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Author | SHA1 | Date | |
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066221fd2b | |||
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c63ff5298b | |||
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0f6a0b1ab8 | |||
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178a9802fa | |||
7d546b9c22 | |||
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096d7705c7 | |||
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26ef0b3a07 | |||
20394fda04 | |||
27161bcd05 | |||
04fd44b5e2 | |||
9078e60024 | |||
8fb96b8274 | |||
50ba751244 | |||
f36c36e368 | |||
c2dcd66d32 | |||
d4594306d3 | |||
93d0680903 | |||
01101d55ac |
1
Cargo.lock
generated
1
Cargo.lock
generated
@ -2704,6 +2704,7 @@ dependencies = [
|
||||
"logging_timer",
|
||||
"maplit",
|
||||
"md5",
|
||||
"meili-snap",
|
||||
"memmap2",
|
||||
"mimalloc",
|
||||
"obkv",
|
||||
|
@ -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]
|
||||
|
@ -60,12 +60,16 @@ impl CboRoaringBitmapCodec {
|
||||
/// if the merged values length is under the threshold, values are directly
|
||||
/// serialized in the buffer else a RoaringBitmap is created from the
|
||||
/// values and is serialized in the buffer.
|
||||
pub fn merge_into(slices: &[Cow<[u8]>], buffer: &mut Vec<u8>) -> io::Result<()> {
|
||||
pub fn merge_into<I, A>(slices: I, buffer: &mut Vec<u8>) -> io::Result<()>
|
||||
where
|
||||
I: IntoIterator<Item = A>,
|
||||
A: AsRef<[u8]>,
|
||||
{
|
||||
let mut roaring = RoaringBitmap::new();
|
||||
let mut vec = Vec::new();
|
||||
|
||||
for bytes in slices {
|
||||
if bytes.len() <= THRESHOLD * size_of::<u32>() {
|
||||
if bytes.as_ref().len() <= THRESHOLD * size_of::<u32>() {
|
||||
let mut reader = bytes.as_ref();
|
||||
while let Ok(integer) = reader.read_u32::<NativeEndian>() {
|
||||
vec.push(integer);
|
||||
@ -85,7 +89,7 @@ impl CboRoaringBitmapCodec {
|
||||
}
|
||||
} else {
|
||||
// We can unwrap safely because the vector is sorted upper.
|
||||
let roaring = RoaringBitmap::from_sorted_iter(vec.into_iter()).unwrap();
|
||||
let roaring = RoaringBitmap::from_sorted_iter(vec).unwrap();
|
||||
roaring.serialize_into(buffer)?;
|
||||
}
|
||||
} else {
|
||||
|
@ -119,16 +119,16 @@ pub struct Index {
|
||||
pub(crate) main: PolyDatabase,
|
||||
|
||||
/// A word and all the documents ids containing the word.
|
||||
pub word_docids: Database<Str, RoaringBitmapCodec>,
|
||||
pub word_docids: Database<Str, CboRoaringBitmapCodec>,
|
||||
|
||||
/// A word and all the documents ids containing the word, from attributes for which typos are not allowed.
|
||||
pub exact_word_docids: Database<Str, RoaringBitmapCodec>,
|
||||
pub exact_word_docids: Database<Str, CboRoaringBitmapCodec>,
|
||||
|
||||
/// A prefix of word and all the documents ids containing this prefix.
|
||||
pub word_prefix_docids: Database<Str, RoaringBitmapCodec>,
|
||||
pub word_prefix_docids: Database<Str, CboRoaringBitmapCodec>,
|
||||
|
||||
/// A prefix of word and all the documents ids containing this prefix, from attributes for which typos are not allowed.
|
||||
pub exact_word_prefix_docids: Database<Str, RoaringBitmapCodec>,
|
||||
pub exact_word_prefix_docids: Database<Str, CboRoaringBitmapCodec>,
|
||||
|
||||
/// Maps the proximity between a pair of words with all the docids where this relation appears.
|
||||
pub word_pair_proximity_docids: Database<U8StrStrCodec, CboRoaringBitmapCodec>,
|
||||
|
@ -11,9 +11,7 @@ use super::interner::Interned;
|
||||
use super::Word;
|
||||
use crate::heed_codec::{BytesDecodeOwned, StrBEU16Codec};
|
||||
use crate::update::{merge_cbo_roaring_bitmaps, MergeFn};
|
||||
use crate::{
|
||||
CboRoaringBitmapCodec, CboRoaringBitmapLenCodec, Result, RoaringBitmapCodec, SearchContext,
|
||||
};
|
||||
use crate::{CboRoaringBitmapCodec, CboRoaringBitmapLenCodec, Result, SearchContext};
|
||||
|
||||
/// A cache storing pointers to values in the LMDB databases.
|
||||
///
|
||||
@ -168,7 +166,7 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
merge_cbo_roaring_bitmaps,
|
||||
)
|
||||
}
|
||||
None => DatabaseCache::get_value::<_, _, RoaringBitmapCodec>(
|
||||
None => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
|
||||
self.txn,
|
||||
word,
|
||||
self.word_interner.get(word).as_str(),
|
||||
@ -182,7 +180,7 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
&mut self,
|
||||
word: Interned<String>,
|
||||
) -> Result<Option<RoaringBitmap>> {
|
||||
DatabaseCache::get_value::<_, _, RoaringBitmapCodec>(
|
||||
DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
|
||||
self.txn,
|
||||
word,
|
||||
self.word_interner.get(word).as_str(),
|
||||
@ -230,7 +228,7 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
merge_cbo_roaring_bitmaps,
|
||||
)
|
||||
}
|
||||
None => DatabaseCache::get_value::<_, _, RoaringBitmapCodec>(
|
||||
None => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
|
||||
self.txn,
|
||||
prefix,
|
||||
self.word_interner.get(prefix).as_str(),
|
||||
@ -244,7 +242,7 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
&mut self,
|
||||
prefix: Interned<String>,
|
||||
) -> Result<Option<RoaringBitmap>> {
|
||||
DatabaseCache::get_value::<_, _, RoaringBitmapCodec>(
|
||||
DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
|
||||
self.txn,
|
||||
prefix,
|
||||
self.word_interner.get(prefix).as_str(),
|
||||
|
@ -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;
|
||||
|
104
milli/src/update/del_add.rs
Normal file
104
milli/src/update/del_add.rs
Normal file
@ -0,0 +1,104 @@
|
||||
use obkv::Key;
|
||||
|
||||
pub type KvWriterDelAdd<W> = obkv::KvWriter<W, DelAdd>;
|
||||
pub type KvReaderDelAdd<'a> = obkv::KvReader<'a, DelAdd>;
|
||||
|
||||
/// DelAdd defines the new value to add in the database and old value to delete from the database.
|
||||
///
|
||||
/// Its used in an OBKV to be serialized in grenad files.
|
||||
#[repr(u8)]
|
||||
#[derive(Clone, Copy, PartialOrd, PartialEq, Debug)]
|
||||
pub enum DelAdd {
|
||||
Deletion = 0,
|
||||
Addition = 1,
|
||||
}
|
||||
|
||||
impl Key for DelAdd {
|
||||
const BYTES_SIZE: usize = std::mem::size_of::<DelAdd>();
|
||||
type BYTES = [u8; Self::BYTES_SIZE];
|
||||
|
||||
fn to_be_bytes(&self) -> Self::BYTES {
|
||||
u8::to_be_bytes(*self as u8)
|
||||
}
|
||||
|
||||
fn from_be_bytes(array: Self::BYTES) -> Self {
|
||||
match u8::from_be_bytes(array) {
|
||||
0 => Self::Deletion,
|
||||
1 => Self::Addition,
|
||||
otherwise => unreachable!("DelAdd has only 2 variants, unknown variant: {}", otherwise),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Creates a Kv<K, Kv<DelAdd, value>> from Kv<K, value>
|
||||
///
|
||||
/// if deletion is `true`, the value will be inserted behind a DelAdd::Deletion key.
|
||||
/// if addition is `true`, the value will be inserted behind a DelAdd::Addition key.
|
||||
/// if both deletion and addition are `true, the value will be inserted in both keys.
|
||||
pub fn into_del_add_obkv<K: obkv::Key + PartialOrd>(
|
||||
reader: obkv::KvReader<K>,
|
||||
deletion: bool,
|
||||
addition: bool,
|
||||
buffer: &mut Vec<u8>,
|
||||
) -> Result<(), std::io::Error> {
|
||||
let mut writer = obkv::KvWriter::new(buffer);
|
||||
let mut value_buffer = Vec::new();
|
||||
for (key, value) in reader.iter() {
|
||||
value_buffer.clear();
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut value_buffer);
|
||||
if deletion {
|
||||
value_writer.insert(DelAdd::Deletion, value)?;
|
||||
}
|
||||
if addition {
|
||||
value_writer.insert(DelAdd::Addition, value)?;
|
||||
}
|
||||
value_writer.finish()?;
|
||||
writer.insert(key, &value_buffer)?;
|
||||
}
|
||||
|
||||
writer.finish()
|
||||
}
|
||||
|
||||
/// Creates a Kv<K, Kv<DelAdd, value>> from two Kv<K, value>
|
||||
///
|
||||
/// putting each deletion obkv's keys under an DelAdd::Deletion
|
||||
/// and putting each addition obkv's keys under an DelAdd::Addition
|
||||
pub fn del_add_from_two_obkvs<K: obkv::Key + PartialOrd + Ord>(
|
||||
deletion: obkv::KvReader<K>,
|
||||
addition: obkv::KvReader<K>,
|
||||
buffer: &mut Vec<u8>,
|
||||
) -> Result<(), std::io::Error> {
|
||||
use itertools::merge_join_by;
|
||||
use itertools::EitherOrBoth::{Both, Left, Right};
|
||||
|
||||
let mut writer = obkv::KvWriter::new(buffer);
|
||||
let mut value_buffer = Vec::new();
|
||||
|
||||
for eob in merge_join_by(deletion.iter(), addition.iter(), |(b, _), (u, _)| b.cmp(u)) {
|
||||
value_buffer.clear();
|
||||
match eob {
|
||||
Left((k, v)) => {
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut value_buffer);
|
||||
value_writer.insert(DelAdd::Deletion, v).unwrap();
|
||||
writer.insert(k, value_writer.into_inner()?).unwrap();
|
||||
}
|
||||
Right((k, v)) => {
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut value_buffer);
|
||||
value_writer.insert(DelAdd::Addition, v).unwrap();
|
||||
writer.insert(k, value_writer.into_inner()?).unwrap();
|
||||
}
|
||||
Both((k, deletion), (_, addition)) => {
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut value_buffer);
|
||||
value_writer.insert(DelAdd::Deletion, deletion).unwrap();
|
||||
value_writer.insert(DelAdd::Addition, addition).unwrap();
|
||||
writer.insert(k, value_writer.into_inner()?).unwrap();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
writer.finish()
|
||||
}
|
||||
|
||||
pub fn is_noop_del_add_obkv(del_add: KvReaderDelAdd) -> bool {
|
||||
del_add.get(DelAdd::Deletion) == del_add.get(DelAdd::Addition)
|
||||
}
|
@ -16,9 +16,7 @@ use crate::facet::FacetType;
|
||||
use crate::heed_codec::facet::FieldDocIdFacetCodec;
|
||||
use crate::heed_codec::CboRoaringBitmapCodec;
|
||||
use crate::index::Hnsw;
|
||||
use crate::{
|
||||
ExternalDocumentsIds, FieldId, FieldIdMapMissingEntry, Index, Result, RoaringBitmapCodec, BEU32,
|
||||
};
|
||||
use crate::{ExternalDocumentsIds, FieldId, FieldIdMapMissingEntry, Index, Result, BEU32};
|
||||
|
||||
pub struct DeleteDocuments<'t, 'u, 'i> {
|
||||
wtxn: &'t mut heed::RwTxn<'i, 'u>,
|
||||
@ -495,7 +493,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
|
||||
|
||||
fn remove_from_word_prefix_docids(
|
||||
txn: &mut heed::RwTxn,
|
||||
db: &Database<Str, RoaringBitmapCodec>,
|
||||
db: &Database<Str, CboRoaringBitmapCodec>,
|
||||
to_remove: &RoaringBitmap,
|
||||
) -> Result<fst::Set<Vec<u8>>> {
|
||||
let mut prefixes_to_delete = fst::SetBuilder::memory();
|
||||
@ -523,7 +521,7 @@ fn remove_from_word_prefix_docids(
|
||||
|
||||
fn remove_from_word_docids(
|
||||
txn: &mut heed::RwTxn,
|
||||
db: &heed::Database<Str, RoaringBitmapCodec>,
|
||||
db: &heed::Database<Str, CboRoaringBitmapCodec>,
|
||||
to_remove: &RoaringBitmap,
|
||||
words_to_keep: &mut BTreeSet<String>,
|
||||
words_to_remove: &mut BTreeSet<String>,
|
||||
|
@ -132,6 +132,8 @@ impl<R: std::io::Read + std::io::Seek> FacetsUpdateBulkInner<R> {
|
||||
self.db.delete_range(wtxn, &range).map(drop)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
// TODO the new_data is an Reader<Obkv<Key, Obkv<DelAdd, RoaringBitmap>>>
|
||||
fn update_level0(&mut self, wtxn: &mut RwTxn) -> Result<()> {
|
||||
let new_data = match self.new_data.take() {
|
||||
Some(x) => x,
|
||||
|
@ -114,6 +114,7 @@ pub struct FacetsUpdate<'i> {
|
||||
min_level_size: u8,
|
||||
}
|
||||
impl<'i> FacetsUpdate<'i> {
|
||||
// TODO grenad::Reader<Key, Obkv<DelAdd, RoaringBitmap>>
|
||||
pub fn new(index: &'i Index, facet_type: FacetType, new_data: grenad::Reader<File>) -> Self {
|
||||
let database = match facet_type {
|
||||
FacetType::String => index
|
||||
|
@ -4,18 +4,16 @@ use std::fs::File;
|
||||
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::{
|
||||
absolute_from_relative_position, FieldId, Result, MAX_POSITION_PER_ATTRIBUTE, MAX_WORD_LENGTH,
|
||||
};
|
||||
use crate::update::del_add::{del_add_from_two_obkvs, DelAdd, KvReaderDelAdd};
|
||||
use crate::{FieldId, Result, MAX_POSITION_PER_ATTRIBUTE, MAX_WORD_LENGTH};
|
||||
|
||||
pub type ScriptLanguageDocidsMap = HashMap<(Script, Language), RoaringBitmap>;
|
||||
pub type ScriptLanguageDocidsMap = HashMap<(Script, Language), (RoaringBitmap, RoaringBitmap)>;
|
||||
|
||||
/// Extracts the word and positions where this word appear and
|
||||
/// prefixes it by the document id.
|
||||
@ -38,18 +36,153 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
|
||||
.map_or(MAX_POSITION_PER_ATTRIBUTE, |max| max.min(MAX_POSITION_PER_ATTRIBUTE));
|
||||
let max_memory = indexer.max_memory_by_thread();
|
||||
|
||||
// initialize destination values.
|
||||
let mut documents_ids = RoaringBitmap::new();
|
||||
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,
|
||||
max_memory,
|
||||
);
|
||||
|
||||
let mut buffers = Buffers::default();
|
||||
// initialize buffers.
|
||||
let mut del_buffers = Buffers::default();
|
||||
let mut add_buffers = Buffers::default();
|
||||
let mut key_buffer = Vec::new();
|
||||
let mut value_buffer = Vec::new();
|
||||
|
||||
// initialize tokenizer.
|
||||
let mut builder = tokenizer_builder(stop_words, dictionary, allowed_separators, None);
|
||||
let tokenizer = builder.build();
|
||||
|
||||
// iterate over documents.
|
||||
let mut cursor = obkv_documents.into_cursor()?;
|
||||
while let Some((key, value)) = cursor.move_on_next()? {
|
||||
let document_id = key
|
||||
.try_into()
|
||||
.map(u32::from_be_bytes)
|
||||
.map_err(|_| SerializationError::InvalidNumberSerialization)?;
|
||||
let obkv = KvReader::<FieldId>::new(value);
|
||||
|
||||
// if the searchable fields didn't change, skip the searchable indexing for this document.
|
||||
if !searchable_fields_changed(&KvReader::<FieldId>::new(value), searchable_fields) {
|
||||
continue;
|
||||
}
|
||||
|
||||
documents_ids.push(document_id);
|
||||
|
||||
// Update key buffer prefix.
|
||||
key_buffer.clear();
|
||||
key_buffer.extend_from_slice(&document_id.to_be_bytes());
|
||||
|
||||
// Tokenize deletions and additions in 2 diffferent threads.
|
||||
let (del, add): (Result<_>, Result<_>) = rayon::join(
|
||||
|| {
|
||||
// deletions
|
||||
lang_safe_tokens_from_document(
|
||||
&obkv,
|
||||
searchable_fields,
|
||||
&tokenizer,
|
||||
stop_words,
|
||||
allowed_separators,
|
||||
dictionary,
|
||||
max_positions_per_attributes,
|
||||
DelAdd::Deletion,
|
||||
&mut del_buffers,
|
||||
)
|
||||
},
|
||||
|| {
|
||||
// additions
|
||||
lang_safe_tokens_from_document(
|
||||
&obkv,
|
||||
searchable_fields,
|
||||
&tokenizer,
|
||||
stop_words,
|
||||
allowed_separators,
|
||||
dictionary,
|
||||
max_positions_per_attributes,
|
||||
DelAdd::Addition,
|
||||
&mut add_buffers,
|
||||
)
|
||||
},
|
||||
);
|
||||
|
||||
let (del_obkv, del_script_language_word_count) = del?;
|
||||
let (add_obkv, add_script_language_word_count) = add?;
|
||||
|
||||
// merge deletions and additions.
