Github user koertkuipers commented on the issue:
https://github.com/apache/spark/pull/13512
for example with this branch you can do:
```
val df3 = Seq(("a", "x", 1), ("a", "y", 3), ("b", "x", 3)).toDF("i", "j",
"k")
df3.groupBy("i").agg(
ComplexResultAgg.apply("i", "k"),
SumAgg.apply("j"),
AverageAgg.apply("j")
)
````
so these are multiple Aggregators applied in an untyped groupBy, each on
selected columns.
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