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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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