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Merge #697
697: Fix bug in prefix DB indexing r=loiclec a=loiclec Where the batch's information was not properly updated in cases where only the proximity changed between two consecutive word pair proximities. Closes partially https://github.com/meilisearch/meilisearch/issues/3043 Co-authored-by: Loïc Lecrenier <loic.lecrenier@me.com>
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commit
57c9f03e51
@ -238,4 +238,51 @@ mod tests {
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db_snap!(index, word_prefix_pair_proximity_docids, "update");
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db_snap!(index, prefix_word_pair_proximity_docids, "update");
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}
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#[test]
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fn test_batch_bug_3043() {
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// https://github.com/meilisearch/meilisearch/issues/3043
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let mut index = TempIndex::new();
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index.index_documents_config.words_prefix_threshold = Some(50);
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index.index_documents_config.autogenerate_docids = true;
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index
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.update_settings(|settings| {
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settings.set_searchable_fields(vec!["text".to_owned()]);
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})
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.unwrap();
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let batch_reader_from_documents = |documents| {
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let mut builder = DocumentsBatchBuilder::new(Vec::new());
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for object in documents {
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builder.append_json_object(&object).unwrap();
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}
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DocumentsBatchReader::from_reader(Cursor::new(builder.into_inner().unwrap())).unwrap()
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};
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let mut documents = documents_with_enough_different_words_for_prefixes(&["y"]);
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// now we add some documents where the text should populate the word_prefix_pair_proximity_docids database
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documents.push(
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serde_json::json!({
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"text": "x y"
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})
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.as_object()
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.unwrap()
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.clone(),
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);
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documents.push(
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serde_json::json!({
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"text": "x a y"
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})
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.as_object()
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.unwrap()
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.clone(),
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);
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let documents = batch_reader_from_documents(documents);
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index.add_documents(documents).unwrap();
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db_snap!(index, word_pair_proximity_docids);
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db_snap!(index, word_prefix_pair_proximity_docids);
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db_snap!(index, prefix_word_pair_proximity_docids);
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}
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}
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@ -0,0 +1,4 @@
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---
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source: milli/src/update/prefix_word_pairs/mod.rs
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---
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@ -0,0 +1,8 @@
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---
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source: milli/src/update/prefix_word_pairs/mod.rs
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---
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1 a y [51, ]
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1 x a [51, ]
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1 x y [50, ]
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2 x y [51, ]
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@ -0,0 +1,7 @@
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---
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source: milli/src/update/prefix_word_pairs/mod.rs
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---
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1 a y [51, ]
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1 x y [50, ]
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2 x y [51, ]
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@ -44,7 +44,7 @@ word2 : doggo
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2. **Inner loop:** Then, we iterate over all the prefixes of `word2` that are
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in the list of sorted prefixes. And we insert the key `prefix`
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and the value (`docids`) to a sorted map which we call the “batch”. For example,
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at the end of the first inner loop, we may have:
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at the end of the first outer loop, we may have:
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```text
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Outer loop 1:
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------------------------------
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@ -85,7 +85,7 @@ end of the batch.
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4. On the third iteration of the outer loop, we have:
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```text
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Outer loop 4:
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Outer loop 3:
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------------------------------
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proximity: 1
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word1 : good
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@ -340,17 +340,16 @@ fn execute_on_word_pairs_and_prefixes<I>(
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if prox_different_than_prev || word1_different_than_prev || word2_start_different_than_prev
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{
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batch.flush(&mut merge_buffer, &mut insert)?;
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batch.proximity = proximity;
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// don't forget to reset the value of batch.word1 and prev_word2_start
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if word1_different_than_prev {
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prefix_search_start.0 = 0;
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batch.word1.clear();
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batch.word1.extend_from_slice(word1);
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batch.proximity = proximity;
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}
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if word2_start_different_than_prev {
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// word2_start_different_than_prev == true
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prev_word2_start = word2[0];
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}
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prefix_search_start.0 = 0;
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// Optimisation: find the search start in the prefix trie to iterate over the prefixes of word2
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empty_prefixes = !prefixes.set_search_start(word2, &mut prefix_search_start);
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}
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