[
https://issues.apache.org/jira/browse/IGNITE-22403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17852832#comment-17852832
]
Maksim Davydov edited comment on IGNITE-22403 at 7/8/24 1:47 PM:
-----------------------------------------------------------------
https://ci2.ignite.apache.org/buildConfiguration/IgniteExtensions_Tests_Cdc/7955206?hideTestsFromDependencies=false&hideProblemsFromDependencies=false&expandBuildDeploymentsSection=false&expandBuildChangesSection=true
was (Author: JIRAUSER305006):
https://ci2.ignite.apache.org/buildConfiguration/IgniteExtensions_Tests_Cdc/7902745?buildTab=overview&hideTestsFromDependencies=false&hideProblemsFromDependencies=false&expandBuildChangesSection=true&expandBuildDeploymentsSection=false
> CDC: Improve Kafka partition ranges assignment for appliers
> -----------------------------------------------------------
>
> Key: IGNITE-22403
> URL: https://issues.apache.org/jira/browse/IGNITE-22403
> Project: Ignite
> Issue Type: Improvement
> Components: extensions
> Reporter: Maksim Davydov
> Assignee: Maksim Davydov
> Priority: Major
> Labels: IEP-59, ise
>
> Distribution for partitions from kafka topic over requested threads in
> AbstractKafkaToIgniteCdcStreamer (CDC Kafka to Ignite) is not uniform.
> There might be cases with unequal load on threads, that reads data from
> kafka, which might result in overhead/bottleneck and slow workflow in general
> for the whole CDC with Kafka process.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
