searchengines-web/MeiliSearch
searchengines-web/MeiliSearch
1
0
Fork 0
mirror of https://github.com/meilisearch/MeiliSearch synced 2024-11-22 04:44:26 +01:00
Code Issues Releases Wiki Activity

Wip

Browse Source
This commit is contained in:
ManyTheFish 2023-09-18 09:59:38 +02:00 committed by Louis Dureuil
parent 62ea81bef6
commit 17b647dfe5
No known key found for this signature in database
13 changed files with 288 additions and 200 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
Cargo.lock generated
View File

@ -2703,6 +2703,7 @@ dependencies = [
"logging_timer",
"maplit",
"md5",
"meili-snap",
"memmap2",
"mimalloc",
"obkv",

1
milli/Cargo.toml
View File

@ -79,6 +79,7 @@ big_s = "1.0.2"
insta = "1.29.0"
maplit = "1.0.2"
md5 = "0.7.0"
meili-snap = { path = "../meili-snap" }
rand = { version = "0.8.5", features = ["small_rng"] }
[features]

1
milli/src/search/new/tests/sort.rs
View File

@ -13,6 +13,7 @@ This module tests the `sort` ranking rule:
use big_s::S;
use maplit::hashset;
use meili_snap::insta;
use crate::index::tests::TempIndex;
use crate::search::new::tests::collect_field_values;

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

@ -5,11 +5,11 @@ use std::io::BufReader;
use std::{io, mem, str};
use charabia::{Language, Script, SeparatorKind, Token, TokenKind, Tokenizer, TokenizerBuilder};
use obkv::KvReader;
use obkv::{KvReader, KvWriterU16};
use roaring::RoaringBitmap;
use serde_json::Value;
use super::helpers::{concat_u32s_array, create_sorter, sorter_into_reader, GrenadParameters};
use super::helpers::{create_sorter, keep_latest_obkv, sorter_into_reader, GrenadParameters};
use crate::error::{InternalError, SerializationError};
use crate::update::index_documents::MergeFn;
use crate::{
@ -43,7 +43,7 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
let mut script_language_docids = HashMap::new();
let mut docid_word_positions_sorter = create_sorter(
grenad::SortAlgorithm::Stable,
concat_u32s_array,
keep_latest_obkv,
indexer.chunk_compression_type,
indexer.chunk_compression_level,
indexer.max_nb_chunks,
@ -156,6 +156,7 @@ fn extract_tokens_from_document(
let tokens = process_tokens(tokenizer.tokenize(field))
.take_while(|(p, _)| (*p as u32) < max_positions_per_attributes);
let mut writer = KvWriterU16::memory();
for (index, token) in tokens {
// if a language has been detected for the token, we update the counter.
if let Some(language) = token.language {
@ -169,17 +170,17 @@ fn extract_tokens_from_document(
}
let token = token.lemma().trim();
if !token.is_empty() && token.len() <= MAX_WORD_LENGTH {
buffers.key_buffer.truncate(mem::size_of::<u32>());
buffers.key_buffer.extend_from_slice(token.as_bytes());
let position: u16 = index
.try_into()
.map_err(|_| SerializationError::InvalidNumberSerialization)?;
let position = absolute_from_relative_position(field_id, position);
docid_word_positions_sorter
.insert(&buffers.key_buffer, position.to_ne_bytes())?;
writer.insert(position, token.as_bytes())?;
}
}
let positions = writer.into_inner()?;
buffers.key_buffer.truncate(mem::size_of::<u32>());
buffers.key_buffer.extend_from_slice(&field_id.to_be_bytes());
docid_word_positions_sorter.insert(&buffers.key_buffer, positions)?;
}
}
}

67
milli/src/update/index_documents/extract/extract_fid_word_count_docids.rs
View File

