HaeSe0ng opened a new issue, #27347:
URL: https://github.com/apache/beam/issues/27347
### What happened?
I tried to write 'TIMESTAMP' type with Storage Write API in Google BigQuery
I/O connector (python sdk),
but I got an error message
```
java.lang.IllegalArgumentException: Input schema is not assignable to output
schema.
Input schema=Fields:
.......
INFO 2023-07-03T09:27:24.015855Z Field{name=ts, description=,
type=LOGICAL_TYPE<beam:logical_type:micros_instant:v1>, options={{}}}
.......
, Output schema=Fields:
.......
INFO 2023-07-03T09:27:24.016054Z Field{name=ts, description=, type=DATETIME,
options={{}}}
.......
```
I looked into beam source codes and found that [input
mapping](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/typehints/schemas.py#L36)
and [output
mapping](https://github.com/apache/beam/blob/master/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtils.java#L324)
are not matched in the [schema validation
code](https://github.com/apache/beam/blob/master/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/providers/BigQueryStorageWriteApiSchemaTransformProvider.java#L414)).
I think output mapping should be `FieldType.logicalType(SqlTypes.TIMESTAMP)`.
Is there a way to avoid this error, or is `TIMESTAMP` type not supported yet?
### Issue Priority
Priority: 3 (minor)
### Issue Components
- [X] Component: Python SDK
- [ ] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [ ] Component: IO connector
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] 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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