);
// nothing to do if we delete and re-add the value.
if deladd_reader.get(DelAdd::Deletion).is_some()
&& deladd_reader.get(DelAdd::Addition).is_some()
{
continue;
}
let (field_id_bytes, bytes) = try_split_array_at(key).unwrap();
let field_id = FieldId::from_be_bytes(field_id_bytes);
let (document_id_bytes, normalized_value_bytes) =
try_split_array_at::<_, 4>(bytes).unwrap();
let document_id = u32::from_be_bytes(document_id_bytes);
let normalized_value = str::from_utf8(normalized_value_bytes)?;
// Facet search normalization
{
let mut hyper_normalized_value = normalized_value.normalize(&options);
let normalized_truncated_facet: String;
if hyper_normalized_value.len() > MAX_FACET_VALUE_LENGTH {
normalized_truncated_facet = hyper_normalized_value
.char_indices()
.take_while(|(idx, _)| *idx < MAX_FACET_VALUE_LENGTH)
.map(|(_, c)| c)
.collect();
hyper_normalized_value = normalized_truncated_facet.into();
}
let set = BTreeSet::from_iter(std::iter::once(normalized_value));
buffer.clear();
let mut obkv = KvWriterDelAdd::new(&mut buffer);
for (deladd_key, _) in deladd_reader.iter() {
let val = SerdeJson::bytes_encode(&set).map_err(heed::Error::Encoding)?;
obkv.insert(deladd_key, val)?;
}
obkv.finish()?;
let key = (field_id, hyper_normalized_value.as_ref());
let key_bytes = BEU16StrCodec::bytes_encode(&key).map_err(heed::Error::Encoding)?;
normalized_facet_string_docids_sorter.insert(key_bytes, &buffer)?;
}
let key = FacetGroupKey { field_id, level: 0, left_bound: normalized_value };
let key_bytes = FacetGroupKeyCodec::<StrRefCodec>::bytes_encode(&key).unwrap();
buffer.clear();
let mut obkv = KvWriterDelAdd::new(&mut buffer);
for (deladd_key, _) in deladd_reader.iter() {
obkv.insert(deladd_key, document_id.to_ne_bytes())?;
}
obkv.finish()?;
facet_string_docids_sorter.insert(&key_bytes, &buffer)?;
}
let normalized = sorter_into_reader(normalized_facet_string_docids_sorter, indexer)?;
sorter_into_reader(facet_string_docids_sorter, indexer).map(|s| (s, normalized))
}