atheendre130505 opened a new issue, #37577:
URL: https://github.com/apache/beam/issues/37577
### What happened?
What happened? Description: The Create transform in Beam YAML crashes with
an AttributeError when the input elements list contains a mix of primitive
types (int, str) and dictionary mappings.
YamlProviders.create wraps primitives in a Row with a field named element,
but it converts dictionaries into Row objects using the dict keys. Because
Beam's
Create transform infers the PCollection schema from the very first element,
any subsequent element with a different structure causing a serialization crash
because the coder cannot find the expected attributes.
Beam Version: 2.61.0 (Python SDK)
python
```
from apache_beam.yaml.yaml_provider import YamlProviders
import apache_beam as beam
with beam.Pipeline() as p:
# A mix of a primitive (Row(element=1)) and a dict (Row(a=2))
p | YamlProviders.create([1, {"a": 2}])
```
Resulting Error: AttributeError: 'Row' object has no attribute 'element'
The pipeline fails immediately upon start-up or during construction, rather
than unifying the elements into a consistent schema or providing a diagnostic
error message.
### Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
### Issue Components
- [x] Component: Python SDK
- [ ] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [ ] Component: IO connector
- [x] 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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