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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2019/11/14 01:32:00 UTC
[jira] [Work logged] (BEAM-8657) Not doing Combiner lifting for
data-driven triggers
[ https://issues.apache.org/jira/browse/BEAM-8657?focusedWorklogId=343061&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-343061 ]
ASF GitHub Bot logged work on BEAM-8657:
----------------------------------------
Author: ASF GitHub Bot
Created on: 14/Nov/19 01:31
Start Date: 14/Nov/19 01:31
Worklog Time Spent: 10m
Work Description: robertwb commented on pull request #10098: [BEAM-8657] Avoid lifting combiners for incompatible triggers.
URL: https://github.com/apache/beam/pull/10098
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Issue Time Tracking
-------------------
Worklog Id: (was: 343061)
Remaining Estimate: 0h
Time Spent: 10m
> 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
> Assignee: Robert Bradshaw
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> 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 | 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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