class Google::Apis::DataprocV1beta2::BasicYarnAutoscalingConfig
Basic autoscaling configurations for YARN.
Attributes
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. Corresponds to the JSON property `gracefulDecommissionTimeout` @return [String]
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. Corresponds to the JSON property `scaleDownFactor` @return [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. Corresponds to the JSON property `scaleDownMinWorkerFraction` @return [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. Corresponds to the JSON property `scaleUpFactor` @return [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. Corresponds to the JSON property `scaleUpMinWorkerFraction` @return [Float]
Public Class Methods
# File lib/google/apis/dataproc_v1beta2/classes.rb, line 215 def initialize(**args) update!(**args) end
Public Instance Methods
Update properties of this object
# File lib/google/apis/dataproc_v1beta2/classes.rb, line 220 def update!(**args) @graceful_decommission_timeout = args[:graceful_decommission_timeout] if args.key?(:graceful_decommission_timeout) @scale_down_factor = args[:scale_down_factor] if args.key?(:scale_down_factor) @scale_down_min_worker_fraction = args[:scale_down_min_worker_fraction] if args.key?(:scale_down_min_worker_fraction) @scale_up_factor = args[:scale_up_factor] if args.key?(:scale_up_factor) @scale_up_min_worker_fraction = args[:scale_up_min_worker_fraction] if args.key?(:scale_up_min_worker_fraction) end