[GitHub] [lucene] rmuir commented on pull request #12118: Add `FeatureQuery` weight caching in non-scoring case

["rmuir (via GitHub)" <gi...@apache.org>]

rmuir commented on PR #12118:
URL: https://github.com/apache/lucene/pull/12118#issuecomment-1413950962

   > For the record this need comes from implementing sparse retrieval similarly to what's discussed at #11799, so `FeatureField` no longer stores features but regular terms here. One option is to reuse `FeatureField` for this. Another option could be to reuse `TermQuery` by configuring the `Similarity`'s `SimScorer` to properly decode the frequency.
   
   I think this is where my confusion is. Hopefully sparse retrieval is implemented in a way that doesn't require this codepath and still takes advantage of WAND-skipping.
   
   But I think this change is OK for the use-case of faceting: if you are going to put FeatureQuery in a required clause for some reason (to me this is unrelated to any sparse retrieval, an app may just want a feature to be required for a particular search), then to support facets that reflect that, you need to disable scores to count correctly. Maybe add a comment above it in the code, something like `// e.g. for faceting` so that it doesn't cause confusion.


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