liferoad commented on issue #29622:
URL: https://github.com/apache/beam/issues/29622#issuecomment-3000724219
This can trigger this error as well:
```
import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
import datetime
import pytz
def create_data():
return [
{
"str": "hello",
"ts": datetime.datetime(1970, 1, 1, tzinfo=pytz.utc)
},
{
"str": 999999999999999999999999,
"ts": datetime.datetime(1970, 1, 1, tzinfo=pytz.utc)
}
]
def run():
options = PipelineOptions(
project='cts10-kumarreddyg',
region='us-central1',
temp_location='gs://naveen123/temp',
runner='DataflowRunner',
service_account_email='id-20207358358-compute-dev-...@cts10-kumarreddyg.iam.gserviceaccount.com'
)
with beam.Pipeline(options=options) as p:
(
p
| 'CreateData' >> beam.Create(create_data())
| 'WriteToBigQuery' >> beam.io.WriteToBigQuery(
table='cts10-kumarreddyg.naveen.testerror',
schema='str:STRING,ts:TIMESTAMP',
method='STREAMING_INSERTS',
create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED,
write_disposition=beam.io.BigQueryDisposition.WRITE_APPEND
)
)
if __name__ == '__main__':
run()
#"str": str(999999999999999999999999)
```
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