[ 
https://issues.apache.org/jira/browse/FLINK-33743?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated FLINK-33743:
-----------------------------------
    Labels: pull-request-available  (was: )

> Support consuming multiple subpartitions on a single channel
> ------------------------------------------------------------
>
>                 Key: FLINK-33743
>                 URL: https://issues.apache.org/jira/browse/FLINK-33743
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Runtime / Network
>            Reporter: Yuxin Tan
>            Assignee: Yunfeng Zhou
>            Priority: Major
>              Labels: pull-request-available
>
> In Flink jobs that use the AdaptiveBatchScheduler and enable adaptive 
> parallelism, a downstream operator might consume multiple subpartitions from 
> an upstream operator. While downstream operators would create an InputChannel 
> for each upstream subpartition in Flink's current implementation, The many 
> InputChannels created in this situation may consume more memory resources 
> than needed, affecting the usability of Hybrid Shuffle and 
> AdaptiveBatchScheduler. In order to solve this problem, we plan to allow one 
> InputChannel to consume multiple subpartitions.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

Reply via email to