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https://issues.apache.org/jira/browse/SPARK-23485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16373620#comment-16373620
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Yinan Li commented on SPARK-23485:
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The Kubernetes scheduler backend simply creates executor pods through the 
Kubernetes API server, and the pods are scheduled by the Kubernetes scheduler 
to run on the available nodes. The scheduler backendĀ is not interested nor it 
should know about the mapping from pods to nodes. Affinity and anti-affinity, 
or taint and toleration can be used to influence pod scheduling. But it's the 
Kubernetes scheduler and Kubelets' responsibilities to keep track of node 
problems and avoid scheduling pods onto problematic nodes.

> Kubernetes should support node blacklist
> ----------------------------------------
>
>                 Key: SPARK-23485
>                 URL: https://issues.apache.org/jira/browse/SPARK-23485
>             Project: Spark
>          Issue Type: New Feature
>          Components: Kubernetes, Scheduler
>    Affects Versions: 2.3.0
>            Reporter: Imran Rashid
>            Priority: Major
>
> Spark's BlacklistTracker maintains a list of "bad nodes" which it will not 
> use for running tasks (eg., because of bad hardware).  When running in yarn, 
> this blacklist is used to avoid ever allocating resources on blacklisted 
> nodes: 
> https://github.com/apache/spark/blob/e836c27ce011ca9aef822bef6320b4a7059ec343/resource-managers/yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnSchedulerBackend.scala#L128
> I'm just beginning to poke around the kubernetes code, so apologies if this 
> is incorrect -- but I didn't see any references to 
> {{scheduler.nodeBlacklist()}} in {{KubernetesClusterSchedulerBackend}} so it 
> seems this is missing.  Thought of this while looking at SPARK-19755, a 
> similar issue on mesos.



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