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Hyukjin Kwon resolved SPARK-24122. ---------------------------------- Resolution: Incomplete > Allow automatic driver restarts on K8s > -------------------------------------- > > Key: SPARK-24122 > URL: https://issues.apache.org/jira/browse/SPARK-24122 > Project: Spark > Issue Type: Improvement > Components: Kubernetes > Affects Versions: 2.3.0 > Reporter: Oz Ben-Ami > Priority: Minor > Labels: bulk-closed > > [~foxish] > Right now SparkSubmit creates the driver as a bare pod, rather than a managed > controller like a Deployment or a StatefulSet. This means there is no way to > guarantee automatic restarts, eg in case a node has an issue. Note Pod > RestartPolicy does not apply if a node fails. A StatefulSet would allow us to > guarantee that, and keep the ability for executors to find the driver using > DNS. > This is particularly helpful for long-running streaming workloads, where we > currently use {{yarn.resourcemanager.am.max-attempts}} with YARN. I can > confirm that Spark Streaming and Structured Streaming applications can be > made to recover from such a restart, with the help of checkpointing. The > executors will have to be started again by the driver, but this should not be > a problem. > For batch processing, we could alternatively use Kubernetes {{Job}} objects, > which restart pods on failure but not success. For example, note the > semantics provided by the {{kubectl run}} > [command|https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#run] > * {{--restart=Never}}: bare Pod > * {{--restart=Always}}: Deployment > * {{--restart=OnFailure}}: Job > https://github.com/apache-spark-on-k8s/spark/issues/288 -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org