mydimension opened a new issue, #35493:
URL: https://github.com/apache/beam/issues/35493
### What happened?
Beam Version: 2.62
Scala Version: 2.12
Java Version: 11
Python Version: 3.12
In a Scala pipeline, i produce `Pcollection[Row]` and pass to
`PythonExternalTransform` via something like:
```scala
pcollTuple
.apply(SqlTransform.query("..."))
.apply(PythonExternalTransform.from("my_package.MyTransform"):
PythonExternalTransform[PCollection[Row], PCollection[Row]])
```
and the subsequent python code:
```python
class MyTransform(beam.PTransform):
def expand(self, pcoll: beam.PCollection[Row]) -> beam.PCollection[Row]:
return pcoll | ...
```
I end up with the following error:
```
apache_beam.typehints.decorators.TypeCheckError: Input type hint violation
at MyTransform: expected <class 'apache_beam.pvalue.Row'>, got <class
'apache_beam.typehints.schemas.BeamSchema_6a7b1e90_8aac_43f6_8caa_aadca7856423'>
```
Alternatives I've tried to workaround the issue are:
1. Creating a `typing.NamedTuple` class to match the expected inbound
`Schema`, and changing the `pcoll` input type hint to match
2. Using `beam.row_type.RowTypeConstraint.from_fields` from
[#25749](https://github.com/apache/beam/issues/25749#issuecomment-1458971747)
Both methods gave similar errors about not being able to validate the type
hint.
### Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
### Issue Components
- [x] Component: Python SDK
- [x] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [ ] Component: IO connector
- [ ] Component: Beam YAML
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Infrastructure
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
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