jiangzhx commented on issue #5791:
URL:
https://github.com/apache/arrow-datafusion/issues/5791#issuecomment-1491983864
@mingmwang thanks a lot. i'm working on #5686, i need to cover all
count(*) scenarios test case to compare betwen sql and dataframe output same
logic plan.
But I have encountered some challenges now, about using dataframe to
generate the same logical plan as SQL
the below dataframe testcase will failed to create physical plan
```
#[tokio::test]
async fn test_count_wildcard_on_where_scalar_subquery() -> Result<()> {
let ctx = create_join_context()?;
ctx.sql("select a,b from t1 where (select count(*) from t2 where t1.a =
t2.a)>0;")
.await?
.explain(false, false)?
.show()
.await?;
let subquery=Expr::ScalarSubquery(datafusion_expr::Subquery {
subquery: Arc::new(
ctx.table("t2")
.await?
.filter(
col(Column::from_qualified_name("t1.a")).eq(col("t2.a")))?
.aggregate(vec![], vec![count(Wildcard)])?
.into_optimized_plan()
.unwrap(),
),
outer_ref_columns: vec![],
}) ;
ctx.table("t1")
.await?
.filter(
subquery.gt(lit(ScalarValue::UInt8(Some(0))))
)?
.select(vec![col("t1.a"), col("t1.b")])?
.explain(false, false)?
.show()
.await?;
Ok(())
}
```
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