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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2021/05/11 11:26:55 UTC

[GitHub] [arrow-datafusion] alamb commented on a change in pull request #307: fix 305 by using a scalar uint as param for zero param functions

alamb commented on a change in pull request #307:
URL: https://github.com/apache/arrow-datafusion/pull/307#discussion_r630079422



##########
File path: datafusion/src/physical_plan/functions.rs
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@@ -1373,20 +1374,28 @@ impl PhysicalExpr for ScalarFunctionExpr {
     }
 
     fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue> {

Review comment:
       I think this approach, while a hack, seems reasonable to me
   
   I agree with the comments on https://github.com/apache/arrow-datafusion/pull/303#discussion_r629859725 that this does seem like a hack (it would be nicer to have an enum or something that made this case explicit).
   
   
   I would like to see this expectation documented near the place where a user would define a UDF as well - either as an example or as a doccomment. Perhaps somewhere in 
   https://github.com/apache/arrow-datafusion/blob/master/datafusion/src/physical_plan/udf.rs
   
   Or bonus points for adding an example:
   https://github.com/apache/arrow-datafusion/blob/master/datafusion-examples/examples/simple_udf.rs
   
   
   cc; @msathis  who I think faced a similar challenge in `now()`: https://github.com/apache/arrow-datafusion/pull/288




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