|
||||
value_buffer.clear();
|
||||
del_add_from_two_obkvs(
|
||||
KvReader::<FieldId>::new(del_obkv),
|
||||
KvReader::<FieldId>::new(add_obkv),
|
||||
&mut value_buffer,
|
||||
)?;
|
||||
|
||||
// write them into the sorter.
|
||||
let obkv = KvReader::<FieldId>::new(value);
|
||||
for (field_id, value) in obkv.iter() {
|
||||
key_buffer.truncate(mem::size_of::<u32>());
|
||||
key_buffer.extend_from_slice(&field_id.to_be_bytes());
|
||||
docid_word_positions_sorter.insert(&key_buffer, value)?;
|
||||
}
|
||||
|
||||
// update script_language_docids deletions.
|
||||
for (script, languages_frequency) in del_script_language_word_count {
|
||||
for (language, _) in languages_frequency {
|
||||
let entry = script_language_docids
|
||||
.entry((script, language))
|
||||
.or_insert_with(|| (RoaringBitmap::new(), RoaringBitmap::new()));
|
||||
entry.0.push(document_id);
|
||||
}
|
||||
}
|
||||
|
||||
// update script_language_docids additions.
|
||||
for (script, languages_frequency) in add_script_language_word_count {
|
||||
for (language, _) in languages_frequency {
|
||||
let entry = script_language_docids
|
||||
.entry((script, language))
|
||||
.or_insert_with(|| (RoaringBitmap::new(), RoaringBitmap::new()));
|
||||
entry.1.push(document_id);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
sorter_into_reader(docid_word_positions_sorter, indexer)
|
||||
.map(|reader| (documents_ids, reader, script_language_docids))
|
||||
}
|
||||
|
||||
/// Check if any searchable fields of a document changed.
|
||||
fn searchable_fields_changed(
|
||||
obkv: &KvReader<FieldId>,
|
||||
searchable_fields: &Option<HashSet<FieldId>>,
|
||||
) -> bool {
|
||||
for (field_id, field_bytes) in obkv.iter() {
|
||||
if searchable_fields.as_ref().map_or(true, |sf| sf.contains(&field_id)) {
|
||||
let del_add = KvReaderDelAdd::new(field_bytes);
|
||||
match (del_add.get(DelAdd::Deletion), del_add.get(DelAdd::Addition)) {
|
||||
// if both fields are None, check the next field.
|
||||
(None, None) => (),
|
||||
// if both contains a value and values are the same, check the next field.
|
||||
(Some(del), Some(add)) if del == add => (),
|
||||
// otherwise the fields are different, return true.
|
||||
_otherwise => return true,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
false
|
||||
}
|
||||
|
||||
/// Factorize tokenizer building.
|
||||
fn tokenizer_builder<'a>(
|
||||
stop_words: Option<&'a fst::Set<&[u8]>>,
|
||||
allowed_separators: Option<&'a [&str]>,
|
||||
dictionary: Option<&'a [&str]>,
|
||||
script_language: Option<&'a HashMap<Script, Vec<Language>>>,
|
||||
) -> TokenizerBuilder<'a, &'a [u8]> {
|
||||
let mut tokenizer_builder = TokenizerBuilder::new();
|
||||
if let Some(stop_words) = stop_words {
|
||||
tokenizer_builder.stop_words(stop_words);
|
||||
@ -60,130 +193,144 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
|
||||
if let Some(separators) = allowed_separators {
|
||||
tokenizer_builder.separators(separators);
|
||||
}
|
||||
let tokenizer = tokenizer_builder.build();
|
||||
|
||||
let mut cursor = obkv_documents.into_cursor()?;
|
||||
while let Some((key, value)) = cursor.move_on_next()? {
|
||||
let document_id = key
|
||||
.try_into()
|
||||
.map(u32::from_be_bytes)
|
||||
.map_err(|_| SerializationError::InvalidNumberSerialization)?;
|
||||
let obkv = KvReader::<FieldId>::new(value);
|
||||
if let Some(script_language) = script_language {
|
||||
tokenizer_builder.allow_list(&script_language);
|
||||
}
|
||||
|
||||
documents_ids.push(document_id);
|
||||
buffers.key_buffer.clear();
|
||||
buffers.key_buffer.extend_from_slice(&document_id.to_be_bytes());
|
||||
tokenizer_builder
|
||||
}
|
||||
|
||||
let mut script_language_word_count = HashMap::new();
|
||||
/// Extract words maped with their positions of a document,
|
||||
/// ensuring no Language detection mistakes was made.
|
||||
fn lang_safe_tokens_from_document<'a>(
|
||||
obkv: &KvReader<FieldId>,
|
||||
searchable_fields: &Option<HashSet<FieldId>>,
|
||||
tokenizer: &Tokenizer,
|
||||
stop_words: Option<&fst::Set<&[u8]>>,
|
||||
allowed_separators: Option<&[&str]>,
|
||||
dictionary: Option<&[&str]>,
|
||||
max_positions_per_attributes: u32,
|
||||
del_add: DelAdd,
|
||||
buffers: &'a mut Buffers,
|
||||
) -> Result<(&'a [u8], HashMap<Script, Vec<(Language, usize)>>)> {
|
||||
let mut script_language_word_count = HashMap::new();
|
||||
|
||||
extract_tokens_from_document(
|
||||
&obkv,
|
||||
searchable_fields,
|
||||
&tokenizer,
|
||||
max_positions_per_attributes,
|
||||
&mut buffers,
|
||||
&mut script_language_word_count,
|
||||
&mut docid_word_positions_sorter,
|
||||
)?;
|
||||
tokens_from_document(
|
||||
&obkv,
|
||||
searchable_fields,
|
||||
&tokenizer,
|
||||
max_positions_per_attributes,
|
||||
del_add,
|
||||
buffers,
|
||||
&mut script_language_word_count,
|
||||
)?;
|
||||
|
||||
// if we detect a potetial mistake in the language detection,
|
||||
// we rerun the extraction forcing the tokenizer to detect the most frequently detected Languages.
|
||||
// context: https://github.com/meilisearch/meilisearch/issues/3565
|
||||
if script_language_word_count
|
||||
.values()
|
||||
.map(Vec::as_slice)
|
||||
.any(potential_language_detection_error)
|
||||
{
|
||||
// build an allow list with the most frequent detected languages in the document.
|
||||
let script_language: HashMap<_, _> =
|
||||
script_language_word_count.iter().filter_map(most_frequent_languages).collect();
|
||||
// if we detect a potetial mistake in the language detection,
|
||||
// we rerun the extraction forcing the tokenizer to detect the most frequently detected Languages.
|
||||
// context: https://github.com/meilisearch/meilisearch/issues/3565
|
||||
if script_language_word_count
|
||||
.values()
|
||||
.map(Vec::as_slice)
|
||||
.any(potential_language_detection_error)
|
||||
{
|
||||
// build an allow list with the most frequent detected languages in the document.
|
||||
let script_language: HashMap<_, _> =
|
||||
script_language_word_count.iter().filter_map(most_frequent_languages).collect();
|
||||
|
||||
// if the allow list is empty, meaning that no Language is considered frequent,
|
||||
// then we don't rerun the extraction.
|
||||
if !script_language.is_empty() {
|
||||
// build a new temporary tokenizer including the allow list.
|
||||
let mut tokenizer_builder = TokenizerBuilder::new();
|
||||
if let Some(stop_words) = stop_words {
|
||||
tokenizer_builder.stop_words(stop_words);
|
||||
}
|
||||
tokenizer_builder.allow_list(&script_language);
|
||||
let tokenizer = tokenizer_builder.build();
|
||||
// if the allow list is empty, meaning that no Language is considered frequent,
|
||||
// then we don't rerun the extraction.
|
||||
if !script_language.is_empty() {
|
||||
// build a new temporary tokenizer including the allow list.
|
||||
let mut builder = tokenizer_builder(
|
||||
stop_words,
|
||||
dictionary,
|
||||
allowed_separators,
|
||||
Some(&script_language),
|
||||
);
|
||||
let tokenizer = builder.build();
|
||||
|
||||
script_language_word_count.clear();
|
||||
script_language_word_count.clear();
|
||||
|
||||
// rerun the extraction.
|
||||
extract_tokens_from_document(
|
||||
&obkv,
|
||||
searchable_fields,
|
||||
&tokenizer,
|
||||
max_positions_per_attributes,
|
||||
&mut buffers,
|
||||
&mut script_language_word_count,
|
||||
&mut docid_word_positions_sorter,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
|
||||
for (script, languages_frequency) in script_language_word_count {
|
||||
for (language, _) in languages_frequency {
|
||||
let entry = script_language_docids
|
||||
.entry((script, language))
|
||||
.or_insert_with(RoaringBitmap::new);
|
||||
entry.push(document_id);
|
||||
}
|
||||
// rerun the extraction.
|
||||
tokens_from_document(
|
||||
&obkv,
|
||||
searchable_fields,
|
||||
&tokenizer,
|
||||
max_positions_per_attributes,
|
||||
del_add,
|
||||
buffers,
|
||||
&mut script_language_word_count,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
|
||||
sorter_into_reader(docid_word_positions_sorter, indexer)
|
||||
.map(|reader| (documents_ids, reader, script_language_docids))
|
||||
Ok((&buffers.obkv_buffer, script_language_word_count))
|
||||
}
|
||||
|
||||
fn extract_tokens_from_document(
|
||||
/// Extract words maped with their positions of a document.
|
||||
fn tokens_from_document<'a>(
|
||||
obkv: &KvReader<FieldId>,
|
||||
searchable_fields: &Option<HashSet<FieldId>>,
|
||||
tokenizer: &Tokenizer,
|
||||
max_positions_per_attributes: u32,
|
||||
buffers: &mut Buffers,
|
||||
del_add: DelAdd,
|
||||
buffers: &'a mut Buffers,
|
||||
script_language_word_count: &mut HashMap<Script, Vec<(Language, usize)>>,
|
||||
docid_word_positions_sorter: &mut grenad::Sorter<MergeFn>,
|
||||
) -> Result<()> {
|
||||
) -> Result<&'a [u8]> {
|
||||
buffers.obkv_buffer.clear();
|
||||
let mut document_writer = KvWriterU16::new(&mut buffers.obkv_buffer);
|
||||
for (field_id, field_bytes) in obkv.iter() {
|
||||
// if field is searchable.
|
||||
if searchable_fields.as_ref().map_or(true, |sf| sf.contains(&field_id)) {
|
||||
let value = serde_json::from_slice(field_bytes).map_err(InternalError::SerdeJson)?;
|
||||
buffers.field_buffer.clear();
|
||||
if let Some(field) = json_to_string(&value, &mut buffers.field_buffer) {
|
||||
let tokens = process_tokens(tokenizer.tokenize(field))
|
||||
.take_while(|(p, _)| (*p as u32) < max_positions_per_attributes);
|
||||
// extract deletion or addition only.
|
||||
if let Some(field_bytes) = KvReaderDelAdd::new(field_bytes).get(del_add) {
|
||||
// parse json.
|
||||
let value =
|
||||
serde_json::from_slice(field_bytes).map_err(InternalError::SerdeJson)?;
|
||||
|
||||
for (index, token) in tokens {
|
||||
// if a language has been detected for the token, we update the counter.
|
||||
if let Some(language) = token.language {
|
||||
let script = token.script;
|
||||
let entry =
|
||||
script_language_word_count.entry(script).or_insert_with(Vec::new);
|
||||
match entry.iter_mut().find(|(l, _)| *l == language) {
|
||||
Some((_, n)) => *n += 1,
|
||||
None => entry.push((language, 1)),
|
||||
// prepare writting destination.
|
||||
buffers.obkv_positions_buffer.clear();
|
||||
let mut writer = KvWriterU16::new(&mut buffers.obkv_positions_buffer);
|
||||
|
||||
// convert json into an unique string.
|
||||
buffers.field_buffer.clear();
|
||||
if let Some(field) = json_to_string(&value, &mut buffers.field_buffer) {
|
||||
// create an iterator of token with their positions.
|
||||
let tokens = process_tokens(tokenizer.tokenize(field))
|
||||
.take_while(|(p, _)| (*p as u32) < max_positions_per_attributes);
|
||||
|
||||
for (index, token) in tokens {
|
||||
// if a language has been detected for the token, we update the counter.
|
||||
if let Some(language) = token.language {
|
||||
let script = token.script;
|
||||
let entry =
|
||||
script_language_word_count.entry(script).or_insert_with(Vec::new);
|
||||
match entry.iter_mut().find(|(l, _)| *l == language) {
|
||||
Some((_, n)) => *n += 1,
|
||||
None => entry.push((language, 1)),
|
||||
}
|
||||
}
|
||||
|
||||
// keep a word only if it is not empty and fit in a LMDB key.
|
||||
let token = token.lemma().trim();
|
||||
if !token.is_empty() && token.len() <= MAX_WORD_LENGTH {
|
||||
let position: u16 = index
|
||||
.try_into()
|
||||
.map_err(|_| SerializationError::InvalidNumberSerialization)?;
|
||||
writer.insert(position, token.as_bytes())?;
|
||||
}
|
||||
}
|
||||
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())?;
|
||||
}
|
||||
// write positions into document.
|
||||
let positions = writer.into_inner()?;
|
||||
document_writer.insert(field_id, positions)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
Ok(document_writer.into_inner().map(|v| v.as_slice())?)
|
||||
}
|
||||
|
||||
/// Transform a JSON value into a string that can be indexed.
|
||||
@ -286,10 +433,10 @@ fn compute_language_frequency_threshold(languages_frequency: &[(Language, usize)
|
||||
|
||||
#[derive(Default)]
|
||||
struct Buffers {
|
||||
// the key buffer is the concatenation of the internal document id with the field id.
|
||||
// The buffer has to be completelly cleared between documents,
|
||||
// and the field id part must be cleared between each field.
|
||||
key_buffer: Vec<u8>,
|
||||
// the field buffer for each fields desserialization, and must be cleared between each field.
|
||||
field_buffer: String,
|
||||
// buffer used to store the value data containing an obkv.
|
||||
obkv_buffer: Vec<u8>,
|
||||
// buffer used to store the value data containing an obkv of tokens with their positions.
|
||||
obkv_positions_buffer: Vec<u8>,
|
||||
}
|
||||
|
@ -4,11 +4,12 @@ use std::io;
|
||||
use heed::{BytesDecode, BytesEncode};
|
||||
|
||||
use super::helpers::{
|
||||
create_sorter, merge_cbo_roaring_bitmaps, sorter_into_reader, GrenadParameters,
|
||||
create_sorter, merge_deladd_cbo_roaring_bitmaps, sorter_into_reader, GrenadParameters,
|
||||
};
|
||||
use crate::heed_codec::facet::{
|
||||
FacetGroupKey, FacetGroupKeyCodec, FieldDocIdFacetF64Codec, OrderedF64Codec,
|
||||
};
|
||||
use crate::update::del_add::{KvReaderDelAdd, KvWriterDelAdd};
|
||||
use crate::Result;
|
||||
|
||||
/// Extracts the facet number and the documents ids where this facet number appear.
|
||||
@ -17,7 +18,7 @@ use crate::Result;
|
||||
/// documents ids from the given chunk of docid facet number positions.
|
||||
#[logging_timer::time]
|
||||
pub fn extract_facet_number_docids<R: io::Read + io::Seek>(
|
||||
docid_fid_facet_number: grenad::Reader<R>,
|
||||
fid_docid_facet_number: grenad::Reader<R>,
|
||||
indexer: GrenadParameters,
|
||||
) -> Result<grenad::Reader<File>> {
|
||||
puffin::profile_function!();
|
||||
@ -26,21 +27,30 @@ pub fn extract_facet_number_docids<R: io::Read + io::Seek>(
|
||||
|
||||
let mut facet_number_docids_sorter = create_sorter(
|
||||
grenad::SortAlgorithm::Unstable,
|
||||
merge_cbo_roaring_bitmaps,
|
||||
merge_deladd_cbo_roaring_bitmaps,
|
||||
indexer.chunk_compression_type,
|
||||
indexer.chunk_compression_level,
|
||||
indexer.max_nb_chunks,
|
||||
max_memory,
|
||||
);
|
||||
|
||||
let mut cursor = docid_fid_facet_number.into_cursor()?;
|
||||
while let Some((key_bytes, _)) = cursor.move_on_next()? {
|
||||
let mut buffer = Vec::new();
|
||||
let mut cursor = fid_docid_facet_number.into_cursor()?;
|
||||
while let Some((key_bytes, deladd_obkv_bytes)) = cursor.move_on_next()? {
|
||||
let (field_id, document_id, number) =
|
||||
FieldDocIdFacetF64Codec::bytes_decode(key_bytes).unwrap();
|
||||
|
||||
let key = FacetGroupKey { field_id, level: 0, left_bound: number };
|
||||
let key_bytes = FacetGroupKeyCodec::<OrderedF64Codec>::bytes_encode(&key).unwrap();
|
||||
facet_number_docids_sorter.insert(key_bytes, document_id.to_ne_bytes())?;
|
||||
|
||||
buffer.clear();
|
||||
let mut obkv = KvWriterDelAdd::new(&mut buffer);
|
||||
for (deladd_key, _) in KvReaderDelAdd::new(deladd_obkv_bytes).iter() {
|
||||
obkv.insert(deladd_key, document_id.to_ne_bytes())?;
|
||||
}
|
||||
obkv.finish()?;
|
||||
|
||||
facet_number_docids_sorter.insert(key_bytes, &buffer)?;
|
||||
}
|
||||
|
||||
sorter_into_reader(facet_number_docids_sorter, indexer)
|
||||
|
@ -1,13 +1,14 @@
|
||||
use std::fs::File;
|
||||
use std::io;
|
||||
use std::{io, str};
|
||||
|
||||
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::StrRefCodec;
|
||||
use crate::update::index_documents::merge_cbo_roaring_bitmaps;
|
||||
use crate::{FieldId, Result, MAX_FACET_VALUE_LENGTH};
|
||||
use crate::update::del_add::{KvReaderDelAdd, KvWriterDelAdd};
|
||||
use crate::update::index_documents::helpers::merge_deladd_cbo_roaring_bitmaps;
|
||||
use crate::{FieldId, Result};
|
||||
|
||||
/// Extracts the facet string and the documents ids where this facet string appear.