@ -1,16 +1,17 @@
use std::collections::HashMap;
use std::fs::File;
use std::io::{self, BufReader};
use grenad::Sorter;
use obkv::KvReaderU16;
use super::helpers::{
create_sorter, merge_cbo_roaring_bitmaps, read_u32_ne_bytes, sorter_into_reader,
try_split_array_at, GrenadParameters, MergeFn,
create_sorter, merge_cbo_roaring_bitmaps, sorter_into_reader, try_split_array_at,
GrenadParameters,
};
use crate::error::SerializationError;
use crate::index::db_name::DOCID_WORD_POSITIONS;
use crate::{relative_from_absolute_position, DocumentId, FieldId, Result};
use crate::Result;
const MAX_COUNTED_WORDS: usize = 30;
/// Extracts the field id word count and the documents ids where
/// this field id with this amount of words appear.
@ -35,63 +36,21 @@ pub fn extract_fid_word_count_docids<R: io::Read + io::Seek>(
max_memory,
);
// This map is assumed to not consume a lot of memory.
let mut document_fid_wordcount = HashMap::new();
let mut current_document_id = None;
let mut key_buffer = Vec::new();
let mut cursor = docid_word_positions.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
let (document_id_bytes, _word_bytes) = try_split_array_at(key)
let (document_id_bytes, fid_bytes) = try_split_array_at(key)
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
let document_id = u32::from_be_bytes(document_id_bytes);
let curr_document_id = *current_document_id.get_or_insert(document_id);
if curr_document_id != document_id {
drain_document_fid_wordcount_into_sorter(
&mut fid_word_count_docids_sorter,
&mut document_fid_wordcount,
curr_document_id,
)?;
current_document_id = Some(document_id);
}
for position in read_u32_ne_bytes(value) {
let (field_id, _) = relative_from_absolute_position(position);
let value = document_fid_wordcount.entry(field_id as FieldId).or_insert(0);
*value += 1;
}
}
if let Some(document_id) = current_document_id {
// We must make sure that don't lose the current document field id
// word count map if we break because we reached the end of the chunk.
drain_document_fid_wordcount_into_sorter(
&mut fid_word_count_docids_sorter,
&mut document_fid_wordcount,
document_id,
)?;
}
sorter_into_reader(fid_word_count_docids_sorter, indexer)
}
fn drain_document_fid_wordcount_into_sorter(
fid_word_count_docids_sorter: &mut Sorter<MergeFn>,
document_fid_wordcount: &mut HashMap<FieldId, u32>,
document_id: DocumentId,
) -> Result<()> {
let mut key_buffer = Vec::new();
for (fid, count) in document_fid_wordcount.drain() {
if count <= 30 {
let word_count = KvReaderU16::new(&value).iter().take(MAX_COUNTED_WORDS + 1).count();
if word_count <= MAX_COUNTED_WORDS {
key_buffer.clear();
key_buffer.extend_from_slice(&fid.to_be_bytes());
key_buffer.push(count as u8);
key_buffer.extend_from_slice(fid_bytes);
key_buffer.push(word_count as u8);
fid_word_count_docids_sorter.insert(&key_buffer, document_id.to_ne_bytes())?;
}
}
Ok(())
sorter_into_reader(fid_word_count_docids_sorter, indexer)
}

