sungwy commented on PR #1569:
URL: https://github.com/apache/iceberg-python/pull/1569#issuecomment-2621569571

   Thank you for following up on the suggestion @lloyd-EA . I'm glad we 
included this integration test to find out the issue with Spark's timestamp 
conversion.
   
   I think we will have to investigate the corresponding schema evolution 
handling logic in Spark-Iceberg to understand if this is a bug, or an expected 
behavior with Spark.
   
   If it is not possible to fix this issue in Spark-Iceberg, I think it'll mean 
that we will not be able to support adding `ns` timestamp files until [V3 
spec](https://iceberg.apache.org/spec/#version-3-extended-types-and-capabilities)
 is supported.
   
   Please do keep in mind that Iceberg spec is a language agnostic spec, and 
hence ruling out the possibility of using the same Iceberg table with other 
tools (like Trino or Spark) may impact you down the line when your application 
system grows.


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