|
||||
///
|
||||
@ -24,15 +25,16 @@ pub fn extract_facet_string_docids<R: io::Read + io::Seek>(
|
||||
|
||||
let mut facet_string_docids_sorter = create_sorter(
|
||||
grenad::SortAlgorithm::Stable,
|
||||
merge_cbo_roaring_bitmaps,
|
||||
merge_deladd_cbo_roaring_bitmaps,
|
||||
indexer.chunk_compression_type,
|
||||
indexer.chunk_compression_level,
|
||||
indexer.max_nb_chunks,
|
||||
max_memory,
|
||||
);
|
||||
|
||||
let mut buffer = Vec::new();
|
||||
let mut cursor = docid_fid_facet_string.into_cursor()?;
|
||||
while let Some((key, _original_value_bytes)) = cursor.move_on_next()? {
|
||||
while let Some((key, deladd_original_value_bytes)) = cursor.move_on_next()? {
|
||||
let (field_id_bytes, bytes) = try_split_array_at(key).unwrap();
|
||||
let field_id = FieldId::from_be_bytes(field_id_bytes);
|
||||
|
||||
@ -40,21 +42,17 @@ pub fn extract_facet_string_docids<R: io::Read + io::Seek>(
|
||||
try_split_array_at::<_, 4>(bytes).unwrap();
|
||||
let document_id = u32::from_be_bytes(document_id_bytes);
|
||||
|
||||
let mut normalised_value = std::str::from_utf8(normalized_value_bytes)?;
|
||||
|
||||
let normalised_truncated_value: String;
|
||||
if normalised_value.len() > MAX_FACET_VALUE_LENGTH {
|
||||
normalised_truncated_value = normalised_value
|
||||
.char_indices()
|
||||
.take_while(|(idx, _)| *idx < MAX_FACET_VALUE_LENGTH)
|
||||
.map(|(_, c)| c)
|
||||
.collect();
|
||||
normalised_value = normalised_truncated_value.as_str();
|
||||
}
|
||||
let key = FacetGroupKey { field_id, level: 0, left_bound: normalised_value };
|
||||
let normalized_value = str::from_utf8(normalized_value_bytes)?;
|
||||
let key = FacetGroupKey { field_id, level: 0, left_bound: normalized_value };
|
||||
let key_bytes = FacetGroupKeyCodec::<StrRefCodec>::bytes_encode(&key).unwrap();
|
||||
// document id is encoded in native-endian because of the CBO roaring bitmap codec
|
||||
facet_string_docids_sorter.insert(&key_bytes, document_id.to_ne_bytes())?;
|
||||
|
||||
buffer.clear();
|
||||
let mut obkv = KvWriterDelAdd::new(&mut buffer);
|
||||
for (deladd_key, _) in KvReaderDelAdd::new(deladd_original_value_bytes).iter() {
|
||||
obkv.insert(deladd_key, document_id.to_ne_bytes())?;
|
||||
}
|
||||
obkv.finish()?;
|
||||
facet_string_docids_sorter.insert(&key_bytes, &buffer)?;
|
||||
}
|
||||
|
||||
sorter_into_reader(facet_string_docids_sorter, indexer)
|
||||
|
@ -1,24 +1,36 @@
|
||||
use std::borrow::Cow;
|
||||
use std::collections::{BTreeMap, HashSet};
|
||||
use std::convert::TryInto;
|
||||
use std::fs::File;
|
||||
use std::io;
|
||||
use std::mem::size_of;
|
||||
use std::result::Result as StdResult;
|
||||
|
||||
use grenad::Sorter;
|
||||
use heed::zerocopy::AsBytes;
|
||||
use heed::BytesEncode;
|
||||
use itertools::EitherOrBoth;
|
||||
use ordered_float::OrderedFloat;
|
||||
use roaring::RoaringBitmap;
|
||||
use serde_json::{from_slice, Value};
|
||||
use FilterableValues::{Empty, Null, Values};
|
||||
|
||||
use super::helpers::{create_sorter, keep_first, sorter_into_reader, GrenadParameters};
|
||||
use crate::error::InternalError;
|
||||
use crate::facet::value_encoding::f64_into_bytes;
|
||||
use crate::update::del_add::{DelAdd, KvWriterDelAdd};
|
||||
use crate::update::index_documents::{create_writer, writer_into_reader};
|
||||
use crate::{CboRoaringBitmapCodec, DocumentId, FieldId, Result, BEU32, MAX_FACET_VALUE_LENGTH};
|
||||
use crate::{
|
||||
CboRoaringBitmapCodec, DocumentId, Error, FieldId, Result, BEU32, MAX_FACET_VALUE_LENGTH,
|
||||
};
|
||||
|
||||
/// The length of the elements that are always in the buffer when inserting new values.
|
||||
const TRUNCATE_SIZE: usize = size_of::<FieldId>() + size_of::<DocumentId>();
|
||||
|
||||
/// The extracted facet values stored in grenad files by type.
|
||||
pub struct ExtractedFacetValues {
|
||||
pub docid_fid_facet_numbers_chunk: grenad::Reader<File>,
|
||||
pub docid_fid_facet_strings_chunk: grenad::Reader<File>,
|
||||
pub fid_docid_facet_numbers_chunk: grenad::Reader<File>,
|
||||
pub fid_docid_facet_strings_chunk: grenad::Reader<File>,
|
||||
pub fid_facet_is_null_docids_chunk: grenad::Reader<File>,
|
||||
pub fid_facet_is_empty_docids_chunk: grenad::Reader<File>,
|
||||
pub fid_facet_exists_docids_chunk: grenad::Reader<File>,
|
||||
@ -58,71 +70,150 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
|
||||
max_memory.map(|m| m / 2),
|
||||
);
|
||||
|
||||
let mut facet_exists_docids = BTreeMap::<FieldId, RoaringBitmap>::new();
|
||||
let mut facet_is_null_docids = BTreeMap::<FieldId, RoaringBitmap>::new();
|
||||
let mut facet_is_empty_docids = BTreeMap::<FieldId, RoaringBitmap>::new();
|
||||
// The tuples represents the Del and Add side for a bitmap
|
||||
let mut facet_exists_docids = BTreeMap::<FieldId, (RoaringBitmap, RoaringBitmap)>::new();
|
||||
let mut facet_is_null_docids = BTreeMap::<FieldId, (RoaringBitmap, RoaringBitmap)>::new();
|
||||
let mut facet_is_empty_docids = BTreeMap::<FieldId, (RoaringBitmap, RoaringBitmap)>::new();
|
||||
|
||||
// We create two buffer for mutable ref issues with closures.
|
||||
let mut numbers_key_buffer = Vec::new();
|
||||
let mut strings_key_buffer = Vec::new();
|
||||
|
||||
let mut key_buffer = Vec::new();
|
||||
let mut cursor = obkv_documents.into_cursor()?;
|
||||
while let Some((docid_bytes, value)) = cursor.move_on_next()? {
|
||||
let obkv = obkv::KvReader::new(value);
|
||||
|
||||
for (field_id, field_bytes) in obkv.iter() {
|
||||
if faceted_fields.contains(&field_id) {
|
||||
key_buffer.clear();
|
||||
numbers_key_buffer.clear();
|
||||
strings_key_buffer.clear();
|
||||
|
||||
// Set key to the field_id
|
||||
// Note: this encoding is consistent with FieldIdCodec
|
||||
key_buffer.extend_from_slice(&field_id.to_be_bytes());
|
||||
numbers_key_buffer.extend_from_slice(&field_id.to_be_bytes());
|
||||
strings_key_buffer.extend_from_slice(&field_id.to_be_bytes());
|
||||
|
||||
// Here, we know already that the document must be added to the “field id exists” database
|
||||
let document: [u8; 4] = docid_bytes[..4].try_into().ok().unwrap();
|
||||
let document = BEU32::from(document).get();
|
||||
|
||||
facet_exists_docids.entry(field_id).or_default().insert(document);
|
||||
|
||||
// For the other extraction tasks, prefix the key with the field_id and the document_id
|
||||
key_buffer.extend_from_slice(docid_bytes);
|
||||
numbers_key_buffer.extend_from_slice(docid_bytes);
|
||||
strings_key_buffer.extend_from_slice(docid_bytes);
|
||||
|
||||
let value = from_slice(field_bytes).map_err(InternalError::SerdeJson)?;
|
||||
let del_add_obkv = obkv::KvReader::new(field_bytes);
|
||||
let del_value = match del_add_obkv.get(DelAdd::Deletion) {
|
||||
Some(bytes) => from_slice(bytes).map_err(InternalError::SerdeJson)?,
|
||||
None => None,
|
||||
};
|
||||
let add_value = match del_add_obkv.get(DelAdd::Addition) {
|
||||
Some(bytes) => from_slice(bytes).map_err(InternalError::SerdeJson)?,
|
||||
None => None,
|
||||
};
|
||||
|
||||
match extract_facet_values(
|
||||
&value,
|
||||
geo_fields_ids.map_or(false, |(lat, lng)| field_id == lat || field_id == lng),
|
||||
) {
|
||||
FilterableValues::Null => {
|
||||
facet_is_null_docids.entry(field_id).or_default().insert(document);
|
||||
}
|
||||
FilterableValues::Empty => {
|
||||
facet_is_empty_docids.entry(field_id).or_default().insert(document);
|
||||
}
|
||||
FilterableValues::Values { numbers, strings } => {
|
||||
// insert facet numbers in sorter
|
||||
for number in numbers {
|
||||
key_buffer.truncate(size_of::<FieldId>() + size_of::<DocumentId>());
|
||||
if let Some(value_bytes) = f64_into_bytes(number) {
|
||||
key_buffer.extend_from_slice(&value_bytes);
|
||||
key_buffer.extend_from_slice(&number.to_be_bytes());
|
||||
// We insert the document id on the Del and the Add side if the field exists.
|
||||
let (ref mut del_exists, ref mut add_exists) =
|
||||
facet_exists_docids.entry(field_id).or_default();
|
||||
let (ref mut del_is_null, ref mut add_is_null) =
|
||||
facet_is_null_docids.entry(field_id).or_default();
|
||||
let (ref mut del_is_empty, ref mut add_is_empty) =
|
||||
facet_is_empty_docids.entry(field_id).or_default();
|
||||
|
||||
fid_docid_facet_numbers_sorter
|
||||
.insert(&key_buffer, ().as_bytes())?;
|
||||
}
|
||||
if del_value.is_some() {
|
||||
del_exists.insert(document);
|
||||
}
|
||||
if add_value.is_some() {
|
||||
add_exists.insert(document);
|
||||
}
|
||||
|
||||
let geo_support =
|
||||
geo_fields_ids.map_or(false, |(lat, lng)| field_id == lat || field_id == lng);
|
||||
let del_filterable_values =
|
||||
del_value.map(|value| extract_facet_values(&value, geo_support));
|
||||
let add_filterable_values =
|
||||
add_value.map(|value| extract_facet_values(&value, geo_support));
|
||||
|
||||
// Those closures are just here to simplify things a bit.
|
||||
let mut insert_numbers_diff = |del_numbers, add_numbers| {
|
||||
insert_numbers_diff(
|
||||
&mut fid_docid_facet_numbers_sorter,
|
||||
&mut numbers_key_buffer,
|
||||
del_numbers,
|
||||
add_numbers,
|
||||
)
|
||||
};
|
||||
let mut insert_strings_diff = |del_strings, add_strings| {
|
||||
insert_strings_diff(
|
||||
&mut fid_docid_facet_strings_sorter,
|
||||
&mut strings_key_buffer,
|
||||
del_strings,
|
||||
add_strings,
|
||||
)
|
||||
};
|
||||
|
||||
match (del_filterable_values, add_filterable_values) {
|
||||
(None, None) => (),
|
||||
(Some(del_filterable_values), None) => match del_filterable_values {
|
||||
Null => {
|
||||
del_is_null.insert(document);
|
||||
}
|
||||
|
||||
// insert normalized and original facet string in sorter
|
||||
for (normalized, original) in
|
||||
strings.into_iter().filter(|(n, _)| !n.is_empty())
|
||||
{
|
||||
let normalized_truncated_value: String = normalized
|
||||
.char_indices()
|
||||
.take_while(|(idx, _)| idx + 4 < MAX_FACET_VALUE_LENGTH)
|
||||
.map(|(_, c)| c)
|
||||
.collect();
|
||||
|
||||
key_buffer.truncate(size_of::<FieldId>() + size_of::<DocumentId>());
|
||||
key_buffer.extend_from_slice(normalized_truncated_value.as_bytes());
|
||||
fid_docid_facet_strings_sorter
|
||||
.insert(&key_buffer, original.as_bytes())?;
|
||||
Empty => {
|
||||
del_is_empty.insert(document);
|
||||
}
|
||||
Values { numbers, strings } => {
|
||||
insert_numbers_diff(numbers, vec![])?;
|
||||
insert_strings_diff(strings, vec![])?;
|
||||
}
|
||||
},
|
||||
(None, Some(add_filterable_values)) => match add_filterable_values {
|
||||
Null => {
|
||||
add_is_null.insert(document);
|
||||
}
|
||||
Empty => {
|
||||
add_is_empty.insert(document);
|
||||
}
|
||||
Values { numbers, strings } => {
|
||||
insert_numbers_diff(vec![], numbers)?;
|
||||
insert_strings_diff(vec![], strings)?;
|
||||
}
|
||||
},
|
||||
(Some(del_filterable_values), Some(add_filterable_values)) => {
|
||||
match (del_filterable_values, add_filterable_values) {
|
||||
(Null, Null) | (Empty, Empty) => (),
|
||||
(Null, Empty) => {
|
||||
del_is_null.insert(document);
|
||||
add_is_empty.insert(document);
|
||||
}
|
||||
(Empty, Null) => {
|
||||
del_is_empty.insert(document);
|
||||
add_is_null.insert(document);
|
||||
}
|
||||
(Null, Values { numbers, strings }) => {
|
||||
insert_numbers_diff(vec![], numbers)?;
|
||||
insert_strings_diff(vec![], strings)?;
|
||||
del_is_null.insert(document);
|
||||
}
|
||||
(Empty, Values { numbers, strings }) => {
|
||||
insert_numbers_diff(vec![], numbers)?;
|
||||
insert_strings_diff(vec![], strings)?;
|
||||
del_is_empty.insert(document);
|
||||
}
|
||||
(Values { numbers, strings }, Null) => {
|
||||
add_is_null.insert(document);
|
||||
insert_numbers_diff(numbers, vec![])?;
|
||||
insert_strings_diff(strings, vec![])?;
|
||||
}
|
||||
(Values { numbers, strings }, Empty) => {
|
||||
add_is_empty.insert(document);
|
||||
insert_numbers_diff(numbers, vec![])?;
|
||||
insert_strings_diff(strings, vec![])?;
|
||||
}
|
||||
(
|
||||
Values { numbers: del_numbers, strings: del_strings },
|
||||
Values { numbers: add_numbers, strings: add_strings },
|
||||
) => {
|
||||
insert_numbers_diff(del_numbers, add_numbers)?;
|
||||
insert_strings_diff(del_strings, add_strings)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -130,14 +221,15 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
|
||||
}
|
||||
}
|
||||
|
||||
let mut buffer = Vec::new();
|
||||
let mut facet_exists_docids_writer = create_writer(
|
||||
indexer.chunk_compression_type,
|
||||
indexer.chunk_compression_level,
|
||||
tempfile::tempfile()?,
|
||||
);
|
||||
for (fid, bitmap) in facet_exists_docids.into_iter() {
|
||||
let bitmap_bytes = CboRoaringBitmapCodec::bytes_encode(&bitmap).unwrap();
|
||||
facet_exists_docids_writer.insert(fid.to_be_bytes(), &bitmap_bytes)?;
|
||||
for (fid, (del_bitmap, add_bitmap)) in facet_exists_docids.into_iter() {
|
||||
deladd_obkv_cbo_roaring_bitmaps(&mut buffer, &del_bitmap, &add_bitmap)?;
|
||||
facet_exists_docids_writer.insert(fid.to_be_bytes(), &buffer)?;
|
||||
}
|
||||
let facet_exists_docids_reader = writer_into_reader(facet_exists_docids_writer)?;
|
||||
|
||||
@ -146,9 +238,9 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
|
||||
indexer.chunk_compression_level,
|
||||
tempfile::tempfile()?,
|
||||
);
|
||||
for (fid, bitmap) in facet_is_null_docids.into_iter() {
|
||||
let bitmap_bytes = CboRoaringBitmapCodec::bytes_encode(&bitmap).unwrap();
|
||||
facet_is_null_docids_writer.insert(fid.to_be_bytes(), &bitmap_bytes)?;
|
||||
for (fid, (del_bitmap, add_bitmap)) in facet_is_null_docids.into_iter() {
|
||||
deladd_obkv_cbo_roaring_bitmaps(&mut buffer, &del_bitmap, &add_bitmap)?;
|
||||
facet_is_null_docids_writer.insert(fid.to_be_bytes(), &buffer)?;
|
||||
}
|
||||
let facet_is_null_docids_reader = writer_into_reader(facet_is_null_docids_writer)?;
|
||||
|
||||
@ -157,21 +249,156 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
|
||||
indexer.chunk_compression_level,
|
||||
tempfile::tempfile()?,
|
||||
);
|
||||
for (fid, bitmap) in facet_is_empty_docids.into_iter() {
|
||||
let bitmap_bytes = CboRoaringBitmapCodec::bytes_encode(&bitmap).unwrap();
|
||||
facet_is_empty_docids_writer.insert(fid.to_be_bytes(), &bitmap_bytes)?;
|
||||
for (fid, (del_bitmap, add_bitmap)) in facet_is_empty_docids.into_iter() {
|
||||
deladd_obkv_cbo_roaring_bitmaps(&mut buffer, &del_bitmap, &add_bitmap)?;
|
||||
facet_is_empty_docids_writer.insert(fid.to_be_bytes(), &buffer)?;
|
||||
}
|
||||
let facet_is_empty_docids_reader = writer_into_reader(facet_is_empty_docids_writer)?;
|
||||
|
||||
Ok(ExtractedFacetValues {
|
||||
docid_fid_facet_numbers_chunk: sorter_into_reader(fid_docid_facet_numbers_sorter, indexer)?,
|
||||
docid_fid_facet_strings_chunk: sorter_into_reader(fid_docid_facet_strings_sorter, indexer)?,
|
||||
fid_docid_facet_numbers_chunk: sorter_into_reader(fid_docid_facet_numbers_sorter, indexer)?,
|
||||
fid_docid_facet_strings_chunk: sorter_into_reader(fid_docid_facet_strings_sorter, indexer)?,
|
||||
fid_facet_is_null_docids_chunk: facet_is_null_docids_reader,
|
||||
fid_facet_is_empty_docids_chunk: facet_is_empty_docids_reader,
|
||||
fid_facet_exists_docids_chunk: facet_exists_docids_reader,
|
||||
})
|
||||
}
|
||||
|
||||
/// Generates a vector of bytes containing a DelAdd obkv with two bitmaps.
