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https://github.com/meilisearch/meilisearch.git
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Add buffer to the obkv writter
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8ccf32d1a0
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@ -156,7 +156,8 @@ fn extract_tokens_from_document(
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let tokens = process_tokens(tokenizer.tokenize(field))
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.take_while(|(p, _)| (*p as u32) < max_positions_per_attributes);
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let mut writer = KvWriterU16::memory();
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buffers.obkv_buffer.clear();
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let mut writer = KvWriterU16::new(&mut buffers.obkv_buffer);
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for (index, token) in tokens {
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// if a language has been detected for the token, we update the counter.
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if let Some(language) = token.language {
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@ -294,4 +295,6 @@ struct Buffers {
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key_buffer: Vec<u8>,
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// the field buffer for each fields desserialization, and must be cleared between each field.
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field_buffer: String,
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// buffer used to store the value data containing an obkv.
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obkv_buffer: Vec<u8>,
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}
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@ -1,3 +1,4 @@
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use std::collections::HashSet;
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use std::fs::File;
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use std::io::{self, BufReader};
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@ -33,18 +34,39 @@ pub fn extract_word_position_docids<R: io::Read + io::Seek>(
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max_memory,
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);
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let mut word_positions: HashSet<(u16, Vec<u8>)> = HashSet::new();
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let mut current_document_id = None;
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let mut key_buffer = Vec::new();
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let mut cursor = docid_word_positions.into_cursor()?;
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while let Some((key, value)) = cursor.move_on_next()? {
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let (document_id_bytes, fid_bytes) = try_split_array_at(key)
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let (document_id_bytes, _fid_bytes) = try_split_array_at(key)
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.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
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let document_id = DocumentId::from_be_bytes(document_id_bytes);
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if current_document_id.map_or(false, |id| document_id != id) {
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for (position, word_bytes) in word_positions.iter() {
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key_buffer.clear();
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key_buffer.extend_from_slice(word_bytes);
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key_buffer.push(0);
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key_buffer.extend_from_slice(&position.to_be_bytes());
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word_position_docids_sorter.insert(&key_buffer, document_id.to_ne_bytes())?;
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}
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word_positions.clear();
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}
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current_document_id = Some(document_id);
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for (position, word_bytes) in KvReaderU16::new(&value).iter() {
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key_buffer.clear();
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key_buffer.extend_from_slice(word_bytes);
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key_buffer.push(0);
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let position = bucketed_position(position);
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word_positions.insert((position, word_bytes.to_vec()));
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}
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}
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if let Some(document_id) = current_document_id {
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for (position, word_bytes) in word_positions {
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key_buffer.clear();
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key_buffer.extend_from_slice(&word_bytes);
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key_buffer.push(0);
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key_buffer.extend_from_slice(&position.to_be_bytes());
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word_position_docids_sorter.insert(&key_buffer, document_id.to_ne_bytes())?;
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}
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