HyukjinKwon opened a new pull request, #42392: URL: https://github.com/apache/spark/pull/42392
### What changes were proposed in this pull request? This PR proposes to respect `TimestampNTZ` type in resampling at pandas API on Spark. ### Why are the changes needed? It still operates as if the timestamps are `TIMESTAMP_LTZ` even when `spark.sql.timestampType` is set to `TIMESTAMP_NTZ`, which is unexpected. ### Does this PR introduce _any_ user-facing change? This fixes a bug so end users can use exactly same behaviour with pandas with `TimestampNTZType` - pandas does not respect the local timezone with DST. While we might need to follow this even for `TimestampType`, this PR does not address the case as it might be controversial. ### How was this patch tested? Unittest was added. -- 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: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
