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Posted to issues@lucene.apache.org by GitBox <gi...@apache.org> on 2022/06/28 13:11:08 UTC

[GitHub] [lucene] msokolov commented on a diff in pull request #951: LUCENE-10606: Optimize Prefilter Hit Collection

msokolov commented on code in PR #951:
URL: https://github.com/apache/lucene/pull/951#discussion_r908461540


##########
lucene/core/src/java/org/apache/lucene/search/KnnVectorQuery.java:
##########
@@ -92,20 +91,40 @@ public KnnVectorQuery(String field, float[] target, int k, Query filter) {
   public Query rewrite(IndexReader reader) throws IOException {
     TopDocs[] perLeafResults = new TopDocs[reader.leaves().size()];
 
-    BitSetCollector filterCollector = null;
+    Weight filterWeight = null;
     if (filter != null) {
-      filterCollector = new BitSetCollector(reader.leaves().size());
       IndexSearcher indexSearcher = new IndexSearcher(reader);
       BooleanQuery booleanQuery =
           new BooleanQuery.Builder()
               .add(filter, BooleanClause.Occur.FILTER)
               .add(new FieldExistsQuery(field), BooleanClause.Occur.FILTER)
               .build();
-      indexSearcher.search(booleanQuery, filterCollector);
+      Query rewritten = indexSearcher.rewrite(booleanQuery);
+      filterWeight = indexSearcher.createWeight(rewritten, ScoreMode.COMPLETE_NO_SCORES, 1f);
     }
 
     for (LeafReaderContext ctx : reader.leaves()) {
-      TopDocs results = searchLeaf(ctx, filterCollector);
+      Bits acceptDocs;
+      int cost;
+      if (filterWeight != null) {
+        Scorer scorer = filterWeight.scorer(ctx);
+        if (scorer != null) {
+          DocIdSetIterator iterator = scorer.iterator();
+          if (iterator instanceof BitSetIterator) {
+            acceptDocs = ((BitSetIterator) iterator).getBitSet();
+          } else {
+            acceptDocs = BitSet.of(iterator, ctx.reader().maxDoc());
+          }
+          cost = (int) iterator.cost();

Review Comment:
   Could we apply the optimization using liveDocs in the case that it *is* a FixedBitSet? can we tell?



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