use arrow::array::StructArray;
use arrow::datatypes::{DataType, Field, FieldRef, Fields};
use datafusion_common::{exec_err, internal_err, Result};
use datafusion_expr::{
ColumnarValue, Documentation, ReturnFieldArgs, ScalarFunctionArgs,
};
use datafusion_expr::{ScalarUDFImpl, Signature, Volatility};
use datafusion_macros::user_doc;
use std::any::Any;
use std::sync::Arc;
#[user_doc(
doc_section(label = "Struct Functions"),
description = "Returns an Arrow struct using the specified name and input expressions pairs.",
syntax_example = "named_struct(expression1_name, expression1_input[, ..., expression_n_name, expression_n_input])",
sql_example = r#"
For example, this query converts two columns `a` and `b` to a single column with
a struct type of fields `field_a` and `field_b`:
```sql
> select * from t;
+---+---+
| a | b |
+---+---+
| 1 | 2 |
| 3 | 4 |
+---+---+
> select named_struct('field_a', a, 'field_b', b) from t;
+-------------------------------------------------------+
| named_struct(Utf8("field_a"),t.a,Utf8("field_b"),t.b) |
+-------------------------------------------------------+
| {field_a: 1, field_b: 2} |
| {field_a: 3, field_b: 4} |
+-------------------------------------------------------+
```"#,
argument(
name = "expression_n_name",
description = "Name of the column field. Must be a constant string."
),
argument(
name = "expression_n_input",
description = "Expression to include in the output struct. Can be a constant, column, or function, and any combination of arithmetic or string operators."
)
)]
#[derive(Debug)]
pub struct NamedStructFunc {
signature: Signature,
}
impl Default for NamedStructFunc {
fn default() -> Self {
Self::new()
}
}
impl NamedStructFunc {
pub fn new() -> Self {
Self {
signature: Signature::variadic_any(Volatility::Immutable),
}
}
}
impl ScalarUDFImpl for NamedStructFunc {
fn as_any(&self) -> &dyn Any {
self
}
fn name(&self) -> &str {
"named_struct"
}
fn signature(&self) -> &Signature {
&self.signature
}
fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
internal_err!(
"named_struct: return_type called instead of return_field_from_args"
)
}
fn return_field_from_args(&self, args: ReturnFieldArgs) -> Result<FieldRef> {
if args.scalar_arguments.is_empty() {
return exec_err!(
"named_struct requires at least one pair of arguments, got 0 instead"
);
}
if args.scalar_arguments.len() % 2 != 0 {
return exec_err!(
"named_struct requires an even number of arguments, got {} instead",
args.scalar_arguments.len()
);
}
let names = args
.scalar_arguments
.iter()
.enumerate()
.step_by(2)
.map(|(i, sv)|
sv.and_then(|sv| sv.try_as_str().flatten().filter(|s| !s.is_empty()))
.map_or_else(
||
exec_err!(
"{} requires {i}-th (0-indexed) field name as non-empty constant string",
self.name()
),
Ok
)
)
.collect::<Result<Vec<_>>>()?;
let types = args
.arg_fields
.iter()
.skip(1)
.step_by(2)
.map(|f| f.data_type())
.collect::<Vec<_>>();
let return_fields = names
.into_iter()
.zip(types.into_iter())
.map(|(name, data_type)| Ok(Field::new(name, data_type.to_owned(), true)))
.collect::<Result<Vec<Field>>>()?;
Ok(Field::new(
self.name(),
DataType::Struct(Fields::from(return_fields)),
true,
)
.into())
}
fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result<ColumnarValue> {
let DataType::Struct(fields) = args.return_type() else {
return internal_err!("incorrect named_struct return type");
};
assert_eq!(
fields.len(),
args.args.len() / 2,
"return type field count != argument count / 2"
);
let values: Vec<ColumnarValue> = args
.args
.chunks_exact(2)
.map(|chunk| chunk[1].clone())
.collect();
let arrays = ColumnarValue::values_to_arrays(&values)?;
Ok(ColumnarValue::Array(Arc::new(StructArray::new(
fields.clone(),
arrays,
None,
))))
}
fn documentation(&self) -> Option<&Documentation> {
self.doc()
}
}