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https://issues.apache.org/jira/browse/BEAM-7912?focusedWorklogId=290636&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-290636
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ASF GitHub Bot logged work on BEAM-7912:
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Author: ASF GitHub Bot
Created on: 07/Aug/19 17:59
Start Date: 07/Aug/19 17:59
Worklog Time Spent: 10m
Work Description: aaltay commented on issue #9280: [BEAM-7912] Optimize
GroupIntoBatches for batch Dataflow pipelines.
URL: https://github.com/apache/beam/pull/9280#issuecomment-519205745
The same optimization could be applied to python as well.
(https://github.com/apache/beam/blob/bc2c6ff5d4a464a4103db4f9835bac2e42258771/sdks/python/apache_beam/transforms/util.py#L690).
You can keep the JIRA open after this change for that.
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Issue Time Tracking
-------------------
Worklog Id: (was: 290636)
Time Spent: 1.5h (was: 1h 20m)
> Optimize GroupIntoBatches for batch Dataflow pipelines
> ------------------------------------------------------
>
> Key: BEAM-7912
> URL: https://issues.apache.org/jira/browse/BEAM-7912
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow
> Reporter: Luke Cwik
> Assignee: Luke Cwik
> Priority: Minor
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> The GroupIntoBatches transform can be significantly optimized on Dataflow
> since it always ensures that a key K appears in only one bundle after a
> GroupByKey. This removes the usage of state and timers in the generic
> GroupIntoBatches transform.
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