msokolov commented on PR #11946:
URL: https://github.com/apache/lucene/pull/11946#issuecomment-1329282101

   Hi, I was taking time off for a few days, back now. Have you tried 
post-filtering? When we added support for existing pre-filter (accepting Query) 
there was some extensive testing to determine when it is better to pre-filter 
vs post-filter. The answer is not always so clear-cut. If the filter is not so 
restrictive (matches > 90% of docs, say), you are probably better off 
post-filtering. If it is highly restrictive then prefiltering will likely offer 
performance gains. If it's possible in your application to precompute the 
filter and cache it for some time (eg in a user session), then you can use the 
existing prefiltering operation by creating a BitSet matching docs that meet 
the threshold criterion.
   
   So I would suggest trying a large K and post-filtering and see if you get 
reasonable results?
   
   In short, I think this is too risky/trappy for most users. Using a 
highly-restrictive scoring threshold is really not the same as using a large K 
from a user perspective since the cost is predictable with K (not very data 
dependent), but not so with the score (as a user I don't know what the score 
distribution is, a priori), so providing a score threshold is definitely more 
dangerous/trappy.


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