com.amazonaws.services.applicationautoscaling.model.TargetTrackingScalingPolicyConfiguration Maven / Gradle / Ivy
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/*
* Copyright 2015-2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.applicationautoscaling.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* Represents a target tracking scaling policy configuration to use with Application Auto Scaling.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class TargetTrackingScalingPolicyConfiguration implements Serializable, Cloneable, StructuredPojo {
/**
*
* The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base
* 2).
*
*/
private Double targetValue;
/**
*
* A predefined metric. You can specify either a predefined metric or a customized metric.
*
*/
private PredefinedMetricSpecification predefinedMetricSpecification;
/**
*
* A customized metric. You can specify either a predefined metric or a customized metric.
*
*/
private CustomizedMetricSpecification customizedMetricSpecification;
/**
*
* The amount of time, in seconds, to wait for a previous scale-out activity to take effect.
*
*
* With the scale-out cooldown period, the intention is to continuously (but not excessively) scale out.
* After Application Auto Scaling successfully scales out using a target tracking scaling policy, it starts to
* calculate the cooldown time. While the scale-out cooldown period is in effect, the capacity added by the
* initiating scale-out activity is calculated as part of the desired capacity for the next scale-out activity.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*
*/
private Integer scaleOutCooldown;
/**
*
* The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start.
*
*
* With the scale-in cooldown period, the intention is to scale in conservatively to protect your
* application’s availability, so scale-in activities are blocked until the cooldown period has expired. However, if
* another alarm triggers a scale-out activity during the scale-in cooldown period, Application Auto Scaling scales
* out the target immediately. In this case, the scale-in cooldown period stops and doesn't complete.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*
*/
private Integer scaleInCooldown;
/**
*
* Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true,
* scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target.
* Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable
* target. The default value is false.
*
*/
private Boolean disableScaleIn;
/**
*
* The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base
* 2).
*
*
* @param targetValue
* The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360
* (Base 2).
*/
public void setTargetValue(Double targetValue) {
this.targetValue = targetValue;
}
/**
*
* The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base
* 2).
*
*
* @return The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360
* (Base 2).
*/
public Double getTargetValue() {
return this.targetValue;
}
/**
*
* The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base
* 2).
*
*
* @param targetValue
* The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360
* (Base 2).
* @return Returns a reference to this object so that method calls can be chained together.
*/
public TargetTrackingScalingPolicyConfiguration withTargetValue(Double targetValue) {
setTargetValue(targetValue);
return this;
}
/**
*
* A predefined metric. You can specify either a predefined metric or a customized metric.
*
*
* @param predefinedMetricSpecification
* A predefined metric. You can specify either a predefined metric or a customized metric.
*/
public void setPredefinedMetricSpecification(PredefinedMetricSpecification predefinedMetricSpecification) {
this.predefinedMetricSpecification = predefinedMetricSpecification;
}
/**
*
* A predefined metric. You can specify either a predefined metric or a customized metric.
*
*
* @return A predefined metric. You can specify either a predefined metric or a customized metric.
*/
public PredefinedMetricSpecification getPredefinedMetricSpecification() {
return this.predefinedMetricSpecification;
}
/**
*
* A predefined metric. You can specify either a predefined metric or a customized metric.
*
*
* @param predefinedMetricSpecification
* A predefined metric. You can specify either a predefined metric or a customized metric.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public TargetTrackingScalingPolicyConfiguration withPredefinedMetricSpecification(PredefinedMetricSpecification predefinedMetricSpecification) {
setPredefinedMetricSpecification(predefinedMetricSpecification);
return this;
}
/**
*
* A customized metric. You can specify either a predefined metric or a customized metric.
*
*
* @param customizedMetricSpecification
* A customized metric. You can specify either a predefined metric or a customized metric.
*/
public void setCustomizedMetricSpecification(CustomizedMetricSpecification customizedMetricSpecification) {
this.customizedMetricSpecification = customizedMetricSpecification;
}
/**
*
* A customized metric. You can specify either a predefined metric or a customized metric.
*
*
* @return A customized metric. You can specify either a predefined metric or a customized metric.
