parthchandra opened a new issue, #7439: URL: https://github.com/apache/datafusion-comet/issues/7439
### What is the problem the feature request solves? Native `approx_percentile` accepts byte, short, int, long, float and double input. Spark also accepts decimal, date, timestamp and interval input. For those types the aggregate falls back to Spark, along with the operators above it. ### Describe the potential solution Support decimal, date and timestamp input (and ANSI intervals once #5061 lands), returning the same type and the same percentile picks as Spark. ### Additional context Related: #7300. -- 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]