|
||||
fn deladd_obkv_cbo_roaring_bitmaps(
|
||||
buffer: &mut Vec<u8>,
|
||||
del_bitmap: &RoaringBitmap,
|
||||
add_bitmap: &RoaringBitmap,
|
||||
) -> io::Result<()> {
|
||||
buffer.clear();
|
||||
let mut obkv = KvWriterDelAdd::new(buffer);
|
||||
let del_bitmap_bytes = CboRoaringBitmapCodec::bytes_encode(del_bitmap).unwrap();
|
||||
let add_bitmap_bytes = CboRoaringBitmapCodec::bytes_encode(add_bitmap).unwrap();
|
||||
obkv.insert(DelAdd::Deletion, del_bitmap_bytes)?;
|
||||
obkv.insert(DelAdd::Addition, add_bitmap_bytes)?;
|
||||
obkv.finish()
|
||||
}
|
||||
|
||||
/// Truncates a string to the biggest valid LMDB key size.
|
||||
fn truncate_string(s: String) -> String {
|
||||
s.char_indices()
|
||||
.take_while(|(idx, _)| idx + 4 < MAX_FACET_VALUE_LENGTH)
|
||||
.map(|(_, c)| c)
|
||||
.collect()
|
||||
}
|
||||
|
||||
/// Computes the diff between both Del and Add numbers and
|
||||
/// only inserts the parts that differ in the sorter.
|
||||
fn insert_numbers_diff<MF>(
|
||||
fid_docid_facet_numbers_sorter: &mut Sorter<MF>,
|
||||
key_buffer: &mut Vec<u8>,
|
||||
mut del_numbers: Vec<f64>,
|
||||
mut add_numbers: Vec<f64>,
|
||||
) -> Result<()>
|
||||
where
|
||||
MF: for<'a> Fn(&[u8], &[Cow<'a, [u8]>]) -> StdResult<Cow<'a, [u8]>, Error>,
|
||||
{
|
||||
// We sort and dedup the float numbers
|
||||
del_numbers.sort_unstable_by_key(|f| OrderedFloat(*f));
|
||||
add_numbers.sort_unstable_by_key(|f| OrderedFloat(*f));
|
||||
del_numbers.dedup_by_key(|f| OrderedFloat(*f));
|
||||
add_numbers.dedup_by_key(|f| OrderedFloat(*f));
|
||||
|
||||
let merged_numbers_iter = itertools::merge_join_by(
|
||||
del_numbers.into_iter().map(OrderedFloat),
|
||||
add_numbers.into_iter().map(OrderedFloat),
|
||||
|del, add| del.cmp(add),
|
||||
);
|
||||
|
||||
// insert facet numbers in sorter
|
||||
for eob in merged_numbers_iter {
|
||||
key_buffer.truncate(TRUNCATE_SIZE);
|
||||
match eob {
|
||||
EitherOrBoth::Both(_, _) => (), // no need to touch anything
|
||||
EitherOrBoth::Left(OrderedFloat(number)) => {
|
||||
if let Some(value_bytes) = f64_into_bytes(number) {
|
||||
key_buffer.extend_from_slice(&value_bytes);
|
||||
key_buffer.extend_from_slice(&number.to_be_bytes());
|
||||
|
||||
// We insert only the Del part of the Obkv to inform
|
||||
// that we only want to remove all those numbers.
|
||||
let mut obkv = KvWriterDelAdd::memory();
|
||||
obkv.insert(DelAdd::Deletion, ().as_bytes())?;
|
||||
let bytes = obkv.into_inner()?;
|
||||
fid_docid_facet_numbers_sorter.insert(&key_buffer, bytes)?;
|
||||
}
|
||||
}
|
||||
EitherOrBoth::Right(OrderedFloat(number)) => {
|
||||
if let Some(value_bytes) = f64_into_bytes(number) {
|
||||
key_buffer.extend_from_slice(&value_bytes);
|
||||
key_buffer.extend_from_slice(&number.to_be_bytes());
|
||||
|
||||
// We insert only the Del part of the Obkv to inform
|
||||
// that we only want to remove all those numbers.
|
||||
let mut obkv = KvWriterDelAdd::memory();
|
||||
obkv.insert(DelAdd::Addition, ().as_bytes())?;
|
||||
let bytes = obkv.into_inner()?;
|
||||
fid_docid_facet_numbers_sorter.insert(&key_buffer, bytes)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Computes the diff between both Del and Add strings and
|
||||
/// only inserts the parts that differ in the sorter.
|
||||
fn insert_strings_diff<MF>(
|
||||
fid_docid_facet_strings_sorter: &mut Sorter<MF>,
|
||||
key_buffer: &mut Vec<u8>,
|
||||
mut del_strings: Vec<(String, String)>,
|
||||
mut add_strings: Vec<(String, String)>,
|
||||
) -> Result<()>
|
||||
where
|
||||
MF: for<'a> Fn(&[u8], &[Cow<'a, [u8]>]) -> StdResult<Cow<'a, [u8]>, Error>,
|
||||
{
|
||||
// We sort and dedup the normalized and original strings
|
||||
del_strings.sort_unstable();
|
||||
add_strings.sort_unstable();
|
||||
del_strings.dedup();
|
||||
add_strings.dedup();
|
||||
|
||||
let merged_strings_iter = itertools::merge_join_by(
|
||||
del_strings.into_iter().filter(|(n, _)| !n.is_empty()),
|
||||
add_strings.into_iter().filter(|(n, _)| !n.is_empty()),
|
||||
|del, add| del.cmp(add),
|
||||
);
|
||||
|
||||
// insert normalized and original facet string in sorter
|
||||
for eob in merged_strings_iter {
|
||||
key_buffer.truncate(TRUNCATE_SIZE);
|
||||
match eob {
|
||||
EitherOrBoth::Both(_, _) => (), // no need to touch anything
|
||||
EitherOrBoth::Left((normalized, original)) => {
|
||||
let truncated = truncate_string(normalized);
|
||||
key_buffer.extend_from_slice(truncated.as_bytes());
|
||||
|
||||
let mut obkv = KvWriterDelAdd::memory();
|
||||
obkv.insert(DelAdd::Deletion, original)?;
|
||||
let bytes = obkv.into_inner()?;
|
||||
fid_docid_facet_strings_sorter.insert(&key_buffer, bytes)?;
|
||||
}
|
||||
EitherOrBoth::Right((normalized, original)) => {
|
||||
let truncated = truncate_string(normalized);
|
||||
key_buffer.extend_from_slice(truncated.as_bytes());
|
||||
|
||||
let mut obkv = KvWriterDelAdd::memory();
|
||||
obkv.insert(DelAdd::Addition, original)?;
|
||||
let bytes = obkv.into_inner()?;
|
||||
fid_docid_facet_strings_sorter.insert(&key_buffer, bytes)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Represent what a document field contains.
|
||||
enum FilterableValues {
|
||||
/// Corresponds to the JSON `null` value.
|
||||
@ -182,6 +409,7 @@ enum FilterableValues {
|
||||
Values { numbers: Vec<f64>, strings: Vec<(String, String)> },
|
||||
}
|
||||
|
||||
/// Extracts the facet values of a JSON field.
|
||||
fn extract_facet_values(value: &Value, geo_field: bool) -> FilterableValues {
|
||||
fn inner_extract_facet_values(
|
||||
value: &Value,
|
||||
|
@ -1,16 +1,17 @@
|
||||
use std::collections::HashMap;
|
||||
use std::fs::File;
|
||||
use std::io;
|
||||
|
||||
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)
|
||||
}
|
||||
|
@ -1,18 +1,20 @@
|
||||
use std::collections::HashSet;
|
||||
use std::collections::{BTreeSet, HashSet};
|
||||
use std::fs::File;
|
||||
use std::io;
|
||||
use std::iter::FromIterator;
|
||||
|
||||
use roaring::RoaringBitmap;
|
||||
use heed::BytesDecode;
|
||||
use obkv::KvReaderU16;
|
||||
|
||||
use super::helpers::{
|
||||
create_sorter, merge_roaring_bitmaps, serialize_roaring_bitmap, sorter_into_reader,
|
||||
try_split_array_at, GrenadParameters,
|
||||
create_sorter, create_writer, merge_deladd_cbo_roaring_bitmaps, sorter_into_reader,
|
||||
try_split_array_at, writer_into_reader, GrenadParameters,
|
||||
};
|
||||
use crate::error::SerializationError;
|
||||
use crate::heed_codec::StrBEU16Codec;
|
||||
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::del_add::{is_noop_del_add_obkv, DelAdd, KvReaderDelAdd, KvWriterDelAdd};
|
||||
use crate::update::MergeFn;
|
||||
use crate::{DocumentId, FieldId, Result};
|
||||
|
||||
/// Extracts the word and the documents ids where this word appear.
|
||||
///
|
||||
@ -26,65 +28,148 @@ 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<File>, grenad::Reader<File>)> {
|
||||
) -> Result<(grenad::Reader<File>, grenad::Reader<File>, grenad::Reader<File>)> {
|
||||
puffin::profile_function!();
|
||||
|
||||
let max_memory = indexer.max_memory_by_thread();
|
||||
|
||||
let mut word_docids_sorter = create_sorter(
|
||||
let mut word_fid_docids_sorter = create_sorter(
|
||||
grenad::SortAlgorithm::Unstable,
|
||||
merge_roaring_bitmaps,
|
||||
merge_deladd_cbo_roaring_bitmaps,
|
||||
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 key_buffer = Vec::new();
|
||||
let mut del_words = BTreeSet::new();
|
||||
let mut add_words = BTreeSet::new();
|
||||
let mut cursor = docid_word_positions.into_cursor()?;
|
||||
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(fid_bytes)
|
||||
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
|
||||
let document_id = u32::from_be_bytes(document_id_bytes);
|
||||
let fid = u16::from_be_bytes(fid_bytes);
|
||||
|
||||
let del_add_reader = KvReaderDelAdd::new(&value);
|
||||
// extract all unique words to remove.
|
||||
if let Some(deletion) = del_add_reader.get(DelAdd::Deletion) {
|
||||
for (_pos, word) in KvReaderU16::new(&deletion).iter() {
|
||||
del_words.insert(word.to_vec());
|
||||
}
|
||||
}
|
||||
|
||||
// extract all unique additional words.
|
||||
if let Some(addition) = del_add_reader.get(DelAdd::Addition) {
|
||||
for (_pos, word) in KvReaderU16::new(&addition).iter() {
|
||||
add_words.insert(word.to_vec());
|
||||
}
|
||||
}
|
||||
|
||||
words_into_sorter(
|
||||
document_id,
|
||||
fid,
|
||||
&mut key_buffer,
|
||||
&del_words,
|
||||
&add_words,
|
||||
&mut word_fid_docids_sorter,
|
||||
)?;
|
||||
|
||||
del_words.clear();
|
||||
add_words.clear();
|
||||
}
|
||||
|
||||
let mut word_docids_sorter = create_sorter(
|
||||
grenad::SortAlgorithm::Unstable,
|
||||
merge_deladd_cbo_roaring_bitmaps,
|
||||
indexer.chunk_compression_type,
|
||||
indexer.chunk_compression_level,
|
||||
indexer.max_nb_chunks,
|
||||
max_memory.map(|x| x / 3),
|
||||
);
|
||||
|
||||
let mut exact_word_docids_sorter = create_sorter(
|
||||
grenad::SortAlgorithm::Unstable,
|
||||
merge_roaring_bitmaps,
|
||||
merge_deladd_cbo_roaring_bitmaps,
|
||||
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 value_buffer = Vec::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)
|
||||
let mut word_fid_docids_writer = create_writer(
|
||||
indexer.chunk_compression_type,
|
||||
indexer.chunk_compression_level,
|
||||
tempfile::tempfile()?,
|
||||
);
|
||||
|
||||
let mut iter = word_fid_docids_sorter.into_stream_merger_iter()?;
|
||||
// TODO: replace sorters by writers by accumulating values into a buffer before inserting them.
|
||||
while let Some((key, value)) = iter.next()? {
|
||||
// only keep the value if their is a change to apply in the DB.
|
||||
if !is_noop_del_add_obkv(KvReaderDelAdd::new(value)) {
|
||||
word_fid_docids_writer.insert(key, value)?;
|
||||
}
|
||||
|
||||
let (word, fid) = StrBEU16Codec::bytes_decode(key)
|
||||
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
|
||||
let document_id = u32::from_be_bytes(document_id_bytes);
|
||||
|
||||
let bitmap = RoaringBitmap::from_iter(Some(document_id));
|
||||
serialize_roaring_bitmap(&bitmap, &mut value_buffer)?;
|
||||
|
||||
// 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)?;
|
||||
// every words contained in an attribute set to exact must be pushed in the exact_words list.
|
||||
if exact_attributes.contains(&fid) {
|
||||
exact_word_docids_sorter.insert(word.as_bytes(), &value)?;
|
||||
} 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;
|
||||
}
|
||||
}
|
||||
word_docids_sorter.insert(word.as_bytes(), &value)?;
|
||||
}
|
||||
}
|
||||
|
||||
Ok((
|
||||
sorter_into_reader(word_docids_sorter, indexer)?,
|
||||
sorter_into_reader(exact_word_docids_sorter, indexer)?,
|
||||
writer_into_reader(word_fid_docids_writer)?,
|
||||
))
|
||||
}
|
||||
|
||||
fn words_into_sorter(
|
||||
document_id: DocumentId,
|
||||
fid: FieldId,
|
||||
key_buffer: &mut Vec<u8>,
|
||||
del_words: &BTreeSet<Vec<u8>>,
|
||||
add_words: &BTreeSet<Vec<u8>>,
|
||||
word_fid_docids_sorter: &mut grenad::Sorter<MergeFn>,
|
||||
) -> Result<()> {
|
||||
puffin::profile_function!();
|
||||
|
||||
use itertools::merge_join_by;
|
||||
use itertools::EitherOrBoth::{Both, Left, Right};
|
||||
|
||||
let mut buffer = Vec::new();
|
||||
for eob in merge_join_by(del_words.iter(), add_words.iter(), |d, a| d.cmp(a)) {
|
||||
buffer.clear();
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut buffer);
|
||||
let word_bytes = match eob {
|
||||
Left(word_bytes) => {
|
||||
value_writer.insert(DelAdd::Deletion, document_id.to_ne_bytes()).unwrap();
|
||||
word_bytes
|
||||
}
|
||||
Right(word_bytes) => {
|
||||
value_writer.insert(DelAdd::Addition, document_id.to_ne_bytes()).unwrap();
|
||||
word_bytes
|
||||
}
|
||||
Both(word_bytes, _) => {
|
||||
value_writer.insert(DelAdd::Deletion, document_id.to_ne_bytes()).unwrap();
|
||||
value_writer.insert(DelAdd::Addition, document_id.to_ne_bytes()).unwrap();
|
||||
word_bytes
|
||||
}
|
||||
};
|
||||
|
||||
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(&key_buffer, value_writer.into_inner().unwrap())?;
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
@ -1,51 +0,0 @@
|
||||
use std::fs::File;
|
||||
use std::io;
|
||||
|
||||
use super::helpers::{
|
||||
create_sorter, merge_cbo_roaring_bitmaps, read_u32_ne_bytes, 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, Result};
|
||||
|
||||
/// Extracts the word, field id, and the documents ids where this word appear at this field id.
