ajaypadwal73 commented on PR #1026:
URL: https://github.com/apache/sedona-db/pull/1026#issuecomment-4981352613

   @paleolimbot Thanks, that framing makes sense.
   
   I think this PR was useful as an exploration, but I agree it may not be the 
right shape to merge as-is. Between James’s point about 
`ProbeShuffleExec`/partition-level parallelism and your point about 
accumulating candidates across rows before refinement, I think the core issue 
is probably better addressed at the refinement batching layer rather than by 
adding a second public parallelism knob.
   
   The current approach is deliberately low-invasive, but that also means it 
works around the existing row-local refinement shape instead of improving it.
   
   I’m happy to close this PR and take the learnings forward. If useful, I can 
open a smaller follow-up issue/PR exploring candidate accumulation across probe 
rows, with benchmarks comparing:
   - current per-row refinement
   - partition-level parallelism
   - candidate accumulation across rows
   - this probe-chunk approach as a reference point
   
   Unless you’d prefer otherwise, I’ll close this one rather than push on the 
current design.


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