alamb commented on code in PR #8341:
URL: https://github.com/apache/arrow-datafusion/pull/8341#discussion_r1408229193
##########
datafusion/core/tests/dataframe/mod.rs:
##########
@@ -1597,3 +1597,28 @@ async fn test_array_agg() -> Result<()> {
Ok(())
}
+
+#[tokio::test]
+async fn aggregate_with_alias() -> Result<()> {
+ let ctx = SessionContext::new();
+ let state = ctx.state();
+
+ let schema = Arc::new(Schema::new(vec![
+ Field::new("c1", DataType::Utf8, false),
+ Field::new("c2", DataType::UInt32, false),
+ ]));
+
+ let plan = scan_empty(None, schema.as_ref(), None)?
+ .aggregate(vec![col("c1")], vec![sum(col("c2"))])?
+ .project(vec![col("c1"), sum(col("c2")).alias("total_salary")])?
+ .build()?;
+
+ let plan = state.optimize(&plan)?;
+ let physical_plan = state.create_physical_plan(&Arc::new(plan)).await?;
+ assert_eq!("c1", physical_plan.schema().field(0).name().as_str());
+ assert_eq!(
+ "total_salary",
+ physical_plan.schema().field(1).name().as_str()
Review Comment:
You are right -- I mistakenly assumed that the `scan_empty` was returning a
DataFrame (it is actually returning a `LogicalPlanBuilder`):
https://github.com/alamb/arrow-datafusion/blob/9a15bf89682728a277cc0a8f443fbd4ba8398ae6/datafusion/core/src/test_util/mod.rs#L133
I will see if I can find a better home for this
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