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https://issues.apache.org/jira/browse/LUCENE-10397?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17566315#comment-17566315
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Alessandro Benedetti commented on LUCENE-10397:
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Hi Lu,
I was not aware of this issue.
Yes, this should have been resolved by my contribution.
Cheers
> KnnVectorQuery doesn't tie break by doc ID
> ------------------------------------------
>
> Key: LUCENE-10397
> URL: https://issues.apache.org/jira/browse/LUCENE-10397
> Project: Lucene - Core
> Issue Type: Bug
> Reporter: Adrien Grand
> Priority: Minor
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> I was expecting KnnVectorQUery to tie-break by doc ID so that if multiple
> documents get the same score then the ones that have the lowest doc ID would
> get returned first, similarly to how SortField.SCORE also tie-breaks by doc
> ID.
> However the following test fails, suggesting that it is not the case.
> {code:java}
> public void testTieBreak() throws IOException {
> try (Directory d = newDirectory()) {
> try (IndexWriter w = new IndexWriter(d, new IndexWriterConfig())) {
> for (int j = 0; j < 5; j++) {
> Document doc = new Document();
> doc.add(
> new KnnVectorField("field", new float[] {0, 1},
> VectorSimilarityFunction.DOT_PRODUCT));
> w.addDocument(doc);
> }
> }
> try (IndexReader reader = DirectoryReader.open(d)) {
> assertEquals(1, reader.leaves().size());
> IndexSearcher searcher = new IndexSearcher(reader);
> KnnVectorQuery query = new KnnVectorQuery("field", new float[] {2,
> 3}, 3);
> TopDocs topHits = searcher.search(query, 3);
> assertEquals(0, topHits.scoreDocs[0].doc);
> assertEquals(1, topHits.scoreDocs[1].doc);
> assertEquals(2, topHits.scoreDocs[2].doc);
> }
> }
> }
> {code}
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