[jira] [Work logged] (BEAM-3956) Stacktraces from exceptions in user code should be preserved in the Python SDK

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-3956?focusedWorklogId=85075&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-85075 ]

ASF GitHub Bot logged work on BEAM-3956:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 27/Mar/18 23:23
            Start Date: 27/Mar/18 23:23
    Worklog Time Spent: 10m 
      Work Description: shoyer opened a new pull request #4959: [BEAM-3956] Preserve stacktraces for Python exceptions
URL: https://github.com/apache/beam/pull/4959
 
 
   This fixes the lost stack-trace problem.
   
   ------------------------
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 85075)
            Time Spent: 10m
    Remaining Estimate: 0h

> Stacktraces from exceptions in user code should be preserved in the Python SDK
> ------------------------------------------------------------------------------
>
>                 Key: BEAM-3956
>                 URL: https://issues.apache.org/jira/browse/BEAM-3956
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Stephan Hoyer
>            Priority: Major
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Currently, Beam's Python SDK loses stacktraces for exceptions. It does helpfully add a tag like "[while running StageA]" to exception error messages, but that doesn't include the stacktrace of Python functions being called.
> Including the full stacktraces would make a big difference for the ease of debugging Beam pipelines when things go wrong.



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