jpountz commented on code in PR #12434:
URL: https://github.com/apache/lucene/pull/12434#discussion_r1275153663


##########
lucene/core/src/java/org/apache/lucene/util/hnsw/TopKnnCollector.java:
##########
@@ -0,0 +1,76 @@
+/*
+ * 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 org.apache.lucene.util.hnsw;
+
+import org.apache.lucene.search.AbstractKnnCollector;
+import org.apache.lucene.search.ScoreDoc;
+import org.apache.lucene.search.TopDocs;
+import org.apache.lucene.search.TotalHits;
+
+/**
+ * TopKnnCollector is a specific KnnResults. A minHeap is used to keep track 
of the currently
+ * collected vectors allowing for efficient updates as better vectors are 
collected.
+ */
+public final class TopKnnCollector extends AbstractKnnCollector {
+
+  private final NeighborQueue queue;
+
+  /**
+   * @param k the number of neighbors to collect
+   * @param visitLimit how many vector nodes the results are allowed to visit
+   */
+  public TopKnnCollector(int k, int visitLimit) {
+    super(k, visitLimit);
+    this.queue = new NeighborQueue(k, false);
+  }
+
+  @Override
+  public boolean collect(int docId, float similarity) {
+    return queue.insertWithOverflow(docId, similarity);
+  }
+
+  @Override
+  public float minCompetitiveSimilarity() {
+    return queue.size() >= k() ? queue.topScore() : Float.NEGATIVE_INFINITY;
+  }
+
+  @Override
+  public TopDocs topDocs() {
+    while (queue.size() > k()) {
+      queue.pop();
+    }
+    int i = 0;
+    ScoreDoc[] scoreDocs = new ScoreDoc[queue.size()];
+    while (i < scoreDocs.length) {
+      int node = queue.topNode();
+      float score = queue.topScore();
+      queue.pop();
+      scoreDocs[scoreDocs.length - ++i] = new ScoreDoc(node, score);
+    }
+    TotalHits.Relation relation =
+        earlyTerminated()
+            ? TotalHits.Relation.GREATER_THAN_OR_EQUAL_TO
+            : TotalHits.Relation.EQUAL_TO;
+    return new TopDocs(new TotalHits(visitedCount(), relation), scoreDocs);
+  }
+
+  @Override
+  public String toString() {
+    return "TopKnnResults[" + queue.size() + "]";

Review Comment:
   ```suggestion
       return "TopKnnResults[k=" + k() + ", size=" + queue.size() + "]";
   ```



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