joroKr21 commented on code in PR #15149:
URL: https://github.com/apache/datafusion/pull/15149#discussion_r1997523937
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datafusion/functions-nested/src/dimension.rs:
##########
@@ -204,59 +194,57 @@ pub fn array_dims_inner(args: &[ArrayRef]) ->
Result<ArrayRef> {
let [array] = take_function_args("array_dims", args)?;
let data = match array.data_type() {
- List(_) => {
- let array = as_list_array(&array)?;
- array
- .iter()
- .map(compute_array_dims)
- .collect::<Result<Vec<_>>>()?
- }
- LargeList(_) => {
- let array = as_large_list_array(&array)?;
- array
- .iter()
- .map(compute_array_dims)
- .collect::<Result<Vec<_>>>()?
- }
- array_type => {
- return exec_err!("array_dims does not support type
'{array_type:?}'");
+ List(_) => as_list_array(&array)?
+ .iter()
+ .map(compute_array_dims)
+ .collect::<Result<Vec<_>>>()?,
+ LargeList(_) => as_large_list_array(&array)?
+ .iter()
+ .map(compute_array_dims)
+ .collect::<Result<Vec<_>>>()?,
+ arg_type => {
+ return exec_err!(
+ "array_dims does not support an argument of type {arg_type}"
+ );
}
};
let result = ListArray::from_iter_primitive::<UInt64Type, _, _>(data);
-
- Ok(Arc::new(result) as ArrayRef)
+ Ok(Arc::new(result))
}
/// Array_ndims SQL function
pub fn array_ndims_inner(args: &[ArrayRef]) -> Result<ArrayRef> {
- let [array_dim] = take_function_args("array_ndims", args)?;
+ let [array] = take_function_args("array_ndims", args)?;
fn general_list_ndims<O: OffsetSizeTrait>(
array: &GenericListArray<O>,
) -> Result<ArrayRef> {
- let mut data = Vec::new();
- let ndims = datafusion_common::utils::list_ndims(array.data_type());
-
+ let mut builder = UInt64Builder::with_capacity(array.len());
+ let ndims = list_ndims(array.data_type());
for arr in array.iter() {
if arr.is_some() {
- data.push(Some(ndims))
+ builder.append_value(ndims)
Review Comment:
I optimized it to use `vec![ndims, array.len()]` and just clone the null
buffer from the array
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