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https://issues.apache.org/jira/browse/BEAM-10308?focusedWorklogId=457339&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-457339
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ASF GitHub Bot logged work on BEAM-10308:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 10/Jul/20 20:05
Start Date: 10/Jul/20 20:05
Worklog Time Spent: 10m
Work Description: robertwb commented on pull request #12196:
URL: https://github.com/apache/beam/pull/12196#issuecomment-656866592
xlang is new on Dataflow, but has been supported in Flink, Spark, etc. for
over a year now, so I wouldn't call it a "new" feature. I have high confidence
that this would not introduce new issues. That being said, this is your call as
the release manager.
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Issue Time Tracking
-------------------
Worklog Id: (was: 457339)
Time Spent: 5h 50m (was: 5h 40m)
> Component id assignement is not consistent across PipelineContext instances
> ---------------------------------------------------------------------------
>
> Key: BEAM-10308
> URL: https://issues.apache.org/jira/browse/BEAM-10308
> Project: Beam
> Issue Type: Bug
> Components: cross-language, sdk-py-core
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P1
> Fix For: 2.24.0
>
> Time Spent: 5h 50m
> Remaining Estimate: 0h
>
> The "unique ref" ids used in PipelineContext are generated on the fly, which
> can cause us to get a different id for the same component in different
> contexts.
> This becomes a problem when ExternalTransform is used, because it creates its
> own pipeline context for expansion. So its possible the component ids in the
> expansion request will actually refer to an entirely different component when
> the pipeline is finally assembled for execution.
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