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https://github.com/meilisearch/meilisearch.git
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Search for documents with longer proximities until we find enough
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parent
f277ea134f
commit
54370e228a
@ -535,6 +535,7 @@ fn merge(key: &[u8], values: &[Vec<u8>]) -> Result<Vec<u8>, ()> {
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// TODO merge with the previous values
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// TODO merge with the previous values
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// TODO store the documents in a compressed MTBL
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// TODO store the documents in a compressed MTBL
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// TODO prefer using iter.append when possible, it is way faster (4x) to inject ordered entries.
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fn lmdb_writer(wtxn: &mut heed::RwTxn, index: &Index, key: &[u8], val: &[u8]) -> anyhow::Result<()> {
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fn lmdb_writer(wtxn: &mut heed::RwTxn, index: &Index, key: &[u8], val: &[u8]) -> anyhow::Result<()> {
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if key == WORDS_FST_KEY {
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if key == WORDS_FST_KEY {
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// Write the words fst
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// Write the words fst
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@ -176,7 +176,7 @@ impl<'a> Search<'a> {
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&self,
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&self,
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words: &[(HashMap<String, (u8, RoaringBitmap)>, RoaringBitmap)],
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words: &[(HashMap<String, (u8, RoaringBitmap)>, RoaringBitmap)],
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candidates: &RoaringBitmap,
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candidates: &RoaringBitmap,
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parent_docids: Option<&RoaringBitmap>,
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parent_docids: &RoaringBitmap,
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union_cache: &mut HashMap<(usize, u8), RoaringBitmap>,
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union_cache: &mut HashMap<(usize, u8), RoaringBitmap>,
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) -> anyhow::Result<Option<RoaringBitmap>>
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) -> anyhow::Result<Option<RoaringBitmap>>
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{
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{
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@ -202,15 +202,13 @@ impl<'a> Search<'a> {
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}
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}
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};
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};
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if let Some(parent_docids) = &parent_docids {
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docids.intersect_with(parent_docids);
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docids.intersect_with(parent_docids);
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}
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if !docids.is_empty() {
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if !docids.is_empty() {
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let words = &words[1..];
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let words = &words[1..];
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// We are the last word.
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// We are the last word.
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if words.len() < 2 { return Ok(Some(docids)) }
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if words.len() < 2 { return Ok(Some(docids)) }
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if let Some(di) = self.depth_first_search(words, candidates, Some(&docids), union_cache)? {
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if let Some(di) = self.depth_first_search(words, candidates, &docids, union_cache)? {
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return Ok(Some(di))
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return Ok(Some(di))
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}
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}
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}
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}
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@ -250,9 +248,24 @@ impl<'a> Search<'a> {
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return Ok(SearchResult { found_words, documents_ids });
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return Ok(SearchResult { found_words, documents_ids });
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}
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}
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let mut union_cache = HashMap::new();
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let mut documents = Vec::new();
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let mut documents = Vec::new();
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if let Some(answer) = answer {
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let mut union_cache = HashMap::new();
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// We execute the DFS until we find enough documents, we run it with the
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// candidates list and remove the found documents from this list at each iteration.
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while documents.iter().map(RoaringBitmap::len).sum::<u64>() < limit as u64 {
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let answer = self.depth_first_search(&derived_words, &candidates, &candidates, &mut union_cache)?;
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let answer = match answer {
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Some(answer) if !answer.is_empty() => answer,
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_ => break,
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};
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debug!("answer: {:?}", answer);
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// We remove the answered documents from the list of
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// candidates to be sure we don't search for them again.
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candidates.difference_with(&answer);
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documents.push(answer);
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documents.push(answer);
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}
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}
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