CNDB-15703: Fix ScoreTracker impl init and reset methods

jvector-base/src/main/java/io/github/jbellis/jvector/graph/ScoreTracker.java

@@ -41,15 +41,15 @@ public ScoreTracker getScoreTracker(boolean pruneSearch, int rerankK, float thre
 
             if (threshold > 0) {
                 if (twoPhaseTracker == null) {
-                    twoPhaseTracker = new ScoreTracker.TwoPhaseTracker();
+                    twoPhaseTracker = new ScoreTracker.TwoPhaseTracker(threshold);
                 } else {
                     twoPhaseTracker.reset(threshold);
                 }
                 scoreTracker = twoPhaseTracker;
             } else {
                 if (pruneSearch) {
                     if (relaxedMonotonicityTracker == null) {
-                        relaxedMonotonicityTracker = new ScoreTracker.RelaxedMonotonicityTracker();
+                        relaxedMonotonicityTracker = new ScoreTracker.RelaxedMonotonicityTracker(rerankK);
                     } else {
                         relaxedMonotonicityTracker.reset(rerankK);
                     }
@@ -109,10 +109,6 @@ class TwoPhaseTracker implements ScoreTracker {
             this.threshold = threshold;
         }
 
-        TwoPhaseTracker() {
-            this(0);
-        }
-
         void reset(double threshold) {
             this.bestScores.clear();
             this.observationCount = 0;
@@ -195,10 +191,6 @@ class RelaxedMonotonicityTracker implements ScoreTracker {
             this.dSquared = 0;
         }
 
-        RelaxedMonotonicityTracker() {
-            this(100);
-        }
-
         private static int getRecentScoresSize(int bestScoresTracked) {
             // A quick empirical study yields that the number of recent scores
             // that we need to consider grows by a factor of ~sqrt(bestScoresTracked / 2)
@@ -211,7 +203,8 @@ void reset(int bestScoresTracked) {
             if (this.recentScoresSize > recentScores.length) {
                 recentScores = ArrayUtil.grow(recentScores, this.recentScoresSize);
             }
-            this.bestScores.clear();
+            bestScores.clear();
+            bestScores.setMaxSize(bestScoresTracked);
             this.observationCount = 0;
             this.mean = 0;
             this.dSquared = 0;

jvector-tests/src/test/java/io/github/jbellis/jvector/graph/TestLowCardinalityFiltering.java

