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Posted to issues@lucene.apache.org by "gsmiller (via GitHub)" <gi...@apache.org> on 2023/02/06 16:30:26 UTC

[GitHub] [lucene] gsmiller commented on a diff in pull request #12089: Modify TermInSetQuery to "self optimize" if doc values are available

gsmiller commented on code in PR #12089:
URL: https://github.com/apache/lucene/pull/12089#discussion_r1097623311


##########
lucene/core/src/java/org/apache/lucene/search/TermInSetQuery.java:
##########
@@ -258,13 +271,41 @@ public Matches matches(LeafReaderContext context, int doc) throws IOException {
        * On the given leaf context, try to either rewrite to a disjunction if there are few matching
        * terms, or build a bitset containing matching docs.
        */
-      private WeightOrDocIdSet rewrite(LeafReaderContext context) throws IOException {
+      private WeightOrDocIdSet rewrite(
+          LeafReaderContext context, long leadCost, boolean isPrimaryKeyField, DocValuesType dvType)
+          throws IOException {
         final LeafReader reader = context.reader();
 
         Terms terms = reader.terms(field);
         if (terms == null) {
           return null;
         }
+
+        long costThreshold = Long.MAX_VALUE;
+        if (dvType == DocValuesType.SORTED || dvType == DocValuesType.SORTED_SET) {
+          // Establish a threshold for switching to doc values. Give postings a significant
+          // advantage for the primary-key case, since many of the primary-key terms may not
+          // actually be in this segment. The 8x factor is arbitrary, based on IndexOrDVQuery,
+          // but has performed well in benchmarks:
+          costThreshold = isPrimaryKeyField ? leadCost << 3 : leadCost;
+
+          if (termData.size() > costThreshold) {
+            // If the number of terms is > the number of candidates, DV should perform better.

Review Comment:
   I'm not sure actually. The up-front term-seeking you refer to is certainly a cost, but it doesn't scale with the number of lead hits. So this can still be cheaper. But also, +1 to the idea of trying out on-demand term seeking for these situations!



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