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https://issues.apache.org/jira/browse/BEAM-7912?focusedWorklogId=290679&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-290679
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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 18:30
Start Date: 07/Aug/19 18:30
Worklog Time Spent: 10m
Work Description: lukecwik commented on issue #9280: [BEAM-7912] Optimize
GroupIntoBatches for batch Dataflow pipelines.
URL: https://github.com/apache/beam/pull/9280#issuecomment-519216916
> I'm wondering whether we want to do the overrides by default for dataflow
batch. Is it possible that a batch pipeline applies window?
The override is currently setup to be the default for all batch Dataflow
jobs irregardless of the windowing strategy. We can't make this the default for
all runners since a runner may execute in a way where it produces multiple
panes across multiple bundles for a batch pipeline (we could do this
optimization if we knew the windowing strategy had at most one firing per key
and window).
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Issue Time Tracking
-------------------
Worklog Id: (was: 290679)
Time Spent: 1h 40m (was: 1.5h)
> 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: 1h 40m
> 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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