com.amazonaws.services.applicationautoscaling.model.StepScalingPolicyConfiguration Maven / Gradle / Ivy
Show all versions of aws-java-sdk-applicationautoscaling Show documentation
/*
* 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 step scaling policy configuration to use with Application Auto Scaling.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class StepScalingPolicyConfiguration implements Serializable, Cloneable, StructuredPojo {
/**
*
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
*
*/
private String adjustmentType;
/**
*
* A set of adjustments that enable you to scale based on the size of the alarm breach.
*
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
*
*/
private java.util.List stepAdjustments;
/**
*
* The minimum value to scale by when scaling by percentages. For example, suppose that you create a step scaling
* policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of
* 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you
* specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
*
*
* Valid only if the adjustment type is PercentChangeInCapacity.
*
*/
private Integer minAdjustmentMagnitude;
/**
*
* The amount of time, in seconds, to wait for a previous scaling activity to take effect.
*
*
* With scale-out policies, the intention is to continuously (but not excessively) scale out. After Application Auto
* Scaling successfully scales out using a step scaling policy, it starts to calculate the cooldown time. While the
* cooldown period is in effect, capacity added by the initiating scale-out activity is calculated as part of the
* desired capacity for the next scale-out activity. For example, when an alarm triggers a step scaling policy to
* increase the capacity by 2, the scaling activity completes successfully, and a cooldown period starts. If the
* alarm triggers again during the cooldown period but at a more aggressive step adjustment of 3, the previous
* increase of 2 is considered part of the current capacity. Therefore, only 1 is added to the capacity.
*
*
* With scale-in policies, 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 cooldown period after a scale-in activity, Application Auto Scaling scales out the
* target immediately. In this case, the cooldown period for the scale-in activity 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 cooldown;
/**
*
* The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and
* Average. If the aggregation type is null, the value is treated as Average.
*
*/
private String metricAggregationType;
/**
*
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
*
*
* @param adjustmentType
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
* @see AdjustmentType
*/
public void setAdjustmentType(String adjustmentType) {
this.adjustmentType = adjustmentType;
}
/**
*
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
*
*
* @return Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
* @see AdjustmentType
*/
public String getAdjustmentType() {
return this.adjustmentType;
}
/**
*
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
*
*
* @param adjustmentType
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AdjustmentType
*/
public StepScalingPolicyConfiguration withAdjustmentType(String adjustmentType) {
setAdjustmentType(adjustmentType);
return this;
}
/**
*
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
*
*
* @param adjustmentType
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
* @see AdjustmentType
*/
public void setAdjustmentType(AdjustmentType adjustmentType) {
withAdjustmentType(adjustmentType);
}
/**
*
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
*
*
* @param adjustmentType
* Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.
*
* AdjustmentType is required if you are adding a new step scaling policy configuration.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AdjustmentType
*/
public StepScalingPolicyConfiguration withAdjustmentType(AdjustmentType adjustmentType) {
this.adjustmentType = adjustmentType.toString();
return this;
}
/**
*
* A set of adjustments that enable you to scale based on the size of the alarm breach.
*
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
*
*
* @return A set of adjustments that enable you to scale based on the size of the alarm breach.
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
*/
public java.util.List getStepAdjustments() {
return stepAdjustments;
}
/**
*
* A set of adjustments that enable you to scale based on the size of the alarm breach.
*
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
*
*
* @param stepAdjustments
* A set of adjustments that enable you to scale based on the size of the alarm breach.
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
*/
public void setStepAdjustments(java.util.Collection stepAdjustments) {
if (stepAdjustments == null) {
this.stepAdjustments = null;
return;
}
this.stepAdjustments = new java.util.ArrayList(stepAdjustments);
}
/**
*
* A set of adjustments that enable you to scale based on the size of the alarm breach.
*
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setStepAdjustments(java.util.Collection)} or {@link #withStepAdjustments(java.util.Collection)} if you
* want to override the existing values.
*
*
* @param stepAdjustments
* A set of adjustments that enable you to scale based on the size of the alarm breach.
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public StepScalingPolicyConfiguration withStepAdjustments(StepAdjustment... stepAdjustments) {
if (this.stepAdjustments == null) {
setStepAdjustments(new java.util.ArrayList(stepAdjustments.length));
}
for (StepAdjustment ele : stepAdjustments) {
this.stepAdjustments.add(ele);
}
return this;
}
/**
*
* A set of adjustments that enable you to scale based on the size of the alarm breach.
