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https://issues.apache.org/jira/browse/BEAM-3956?focusedWorklogId=87408&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-87408
]
ASF GitHub Bot logged work on BEAM-3956:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Apr/18 02:45
Start Date: 04/Apr/18 02:45
Worklog Time Spent: 10m
Work Description: shoyer commented on a change in pull request #4959:
[BEAM-3956] Preserve stacktraces for Python exceptions
URL: https://github.com/apache/beam/pull/4959#discussion_r179014087
##########
File path: sdks/python/apache_beam/runners/portability/fn_api_runner_test.py
##########
@@ -265,7 +265,7 @@ def test_windowing(self):
| beam.Map(lambda k_vs1: (k_vs1[0], sorted(k_vs1[1]))))
assert_that(res, equal_to([('k', [1, 2]), ('k', [100, 101, 102])]))
- def test_errors(self):
+ def test_errors_stage(self):
Review comment:
Done
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Issue Time Tracking
-------------------
Worklog Id: (was: 87408)
Time Spent: 3.5h (was: 3h 20m)
> 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: 3.5h
> 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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