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https://github.com/meilisearch/MeiliSearch
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Apply suggestions from code review
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@ -448,9 +448,8 @@ pub fn resolve_phrase(ctx: &dyn Context, phrase: &[String]) -> Result<RoaringBit
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} else {
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let mut bitmap = RoaringBitmap::new();
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for dist in 0..=dist {
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match ctx.word_pair_proximity_docids(s1, s2, dist as u8 + 1)? {
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Some(m) => bitmap |= m,
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None => {}
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if let Some(m) = ctx.word_pair_proximity_docids(s1, s2, dist as u8 + 1)? {
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bitmap |= m
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}
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}
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if bitmap.is_empty() {
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@ -528,7 +528,13 @@ where
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if let Some(word_pair_proximity_docids) = word_pair_proximity_docids {
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// Run the word prefix pair proximity docids update operation.
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PrefixWordPairsProximityDocids::new(self.wtxn, self.index).execute(
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PrefixWordPairsProximityDocids::new(
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self.wtxn,
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self.index,
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self.indexer_config.chunk_compression_type,
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self.indexer_config.chunk_compression_level,
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)
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.execute(
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word_pair_proximity_docids,
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&new_prefix_fst_words,
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&common_prefix_fst_words,
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@ -2,6 +2,7 @@ use std::borrow::Cow;
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use std::collections::HashSet;
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use std::io::BufReader;
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use grenad::CompressionType;
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use heed::types::ByteSlice;
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use super::index_documents::{merge_cbo_roaring_bitmaps, CursorClonableMmap};
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@ -18,10 +19,24 @@ pub struct PrefixWordPairsProximityDocids<'t, 'u, 'i> {
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index: &'i Index,
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max_proximity: u8,
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max_prefix_length: usize,
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chunk_compression_type: CompressionType,
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chunk_compression_level: Option<u32>,
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}
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impl<'t, 'u, 'i> PrefixWordPairsProximityDocids<'t, 'u, 'i> {
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pub fn new(wtxn: &'t mut heed::RwTxn<'i, 'u>, index: &'i Index) -> Self {
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Self { wtxn, index, max_proximity: 4, max_prefix_length: 2 }
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pub fn new(
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wtxn: &'t mut heed::RwTxn<'i, 'u>,
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index: &'i Index,
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chunk_compression_type: CompressionType,
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chunk_compression_level: Option<u32>,
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) -> Self {
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Self {
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wtxn,
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index,
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max_proximity: 4,
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max_prefix_length: 2,
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chunk_compression_type,
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chunk_compression_level,
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}
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}
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/// Set the maximum proximity required to make a prefix be part of the words prefixes
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/// database. If two words are too far from the threshold the associated documents will
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@ -42,6 +57,7 @@ impl<'t, 'u, 'i> PrefixWordPairsProximityDocids<'t, 'u, 'i> {
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self.max_prefix_length = value;
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self
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}
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#[logging_timer::time("WordPrefixPairProximityDocids::{}")]
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pub fn execute<'a>(
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self,
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@ -60,6 +76,8 @@ impl<'t, 'u, 'i> PrefixWordPairsProximityDocids<'t, 'u, 'i> {
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new_prefix_fst_words,
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common_prefix_fst_words,
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del_prefix_fst_words,
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self.chunk_compression_type,
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self.chunk_compression_level,
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)?;
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index_prefix_word_database(
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@ -72,6 +90,8 @@ impl<'t, 'u, 'i> PrefixWordPairsProximityDocids<'t, 'u, 'i> {
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new_prefix_fst_words,
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common_prefix_fst_words,
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del_prefix_fst_words,
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self.chunk_compression_type,
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self.chunk_compression_level,
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)?;
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Ok(())
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@ -23,6 +23,8 @@ pub fn index_prefix_word_database(
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new_prefix_fst_words: &[String],
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common_prefix_fst_words: &[&[String]],
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del_prefix_fst_words: &HashSet<Vec<u8>>,
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chunk_compression_type: CompressionType,
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chunk_compression_level: Option<u32>,
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) -> Result<()> {
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let max_proximity = max_proximity - 1;
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debug!("Computing and writing the word prefix pair proximity docids into LMDB on disk...");
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@ -35,7 +37,7 @@ pub fn index_prefix_word_database(
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.filter(|s| s.len() <= max_prefix_length)
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.collect();
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for proximity in 1..=max_proximity - 1 {
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for proximity in 1..max_proximity {
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for prefix in common_prefixes.iter() {
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let mut prefix_key = vec![];
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prefix_key.push(proximity);
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@ -78,7 +80,8 @@ pub fn index_prefix_word_database(
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// Since we read the DB, we can't write to it directly, so we add each new (word1, prefix, proximity)
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// element in an intermediary grenad
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let mut writer = create_writer(CompressionType::None, None, tempfile::tempfile()?);
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let mut writer =
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create_writer(chunk_compression_type, chunk_compression_level, tempfile::tempfile()?);
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for proximity in 1..=max_proximity - 1 {
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for prefix in new_prefixes.iter() {
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@ -144,7 +147,7 @@ fn execute_on_word_pairs_and_prefixes<I>(
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mut next_word2_and_docids: impl for<'a> FnMut(&'a mut I) -> Result<Option<(&'a [u8], &'a [u8])>>,
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mut insert: impl for<'a> FnMut(&'a [u8], &'a [u8]) -> Result<()>,
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) -> Result<()> {
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let mut batch: BTreeMap<Vec<u8>, Vec<Cow<'static, [u8]>>> = <_>::default();
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let mut batch: BTreeMap<Vec<u8>, Vec<Cow<'static, [u8]>>> = BTreeMap::default();
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// Memory usage check:
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// The content of the loop will be called for each `word2` that follows a word beginning
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@ -187,6 +187,8 @@ pub fn index_word_prefix_database(
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new_prefix_fst_words: &[String],
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common_prefix_fst_words: &[&[String]],
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del_prefix_fst_words: &HashSet<Vec<u8>>,
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chunk_compression_type: CompressionType,
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chunk_compression_level: Option<u32>,
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) -> Result<()> {
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debug!("Computing and writing the word prefix pair proximity docids into LMDB on disk...");
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@ -249,7 +251,8 @@ pub fn index_word_prefix_database(
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// Since we read the DB, we can't write to it directly, so we add each new (proximity, word1, prefix)
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// element in an intermediary grenad
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let mut writer = create_writer(CompressionType::None, None, tempfile::tempfile()?);
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let mut writer =
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create_writer(chunk_compression_type, chunk_compression_level, tempfile::tempfile()?);
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execute_on_word_pairs_and_prefixes(
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&mut db_iter,
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@ -325,7 +328,7 @@ fn execute_on_word_pairs_and_prefixes<I>(
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};
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let word2_start_different_than_prev = word2[0] != prev_word2_start;
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// if there were no potential prefixes for the previous word2 based on its first letter,
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// and if the current word2 starts with the s`ame letter, then there is also no potential
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// and if the current word2 starts with the same letter, then there is also no potential
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// prefixes for the current word2, and we can skip to the next iteration
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if empty_prefixes && !word2_start_different_than_prev {
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continue;
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