*/
public CustomizedMetricSpecification getCustomizedMetricSpecification() {
return this.customizedMetricSpecification;
}
/**
*
* A customized metric. You can specify either a predefined metric or a customized metric.
*
*
* @param customizedMetricSpecification
* A customized metric. You can specify either a predefined metric or a customized metric.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public TargetTrackingScalingPolicyConfiguration withCustomizedMetricSpecification(CustomizedMetricSpecification customizedMetricSpecification) {
setCustomizedMetricSpecification(customizedMetricSpecification);
return this;
}
/**
*
* The amount of time, in seconds, to wait for a previous scale-out activity to take effect.
*
*
* With the scale-out cooldown period, the intention is to continuously (but not excessively) scale out.
* After Application Auto Scaling successfully scales out using a target tracking scaling policy, it starts to
* calculate the cooldown time. While the scale-out cooldown period is in effect, the capacity added by the
* initiating scale-out activity is calculated as part of the desired capacity for the next scale-out activity.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*
*
* @param scaleOutCooldown
* The amount of time, in seconds, to wait for a previous scale-out activity to take effect.
*
* With the scale-out cooldown period, the intention is to continuously (but not excessively) scale
* out. After Application Auto Scaling successfully scales out using a target tracking scaling policy, it
* starts to calculate the cooldown time. While the scale-out cooldown period is in effect, the capacity
* added by the initiating scale-out activity is calculated as part of the desired capacity for the next
* scale-out activity.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*/
public void setScaleOutCooldown(Integer scaleOutCooldown) {
this.scaleOutCooldown = scaleOutCooldown;
}
/**
*
* The amount of time, in seconds, to wait for a previous scale-out activity to take effect.
*
*
* With the scale-out cooldown period, the intention is to continuously (but not excessively) scale out.
* After Application Auto Scaling successfully scales out using a target tracking scaling policy, it starts to
* calculate the cooldown time. While the scale-out cooldown period is in effect, the capacity added by the
* initiating scale-out activity is calculated as part of the desired capacity for the next scale-out activity.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*
*
* @return The amount of time, in seconds, to wait for a previous scale-out activity to take effect.
*
* With the scale-out cooldown period, the intention is to continuously (but not excessively) scale
* out. After Application Auto Scaling successfully scales out using a target tracking scaling policy, it
* starts to calculate the cooldown time. While the scale-out cooldown period is in effect, the capacity
* added by the initiating scale-out activity is calculated as part of the desired capacity for the next
* scale-out activity.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*/
public Integer getScaleOutCooldown() {
return this.scaleOutCooldown;
}
/**
*
* The amount of time, in seconds, to wait for a previous scale-out activity to take effect.
*
*
* With the scale-out cooldown period, the intention is to continuously (but not excessively) scale out.
* After Application Auto Scaling successfully scales out using a target tracking scaling policy, it starts to
* calculate the cooldown time. While the scale-out cooldown period is in effect, the capacity added by the
* initiating scale-out activity is calculated as part of the desired capacity for the next scale-out activity.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*
*
* @param scaleOutCooldown
* The amount of time, in seconds, to wait for a previous scale-out activity to take effect.
*
* With the scale-out cooldown period, the intention is to continuously (but not excessively) scale
* out. After Application Auto Scaling successfully scales out using a target tracking scaling policy, it
* starts to calculate the cooldown time. While the scale-out cooldown period is in effect, the capacity
* added by the initiating scale-out activity is calculated as part of the desired capacity for the next
* scale-out activity.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
* @return Returns a reference to this object so that method calls can be chained together.
*/
public TargetTrackingScalingPolicyConfiguration withScaleOutCooldown(Integer scaleOutCooldown) {
setScaleOutCooldown(scaleOutCooldown);
return this;
}
/**
*
* The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start.
*
*
* With the scale-in cooldown period, the intention is to scale in conservatively to protect your
* application’s availability, so scale-in activities are blocked until the cooldown period has expired. However, if
* another alarm triggers a scale-out activity during the scale-in cooldown period, Application Auto Scaling scales
* out the target immediately. In this case, the scale-in cooldown period stops and doesn't complete.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*
*
* @param scaleInCooldown
* The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can
* start.
