Dandandan commented on code in PR #6837:
URL: https://github.com/apache/arrow-datafusion/pull/6837#discussion_r1252016225
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datafusion/physical-expr/src/aggregate/median.rs:
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@@ -111,13 +112,28 @@ impl PartialEq<dyn Any> for Median {
/// The intermediate state is represented as a List of those scalars
struct MedianAccumulator {
data_type: DataType,
+ batches: Vec<ArrayRef>,
all_values: Vec<ScalarValue>,
}
+fn to_scalar_values(arrays: &[ArrayRef]) -> Result<Vec<ScalarValue>> {
+ let num_values: usize = arrays.iter().map(|a| a.len()).sum();
+ let mut all_values = Vec::with_capacity(num_values);
+
+ for array in arrays {
+ for index in 0..array.len() {
+ all_values.push(ScalarValue::try_from_array(&array, index)?);
+ }
+ }
+
+ Ok(all_values)
+}
+
impl Accumulator for MedianAccumulator {
fn state(&self) -> Result<Vec<ScalarValue>> {
- let state =
- ScalarValue::new_list(Some(self.all_values.clone()),
self.data_type.clone());
+ let all_values = to_scalar_values(&self.batches)?;
+ let state = ScalarValue::new_list(Some(all_values),
self.data_type.clone());
Review Comment:
Yeah that's what I was trying to suggest - this would avoid the need to
convert / allocate to individual `ScalarValue`s and convert to `Array` later on
again.
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