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Posted to issues@spark.apache.org by "Attila Zsolt Piros (Jira)" <ji...@apache.org> on 2021/05/07 09:48:00 UTC
[jira] [Updated] (SPARK-35334) Spark should be more resilient to
intermittent K8s flakiness
[ https://issues.apache.org/jira/browse/SPARK-35334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Attila Zsolt Piros updated SPARK-35334:
---------------------------------------
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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