com.amazonaws.services.finspace.model.AutoScalingConfiguration Maven / Gradle / Ivy
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/*
* Copyright 2019-2024 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.finspace.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* The configuration based on which FinSpace will scale in or scale out nodes in your cluster.
*
*
* @see AWS
* API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class AutoScalingConfiguration implements Serializable, Cloneable, StructuredPojo {
/**
*
* The lowest number of nodes to scale. This value must be at least 1 and less than the maxNodeCount.
* If the nodes in a cluster belong to multiple availability zones, then minNodeCount must be at least
* 3.
*
*/
private Integer minNodeCount;
/**
*
* The highest number of nodes to scale. This value cannot be greater than 5.
*
*/
private Integer maxNodeCount;
/**
*
* The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
*
*/
private String autoScalingMetric;
/**
*
* The desired value of the chosen autoScalingMetric. When the metric drops below this value, the
* cluster will scale in. When the metric goes above this value, the cluster will scale out. You can set the target
* value between 1 and 100 percent.
*
*/
private Double metricTarget;
/**
*
* The duration in seconds that FinSpace will wait after a scale in event before initiating another scaling event.
*
*/
private Double scaleInCooldownSeconds;
/**
*
* The duration in seconds that FinSpace will wait after a scale out event before initiating another scaling event.
*
*/
private Double scaleOutCooldownSeconds;
/**
*
* The lowest number of nodes to scale. This value must be at least 1 and less than the maxNodeCount.
* If the nodes in a cluster belong to multiple availability zones, then minNodeCount must be at least
* 3.
*
*
* @param minNodeCount
* The lowest number of nodes to scale. This value must be at least 1 and less than the
* maxNodeCount. If the nodes in a cluster belong to multiple availability zones, then
* minNodeCount must be at least 3.
*/
public void setMinNodeCount(Integer minNodeCount) {
this.minNodeCount = minNodeCount;
}
/**
*
* The lowest number of nodes to scale. This value must be at least 1 and less than the maxNodeCount.
* If the nodes in a cluster belong to multiple availability zones, then minNodeCount must be at least
* 3.
*
*
* @return The lowest number of nodes to scale. This value must be at least 1 and less than the
* maxNodeCount. If the nodes in a cluster belong to multiple availability zones, then
* minNodeCount must be at least 3.
*/
public Integer getMinNodeCount() {
return this.minNodeCount;
}
/**
*
* The lowest number of nodes to scale. This value must be at least 1 and less than the maxNodeCount.
* If the nodes in a cluster belong to multiple availability zones, then minNodeCount must be at least
* 3.
*
*
* @param minNodeCount
* The lowest number of nodes to scale. This value must be at least 1 and less than the
* maxNodeCount. If the nodes in a cluster belong to multiple availability zones, then
* minNodeCount must be at least 3.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public AutoScalingConfiguration withMinNodeCount(Integer minNodeCount) {
setMinNodeCount(minNodeCount);
return this;
}
/**
*
* The highest number of nodes to scale. This value cannot be greater than 5.
*
*
* @param maxNodeCount
* The highest number of nodes to scale. This value cannot be greater than 5.
*/
public void setMaxNodeCount(Integer maxNodeCount) {
this.maxNodeCount = maxNodeCount;
}
/**
*
* The highest number of nodes to scale. This value cannot be greater than 5.
*
*
* @return The highest number of nodes to scale. This value cannot be greater than 5.
*/
public Integer getMaxNodeCount() {
return this.maxNodeCount;
}
/**
*
* The highest number of nodes to scale. This value cannot be greater than 5.
