RussellSpitzer commented on issue #2244: URL: https://github.com/apache/iceberg/issues/2244#issuecomment-786378195
We decided in the last Sync that a reasonable solution here would be for Spark to read both timezone types as timestamp with timezone with a flag disabling this behavior by default. If the flag is disabled an error message would alert the user that Spark cannot handle the two different types and will always display the local timezone, but the underlying data would be correct. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