|
||||
#[logging_timer::time]
|
||||
pub fn extract_word_fid_docids<R: io::Read + io::Seek>(
|
||||
docid_word_positions: grenad::Reader<R>,
|
||||
indexer: GrenadParameters,
|
||||
) -> Result<grenad::Reader<File>> {
|
||||
puffin::profile_function!();
|
||||
|
||||
let max_memory = indexer.max_memory_by_thread();
|
||||
|
||||
let mut word_fid_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,
|
||||
);
|
||||
|
||||
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)
|
||||
.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) {
|
||||
key_buffer.clear();
|
||||
key_buffer.extend_from_slice(word_bytes);
|
||||
key_buffer.push(0);
|
||||
let (fid, _) = relative_from_absolute_position(position);
|
||||
key_buffer.extend_from_slice(&fid.to_be_bytes());
|
||||
word_fid_docids_sorter.insert(&key_buffer, document_id.to_ne_bytes())?;
|
||||
}
|
||||
}
|
||||
|
||||
let word_fid_docids_reader = sorter_into_reader(word_fid_docids_sorter, indexer)?;
|
||||
|
||||
Ok(word_fid_docids_reader)
|
||||
}
|
@ -1,15 +1,17 @@
|
||||
use std::cmp::Ordering;
|
||||
use std::collections::{BinaryHeap, HashMap};
|
||||
use std::collections::{BTreeMap, VecDeque};
|
||||
use std::fs::File;
|
||||
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, create_writer, merge_deladd_cbo_roaring_bitmaps, try_split_array_at,
|
||||
writer_into_reader, GrenadParameters, MergeFn,
|
||||
};
|
||||
use crate::error::SerializationError;
|
||||
use crate::index::db_name::DOCID_WORD_POSITIONS;
|
||||
use crate::proximity::{positions_proximity, MAX_DISTANCE};
|
||||
use crate::proximity::{index_proximity, MAX_DISTANCE};
|
||||
use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
|
||||
use crate::{DocumentId, Result};
|
||||
|
||||
/// Extracts the best proximity between pairs of words and the documents ids where this pair appear.
|
||||
@ -25,58 +27,138 @@ 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_deladd_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();
|
||||
|
||||
// This map is assumed to not consume a lot of memory.
|
||||
let mut document_word_positions_heap = BinaryHeap::new();
|
||||
let mut del_word_positions: VecDeque<(String, u16)> =
|
||||
VecDeque::with_capacity(MAX_DISTANCE as usize);
|
||||
let mut add_word_positions: VecDeque<(String, u16)> =
|
||||
VecDeque::with_capacity(MAX_DISTANCE as usize);
|
||||
let mut del_word_pair_proximity = BTreeMap::new();
|
||||
let mut add_word_pair_proximity = BTreeMap::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);
|
||||
// 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");
|
||||
|
||||
document_word_positions_into_sorter(
|
||||
curr_document_id,
|
||||
document_word_positions_heap,
|
||||
&mut word_pair_proximity_docids_sorter,
|
||||
current_document_id.unwrap(),
|
||||
&del_word_pair_proximity,
|
||||
&add_word_pair_proximity,
|
||||
&mut word_pair_proximity_docids_sorters,
|
||||
)?;
|
||||
current_document_id = Some(document_id);
|
||||
del_word_pair_proximity.clear();
|
||||
add_word_pair_proximity.clear();
|
||||
}
|
||||
|
||||
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 });
|
||||
}
|
||||
current_document_id = Some(document_id);
|
||||
|
||||
let (del, add): (Result<_>, Result<_>) = rayon::join(
|
||||
|| {
|
||||
// deletions
|
||||
if let Some(deletion) = KvReaderDelAdd::new(&value).get(DelAdd::Deletion) {
|
||||
for (position, word) in KvReaderU16::new(deletion).iter() {
|
||||
// drain the proximity window until the head word is considered close to the word we are inserting.
|
||||
while del_word_positions.get(0).map_or(false, |(_w, p)| {
|
||||
index_proximity(*p as u32, position as u32) >= MAX_DISTANCE
|
||||
}) {
|
||||
word_positions_into_word_pair_proximity(
|
||||
&mut del_word_positions,
|
||||
&mut del_word_pair_proximity,
|
||||
)?;
|
||||
}
|
||||
|
||||
// insert the new word.
|
||||
let word = std::str::from_utf8(word)?;
|
||||
del_word_positions.push_back((word.to_string(), position));
|
||||
}
|
||||
|
||||
while !del_word_positions.is_empty() {
|
||||
word_positions_into_word_pair_proximity(
|
||||
&mut del_word_positions,
|
||||
&mut del_word_pair_proximity,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
},
|
||||
|| {
|
||||
// additions
|
||||
if let Some(addition) = KvReaderDelAdd::new(&value).get(DelAdd::Addition) {
|
||||
for (position, word) in KvReaderU16::new(addition).iter() {
|
||||
// drain the proximity window until the head word is considered close to the word we are inserting.
|
||||
while add_word_positions.get(0).map_or(false, |(_w, p)| {
|
||||
index_proximity(*p as u32, position as u32) >= MAX_DISTANCE
|
||||
}) {
|
||||
word_positions_into_word_pair_proximity(
|
||||
&mut add_word_positions,
|
||||
&mut add_word_pair_proximity,
|
||||
)?;
|
||||
}
|
||||
|
||||
// insert the new word.
|
||||
let word = std::str::from_utf8(word)?;
|
||||
add_word_positions.push_back((word.to_string(), position));
|
||||
}
|
||||
|
||||
while !add_word_positions.is_empty() {
|
||||
word_positions_into_word_pair_proximity(
|
||||
&mut add_word_positions,
|
||||
&mut add_word_pair_proximity,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
},
|
||||
);
|
||||
|
||||
del?;
|
||||
add?;
|
||||
}
|
||||
|
||||
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);
|
||||
puffin::profile_scope!("Final document into sorter");
|
||||
document_word_positions_into_sorter(
|
||||
document_id,
|
||||
document_word_positions_heap,
|
||||
&mut word_pair_proximity_docids_sorter,
|
||||
&del_word_pair_proximity,
|
||||
&add_word_pair_proximity,
|
||||
&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.
|
||||
@ -85,96 +167,66 @@ 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_docids_sorter: &mut grenad::Sorter<MergeFn>,
|
||||
del_word_pair_proximity: &BTreeMap<(String, String), u8>,
|
||||
add_word_pair_proximity: &BTreeMap<(String, String), u8>,
|
||||
word_pair_proximity_docids_sorters: &mut Vec<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,
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
use itertools::merge_join_by;
|
||||
use itertools::EitherOrBoth::{Both, Left, Right};
|
||||
|
||||
let mut buffer = Vec::new();
|
||||
let mut key_buffer = Vec::new();
|
||||
for ((w1, w2), prox) in word_pair_proximity {
|
||||
for eob in
|
||||
merge_join_by(del_word_pair_proximity.iter(), add_word_pair_proximity.iter(), |d, a| {
|
||||
d.cmp(a)
|
||||
})
|
||||
{
|
||||
buffer.clear();
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut buffer);
|
||||
let ((w1, w2), prox) = match eob {
|
||||
Left(key_value) => {
|
||||
value_writer.insert(DelAdd::Deletion, document_id.to_ne_bytes()).unwrap();
|
||||
key_value
|
||||
}
|
||||
Right(key_value) => {
|
||||
value_writer.insert(DelAdd::Addition, document_id.to_ne_bytes()).unwrap();
|
||||
key_value
|
||||
}
|
||||
Both(key_value, _) => {
|
||||
value_writer.insert(DelAdd::Deletion, document_id.to_ne_bytes()).unwrap();
|
||||
value_writer.insert(DelAdd::Addition, document_id.to_ne_bytes()).unwrap();
|
||||
key_value
|
||||
}
|
||||
};
|
||||
|
||||
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());
|
||||
|
||||
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, value_writer.into_inner().unwrap())?;
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
struct PeekedWordPosition<I> {
|
||||
word: String,
|
||||
position: u32,
|
||||
iter: I,
|
||||
}
|
||||
|
||||
impl<I> Ord for PeekedWordPosition<I> {
|
||||
fn cmp(&self, other: &Self) -> Ordering {
|
||||
self.position.cmp(&other.position).reverse()
|
||||
}
|
||||
}
|
||||
|
||||
impl<I> PartialOrd for PeekedWordPosition<I> {
|
||||
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
|
||||
Some(self.cmp(other))
|
||||
}
|
||||
}
|
||||
|
||||
impl<I> Eq for PeekedWordPosition<I> {}
|
||||
|
||||
impl<I> PartialEq for PeekedWordPosition<I> {
|
||||
fn eq(&self, other: &Self) -> bool {
|
||||
self.position == other.position
|
||||
fn word_positions_into_word_pair_proximity(
|
||||
word_positions: &mut VecDeque<(String, u16)>,
|
||||
word_pair_proximity: &mut BTreeMap<(String, String), u8>,
|
||||
) -> Result<()> {
|
||||
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;
|
||||
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(())
|
||||
}
|
||||
|
@ -1,13 +1,18 @@
|
||||
use std::collections::BTreeSet;
|
||||
use std::fs::File;
|
||||
use std::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,
|
||||
create_sorter, merge_deladd_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::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
|
||||
use crate::update::MergeFn;
|
||||
use crate::{bucketed_position, DocumentId, Result};
|
||||
|
||||
/// Extracts the word positions and the documents ids where this word appear.
|
||||
///
|
||||
@ -24,32 +29,110 @@ pub fn extract_word_position_docids<R: io::Read + io::Seek>(
|
||||
|
||||
let mut word_position_docids_sorter = create_sorter(
|
||||
grenad::SortAlgorithm::Unstable,
|
||||
merge_cbo_roaring_bitmaps,
|
||||
merge_deladd_cbo_roaring_bitmaps,
|
||||
indexer.chunk_compression_type,
|
||||
indexer.chunk_compression_level,
|
||||
indexer.max_nb_chunks,
|
||||
max_memory,
|
||||
);
|
||||
|
||||
let mut del_word_positions: BTreeSet<(u16, Vec<u8>)> = BTreeSet::new();
|
||||
let mut add_word_positions: BTreeSet<(u16, Vec<u8>)> = BTreeSet::new();
|
||||
let mut current_document_id: Option<u32> = 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 = DocumentId::from_be_bytes(document_id_bytes);
|
||||
|
||||
for position in read_u32_ne_bytes(value) {
|
||||
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())?;
|
||||
if current_document_id.map_or(false, |id| document_id != id) {
|
||||
words_position_into_sorter(
|
||||
current_document_id.unwrap(),
|
||||
&mut key_buffer,
|
||||
&del_word_positions,
|
||||
&add_word_positions,
|
||||
&mut word_position_docids_sorter,
|
||||
)?;
|
||||
del_word_positions.clear();
|
||||
add_word_positions.clear();
|
||||
}
|
||||
|
||||
current_document_id = Some(document_id);
|
||||
|
||||
let del_add_reader = KvReaderDelAdd::new(&value);
|
||||
// extract all unique words to remove.
|
||||
if let Some(deletion) = del_add_reader.get(DelAdd::Deletion) {
|
||||
for (position, word_bytes) in KvReaderU16::new(deletion).iter() {
|
||||
let position = bucketed_position(position);
|
||||
del_word_positions.insert((position, word_bytes.to_vec()));
|
||||
}
|
||||
}
|
||||
|
||||
// extract all unique additional words.
