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https://github.com/meilisearch/meilisearch.git
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Fix and optimize word_prefix_pair_proximity_docids database
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@ -1,15 +1,13 @@
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use std::str;
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use std::collections::HashMap;
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use fst::automaton::{Automaton, Str};
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use fst::{IntoStreamer, Streamer};
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use fst::IntoStreamer;
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use grenad::CompressionType;
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use heed::types::ByteSlice;
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use heed::BytesEncode;
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use log::debug;
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use slice_group_by::GroupBy;
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use crate::heed_codec::StrStrU8Codec;
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use crate::update::index_documents::{
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create_sorter, merge_cbo_roaring_bitmaps, sorter_into_lmdb_database, WriteMethod,
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create_sorter, merge_cbo_roaring_bitmaps, sorter_into_lmdb_database, MergeFn, WriteMethod,
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};
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use crate::{Index, Result};
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@ -20,6 +18,7 @@ pub struct WordPrefixPairProximityDocids<'t, 'u, 'i> {
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pub(crate) chunk_compression_level: Option<u32>,
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pub(crate) max_nb_chunks: Option<usize>,
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pub(crate) max_memory: Option<usize>,
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threshold: u32,
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}
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impl<'t, 'u, 'i> WordPrefixPairProximityDocids<'t, 'u, 'i> {
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@ -34,16 +33,26 @@ impl<'t, 'u, 'i> WordPrefixPairProximityDocids<'t, 'u, 'i> {
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chunk_compression_level: None,
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max_nb_chunks: None,
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max_memory: None,
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threshold: 100,
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}
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}
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/// Set the number of words required to make a prefix be part of the words prefixes
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/// database. If a word prefix is supposed to match more than this number of words in the
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/// dictionnary, therefore this prefix is added to the words prefixes datastructures.
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///
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/// Default value is 100. This value must be higher than 50 and will be clamped
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/// to these bound otherwise.
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pub fn threshold(&mut self, value: u32) -> &mut Self {
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self.threshold = value.max(50);
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self
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}
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pub fn execute(self) -> Result<()> {
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debug!("Computing and writing the word prefix pair proximity docids into LMDB on disk...");
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self.index.word_prefix_pair_proximity_docids.clear(self.wtxn)?;
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let prefix_fst = self.index.words_prefixes_fst(self.wtxn)?;
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// Here we create a sorter akin to the previous one.
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let mut word_prefix_pair_proximity_docids_sorter = create_sorter(
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merge_cbo_roaring_bitmaps,
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@ -53,22 +62,59 @@ impl<'t, 'u, 'i> WordPrefixPairProximityDocids<'t, 'u, 'i> {
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self.max_memory,
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);
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// We insert all the word pairs corresponding to the word-prefix pairs
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// where the prefixes appears in the prefix FST previously constructed.
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let db = self.index.word_pair_proximity_docids.remap_data_type::<ByteSlice>();
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for result in db.iter(self.wtxn)? {
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let ((word1, word2, prox), data) = result?;
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let automaton = Str::new(word2).starts_with();
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let mut matching_prefixes = prefix_fst.search(automaton).into_stream();
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while let Some(prefix) = matching_prefixes.next() {
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let prefix = str::from_utf8(prefix)?;
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let pair = (word1, prefix, prox);
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let bytes = StrStrU8Codec::bytes_encode(&pair).unwrap();
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word_prefix_pair_proximity_docids_sorter.insert(bytes, data)?;
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let prefix_fst = self.index.words_prefixes_fst(self.wtxn)?;
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let prefix_fst_keys = prefix_fst.into_stream().into_bytes();
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let prefix_fst_keys: Vec<_> = prefix_fst_keys
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.as_slice()
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.linear_group_by_key(|x| std::str::from_utf8(&x).unwrap().chars().nth(0).unwrap())
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.collect();
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let mut db =
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self.index.word_pair_proximity_docids.remap_data_type::<ByteSlice>().iter(self.wtxn)?;
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let mut buffer = Vec::new();
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let mut current_prefixes: Option<&&[Vec<u8>]> = None;
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let mut prefixes_cache = HashMap::new();
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while let Some(((w1, w2, prox), data)) = db.next().transpose()? {
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current_prefixes = match current_prefixes.take() {
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Some(prefixes) if w2.as_bytes().starts_with(&prefixes[0]) => Some(prefixes),
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_otherwise => {
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write_prefixes_in_sorter(
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&mut prefixes_cache,
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&mut word_prefix_pair_proximity_docids_sorter,
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self.threshold,
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)?;
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prefix_fst_keys.iter().find(|prefixes| w2.as_bytes().starts_with(&prefixes[0]))
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}
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};
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if let Some(prefixes) = current_prefixes {
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buffer.clear();
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buffer.extend_from_slice(w1.as_bytes());
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buffer.push(0);
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for prefix in prefixes.iter().filter(|prefix| w2.as_bytes().starts_with(prefix)) {
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buffer.truncate(w1.len() + 1);
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buffer.extend_from_slice(prefix);
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buffer.push(prox);
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match prefixes_cache.get_mut(&buffer) {
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Some(value) => value.push(data),
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None => {
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prefixes_cache.insert(buffer.clone(), vec![data]);
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}
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}
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}
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}
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}
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write_prefixes_in_sorter(
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&mut prefixes_cache,
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&mut word_prefix_pair_proximity_docids_sorter,
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self.threshold,
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)?;
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drop(prefix_fst);
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drop(db);
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// We finally write the word prefix pair proximity docids into the LMDB database.
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sorter_into_lmdb_database(
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@ -82,3 +128,25 @@ impl<'t, 'u, 'i> WordPrefixPairProximityDocids<'t, 'u, 'i> {
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Ok(())
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}
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}
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fn write_prefixes_in_sorter(
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prefixes: &mut HashMap<Vec<u8>, Vec<&[u8]>>,
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sorter: &mut grenad::Sorter<MergeFn>,
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min_word_per_prefix: u32,
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) -> Result<()> {
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for (i, (key, data_slices)) in prefixes.drain().enumerate() {
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// if the number of words prefixed by the prefix is higher than the threshold,
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// we insert it in the sorter.
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if data_slices.len() > min_word_per_prefix as usize {
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for data in data_slices {
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sorter.insert(&key, data)?;
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}
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// if the first prefix isn't elligible for insertion,
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// then the other prefixes can't be elligible.
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} else if i == 0 {
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break;
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}
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}
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Ok(())
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}
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