Reference documentation and code samples for the Google Cloud Dataproc V1 Client class BasicYarnAutoscalingConfig.
Basic autoscaling configurations for YARN.
Generated from protobuf message google.cloud.dataproc.v1.BasicYarnAutoscalingConfig
Namespace
Google \ Cloud \ Dataproc \ V1Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ graceful_decommission_timeout |
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]. |
↳ scale_up_factor |
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]. |
↳ scale_down_factor |
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]. |
↳ scale_up_min_worker_fraction |
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. |
↳ scale_down_min_worker_fraction |
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. |
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].
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Duration|null |
|
hasGracefulDecommissionTimeout
clearGracefulDecommissionTimeout
setGracefulDecommissionTimeout
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].
| Parameter | |
|---|---|
| Name | Description |
var |
Google\Protobuf\Duration
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
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 for more information.
Bounds: [0.0, 1.0].
| Returns | |
|---|---|
| Type | Description |
float |
|
setScaleUpFactor
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].
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
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 for more information. Bounds: [0.0, 1.0].
| Returns | |
|---|---|
| Type | Description |
float |
|
setScaleDownFactor
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].
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
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.
| Returns | |
|---|---|
| Type | Description |
float |
|
setScaleUpMinWorkerFraction
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.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
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.
| Returns | |
|---|---|
| Type | Description |
float |
|
setScaleDownMinWorkerFraction
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.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this |
|