|
||||
if let Some(addition) = del_add_reader.get(DelAdd::Addition) {
|
||||
for (position, word_bytes) in KvReaderU16::new(addition).iter() {
|
||||
let position = bucketed_position(position);
|
||||
add_word_positions.insert((position, word_bytes.to_vec()));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if let Some(document_id) = current_document_id {
|
||||
words_position_into_sorter(
|
||||
document_id,
|
||||
&mut key_buffer,
|
||||
&del_word_positions,
|
||||
&add_word_positions,
|
||||
&mut word_position_docids_sorter,
|
||||
)?;
|
||||
}
|
||||
|
||||
// TODO remove noop DelAdd OBKV
|
||||
let word_position_docids_reader = sorter_into_reader(word_position_docids_sorter, indexer)?;
|
||||
|
||||
Ok(word_position_docids_reader)
|
||||
}
|
||||
|
||||
fn words_position_into_sorter(
|
||||
document_id: DocumentId,
|
||||
key_buffer: &mut Vec<u8>,
|
||||
del_word_positions: &BTreeSet<(u16, Vec<u8>)>,
|
||||
add_word_positions: &BTreeSet<(u16, Vec<u8>)>,
|
||||
word_position_docids_sorter: &mut grenad::Sorter<MergeFn>,
|
||||
) -> Result<()> {
|
||||
puffin::profile_function!();
|
||||
|
||||
use itertools::merge_join_by;
|
||||
use itertools::EitherOrBoth::{Both, Left, Right};
|
||||
|
||||
let mut buffer = Vec::new();
|
||||
for eob in merge_join_by(del_word_positions.iter(), add_word_positions.iter(), |d, a| d.cmp(a))
|
||||
{
|
||||
buffer.clear();
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut buffer);
|
||||
let (position, word_bytes) = match eob {
|
||||
Left(key) => {
|
||||
value_writer.insert(DelAdd::Deletion, document_id.to_ne_bytes()).unwrap();
|
||||
key
|
||||
}
|
||||
Right(key) => {
|
||||
value_writer.insert(DelAdd::Addition, document_id.to_ne_bytes()).unwrap();
|
||||
key
|
||||
}
|
||||
Both(key, _) => {
|
||||
value_writer.insert(DelAdd::Deletion, document_id.to_ne_bytes()).unwrap();
|
||||
value_writer.insert(DelAdd::Addition, document_id.to_ne_bytes()).unwrap();
|
||||
key
|
||||
}
|
||||
};
|
||||
|
||||
key_buffer.clear();
|
||||
key_buffer.extend_from_slice(word_bytes);
|
||||
key_buffer.push(0);
|
||||
key_buffer.extend_from_slice(&position.to_be_bytes());
|
||||
word_position_docids_sorter.insert(&key_buffer, value_writer.into_inner().unwrap())?;
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
@ -6,7 +6,6 @@ mod extract_fid_word_count_docids;
|
||||
mod extract_geo_points;
|
||||
mod extract_vector_points;
|
||||
mod extract_word_docids;
|
||||
mod extract_word_fid_docids;
|
||||
mod extract_word_pair_proximity_docids;
|
||||
mod extract_word_position_docids;
|
||||
|
||||
@ -25,12 +24,11 @@ use self::extract_fid_word_count_docids::extract_fid_word_count_docids;
|
||||
use self::extract_geo_points::extract_geo_points;
|
||||
use self::extract_vector_points::extract_vector_points;
|
||||
use self::extract_word_docids::extract_word_docids;
|
||||
use self::extract_word_fid_docids::extract_word_fid_docids;
|
||||
use self::extract_word_pair_proximity_docids::extract_word_pair_proximity_docids;
|
||||
use self::extract_word_position_docids::extract_word_position_docids;
|
||||
use super::helpers::{
|
||||
as_cloneable_grenad, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps, CursorClonableMmap,
|
||||
GrenadParameters, MergeFn, MergeableReader,
|
||||
as_cloneable_grenad, merge_cbo_roaring_bitmaps, CursorClonableMmap, GrenadParameters, MergeFn,
|
||||
MergeableReader,
|
||||
};
|
||||
use super::{helpers, TypedChunk};
|
||||
use crate::{FieldId, Result};
|
||||
@ -93,9 +91,9 @@ pub(crate) fn data_from_obkv_documents(
|
||||
let (
|
||||
docid_word_positions_chunks,
|
||||
(
|
||||
docid_fid_facet_numbers_chunks,
|
||||
fid_docid_facet_numbers_chunks,
|
||||
(
|
||||
docid_fid_facet_strings_chunks,
|
||||
fid_docid_facet_strings_chunks,
|
||||
(
|
||||
facet_is_null_docids_chunks,
|
||||
(facet_is_empty_docids_chunks, facet_exists_docids_chunks),
|
||||
@ -172,15 +170,22 @@ pub(crate) fn data_from_obkv_documents(
|
||||
"field-id-wordcount-docids",
|
||||
);
|
||||
|
||||
spawn_extraction_task::<_, _, Vec<(grenad::Reader<File>, grenad::Reader<File>)>>(
|
||||
spawn_extraction_task::<
|
||||
_,
|
||||
_,
|
||||
Vec<(grenad::Reader<File>, grenad::Reader<File>, grenad::Reader<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,
|
||||
merge_cbo_roaring_bitmaps,
|
||||
|(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",
|
||||
);
|
||||
@ -194,18 +199,9 @@ pub(crate) fn data_from_obkv_documents(
|
||||
TypedChunk::WordPositionDocids,
|
||||
"word-position-docids",
|
||||
);
|
||||
spawn_extraction_task::<_, _, Vec<grenad::Reader<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<File>>>(
|
||||
docid_fid_facet_strings_chunks,
|
||||
fid_docid_facet_strings_chunks,
|
||||
indexer,
|
||||
lmdb_writer_sx.clone(),
|
||||
extract_facet_string_docids,
|
||||
@ -215,7 +211,7 @@ pub(crate) fn data_from_obkv_documents(
|
||||
);
|
||||
|
||||
spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
|
||||
docid_fid_facet_numbers_chunks,
|
||||
fid_docid_facet_numbers_chunks,
|
||||
indexer,
|
||||
lmdb_writer_sx,
|
||||
extract_facet_number_docids,
|
||||
@ -348,7 +344,7 @@ fn send_and_extract_flattened_documents_data(
|
||||
});
|
||||
}
|
||||
|
||||
let (docid_word_positions_chunk, docid_fid_facet_values_chunks): (Result<_>, Result<_>) =
|
||||
let (docid_word_positions_chunk, fid_docid_facet_values_chunks): (Result<_>, Result<_>) =
|
||||
rayon::join(
|
||||
|| {
|
||||
let (documents_ids, docid_word_positions_chunk, script_language_pair) =
|
||||
@ -376,8 +372,8 @@ fn send_and_extract_flattened_documents_data(
|
||||
},
|
||||
|| {
|
||||
let ExtractedFacetValues {
|
||||
docid_fid_facet_numbers_chunk,
|
||||
docid_fid_facet_strings_chunk,
|
||||
fid_docid_facet_numbers_chunk,
|
||||
fid_docid_facet_strings_chunk,
|
||||
fid_facet_is_null_docids_chunk,
|
||||
fid_facet_is_empty_docids_chunk,
|
||||
fid_facet_exists_docids_chunk,
|
||||
@ -388,26 +384,26 @@ fn send_and_extract_flattened_documents_data(
|
||||
geo_fields_ids,
|
||||
)?;
|
||||
|
||||
// send docid_fid_facet_numbers_chunk to DB writer
|
||||
let docid_fid_facet_numbers_chunk =
|
||||
unsafe { as_cloneable_grenad(&docid_fid_facet_numbers_chunk)? };
|
||||
// send fid_docid_facet_numbers_chunk to DB writer
|
||||
let fid_docid_facet_numbers_chunk =
|
||||
unsafe { as_cloneable_grenad(&fid_docid_facet_numbers_chunk)? };
|
||||
|
||||
let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdDocidFacetNumbers(
|
||||
docid_fid_facet_numbers_chunk.clone(),
|
||||
fid_docid_facet_numbers_chunk.clone(),
|
||||
)));
|
||||
|
||||
// send docid_fid_facet_strings_chunk to DB writer
|
||||
let docid_fid_facet_strings_chunk =
|
||||
unsafe { as_cloneable_grenad(&docid_fid_facet_strings_chunk)? };
|
||||
// send fid_docid_facet_strings_chunk to DB writer
|
||||
let fid_docid_facet_strings_chunk =
|
||||
unsafe { as_cloneable_grenad(&fid_docid_facet_strings_chunk)? };
|
||||
|
||||
let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdDocidFacetStrings(
|
||||
docid_fid_facet_strings_chunk.clone(),
|
||||
fid_docid_facet_strings_chunk.clone(),
|
||||
)));
|
||||
|
||||
Ok((
|
||||
docid_fid_facet_numbers_chunk,
|
||||
fid_docid_facet_numbers_chunk,
|
||||
(
|
||||
docid_fid_facet_strings_chunk,
|
||||
fid_docid_facet_strings_chunk,
|
||||
(
|
||||
fid_facet_is_null_docids_chunk,
|
||||
(fid_facet_is_empty_docids_chunk, fid_facet_exists_docids_chunk),
|
||||
@ -417,5 +413,5 @@ fn send_and_extract_flattened_documents_data(
|
||||
},
|
||||
);
|
||||
|
||||
Ok((docid_word_positions_chunk?, docid_fid_facet_values_chunks?))
|
||||
Ok((docid_word_positions_chunk?, fid_docid_facet_values_chunks?))
|
||||
}
|
||||
|
@ -54,6 +54,7 @@ pub fn sorter_into_reader(
|
||||
sorter: grenad::Sorter<MergeFn>,
|
||||
indexer: GrenadParameters,
|
||||
) -> Result<grenad::Reader<File>> {
|
||||
puffin::profile_function!();
|
||||
let mut writer = create_writer(
|
||||
indexer.chunk_compression_type,
|
||||
indexer.chunk_compression_level,
|
||||
@ -113,6 +114,22 @@ impl MergeableReader for Vec<(grenad::Reader<File>, grenad::Reader<File>)> {
|
||||
}
|
||||
}
|
||||
|
||||
impl MergeableReader for Vec<(grenad::Reader<File>, grenad::Reader<File>, grenad::Reader<File>)> {
|
||||
type Output = (grenad::Reader<File>, grenad::Reader<File>, grenad::Reader<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> {
|
||||
|
@ -6,11 +6,13 @@ use std::result::Result as StdResult;
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use crate::heed_codec::CboRoaringBitmapCodec;
|
||||
use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
|
||||
use crate::update::index_documents::transform::Operation;
|
||||
use crate::Result;
|
||||
|
||||
pub type MergeFn = for<'a> fn(&[u8], &[Cow<'a, [u8]>]) -> Result<Cow<'a, [u8]>>;
|
||||
|
||||
#[allow(unused)]
|
||||
pub fn concat_u32s_array<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Result<Cow<'a, [u8]>> {
|
||||
if values.len() == 1 {
|
||||
Ok(values[0].clone())
|
||||
@ -75,57 +77,123 @@ pub fn keep_latest_obkv<'a>(_key: &[u8], obkvs: &[Cow<'a, [u8]>]) -> Result<Cow<
|
||||
Ok(obkvs.last().unwrap().clone())
|
||||
}
|
||||
|
||||
pub fn merge_two_obkvs(base: obkv::KvReaderU16, update: obkv::KvReaderU16, buffer: &mut Vec<u8>) {
|
||||
pub fn merge_two_del_add_obkvs(
|
||||
base: obkv::KvReaderU16,
|
||||
update: obkv::KvReaderU16,
|
||||
merge_additions: bool,
|
||||
buffer: &mut Vec<u8>,
|
||||
) {
|
||||
use itertools::merge_join_by;
|
||||
use itertools::EitherOrBoth::{Both, Left, Right};
|
||||
|
||||
buffer.clear();
|
||||
|
||||
let mut writer = obkv::KvWriter::new(buffer);
|
||||
let mut value_buffer = Vec::new();
|
||||
for eob in merge_join_by(base.iter(), update.iter(), |(b, _), (u, _)| b.cmp(u)) {
|
||||
match eob {
|
||||
Both(_, (k, v)) | Left((k, v)) | Right((k, v)) => writer.insert(k, v).unwrap(),
|
||||
Left((k, v)) => {
|
||||
if merge_additions {
|
||||
writer.insert(k, v).unwrap()
|
||||
} else {
|
||||
// If merge_additions is false, recreate an obkv keeping the deletions only.
|
||||
value_buffer.clear();
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut value_buffer);
|
||||
let base_reader = KvReaderDelAdd::new(v);
|
||||
|
||||
if let Some(deletion) = base_reader.get(DelAdd::Deletion) {
|
||||
value_writer.insert(DelAdd::Deletion, deletion).unwrap();
|
||||
value_writer.finish().unwrap();
|
||||
writer.insert(k, &value_buffer).unwrap()
|
||||
}
|
||||
}
|
||||
}
|
||||
Right((k, v)) => writer.insert(k, v).unwrap(),
|
||||
Both((k, base), (_, update)) => {
|
||||
// merge deletions and additions.
|
||||
value_buffer.clear();
|
||||
let mut value_writer = KvWriterDelAdd::new(&mut value_buffer);
|
||||
let base_reader = KvReaderDelAdd::new(base);
|
||||
let update_reader = KvReaderDelAdd::new(update);
|
||||
|
||||
// keep newest deletion.
|
||||
if let Some(deletion) = update_reader
|
||||
.get(DelAdd::Deletion)
|
||||
.or_else(|| base_reader.get(DelAdd::Deletion))
|
||||
{
|
||||
value_writer.insert(DelAdd::Deletion, deletion).unwrap();
|
||||
}
|
||||
|
||||
// keep base addition only if merge_additions is true.
|
||||
let base_addition =
|
||||
merge_additions.then(|| base_reader.get(DelAdd::Addition)).flatten();
|
||||
// keep newest addition.
|
||||
// TODO use or_else
|
||||
if let Some(addition) = update_reader.get(DelAdd::Addition).or(base_addition) {
|
||||
value_writer.insert(DelAdd::Addition, addition).unwrap();
|
||||
}
|
||||
|
||||
value_writer.finish().unwrap();
|
||||
writer.insert(k, &value_buffer).unwrap()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
writer.finish().unwrap();
|
||||
}
|
||||
|
||||
/// Merge all the obks in the order we see them.
|
||||
pub fn merge_obkvs_and_operations<'a>(
|
||||
/// Merge all the obkvs from the newest to the oldest.
|
||||
fn inner_merge_del_add_obkvs<'a>(
|
||||
obkvs: &[Cow<'a, [u8]>],
|
||||
merge_additions: bool,
|
||||
) -> Result<Cow<'a, [u8]>> {
|
||||
// pop the newest operation from the list.
|
||||
let (newest, obkvs) = obkvs.split_last().unwrap();
|
||||
// keep the operation type for the returned value.
|
||||
let newest_operation_type = newest[0];
|
||||
|
||||
// treat the newest obkv as the starting point of the merge.
|
||||
let mut acc_operation_type = newest_operation_type;
|
||||
let mut acc = newest[1..].to_vec();
|
||||
let mut buffer = Vec::new();
|
||||
// reverse iter from the most recent to the oldest.
|
||||
for current in obkvs.into_iter().rev() {
|
||||
// if in the previous iteration there was a complete deletion,
|
||||
// stop the merge process.
|
||||
if acc_operation_type == Operation::Deletion as u8 {
|
||||
break;
|
||||
}
|
||||
|
||||
let newest = obkv::KvReader::new(&acc);
|
||||
let oldest = obkv::KvReader::new(¤t[1..]);
|
||||
merge_two_del_add_obkvs(oldest, newest, merge_additions, &mut buffer);
|
||||
|
||||
// we want the result of the merge into our accumulator.
|
||||
std::mem::swap(&mut acc, &mut buffer);
|
||||
acc_operation_type = current[0];
|
||||
}
|
||||
|
||||
acc.insert(0, newest_operation_type);
|
||||
Ok(Cow::from(acc))
|
||||
}
|
||||
|
||||
/// Merge all the obkvs from the newest to the oldest.
|
||||
pub fn obkvs_merge_additions_and_deletions<'a>(
|
||||
_key: &[u8],
|
||||
obkvs: &[Cow<'a, [u8]>],
|
||||
) -> Result<Cow<'a, [u8]>> {
|
||||
// [add, add, delete, add, add]
|
||||
// we can ignore everything that happened before the last delete.
|
||||
let starting_position =
|
||||
obkvs.iter().rposition(|obkv| obkv[0] == Operation::Deletion as u8).unwrap_or(0);
|
||||
|
||||
// [add, add, delete]
|
||||
// if the last operation was a deletion then we simply return the deletion
|
||||
if starting_position == obkvs.len() - 1 && obkvs.last().unwrap()[0] == Operation::Deletion as u8
|
||||
{
|
||||
return Ok(obkvs[obkvs.len() - 1].clone());
|
||||
}
|
||||
let mut buffer = Vec::new();
|
||||
|
||||
// (add, add, delete) [add, add]
|
||||
// in the other case, no deletion will be encountered during the merge
|
||||
let mut ret =
|
||||
obkvs[starting_position..].iter().cloned().fold(Vec::new(), |mut acc, current| {
|
||||
let first = obkv::KvReader::new(&acc);
|
||||
let second = obkv::KvReader::new(¤t[1..]);
|
||||
merge_two_obkvs(first, second, &mut buffer);
|
||||
|
||||
// we want the result of the merge into our accumulator
|
||||
std::mem::swap(&mut acc, &mut buffer);
|
||||
acc
|
||||
});
|
||||
|
||||
ret.insert(0, Operation::Addition as u8);
|
||||
Ok(Cow::from(ret))
|
||||
inner_merge_del_add_obkvs(obkvs, true)
|
||||
}
|
||||
|
||||
/// Merge all the obkvs deletions from the newest to the oldest and keep only the newest additions.
|
||||
pub fn obkvs_keep_last_addition_merge_deletions<'a>(
|
||||
_key: &[u8],
|
||||
obkvs: &[Cow<'a, [u8]>],
|
||||
) -> Result<Cow<'a, [u8]>> {
|
||||
inner_merge_del_add_obkvs(obkvs, false)
|
||||
}
|
||||
|
||||
/// Do a union of all the CboRoaringBitmaps in the values.
|
||||
pub fn merge_cbo_roaring_bitmaps<'a>(
|
||||
_key: &[u8],
|
||||
values: &[Cow<'a, [u8]>],
|
||||
@ -138,3 +206,36 @@ pub fn merge_cbo_roaring_bitmaps<'a>(
|
||||
Ok(Cow::from(vec))
|
||||
}
|
||||
}
|
||||
|
||||
/// Do a union of CboRoaringBitmaps on both sides of a DelAdd obkv
|
||||
/// separately and outputs a new DelAdd with both unions.
