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https://issues.apache.org/jira/browse/FLINK-24947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17488631#comment-17488631
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Yuan Huang commented on FLINK-24947:
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Thank you for your reply. Yes, I think so. And I believe even though Flink uses
the head service, the TaskManager also can not be reused if Task managers do
not want to query the service for the "jobmanager-rpc" port because the port
number is not fixed.
I can imagine two reasons why the TaskManager does not want to access the
service:
# Involving Kube-client in all TaskManagers will put too much pressure on the
Kubernetes API server.
# In non-HA mode, the StandaloneHaService saves a fixed job manager address
(IP and port) at the beginning. It is not natural to change the address when
the TaskManagers lose connection to the JobManager.
Am I understanding correctly?
> Support host network for native K8s integration
> -----------------------------------------------
>
> Key: FLINK-24947
> URL: https://issues.apache.org/jira/browse/FLINK-24947
> Project: Flink
> Issue Type: New Feature
> Components: Deployment / Kubernetes
> Reporter: liuzhuo
> Assignee: liuzhuo
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.15.0
>
>
> For the use of flink on k8s, for performance considerations, it is important
> to choose a CNI plug-in. Usually we have two environments: Managed and
> UnManaged.
> Managed: Cloud vendors usually provide very efficient CNI plug-ins, we
> don’t need to care about network performance issues
> UnManaged: On self-built K8s clusters, CNI plug-ins are usually optional,
> similar to Flannel and Calcico, but such software network cards usually lose
> some performance or require some additional network strategies.
> For an unmanaged environment, if we also want to achieve the best network
> performance, should we support the *HostNetWork* model?
> Use the host network to achieve the best performance
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