Jefffrey opened a new issue, #17874:
URL: https://github.com/apache/datafusion/issues/17874
### Is your feature request related to a problem or challenge?
Be able to run something like this:
```rust
use datafusion::error::Result;
use datafusion::functions_aggregate::expr_fn::approx_distinct;
use datafusion::prelude::*;
#[tokio::main]
async fn main() -> Result<()> {
let ctx = SessionContext::new();
let testdata = datafusion::test_util::arrow_test_data();
ctx.register_csv(
"aggregate_test_100",
format!("{testdata}/csv/aggregate_test_100.csv"),
CsvReadOptions::default().has_header(true),
)
.await?;
ctx.table("aggregate_test_100")
.await?
// Run aggregate in select() without needing to do via aggregate()
.select(vec![
approx_distinct(col("c9")).alias("count_c9"),
approx_distinct(cast(col("c9"),
arrow_schema::DataType::Utf8View))
.alias("count_c9_str"),
])?
.show()
.await?;
Ok(())
}
```
Currently failing with:
```
Error: NotImplemented("Physical plan does not support logical expression
AggregateFunction(AggregateFunction { func: AggregateUDF { inner:
ApproxDistinct { name: \"approx_distinct\", signature: Signature {
type_signature: Any(1), volatility: Immutable } } }, params:
AggregateFunctionParams { args: [Column(Column { relation: Some(Bare { table:
\"aggregate_test_100\" }), name: \"c9\" })], distinct: false, filter: None,
order_by: [], null_treatment: None } })")
```
### Describe the solution you'd like
If using aggregate via `select()` then assume no group by.
### Describe alternatives you've considered
_No response_
### Additional context
_No response_
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