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Minor: Avoid recomputing compute_array_ndims in align_array_dimensions #7963

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75 changes: 56 additions & 19 deletions datafusion/physical-expr/src/array_expressions.rs
Original file line number Diff line number Diff line change
Expand Up @@ -725,35 +725,31 @@ pub fn array_prepend(args: &[ArrayRef]) -> Result<ArrayRef> {
}

fn align_array_dimensions(args: Vec<ArrayRef>) -> Result<Vec<ArrayRef>> {
// Find the maximum number of dimensions
let max_ndim: u64 = (*args
let args_ndim = args
.iter()
.map(|arr| compute_array_ndims(Some(arr.clone())))
.collect::<Result<Vec<Option<u64>>>>()?
.iter()
.max()
.unwrap())
.unwrap();
.map(|arg| compute_array_ndims(Some(arg.to_owned())))
.collect::<Result<Vec<_>>>()?
.into_iter()
.map(|x| x.unwrap_or(0))
.collect::<Vec<_>>();
let max_ndim = args_ndim.iter().max().unwrap_or(&0);

// Align the dimensions of the arrays
let aligned_args: Result<Vec<ArrayRef>> = args
.into_iter()
.map(|array| {
let ndim = compute_array_ndims(Some(array.clone()))?.unwrap();
.zip(args_ndim.iter())
.map(|(array, ndim)| {
if ndim < max_ndim {
let mut aligned_array = array.clone();
for _ in 0..(max_ndim - ndim) {
let data_type = aligned_array.as_ref().data_type().clone();
let offsets: Vec<i32> =
(0..downcast_arg!(aligned_array, ListArray).offsets().len())
.map(|i| i as i32)
.collect();
let field = Arc::new(Field::new("item", data_type, true));
let data_type = aligned_array.data_type().to_owned();
let array_lengths = vec![1; aligned_array.len()];
let offsets = OffsetBuffer::<i32>::from_lengths(array_lengths);

aligned_array = Arc::new(ListArray::try_new(
field,
OffsetBuffer::new(offsets.into()),
Arc::new(aligned_array.clone()),
Arc::new(Field::new("item", data_type, true)),
offsets,
aligned_array,
None,
)?)
}
Expand Down Expand Up @@ -1923,6 +1919,47 @@ mod tests {
use arrow::datatypes::Int64Type;
use datafusion_common::cast::as_uint64_array;

#[test]
fn test_align_array_dimensions() {
let array1d_1 =
Arc::new(ListArray::from_iter_primitive::<Int64Type, _, _>(vec![
Some(vec![Some(1), Some(2), Some(3)]),
Some(vec![Some(4), Some(5)]),
]));
let array1d_2 =
Arc::new(ListArray::from_iter_primitive::<Int64Type, _, _>(vec![
Some(vec![Some(6), Some(7), Some(8)]),
]));

let array2d_1 = Arc::new(array_into_list_array(array1d_1.clone())) as ArrayRef;
let array2d_2 = Arc::new(array_into_list_array(array1d_2.clone())) as ArrayRef;

let res =
align_array_dimensions(vec![array1d_1.to_owned(), array2d_2.to_owned()])
.unwrap();

let expected = as_list_array(&array2d_1).unwrap();
let expected_dim = compute_array_ndims(Some(array2d_1.to_owned())).unwrap();
assert_ne!(as_list_array(&res[0]).unwrap(), expected);
assert_eq!(
compute_array_ndims(Some(res[0].clone())).unwrap(),
expected_dim
);

let array3d_1 = Arc::new(array_into_list_array(array2d_1)) as ArrayRef;
let array3d_2 = array_into_list_array(array2d_2.to_owned());
let res =
align_array_dimensions(vec![array1d_1, Arc::new(array3d_2.clone())]).unwrap();

let expected = as_list_array(&array3d_1).unwrap();
let expected_dim = compute_array_ndims(Some(array3d_1.to_owned())).unwrap();
assert_ne!(as_list_array(&res[0]).unwrap(), expected);
assert_eq!(
compute_array_ndims(Some(res[0].clone())).unwrap(),
expected_dim
);
}

#[test]
fn test_array() {
// make_array(1, 2, 3) = [1, 2, 3]
Expand Down