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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/08/26 11:50:00 UTC
[jira] [Work logged] (BEAM-10808) StreamingDataflowWorker streaming
rpcs due not always observe stream failures, until timeout
[ https://issues.apache.org/jira/browse/BEAM-10808?focusedWorklogId=474776&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-474776 ]
ASF GitHub Bot logged work on BEAM-10808:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 26/Aug/20 11:49
Start Date: 26/Aug/20 11:49
Worklog Time Spent: 10m
Work Description: scwhittle opened a new pull request #12688:
URL: https://github.com/apache/beam/pull/12688
Add options, enabled by default, to control both grpc level channel
health checks as well as application health checks for streaming rpcs
sent to streaming engine. This allows for timely detection of channel
errors which otherwise were only noticed once the rpc deadline was
reached. Also add additional debugging information to the status page
and increased control over logging.
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 474776)
Remaining Estimate: 0h
Time Spent: 10m
> StreamingDataflowWorker streaming rpcs due not always observe stream failures, until timeout
> --------------------------------------------------------------------------------------------
>
> Key: BEAM-10808
> URL: https://issues.apache.org/jira/browse/BEAM-10808
> Project: Beam
> Issue Type: Bug
> Components: runner-dataflow
> Reporter: Sam Whittle
> Assignee: Sam Whittle
> Priority: P2
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The StreamingDataflow worker communicates to Streaming Engine with grpc streaming rpcs. Occasionaly with service failures, the error is not observed by the streaming rpc until the deadline is exceeded. As the deadline is multiple minutes, this adds unnecessary latency to pipelines that are otherwise keeping up with seconds delay.
> Testing has shown that grpc channel health checks are not sufficient but that application level health checks ensure that streaming rpc health issues are detected earlier than the stream timeout.
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