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https://github.com/meilisearch/MeiliSearch
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Merge pull request #4160 from meilisearch/diff-indexing-vector-points
Diff Indexing for the vector points
This commit is contained in:
commit
2544bc1416
@ -1,15 +1,25 @@
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use std::cmp::Ordering;
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use std::convert::TryFrom;
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use std::convert::TryFrom;
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use std::fs::File;
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use std::fs::File;
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use std::io::{self, BufReader};
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use std::io::{self, BufReader, BufWriter};
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use std::mem::size_of;
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use std::str::from_utf8;
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use bytemuck::cast_slice;
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use bytemuck::cast_slice;
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use grenad::Writer;
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use itertools::EitherOrBoth;
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use ordered_float::OrderedFloat;
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use serde_json::{from_slice, Value};
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use serde_json::{from_slice, Value};
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use super::helpers::{create_writer, writer_into_reader, GrenadParameters};
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use super::helpers::{create_writer, writer_into_reader, GrenadParameters};
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use crate::error::UserError;
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use crate::error::UserError;
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use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
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use crate::update::index_documents::helpers::try_split_at;
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use crate::update::index_documents::helpers::try_split_at;
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use crate::{DocumentId, FieldId, InternalError, Result, VectorOrArrayOfVectors};
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use crate::{DocumentId, FieldId, InternalError, Result, VectorOrArrayOfVectors};
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/// The length of the elements that are always in the buffer when inserting new values.
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const TRUNCATE_SIZE: usize = size_of::<DocumentId>();
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/// Extracts the embedding vector contained in each document under the `_vectors` field.
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/// Extracts the embedding vector contained in each document under the `_vectors` field.
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///
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///
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/// Returns the generated grenad reader containing the docid as key associated to the Vec<f32>
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/// Returns the generated grenad reader containing the docid as key associated to the Vec<f32>
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@ -27,45 +37,112 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
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tempfile::tempfile()?,
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tempfile::tempfile()?,
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);
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);
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let mut key_buffer = Vec::new();
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let mut cursor = obkv_documents.into_cursor()?;
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let mut cursor = obkv_documents.into_cursor()?;
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while let Some((key, value)) = cursor.move_on_next()? {
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while let Some((key, value)) = cursor.move_on_next()? {
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// this must always be serialized as (docid, external_docid);
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// this must always be serialized as (docid, external_docid);
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let (docid_bytes, external_id_bytes) =
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let (docid_bytes, external_id_bytes) =
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try_split_at(key, std::mem::size_of::<DocumentId>()).unwrap();
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try_split_at(key, std::mem::size_of::<DocumentId>()).unwrap();
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debug_assert!(std::str::from_utf8(external_id_bytes).is_ok());
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debug_assert!(from_utf8(external_id_bytes).is_ok());
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let obkv = obkv::KvReader::new(value);
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let obkv = obkv::KvReader::new(value);
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key_buffer.clear();
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key_buffer.extend_from_slice(docid_bytes);
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// since we only needs the primary key when we throw an error we create this getter to
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// since we only needs the primary key when we throw an error we create this getter to
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// lazily get it when needed
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// lazily get it when needed
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let document_id = || -> Value { std::str::from_utf8(external_id_bytes).unwrap().into() };
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let document_id = || -> Value { from_utf8(external_id_bytes).unwrap().into() };
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// first we retrieve the _vectors field
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// first we retrieve the _vectors field
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if let Some(vectors) = obkv.get(vectors_fid) {
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if let Some(value) = obkv.get(vectors_fid) {
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// extract the vectors
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let vectors_obkv = KvReaderDelAdd::new(value);
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let vectors = match from_slice(vectors) {
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Ok(vectors) => VectorOrArrayOfVectors::into_array_of_vectors(vectors),
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Err(_) => {
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return Err(UserError::InvalidVectorsType {
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document_id: document_id(),
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value: from_slice(vectors).map_err(InternalError::SerdeJson)?,
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}
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.into())
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}
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};
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if let Some(vectors) = vectors {
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// then we extract the values
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for (i, vector) in vectors.into_iter().enumerate().take(u16::MAX as usize) {
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let del_vectors = vectors_obkv
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let index = u16::try_from(i).unwrap();
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.get(DelAdd::Deletion)
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let mut key = docid_bytes.to_vec();
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.map(|vectors| extract_vectors(vectors, document_id))
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key.extend_from_slice(&index.to_be_bytes());
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.transpose()?
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let bytes = cast_slice(&vector);
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.flatten();
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writer.insert(key, bytes)?;
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let add_vectors = vectors_obkv
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}
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.get(DelAdd::Addition)
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}
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.map(|vectors| extract_vectors(vectors, document_id))
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.transpose()?
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.flatten();
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// and we finally push the unique vectors into the writer
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push_vectors_diff(
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&mut writer,
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&mut key_buffer,
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del_vectors.unwrap_or_default(),
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add_vectors.unwrap_or_default(),
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)?;
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}
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}
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// else => the `_vectors` object was `null`, there is nothing to do
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}
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}
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writer_into_reader(writer)
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writer_into_reader(writer)
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}
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}
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/// Computes the diff between both Del and Add numbers and
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/// only inserts the parts that differ in the sorter.
