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Posted to jira@kafka.apache.org by "Pradeep Bansal (Jira)" <ji...@apache.org> on 2019/10/18 05:10:00 UTC

[jira] [Updated] (KAFKA-9063) KAfka throughput performance drops with number of topics even when producer is producing on one topic

     [ https://issues.apache.org/jira/browse/KAFKA-9063?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Pradeep Bansal updated KAFKA-9063:
----------------------------------
    Summary: KAfka throughput performance drops with number of topics even when producer is producing on one topic  (was: KAfka producer performance drops with number of topics even when producer is producing on one topic)

> KAfka throughput performance drops with number of topics even when producer is producing on one topic
> -----------------------------------------------------------------------------------------------------
>
>                 Key: KAFKA-9063
>                 URL: https://issues.apache.org/jira/browse/KAFKA-9063
>             Project: Kafka
>          Issue Type: Improvement
>    Affects Versions: 2.2.1
>            Reporter: Pradeep Bansal
>            Priority: Major
>         Attachments: image-2019-10-18-10-22-40-372.png
>
>
> 5 broker cluster
> Topic partitions  =  1
> Replication factor = 3
> Ac mode = all
> Send type = Asynchronous
> Message size  =  100 bytes
> Log compaction  =  Enabled
>  # We started throughput test with 1 topic and number of topics present in cluster at that time were 1 (excluding already existing topics 1000)
>  # We left it to run for about 2 hours (The mean throughput we observed during this period was 54k msgs/sec)
>  # After this, we started creating 10,000 topics one by one using a script
>  # We noted throughput values after creating 100 topics and after 200,300,400…so on till 10,000 were created
>  # After all 10,000 topics were created we left test to run for another 1 hr.
>  During the entire duration, we were producing only on a single topic.
>  
> What could be causing performance drop 
> !image-2019-10-18-10-22-40-372.png!



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