Class: Google::Cloud::Dataproc::V1beta2::BasicYarnAutoscalingConfig

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/dataproc/v1beta2/autoscaling_policies.rb

Overview

Basic autoscaling configurations for YARN.

Instance Attribute Summary collapse

Instance Attribute Details

#graceful_decommission_timeout ⇒ ::Google::Protobuf::Duration

Returns Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.

Bounds: [0s, 1d].

Returns:

  • (::Google::Protobuf::Duration) —

    Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.

    Bounds: [0s, 1d].



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# File 'proto_docs/google/cloud/dataproc/v1beta2/autoscaling_policies.rb', line 123

class BasicYarnAutoscalingConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#scale_down_factor ⇒ ::Float

Returns Required. Fraction of average YARN pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job. See How autoscaling works for more information.

Bounds: [0.0, 1.0].

Returns:

  • (::Float) —

    Required. Fraction of average YARN pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job. See How autoscaling works for more information.

    Bounds: [0.0, 1.0].



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# File 'proto_docs/google/cloud/dataproc/v1beta2/autoscaling_policies.rb', line 123

class BasicYarnAutoscalingConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#scale_down_min_worker_fraction ⇒ ::Float

Returns Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.

Bounds: [0.0, 1.0]. Default: 0.0.

Returns:

  • (::Float) —

    Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.

    Bounds: [0.0, 1.0]. Default: 0.0.



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# File 'proto_docs/google/cloud/dataproc/v1beta2/autoscaling_policies.rb', line 123

class BasicYarnAutoscalingConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#scale_up_factor ⇒ ::Float

Returns Required. Fraction of average YARN pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling). See How autoscaling works for more information.

Bounds: [0.0, 1.0].

Returns:

  • (::Float) —

    Required. Fraction of average YARN pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling). See How autoscaling works for more information.

    Bounds: [0.0, 1.0].



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# File 'proto_docs/google/cloud/dataproc/v1beta2/autoscaling_policies.rb', line 123

class BasicYarnAutoscalingConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#scale_up_min_worker_fraction ⇒ ::Float

Returns Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.

Bounds: [0.0, 1.0]. Default: 0.0.

Returns:

  • (::Float) —

    Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.

    Bounds: [0.0, 1.0]. Default: 0.0.



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# File 'proto_docs/google/cloud/dataproc/v1beta2/autoscaling_policies.rb', line 123

class BasicYarnAutoscalingConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end