|
||||
pub fn merge_deladd_cbo_roaring_bitmaps<'a>(
|
||||
_key: &[u8],
|
||||
values: &[Cow<'a, [u8]>],
|
||||
) -> Result<Cow<'a, [u8]>> {
|
||||
if values.len() == 1 {
|
||||
Ok(values[0].clone())
|
||||
} else {
|
||||
// Retrieve the bitmaps from both sides
|
||||
let mut del_bitmaps_bytes = Vec::new();
|
||||
let mut add_bitmaps_bytes = Vec::new();
|
||||
for value in values {
|
||||
let obkv = KvReaderDelAdd::new(value);
|
||||
if let Some(bitmap_bytes) = obkv.get(DelAdd::Deletion) {
|
||||
del_bitmaps_bytes.push(bitmap_bytes);
|
||||
}
|
||||
if let Some(bitmap_bytes) = obkv.get(DelAdd::Addition) {
|
||||
add_bitmaps_bytes.push(bitmap_bytes);
|
||||
}
|
||||
}
|
||||
|
||||
let mut output_deladd_obkv = KvWriterDelAdd::memory();
|
||||
let mut buffer = Vec::new();
|
||||
CboRoaringBitmapCodec::merge_into(del_bitmaps_bytes, &mut buffer)?;
|
||||
output_deladd_obkv.insert(DelAdd::Deletion, &buffer)?;
|
||||
buffer.clear();
|
||||
CboRoaringBitmapCodec::merge_into(add_bitmaps_bytes, &mut buffer)?;
|
||||
output_deladd_obkv.insert(DelAdd::Addition, &buffer)?;
|
||||
output_deladd_obkv.into_inner().map(Cow::from).map_err(Into::into)
|
||||
}
|
||||
}
|
||||
|
@ -14,7 +14,8 @@ pub use grenad_helpers::{
|
||||
};
|
||||
pub use merge_functions::{
|
||||
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,
|
||||
merge_cbo_roaring_bitmaps, merge_deladd_cbo_roaring_bitmaps, merge_roaring_bitmaps,
|
||||
obkvs_keep_last_addition_merge_deletions, obkvs_merge_additions_and_deletions,
|
||||
serialize_roaring_bitmap, MergeFn,
|
||||
};
|
||||
|
||||
@ -44,6 +45,7 @@ where
|
||||
Some((head, tail))
|
||||
}
|
||||
|
||||
#[allow(unused)]
|
||||
pub fn read_u32_ne_bytes(bytes: &[u8]) -> impl Iterator<Item = u32> + '_ {
|
||||
bytes.chunks_exact(4).flat_map(TryInto::try_into).map(u32::from_ne_bytes)
|
||||
}
|
||||
|
@ -38,7 +38,7 @@ use crate::update::{
|
||||
self, DeletionStrategy, IndexerConfig, PrefixWordPairsProximityDocids, UpdateIndexingStep,
|
||||
WordPrefixDocids, WordPrefixIntegerDocids, WordsPrefixesFst,
|
||||
};
|
||||
use crate::{Index, Result, RoaringBitmapCodec};
|
||||
use crate::{CboRoaringBitmapCodec, Index, Result};
|
||||
|
||||
static MERGED_DATABASE_COUNT: usize = 7;
|
||||
static PREFIX_DATABASE_COUNT: usize = 5;
|
||||
@ -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)? };
|
||||
@ -424,11 +434,6 @@ where
|
||||
word_position_docids = Some(cloneable_chunk);
|
||||
TypedChunk::WordPositionDocids(chunk)
|
||||
}
|
||||
TypedChunk::WordFidDocids(chunk) => {
|
||||
let cloneable_chunk = unsafe { as_cloneable_grenad(&chunk)? };
|
||||
word_fid_docids = Some(cloneable_chunk);
|
||||
TypedChunk::WordFidDocids(chunk)
|
||||
}
|
||||
otherwise => otherwise,
|
||||
};
|
||||
|
||||
@ -470,13 +475,14 @@ where
|
||||
let all_documents_ids = index_documents_ids | new_documents_ids;
|
||||
self.index.put_documents_ids(self.wtxn, &all_documents_ids)?;
|
||||
|
||||
self.execute_prefix_databases(
|
||||
word_docids,
|
||||
exact_word_docids,
|
||||
word_pair_proximity_docids,
|
||||
word_position_docids,
|
||||
word_fid_docids,
|
||||
)?;
|
||||
// TODO: reactivate prefix DB with diff-indexing
|
||||
// self.execute_prefix_databases(
|
||||
// word_docids,
|
||||
// exact_word_docids,
|
||||
// word_pair_proximity_docids,
|
||||
// word_position_docids,
|
||||
// word_fid_docids,
|
||||
// )?;
|
||||
|
||||
Ok(all_documents_ids.len())
|
||||
}
|
||||
@ -690,8 +696,8 @@ where
|
||||
fn execute_word_prefix_docids(
|
||||
txn: &mut heed::RwTxn,
|
||||
reader: grenad::Reader<Cursor<ClonableMmap>>,
|
||||
word_docids_db: Database<Str, RoaringBitmapCodec>,
|
||||
word_prefix_docids_db: Database<Str, RoaringBitmapCodec>,
|
||||
word_docids_db: Database<Str, CboRoaringBitmapCodec>,
|
||||
word_prefix_docids_db: Database<Str, CboRoaringBitmapCodec>,
|
||||
indexer_config: &IndexerConfig,
|
||||
new_prefix_fst_words: &[String],
|
||||
common_prefix_fst_words: &[&[String]],
|
||||
|
@ -7,18 +7,20 @@ use std::io::{Read, Seek};
|
||||
use fxhash::FxHashMap;
|
||||
use heed::RoTxn;
|
||||
use itertools::Itertools;
|
||||
use obkv::{KvReader, KvWriter};
|
||||
use obkv::{KvReader, KvReaderU16, KvWriter};
|
||||
use roaring::RoaringBitmap;
|
||||
use serde_json::Value;
|
||||
use smartstring::SmartString;
|
||||
|
||||
use super::helpers::{
|
||||
create_sorter, create_writer, keep_latest_obkv, merge_obkvs_and_operations, MergeFn,
|
||||
create_sorter, create_writer, obkvs_keep_last_addition_merge_deletions,
|
||||
obkvs_merge_additions_and_deletions, MergeFn,
|
||||
};
|
||||
use super::{IndexDocumentsMethod, IndexerConfig};
|
||||
use crate::documents::{DocumentsBatchIndex, EnrichedDocument, EnrichedDocumentsBatchReader};
|
||||
use crate::error::{Error, InternalError, UserError};
|
||||
use crate::index::{db_name, main_key};
|
||||
use crate::update::del_add::into_del_add_obkv;
|
||||
use crate::update::{AvailableDocumentsIds, ClearDocuments, UpdateIndexingStep};
|
||||
use crate::{
|
||||
FieldDistribution, FieldId, FieldIdMapMissingEntry, FieldsIdsMap, Index, Result, BEU32,
|
||||
@ -106,8 +108,8 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
// We must choose the appropriate merge function for when two or more documents
|
||||
// with the same user id must be merged or fully replaced in the same batch.
|
||||
let merge_function = match index_documents_method {
|
||||
IndexDocumentsMethod::ReplaceDocuments => keep_latest_obkv,
|
||||
IndexDocumentsMethod::UpdateDocuments => merge_obkvs_and_operations,
|
||||
IndexDocumentsMethod::ReplaceDocuments => obkvs_keep_last_addition_merge_deletions,
|
||||
IndexDocumentsMethod::UpdateDocuments => obkvs_merge_additions_and_deletions,
|
||||
};
|
||||
|
||||
// We initialize the sorter with the user indexing settings.
|
||||
@ -223,19 +225,21 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
let docid = match self.new_external_documents_ids_builder.entry((*external_id).into()) {
|
||||
Entry::Occupied(entry) => *entry.get() as u32,
|
||||
Entry::Vacant(entry) => {
|
||||
// If the document was already in the db we mark it as a replaced document.
|
||||
// It'll be deleted later.
|
||||
if let Some(docid) = external_documents_ids.get(entry.key()) {
|
||||
// If it was already in the list of replaced documents it means it was deleted
|
||||
// by the remove_document method. We should starts as if it never existed.
|
||||
if self.replaced_documents_ids.insert(docid) {
|
||||
original_docid = Some(docid);
|
||||
let docid = match external_documents_ids.get(entry.key()) {
|
||||
Some(docid) => {
|
||||
// If it was already in the list of replaced documents it means it was deleted
|
||||
// by the remove_document method. We should starts as if it never existed.
|
||||
if self.replaced_documents_ids.insert(docid) {
|
||||
original_docid = Some(docid);
|
||||
}
|
||||
|
||||
docid
|
||||
}
|
||||
}
|
||||
let docid = self
|
||||
.available_documents_ids
|
||||
.next()
|
||||
.ok_or(UserError::DocumentLimitReached)?;
|
||||
None => self
|
||||
.available_documents_ids
|
||||
.next()
|
||||
.ok_or(UserError::DocumentLimitReached)?,
|
||||
};
|
||||
entry.insert(docid as u64);
|
||||
docid
|
||||
}
|
||||
@ -263,16 +267,28 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
skip_insertion = true;
|
||||
} else {
|
||||
// we associate the base document with the new key, everything will get merged later.
|
||||
let keep_original_version =
|
||||
self.index_documents_method == IndexDocumentsMethod::UpdateDocuments;
|
||||
document_sorter_buffer.clear();
|
||||
document_sorter_buffer.push(Operation::Addition as u8);
|
||||
document_sorter_buffer.extend_from_slice(base_obkv);
|
||||
into_del_add_obkv(
|
||||
KvReaderU16::new(base_obkv),
|
||||
true,
|
||||
keep_original_version,
|
||||
&mut document_sorter_buffer,
|
||||
)?;
|
||||
self.original_sorter.insert(docid.to_be_bytes(), &document_sorter_buffer)?;
|
||||
match self.flatten_from_fields_ids_map(KvReader::new(base_obkv))? {
|
||||
Some(flattened_obkv) => {
|
||||
// we recreate our buffer with the flattened documents
|
||||
document_sorter_buffer.clear();
|
||||
document_sorter_buffer.push(Operation::Addition as u8);
|
||||
document_sorter_buffer.extend_from_slice(&flattened_obkv);
|
||||
into_del_add_obkv(
|
||||
KvReaderU16::new(&flattened_obkv),
|
||||
true,
|
||||
keep_original_version,
|
||||
&mut document_sorter_buffer,
|
||||
)?;
|
||||
self.flattened_sorter
|
||||
.insert(docid.to_be_bytes(), &document_sorter_buffer)?
|
||||
}
|
||||
@ -288,7 +304,12 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
|
||||
document_sorter_buffer.clear();
|
||||
document_sorter_buffer.push(Operation::Addition as u8);
|
||||
document_sorter_buffer.extend_from_slice(&obkv_buffer);
|
||||
into_del_add_obkv(
|
||||
KvReaderU16::new(&obkv_buffer),
|
||||
false,
|
||||
true,
|
||||
&mut document_sorter_buffer,
|
||||
)?;
|
||||
// We use the extracted/generated user id as the key for this document.
|
||||
self.original_sorter.insert(docid.to_be_bytes(), &document_sorter_buffer)?;
|
||||
|
||||
@ -296,7 +317,12 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
Some(flattened_obkv) => {
|
||||
document_sorter_buffer.clear();
|
||||
document_sorter_buffer.push(Operation::Addition as u8);
|
||||
document_sorter_buffer.extend_from_slice(&flattened_obkv);
|
||||
into_del_add_obkv(
|
||||
KvReaderU16::new(&flattened_obkv),
|
||||
false,
|
||||
true,
|
||||
&mut document_sorter_buffer,
|
||||
)?;
|
||||
self.flattened_sorter
|
||||
.insert(docid.to_be_bytes(), &document_sorter_buffer)?
|
||||
}
|
||||
@ -354,19 +380,25 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
let external_documents_ids = self.index.external_documents_ids(wtxn)?;
|
||||
|
||||
let mut documents_deleted = 0;
|
||||
let mut document_sorter_buffer = Vec::new();
|
||||
for to_remove in to_remove {
|
||||
if should_abort() {
|
||||
return Err(Error::InternalError(InternalError::AbortedIndexation));
|
||||
}
|
||||
|
||||
match self.new_external_documents_ids_builder.entry((*to_remove).into()) {
|
||||
// Check if the document has been added in the current indexing process.
|
||||
let deleted_from_current = match self
|
||||
.new_external_documents_ids_builder
|
||||
.entry((*to_remove).into())
|
||||
{
|
||||
// if the document was added in a previous iteration of the transform we make it as deleted in the sorters.
|
||||
Entry::Occupied(entry) => {
|
||||
let doc_id = *entry.get() as u32;
|
||||
self.original_sorter
|
||||
.insert(doc_id.to_be_bytes(), [Operation::Deletion as u8])?;
|
||||
self.flattened_sorter
|
||||
.insert(doc_id.to_be_bytes(), [Operation::Deletion as u8])?;
|
||||
document_sorter_buffer.clear();
|
||||
document_sorter_buffer.push(Operation::Deletion as u8);
|
||||
obkv::KvWriterU16::new(&mut document_sorter_buffer).finish().unwrap();
|
||||
self.original_sorter.insert(doc_id.to_be_bytes(), &document_sorter_buffer)?;
|
||||
self.flattened_sorter.insert(doc_id.to_be_bytes(), &document_sorter_buffer)?;
|
||||
|
||||
// we must NOT update the list of replaced_documents_ids
|
||||
// Either:
|
||||
@ -375,21 +407,69 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
// we're removing it there is nothing to do.
|
||||
self.new_documents_ids.remove(doc_id);
|
||||
entry.remove_entry();
|
||||
true
|
||||
}
|
||||
Entry::Vacant(entry) => {
|
||||
// If the document was already in the db we mark it as a `to_delete` document.
|
||||
// It'll be deleted later. We don't need to push anything to the sorters.
|
||||
if let Some(docid) = external_documents_ids.get(entry.key()) {
|
||||
self.replaced_documents_ids.insert(docid);
|
||||
} else {
|
||||
// if the document is nowehere to be found, there is nothing to do and we must NOT
|
||||
// increment the count of documents_deleted
|
||||
continue;
|
||||
}
|
||||
}
|
||||
Entry::Vacant(_) => false,
|
||||
};
|
||||
|
||||
documents_deleted += 1;
|
||||
// If the document was already in the db we mark it as a `to_delete` document.
|
||||
// Then we push the document in sorters in deletion mode.
|
||||
let deleted_from_db = match external_documents_ids.get(&to_remove) {
|
||||
Some(docid) => {
|
||||
self.replaced_documents_ids.insert(docid);
|
||||
|
||||
// fetch the obkv document
|
||||
let original_key = BEU32::new(docid);
|
||||
let base_obkv = self
|
||||
.index
|
||||
.documents
|
||||
.remap_data_type::<heed::types::ByteSlice>()
|
||||
.get(wtxn, &original_key)?
|
||||
.ok_or(InternalError::DatabaseMissingEntry {
|
||||
db_name: db_name::DOCUMENTS,
|
||||
key: None,
|
||||
})?;
|
||||
|
||||
// push it as to delete in the original_sorter
|
||||
document_sorter_buffer.clear();
|
||||
document_sorter_buffer.push(Operation::Deletion as u8);
|
||||
into_del_add_obkv(
|
||||
KvReaderU16::new(base_obkv),
|
||||
true,
|
||||
false,
|
||||
&mut document_sorter_buffer,
|
||||
)?;
|
||||
self.original_sorter.insert(docid.to_be_bytes(), &document_sorter_buffer)?;
|
||||
|
||||
// flatten it and push it as to delete in the flattened_sorter
|
||||
match self.flatten_from_fields_ids_map(KvReader::new(base_obkv))? {
|
||||
Some(flattened_obkv) => {
|
||||
// we recreate our buffer with the flattened documents
|
||||
document_sorter_buffer.clear();
|
||||
document_sorter_buffer.push(Operation::Deletion as u8);
|
||||
into_del_add_obkv(
|
||||
KvReaderU16::new(&flattened_obkv),
|
||||
true,
|
||||
false,
|
||||
&mut document_sorter_buffer,
|
||||
)?;
|
||||
self.flattened_sorter
|
||||
.insert(docid.to_be_bytes(), &document_sorter_buffer)?
|
||||
}
|
||||
None => self
|
||||
.flattened_sorter
|
||||
.insert(docid.to_be_bytes(), &document_sorter_buffer)?,
|
||||
}
|
||||
|
||||
true
|
||||
}
|
||||
None => false,
|
||||
};
|
||||
|
||||
// increase counter only if the document existed somewhere before.
|
||||
if deleted_from_current || deleted_from_db {
|
||||
documents_deleted += 1;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(documents_deleted)
|
||||
@ -589,9 +669,7 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
let mut documents_count = 0;
|
||||
|
||||
while let Some((key, val)) = iter.next()? {
|
||||
if val[0] == Operation::Deletion as u8 {
|
||||
continue;
|
||||
}
|
||||
// skip first byte corresponding to the operation type (Deletion or Addition).
|
||||
let val = &val[1..];
|
||||
|
||||
// send a callback to show at which step we are
|
||||
@ -631,9 +709,7 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
// We get rids of the `Operation` byte and skip the deleted documents as well.
|
||||
let mut iter = self.flattened_sorter.into_stream_merger_iter()?;
|
||||
while let Some((key, val)) = iter.next()? {
|
||||
if val[0] == Operation::Deletion as u8 {
|
||||
continue;
|
||||
}
|
||||
// skip first byte corresponding to the operation type (Deletion or Addition).
|
||||
let val = &val[1..];
|
||||
writer.insert(key, val)?;
|
||||
}
|
||||
@ -711,6 +787,7 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
);
|
||||
|
||||
let mut obkv_buffer = Vec::new();
|
||||
let mut document_sorter_buffer = Vec::new();
|
||||
for result in self.index.all_documents(wtxn)? {
|
||||
let (docid, obkv) = result?;
|
||||
|
||||
@ -725,7 +802,9 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
}
|
||||
|
||||
let buffer = obkv_writer.into_inner()?;
|
||||
original_writer.insert(docid.to_be_bytes(), &buffer)?;
|
||||
document_sorter_buffer.clear();
|
||||
into_del_add_obkv(KvReaderU16::new(buffer), false, true, &mut document_sorter_buffer)?;
|
||||
original_writer.insert(docid.to_be_bytes(), &document_sorter_buffer)?;
|
||||
|
||||
// Once we have the document. We're going to flatten it
|
||||
// and insert it in the flattened sorter.
