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https://issues.apache.org/jira/browse/SPARK-24248?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16474774#comment-16474774
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Anirudh Ramanathan commented on SPARK-24248:
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Somewhat related - https://issues.apache.org/jira/browse/SPARK-24266
As I understood it, there were a few in-memory data structures, but I agree
with the general notion that in case there is a disconnect with the API, the
driver should be resilient enough to recompute state and proceed. that should
be the end goal here IMO.
> [K8S] Use the Kubernetes cluster as the backing store for the state of pods
> ---------------------------------------------------------------------------
>
> Key: SPARK-24248
> URL: https://issues.apache.org/jira/browse/SPARK-24248
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes
> Affects Versions: 2.3.0
> Reporter: Matt Cheah
> Priority: Major
>
> We have a number of places in KubernetesClusterSchedulerBackend right now
> that maintains the state of pods in memory. However, the Kubernetes API can
> always give us the most up to date and correct view of what our executors are
> doing. We should consider moving away from in-memory state as much as can in
> favor of using the Kubernetes cluster as the source of truth for pod status.
> Maintaining less state in memory makes it so that there's a lower chance that
> we accidentally miss updating one of these data structures and breaking the
> lifecycle of executors.
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