MeiliSearch/milli/src/update/index_documents/typed_chunk.rs
2023-11-20 10:14:57 +01:00

584 lines
24 KiB
Rust

use std::collections::{HashMap, HashSet};
use std::convert::TryInto;
use std::fs::File;
use std::io::{self, BufReader};
use bytemuck::allocation::pod_collect_to_vec;
use charabia::{Language, Script};
use grenad::MergerBuilder;
use heed::types::ByteSlice;
use heed::RwTxn;
use log::error;
use obkv::{KvReader, KvWriter};
use ordered_float::OrderedFloat;
use roaring::RoaringBitmap;
use super::helpers::{
self, merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap, merge_ignore_values,
valid_lmdb_key, CursorClonableMmap,
};
use super::{ClonableMmap, MergeFn};
use crate::distance::NDotProductPoint;
use crate::error::UserError;
use crate::external_documents_ids::{DocumentOperation, DocumentOperationKind};
use crate::facet::FacetType;
use crate::index::db_name::DOCUMENTS;
use crate::index::Hnsw;
use crate::update::del_add::{deladd_serialize_add_side, DelAdd, KvReaderDelAdd};
use crate::update::facet::FacetsUpdate;
use crate::update::index_documents::helpers::{as_cloneable_grenad, try_split_array_at};
use crate::{
lat_lng_to_xyz, DocumentId, FieldId, GeoPoint, Index, Result, SerializationError, BEU32,
};
pub(crate) enum TypedChunk {
FieldIdDocidFacetStrings(grenad::Reader<CursorClonableMmap>),
FieldIdDocidFacetNumbers(grenad::Reader<CursorClonableMmap>),
Documents(grenad::Reader<CursorClonableMmap>),
FieldIdWordCountDocids(grenad::Reader<BufReader<File>>),
WordDocids {
word_docids_reader: grenad::Reader<BufReader<File>>,
exact_word_docids_reader: grenad::Reader<BufReader<File>>,
word_fid_docids_reader: grenad::Reader<BufReader<File>>,
},
WordPositionDocids(grenad::Reader<BufReader<File>>),
WordPairProximityDocids(grenad::Reader<BufReader<File>>),
FieldIdFacetStringDocids(grenad::Reader<BufReader<File>>),
FieldIdFacetNumberDocids(grenad::Reader<BufReader<File>>),
FieldIdFacetExistsDocids(grenad::Reader<BufReader<File>>),
FieldIdFacetIsNullDocids(grenad::Reader<BufReader<File>>),
FieldIdFacetIsEmptyDocids(grenad::Reader<BufReader<File>>),
GeoPoints(grenad::Reader<BufReader<File>>),
VectorPoints(grenad::Reader<BufReader<File>>),
ScriptLanguageDocids(HashMap<(Script, Language), (RoaringBitmap, RoaringBitmap)>),
}
impl TypedChunk {
pub fn to_debug_string(&self) -> String {
match self {
TypedChunk::FieldIdDocidFacetStrings(grenad) => {
format!("FieldIdDocidFacetStrings {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::FieldIdDocidFacetNumbers(grenad) => {
format!("FieldIdDocidFacetNumbers {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::Documents(grenad) => {
format!("Documents {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::FieldIdWordCountDocids(grenad) => {
format!("FieldIdWordcountDocids {{ number_of_entries: {} }}", grenad.len())
}
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(),
word_fid_docids_reader.len()
),
TypedChunk::WordPositionDocids(grenad) => {
format!("WordPositionDocids {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::WordPairProximityDocids(grenad) => {
format!("WordPairProximityDocids {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::FieldIdFacetStringDocids(grenad) => {
format!("FieldIdFacetStringDocids {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::FieldIdFacetNumberDocids(grenad) => {
format!("FieldIdFacetNumberDocids {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::FieldIdFacetExistsDocids(grenad) => {
format!("FieldIdFacetExistsDocids {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::FieldIdFacetIsNullDocids(grenad) => {
format!("FieldIdFacetIsNullDocids {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::FieldIdFacetIsEmptyDocids(grenad) => {
format!("FieldIdFacetIsEmptyDocids {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::GeoPoints(grenad) => {
format!("GeoPoints {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::VectorPoints(grenad) => {
format!("VectorPoints {{ number_of_entries: {} }}", grenad.len())
}
TypedChunk::ScriptLanguageDocids(sl_map) => {
format!("ScriptLanguageDocids {{ number_of_entries: {} }}", sl_map.len())
}
}
}
}
/// Write typed chunk in the corresponding LMDB database of the provided index.