*
*
* @param maxNodeCount
* The highest number of nodes to scale. This value cannot be greater than 5.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public AutoScalingConfiguration withMaxNodeCount(Integer maxNodeCount) {
setMaxNodeCount(maxNodeCount);
return this;
}
/**
*
* The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
*
*
* @param autoScalingMetric
* The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
* @see AutoScalingMetric
*/
public void setAutoScalingMetric(String autoScalingMetric) {
this.autoScalingMetric = autoScalingMetric;
}
/**
*
* The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
*
*
* @return The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
* @see AutoScalingMetric
*/
public String getAutoScalingMetric() {
return this.autoScalingMetric;
}
/**
*
* The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
*
*
* @param autoScalingMetric
* The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AutoScalingMetric
*/
public AutoScalingConfiguration withAutoScalingMetric(String autoScalingMetric) {
setAutoScalingMetric(autoScalingMetric);
return this;
}
/**
*
* The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
*
*
* @param autoScalingMetric
* The metric your cluster will track in order to scale in and out. For example,
* CPU_UTILIZATION_PERCENTAGE is the average CPU usage across all the nodes in a cluster.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AutoScalingMetric
*/
public AutoScalingConfiguration withAutoScalingMetric(AutoScalingMetric autoScalingMetric) {
this.autoScalingMetric = autoScalingMetric.toString();
return this;
}
/**
*
* The desired value of the chosen autoScalingMetric. When the metric drops below this value, the
* cluster will scale in. When the metric goes above this value, the cluster will scale out. You can set the target
* value between 1 and 100 percent.
*
*
* @param metricTarget
* The desired value of the chosen autoScalingMetric. When the metric drops below this value,
* the cluster will scale in. When the metric goes above this value, the cluster will scale out. You can set
* the target value between 1 and 100 percent.
*/
public void setMetricTarget(Double metricTarget) {
this.metricTarget = metricTarget;
}
/**
*
* The desired value of the chosen autoScalingMetric. When the metric drops below this value, the
* cluster will scale in. When the metric goes above this value, the cluster will scale out. You can set the target
* value between 1 and 100 percent.
*
*
* @return The desired value of the chosen autoScalingMetric. When the metric drops below this value,
* the cluster will scale in. When the metric goes above this value, the cluster will scale out. You can set
* the target value between 1 and 100 percent.
*/
public Double getMetricTarget() {
return this.metricTarget;
}
/**
*
* The desired value of the chosen autoScalingMetric. When the metric drops below this value, the
* cluster will scale in. When the metric goes above this value, the cluster will scale out. You can set the target
* value between 1 and 100 percent.
*
*
* @param metricTarget
* The desired value of the chosen autoScalingMetric. When the metric drops below this value,
* the cluster will scale in. When the metric goes above this value, the cluster will scale out. You can set
* the target value between 1 and 100 percent.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public AutoScalingConfiguration withMetricTarget(Double metricTarget) {
setMetricTarget(metricTarget);
return this;
}
/**
*
* The duration in seconds that FinSpace will wait after a scale in event before initiating another scaling event.
*
*
* @param scaleInCooldownSeconds
* The duration in seconds that FinSpace will wait after a scale in event before initiating another scaling
* event.
*/
public void setScaleInCooldownSeconds(Double scaleInCooldownSeconds) {
this.scaleInCooldownSeconds = scaleInCooldownSeconds;
}
/**
*
* The duration in seconds that FinSpace will wait after a scale in event before initiating another scaling event.
*
*
* @return The duration in seconds that FinSpace will wait after a scale in event before initiating another scaling
* event.
*/
public Double getScaleInCooldownSeconds() {
return this.scaleInCooldownSeconds;
}
/**
*
* The duration in seconds that FinSpace will wait after a scale in event before initiating another scaling event.
*
*
* @param scaleInCooldownSeconds
* The duration in seconds that FinSpace will wait after a scale in event before initiating another scaling
* event.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public AutoScalingConfiguration withScaleInCooldownSeconds(Double scaleInCooldownSeconds) {
setScaleInCooldownSeconds(scaleInCooldownSeconds);
return this;
}
/**
*
* The duration in seconds that FinSpace will wait after a scale out event before initiating another scaling event.
*
*
* @param scaleOutCooldownSeconds
* The duration in seconds that FinSpace will wait after a scale out event before initiating another scaling
* event.
*/
public void setScaleOutCooldownSeconds(Double scaleOutCooldownSeconds) {
this.scaleOutCooldownSeconds = scaleOutCooldownSeconds;
}
/**
*
* The duration in seconds that FinSpace will wait after a scale out event before initiating another scaling event.
