rluvaton commented on code in PR #23407:
URL: https://github.com/apache/datafusion/pull/23407#discussion_r3570273331
##########
datafusion/physical-plan/src/sorts/merge.rs:
##########
@@ -171,24 +152,40 @@ impl<C: CursorValues> SortPreservingMergeStream<C> {
in_progress: BatchBuilder::new(schema, stream_count, batch_size,
reservation),
streams,
metrics,
- done: false,
- drain_in_progress_on_done: false,
cursors: (0..stream_count).map(|_| None).collect(),
prev_cursors: (0..stream_count).map(|_| None).collect(),
round_robin_tie_breaker_mode: false,
num_of_polled_with_same_value: vec![0; stream_count],
current_reset_epoch: 0,
poll_reset_epochs: vec![0; stream_count],
loser_tree: vec![],
- loser_tree_adjusted: false,
batch_size,
fetch,
produced: 0,
- uninitiated_partitions: (0..stream_count).collect(),
enable_round_robin_tie_breaker,
}
}
+ pub(crate) fn into_stream(self) -> SendableRecordBatchStream
+ where
+ C: 'static,
+ {
+ let schema_clone = Arc::clone(self.in_progress.schema());
+
+ let cloned_metrics = self.metrics.clone();
+
+ let mut this = self;
+ let stream = Gen::new(|co| async move {
Review Comment:
I tried `try_unfold`/`fold` the problem with that is that it keep the flow
of code the same - that is - first check if you are finished, then have code to
reconstruct where you last left off - which is both bad for perf and making it
harder to understand.
having generator like you are able to keep the same flow in context.
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