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https://issues.apache.org/jira/browse/BEAM-12792?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17483185#comment-17483185
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Janek Bevendorff commented on BEAM-12792:
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Only if you give me a detailed rundown on how I can properly build, deploy and
test the SDK from the Beam repository. I don't really have time to sift through
tons of hard-to-find and mostly incomplete documentation. Last time I
contributed code, this got really complicated really quickly and none of the
involved Beam guys seemed to have deeper knowledge of the Python SDK, so they
couldn't help me either.
> Multiple jobs running on Flink session cluster reuse the persistent Python
> environment.
> ---------------------------------------------------------------------------------------
>
> Key: BEAM-12792
> URL: https://issues.apache.org/jira/browse/BEAM-12792
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-harness
> Affects Versions: 2.27.0, 2.28.0, 2.29.0, 2.30.0, 2.31.0
> Environment: Kubernetes 1.20 on Ubuntu 18.04.
> Reporter: Jens Wiren
> Priority: P1
> Labels: FlinkRunner, beam
>
> I'm running TFX pipelines on a Flink cluster using Beam in k8s. However,
> extra python packages passed to the Flink runner (or rather beam worker
> side-car) are only installed once per deployment cycle. Example:
> # Flink is deployed and is up and running
> # A TFX pipeline starts, submits a job to Flink along with a python whl of
> custom code and beam ops.
> # The beam worker installs the package and the pipeline finishes succesfully.
> # A new TFX pipeline is build where a new beam fn is introduced, the pipline
> is started and the new whl is submitted as in step 2).
> # This time, the new package is not being installed in the beam worker
> causing the job to fail due to a reference which does not exist in the beam
> worker, since it didn't install the new package.
>
> I started using Flink from beam version 2.27 and it has been an issue all the
> time.
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