/// Return new documents seen.
pub(crate) fn write_typed_chunk_into_index(
typed_chunk: TypedChunk,
index: &Index,
wtxn: &mut RwTxn,
index_is_empty: bool,
) -> Result<(RoaringBitmap, bool)> {
puffin::profile_function!(typed_chunk.to_debug_string());
let mut is_merged_database = false;
match typed_chunk {
TypedChunk::Documents(obkv_documents_iter) => {
let mut operations: Vec<DocumentOperation> = Default::default();
let mut docids = index.documents_ids(wtxn)?;
let mut cursor = obkv_documents_iter.into_cursor()?;
while let Some((key, reader)) = cursor.move_on_next()? {
let mut writer: KvWriter<_, FieldId> = KvWriter::memory();
let reader: KvReader<FieldId> = KvReader::new(reader);
let (document_id_bytes, external_id_bytes) = try_split_array_at(key)
.ok_or(SerializationError::Decoding { db_name: Some(DOCUMENTS) })?;
let docid = DocumentId::from_be_bytes(document_id_bytes);
let external_id = std::str::from_utf8(external_id_bytes)?;
for (field_id, value) in reader.iter() {
let del_add_reader = KvReaderDelAdd::new(value);
if let Some(addition) = del_add_reader.get(DelAdd::Addition) {
writer.insert(field_id, addition)?;
}
}
let db = index.documents.remap_data_type::<ByteSlice>();
if !writer.is_empty() {
db.put(wtxn, &BEU32::new(docid), &writer.into_inner().unwrap())?;
operations.push(DocumentOperation {
external_id: external_id.to_string(),
internal_id: docid,
kind: DocumentOperationKind::Create,
});
docids.insert(docid);
} else {
db.delete(wtxn, &BEU32::new(docid))?;
operations.push(DocumentOperation {
external_id: external_id.to_string(),
internal_id: docid,
kind: DocumentOperationKind::Delete,
});
docids.remove(docid);
}
}
let external_documents_docids = index.external_documents_ids();
external_documents_docids.apply(wtxn, operations)?;
index.put_documents_ids(wtxn, &docids)?;
}
TypedChunk::FieldIdWordCountDocids(fid_word_count_docids_iter) => {
append_entries_into_database(
fid_word_count_docids_iter,
&index.field_id_word_count_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
is_merged_database = true;
}
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(),
&index.word_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
let exact_word_docids_iter = unsafe { as_cloneable_grenad(&exact_word_docids_reader) }?;
append_entries_into_database(
exact_word_docids_iter.clone(),
&index.exact_word_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
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,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
// create fst from word docids
let fst = merge_word_docids_reader_into_fst(word_docids_iter, exact_word_docids_iter)?;
let db_fst = index.words_fst(wtxn)?;
// merge new fst with database fst
let union_stream = fst.op().add(db_fst.stream()).union();
let mut builder = fst::SetBuilder::memory();
builder.extend_stream(union_stream)?;
let fst = builder.into_set();
index.put_words_fst(wtxn, &fst)?;
is_merged_database = true;
}
TypedChunk::WordPositionDocids(word_position_docids_iter) => {
append_entries_into_database(
word_position_docids_iter,
&index.word_position_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
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)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetStringDocids(facet_id_string_docids_iter) => {
let indexer = FacetsUpdate::new(index, FacetType::String, facet_id_string_docids_iter);
indexer.execute(wtxn)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetExistsDocids(facet_id_exists_docids) => {
append_entries_into_database(
facet_id_exists_docids,
&index.facet_id_exists_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetIsNullDocids(facet_id_is_null_docids) => {
append_entries_into_database(
facet_id_is_null_docids,
&index.facet_id_is_null_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetIsEmptyDocids(facet_id_is_empty_docids) => {
append_entries_into_database(
facet_id_is_empty_docids,
&index.facet_id_is_empty_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
is_merged_database = true;
}
TypedChunk::WordPairProximityDocids(word_pair_proximity_docids_iter) => {
append_entries_into_database(
word_pair_proximity_docids_iter,
&index.word_pair_proximity_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
is_merged_database = true;
}
TypedChunk::FieldIdDocidFacetNumbers(fid_docid_facet_number) => {
let index_fid_docid_facet_numbers =
index.field_id_docid_facet_f64s.remap_types::<ByteSlice, ByteSlice>();
let mut cursor = fid_docid_facet_number.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
let reader = KvReaderDelAdd::new(value);
if valid_lmdb_key(key) {
match (reader.get(DelAdd::Deletion), reader.get(DelAdd::Addition)) {
(None, None) => {}
(None, Some(new)) => index_fid_docid_facet_numbers.put(wtxn, key, new)?,
(Some(_), None) => {
index_fid_docid_facet_numbers.delete(wtxn, key)?;
}
(Some(_), Some(new)) => {
index_fid_docid_facet_numbers.put(wtxn, key, new)?
