jorgecarleitao commented on issue #600:
URL:
https://github.com/apache/arrow-datafusion/issues/600#issuecomment-866233559
When I implemented todays' aggs, I Initially though about multiple return
values, and then concluded that the Struct is sufficient and desirable. What I
like about the struct is that it enables named fields, which imo makes the
statements rather expressive. E.g.
```
df = df.agg(udaf.call("a").alias("a"))
df.select(df["a"]["min"], df["a"]["max"])
```
vs
```
df = df.agg(udaf.call("a").alias("a"))
df.select(df["a"][0], df["a"][1])
```
the context "min" and "max" imo helps the user at reading what they are
extracting from the column.
Would supporting structs for ScalarValues solve this nicely?
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