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fn push_vectors_diff(
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writer: &mut Writer<BufWriter<File>>,
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key_buffer: &mut Vec<u8>,
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mut del_vectors: Vec<Vec<f32>>,
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mut add_vectors: Vec<Vec<f32>>,
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) -> Result<()> {
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// We sort and dedup the vectors
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del_vectors.sort_unstable_by(|a, b| compare_vectors(a, b));
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add_vectors.sort_unstable_by(|a, b| compare_vectors(a, b));
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del_vectors.dedup_by(|a, b| compare_vectors(a, b).is_eq());
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add_vectors.dedup_by(|a, b| compare_vectors(a, b).is_eq());
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let merged_vectors_iter =
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itertools::merge_join_by(del_vectors, add_vectors, |del, add| compare_vectors(del, add));
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// insert vectors into the writer
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for (i, eob) in merged_vectors_iter.into_iter().enumerate().take(u16::MAX as usize) {
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// Generate the key by extending the unique index to it.
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key_buffer.truncate(TRUNCATE_SIZE);
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let index = u16::try_from(i).unwrap();
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key_buffer.extend_from_slice(&index.to_be_bytes());
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match eob {
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EitherOrBoth::Both(_, _) => (), // no need to touch anything
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EitherOrBoth::Left(vector) => {
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// We insert only the Del part of the Obkv to inform
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// that we only want to remove all those vectors.
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let mut obkv = KvWriterDelAdd::memory();
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obkv.insert(DelAdd::Deletion, cast_slice(&vector))?;
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let bytes = obkv.into_inner()?;
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writer.insert(&key_buffer, bytes)?;
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}
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EitherOrBoth::Right(vector) => {
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// We insert only the Add part of the Obkv to inform
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// that we only want to remove all those vectors.
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let mut obkv = KvWriterDelAdd::memory();
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obkv.insert(DelAdd::Addition, cast_slice(&vector))?;
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let bytes = obkv.into_inner()?;
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writer.insert(&key_buffer, bytes)?;
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}
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}
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}
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Ok(())
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}
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/// Compares two vectors by using the OrderingFloat helper.
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fn compare_vectors(a: &[f32], b: &[f32]) -> Ordering {
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a.iter().copied().map(OrderedFloat).cmp(b.iter().copied().map(OrderedFloat))
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}
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/// Extracts the vectors from a JSON value.
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fn extract_vectors(value: &[u8], document_id: impl Fn() -> Value) -> Result<Option<Vec<Vec<f32>>>> {
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match from_slice(value) {
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Ok(vectors) => Ok(VectorOrArrayOfVectors::into_array_of_vectors(vectors)),
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Err(_) => Err(UserError::InvalidVectorsType {
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document_id: document_id(),
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value: from_slice(value).map_err(InternalError::SerdeJson)?,
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}
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.into()),
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}
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}
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@ -1,4 +1,4 @@
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use std::collections::HashMap;
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use std::collections::{HashMap, HashSet};
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use std::convert::TryInto;
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use std::convert::TryInto;
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use std::fs::File;
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use std::fs::File;
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use std::io::{self, BufReader};
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use std::io::{self, BufReader};
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@ -8,7 +8,9 @@ use charabia::{Language, Script};
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use grenad::MergerBuilder;
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use grenad::MergerBuilder;
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use heed::types::ByteSlice;
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use heed::types::ByteSlice;
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use heed::RwTxn;
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use heed::RwTxn;
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use log::error;
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use obkv::{KvReader, KvWriter};
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use obkv::{KvReader, KvWriter};
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use ordered_float::OrderedFloat;
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use roaring::RoaringBitmap;
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use roaring::RoaringBitmap;
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use super::helpers::{self, merge_ignore_values, valid_lmdb_key, CursorClonableMmap};
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use super::helpers::{self, merge_ignore_values, valid_lmdb_key, CursorClonableMmap};
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@ -22,10 +24,9 @@ use crate::index::Hnsw;
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use crate::update::del_add::{DelAdd, KvReaderDelAdd};
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use crate::update::del_add::{DelAdd, KvReaderDelAdd};
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use crate::update::facet::FacetsUpdate;
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use crate::update::facet::FacetsUpdate;
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use crate::update::index_documents::helpers::{as_cloneable_grenad, try_split_array_at};
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use crate::update::index_documents::helpers::{as_cloneable_grenad, try_split_array_at};
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use crate::update::index_documents::validate_document_id_value;
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use crate::{
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use crate::{
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lat_lng_to_xyz, CboRoaringBitmapCodec, DocumentId, FieldId, GeoPoint, Index, InternalError,
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lat_lng_to_xyz, CboRoaringBitmapCodec, DocumentId, FieldId, GeoPoint, Index, Result,
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Result, SerializationError, BEU32,
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SerializationError, BEU32,
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};
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};
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pub(crate) enum TypedChunk {
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pub(crate) enum TypedChunk {
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@ -366,44 +367,70 @@ pub(crate) fn write_typed_chunk_into_index(
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index.put_geo_faceted_documents_ids(wtxn, &geo_faceted_docids)?;