}
}
}
}
}
TypedChunk::FieldIdDocidFacetStrings(fid_docid_facet_string) => {
let index_fid_docid_facet_strings =
index.field_id_docid_facet_strings.remap_types::<ByteSlice, ByteSlice>();
let mut cursor = fid_docid_facet_string.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
let reader = KvReaderDelAdd::new(value);
if valid_lmdb_key(key) {
match (reader.get(DelAdd::Deletion), reader.get(DelAdd::Addition)) {
(None, None) => {}
(None, Some(new)) => index_fid_docid_facet_strings.put(wtxn, key, new)?,
(Some(_), None) => {
index_fid_docid_facet_strings.delete(wtxn, key)?;
}
(Some(_), Some(new)) => {
index_fid_docid_facet_strings.put(wtxn, key, new)?
}
}
}
}
}
TypedChunk::GeoPoints(geo_points) => {
let mut rtree = index.geo_rtree(wtxn)?.unwrap_or_default();
let mut geo_faceted_docids = index.geo_faceted_documents_ids(wtxn)?;
let mut cursor = geo_points.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
// convert the key back to a u32 (4 bytes)
let docid = key.try_into().map(DocumentId::from_be_bytes).unwrap();
let deladd_obkv = KvReaderDelAdd::new(value);
if let Some(value) = deladd_obkv.get(DelAdd::Deletion) {
let geopoint = extract_geo_point(value, docid);
rtree.remove(&geopoint);
geo_faceted_docids.remove(docid);
}
if let Some(value) = deladd_obkv.get(DelAdd::Addition) {
let geopoint = extract_geo_point(value, docid);
rtree.insert(geopoint);
geo_faceted_docids.insert(docid);
}
}
index.put_geo_rtree(wtxn, &rtree)?;
index.put_geo_faceted_documents_ids(wtxn, &geo_faceted_docids)?;
}
TypedChunk::VectorPoints(vector_points) => {
let mut vectors_set = HashSet::new();
// We extract and store the previous vectors
if let Some(hnsw) = index.vector_hnsw(wtxn)? {
for (pid, point) in hnsw.iter() {
let pid_key = BEU32::new(pid.into_inner());
let docid = index.vector_id_docid.get(wtxn, &pid_key)?.unwrap().get();
let vector: Vec<_> = point.iter().copied().map(OrderedFloat).collect();
vectors_set.insert((docid, vector));
}
}
let mut cursor = vector_points.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
// convert the key back to a u32 (4 bytes)
let (left, _index) = try_split_array_at(key).unwrap();
let docid = DocumentId::from_be_bytes(left);
let vector_deladd_obkv = KvReaderDelAdd::new(value);
if let Some(value) = vector_deladd_obkv.get(DelAdd::Deletion) {
// convert the vector back to a Vec<f32>
let vector = pod_collect_to_vec(value).into_iter().map(OrderedFloat).collect();
let key = (docid, vector);
if !vectors_set.remove(&key) {
error!("Unable to delete the vector: {:?}", key.1);
}
}
if let Some(value) = vector_deladd_obkv.get(DelAdd::Addition) {
// convert the vector back to a Vec<f32>
let vector = pod_collect_to_vec(value).into_iter().map(OrderedFloat).collect();
vectors_set.insert((docid, vector));
}
}
// Extract the most common vector dimension
let expected_dimension_size = {
let mut dims = HashMap::new();
vectors_set.iter().for_each(|(_, v)| *dims.entry(v.len()).or_insert(0) += 1);
dims.into_iter().max_by_key(|(_, count)| *count).map(|(len, _)| len)
};
// Ensure that the vector lengths are correct and
// prepare the vectors before inserting them in the HNSW.
let mut points = Vec::new();
let mut docids = Vec::new();
for (docid, vector) in vectors_set {
if expected_dimension_size.map_or(false, |expected| expected != vector.len()) {
return Err(UserError::InvalidVectorDimensions {
expected: expected_dimension_size.unwrap_or(vector.len()),
found: vector.len(),
}
.into());
} else {
let vector = vector.into_iter().map(OrderedFloat::into_inner).collect();
points.push(NDotProductPoint::new(vector));
docids.push(docid);
}
}
let hnsw_length = points.len();
let (new_hnsw, pids) = Hnsw::builder().build_hnsw(points);
assert_eq!(docids.len(), pids.len());
// Store the vectors in the point-docid relation database
index.vector_id_docid.clear(wtxn)?;
for (docid, pid) in docids.into_iter().zip(pids) {
index.vector_id_docid.put(
wtxn,
&BEU32::new(pid.into_inner()),
&BEU32::new(docid),
)?;
}
log::debug!("There are {} entries in the HNSW so far", hnsw_length);
index.put_vector_hnsw(wtxn, &new_hnsw)?;
}
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) => {
db_key_exists = true;
(db_values - deletion) | addition
}
None => addition,
};
if final_value.is_empty() {
// If the database entry exists, delete it.