138
milli/src/update/index_documents/extract/extract_word_docids.rs
View File

@ -1,18 +1,19 @@
use std::collections::HashSet;
use std::collections::{BTreeSet, HashSet};
use std::fs::File;
use std::io::{self, BufReader};
use std::iter::FromIterator;
use obkv::KvReaderU16;
use roaring::RoaringBitmap;
use super::helpers::{
create_sorter, merge_roaring_bitmaps, serialize_roaring_bitmap, sorter_into_reader,
try_split_array_at, GrenadParameters,
create_sorter, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps, serialize_roaring_bitmap,
sorter_into_reader, try_split_array_at, GrenadParameters,
};
use crate::error::SerializationError;
use crate::index::db_name::DOCID_WORD_POSITIONS;
use crate::update::index_documents::helpers::read_u32_ne_bytes;
use crate::{relative_from_absolute_position, FieldId, Result};
use crate::update::MergeFn;
use crate::{DocumentId, FieldId, Result};
/// Extracts the word and the documents ids where this word appear.
///
@ -26,7 +27,11 @@ pub fn extract_word_docids<R: io::Read + io::Seek>(
docid_word_positions: grenad::Reader<R>,
indexer: GrenadParameters,
exact_attributes: &HashSet<FieldId>,
) -> Result<(grenad::Reader<BufReader<File>>, grenad::Reader<BufReader<File>>)> {
) -> Result<(
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
)> {
puffin::profile_function!();
let max_memory = indexer.max_memory_by_thread();
@ -37,7 +42,7 @@ pub fn extract_word_docids<R: io::Read + io::Seek>(
indexer.chunk_compression_type,
indexer.chunk_compression_level,
indexer.max_nb_chunks,
max_memory.map(|x| x / 2),
max_memory.map(|x| x / 3),
);
let mut exact_word_docids_sorter = create_sorter(
@ -46,45 +51,116 @@ pub fn extract_word_docids<R: io::Read + io::Seek>(
indexer.chunk_compression_type,
indexer.chunk_compression_level,
indexer.max_nb_chunks,
max_memory.map(|x| x / 2),
max_memory.map(|x| x / 3),
);
let mut word_fid_docids_sorter = create_sorter(
grenad::SortAlgorithm::Unstable,
merge_roaring_bitmaps,
indexer.chunk_compression_type,
indexer.chunk_compression_level,
indexer.max_nb_chunks,
max_memory.map(|x| x / 3),
);
let mut current_document_id = None;
let mut fid = 0;
let mut key_buffer = Vec::new();
let mut value_buffer = Vec::new();
let mut words = BTreeSet::new();
let mut exact_words = BTreeSet::new();
let mut cursor = docid_word_positions.into_cursor()?;
while let Some((key, positions)) = cursor.move_on_next()? {
let (document_id_bytes, word_bytes) = try_split_array_at(key)
while let Some((key, value)) = cursor.move_on_next()? {
let (document_id_bytes, fid_bytes) = try_split_array_at(key)
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
let (fid_bytes, _) = try_split_array_at(key)
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
let document_id = u32::from_be_bytes(document_id_bytes);
fid = u16::from_be_bytes(fid_bytes);
let bitmap = RoaringBitmap::from_iter(Some(document_id));
serialize_roaring_bitmap(&bitmap, &mut value_buffer)?;
// drain the btreemaps when we change document.
if current_document_id.map_or(false, |id| id != document_id) {
words_into_sorters(
document_id,
fid,
&mut key_buffer,
&mut value_buffer,
&mut exact_words,
&mut words,
&mut exact_word_docids_sorter,
&mut word_docids_sorter,
&mut word_fid_docids_sorter,
)?;
}
// If there are no exact attributes, we do not need to iterate over positions.
if exact_attributes.is_empty() {
word_docids_sorter.insert(word_bytes, &value_buffer)?;
current_document_id = Some(document_id);
// every words contained in an attribute set to exact must be pushed in the exact_words list.
if exact_attributes.contains(&fid) {
for (_pos, word) in KvReaderU16::new(&value).iter() {
exact_words.insert(word.to_vec());
}
} else {
let mut added_to_exact = false;
let mut added_to_word_docids = false;
for position in read_u32_ne_bytes(positions) {
// as soon as we know that this word had been to both readers, we don't need to
// iterate over the positions.
if added_to_exact && added_to_word_docids {
break;
}
let (fid, _) = relative_from_absolute_position(position);
if exact_attributes.contains(&fid) && !added_to_exact {
exact_word_docids_sorter.insert(word_bytes, &value_buffer)?;
added_to_exact = true;
} else if !added_to_word_docids {
word_docids_sorter.insert(word_bytes, &value_buffer)?;
added_to_word_docids = true;
}
for (_pos, word) in KvReaderU16::new(&value).iter() {
words.insert(word.to_vec());
}
}
}
// We must make sure that don't lose the current document field id
if let Some(document_id) = current_document_id {
words_into_sorters(
document_id,
fid,
&mut key_buffer,
&mut value_buffer,
&mut exact_words,
&mut words,
&mut exact_word_docids_sorter,
&mut word_docids_sorter,
&mut word_fid_docids_sorter,
)?;
}
Ok((
sorter_into_reader(word_docids_sorter, indexer)?,
sorter_into_reader(exact_word_docids_sorter, indexer)?,
sorter_into_reader(word_fid_docids_sorter, indexer)?,
))
}
fn words_into_sorters(
document_id: DocumentId,
fid: FieldId,
key_buffer: &mut Vec<u8>,
value_buffer: &mut Vec<u8>,
exact_words: &mut BTreeSet<Vec<u8>>,
words: &mut BTreeSet<Vec<u8>>,
exact_word_docids_sorter: &mut grenad::Sorter<MergeFn>,
word_docids_sorter: &mut grenad::Sorter<MergeFn>,
word_fid_docids_sorter: &mut grenad::Sorter<MergeFn>,
) -> Result<()> {
puffin::profile_function!();
let bitmap = RoaringBitmap::from_iter(Some(document_id));
serialize_roaring_bitmap(&bitmap, value_buffer)?;
for word_bytes in exact_words.iter() {
exact_word_docids_sorter.insert(word_bytes, &mut *value_buffer)?;
}
for word_bytes in words.iter() {
word_docids_sorter.insert(word_bytes, &value_buffer)?;
}
for word_bytes in (&*words | &*exact_words).iter() {
key_buffer.clear();
key_buffer.extend_from_slice(&word_bytes);
key_buffer.push(0);
key_buffer.extend_from_slice(&fid.to_be_bytes());
word_fid_docids_sorter.insert(word_bytes, &value_buffer)?;
}
exact_words.clear();
words.clear();
Ok(())
}

