FelixYBW commented on PR #59313:
URL: https://github.com/apache/spark/pull/59313#issuecomment-6226862999

   > https://github.com/apache/spark/pull/59424, which replaces this PR, adds a 
test of Arrow UDFs over a native data source.
   
   Do you mean you'll support FFM only for the native implementation?
   
   > https://github.com/apache/spark/pull/59551
   
   Looks like the PR introduced a full copy of every pass-through column of 
every batch. To Python UDF, the extra copy isn't a big issue. But we should be 
able to find way to avoid it. Reusing data is one of the main considerations we 
introduced with the Arrow data format. 


-- 
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: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to