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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.cloudwatch.model;

import java.io.Serializable;
import javax.annotation.Generated;

/**
 * 

* Indicates the CloudWatch math expression that provides the time series the anomaly detector uses as input. The * designated math expression must return a single time series. *

* * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class MetricMathAnomalyDetector implements Serializable, Cloneable { /** *

* An array of metric data query structures that enables you to create an anomaly detector based on the result of a * metric math expression. Each item in MetricDataQueries gets a metric or performs a math expression. * One item in MetricDataQueries is the expression that provides the time series that the anomaly * detector uses as input. Designate the expression by setting ReturnData to true for this * object in the array. For all other expressions and metrics, set ReturnData to false. * The designated expression must return a single time series. *

*/ private com.amazonaws.internal.SdkInternalList metricDataQueries; /** *

* An array of metric data query structures that enables you to create an anomaly detector based on the result of a * metric math expression. Each item in MetricDataQueries gets a metric or performs a math expression. * One item in MetricDataQueries is the expression that provides the time series that the anomaly * detector uses as input. Designate the expression by setting ReturnData to true for this * object in the array. For all other expressions and metrics, set ReturnData to false. * The designated expression must return a single time series. *

* * @return An array of metric data query structures that enables you to create an anomaly detector based on the * result of a metric math expression. Each item in MetricDataQueries gets a metric or performs * a math expression. One item in MetricDataQueries is the expression that provides the time * series that the anomaly detector uses as input. Designate the expression by setting * ReturnData to true for this object in the array. For all other expressions and * metrics, set ReturnData to false. The designated expression must return a * single time series. */ public java.util.List getMetricDataQueries() { if (metricDataQueries == null) { metricDataQueries = new com.amazonaws.internal.SdkInternalList(); } return metricDataQueries; } /** *

* An array of metric data query structures that enables you to create an anomaly detector based on the result of a * metric math expression. Each item in MetricDataQueries gets a metric or performs a math expression. * One item in MetricDataQueries is the expression that provides the time series that the anomaly * detector uses as input. Designate the expression by setting ReturnData to true for this * object in the array. For all other expressions and metrics, set ReturnData to false. * The designated expression must return a single time series. *

* * @param metricDataQueries * An array of metric data query structures that enables you to create an anomaly detector based on the * result of a metric math expression. Each item in MetricDataQueries gets a metric or performs * a math expression. One item in MetricDataQueries is the expression that provides the time * series that the anomaly detector uses as input. Designate the expression by setting * ReturnData to true for this object in the array. For all other expressions and * metrics, set ReturnData to false. The designated expression must return a single * time series. */ public void setMetricDataQueries(java.util.Collection metricDataQueries) { if (metricDataQueries == null) { this.metricDataQueries = null; return; } this.metricDataQueries = new com.amazonaws.internal.SdkInternalList(metricDataQueries); } /** *

* An array of metric data query structures that enables you to create an anomaly detector based on the result of a * metric math expression. Each item in MetricDataQueries gets a metric or performs a math expression. * One item in MetricDataQueries is the expression that provides the time series that the anomaly * detector uses as input. Designate the expression by setting ReturnData to true for this * object in the array. For all other expressions and metrics, set ReturnData to false. * The designated expression must return a single time series. *

*

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setMetricDataQueries(java.util.Collection)} or {@link #withMetricDataQueries(java.util.Collection)} if * you want to override the existing values. *

* * @param metricDataQueries * An array of metric data query structures that enables you to create an anomaly detector based on the * result of a metric math expression. Each item in MetricDataQueries gets a metric or performs * a math expression. One item in MetricDataQueries is the expression that provides the time * series that the anomaly detector uses as input. Designate the expression by setting * ReturnData to true for this object in the array. For all other expressions and * metrics, set ReturnData to false. The designated expression must return a single * time series. * @return Returns a reference to this object so that method calls can be chained together. */ public MetricMathAnomalyDetector withMetricDataQueries(MetricDataQuery... metricDataQueries) { if (this.metricDataQueries == null) { setMetricDataQueries(new com.amazonaws.internal.SdkInternalList(metricDataQueries.length)); } for (MetricDataQuery ele : metricDataQueries) { this.metricDataQueries.add(ele); } return this; } /** *

* An array of metric data query structures that enables you to create an anomaly detector based on the result of a * metric math expression. Each item in MetricDataQueries gets a metric or performs a math expression. * One item in MetricDataQueries is the expression that provides the time series that the anomaly * detector uses as input. Designate the expression by setting ReturnData to true for this * object in the array. For all other expressions and metrics, set ReturnData to false. * The designated expression must return a single time series. *

* * @param metricDataQueries * An array of metric data query structures that enables you to create an anomaly detector based on the * result of a metric math expression. Each item in MetricDataQueries gets a metric or performs * a math expression. One item in MetricDataQueries is the expression that provides the time * series that the anomaly detector uses as input. Designate the expression by setting * ReturnData to true for this object in the array. For all other expressions and * metrics, set ReturnData to false. The designated expression must return a single * time series. * @return Returns a reference to this object so that method calls can be chained together. */ public MetricMathAnomalyDetector withMetricDataQueries(java.util.Collection metricDataQueries) { setMetricDataQueries(metricDataQueries); 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 (getMetricDataQueries() != null) sb.append("MetricDataQueries: ").append(getMetricDataQueries()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof MetricMathAnomalyDetector == false) return false; MetricMathAnomalyDetector other = (MetricMathAnomalyDetector) obj; if (other.getMetricDataQueries() == null ^ this.getMetricDataQueries() == null) return false; if (other.getMetricDataQueries() != null && other.getMetricDataQueries().equals(this.getMetricDataQueries()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getMetricDataQueries() == null) ? 0 : getMetricDataQueries().hashCode()); return hashCode; } @Override public MetricMathAnomalyDetector clone() { try { return (MetricMathAnomalyDetector) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } }




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