kbendick edited a comment on issue #3541:
URL: https://github.com/apache/iceberg/issues/3541#issuecomment-972483927


   If you have further ideas (or even better, a PR), I'm definitely open to 
hearing them as I'd love to get this fixed. As I said, I'll try to reach out to 
some contacts who might be able to shed more insight.
   
   If Spark even threw a different exception based on Cascade, we could catch 
it and then delete everything and retry. But the exception is the same whether 
cascade flag is used or not.


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