carlosdelest commented on code in PR #14274:
URL: https://github.com/apache/lucene/pull/14274#discussion_r1993167987


##########
lucene/core/src/test/org/apache/lucene/search/BaseKnnVectorQueryTestCase.java:
##########
@@ -646,6 +654,24 @@ public void testRandomWithFilter() throws IOException {
                   searcher.search(
                       getThrowingKnnVectorQuery("field", 
randomVector(dimension), 1, filter4),
                       numDocs));
+
+          // Test a filter with cost slightly more than k, and check we use 
exact search as k
+          // results are not retrieved from approximate search
+          Query filter5 = IntPoint.newRangeQuery("tag", lower, lower + 11);
+          results =
+              searcher.search(
+                  getKnnVectorQuery("field", randomVector(dimension), 10, 
filter5), numDocs);
+          assertEquals(10, results.totalHits.value());
+          assertEquals(results.totalHits.value(), results.scoreDocs.length);
+          expectThrows(
+              UnsupportedOperationException.class,
+              () ->
+                  searcher.search(
+                      getCappedResultsThrowingKnnVectorQuery(
+                          "field", randomVector(dimension), 10, filter5, 5),
+                      numDocs));
+          assertEquals(10, results.totalHits.value());
+          assertEquals(results.totalHits.value(), results.scoreDocs.length);

Review Comment:
   I did! I checked all the subclasses with 5K iterations multiple times.
   
   The test is forcing a number of results to be returned via the capped 
results query, so it will always return a number of results that will result in 
doing an exact query. Why do you think it will be flaky?



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