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https://issues.apache.org/jira/browse/SPARK-35334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Attila Zsolt Piros updated SPARK-35334:
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Description:
Internal K8s errors such as an etcdserver leader election is propagated to the
API client and could cause serious issues in Spark, like:
{noformat}
Caused by: io.fabric8.kubernetes.client.KubernetesClientException: Failure
executing: GET at:
https://kubernetes.default.svc/api/v1/namespaces/dex-app-bl24w4z9/pods/sparkpi-10-fcd3f6781a874212-driver.
Message: etcdserver:
leader changed. Received status: Status(apiVersion=v1, code=500, details=null,
kind=Status, message=etcdserver: leader changed,
metadata=ListMeta(_continue=null, remainingItemCount=null,
resourceVersion=null, selfLink=null, additionalProperties={}), reason=null,
status=Failure, additionalProperties={}).
{noformat}
First I try to fix in kubernetes-client by adding retries with exponential
backoff:
https://github.com/fabric8io/kubernetes-client/issues/3087
If I manage it then this will could be just version update and introducing some
new configs in Spark.
was:
Internal K8s errors such as an etcdserver leader election is propagated to the
API client and could cause serious issues in Spark, like:
{noformat}
Caused by: io.fabric8.kubernetes.client.KubernetesClientException: Failure
executing: GET at:
https://kubernetes.default.svc/api/v1/namespaces/dex-app-bl24w4z9/pods/sparkpi-10-fcd3f6781a874212-driver.
Message: etcdserver: leader changed. Received status: Status(apiVersion=v1,
code=500, details=null, kind=Status, message=etcdserver: leader changed,
metadata=ListMeta(_continue=null, remainingItemCount=null,
resourceVersion=null, selfLink=null, additionalProperties={}), reason=null,
status=Failure, additionalProperties={}).
{noformat}
First I try to fix in kubernetes-client by adding retries with exponential
backoff:
https://github.com/fabric8io/kubernetes-client/issues/3087
If I manage it then this will could be just version update and introducing some
new configs in Spark.
> Spark should be more resilient to intermittent K8s flakiness
> ------------------------------------------------------------
>
> Key: SPARK-35334
> URL: https://issues.apache.org/jira/browse/SPARK-35334
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes
> Affects Versions: 3.2.0
> Reporter: Attila Zsolt Piros
> Assignee: Attila Zsolt Piros
> Priority: Major
>
> Internal K8s errors such as an etcdserver leader election is propagated to
> the API client and could cause serious issues in Spark, like:
> {noformat}
> Caused by: io.fabric8.kubernetes.client.KubernetesClientException: Failure
> executing: GET at:
> https://kubernetes.default.svc/api/v1/namespaces/dex-app-bl24w4z9/pods/sparkpi-10-fcd3f6781a874212-driver.
> Message: etcdserver:
> leader changed. Received status: Status(apiVersion=v1, code=500,
> details=null, kind=Status, message=etcdserver: leader changed,
> metadata=ListMeta(_continue=null, remainingItemCount=null,
> resourceVersion=null, selfLink=null, additionalProperties={}), reason=null,
> status=Failure, additionalProperties={}).
> {noformat}
> First I try to fix in kubernetes-client by adding retries with exponential
> backoff:
> https://github.com/fabric8io/kubernetes-client/issues/3087
> If I manage it then this will could be just version update and introducing
> some new configs in Spark.
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