jorgecarleitao opened a new pull request #8032:
URL: https://github.com/apache/arrow/pull/8032
See associated issue and document for details.
The gist is that currently, users call UDFs through
```
df.select(scalar_functions(“sqrt”, vec![col(“a”)], DataType::Float64))
```
and this PR proposes a change to
```
let functions = df.registry()?;
df.select(functions.udf(“sqrt”, vec![col(“a”)])?)
```
so that they do not have to remember the UDFs return type when using it (and
a whole lot other things for us internally). The `df` part is still not
implemented. Currently it only works with `ctx.registry()?`.
This PR is waiting for some changes in the `ExecutionContext`, for it to be
easier to be integrated.
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