|
||||
@ -760,7 +839,9 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
let value = serde_json::to_vec(&value).map_err(InternalError::SerdeJson)?;
|
||||
writer.insert(fid, &value)?;
|
||||
}
|
||||
flattened_writer.insert(docid.to_be_bytes(), &buffer)?;
|
||||
document_sorter_buffer.clear();
|
||||
into_del_add_obkv(KvReaderU16::new(&buffer), false, true, &mut document_sorter_buffer)?;
|
||||
flattened_writer.insert(docid.to_be_bytes(), &document_sorter_buffer)?;
|
||||
}
|
||||
|
||||
// Once we have written all the documents, we extract
|
||||
@ -824,38 +905,86 @@ mod test {
|
||||
|
||||
#[test]
|
||||
fn merge_obkvs() {
|
||||
let mut doc_0 = Vec::new();
|
||||
let mut kv_writer = KvWriter::new(&mut doc_0);
|
||||
let mut additive_doc_0 = Vec::new();
|
||||
let mut deletive_doc_0 = Vec::new();
|
||||
let mut del_add_doc_0 = Vec::new();
|
||||
let mut kv_writer = KvWriter::memory();
|
||||
kv_writer.insert(0_u8, [0]).unwrap();
|
||||
kv_writer.finish().unwrap();
|
||||
doc_0.insert(0, Operation::Addition as u8);
|
||||
let buffer = kv_writer.into_inner().unwrap();
|
||||
into_del_add_obkv(KvReaderU16::new(&buffer), false, true, &mut additive_doc_0).unwrap();
|
||||
additive_doc_0.insert(0, Operation::Addition as u8);
|
||||
into_del_add_obkv(KvReaderU16::new(&buffer), true, false, &mut deletive_doc_0).unwrap();
|
||||
deletive_doc_0.insert(0, Operation::Deletion as u8);
|
||||
into_del_add_obkv(KvReaderU16::new(&buffer), true, true, &mut del_add_doc_0).unwrap();
|
||||
del_add_doc_0.insert(0, Operation::Addition as u8);
|
||||
|
||||
let ret = merge_obkvs_and_operations(&[], &[Cow::from(doc_0.as_slice())]).unwrap();
|
||||
assert_eq!(*ret, doc_0);
|
||||
let mut additive_doc_1 = Vec::new();
|
||||
let mut kv_writer = KvWriter::memory();
|
||||
kv_writer.insert(1_u8, [1]).unwrap();
|
||||
let buffer = kv_writer.into_inner().unwrap();
|
||||
into_del_add_obkv(KvReaderU16::new(&buffer), false, true, &mut additive_doc_1).unwrap();
|
||||
additive_doc_1.insert(0, Operation::Addition as u8);
|
||||
|
||||
let ret = merge_obkvs_and_operations(
|
||||
let mut additive_doc_0_1 = Vec::new();
|
||||
let mut kv_writer = KvWriter::memory();
|
||||
kv_writer.insert(0_u8, [0]).unwrap();
|
||||
kv_writer.insert(1_u8, [1]).unwrap();
|
||||
let buffer = kv_writer.into_inner().unwrap();
|
||||
into_del_add_obkv(KvReaderU16::new(&buffer), false, true, &mut additive_doc_0_1).unwrap();
|
||||
additive_doc_0_1.insert(0, Operation::Addition as u8);
|
||||
|
||||
let ret = obkvs_merge_additions_and_deletions(&[], &[Cow::from(additive_doc_0.as_slice())])
|
||||
.unwrap();
|
||||
assert_eq!(*ret, additive_doc_0);
|
||||
|
||||
let ret = obkvs_merge_additions_and_deletions(
|
||||
&[],
|
||||
&[Cow::from([Operation::Deletion as u8].as_slice()), Cow::from(doc_0.as_slice())],
|
||||
&[Cow::from(deletive_doc_0.as_slice()), Cow::from(additive_doc_0.as_slice())],
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(*ret, doc_0);
|
||||
assert_eq!(*ret, del_add_doc_0);
|
||||
|
||||
let ret = merge_obkvs_and_operations(
|
||||
let ret = obkvs_merge_additions_and_deletions(
|
||||
&[],
|
||||
&[Cow::from(doc_0.as_slice()), Cow::from([Operation::Deletion as u8].as_slice())],
|
||||
&[Cow::from(additive_doc_0.as_slice()), Cow::from(deletive_doc_0.as_slice())],
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(*ret, [Operation::Deletion as u8]);
|
||||
assert_eq!(*ret, deletive_doc_0);
|
||||
|
||||
let ret = merge_obkvs_and_operations(
|
||||
let ret = obkvs_merge_additions_and_deletions(
|
||||
&[],
|
||||
&[
|
||||
Cow::from([Operation::Addition as u8, 1].as_slice()),
|
||||
Cow::from([Operation::Deletion as u8].as_slice()),
|
||||
Cow::from(doc_0.as_slice()),
|
||||
Cow::from(additive_doc_1.as_slice()),
|
||||
Cow::from(deletive_doc_0.as_slice()),
|
||||
Cow::from(additive_doc_0.as_slice()),
|
||||
],
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(*ret, doc_0);
|
||||
assert_eq!(*ret, del_add_doc_0);
|
||||
|
||||
let ret = obkvs_merge_additions_and_deletions(
|
||||
&[],
|
||||
&[Cow::from(additive_doc_1.as_slice()), Cow::from(additive_doc_0.as_slice())],
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(*ret, additive_doc_0_1);
|
||||
|
||||
let ret = obkvs_keep_last_addition_merge_deletions(
|
||||
&[],
|
||||
&[Cow::from(additive_doc_1.as_slice()), Cow::from(additive_doc_0.as_slice())],
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(*ret, additive_doc_0);
|
||||
|
||||
let ret = obkvs_keep_last_addition_merge_deletions(
|
||||
&[],
|
||||
&[
|
||||
Cow::from(deletive_doc_0.as_slice()),
|
||||
Cow::from(additive_doc_1.as_slice()),
|
||||
Cow::from(additive_doc_0.as_slice()),
|
||||
],
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(*ret, del_add_doc_0);
|
||||
}
|
||||
}
|
||||
|
@ -32,9 +32,9 @@ pub(crate) enum TypedChunk {
|
||||
WordDocids {
|
||||
word_docids_reader: grenad::Reader<File>,
|
||||
exact_word_docids_reader: grenad::Reader<File>,
|
||||
word_fid_docids_reader: grenad::Reader<File>,
|
||||
},
|
||||
WordPositionDocids(grenad::Reader<File>),
|
||||
WordFidDocids(grenad::Reader<File>),
|
||||
WordPairProximityDocids(grenad::Reader<File>),
|
||||
FieldIdFacetStringDocids(grenad::Reader<File>),
|
||||
FieldIdFacetNumberDocids(grenad::Reader<File>),
|
||||
@ -43,7 +43,7 @@ pub(crate) enum TypedChunk {
|
||||
FieldIdFacetIsEmptyDocids(grenad::Reader<File>),
|
||||
GeoPoints(grenad::Reader<File>),
|
||||
VectorPoints(grenad::Reader<File>),
|
||||
ScriptLanguageDocids(HashMap<(Script, Language), RoaringBitmap>),
|
||||
ScriptLanguageDocids(HashMap<(Script, Language), (RoaringBitmap, RoaringBitmap)>),
|
||||
}
|
||||
|
||||
impl TypedChunk {
|
||||
@ -64,17 +64,19 @@ 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())
|
||||
}
|
||||
TypedChunk::WordFidDocids(grenad) => {
|
||||
format!("WordFidDocids {{ number_of_entries: {} }}", grenad.len())
|
||||
}
|
||||
TypedChunk::WordPairProximityDocids(grenad) => {
|
||||
format!("WordPairProximityDocids {{ number_of_entries: {} }}", grenad.len())
|
||||
}
|
||||
@ -99,8 +101,8 @@ impl TypedChunk {
|
||||
TypedChunk::VectorPoints(grenad) => {
|
||||
format!("VectorPoints {{ number_of_entries: {} }}", grenad.len())
|
||||
}
|
||||
TypedChunk::ScriptLanguageDocids(grenad) => {
|
||||
format!("ScriptLanguageDocids {{ number_of_entries: {} }}", grenad.len())
|
||||
TypedChunk::ScriptLanguageDocids(sl_map) => {
|
||||
format!("ScriptLanguageDocids {{ number_of_entries: {} }}", sl_map.len())
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -138,7 +140,11 @@ 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(),
|
||||
@ -146,7 +152,7 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
wtxn,
|
||||
index_is_empty,
|
||||
|value, _buffer| Ok(value),
|
||||
merge_roaring_bitmaps,
|
||||
merge_cbo_roaring_bitmaps,
|
||||
)?;
|
||||
|
||||
let exact_word_docids_iter = unsafe { as_cloneable_grenad(&exact_word_docids_reader) }?;
|
||||
@ -156,7 +162,17 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
wtxn,
|
||||
index_is_empty,
|
||||
|value, _buffer| Ok(value),
|
||||
merge_roaring_bitmaps,
|
||||
merge_cbo_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
|
||||
@ -182,17 +198,6 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
)?;
|
||||
is_merged_database = true;
|
||||
}
|
||||
TypedChunk::WordFidDocids(word_fid_docids_iter) => {
|
||||
append_entries_into_database(
|
||||
word_fid_docids_iter,
|
||||
&index.word_fid_docids,
|
||||
wtxn,
|
||||
index_is_empty,
|
||||
|value, _buffer| Ok(value),
|
||||
merge_cbo_roaring_bitmaps,
|
||||
)?;
|
||||
is_merged_database = true;
|
||||
}
|
||||
TypedChunk::FieldIdFacetNumberDocids(facet_id_number_docids_iter) => {
|
||||
let indexer = FacetsUpdate::new(index, FacetType::Number, facet_id_number_docids_iter);
|
||||
indexer.execute(wtxn)?;
|
||||
@ -339,22 +344,25 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
log::debug!("There are {} entries in the HNSW so far", hnsw_length);
|
||||
index.put_vector_hnsw(wtxn, &new_hnsw)?;
|
||||
}
|
||||
TypedChunk::ScriptLanguageDocids(hash_pair) => {
|
||||
let mut buffer = Vec::new();
|
||||
for (key, value) in hash_pair {
|
||||
buffer.clear();
|
||||
TypedChunk::ScriptLanguageDocids(sl_map) => {
|
||||
for (key, (deletion, addition)) in sl_map {
|
||||
let mut db_key_exists = false;
|
||||
let final_value = match index.script_language_docids.get(wtxn, &key)? {
|
||||
Some(db_values) => {
|
||||
let mut db_value_buffer = Vec::new();
|
||||
serialize_roaring_bitmap(&db_values, &mut db_value_buffer)?;
|
||||
let mut new_value_buffer = Vec::new();
|
||||
serialize_roaring_bitmap(&value, &mut new_value_buffer)?;
|
||||
merge_roaring_bitmaps(&new_value_buffer, &db_value_buffer, &mut buffer)?;
|
||||
RoaringBitmap::deserialize_from(&buffer[..])?
|
||||
db_key_exists = true;
|
||||
(db_values - deletion) | addition
|
||||
}
|
||||
None => value,
|
||||
None => addition,
|
||||
};
|
||||
index.script_language_docids.put(wtxn, &key, &final_value)?;
|
||||
|
||||
if final_value.is_empty() {
|
||||
// If the database entry exists, delete it.
|
||||
if db_key_exists == true {
|
||||
index.script_language_docids.delete(wtxn, &key)?;
|
||||
}
|
||||
} else {
|
||||
index.script_language_docids.put(wtxn, &key, &final_value)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -379,13 +387,6 @@ fn merge_word_docids_reader_into_fst(
|
||||
Ok(builder.into_set())
|
||||
}
|
||||
|
||||
fn merge_roaring_bitmaps(new_value: &[u8], db_value: &[u8], buffer: &mut Vec<u8>) -> Result<()> {
|
||||
let new_value = RoaringBitmap::deserialize_from(new_value)?;
|
||||
let db_value = RoaringBitmap::deserialize_from(db_value)?;
|
||||
let value = new_value | db_value;
|
||||
Ok(serialize_roaring_bitmap(&value, buffer)?)
|
||||
}
|
||||
|
||||
fn merge_cbo_roaring_bitmaps(
|
||||
new_value: &[u8],
|
||||
db_value: &[u8],
|
||||
@ -455,6 +456,7 @@ where
|
||||
R: io::Read + io::Seek,
|
||||
FS: for<'a> Fn(&'a [u8], &'a mut Vec<u8>) -> Result<&'a [u8]>,
|
||||
FM: Fn(&[u8], &[u8], &mut Vec<u8>) -> Result<()>,
|
||||
K: for<'a> heed::BytesDecode<'a>,
|
||||
{
|
||||
puffin::profile_function!(format!("number of entries: {}", data.len()));
|
||||
|
||||
@ -475,6 +477,12 @@ where
|
||||
let mut cursor = data.into_cursor()?;
|
||||
while let Some((key, value)) = cursor.move_on_next()? {
|
||||
if valid_lmdb_key(key) {
|
||||
debug_assert!(
|
||||
K::bytes_decode(&key).is_some(),
|
||||
"Couldn't decode key with the database decoder, key length: {} - key bytes: {:x?}",
|
||||
key.len(),
|
||||
&key
|
||||
);
|
||||
buffer.clear();
|
||||
let value = serialize_value(value, &mut buffer)?;
|
||||
unsafe { database.append(key, value)? };
|
||||
|
@ -21,6 +21,7 @@ pub use self::words_prefixes_fst::WordsPrefixesFst;
|
||||
|
||||
mod available_documents_ids;
|
||||
mod clear_documents;
|
||||
pub(crate) mod del_add;
|
||||
mod delete_documents;
|
||||
pub(crate) mod facet;
|
||||
mod index_documents;
|
||||
|
@ -5,15 +5,15 @@ use heed::types::{ByteSlice, Str};
|
||||
use heed::Database;
|
||||
|
||||
use crate::update::index_documents::{
|
||||
create_sorter, merge_roaring_bitmaps, sorter_into_lmdb_database, valid_lmdb_key,
|
||||
create_sorter, merge_cbo_roaring_bitmaps, sorter_into_lmdb_database, valid_lmdb_key,
|
||||
CursorClonableMmap, MergeFn,
|
||||
};
|
||||
use crate::{Result, RoaringBitmapCodec};
|
||||
use crate::{CboRoaringBitmapCodec, Result};
|
||||
|
||||
pub struct WordPrefixDocids<'t, 'u, 'i> {
|
||||
wtxn: &'t mut heed::RwTxn<'i, 'u>,
|
||||
word_docids: Database<Str, RoaringBitmapCodec>,
|
||||
word_prefix_docids: Database<Str, RoaringBitmapCodec>,
|
||||
word_docids: Database<Str, CboRoaringBitmapCodec>,
|
||||
word_prefix_docids: Database<Str, CboRoaringBitmapCodec>,
|
||||
pub(crate) chunk_compression_type: CompressionType,
|
||||
pub(crate) chunk_compression_level: Option<u32>,
|
||||
pub(crate) max_nb_chunks: Option<usize>,
|
||||
@ -23,8 +23,8 @@ pub struct WordPrefixDocids<'t, 'u, 'i> {
|
||||
impl<'t, 'u, 'i> WordPrefixDocids<'t, 'u, 'i> {
|
||||
pub fn new(
|
||||
wtxn: &'t mut heed::RwTxn<'i, 'u>,
|
||||
word_docids: Database<Str, RoaringBitmapCodec>,
|
||||
word_prefix_docids: Database<Str, RoaringBitmapCodec>,
|
||||
word_docids: Database<Str, CboRoaringBitmapCodec>,
|
||||
word_prefix_docids: Database<Str, CboRoaringBitmapCodec>,
|
||||
) -> WordPrefixDocids<'t, 'u, 'i> {
|
||||
WordPrefixDocids {
|
||||
wtxn,
|
||||
@ -40,6 +40,7 @@ impl<'t, 'u, 'i> WordPrefixDocids<'t, 'u, 'i> {
|
||||
#[logging_timer::time("WordPrefixDocids::{}")]
|
||||
pub fn execute(
|
||||
self,
|
||||
// TODO grenad::Reader<onkv::Reader<Word, obkv::Reader<DelAdd, CboRoaringBitmap>>>
|
||||
mut new_word_docids_iter: grenad::ReaderCursor<CursorClonableMmap>,
|
||||
new_prefix_fst_words: &[String],
|
||||
common_prefix_fst_words: &[&[String]],
|
||||
@ -51,7 +52,8 @@ impl<'t, 'u, 'i> WordPrefixDocids<'t, 'u, 'i> {
|
||||
// and write into it at the same time, therefore we write into another file.
|
||||
let mut prefix_docids_sorter = create_sorter(
|
||||
grenad::SortAlgorithm::Unstable,
|
||||
merge_roaring_bitmaps,
|
||||
// TODO change to merge_deladd_cbo_roaring_bitmaps
|
||||
merge_cbo_roaring_bitmaps,
|
||||
self.chunk_compression_type,
|
||||
self.chunk_compression_level,
|
||||
self.max_nb_chunks,
|
||||
@ -96,6 +98,7 @@ impl<'t, 'u, 'i> WordPrefixDocids<'t, 'u, 'i> {
|
||||
let prefix = std::str::from_utf8(prefix.as_bytes())?;
|
||||
for result in db.prefix_iter(self.wtxn, prefix)? {
|
||||
let (_word, data) = result?;
|
||||
// TODO fake a DelAdd -> Add(`data`)
|
||||
prefix_docids_sorter.insert(prefix, data)?;
|
||||
}
|
||||
}
|
||||
@ -111,11 +114,14 @@ impl<'t, 'u, 'i> WordPrefixDocids<'t, 'u, 'i> {
|
||||
drop(iter);
|
||||
|
||||
// We finally write the word prefix docids into the LMDB database.
|
||||
// TODO introduce a new function that is similar to `append_entries_into_database`
|
||||
// and accepts the `merge_deladd_cbo_roaring_bitmaps` function
|
||||
sorter_into_lmdb_database(
|
||||
self.wtxn,
|
||||
*self.word_prefix_docids.as_polymorph(),
|
||||
prefix_docids_sorter,
|
||||
merge_roaring_bitmaps,
|
||||
// TODO change to `merge_deladd_cbo_roaring_bitmaps`
|
||||
merge_cbo_roaring_bitmaps,
|
||||
)?;
|
||||
|
||||
Ok(())
|
||||
@ -127,6 +133,7 @@ fn write_prefixes_in_sorter(
|
||||
sorter: &mut grenad::Sorter<MergeFn>,
|
||||
) -> Result<()> {
|
||||
for (key, data_slices) in prefixes.drain() {
|
||||
// TODO merge keys before inserting them in the sorter
|
||||
for data in data_slices {
|
||||
if valid_lmdb_key(&key) {
|
||||
sorter.insert(&key, data)?;
|
||||
|
Reference in New Issue
Block a user