Package com.hashicorp.cdktf.providers.google.dataproc_autoscaling_policy

Class DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.Builder

    • Constructor Detail

      • Builder

        public Builder()

    • Method Detail

      • gracefulDecommissionTimeout

        @Stability(Stable)
public DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.Builder gracefulDecommissionTimeout​(String gracefulDecommissionTimeout)
        Sets the value of DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.getGracefulDecommissionTimeout()
        Parameters:
        gracefulDecommissionTimeout - Timeout for YARN graceful decommissioning of Node Managers. This parameter is required. 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]. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/dataproc_autoscaling_policy#graceful_decommission_timeout DataprocAutoscalingPolicy#graceful_decommission_timeout}
        Returns:
        this

      • scaleDownFactor

        @Stability(Stable)
public DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.Builder scaleDownFactor​(Number scaleDownFactor)
        Sets the value of DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.getScaleDownFactor()
        Parameters:
        scaleDownFactor - Fraction of average pending memory in the last cooldown period for which to remove workers. This parameter is required. 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. Bounds: [0.0, 1.0]. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/dataproc_autoscaling_policy#scale_down_factor DataprocAutoscalingPolicy#scale_down_factor}
        Returns:
        this

      • scaleUpFactor

        @Stability(Stable)
public DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.Builder scaleUpFactor​(Number scaleUpFactor)
        Sets the value of DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.getScaleUpFactor()
        Parameters:
        scaleUpFactor - Fraction of average pending memory in the last cooldown period for which to add workers. This parameter is required. 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). Bounds: [0.0, 1.0]. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/dataproc_autoscaling_policy#scale_up_factor DataprocAutoscalingPolicy#scale_up_factor}
        Returns:
        this

      • scaleDownMinWorkerFraction

        @Stability(Stable)
public DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.Builder scaleDownMinWorkerFraction​(Number scaleDownMinWorkerFraction)
        Sets the value of DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.getScaleDownMinWorkerFraction()
        Parameters:
        scaleDownMinWorkerFraction - 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. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/dataproc_autoscaling_policy#scale_down_min_worker_fraction DataprocAutoscalingPolicy#scale_down_min_worker_fraction}
        Returns:
        this

      • scaleUpMinWorkerFraction

        @Stability(Stable)
public DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.Builder scaleUpMinWorkerFraction​(Number scaleUpMinWorkerFraction)
        Sets the value of DataprocAutoscalingPolicyBasicAlgorithmYarnConfig.getScaleUpMinWorkerFraction()
        Parameters:
        scaleUpMinWorkerFraction - 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. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/dataproc_autoscaling_policy#scale_up_min_worker_fraction DataprocAutoscalingPolicy#scale_up_min_worker_fraction}
        Returns:
        this