kamilwu commented on pull request #11856:
URL: https://github.com/apache/beam/pull/11856#issuecomment-676510970
@lukecwik @tysonjh
Recently, once again I've started working on side input tests with windows.
Here's a part of my pipeline which I ended up with:
```python
side_input = (
self.pipeline
| 'Main input: create' >> beam.Create(range(self.windows))
| 'Main input: assign timestamps' >> beam.ParDo(AssignTimestamps())
|
'Main input: apply windows' >> beam.WindowInto(window.FixedWindows(1))
| beam.Map(
lambda _: {
'key_size': 100,
'value_size': 900,
'num_records': 10000,
'initial_splitting_num_bundles': 0,
'initial_splitting_desired_bundle_size': 0,
'sleep_per_input_record_sec': 0,
'initial_splitting': 'const'
})
| 'Read from synthetic source' >> beam.ParDo(SyntheticSDFAsSource()))
```
`self.windows` is `1000` and `AssignTimestamps` is a very simple DoFn that
assigns timestamps to elements:
```python
class AssignTimestamps(beam.DoFn):
def __init__(self):
# Avoid having to use save_main_session
self.window = window
def process(self, element):
yield self.window.TimestampedValue(element, element)
```
This doesn't work on Dataflow (although it works perfectly fine when using
Direct runner). Here's an error message:
```
File
"/usr/local/lib/python3.7/site-packages/apache_beam/io/restriction_trackers.py",
line 91, in __init__ assert isinstance(offset_range, OffsetRange)
RuntimeError: AssertionError [while running 'Read from synthetic source']
```
I did some debugging and discovered that `offset_range` is None in this
context.
Does SDF properly support windowed side inputs on Dataflow? If not, do you
know an other way to write tests for side inputs involving windows? Let me know
if you need more information. Thanks.
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