ClusterNodeGroupAutoScalingPolicyScalingRuleArgs

data class ClusterNodeGroupAutoScalingPolicyScalingRuleArgs(val activityType: Output<String>, val adjustmentType: Output<String>? = null, val adjustmentValue: Output<Int>, val metricsTrigger: Output<ClusterNodeGroupAutoScalingPolicyScalingRuleMetricsTriggerArgs>? = null, val minAdjustmentValue: Output<Int>? = null, val ruleName: Output<String>, val timeTrigger: Output<ClusterNodeGroupAutoScalingPolicyScalingRuleTimeTriggerArgs>? = null, val triggerType: Output<String>) : ConvertibleToJava<ClusterNodeGroupAutoScalingPolicyScalingRuleArgs>

Constructors

constructor(activityType: Output<String>, adjustmentType: Output<String>? = null, adjustmentValue: Output<Int>, metricsTrigger: Output<ClusterNodeGroupAutoScalingPolicyScalingRuleMetricsTriggerArgs>? = null, minAdjustmentValue: Output<Int>? = null, ruleName: Output<String>, timeTrigger: Output<ClusterNodeGroupAutoScalingPolicyScalingRuleTimeTriggerArgs>? = null, triggerType: Output<String>)

The activity type of auto scaling policy. Valid values: SCALE_OUT and SCALE_IN.

val adjustmentType: Output<String>? = null

The adjustment type of auto scaling policy. Valid values: CHANGE_IN_CAPACITY and EXACT_CAPACITY.

The adjustment value of auto scaling policy. The value should between 1 and 5000.

The trigger metrics of scaling rules for emr node group auto scaling policy. See metrics_trigger below.

val minAdjustmentValue: Output<Int>? = null

The minimum adjustment value of auto scaling policy.

The rule name of auto scaling policy.

The trigger time of scaling rules for emr node group auto scaling policy. See time_trigger below.

The trigger type of auto scaling policy. Valid values: TIME_TRIGGER and METRICS_TRIGGER.

open override fun toJava(): ClusterNodeGroupAutoScalingPolicyScalingRuleArgs