alamb commented on code in PR #5874:
URL: https://github.com/apache/arrow-datafusion/pull/5874#discussion_r1158955096
##########
datafusion/physical-expr/src/window/window_expr.rs:
##########
@@ -281,7 +261,7 @@ pub fn reverse_order_bys(order_bys: &[PhysicalSortExpr]) ->
Vec<PhysicalSortExpr
.iter()
.map(|e| PhysicalSortExpr {
expr: e.expr.clone(),
- options: reverse_sort_options(e.options),
+ options: !e.options,
Review Comment:
❤️
##########
datafusion/core/src/physical_plan/windows/bounded_window_agg_exec.rs:
##########
@@ -628,23 +625,6 @@ impl SortedPartitionByBoundedWindowStream {
.map(|e| e.evaluate_to_sort_column(batch))
.collect::<Result<Vec<_>>>()
}
-
- /// evaluate the partition points given the sort columns; if the sort
columns are
Review Comment:
it is nice to avoid this repetition 👍
##########
datafusion/common/src/utils.rs:
##########
@@ -162,6 +163,23 @@ where
Ok(low)
}
+/// This function finds the partition points according to `partition_columns`.
+/// If there are no sort columns, then the result will be a single element
+/// vector containing one partition range spanning all data.
+pub fn evaluate_partition_points(
Review Comment:
I agree `evaluate_partition_ranges` sounds more specific.
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