timsaucer opened a new issue, #822: URL: https://github.com/apache/datafusion-python/issues/822
**Is your feature request related to a problem or challenge? Please describe what you are trying to do.** There are some cases where you would like to pass additional data to a UDF that are not expressions. For example, suppose you wrote a UDF that did some kind of lookup and the function had a signature like `def my_lookup(column: Expr, lookup_values: dict[str, str]) -> Expr` It would be convenient to allow for passing in arbitrary data. **Describe the solution you'd like** Most likely this would mean a change to `PyScalarUDF::__call__` and I could see changing the function definition to something like `fn __call__(&self, args: Vec<PyAny>) -> PyResult<PyExpr>`. It's not immediately obvious to me how to set additional parameters, but it may mean switching from `SimpleScalarUDF` to a different `ScalarUDFImpl` to carry the additional data. **Describe alternatives you've considered** Right now you would need to do one of these approaches - create a class that you can set these values on and then use the `__call__` function as your UDF - take advantage of setting the variable scope for `lookup_values` - Pass the variables as literals **Additional context** -- 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]
