Amar3tto opened a new issue, #39557:
URL: https://github.com/apache/beam/issues/39557
### What happened?
A Python pipeline fails to decode a schema produced by a Java cross-language
transform when the schema contains an `ARRAY<STRING>` option.
This was observed while exposing `DebeziumIO` through
`DebeziumReadSchemaTransformProvider`. The output schema includes the following
metadata:
```
Schema.Options.builder()
.setOption(
"primaryKeyColumns",
Schema.FieldType.array(Schema.FieldType.STRING),
primaryKeyColumns)
```
When this schema crosses the Java/Python expansion boundary and is consumed
by a schema-aware Python transform such as `MapToFields`, pipeline construction
fails with:
`ValueError: Failed to decode schema due to an issue with Field proto`
The relevant Runner API schema contains:
```
options {
name: "primaryKeyColumns"
type {
array_type {
element_type {
atomic_type: STRING
}
}
}
value {
array_value {
element {
atomic_value {
string: "id"
}
}
}
}
}
```
**Current workaround:**
Temporarily omit the `primaryKeyColumns` option from the Debezium output
schema.
### 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: Prism Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
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