BasicYarnAutoscalingConfigOrBuilder (Google Cloud Dataproc Parent 4.0.8 API)

All Superinterfaces:

MessageLiteOrBuilder, MessageOrBuilder

All Known Implementing Classes:

BasicYarnAutoscalingConfig, BasicYarnAutoscalingConfig.Builder
```
public interface BasicYarnAutoscalingConfigOrBuilder
extends MessageOrBuilder
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`Duration`	`getGracefulDecommissionTimeout()` Required.
`DurationOrBuilder`	`getGracefulDecommissionTimeoutOrBuilder()` Required.
`double`	`getScaleDownFactor()` Required.
`double`	`getScaleDownMinWorkerFraction()` Optional.
`double`	`getScaleUpFactor()` Required.
`double`	`getScaleUpMinWorkerFraction()` Optional.
`boolean`	`hasGracefulDecommissionTimeout()` Required.

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitialized

Method Detail

hasGracefulDecommissionTimeout

boolean hasGracefulDecommissionTimeout()

 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].


 .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];

Returns:: Whether the gracefulDecommissionTimeout field is set.

getGracefulDecommissionTimeout

Duration getGracefulDecommissionTimeout()

 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].


 .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];

Returns:: The gracefulDecommissionTimeout.

getGracefulDecommissionTimeoutOrBuilder

DurationOrBuilder getGracefulDecommissionTimeoutOrBuilder()

 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].


 .google.protobuf.Duration graceful_decommission_timeout = 5 [(.google.api.field_behavior) = REQUIRED];

getScaleUpFactor

double getScaleUpFactor()

 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].

double scale_up_factor = 1 [(.google.api.field_behavior) = REQUIRED];

Returns:: The scaleUpFactor.

getScaleDownFactor

double getScaleDownFactor()

 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].

double scale_down_factor = 2 [(.google.api.field_behavior) = REQUIRED];

Returns:: The scaleDownFactor.

getScaleUpMinWorkerFraction

double getScaleUpMinWorkerFraction()

 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.

double scale_up_min_worker_fraction = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns:: The scaleUpMinWorkerFraction.

getScaleDownMinWorkerFraction

double getScaleDownMinWorkerFraction()

 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.

double scale_down_min_worker_fraction = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns:: The scaleDownMinWorkerFraction.

Interface BasicYarnAutoscalingConfigOrBuilder