*
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
*
*
* @param stepAdjustments
* A set of adjustments that enable you to scale based on the size of the alarm breach.
*
* At least one step adjustment is required if you are adding a new step scaling policy configuration.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public StepScalingPolicyConfiguration withStepAdjustments(java.util.Collection stepAdjustments) {
setStepAdjustments(stepAdjustments);
return this;
}
/**
*
* The minimum value to scale by when scaling by percentages. For example, suppose that you create a step scaling
* policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of
* 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you
* specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
*
*
* Valid only if the adjustment type is PercentChangeInCapacity.
*
*
* @param minAdjustmentMagnitude
* The minimum value to scale by when scaling by percentages. For example, suppose that you create a step
* scaling policy to scale out an Amazon ECS service by 25 percent and you specify a
* MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed,
* 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2,
* Application Auto Scaling scales out the service by 2 tasks.
*
* Valid only if the adjustment type is PercentChangeInCapacity.
*/
public void setMinAdjustmentMagnitude(Integer minAdjustmentMagnitude) {
this.minAdjustmentMagnitude = minAdjustmentMagnitude;
}
/**
*
* The minimum value to scale by when scaling by percentages. For example, suppose that you create a step scaling
* policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of
* 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you
* specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
*
*
* Valid only if the adjustment type is PercentChangeInCapacity.
*
*
* @return The minimum value to scale by when scaling by percentages. For example, suppose that you create a step
* scaling policy to scale out an Amazon ECS service by 25 percent and you specify a
* MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed,
* 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2,
* Application Auto Scaling scales out the service by 2 tasks.
*
* Valid only if the adjustment type is PercentChangeInCapacity.
*/
public Integer getMinAdjustmentMagnitude() {
return this.minAdjustmentMagnitude;
}
/**
*
* The minimum value to scale by when scaling by percentages. For example, suppose that you create a step scaling
* policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of
* 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you
* specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
*
*
* Valid only if the adjustment type is PercentChangeInCapacity.
*
*
* @param minAdjustmentMagnitude
* The minimum value to scale by when scaling by percentages. For example, suppose that you create a step
* scaling policy to scale out an Amazon ECS service by 25 percent and you specify a
* MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed,
* 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2,
* Application Auto Scaling scales out the service by 2 tasks.
*
* Valid only if the adjustment type is PercentChangeInCapacity.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public StepScalingPolicyConfiguration withMinAdjustmentMagnitude(Integer minAdjustmentMagnitude) {
setMinAdjustmentMagnitude(minAdjustmentMagnitude);
return this;
}
/**
*
* The amount of time, in seconds, to wait for a previous scaling activity to take effect.
*
*
* With scale-out policies, the intention is to continuously (but not excessively) scale out. After Application Auto
* Scaling successfully scales out using a step scaling policy, it starts to calculate the cooldown time. While the
* cooldown period is in effect, capacity added by the initiating scale-out activity is calculated as part of the
* desired capacity for the next scale-out activity. For example, when an alarm triggers a step scaling policy to
* increase the capacity by 2, the scaling activity completes successfully, and a cooldown period starts. If the
* alarm triggers again during the cooldown period but at a more aggressive step adjustment of 3, the previous
* increase of 2 is considered part of the current capacity. Therefore, only 1 is added to the capacity.
*
*
* With scale-in policies, 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 cooldown period after a scale-in activity, Application Auto Scaling scales out the
* target immediately. In this case, the cooldown period for the scale-in activity 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 cooldown
* The amount of time, in seconds, to wait for a previous scaling activity to take effect.
*
* With scale-out policies, the intention is to continuously (but not excessively) scale out. After
* Application Auto Scaling successfully scales out using a step scaling policy, it starts to calculate the
* cooldown time. While the cooldown period is in effect, capacity added by the initiating scale-out activity
* is calculated as part of the desired capacity for the next scale-out activity. For example, when an alarm
* triggers a step scaling policy to increase the capacity by 2, the scaling activity completes successfully,
* and a cooldown period starts. If the alarm triggers again during the cooldown period but at a more
* aggressive step adjustment of 3, the previous increase of 2 is considered part of the current capacity.
* Therefore, only 1 is added to the capacity.
*
*
* With scale-in policies, 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 cooldown period after a scale-in activity,
* Application Auto Scaling scales out the target immediately. In this case, the cooldown period for the
* scale-in activity 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 setCooldown(Integer cooldown) {
this.cooldown = cooldown;
}
/**
*
* The amount of time, in seconds, to wait for a previous scaling activity to take effect.
