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https://issues.apache.org/jira/browse/BEAM-10670?focusedWorklogId=493712&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-493712
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ASF GitHub Bot logged work on BEAM-10670:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 01/Oct/20 22:07
Start Date: 01/Oct/20 22:07
Worklog Time Spent: 10m
Work Description: lukecwik commented on pull request #12603:
URL: https://github.com/apache/beam/pull/12603#issuecomment-702422811
@iemejia Since streaming is effectively broken due to lack of support for
watermark holds. What do you think about enabling SDF for Spark and it only
working in batch?
I'll see what I can do about watermark holds but decoupling the two would be
convenient.
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Issue Time Tracking
-------------------
Worklog Id: (was: 493712)
Time Spent: 19h 50m (was: 19h 40m)
> Make non-portable Splittable DoFn the only option when executing Java "Read"
> transforms
> ---------------------------------------------------------------------------------------
>
> Key: BEAM-10670
> URL: https://issues.apache.org/jira/browse/BEAM-10670
> Project: Beam
> Issue Type: Improvement
> Components: sdk-java-core
> Reporter: Luke Cwik
> Assignee: Luke Cwik
> Priority: P2
> Time Spent: 19h 50m
> Remaining Estimate: 0h
>
> All runners seem to be capable of migrating to splittable DoFn for
> non-portable execution except for Dataflow runner v1 which will internalize
> the current primitive read implementation that is shared across runner
> implementations.
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