viirya commented on code in PR #9031:
URL: https://github.com/apache/arrow-datafusion/pull/9031#discussion_r1470241531
##########
datafusion/core/tests/user_defined/user_defined_scalar_functions.rs:
##########
@@ -392,6 +396,112 @@ async fn test_user_defined_functions_with_alias() ->
Result<()> {
Ok(())
}
+#[derive(Debug)]
+pub struct RandomUDF {
+ signature: Signature,
+}
+
+impl RandomUDF {
+ pub fn new() -> Self {
+ Self {
+ signature: Signature::one_of(
+ vec![Any(0), Variadic(vec![Float64])],
+ Volatility::Volatile,
+ ),
+ }
+ }
+}
+
+impl ScalarUDFImpl for RandomUDF {
+ fn as_any(&self) -> &dyn std::any::Any {
+ self
+ }
+
+ fn name(&self) -> &str {
+ "random_udf"
+ }
+
+ fn signature(&self) -> &Signature {
+ &self.signature
+ }
+
+ fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
+ Ok(Float64)
+ }
+
+ fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> {
+ let len: usize = match &args[0] {
+ ColumnarValue::Array(array) => array.len(),
+ _ => {
+ return Err(datafusion::error::DataFusionError::Internal(
+ "Invalid argument type".to_string(),
+ ))
+ }
+ };
+ let mut rng = thread_rng();
+ let values = iter::repeat_with(|| rng.gen_range(0.1..1.0)).take(len);
+ let array = Float64Array::from_iter_values(values);
+ Ok(ColumnarValue::Array(Arc::new(array)))
+ }
+}
+
+#[tokio::test]
+async fn test_user_defined_functions_zero_argument() -> Result<()> {
+ let ctx = SessionContext::new();
+
+ let schema = Arc::new(Schema::new(vec![
+ Field::new("index", DataType::UInt8, false),
+ Field::new("uint", DataType::UInt64, true),
+ Field::new("int", DataType::Int64, true),
+ Field::new("float", DataType::Float64, true),
+ ]));
+
+ let batch = RecordBatch::try_new(
+ schema,
+ vec![
+ Arc::new(UInt8Array::from_iter_values([1, 2, 3])),
+ Arc::new(UInt64Array::from(vec![Some(2), Some(3), None])),
+ Arc::new(Int64Array::from(vec![Some(-2), Some(3), None])),
+ Arc::new(Float64Array::from(vec![Some(1.0), Some(3.3), None])),
+ ],
+ )?;
+
+ ctx.register_batch("data_table", batch)?;
+
+ let random_normal_udf = ScalarUDF::from(RandomUDF::new());
+ ctx.register_udf(random_normal_udf);
+
+ let result = plan_and_collect(
+ &ctx,
+ "SELECT random_udf() AS random_udf, random() AS native_random FROM
data_table",
+ )
+ .await?;
+
+ assert_eq!(result.len(), 1);
+ let batch = &result[0];
+ let random_udf = batch
+ .column(0)
+ .as_any()
+ .downcast_ref::<Float64Array>()
+ .unwrap();
+ let native_random = batch
+ .column(1)
+ .as_any()
+ .downcast_ref::<Float64Array>()
+ .unwrap();
+
+ assert_eq!(random_udf.len(), native_random.len());
+
+ let mut previous = 1.0;
Review Comment:
I think the range `0..1.0` is exclusive on the end point?
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