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org.apache.spark.deploy.k8s.features

KubernetesFeatureConfigStep

trait KubernetesFeatureConfigStep extends AnyRef

:: DeveloperApi ::

A collection of functions that together represent a "feature" in pods that are launched for Spark drivers and executors.

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@Unstable() @DeveloperApi()
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  1. abstract def configurePod(pod: SparkPod): SparkPod

    Apply modifications on the given pod in accordance to this feature.

    Apply modifications on the given pod in accordance to this feature. This can include attaching volumes, adding environment variables, and adding labels/annotations.

    Note that we should return a SparkPod that keeps all of the properties of the passed SparkPod object. So this is correct:

    val configuredPod = new PodBuilder(pod.pod)
        .editSpec()
        ...
        .build()
      val configuredContainer = new ContainerBuilder(pod.container)
        ...
        .build()
      SparkPod(configuredPod, configuredContainer)
     
    
    This is incorrect:
    val configuredPod = new PodBuilder() // Loses the original state
        .editSpec()
        ...
        .build()
      val configuredContainer = new ContainerBuilder() // Loses the original state
        ...
        .build()
      SparkPod(configuredPod, configuredContainer)
     
    

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  9. def getAdditionalKubernetesResources(): Seq[HasMetadata]

    Return any additional Kubernetes resources that should be added to support this feature.

    Return any additional Kubernetes resources that should be added to support this feature. Only applicable when creating the driver in cluster mode. Resources would be setup/refresh after Pod creation.

  10. def getAdditionalPodSystemProperties(): Map[String, String]

    Return any system properties that should be set on the JVM in accordance to this feature.

  11. def getAdditionalPreKubernetesResources(): Seq[HasMetadata]

    Return any additional Kubernetes resources that should be added to support this feature.

    Return any additional Kubernetes resources that should be added to support this feature. Only applicable when creating the driver in cluster mode. Resources would be setup/refresh before Pod creation.

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