nchammas commented on PR #49839: URL: https://github.com/apache/spark/pull/49839#issuecomment-2916653294
I'm just learning about this new feature from the release notes. Do we have docs that explain _when_ or _why_ users would want to use table-valued functions? My first reaction, based just off of the name "table-valued function" in the context of the DataFrame API, is to wonder why we need such a feature, since with Python/Scala/etc. you can just have regular functions that return DataFrames. Isn't that the same thing? (I suspect it's probably not, but I ask this question to motivate the need for some basic docs explaining the when/why of DataFrame TVFs.) -- 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