ozankabak commented on code in PR #5908:
URL: https://github.com/apache/arrow-datafusion/pull/5908#discussion_r1160969184
##########
datafusion/expr/src/type_coercion/aggregates.rs:
##########
@@ -263,6 +263,14 @@ fn check_arg_count(
)));
}
}
+ TypeSignature::VariadicAny => {
+ if input_types.is_empty() {
+ return Err(DataFusionError::Plan(format!(
+ "The function {:?} expects at least one arguments",
Review Comment:
```suggestion
"The function {:?} expects at least one argument",
```
##########
datafusion/expr/src/type_coercion/functions.rs:
##########
@@ -78,6 +78,9 @@ fn get_valid_types(
.map(|_| current_types[0].clone())
.collect()]
}
+ TypeSignature::VariadicAny => vec![(0..current_types.len())
+ .map(|i| current_types[i].clone())
+ .collect()],
Review Comment:
Would the more simple `vec![current_types.iter().map(|c|
c.clone()).collect()]` work too?
##########
datafusion/physical-expr/src/aggregate/count.rs:
##########
@@ -53,11 +55,43 @@ impl Count {
) -> Self {
Self {
name: name.into(),
- expr,
+ exprs: vec![expr],
data_type,
nullable: true,
}
}
+
+ pub fn new_with_multiple_exprs(
+ exprs: Vec<Arc<dyn PhysicalExpr>>,
+ name: impl Into<String>,
+ data_type: DataType,
+ ) -> Self {
+ Self {
+ name: name.into(),
+ exprs,
+ data_type,
+ nullable: true,
+ }
+ }
+}
+
+/// count null values for multiple columns
+/// for each row if one column value is null, then null_count + 1
+fn null_count_for_multiple_cols(values: &[ArrayRef]) -> usize {
Review Comment:
I have a feeling this can be done with a simpler logic but we can always
refactor later.
##########
datafusion/expr/src/signature.rs:
##########
@@ -46,6 +46,8 @@ pub enum TypeSignature {
// A function such as `array` is `VariadicEqual`
// The first argument decides the type used for coercion
VariadicEqual,
+ /// arbitrary number of arguments of an arbitrary type
Review Comment:
This means to say all arguments can have different types right? I suggest:
```suggestion
/// arbitrary number of arguments with arbitrary types
```
##########
datafusion/core/tests/sql/errors.rs:
##########
@@ -58,7 +58,7 @@ async fn test_aggregation_with_bad_arguments() -> Result<()> {
assert_eq!(
err,
DataFusionError::Plan(
- "The function Count expects 1 arguments, but 0 were
provided".to_string()
+ "The function Count expects at least one arguments".to_string()
Review Comment:
```suggestion
"The function Count expects at least one argument".to_string()
```
##########
datafusion/expr/src/signature.rs:
##########
@@ -89,6 +91,13 @@ impl Signature {
volatility,
}
}
+ /// variadic_any - Creates a variadic signature that represents an
arbitrary number of arguments of the any type.
Review Comment:
```suggestion
/// variadic_any - Creates a variadic signature that represents an
arbitrary number of arguments of any type.
```
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