Sonins commented on issue #20632:
URL: https://github.com/apache/beam/issues/20632#issuecomment-1248533832
So if you're having same trouble and want to bypass it, insert
`beam.WindowInto(beam.window.GlobalWindows())` somewhere between
`beam.WindowInto(beam.window.FixedWindows())` and `beam.io.WriteToBigQuery()`
For example, for test code I wrote above..
``` python
class DataflowRunnerTest(unittest.TestCase, ExtraAssertionsMixin):
...
def test_bigquery_dead_letter(self):
runner = DataflowRunner()
self.default_properties.append("--streaming")
with beam.Pipeline(runner=runner,
options=PipelineOptions(self.default_properties)) as p:
(
p
| beam.io.ReadFromPubSub(topic='projects/project/topics/topic')
| beam.WindowInto(beam.window.FixedWindows(2))
| beam.GroupBy(lambda x: x.attributes['table'])
| "global window" >> beam.WindowInto(beam.window.GlobalWindows()) #
Insert this!
# | beam.FlatMap(lambda x: x) # I think you can't use FlatMap on
globalwindowed value
| beam.Map(lambda x: x)
| beam.io.WriteToBigQuery('some.table')
)
```
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