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index.put_geo_faceted_documents_ids(wtxn, &geo_faceted_docids)?;
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}
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}
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TypedChunk::VectorPoints(vector_points) => {
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TypedChunk::VectorPoints(vector_points) => {
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let (pids, mut points): (Vec<_>, Vec<_>) = match index.vector_hnsw(wtxn)? {
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let mut vectors_set = HashSet::new();
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Some(hnsw) => hnsw.iter().map(|(pid, point)| (pid, point.clone())).unzip(),
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// We extract and store the previous vectors
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None => Default::default(),
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if let Some(hnsw) = index.vector_hnsw(wtxn)? {
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};
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for (pid, point) in hnsw.iter() {
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let pid_key = BEU32::new(pid.into_inner());
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// Convert the PointIds into DocumentIds
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let docid = index.vector_id_docid.get(wtxn, &pid_key)?.unwrap().get();
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let mut docids = Vec::new();
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let vector: Vec<_> = point.iter().copied().map(OrderedFloat).collect();
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for pid in pids {
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vectors_set.insert((docid, vector));
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let docid =
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}
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index.vector_id_docid.get(wtxn, &BEU32::new(pid.into_inner()))?.unwrap();
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docids.push(docid.get());
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}
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}
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let mut expected_dimensions = points.get(0).map(|p| p.len());
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let mut cursor = vector_points.into_cursor()?;
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let mut cursor = vector_points.into_cursor()?;
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while let Some((key, value)) = cursor.move_on_next()? {
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while let Some((key, value)) = cursor.move_on_next()? {
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// convert the key back to a u32 (4 bytes)
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// convert the key back to a u32 (4 bytes)
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let (left, _index) = try_split_array_at(key).unwrap();
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let (left, _index) = try_split_array_at(key).unwrap();
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let docid = DocumentId::from_be_bytes(left);
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let docid = DocumentId::from_be_bytes(left);
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// convert the vector back to a Vec<f32>
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let vector: Vec<f32> = pod_collect_to_vec(value);
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// TODO Inform the user about the document that has a wrong `_vectors`
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let vector_deladd_obkv = KvReaderDelAdd::new(value);
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let found = vector.len();
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if let Some(value) = vector_deladd_obkv.get(DelAdd::Deletion) {
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let expected = *expected_dimensions.get_or_insert(found);
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// convert the vector back to a Vec<f32>
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if expected != found {
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let vector = pod_collect_to_vec(value).into_iter().map(OrderedFloat).collect();
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return Err(UserError::InvalidVectorDimensions { expected, found }.into());
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let key = (docid, vector);
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if !vectors_set.remove(&key) {
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error!("Unable to delete the vector: {:?}", key.1);
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}
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}
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if let Some(value) = vector_deladd_obkv.get(DelAdd::Addition) {
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// convert the vector back to a Vec<f32>
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let vector = pod_collect_to_vec(value).into_iter().map(OrderedFloat).collect();
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vectors_set.insert((docid, vector));
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}
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}
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points.push(NDotProductPoint::new(vector));
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docids.push(docid);
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}
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}
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assert_eq!(docids.len(), points.len());
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// Extract the most common vector dimension
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let expected_dimension_size = {
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let mut dims = HashMap::new();
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vectors_set.iter().for_each(|(_, v)| *dims.entry(v.len()).or_insert(0) += 1);
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dims.into_iter().max_by_key(|(_, count)| *count).map(|(len, _)| len)
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};
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// Ensure that the vector lenghts are correct and
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// prepare the vectors before inserting them in the HNSW.
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let mut points = Vec::new();
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let mut docids = Vec::new();
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for (docid, vector) in vectors_set {
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if expected_dimension_size.map_or(false, |expected| expected != vector.len()) {
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return Err(UserError::InvalidVectorDimensions {
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expected: expected_dimension_size.unwrap_or(vector.len()),
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found: vector.len(),
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}
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.into());
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} else {
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let vector = vector.into_iter().map(OrderedFloat::into_inner).collect();
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points.push(NDotProductPoint::new(vector));
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docids.push(docid);
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}
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}
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let hnsw_length = points.len();
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let hnsw_length = points.len();
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let (new_hnsw, pids) = Hnsw::builder().build_hnsw(points);
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let (new_hnsw, pids) = Hnsw::builder().build_hnsw(points);
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assert_eq!(docids.len(), pids.len());
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// Store the vectors in the point-docid relation database
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index.vector_id_docid.clear(wtxn)?;
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index.vector_id_docid.clear(wtxn)?;
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for (docid, pid) in docids.into_iter().zip(pids) {
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for (docid, pid) in docids.into_iter().zip(pids) {
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index.vector_id_docid.put(
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index.vector_id_docid.put(
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