*
* With the scale-in cooldown period, the intention is to scale in conservatively to protect your
* application’s availability, so scale-in activities are blocked until the cooldown period has expired.
* However, if another alarm triggers a scale-out activity during the scale-in cooldown period, Application
* Auto Scaling scales out the target immediately. In this case, the scale-in cooldown period stops and
* doesn't complete.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*/
public void setScaleInCooldown(Integer scaleInCooldown) {
this.scaleInCooldown = scaleInCooldown;
}
/**
*
* The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start.
*
*
* With the scale-in cooldown period, the intention is to scale in conservatively to protect your
* application’s availability, so scale-in activities are blocked until the cooldown period has expired. However, if
* another alarm triggers a scale-out activity during the scale-in cooldown period, Application Auto Scaling scales
* out the target immediately. In this case, the scale-in cooldown period stops and doesn't complete.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*
*
* @return The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can
* start.
*
* With the scale-in cooldown period, the intention is to scale in conservatively to protect your
* application’s availability, so scale-in activities are blocked until the cooldown period has expired.
* However, if another alarm triggers a scale-out activity during the scale-in cooldown period, Application
* Auto Scaling scales out the target immediately. In this case, the scale-in cooldown period stops and
* doesn't complete.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*/
public Integer getScaleInCooldown() {
return this.scaleInCooldown;
}
/**
*
* The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start.
*
*
* With the scale-in cooldown period, the intention is to scale in conservatively to protect your
* application’s availability, so scale-in activities are blocked until the cooldown period has expired. However, if
* another alarm triggers a scale-out activity during the scale-in cooldown period, Application Auto Scaling scales
* out the target immediately. In this case, the scale-in cooldown period stops and doesn't complete.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
*
*
* @param scaleInCooldown
* The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can
* start.
*
* With the scale-in cooldown period, the intention is to scale in conservatively to protect your
* application’s availability, so scale-in activities are blocked until the cooldown period has expired.
* However, if another alarm triggers a scale-out activity during the scale-in cooldown period, Application
* Auto Scaling scales out the target immediately. In this case, the scale-in cooldown period stops and
* doesn't complete.
*
*
* Application Auto Scaling provides a default value of 300 for the following scalable targets:
*
*
* -
*
* ECS services
*
*
* -
*
* Spot Fleet requests
*
*
* -
*
* EMR clusters
*
*
* -
*
* AppStream 2.0 fleets
*
*
* -
*
* Aurora DB clusters
*
*
* -
*
* Amazon SageMaker endpoint variants
*
*
* -
*
* Custom resources
*
*
*
*
* For all other scalable targets, the default value is 0:
*
*
* -
*
* DynamoDB tables
*
*
* -
*
* DynamoDB global secondary indexes
*
*
* -
*
* Amazon Comprehend document classification endpoints
*
*
* -
*
* Lambda provisioned concurrency
*
*
* -
*
* Amazon Keyspaces tables
*
*
* @return Returns a reference to this object so that method calls can be chained together.
*/
public TargetTrackingScalingPolicyConfiguration withScaleInCooldown(Integer scaleInCooldown) {
setScaleInCooldown(scaleInCooldown);
return this;
}
/**
*
* Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true,
* scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target.
* Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable
* target. The default value is false.
*
*
* @param disableScaleIn
* Indicates whether scale in by the target tracking scaling policy is disabled. If the value is
* true, scale in is disabled and the target tracking scaling policy won't remove capacity from
* the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove
* capacity from the scalable target. The default value is false.
*/
public void setDisableScaleIn(Boolean disableScaleIn) {
this.disableScaleIn = disableScaleIn;
}
/**
*
* Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true,
* scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target.
* Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable
* target. The default value is false.
*
*
* @return Indicates whether scale in by the target tracking scaling policy is disabled. If the value is
* true, scale in is disabled and the target tracking scaling policy won't remove capacity from
* the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove
* capacity from the scalable target. The default value is false.
*/
public Boolean getDisableScaleIn() {
return this.disableScaleIn;
}
/**
*
* Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true,
* scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target.
* Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable
* target. The default value is false.
