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Posted to issues@beam.apache.org by "wendy liu (Jira)" <ji...@apache.org> on 2019/11/13 23:39:00 UTC
[jira] [Created] (BEAM-8657) Not doing Combiner lifting for
data-driven triggers
wendy liu created BEAM-8657:
-------------------------------
Summary: Not doing Combiner lifting for data-driven triggers
Key: BEAM-8657
URL: https://issues.apache.org/jira/browse/BEAM-8657
Project: Beam
Issue Type: Bug
Components: sdk-py-core
Reporter: wendy liu
The test below will always produce empty output, due to combiner lifting, which already combines all input values of one shard into one before grouping. To fix this, we shall not do Combiner lifting for the data-driven triggers.
l = [window.TimestampedValue(('a', 1), 1),
window.TimestampedValue(('b', 3), 3),
window.TimestampedValue(('a', 2), 2),
window.TimestampedValue(('a', 5), 5),]
result = (p
| beam.Create(l)
| Map(lambda x : x)
| 'window' >> beam.WindowInto(
FixedWindows(6),
trigger=trigger.AfterCount(2),
accumulation_mode=trigger.AccumulationMode.DISCARDING)
| beam.CombinePerKey(combine.Largest(1)))
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