@@ -0,0 +1,139 @@
+/*
+ * All changes to the original code are Copyright DataStax, Inc.
+ *
+ * Please see the included license file for details.
+ */
+
+/*
+ * Original license:
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package io.github.jbellis.jvector.graph;
+
+import com.carrotsearch.randomizedtesting.annotations.ThreadLeakScope;
+import io.github.jbellis.jvector.LuceneTestCase;
+import io.github.jbellis.jvector.TestUtil;
+import io.github.jbellis.jvector.graph.similarity.DefaultSearchScoreProvider;
+import io.github.jbellis.jvector.util.BitSet;
+import io.github.jbellis.jvector.util.BoundedLongHeap;
+import io.github.jbellis.jvector.util.FixedBitSet;
+import io.github.jbellis.jvector.vector.VectorSimilarityFunction;
+import io.github.jbellis.jvector.vector.types.VectorFloat;
+import org.junit.Test;
+
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import static org.junit.Assert.assertEquals;
+
+@ThreadLeakScope(ThreadLeakScope.Scope.NONE)
+public class TestLowCardinalityFiltering extends LuceneTestCase {
+    @Test
+    public void testLowCardinalityFiltering() throws IOException {
+        testLowCardinalityFiltering(32, 0.01f, 0.87f, false);
+        testLowCardinalityFiltering(32, 0.01f, 0.87f, true);
+    }
+    public void testLowCardinalityFiltering(int maxDegree, float visitedRatioThreshold, float recallThreshold, boolean addHierarchy) throws IOException {
+        var R = getRandom();
+
+        int nVectors = 100_000;
+        int nQueries = 100;
+        int dimensions = 16;
+        int topK = 10;
+
+        VectorSimilarityFunction similarityFunction = VectorSimilarityFunction.COSINE;
+
+        // build index
+        VectorFloat<?>[] vectors = TestVectorGraph.createRandomFloatVectors(nVectors, dimensions, R);
+        var ravv = new ListRandomAccessVectorValues(List.of(vectors), dimensions);
+        var builder = new GraphIndexBuilder(ravv, similarityFunction, maxDegree, 2 * maxDegree, 1.2f, 1.2f, addHierarchy);
+        var onHeapGraph = builder.build(ravv);
+
+        // Build the set of accepted ordinals. There are two classes evenly split.
+        Map<Boolean, BitSet> bitSets = new HashMap<>();
+        bitSets.put(true, new FixedBitSet(nVectors));
+        bitSets.put(false, new FixedBitSet(nVectors));
+        for (int j = 0; j < nVectors; j++) {
+            bitSets.get(R.nextBoolean()).set(j);
+        }
+
+        // test raw vectors
+        var searcher = new GraphSearcher(onHeapGraph);
+
+        float meanVisitedRatio = 0;
+        float meanRecall = 0;
+
+        for (int i = 0; i < nQueries; i++) {
+            VectorFloat<?> query = TestUtil.randomVector(R, dimensions);
+            boolean queryClass = R.nextBoolean();
+
+            var sf = ravv.rerankerFor(query, similarityFunction);
+            var result = searcher.search(new DefaultSearchScoreProvider(sf), topK, 0, bitSets.get(queryClass));
+
+            float recall = getRecall(ravv, bitSets, similarityFunction, query, queryClass, topK, result);
+
+            meanVisitedRatio += ((float) result.getVisitedCount()) / (vectors.length * nQueries);
+            meanRecall += recall / (nQueries * topK);
+        }
+
+        System.out.println("meanVisitedRatio " +  meanVisitedRatio);
+        System.out.println("meanRecall " +  meanRecall);
+
+        assert meanVisitedRatio < visitedRatioThreshold : "visited " + meanVisitedRatio * 100 + "% of the vectors, which is more than " + visitedRatioThreshold * 100 + "%";
+        assert meanRecall > recallThreshold : "the recall is too low: " + meanRecall + " < " + recallThreshold;
+    }
+
+    /**
+     * Create "interesting" test parameters -- shouldn't match too many (we want to validate
+     * that threshold code doesn't just crawl the entire graph) or too few (we might not find them)
+     */
+    private float getRecall(RandomAccessVectorValues ravv, Map<Boolean, BitSet> bitSets, VectorSimilarityFunction similarityFunction, VectorFloat<?> query, boolean queryClass, int topK, SearchResult result) {
+        var resultNodes = result.getNodes();
+        assertEquals(topK, resultNodes.length);
+
+        NodeQueue expected = new NodeQueue(new BoundedLongHeap(topK), NodeQueue.Order.MIN_HEAP);
+        for (int j = 0; j < ravv.size(); j++) {
+            if (bitSets.get(queryClass).get(j)) {
+                expected.push(j, similarityFunction.compare(query, ravv.getVector(j)));
+            }
+        }
+        var actualNodeIds = Arrays.stream(resultNodes, 0, topK).mapToInt(nodeScore -> nodeScore.node).toArray();
+
+        return computeOverlap(actualNodeIds, expected.nodesCopy());
+    }
+
+    private int computeOverlap(int[] a, int[] b) {
+        Arrays.sort(a);
+        Arrays.sort(b);
+        int overlap = 0;
+        for (int i = 0, j = 0; i < a.length && j < b.length; ) {
+            if (a[i] == b[j]) {
+                ++overlap;
+                ++i;
+                ++j;
+            } else if (a[i] > b[j]) {
+                ++j;
+            } else {
+                ++i;
+            }
+        }
+        return overlap;
+    }
+}