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https://issues.apache.org/jira/browse/BEAM-5633?focusedWorklogId=152407&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-152407
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ASF GitHub Bot logged work on BEAM-5633:
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Author: ASF GitHub Bot
Created on: 08/Oct/18 21:14
Start Date: 08/Oct/18 21:14
Worklog Time Spent: 10m
Work Description: mwylde commented on issue #6593: [BEAM-5633] Adds
reconnect logic to python logging client
URL: https://github.com/apache/beam/pull/6593#issuecomment-427981382
I've updated with the review comments and fixed lint failures. There's an
open question about what the behavior should be when the logging connection is
down (e.g., when we're in the process of reconnecting). We can queue up some
number of logs, but past that point should we block execution or drop logs?
Currently this PR queues up to 1,000 logs and drops past that point. The
queue size is semi-arbitrary, but to me it makes sense to prioritize pipeline
execution over capturing 100% of logs. Would be interested in hearing other
opinions on this, though.
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Issue Time Tracking
-------------------
Worklog Id: (was: 152407)
Time Spent: 1.5h (was: 1h 20m)
> Python SDK harness logging client failure
> -----------------------------------------
>
> Key: BEAM-5633
> URL: https://issues.apache.org/jira/browse/BEAM-5633
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-harness
> Reporter: Thomas Weise
> Assignee: Micah Wylde
> Priority: Major
> Labels: portability-flink
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> After running a test with synthetic source for a few minutes, the logging
> client fails and all subsequent log output is not forwarded to the runner.
>
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