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https://issues.apache.org/jira/browse/BEAM-1801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ahmet Altay reassigned BEAM-1801:
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Assignee: Pablo Estrada (was: Ahmet Altay)
> default_job_name can generate names not accepted by DataFlow
> ------------------------------------------------------------
>
> Key: BEAM-1801
> URL: https://issues.apache.org/jira/browse/BEAM-1801
> Project: Beam
> Issue Type: Bug
> Components: sdk-py
> Reporter: Dennis Docter
> Assignee: Pablo Estrada
> Priority: Trivial
>
> The default job name generated by:
> https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/dataflow/internal/apiclient.py#L288
> is partially derived from the os username of the executing user. These may
> contain characters not accepted by Dataflow, resulting in errors like:
> apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException:
> Dataflow pipeline failed. State: FAILED, Error:
> (a1b878f3562c0e6d): Error processing pipeline. Causes: (a1b878f3562c04ae):
> Prefix for cluster 'beamapp-dennis.docter-032-03231324-1edc-harness' should
> match '[a-z]([-a-z0-9]{0,61}[a-z0-9])?'. This probably means the joblabel is
> invalid.
> To solve this issue, sanitise the username to only container alphanumeric
> characters and dashes.
> Also there seems to be no length restriction and dataflow imposes a 63
> character length limit in the above case. Limiting on length substantially
> shorter than that to allow for postfixes (like -harness in this case) may be
> wise.
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