cloud-fan commented on issue #25981: [SPARK-28420][SQL] Support the `INTERVAL` type in `date_part()` URL: https://github.com/apache/spark/pull/25981#issuecomment-543067902 Before I look into the code, let me ask a few high-level questions. I'm ok with exposing the `date_part` function in Spark if it makes sense. After reading all the discussions, seems like the behavior of `date_part`: when extracting unit bigger than second, return an integer of the unit's value from the normalized date/timestamp/interval. when extracting unit smaller than second, return a fraction of the second unit's value from the normalized date/timestamp/interval. If that's how it is implemented, I'm fine.
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