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https://issues.apache.org/jira/browse/BEAM-3072?focusedWorklogId=229307&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-229307
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ASF GitHub Bot logged work on BEAM-3072:
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Author: ASF GitHub Bot
Created on: 17/Apr/19 19:34
Start Date: 17/Apr/19 19:34
Worklog Time Spent: 10m
Work Description: pabloem commented on issue #8337: [BEAM-3072] Use
unittest methods for setup and teardown to avoid relying on nose to do the
initialization.
URL: https://github.com/apache/beam/pull/8337#issuecomment-484230535
Thanks Valentyn! Were you able to run it with setup.py?
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Issue Time Tracking
-------------------
Worklog Id: (was: 229307)
Time Spent: 6h 20m (was: 6h 10m)
> Improve error handling at staging time time for DataflowRunner
> --------------------------------------------------------------
>
> Key: BEAM-3072
> URL: https://issues.apache.org/jira/browse/BEAM-3072
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Ahmet Altay
> Assignee: niklas Hansson
> Priority: Minor
> Labels: starter, triaged
> Time Spent: 6h 20m
> Remaining Estimate: 0h
>
> dependency.py calls out to external process to collect dependencies:
> https://github.com/apache/beam/blob/de7cc05cc67d1aa6331cddc17c2e02ed0efbe37d/sdks/python/apache_beam/runners/dataflow/internal/dependency.py#L263
> If these calls fails, the error is not clear. The error only tells what
> failed but does not show the actual error message, and is not helpful for
> users.
> As a general fix processes.py should have general better output collection
> from failed processes.
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