BjornPrime opened a new issue, #24682:
URL: https://github.com/apache/beam/issues/24682
### What happened?
In the course of debugging another issue on Dataflow Runner, it was noticed
that the Combine stage of the below pipeline only triggered on pipeline
draining. The windows seemed to begin and end correctly, that is, they each
contained four sequential elements, but they were not processed through the
Combine stage until draining began.
The pipeline in question:
```
import logging
import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.transforms import trigger
from apache_beam.transforms import window
from apache_beam.transforms.periodicsequence import PeriodicImpulse
import time
def run(argv=None):
options = PipelineOptions()
pipeline = beam.Pipeline(options=options)
_ = (
pipeline
| PeriodicImpulse(
start_timestamp=time.time(),
stop_timestamp=time.time() + 15,
fire_interval=1,
apply_windowing=False)
| beam.WindowInto(
window.GlobalWindows(),
trigger=trigger.Repeatedly(trigger.AfterCount(4)),
accumulation_mode=trigger.AccumulationMode.DISCARDING)
| beam.combiners.Top.Largest(1)
| beam.ParDo(lambda x: logging.error('element: %s', x))
)
pipeline.run().wait_until_finish()
if __name__ == '__main__':
logging.getLogger().setLevel(logging.INFO)
run()
```
### 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
- [ ] Component: IO connector
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
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- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [X] Component: Google Cloud Dataflow Runner
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