b-phi commented on issue #1751:
URL: 
https://github.com/apache/iceberg-python/issues/1751#issuecomment-2920271698

   I was able to get distributed writes working smoothly for my use case. Tasks 
in a Ray cluster use `_dataframe_to_data_files` to write the data files to S3, 
then the resulting DataFile objects are aggregated by a central actor for a 
large delete + append transaction. Fortunately the Ray serialization 
(cloudpickle) works out of the box for DataFile objects so no additional work 
was required there. [MOR](https://github.com/apache/iceberg-python/issues/1078) 
would be helpful in the case where a lot of data needs to be deleted, ideally I 
could offload the large scale compaction/rewrites to AWS Athena or Glue since 
the Python support for that isn't quite there. 


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