Class Weight.DefaultBulkScorer

Enclosing class:

protected static class Weight.DefaultBulkScorer extends BulkScorer
Just wraps a Scorer and performs top scoring using it.
NOTE: This API is for internal purposes only and might change in incompatible ways in the next release.
  • Constructor Details

    • DefaultBulkScorer

      public DefaultBulkScorer(Scorer scorer)
      Sole constructor.
  • Method Details

    • cost

      public long cost()
      Description copied from class: BulkScorer
      Same as DocIdSetIterator.cost() for bulk scorers.
      Specified by:
      cost in class BulkScorer
    • score

      public int score(LeafCollector collector, Bits acceptDocs, int min, int max) throws IOException
      Description copied from class: BulkScorer
      Collects matching documents in a range and return an estimation of the next matching document which is on or after max.

      The return value must be:

      min is the minimum document to be considered for matching. All documents strictly before this value must be ignored.

      Although max would be a legal return value for this method, higher values might help callers skip more efficiently over non-matching portions of the docID space.

      For instance, a Scorer-based implementation could look like below:

       private final Scorer scorer; // set via constructor
       public int score(LeafCollector collector, Bits acceptDocs, int min, int max) throws IOException {
         int doc = scorer.docID();
         if (doc < min) {
           doc = scorer.advance(min);
         while (doc < max) {
           if (acceptDocs == null || acceptDocs.get(doc)) {
           doc = scorer.nextDoc();
         return doc;
      Specified by:
      score in class BulkScorer
      collector - The collector to which all matching documents are passed.
      acceptDocs - Bits that represents the allowed documents to match, or null if they are all allowed to match.
      min - Score starting at, including, this document
      max - Score up to, but not including, this doc
      an under-estimation of the next matching doc after max