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https://issues.apache.org/jira/browse/SPARK-25162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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James Carter updated SPARK-25162:
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    Summary: Kubernetes 'in-cluster' client mode and value of spark.driver.host 
 (was: Kubernetes 'in-cluster' client mode and value spark.driver.host)

> Kubernetes 'in-cluster' client mode and value of spark.driver.host
> ------------------------------------------------------------------
>
>                 Key: SPARK-25162
>                 URL: https://issues.apache.org/jira/browse/SPARK-25162
>             Project: Spark
>          Issue Type: Bug
>          Components: Kubernetes
>    Affects Versions: 2.4.0
>         Environment: A java program, deployed to kubernetes, that establishes 
> a Spark Context in client mode. 
> Not using spark-submit.
> Kubernetes 1.10
> AWS EKS
>  
>  
>            Reporter: James Carter
>            Priority: Minor
>
> When creating Kubernetes scheduler 'in-cluster' using client mode, the value 
> for spark.driver.host can be derived from the IP address of the driver pod.
> I observed that the value of _spark.driver.host_ defaulted to the value of 
> _spark.kubernetes.driver.pod.name_, which is not a valid hostname.  This 
> caused the executors to fail to establish a connection back to the driver.
> As a work around, in my configuration I pass the driver's pod name _and_ the 
> driver's ip address to ensure that executors can establish a connection with 
> the driver.
> _spark.kubernetes.driver.pod.name_ := env.valueFrom.fieldRef.fieldPath: 
> metadata.name
> _spark.driver.host_ := env.valueFrom.fieldRef.fieldPath: status.podIp
> e.g.
> Deployment:
> {noformat}
> env:
> - name: DRIVER_POD_NAME
>   valueFrom:
>     fieldRef:
>       fieldPath: metadata.name
> - name: DRIVER_POD_IP
>   valueFrom:
>     fieldRef:
>       fieldPath: status.podIP
> {noformat}
>  
> Application Properties:
> {noformat}
> config[spark.kubernetes.driver.pod.name]: ${DRIVER_POD_NAME}
> config[spark.driver.host]: ${DRIVER_POD_IP}
> {noformat}
>  
> BasicExecutorFeatureStep.scala:
> {code:java}
> private val driverUrl = RpcEndpointAddress(
>     kubernetesConf.get("spark.driver.host"),
>     kubernetesConf.sparkConf.getInt("spark.driver.port", DEFAULT_DRIVER_PORT),
>     CoarseGrainedSchedulerBackend.ENDPOINT_NAME).toString
> {code}
>  
> Ideally only _spark.kubernetes.driver.pod.name_ would need be provided in 
> this deployment scenario.
>  
>  
>  



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