[ 
https://issues.apache.org/jira/browse/BEAM-11787?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17282669#comment-17282669
 ] 

Yifan Mai commented on BEAM-11787:
----------------------------------

Looks like there was a behavior change for Dataflow Python streaming at 
https://github.com/apache/beam/pull/13884

Before the change, when streaming was enabled, we never call 
translations.optimize_pipeline on self.proto_pipeline. After the change, when 
streaming is enabled, we never call translations.optimize_pipeline on 
self.proto_pipeline with phases=[]. Apparently this is not a no op and breaks 
streaming somehow.

> beam_PostCommit_Py_VR_Dataflow is perma red
> -------------------------------------------
>
>                 Key: BEAM-11787
>                 URL: https://issues.apache.org/jira/browse/BEAM-11787
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Chamikara Madhusanka Jayalath
>            Assignee: Yifan Mai
>            Priority: P1
>             Fix For: 2.28.0
>
>
> [https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/]
> Seems like this first started failing when following went in.
> [https://github.com/apache/beam/commit/5ea504de2eb187dca733f6087aea780dc781040d]
> [https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/7531/]
>  
> It's possible we have to build internal Dataflow worker containers.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to