[jira] [Updated] (FLINK-31757) Optimize Flink un-balanced tasks scheduling
[ https://issues.apache.org/jira/browse/FLINK-31757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] RocMarshal updated FLINK-31757: --- Labels: pull-request-available (was: pull-request-available stale-assigned) > Optimize Flink un-balanced tasks scheduling > --- > > Key: FLINK-31757 > URL: https://issues.apache.org/jira/browse/FLINK-31757 > Project: Flink > Issue Type: Improvement > Components: Runtime / Coordination >Reporter: RocMarshal >Assignee: RocMarshal >Priority: Major > Labels: pull-request-available > Attachments: image-2023-04-13-08-04-04-667.png > > > Supposed we have a Job with 21 {{JobVertex}}. The parallelism of vertex A is > 100, and the others are 5. If each {{TaskManager}} only have one slot, then > we need 100 TMs. > There will be 5 slots with 21 sub-tasks, and the others will only have one > sub-task of A. Does this mean we have to make a trade-off between wasted > resources and insufficient resources? > From a resource utilization point of view, we expect all subtasks to be > evenly distributed on each TM. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (FLINK-31757) Optimize Flink un-balanced tasks scheduling
[ https://issues.apache.org/jira/browse/FLINK-31757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-31757: --- Labels: pull-request-available stale-assigned (was: pull-request-available) I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help the community manage its development. I see this issue is assigned but has not received an update in 30 days, so it has been labeled "stale-assigned". If you are still working on the issue, please remove the label and add a comment updating the community on your progress. If this issue is waiting on feedback, please consider this a reminder to the committer/reviewer. Flink is a very active project, and so we appreciate your patience. If you are no longer working on the issue, please unassign yourself so someone else may work on it. > Optimize Flink un-balanced tasks scheduling > --- > > Key: FLINK-31757 > URL: https://issues.apache.org/jira/browse/FLINK-31757 > Project: Flink > Issue Type: Improvement > Components: Runtime / Coordination >Reporter: RocMarshal >Assignee: RocMarshal >Priority: Major > Labels: pull-request-available, stale-assigned > Attachments: image-2023-04-13-08-04-04-667.png > > > Supposed we have a Job with 21 {{JobVertex}}. The parallelism of vertex A is > 100, and the others are 5. If each {{TaskManager}} only have one slot, then > we need 100 TMs. > There will be 5 slots with 21 sub-tasks, and the others will only have one > sub-task of A. Does this mean we have to make a trade-off between wasted > resources and insufficient resources? > From a resource utilization point of view, we expect all subtasks to be > evenly distributed on each TM. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (FLINK-31757) Optimize Flink un-balanced tasks scheduling
[ https://issues.apache.org/jira/browse/FLINK-31757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated FLINK-31757: --- Labels: pull-request-available (was: ) > Optimize Flink un-balanced tasks scheduling > --- > > Key: FLINK-31757 > URL: https://issues.apache.org/jira/browse/FLINK-31757 > Project: Flink > Issue Type: Improvement > Components: Runtime / Coordination >Reporter: RocMarshal >Assignee: RocMarshal >Priority: Major > Labels: pull-request-available > Attachments: image-2023-04-13-08-04-04-667.png > > > Supposed we have a Job with 21 {{JobVertex}}. The parallelism of vertex A is > 100, and the others are 5. If each {{TaskManager}} only have one slot, then > we need 100 TMs. > There will be 5 slots with 21 sub-tasks, and the others will only have one > sub-task of A. Does this mean we have to make a trade-off between wasted > resources and insufficient resources? > From a resource utilization point of view, we expect all subtasks to be > evenly distributed on each TM. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (FLINK-31757) Optimize Flink un-balanced tasks scheduling
[ https://issues.apache.org/jira/browse/FLINK-31757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Piotr Nowojski updated FLINK-31757: --- Component/s: Runtime / Coordination (was: Runtime / Task) > Optimize Flink un-balanced tasks scheduling > --- > > Key: FLINK-31757 > URL: https://issues.apache.org/jira/browse/FLINK-31757 > Project: Flink > Issue Type: Improvement > Components: Runtime / Coordination >Reporter: RocMarshal >Assignee: RocMarshal >Priority: Major > > Supposed we have a Job with 21 {{JobVertex}}. The parallelism of vertex A is > 100, and the others are 5. If each {{TaskManager}} only have one slot, then > we need 100 TMs. > There will be 5 slots with 21 sub-tasks, and the others will only have one > sub-task of A. Does this mean we have to make a trade-off between wasted > resources and insufficient resources? > From a resource utilization point of view, we expect all subtasks to be > evenly distributed on each TM. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (FLINK-31757) Optimize Flink un-balanced tasks scheduling
[ https://issues.apache.org/jira/browse/FLINK-31757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weijie Guo updated FLINK-31757: --- Description: Supposed we have a Job with 21 {{JobVertex}}. The parallelism of vertex A is 100, and the others are 5. If each {{TaskManager}} only have one slot, then we need 100 TMs. There will be 5 slots with 21 sub-tasks, and the others will only have one sub-task of A. Does this mean we have to make a trade-off between wasted resources and insufficient resources? >From a resource utilization point of view, we expect all subtasks to be evenly >distributed on each TM. > Optimize Flink un-balanced tasks scheduling > --- > > Key: FLINK-31757 > URL: https://issues.apache.org/jira/browse/FLINK-31757 > Project: Flink > Issue Type: Improvement > Components: Runtime / Task >Reporter: RocMarshal >Assignee: RocMarshal >Priority: Major > > Supposed we have a Job with 21 {{JobVertex}}. The parallelism of vertex A is > 100, and the others are 5. If each {{TaskManager}} only have one slot, then > we need 100 TMs. > There will be 5 slots with 21 sub-tasks, and the others will only have one > sub-task of A. Does this mean we have to make a trade-off between wasted > resources and insufficient resources? > From a resource utilization point of view, we expect all subtasks to be > evenly distributed on each TM. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (FLINK-31757) Optimize Flink un-balanced tasks scheduling
[ https://issues.apache.org/jira/browse/FLINK-31757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] RocMarshal updated FLINK-31757: --- Summary: Optimize Flink un-balanced tasks scheduling (was: Optimize Flink tasks un-balanced scheduling) > Optimize Flink un-balanced tasks scheduling > --- > > Key: FLINK-31757 > URL: https://issues.apache.org/jira/browse/FLINK-31757 > Project: Flink > Issue Type: Improvement > Components: Runtime / Task >Reporter: RocMarshal >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010)