andygrove opened a new issue, #4219: URL: https://github.com/apache/datafusion-comet/issues/4219
### Describe the bug Spark 3.x does not allow reading Parquet timestamp columns as TimestampNTZ due to the ambiguity. Spark 4.0 relaxed this restriction. See https://issues.apache.org/jira/browse/SPARK-47447 for details. The behavior of `native_datafusion` scan is correct when running with Spark 4.0+ but incorrect when running with Spark 3.x because it returns a value rather than throwing an exception. The value returned is correct per Spark 4 definition, so this is not a data correctness issue per se, but Comet is more permissive with Spark 3.x ### Steps to reproduce _No response_ ### Expected behavior _No response_ ### Additional context _No response_ -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