*
*
* @return The duration in seconds that FinSpace will wait after a scale out event before initiating another scaling
* event.
*/
public Double getScaleOutCooldownSeconds() {
return this.scaleOutCooldownSeconds;
}
/**
*
* The duration in seconds that FinSpace will wait after a scale out event before initiating another scaling event.
*
*
* @param scaleOutCooldownSeconds
* The duration in seconds that FinSpace will wait after a scale out event before initiating another scaling
* event.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public AutoScalingConfiguration withScaleOutCooldownSeconds(Double scaleOutCooldownSeconds) {
setScaleOutCooldownSeconds(scaleOutCooldownSeconds);
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 (getMinNodeCount() != null)
sb.append("MinNodeCount: ").append(getMinNodeCount()).append(",");
if (getMaxNodeCount() != null)
sb.append("MaxNodeCount: ").append(getMaxNodeCount()).append(",");
if (getAutoScalingMetric() != null)
sb.append("AutoScalingMetric: ").append(getAutoScalingMetric()).append(",");
if (getMetricTarget() != null)
sb.append("MetricTarget: ").append(getMetricTarget()).append(",");
if (getScaleInCooldownSeconds() != null)
sb.append("ScaleInCooldownSeconds: ").append(getScaleInCooldownSeconds()).append(",");
if (getScaleOutCooldownSeconds() != null)
sb.append("ScaleOutCooldownSeconds: ").append(getScaleOutCooldownSeconds());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof AutoScalingConfiguration == false)
return false;
AutoScalingConfiguration other = (AutoScalingConfiguration) obj;
if (other.getMinNodeCount() == null ^ this.getMinNodeCount() == null)
return false;
if (other.getMinNodeCount() != null && other.getMinNodeCount().equals(this.getMinNodeCount()) == false)
return false;
if (other.getMaxNodeCount() == null ^ this.getMaxNodeCount() == null)
return false;
if (other.getMaxNodeCount() != null && other.getMaxNodeCount().equals(this.getMaxNodeCount()) == false)
return false;
if (other.getAutoScalingMetric() == null ^ this.getAutoScalingMetric() == null)
return false;
if (other.getAutoScalingMetric() != null && other.getAutoScalingMetric().equals(this.getAutoScalingMetric()) == false)
return false;
if (other.getMetricTarget() == null ^ this.getMetricTarget() == null)
return false;
if (other.getMetricTarget() != null && other.getMetricTarget().equals(this.getMetricTarget()) == false)
return false;
if (other.getScaleInCooldownSeconds() == null ^ this.getScaleInCooldownSeconds() == null)
return false;
if (other.getScaleInCooldownSeconds() != null && other.getScaleInCooldownSeconds().equals(this.getScaleInCooldownSeconds()) == false)
return false;
if (other.getScaleOutCooldownSeconds() == null ^ this.getScaleOutCooldownSeconds() == null)
return false;
if (other.getScaleOutCooldownSeconds() != null && other.getScaleOutCooldownSeconds().equals(this.getScaleOutCooldownSeconds()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getMinNodeCount() == null) ? 0 : getMinNodeCount().hashCode());
hashCode = prime * hashCode + ((getMaxNodeCount() == null) ? 0 : getMaxNodeCount().hashCode());
hashCode = prime * hashCode + ((getAutoScalingMetric() == null) ? 0 : getAutoScalingMetric().hashCode());
hashCode = prime * hashCode + ((getMetricTarget() == null) ? 0 : getMetricTarget().hashCode());
hashCode = prime * hashCode + ((getScaleInCooldownSeconds() == null) ? 0 : getScaleInCooldownSeconds().hashCode());
hashCode = prime * hashCode + ((getScaleOutCooldownSeconds() == null) ? 0 : getScaleOutCooldownSeconds().hashCode());
return hashCode;
}
@Override
public AutoScalingConfiguration clone() {
try {
return (AutoScalingConfiguration) 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.finspace.model.transform.AutoScalingConfigurationMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}