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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/12/20 15:05:00 UTC
[jira] [Work logged] (BEAM-13443) Poor handling of aggregated records in KinesisIO.read
[ https://issues.apache.org/jira/browse/BEAM-13443?focusedWorklogId=698747&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-698747 ]
ASF GitHub Bot logged work on BEAM-13443:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 20/Dec/21 15:04
Start Date: 20/Dec/21 15:04
Worklog Time Spent: 10m
Work Description: mosche opened a new pull request #16286:
URL: https://github.com/apache/beam/pull/16286
Using `put` on bounded blocking queues is a rather bad practice as it blocks for an unlimited period of time if the capacity is exhausted. Especially when using KPL aggregated records this can easily happen. As a results threads need to be interrupted when forcefully shutting down the reader pool.
This seems to mostly be an issue when using the direct runner as it frequently closes the reader.
------------------------
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`ValidatesRunner` compliance status (on master branch)
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Examples testing status on various runners
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Post-Commit SDK/Transform Integration Tests Status (on master branch)
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</table>
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Issue Time Tracking
-------------------
Worklog Id: (was: 698747)
Remaining Estimate: 0h
Time Spent: 10m
> Poor handling of aggregated records in KinesisIO.read
> -----------------------------------------------------
>
> Key: BEAM-13443
> URL: https://issues.apache.org/jira/browse/BEAM-13443
> Project: Beam
> Issue Type: Bug
> Components: io-java-aws
> Reporter: Moritz Mack
> Assignee: Moritz Mack
> Priority: P2
> Labels: aws, aws-sdk-v1, aws-sdk-v2, performance
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The way the Kinesis source is implemented it doesn't play well with aggregated records.
> Even using configuration options it's fairly hard to configure it in a way that becomes sufficiently performant.
> One of the key issues is around bundle size & record queue size vs the number of aggregated records per message. These might, in certain situations, exceed the internal queue size by far unnecessarily blocking threads and requiring thread pools to be forcefully taken down.
>
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