*
*
* With scale-out policies, the intention is to continuously (but not excessively) scale out. After Application Auto
* Scaling successfully scales out using a step scaling policy, it starts to calculate the cooldown time. While the
* cooldown period is in effect, capacity added by the initiating scale-out activity is calculated as part of the
* desired capacity for the next scale-out activity. For example, when an alarm triggers a step scaling policy to
* increase the capacity by 2, the scaling activity completes successfully, and a cooldown period starts. If the
* alarm triggers again during the cooldown period but at a more aggressive step adjustment of 3, the previous
* increase of 2 is considered part of the current capacity. Therefore, only 1 is added to the capacity.
*
*
* With scale-in policies, 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 cooldown period after a scale-in activity, Application Auto Scaling scales out the
* target immediately. In this case, the cooldown period for the scale-in activity 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, to wait for a previous scaling activity to take effect.
*
* With scale-out policies, the intention is to continuously (but not excessively) scale out. After
* Application Auto Scaling successfully scales out using a step scaling policy, it starts to calculate the
* cooldown time. While the cooldown period is in effect, capacity added by the initiating scale-out
* activity is calculated as part of the desired capacity for the next scale-out activity. For example, when
* an alarm triggers a step scaling policy to increase the capacity by 2, the scaling activity completes
* successfully, and a cooldown period starts. If the alarm triggers again during the cooldown period but at
* a more aggressive step adjustment of 3, the previous increase of 2 is considered part of the current
* capacity. Therefore, only 1 is added to the capacity.
*
*
* With scale-in policies, 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 cooldown period after a scale-in activity,
* Application Auto Scaling scales out the target immediately. In this case, the cooldown period for the
* scale-in activity 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 getCooldown() {
return this.cooldown;
}
/**
*
* The amount of time, in seconds, to wait for a previous scaling activity to take effect.
*
*
* With scale-out policies, the intention is to continuously (but not excessively) scale out. After Application Auto
* Scaling successfully scales out using a step scaling policy, it starts to calculate the cooldown time. While the
* cooldown period is in effect, capacity added by the initiating scale-out activity is calculated as part of the
* desired capacity for the next scale-out activity. For example, when an alarm triggers a step scaling policy to
* increase the capacity by 2, the scaling activity completes successfully, and a cooldown period starts. If the
* alarm triggers again during the cooldown period but at a more aggressive step adjustment of 3, the previous
* increase of 2 is considered part of the current capacity. Therefore, only 1 is added to the capacity.
*
*
* With scale-in policies, 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 cooldown period after a scale-in activity, Application Auto Scaling scales out the
* target immediately. In this case, the cooldown period for the scale-in activity 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 cooldown
* The amount of time, in seconds, to wait for a previous scaling activity to take effect.
*
* With scale-out policies, the intention is to continuously (but not excessively) scale out. After
* Application Auto Scaling successfully scales out using a step scaling policy, it starts to calculate the
* cooldown time. While the cooldown period is in effect, capacity added by the initiating scale-out activity
* is calculated as part of the desired capacity for the next scale-out activity. For example, when an alarm
* triggers a step scaling policy to increase the capacity by 2, the scaling activity completes successfully,
* and a cooldown period starts. If the alarm triggers again during the cooldown period but at a more
* aggressive step adjustment of 3, the previous increase of 2 is considered part of the current capacity.
* Therefore, only 1 is added to the capacity.
*
*
* With scale-in policies, 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 cooldown period after a scale-in activity,
* Application Auto Scaling scales out the target immediately. In this case, the cooldown period for the
* scale-in activity 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 StepScalingPolicyConfiguration withCooldown(Integer cooldown) {
setCooldown(cooldown);
return this;
}
/**
*
* The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and
* Average. If the aggregation type is null, the value is treated as Average.
*
*
* @param metricAggregationType
* The aggregation type for the CloudWatch metrics. Valid values are Minimum,
* Maximum, and Average. If the aggregation type is null, the value is treated as
* Average.
* @see MetricAggregationType
*/
public void setMetricAggregationType(String metricAggregationType) {
this.metricAggregationType = metricAggregationType;
}
/**
*
* The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and
* Average. If the aggregation type is null, the value is treated as Average.
