Class BasicYarnAutoscalingConfig

Basic autoscaling configurations for YARN.

Inheritance

object

BasicYarnAutoscalingConfig

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Dataproc.v1.Data

Assembly: Google.Apis.Dataproc.v1.dll

Syntax

public class BasicYarnAutoscalingConfig : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

GracefulDecommissionTimeout

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.

Declaration

[JsonProperty("gracefulDecommissionTimeout")]
public virtual object GracefulDecommissionTimeout { get; set; }

Property Value

Type	Description
object

ScaleDownFactor

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 (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works) for more information.Bounds: 0.0, 1.0.

Declaration

[JsonProperty("scaleDownFactor")]
public virtual double? ScaleDownFactor { get; set; }

Property Value

Type	Description
double?

ScaleDownMinWorkerFraction

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.

Declaration

[JsonProperty("scaleDownMinWorkerFraction")]
public virtual double? ScaleDownMinWorkerFraction { get; set; }

Property Value

Type	Description
double?

ScaleUpFactor

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 (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works) for more information.Bounds: 0.0, 1.0.

Declaration

[JsonProperty("scaleUpFactor")]
public virtual double? ScaleUpFactor { get; set; }

Property Value

Type	Description
double?

ScaleUpMinWorkerFraction

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.

Declaration

[JsonProperty("scaleUpMinWorkerFraction")]
public virtual double? ScaleUpMinWorkerFraction { get; set; }

Property Value

Type	Description
double?

Implements

IDirectResponseSchema