szehon-ho commented on PR #15727:
URL: https://github.com/apache/iceberg/pull/15727#issuecomment-5530260376

   Can we consider a configurable Spark execution mode for very large tables? 
The previous implementation distributed metadata grouping and joins, collecting 
only dangling deletes to the driver. The new implementation is more accurate, 
but performs full scan planning and retains applicable deletes on the driver. 
Do we have benchmarks or memory estimates at million-delete-file scale?


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