huskysun opened a new pull request #29924:
URL: https://github.com/apache/spark/pull/29924
Handle executor failure with multiple containers
Added a spark property spark.kubernetes.executor.checkAllContainers,
with default being false. When it's true, the executor snapshot will
take all containers in the executor into consideration when deciding
whether the executor is in "Running" state, if the pod restart policy is
"Never". Also, added the new spark property to the doc.
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### What changes were proposed in this pull request?
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Checking of all containers in the executor pod when reporting executor
status, if the `spark.kubernetes.executor.checkAllContainers` property is set
to true.
### Why are the changes needed?
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Currently, a pod remains "running" as long as there is at least one running
container. This prevents Spark from noticing when a container has failed in an
executor pod with multiple containers. With this change, user can configure the
behavior to be different. Namely, if any container in the executor pod has
failed, either the executor process or one of its sidecars, the pod is
considered to be failed, and it will be rescheduled.
### Does this PR introduce _any_ user-facing change?
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Yes, new spark property added.
User is now able to choose whether to turn on this feature using the
`spark.kubernetes.executor.checkAllContainers` property.
### How was this patch tested?
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Unit test was added and all passed.
I tried to run integration test by following the instruction
[here](https://spark.apache.org/developer-tools.html) (section "Testing K8S")
and also
[here](https://github.com/apache/spark/blob/master/resource-managers/kubernetes/integration-tests/README.md),
but I wasn't able to run it smoothly as it fails to talk with minikube
cluster. Maybe it's because my minikube version is too new (I'm using
v1.13.1)...? Since I've been trying it for two days and still can't make it
work, I decided to submit this PR and hopefully the Jenkins test will pass.
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