ahmed-mez commented on code in PR #18906:
URL: https://github.com/apache/datafusion/pull/18906#discussion_r2559293541
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datafusion/physical-plan/src/aggregates/row_hash.rs:
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@@ -1164,11 +1189,11 @@ impl GroupedHashAggregateStream {
fn set_input_done_and_produce_output(&mut self) -> Result<()> {
self.input_done = true;
self.group_ordering.input_done();
+ self.group_values.input_done();
let elapsed_compute = self.baseline_metrics.elapsed_compute().clone();
let timer = elapsed_compute.timer();
self.exec_state = if self.spill_state.spills.is_empty() {
- let batch = self.emit(EmitTo::All, false)?;
- batch.map_or(ExecutionState::Done, ExecutionState::ProducingOutput)
+ ExecutionState::DrainingGroups
Review Comment:
> Ok, I think I understand better what's happening now, correct me if I'm
wrong:
>
> * The previous implementation, upon finishing accumulating all groups, it
bundled everything into a big `RecordBatch` and then proceeded to yield slices
of it respecting the configured `batch_size`
> * The current implementation, upon finishing accumulating all groups, it
bundles nothing, and instead each `RecordBatch` of size `batch_size` is bundled
on-demand as the stream gets polled
Yes, that's pretty much it.
> If that's the case, I imagine there's no reason to keep both modes of
emitting outputs right? would there still be any situation where we want the
previous behavior?
Are you referring to `EmitTo::All` vs EmitTo::First(n)` ? It can make sense,
however, I also see `EmitTo::All` being used in many other paths (e.g when
spilling) so I'm not confident enough to make the call. Happy to update the
code accordingly if it's recommended.
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