Re: [PR] feat: Add spark-compat mode to integrate datafusion-spark features au… [datafusion-ballista]

["mattcuento (via GitHub)" <gi...@apache.org>]

mattcuento commented on PR #1416:
URL: https://github.com/apache/datafusion-ballista/pull/1416#issuecomment-3836432022

   @milenkovicm 
   > also if we there are table functions to be supported, we may need to create encoder for them. so I'd suggest to ignore table functions for now and take them as a follow up if you agree
   
   Yup agreed, happy to take the easy wins for scalar/window/aggregate for now and can see what we can do with table functions as a follow up!
   
   @andygrove 
   > Adding Spark compatibility is a pretty major feature(!), so I think there should be a documentation update as part of this PR. I would be careful to explain it as "using Spark-compatible expressions" where available, rather than full compatibility.
   
   Good point, I can write something up as a part of this 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: github-unsubscribe@datafusion.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


---------------------------------------------------------------------
To unsubscribe, e-mail: github-unsubscribe@datafusion.apache.org
For additional commands, e-mail: github-help@datafusion.apache.org