damccorm opened a new issue, #32113:
URL: https://github.com/apache/beam/issues/32113
### What happened?
I tried running a few different pipelines using ios based on filebasedsink.
They all failed on Dataflow and/or locally with various errors when the
`--streaming` flag is used. Adding a few here:
Writing to parquet:
```
with beam.Pipeline(options=beam_options) as pipeline:
elements = pipeline | "Create elements" >> beam.Create(["Hello",
"World!"])
import pyarrow
elements | output | beam.io.WriteToParquet(
"gs://path",
schema=pyarrow.schema(
[("name", pyarrow.binary()), ("age", pyarrow.int64())]
),
)
```
Writing to textio:
```
with beam.Pipeline(options=beam_options) as pipeline:
elements = pipeline | "Create elements" >> beam.Create(["Hello",
"World!"])
elements | beam.io.WriteToText("./test")
```
This works locally, but fails on Dataflow before launch (unclear if it is
the fault of transform or some translation layer, seems like it comes from this
particular AsSingleton call -
https://github.com/apache/beam/blob/18849de0cc4e6aff82af6ed897fa7baec9deb084/sdks/python/apache_beam/io/iobase.py#L1170
Writing to textio with periodic impulse source gives a different error:
```
with beam.Pipeline(options=beam_options) as pipeline:
elements = pipeline | "Create elements" >> PeriodicImpulse() |
'ApplyWindowing' >> beam.WindowInto(
beam.transforms.window.FixedWindows(20))
elements | beam.io.WriteToText("./test")
```
```
ValueError: GroupByKey cannot be applied to an unbounded PCollection with
global windowing and a default trigger
```
This isn't correct since this is clearly windowed before the write.
### Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
### Issue Components
- [X] Component: Python SDK
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- [ ] Component: IO connector
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- [ ] Component: Hazelcast Jet Runner
- [X] Component: Google Cloud Dataflow Runner
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