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Posted to issues@beam.apache.org by "Alexey Romanenko (Jira)" <ji...@apache.org> on 2020/04/03 11:28:00 UTC

[jira] [Commented] (BEAM-8121) Messages are not distributed per machines when consuming from Kafka topic with 1 partition

    [ https://issues.apache.org/jira/browse/BEAM-8121?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17074511#comment-17074511 ] 

Alexey Romanenko commented on BEAM-8121:
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[~TauJan] Do you have any updates on this issue? Do you think we can close it?

> Messages are not distributed per machines when consuming from Kafka topic with 1 partition
> ------------------------------------------------------------------------------------------
>
>                 Key: BEAM-8121
>                 URL: https://issues.apache.org/jira/browse/BEAM-8121
>             Project: Beam
>          Issue Type: Bug
>          Components: io-java-kafka
>    Affects Versions: 2.14.0
>            Reporter: TJ
>            Priority: Major
>         Attachments: datalake-dataflow-cleaned.zip
>
>
> Messages are consumed from Kafka using KafkaIO. Each kafka topic contains only 1 partition. (That means that messages can be consumed only by one Consumer per 1 consumer group)
> When backlog of topic grows and system scales from 1 to X machines, all the messages seems to be executed on  the same machine on which they are read. Due to that message throughput doesn't increase comparing X machines to 1 machine. If one machine was reading 2K messages  per s, X machines will be reading the same amount.



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