JeonDaehong commented on issue #13679:
URL: https://github.com/apache/iceberg/issues/13679#issuecomment-3166132355

   Hi, I'm seeing issues when reading Parquet files with timestamp[ns]. 
PyIceberg downcasts to us, but Spark misinterprets the values and shows 
timestamps far in the future.
   
   Is there a recommended way to handle timestamp[ns] with Iceberg? Would 
normalizing to us before writing be the best option, or is there a better 
approach?
   
   Thanks!


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