2
milli/src/update/index_documents/extract/extract_word_fid_docids.rs
View File

@ -17,6 +17,8 @@ pub fn extract_word_fid_docids<R: io::Read + io::Seek>(
) -> Result<grenad::Reader<BufReader<File>>> {
puffin::profile_function!();
todo!("remove me");
let max_memory = indexer.max_memory_by_thread();
let mut word_fid_docids_sorter = create_sorter(

145
milli/src/update/index_documents/extract/extract_word_pair_proximity_docids.rs
View File

@ -1,12 +1,14 @@
use std::cmp::Ordering;
use std::collections::{BinaryHeap, HashMap};
use std::collections::HashMap;
use std::fs::File;
use std::io::BufReader;
use std::{cmp, io, mem, str, vec};
use std::{cmp, io};
use obkv::KvReaderU16;
use super::helpers::{
create_sorter, merge_cbo_roaring_bitmaps, read_u32_ne_bytes, sorter_into_reader,
try_split_array_at, GrenadParameters, MergeFn,
create_sorter, merge_cbo_roaring_bitmaps, sorter_into_reader, try_split_array_at,
GrenadParameters, MergeFn,
};
use crate::error::SerializationError;
use crate::index::db_name::DOCID_WORD_POSITIONS;
@ -35,44 +37,59 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
max_memory.map(|m| m / 2),
);
// This map is assumed to not consume a lot of memory.
let mut document_word_positions_heap = BinaryHeap::new();
let mut word_positions: Vec<(String, u16)> = Vec::with_capacity(MAX_DISTANCE as usize);
let mut word_pair_proximity = HashMap::new();
let mut current_document_id = None;
let mut cursor = docid_word_positions.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
let (document_id_bytes, word_bytes) = try_split_array_at(key)
let (document_id_bytes, _fid_bytes) = try_split_array_at(key)
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
let document_id = u32::from_be_bytes(document_id_bytes);
let word = str::from_utf8(word_bytes)?;
let curr_document_id = *current_document_id.get_or_insert(document_id);
if curr_document_id != document_id {
let document_word_positions_heap = mem::take(&mut document_word_positions_heap);
document_word_positions_into_sorter(
curr_document_id,
document_word_positions_heap,
&mut word_pair_proximity_docids_sorter,
)?;
current_document_id = Some(document_id);
}
for (position, word) in KvReaderU16::new(&value).iter() {
// if we change document, we fill the sorter
if current_document_id.map_or(false, |id| id != document_id) {
while !word_positions.is_empty() {
word_positions_into_word_pair_proximity(
&mut word_positions,
&mut word_pair_proximity,
)?;
}
let word = word.to_string();
let mut positions: Vec<_> = read_u32_ne_bytes(value).collect();
positions.sort_unstable();
let mut iter = positions.into_iter();
if let Some(position) = iter.next() {
document_word_positions_heap.push(PeekedWordPosition { word, position, iter });
document_word_positions_into_sorter(
document_id,
&word_pair_proximity,
&mut word_pair_proximity_docids_sorter,
)?;
word_pair_proximity.clear();
word_positions.clear();
}
// drain the proximity window until the head word is considered close to the word we are inserting.
while word_positions.get(0).map_or(false, |(_w, p)| {
positions_proximity(*p as u32, position as u32) > MAX_DISTANCE
}) {
word_positions_into_word_pair_proximity(