*
*
* @param disableScaleIn
* Indicates whether scale in by the target tracking scaling policy is disabled. If the value is
* true, scale in is disabled and the target tracking scaling policy won't remove capacity from
* the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove
* capacity from the scalable target. The default value is false.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public TargetTrackingScalingPolicyConfiguration withDisableScaleIn(Boolean disableScaleIn) {
setDisableScaleIn(disableScaleIn);
return this;
}
/**
*
* Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true,
* scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target.
* Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable
* target. The default value is false.
*
*
* @return Indicates whether scale in by the target tracking scaling policy is disabled. If the value is
* true, scale in is disabled and the target tracking scaling policy won't remove capacity from
* the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove
* capacity from the scalable target. The default value is false.
*/
public Boolean isDisableScaleIn() {
return this.disableScaleIn;
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getTargetValue() != null)
sb.append("TargetValue: ").append(getTargetValue()).append(",");
if (getPredefinedMetricSpecification() != null)
sb.append("PredefinedMetricSpecification: ").append(getPredefinedMetricSpecification()).append(",");
if (getCustomizedMetricSpecification() != null)
sb.append("CustomizedMetricSpecification: ").append(getCustomizedMetricSpecification()).append(",");
if (getScaleOutCooldown() != null)
sb.append("ScaleOutCooldown: ").append(getScaleOutCooldown()).append(",");
if (getScaleInCooldown() != null)
sb.append("ScaleInCooldown: ").append(getScaleInCooldown()).append(",");
if (getDisableScaleIn() != null)
sb.append("DisableScaleIn: ").append(getDisableScaleIn());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof TargetTrackingScalingPolicyConfiguration == false)
return false;
TargetTrackingScalingPolicyConfiguration other = (TargetTrackingScalingPolicyConfiguration) obj;
if (other.getTargetValue() == null ^ this.getTargetValue() == null)
return false;
if (other.getTargetValue() != null && other.getTargetValue().equals(this.getTargetValue()) == false)
return false;
if (other.getPredefinedMetricSpecification() == null ^ this.getPredefinedMetricSpecification() == null)
return false;
if (other.getPredefinedMetricSpecification() != null
&& other.getPredefinedMetricSpecification().equals(this.getPredefinedMetricSpecification()) == false)
return false;
if (other.getCustomizedMetricSpecification() == null ^ this.getCustomizedMetricSpecification() == null)
return false;
if (other.getCustomizedMetricSpecification() != null
&& other.getCustomizedMetricSpecification().equals(this.getCustomizedMetricSpecification()) == false)
return false;
if (other.getScaleOutCooldown() == null ^ this.getScaleOutCooldown() == null)
return false;
if (other.getScaleOutCooldown() != null && other.getScaleOutCooldown().equals(this.getScaleOutCooldown()) == false)
return false;
if (other.getScaleInCooldown() == null ^ this.getScaleInCooldown() == null)
return false;
if (other.getScaleInCooldown() != null && other.getScaleInCooldown().equals(this.getScaleInCooldown()) == false)
return false;
if (other.getDisableScaleIn() == null ^ this.getDisableScaleIn() == null)
return false;
if (other.getDisableScaleIn() != null && other.getDisableScaleIn().equals(this.getDisableScaleIn()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getTargetValue() == null) ? 0 : getTargetValue().hashCode());
hashCode = prime * hashCode + ((getPredefinedMetricSpecification() == null) ? 0 : getPredefinedMetricSpecification().hashCode());
hashCode = prime * hashCode + ((getCustomizedMetricSpecification() == null) ? 0 : getCustomizedMetricSpecification().hashCode());
hashCode = prime * hashCode + ((getScaleOutCooldown() == null) ? 0 : getScaleOutCooldown().hashCode());
hashCode = prime * hashCode + ((getScaleInCooldown() == null) ? 0 : getScaleInCooldown().hashCode());
hashCode = prime * hashCode + ((getDisableScaleIn() == null) ? 0 : getDisableScaleIn().hashCode());
return hashCode;
}
@Override
public TargetTrackingScalingPolicyConfiguration clone() {
try {
return (TargetTrackingScalingPolicyConfiguration) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.applicationautoscaling.model.transform.TargetTrackingScalingPolicyConfigurationMarshaller.getInstance().marshall(this,
protocolMarshaller);
}
}