Class: Google::Cloud::Dataproc::V1::GkeNodePoolTarget

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/dataproc/v1/shared.rb

Overview

GKE node pools that Dataproc workloads run on.

Defined Under Namespace

Modules: Role

Instance Attribute Summary collapse

Instance Attribute Details

#node_pool ⇒ ::String 



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# File 'proto_docs/google/cloud/dataproc/v1/shared.rb', line 377

class GkeNodePoolTarget
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # `Role` specifies the tasks that will run on the node pool. Roles can be
  # specific to workloads. Exactly one
  # {::Google::Cloud::Dataproc::V1::GkeNodePoolTarget GkeNodePoolTarget} within the
  # virtual cluster must have the `DEFAULT` role, which is used to run all
  # workloads that are not associated with a node pool.
  module Role
    # Role is unspecified.
    ROLE_UNSPECIFIED = 0

    # At least one node pool must have the `DEFAULT` role.
    # Work assigned to a role that is not associated with a node pool
    # is assigned to the node pool with the `DEFAULT` role. For example,
    # work assigned to the `CONTROLLER` role will be assigned to the node pool
    # with the `DEFAULT` role if no node pool has the `CONTROLLER` role.
    DEFAULT = 1

    # Run work associated with the Dataproc control plane (for example,
    # controllers and webhooks). Very low resource requirements.
    CONTROLLER = 2

    # Run work associated with a Spark driver of a job.
    SPARK_DRIVER = 3

    # Run work associated with a Spark executor of a job.
    SPARK_EXECUTOR = 4
  end
end

#node_pool_config ⇒ ::Google::Cloud::Dataproc::V1::GkeNodePoolConfig 



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# File 'proto_docs/google/cloud/dataproc/v1/shared.rb', line 377

class GkeNodePoolTarget
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # `Role` specifies the tasks that will run on the node pool. Roles can be
  # specific to workloads. Exactly one
  # {::Google::Cloud::Dataproc::V1::GkeNodePoolTarget GkeNodePoolTarget} within the
  # virtual cluster must have the `DEFAULT` role, which is used to run all
  # workloads that are not associated with a node pool.
  module Role
    # Role is unspecified.
    ROLE_UNSPECIFIED = 0

    # At least one node pool must have the `DEFAULT` role.
    # Work assigned to a role that is not associated with a node pool
    # is assigned to the node pool with the `DEFAULT` role. For example,
    # work assigned to the `CONTROLLER` role will be assigned to the node pool
    # with the `DEFAULT` role if no node pool has the `CONTROLLER` role.
    DEFAULT = 1

    # Run work associated with the Dataproc control plane (for example,
    # controllers and webhooks). Very low resource requirements.
    CONTROLLER = 2

    # Run work associated with a Spark driver of a job.
    SPARK_DRIVER = 3

    # Run work associated with a Spark executor of a job.
    SPARK_EXECUTOR = 4
  end
end

#roles ⇒ ::Array<::Google::Cloud::Dataproc::V1::GkeNodePoolTarget::Role> 



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# File 'proto_docs/google/cloud/dataproc/v1/shared.rb', line 377

class GkeNodePoolTarget
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # `Role` specifies the tasks that will run on the node pool. Roles can be
  # specific to workloads. Exactly one
  # {::Google::Cloud::Dataproc::V1::GkeNodePoolTarget GkeNodePoolTarget} within the
  # virtual cluster must have the `DEFAULT` role, which is used to run all
  # workloads that are not associated with a node pool.
  module Role
    # Role is unspecified.
    ROLE_UNSPECIFIED = 0

    # At least one node pool must have the `DEFAULT` role.
    # Work assigned to a role that is not associated with a node pool
    # is assigned to the node pool with the `DEFAULT` role. For example,
    # work assigned to the `CONTROLLER` role will be assigned to the node pool
    # with the `DEFAULT` role if no node pool has the `CONTROLLER` role.
    DEFAULT = 1

    # Run work associated with the Dataproc control plane (for example,
    # controllers and webhooks). Very low resource requirements.
    CONTROLLER = 2

    # Run work associated with a Spark driver of a job.
    SPARK_DRIVER = 3

    # Run work associated with a Spark executor of a job.
    SPARK_EXECUTOR = 4
  end
end