Blizzara opened a new issue, #3: URL: https://github.com/apache/datafusion-spark/issues/3
### Is your feature request related to a problem or challenge? We're looking to use DataFusion as a replacement for Spark for some workflows, through Spark -> Substrait -> DataFusion conversions. Lot of the functionality already works, and it's been nice to see DataFusion and Spark agree on most behavior we've tested so far. However, one place where we're seeing more differences is the CAST expression, for example on casting complex types into strings (, or casting strings into numbers (where Spark is more lenient). One option I've considered is to use [Comet's cast](https://github.com/apache/datafusion-comet/blob/main/core/src/execution/datafusion/expressions/cast.rs), which I'd expect to be closer aligned with Spark (or at least on the way there). However, is there a way for me to replace/redirect the inbuilt Cast expression into using the Comet implementation? Or would there be any other alternatives I could try? ### Describe the solution you'd like _No response_ ### Describe alternatives you've considered _No response_ ### Additional context _No response_ -- 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]
