Package com.pulumi.gcp.dataproc.inputs

Class AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder

    • Method Detail

      • gracefulDecommissionTimeout

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder gracefulDecommissionTimeout​(com.pulumi.core.Output<java.lang.String> gracefulDecommissionTimeout)
        Parameters:
        gracefulDecommissionTimeout - 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:
        builder

      • gracefulDecommissionTimeout

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder gracefulDecommissionTimeout​(java.lang.String gracefulDecommissionTimeout)
        Parameters:
        gracefulDecommissionTimeout - 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:
        builder

      • scaleDownFactor

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder scaleDownFactor​(com.pulumi.core.Output<java.lang.Double> scaleDownFactor)
        Parameters:
        scaleDownFactor - Fraction of average 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. Bounds: [0.0, 1.0].
        Returns:
        builder

      • scaleDownFactor

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder scaleDownFactor​(java.lang.Double scaleDownFactor)
        Parameters:
        scaleDownFactor - Fraction of average 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. Bounds: [0.0, 1.0].
        Returns:
        builder

      • scaleDownMinWorkerFraction

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder scaleDownMinWorkerFraction​(@Nullable
                                                                                        com.pulumi.core.Output<java.lang.Double> scaleDownMinWorkerFraction)
        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.
        Returns:
        builder

      • scaleDownMinWorkerFraction

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder scaleDownMinWorkerFraction​(java.lang.Double scaleDownMinWorkerFraction)
        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.
        Returns:
        builder

      • scaleUpFactor

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder scaleUpFactor​(com.pulumi.core.Output<java.lang.Double> scaleUpFactor)
        Parameters:
        scaleUpFactor - Fraction of average 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). Bounds: [0.0, 1.0].
        Returns:
        builder

      • scaleUpFactor

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder scaleUpFactor​(java.lang.Double scaleUpFactor)
        Parameters:
        scaleUpFactor - Fraction of average 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). Bounds: [0.0, 1.0].
        Returns:
        builder

      • scaleUpMinWorkerFraction

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder scaleUpMinWorkerFraction​(@Nullable
                                                                                      com.pulumi.core.Output<java.lang.Double> scaleUpMinWorkerFraction)
        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.
        Returns:
        builder

      • scaleUpMinWorkerFraction

        public AutoscalingPolicyBasicAlgorithmYarnConfigArgs.Builder scaleUpMinWorkerFraction​(java.lang.Double scaleUpMinWorkerFraction)
        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.
        Returns:
        builder