if db_key_exists {
index.script_language_docids.delete(wtxn, &key)?;
}
} else {
index.script_language_docids.put(wtxn, &key, &final_value)?;
}
}
}
}
Ok((RoaringBitmap::new(), is_merged_database))
}
/// Converts the latitude and longitude back to an xyz GeoPoint.
fn extract_geo_point(value: &[u8], docid: DocumentId) -> GeoPoint {
let (lat, tail) = helpers::try_split_array_at::<u8, 8>(value).unwrap();
let (lng, _) = helpers::try_split_array_at::<u8, 8>(tail).unwrap();
let point = [f64::from_ne_bytes(lat), f64::from_ne_bytes(lng)];
let xyz_point = lat_lng_to_xyz(&point);
GeoPoint::new(xyz_point, (docid, point))
}
fn merge_word_docids_reader_into_fst(
word_docids_iter: grenad::Reader<io::Cursor<ClonableMmap>>,
exact_word_docids_iter: grenad::Reader<io::Cursor<ClonableMmap>>,
) -> Result<fst::Set<Vec<u8>>> {
let mut merger_builder = MergerBuilder::new(merge_ignore_values as MergeFn);
merger_builder.push(word_docids_iter.into_cursor()?);
merger_builder.push(exact_word_docids_iter.into_cursor()?);
let mut iter = merger_builder.build().into_stream_merger_iter()?;
let mut builder = fst::SetBuilder::memory();
while let Some((k, _)) = iter.next()? {
builder.insert(k)?;
}
Ok(builder.into_set())
}
/// Write provided entries in database using serialize_value function.
/// merge_values function is used if an entry already exist in the database.
fn write_entries_into_database<R, K, V, FS, FM>(
data: grenad::Reader<R>,
database: &heed::Database<K, V>,
wtxn: &mut RwTxn,
index_is_empty: bool,
serialize_value: FS,
merge_values: FM,
) -> Result<()>
where
R: io::Read + io::Seek,
FS: for<'a> Fn(&'a [u8], &'a mut Vec<u8>) -> Result<&'a [u8]>,
FM: for<'a> Fn(&[u8], &[u8], &'a mut Vec<u8>) -> Result<Option<&'a [u8]>>,
{
puffin::profile_function!(format!("number of entries: {}", data.len()));
let mut buffer = Vec::new();
let database = database.remap_types::<ByteSlice, ByteSlice>();
let mut cursor = data.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
if valid_lmdb_key(key) {
buffer.clear();
let value = if index_is_empty {
Some(serialize_value(value, &mut buffer)?)
} else {
match database.get(wtxn, key)? {
Some(prev_value) => merge_values(value, prev_value, &mut buffer)?,
None => Some(serialize_value(value, &mut buffer)?),
}
};
match value {
Some(value) => database.put(wtxn, key, value)?,
None => {
database.delete(wtxn, key)?;
}
}
}
}
Ok(())
}
/// Write provided entries in database using serialize_value function.
/// merge_values function is used if an entry already exist in the database.
/// All provided entries must be ordered.
/// If the index is not empty, write_entries_into_database is called instead.
fn append_entries_into_database<R, K, V, FS, FM>(
data: grenad::Reader<R>,
database: &heed::Database<K, V>,
wtxn: &mut RwTxn,
index_is_empty: bool,
serialize_value: FS,
merge_values: FM,
) -> Result<()>
where
R: io::Read + io::Seek,
FS: for<'a> Fn(&'a [u8], &'a mut Vec<u8>) -> Result<&'a [u8]>,
FM: for<'a> Fn(&[u8], &[u8], &'a mut Vec<u8>) -> Result<Option<&'a [u8]>>,
K: for<'a> heed::BytesDecode<'a>,
{
puffin::profile_function!(format!("number of entries: {}", data.len()));
if !index_is_empty {
return write_entries_into_database(
data,
database,
wtxn,
false,
serialize_value,
merge_values,
);
}
let mut buffer = Vec::new();
let mut database = database.iter_mut(wtxn)?.remap_types::<ByteSlice, ByteSlice>();
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)? };
}
}
Ok(())
}