&mut word_positions,
&mut word_pair_proximity,
)?;
}
// insert the new word.
let word = std::str::from_utf8(word)?;
word_positions.push((word.to_string(), position));
}
}
if let Some(document_id) = current_document_id {
// We must make sure that don't lose the current document field id
// word count map if we break because we reached the end of the chunk.
let document_word_positions_heap = mem::take(&mut document_word_positions_heap);
while !word_positions.is_empty() {
word_positions_into_word_pair_proximity(&mut word_positions, &mut word_pair_proximity)?;
}
document_word_positions_into_sorter(
document_id,
document_word_positions_heap,
&word_pair_proximity,
&mut word_pair_proximity_docids_sorter,
)?;
}
@ -86,64 +103,13 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
/// close to each other.
fn document_word_positions_into_sorter(
document_id: DocumentId,
mut word_positions_heap: BinaryHeap<PeekedWordPosition<vec::IntoIter<u32>>>,
word_pair_proximity: &HashMap<(String, String), u8>,
word_pair_proximity_docids_sorter: &mut grenad::Sorter<MergeFn>,
) -> Result<()> {
let mut word_pair_proximity = HashMap::new();
let mut ordered_peeked_word_positions = Vec::new();
while !word_positions_heap.is_empty() {
while let Some(peeked_word_position) = word_positions_heap.pop() {
ordered_peeked_word_positions.push(peeked_word_position);
if ordered_peeked_word_positions.len() == 7 {
break;
}
}
if let Some((head, tail)) = ordered_peeked_word_positions.split_first() {
for PeekedWordPosition { word, position, .. } in tail {
let prox = positions_proximity(head.position, *position);
if prox > 0 && prox < MAX_DISTANCE {
word_pair_proximity
.entry((head.word.clone(), word.clone()))
.and_modify(|p| {
*p = cmp::min(*p, prox);
})
.or_insert(prox);
}
}
// Push the tail in the heap.
let tail_iter = ordered_peeked_word_positions.drain(1..);
word_positions_heap.extend(tail_iter);
// Advance the head and push it in the heap.
if let Some(mut head) = ordered_peeked_word_positions.pop() {
if let Some(next_position) = head.iter.next() {
let prox = positions_proximity(head.position, next_position);
if prox > 0 && prox < MAX_DISTANCE {
word_pair_proximity
.entry((head.word.clone(), head.word.clone()))
.and_modify(|p| {
*p = cmp::min(*p, prox);
})
.or_insert(prox);
}
word_positions_heap.push(PeekedWordPosition {
word: head.word,
position: next_position,
iter: head.iter,
});
}
}
}
}
let mut key_buffer = Vec::new();
for ((w1, w2), prox) in word_pair_proximity {
key_buffer.clear();
key_buffer.push(prox as u8);
key_buffer.push(*prox as u8);
key_buffer.extend_from_slice(w1.as_bytes());
key_buffer.push(0);
key_buffer.extend_from_slice(w2.as_bytes());
@ -154,6 +120,23 @@ fn document_word_positions_into_sorter(
Ok(())
}
fn word_positions_into_word_pair_proximity(
word_positions: &mut Vec<(String, u16)>,
word_pair_proximity: &mut HashMap<(String, String), u8>,
) -> Result<()> {
let (head_word, head_position) = word_positions.remove(0);
for (word, position) in word_positions.iter() {
let prox = positions_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);
}
Ok(())
}
struct PeekedWordPosition<I> {
word: String,
position: u32,

