use crate::utils::make_scalar_function;
use arrow::array::{
Array, ArrayRef, GenericListArray, MapArray, OffsetSizeTrait, UInt64Array,
};
use arrow::datatypes::{
DataType,
DataType::{LargeList, List, Map, Null, UInt64},
};
use datafusion_common::cast::{as_large_list_array, as_list_array, as_map_array};
use datafusion_common::exec_err;
use datafusion_common::utils::{take_function_args, ListCoercion};
use datafusion_common::Result;
use datafusion_expr::{
ArrayFunctionArgument, ArrayFunctionSignature, ColumnarValue, Documentation,
ScalarUDFImpl, Signature, TypeSignature, Volatility,
};
use datafusion_macros::user_doc;
use std::any::Any;
use std::sync::Arc;
make_udf_expr_and_func!(
Cardinality,
cardinality,
array,
"returns the total number of elements in the array or map.",
cardinality_udf
);
impl Cardinality {
pub fn new() -> Self {
Self {
signature: Signature::one_of(
vec![
TypeSignature::ArraySignature(ArrayFunctionSignature::Array {
arguments: vec![ArrayFunctionArgument::Array],
array_coercion: Some(ListCoercion::FixedSizedListToList),
}),
TypeSignature::ArraySignature(ArrayFunctionSignature::MapArray),
],
Volatility::Immutable,
),
aliases: vec![],
}
}
}
#[user_doc(
doc_section(label = "Array Functions"),
description = "Returns the total number of elements in the array.",
syntax_example = "cardinality(array)",
sql_example = r#"```sql
> select cardinality([[1, 2, 3, 4], [5, 6, 7, 8]]);
+--------------------------------------+
| cardinality(List([1,2,3,4,5,6,7,8])) |
+--------------------------------------+
| 8 |
+--------------------------------------+
```"#,
argument(
name = "array",
description = "Array expression. Can be a constant, column, or function, and any combination of array operators."
)
)]
#[derive(Debug)]
pub struct Cardinality {
signature: Signature,
aliases: Vec<String>,
}
impl Default for Cardinality {
fn default() -> Self {
Self::new()
}
}
impl ScalarUDFImpl for Cardinality {
fn as_any(&self) -> &dyn Any {
self
}
fn name(&self) -> &str {
"cardinality"
}
fn signature(&self) -> &Signature {
&self.signature
}
fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
Ok(UInt64)
}
fn invoke_with_args(
&self,
args: datafusion_expr::ScalarFunctionArgs,
) -> Result<ColumnarValue> {
make_scalar_function(cardinality_inner)(&args.args)
}
fn aliases(&self) -> &[String] {
&self.aliases
}
fn documentation(&self) -> Option<&Documentation> {
self.doc()
}
}
pub fn cardinality_inner(args: &[ArrayRef]) -> Result<ArrayRef> {
let [array] = take_function_args("cardinality", args)?;
match array.data_type() {
Null => Ok(Arc::new(UInt64Array::from_value(0, array.len()))),
List(_) => {
let list_array = as_list_array(array)?;
generic_list_cardinality::<i32>(list_array)
}
LargeList(_) => {
let list_array = as_large_list_array(array)?;
generic_list_cardinality::<i64>(list_array)
}
Map(_, _) => {
let map_array = as_map_array(array)?;
generic_map_cardinality(map_array)
}
arg_type => {
exec_err!("cardinality does not support type {arg_type}")
}
}
}
fn generic_map_cardinality(array: &MapArray) -> Result<ArrayRef> {
let result: UInt64Array = array
.iter()
.map(|opt_arr| opt_arr.map(|arr| arr.len() as u64))
.collect();
Ok(Arc::new(result))
}
fn generic_list_cardinality<O: OffsetSizeTrait>(
array: &GenericListArray<O>,
) -> Result<ArrayRef> {
let result = array
.iter()
.map(|arr| match crate::utils::compute_array_dims(arr)? {
Some(vector) => Ok(Some(vector.iter().map(|x| x.unwrap()).product::<u64>())),
None => Ok(None),
})
.collect::<Result<UInt64Array>>()?;
Ok(Arc::new(result) as ArrayRef)
}