*
*
* @return The aggregation type for the CloudWatch metrics. Valid values are Minimum,
* Maximum, and Average. If the aggregation type is null, the value is treated as
* Average.
* @see MetricAggregationType
*/
public String getMetricAggregationType() {
return this.metricAggregationType;
}
/**
*
* The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and
* Average. If the aggregation type is null, the value is treated as Average.
*
*
* @param metricAggregationType
* The aggregation type for the CloudWatch metrics. Valid values are Minimum,
* Maximum, and Average. If the aggregation type is null, the value is treated as
* Average.
* @return Returns a reference to this object so that method calls can be chained together.
* @see MetricAggregationType
*/
public StepScalingPolicyConfiguration withMetricAggregationType(String metricAggregationType) {
setMetricAggregationType(metricAggregationType);
return this;
}
/**
*
* The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and
* Average. If the aggregation type is null, the value is treated as Average.
*
*
* @param metricAggregationType
* The aggregation type for the CloudWatch metrics. Valid values are Minimum,
* Maximum, and Average. If the aggregation type is null, the value is treated as
* Average.
* @see MetricAggregationType
*/
public void setMetricAggregationType(MetricAggregationType metricAggregationType) {
withMetricAggregationType(metricAggregationType);
}
/**
*
* The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and
* Average. If the aggregation type is null, the value is treated as Average.
*
*
* @param metricAggregationType
* The aggregation type for the CloudWatch metrics. Valid values are Minimum,
* Maximum, and Average. If the aggregation type is null, the value is treated as
* Average.
* @return Returns a reference to this object so that method calls can be chained together.
* @see MetricAggregationType
*/
public StepScalingPolicyConfiguration withMetricAggregationType(MetricAggregationType metricAggregationType) {
this.metricAggregationType = metricAggregationType.toString();
return this;
}
/**
* 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 (getAdjustmentType() != null)
sb.append("AdjustmentType: ").append(getAdjustmentType()).append(",");
if (getStepAdjustments() != null)
sb.append("StepAdjustments: ").append(getStepAdjustments()).append(",");
if (getMinAdjustmentMagnitude() != null)
sb.append("MinAdjustmentMagnitude: ").append(getMinAdjustmentMagnitude()).append(",");
if (getCooldown() != null)
sb.append("Cooldown: ").append(getCooldown()).append(",");
if (getMetricAggregationType() != null)
sb.append("MetricAggregationType: ").append(getMetricAggregationType());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof StepScalingPolicyConfiguration == false)
return false;
StepScalingPolicyConfiguration other = (StepScalingPolicyConfiguration) obj;
if (other.getAdjustmentType() == null ^ this.getAdjustmentType() == null)
return false;
if (other.getAdjustmentType() != null && other.getAdjustmentType().equals(this.getAdjustmentType()) == false)
return false;
if (other.getStepAdjustments() == null ^ this.getStepAdjustments() == null)
return false;
if (other.getStepAdjustments() != null && other.getStepAdjustments().equals(this.getStepAdjustments()) == false)
return false;
if (other.getMinAdjustmentMagnitude() == null ^ this.getMinAdjustmentMagnitude() == null)
return false;
if (other.getMinAdjustmentMagnitude() != null && other.getMinAdjustmentMagnitude().equals(this.getMinAdjustmentMagnitude()) == false)
return false;
if (other.getCooldown() == null ^ this.getCooldown() == null)
return false;
if (other.getCooldown() != null && other.getCooldown().equals(this.getCooldown()) == false)
return false;
if (other.getMetricAggregationType() == null ^ this.getMetricAggregationType() == null)
return false;
if (other.getMetricAggregationType() != null && other.getMetricAggregationType().equals(this.getMetricAggregationType()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getAdjustmentType() == null) ? 0 : getAdjustmentType().hashCode());
hashCode = prime * hashCode + ((getStepAdjustments() == null) ? 0 : getStepAdjustments().hashCode());
hashCode = prime * hashCode + ((getMinAdjustmentMagnitude() == null) ? 0 : getMinAdjustmentMagnitude().hashCode());
hashCode = prime * hashCode + ((getCooldown() == null) ? 0 : getCooldown().hashCode());
hashCode = prime * hashCode + ((getMetricAggregationType() == null) ? 0 : getMetricAggregationType().hashCode());
return hashCode;
}
@Override
public StepScalingPolicyConfiguration clone() {
try {
return (StepScalingPolicyConfiguration) 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.StepScalingPolicyConfigurationMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}