gf2121 commented on issue #12725:
URL: https://github.com/apache/lucene/issues/12725#issuecomment-1798007152

   > do we have any numbers if it actually helps applying deletes?
   
   I made a naive benchmark comparing `seekCeil` and `seekExact` when deleting 
terms on a field with bloom filter, result shows `seekExact` style ~9% faster 
in average. (All terms are 16 bytes UUID)
   
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   round | seekCeil(ms) | candidate(ms) | diff
   -- | -- | -- | --
   1 | 46211 | 42783 | -7%
   2 | 44641 | 40698 | -9%
   3 | 44462 | 43471 | -2%
   4 | 47059 | 43842 | -7%
   5 | 45049 | 43609 | -3%
   6 | 49529 | 40953 | -17%
   7 | 44707 | 41498 | -7%
   8 | 45732 | 40785 | -11%
   9 | 45396 | 41321 | -9%
   10 | 48759 | 40760 | -16%
   avg | 46154.5 | 41972 | -9%
   
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   > wild idea but would it make sense to build an automaton off these terms 
and intersect it? We could reuse it for multiple segments? I am not sure how 
big the costs are for that but it would potentially in a codec agnostic way?
   
   This sounds great. I think intersecting with automation can not take 
advantage of bloom filter too. So it should be a competitive approach comparing 
to `seekExact` or `seekCeil` ? I'd like to give it a try.


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