13
milli/src/update/index_documents/extract/extract_word_position_docids.rs
View File

@ -1,13 +1,15 @@
use std::fs::File;
use std::io::{self, BufReader};
use obkv::KvReaderU16;
use super::helpers::{
create_sorter, merge_cbo_roaring_bitmaps, read_u32_ne_bytes, sorter_into_reader,
try_split_array_at, GrenadParameters,
create_sorter, merge_cbo_roaring_bitmaps, sorter_into_reader, try_split_array_at,
GrenadParameters,
};
use crate::error::SerializationError;
use crate::index::db_name::DOCID_WORD_POSITIONS;
use crate::{bucketed_position, relative_from_absolute_position, DocumentId, Result};
use crate::{bucketed_position, DocumentId, Result};
/// Extracts the word positions and the documents ids where this word appear.
///
@ -34,15 +36,14 @@ pub fn extract_word_position_docids<R: io::Read + io::Seek>(
let mut key_buffer = Vec::new();
let mut cursor = docid_word_positions.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
let (document_id_bytes, word_bytes) = try_split_array_at(key)
let (document_id_bytes, fid_bytes) = try_split_array_at(key)
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
let document_id = DocumentId::from_be_bytes(document_id_bytes);
for position in read_u32_ne_bytes(value) {
for (position, word_bytes) in KvReaderU16::new(&value).iter() {
key_buffer.clear();
key_buffer.extend_from_slice(word_bytes);
key_buffer.push(0);
let (_, position) = relative_from_absolute_position(position);
let position = bucketed_position(position);
key_buffer.extend_from_slice(&position.to_be_bytes());
word_position_docids_sorter.insert(&key_buffer, document_id.to_ne_bytes())?;

33
milli/src/update/index_documents/extract/mod.rs
View File

@ -176,16 +176,23 @@ pub(crate) fn data_from_obkv_documents(
spawn_extraction_task::<
_,
_,
Vec<(grenad::Reader<BufReader<File>>, grenad::Reader<BufReader<File>>)>,
Vec<(
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
)>,
>(
docid_word_positions_chunks.clone(),
indexer,
lmdb_writer_sx.clone(),
move |doc_word_pos, indexer| extract_word_docids(doc_word_pos, indexer, &exact_attributes),
merge_roaring_bitmaps,
|(word_docids_reader, exact_word_docids_reader)| TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
|(word_docids_reader, exact_word_docids_reader, word_fid_docids_reader)| {
TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
word_fid_docids_reader,
}
},
"word-docids",
);
@ -199,15 +206,15 @@ pub(crate) fn data_from_obkv_documents(
TypedChunk::WordPositionDocids,
"word-position-docids",
);
spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
docid_word_positions_chunks,
indexer,
lmdb_writer_sx.clone(),
extract_word_fid_docids,
merge_cbo_roaring_bitmaps,
TypedChunk::WordFidDocids,
"word-fid-docids",
);
// spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
// docid_word_positions_chunks,
// indexer,
// lmdb_writer_sx.clone(),
// extract_word_fid_docids,
// merge_cbo_roaring_bitmaps,
// TypedChunk::WordFidDocids,
// "word-fid-docids",
// );
spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
docid_fid_facet_strings_chunks,

