0lai0 commented on issue #23929:
URL: https://github.com/apache/datafusion/issues/23929#issuecomment-5143392167

   Sounds great, one-issue-per-expression with the epic linking them works well.
   
   On the "used outside Spark" point: the decimal overflow case in 
apache/datafusion-comet#5022 is a concrete example. 
   Per that issue's description, the overflow Err originates in core 
ScalarValue arithmetic rather than a datafusion-spark expression, so it's a 
case where the caveat applies. Not sure if it fits this epic's scope, but 
flagging it. Let me know if it's worth a linked issue.
   
   One more thing: some ANSI work is cross-cutting (the session ansi flag 
plumbing, a shared overflow helper) rather than per-expression. Would a shared 
infra issue help, so each expression issue can build on it instead of redoing 
it?


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