robertwb opened a new issue, #28162:
URL: https://github.com/apache/beam/issues/28162
### What happened?
For example, I would expect the following to work:
```
import apache_beam as beam
with beam.Pipeline(options=PipelineOptions([
'--project=apache-beam-testing',
'--temp_location=gs://temp-storage-for-end-to-end-tests/temp-it',
'--region=us-central1',
])) as p:
pcoll = p | beam.io.ReadFromBigQuery(
table='apache-beam-testing:beam_bigquery_io_test.taxi_small',
output_type='BEAM_ROW')
pcoll | beam.io.WriteToBigQuery(
'apache-beam-testing:beam_bigquery_io_test.test_2023_08_11',
temp_file_format='AVRO')
```
The schema can be automatically inferred with
`schema_from_element_type(pcoll.element_type)` (and perhaps in this case we
should default to the superior avro format automatically).
### 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
- [X] 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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