26
milli/src/update/index_documents/helpers/grenad_helpers.rs
View File

@ -115,6 +115,32 @@ impl MergeableReader for Vec<(grenad::Reader<BufReader<File>>, grenad::Reader<Bu
}
}
impl MergeableReader
for Vec<(
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
)>
{
type Output = (
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
);
fn merge(self, merge_fn: MergeFn, params: &GrenadParameters) -> Result<Self::Output> {
let mut m1 = MergerBuilder::new(merge_fn);
let mut m2 = MergerBuilder::new(merge_fn);
let mut m3 = MergerBuilder::new(merge_fn);
for (r1, r2, r3) in self.into_iter() {
m1.push(r1)?;
m2.push(r2)?;
m3.push(r3)?;
}
Ok((m1.finish(params)?, m2.finish(params)?, m3.finish(params)?))
}
}
struct MergerBuilder<R>(grenad::MergerBuilder<R, MergeFn>);
impl<R: io::Read + io::Seek> MergerBuilder<R> {

14
milli/src/update/index_documents/mod.rs
View File

@ -406,13 +406,23 @@ where
}
let typed_chunk = match result? {
TypedChunk::WordDocids { word_docids_reader, exact_word_docids_reader } => {
TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
word_fid_docids_reader,
} => {
let cloneable_chunk = unsafe { as_cloneable_grenad(&word_docids_reader)? };
word_docids = Some(cloneable_chunk);
let cloneable_chunk =
unsafe { as_cloneable_grenad(&exact_word_docids_reader)? };
exact_word_docids = Some(cloneable_chunk);
TypedChunk::WordDocids { word_docids_reader, exact_word_docids_reader }
let cloneable_chunk = unsafe { as_cloneable_grenad(&word_fid_docids_reader)? };
word_fid_docids = Some(cloneable_chunk);
TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
word_fid_docids_reader,
}
}
TypedChunk::WordPairProximityDocids(chunk) => {
let cloneable_chunk = unsafe { as_cloneable_grenad(&chunk)? };

28
milli/src/update/index_documents/typed_chunk.rs
View File

@ -32,6 +32,7 @@ pub(crate) enum TypedChunk {
WordDocids {
word_docids_reader: grenad::Reader<BufReader<File>>,
exact_word_docids_reader: grenad::Reader<BufReader<File>>,
word_fid_docids_reader: grenad::Reader<BufReader<File>>,
},
WordPositionDocids(grenad::Reader<BufReader<File>>),
WordFidDocids(grenad::Reader<BufReader<File>>),
@ -64,10 +65,15 @@ impl TypedChunk {
TypedChunk::NewDocumentsIds(grenad) => {
format!("NewDocumentsIds {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::WordDocids { word_docids_reader, exact_word_docids_reader } => format!(
"WordDocids {{ word_docids_reader: {}, exact_word_docids_reader: {} }}",
TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
word_fid_docids_reader,
} => format!(
"WordDocids {{ word_docids_reader: {}, exact_word_docids_reader: {}, word_fid_docids_reader: {} }}",
word_docids_reader.len(),
exact_word_docids_reader.len()
exact_word_docids_reader.len(),
word_fid_docids_reader.len()
),
TypedChunk::WordPositionDocids(grenad) => {
format!("WordPositionDocids {{ number_of_entries: {} }}", grenad.len())
@ -138,7 +144,11 @@ pub(crate) fn write_typed_chunk_into_index(
TypedChunk::NewDocumentsIds(documents_ids) => {
return Ok((documents_ids, is_merged_database))
}
TypedChunk::WordDocids { word_docids_reader, exact_word_docids_reader } => {
TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
word_fid_docids_reader,
} => {
let word_docids_iter = unsafe { as_cloneable_grenad(&word_docids_reader) }?;
append_entries_into_database(
word_docids_iter.clone(),
@ -159,6 +169,16 @@ pub(crate) fn write_typed_chunk_into_index(
merge_roaring_bitmaps,
)?;
let word_fid_docids_iter = unsafe { as_cloneable_grenad(&word_fid_docids_reader) }?;
append_entries_into_database(
word_fid_docids_iter,
&index.word_fid_docids,
wtxn,
index_is_empty,
|value, _buffer| Ok(value),
merge_cbo_roaring_bitmaps,
)?;
// create fst from word docids
let fst = merge_word_docids_reader_into_fst(word_docids_iter, exact_word_docids_iter)?;
let db_fst = index.words_fst(wtxn)?;