mikeoconnor0308 commented on issue #5800:
URL: https://github.com/apache/iceberg/issues/5800#issuecomment-3389284794

   Yes, it just uses public APIs.
   
   However, from experimenting with it I think the lack of row-group 
information is pretty suboptimal, I ended up reading in some very chunky 
partitions into dask.dataframe. 
   
   I think it should be possible to perform the metadata lookups to get row 
group information, but from poking around PyIceberg APIs I think it may be end 
up leading to the use of lower-level details which would result in high 
coupling. 
   
   For example, it would make things tidier if `DataScan` or `ArrowScan` could 
produce a plan of batches/row groups.  
   


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