andygrove closed issue #646: Dropping Spark 3.3 support
URL: https://github.com/apache/datafusion-comet/issues/646
--
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 unsubscrib
andygrove commented on issue #646:
URL:
https://github.com/apache/datafusion-comet/issues/646#issuecomment-2704696702
I would now like to suggest that we drop support for Spark 3.3 once we have
released Comet 0.7.0.
The main motivation is that we need to add new CI checks for the new
andygrove commented on issue #646:
URL:
https://github.com/apache/datafusion-comet/issues/646#issuecomment-2223103255
> but because we have not done a release users will have no way to take
advantage of the work we did to support those versions
This is a good point. I am hoping that
parthchandra commented on issue #646:
URL:
https://github.com/apache/datafusion-comet/issues/646#issuecomment-2221023876
There are a couple of considerations here -
1) What version of Spark users are likely to be on (and therefore likely to
want to use Comet with)?
2) What are the c
kazuyukitanimura commented on issue #646:
URL:
https://github.com/apache/datafusion-comet/issues/646#issuecomment-2220891918
+1 To be accurate, only experimental support is provided for Spark 3.5.1 and
4.0.0 as of now though
--
This is an automated message from the Apache Git Service.
To
viirya commented on issue #646:
URL:
https://github.com/apache/datafusion-comet/issues/646#issuecomment-2218755518
What is the most burden for now for Spark 3.3 support?
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use
