jayzhan211 commented on code in PR #11564:
URL: https://github.com/apache/datafusion/pull/11564#discussion_r1685855487
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datafusion/physical-expr-common/src/aggregate/mod.rs:
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@@ -81,6 +86,61 @@ pub fn create_aggregate_expr(
.map(|e| e.expr.data_type(schema))
.collect::<Result<Vec<_>>>()?;
+ let ordering_fields = ordering_fields(ordering_req, &ordering_types);
+ let name = name.into();
+
+ Ok(Arc::new(AggregateFunctionExpr {
+ fun: fun.clone(),
+ args: input_phy_exprs.to_vec(),
+ logical_args: input_exprs.to_vec(),
+ data_type: fun.return_type(&input_exprs_types)?,
+ name,
+ schema: schema.clone(),
+ dfschema: DFSchema::empty(),
+ sort_exprs: sort_exprs.to_vec(),
+ ordering_req: ordering_req.to_vec(),
+ ignore_nulls,
+ ordering_fields,
+ is_distinct,
+ input_type: input_exprs_types[0].clone(),
+ is_reversed,
+ }))
+}
+
+#[allow(clippy::too_many_arguments)]
+// This is not for external usage, consider creating with
`create_aggregate_expr` instead.
+pub fn create_aggregate_expr_with_dfschema(
Review Comment:
first/last and ordered_array_agg are switched to this function. After #11359
, I think we can have a single `create_aggregate_expr` again.
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