Google Cloud Dataproc v1 API - Class BasicYarnAutoscalingConfig (5.7.0)

public sealed class BasicYarnAutoscalingConfig : IMessage<BasicYarnAutoscalingConfig>, IEquatable<BasicYarnAutoscalingConfig>, IDeepCloneable<BasicYarnAutoscalingConfig>, IBufferMessage, IMessage

Reference documentation and code samples for the Google Cloud Dataproc v1 API class BasicYarnAutoscalingConfig.

Basic autoscaling configurations for YARN.

Inheritance

object > BasicYarnAutoscalingConfig

Implements

IMessage BasicYarnAutoscalingConfig, IEquatable BasicYarnAutoscalingConfig, IDeepCloneable BasicYarnAutoscalingConfig, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.Dataproc.V1

Assembly

Google.Cloud.Dataproc.V1.dll

Constructors

BasicYarnAutoscalingConfig()

public BasicYarnAutoscalingConfig()

BasicYarnAutoscalingConfig(BasicYarnAutoscalingConfig)

public BasicYarnAutoscalingConfig(BasicYarnAutoscalingConfig other)

Parameter
Name	Description
`other`	`BasicYarnAutoscalingConfig`

Properties

GracefulDecommissionTimeout

public Duration GracefulDecommissionTimeout { get; set; }

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].

Property Value
Type	Description
`Duration`

ScaleDownFactor

public double ScaleDownFactor { get; set; }

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].

Property Value
Type	Description
`double`

ScaleDownMinWorkerFraction

public double ScaleDownMinWorkerFraction { get; set; }

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.

Property Value
Type	Description
`double`

ScaleUpFactor

public double ScaleUpFactor { get; set; }

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].

Property Value
Type	Description
`double`

ScaleUpMinWorkerFraction

public double ScaleUpMinWorkerFraction { get; set; }

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.

Property Value
Type	Description
`double`