Package com.oracle.bmc.datascience.model

Class ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder

java.lang.Object

com.oracle.bmc.datascience.model.ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder

Enclosing class:

ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails

public static class ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder
extends Object

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails	build()
ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder	copy(ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails model)
ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder	initialInstanceCount(Integer initialInstanceCount)	For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled.
ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder	maximumInstanceCount(Integer maximumInstanceCount)	For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).
ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder	minimumInstanceCount(Integer minimumInstanceCount)	For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).
ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder	rules(List<ManagedComputeClusterMetricExpressionRule> rules)	The list of autoscaling policy rules.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

rules

public ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder rules(List<ManagedComputeClusterMetricExpressionRule> rules)

The list of autoscaling policy rules.

Parameters:

rules - the value to set

Returns:

this builder

maximumInstanceCount

public ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder maximumInstanceCount(Integer maximumInstanceCount)

For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).

Parameters:

maximumInstanceCount - the value to set

Returns:

this builder

minimumInstanceCount

public ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder minimumInstanceCount(Integer minimumInstanceCount)

For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).

Parameters:

minimumInstanceCount - the value to set

Returns:

this builder

initialInstanceCount

public ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder initialInstanceCount(Integer initialInstanceCount)

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled.

Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.

Parameters:

initialInstanceCount - the value to set

Returns:

this builder

build

public ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails build()

copy

public ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails.Builder copy(ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails model)