syun64 commented on issue #348: URL: https://github.com/apache/iceberg-python/issues/348#issuecomment-1921881237
@Fokko I'm realizing that there's a two different layers to this edge case: 1. Handling of Null only columns 2. Support for writing empty tables / dataframes that behaves consistently with Spark I'm resolving (1) by just avoiding serialization in [min_as_bytes if self.current_min is None](https://github.com/apache/iceberg-python/blob/29db67fef819f2df0b30ea7decb10537f5a22eef/pyiceberg/io/pyarrow.py#L1343C21-L1343C30). I'm just trying to see if we can resolve (2) and group that into the same PR. -- 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: issues-unsubscr...@iceberg.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For additional commands, e-mail: issues-h...@iceberg.apache.org
