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Split wpp in several sorters

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This commit is contained in:
ManyTheFish
2023-09-28 10:45:25 +02:00
committed by Louis Dureuil
parent 28a8d0ccda
commit 66c2c82a18
1 changed files with 43 additions and 23 deletions
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66
milli/src/update/index_documents/extract/extract_word_pair_proximity_docids.rs
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@@ -6,8 +6,8 @@ use std::{cmp, io};
use obkv::KvReaderU16;
use super::helpers::{
create_sorter, merge_cbo_roaring_bitmaps, sorter_into_reader, try_split_array_at,
GrenadParameters, MergeFn,
create_sorter, create_writer, merge_cbo_roaring_bitmaps, sorter_into_reader,
try_split_array_at, writer_into_reader, GrenadParameters, MergeFn,
};
use crate::error::SerializationError;
use crate::index::db_name::DOCID_WORD_POSITIONS;
@@ -27,14 +27,19 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
let max_memory = indexer.max_memory_by_thread();
let mut word_pair_proximity_docids_sorter = create_sorter(
grenad::SortAlgorithm::Unstable,
merge_cbo_roaring_bitmaps,
indexer.chunk_compression_type,
indexer.chunk_compression_level,
indexer.max_nb_chunks,
max_memory.map(|m| m / 2),
);
let mut word_pair_proximity_docids_sorters: Vec<_> = (1..MAX_DISTANCE)
.into_iter()
.map(|_| {
create_sorter(
grenad::SortAlgorithm::Unstable,
merge_cbo_roaring_bitmaps,
indexer.chunk_compression_type,
indexer.chunk_compression_level,
indexer.max_nb_chunks,
max_memory.map(|m| m / MAX_DISTANCE as usize),
)
})
.collect();
let mut word_positions: VecDeque<(String, u16)> =
VecDeque::with_capacity(MAX_DISTANCE as usize);
@@ -49,6 +54,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
// if we change document, we fill the sorter
if current_document_id.map_or(false, |id| id != document_id) {
puffin::profile_scope!("Document into sorter");
while !word_positions.is_empty() {
word_positions_into_word_pair_proximity(
&mut word_positions,
@@ -59,7 +65,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
document_word_positions_into_sorter(
current_document_id.unwrap(),
&word_pair_proximity,
&mut word_pair_proximity_docids_sorter,
&mut word_pair_proximity_docids_sorters,
)?;
word_pair_proximity.clear();
word_positions.clear();
@@ -85,6 +91,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
}
if let Some(document_id) = current_document_id {
puffin::profile_scope!("Final document into sorter");
while !word_positions.is_empty() {
word_positions_into_word_pair_proximity(&mut word_positions, &mut word_pair_proximity)?;
}
@@ -92,11 +99,23 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
document_word_positions_into_sorter(
document_id,
&word_pair_proximity,
&mut word_pair_proximity_docids_sorter,
&mut word_pair_proximity_docids_sorters,
)?;
}
{
puffin::profile_scope!("sorter_into_reader");
let mut writer = create_writer(
indexer.chunk_compression_type,
indexer.chunk_compression_level,
tempfile::tempfile()?,
);
sorter_into_reader(word_pair_proximity_docids_sorter, indexer)
for sorter in word_pair_proximity_docids_sorters {
sorter.write_into_stream_writer(&mut writer)?;
}
writer_into_reader(writer)
}
}
/// Fills the list of all pairs of words with the shortest proximity between 1 and 7 inclusive.
@@ -106,9 +125,8 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
fn document_word_positions_into_sorter(
document_id: DocumentId,
word_pair_proximity: &HashMap<(String, String), u8>,
word_pair_proximity_docids_sorter: &mut grenad::Sorter<MergeFn>,
word_pair_proximity_docids_sorters: &mut Vec<grenad::Sorter<MergeFn>>,
) -> Result<()> {
puffin::profile_function!();
let mut key_buffer = Vec::new();
for ((w1, w2), prox) in word_pair_proximity {
key_buffer.clear();
@@ -117,7 +135,8 @@ fn document_word_positions_into_sorter(
key_buffer.push(0);
key_buffer.extend_from_slice(w2.as_bytes());
word_pair_proximity_docids_sorter.insert(&key_buffer, document_id.to_ne_bytes())?;
word_pair_proximity_docids_sorters[*prox as usize - 1]
.insert(&key_buffer, document_id.to_ne_bytes())?;
}
Ok(())
@@ -127,16 +146,17 @@ fn word_positions_into_word_pair_proximity(
word_positions: &mut VecDeque<(String, u16)>,
word_pair_proximity: &mut HashMap<(String, String), u8>,
) -> Result<()> {
puffin::profile_function!();
let (head_word, head_position) = word_positions.pop_front().unwrap();
for (word, position) in word_positions.iter() {
let prox = index_proximity(head_position as u32, *position as u32) as u8;
word_pair_proximity
.entry((head_word.clone(), word.clone()))
.and_modify(|p| {
*p = cmp::min(*p, prox);
})
.or_insert(prox);
if prox > 0 && prox < MAX_DISTANCE as u8 {
word_pair_proximity
.entry((head_word.clone(), word.clone()))
.and_modify(|p| {
*p = cmp::min(*p, prox);
})
.or_insert(prox);
}
}
Ok(())
}