AnomalyDetectorMetricSetArgs

data class AnomalyDetectorMetricSetArgs(val dimensionList: Output<List<String>>? = null, val metricList: Output<List<AnomalyDetectorMetricArgs>>, val metricSetDescription: Output<String>? = null, val metricSetFrequency: Output<AnomalyDetectorMetricSetMetricSetFrequency>? = null, val metricSetName: Output<String>, val metricSource: Output<AnomalyDetectorMetricSourceArgs>, val offset: Output<Int>? = null, val timestampColumn: Output<AnomalyDetectorTimestampColumnArgs>? = null, val timezone: Output<String>? = null) : ConvertibleToJava<AnomalyDetectorMetricSetArgs>

Constructors

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constructor(dimensionList: Output<List<String>>? = null, metricList: Output<List<AnomalyDetectorMetricArgs>>, metricSetDescription: Output<String>? = null, metricSetFrequency: Output<AnomalyDetectorMetricSetMetricSetFrequency>? = null, metricSetName: Output<String>, metricSource: Output<AnomalyDetectorMetricSourceArgs>, offset: Output<Int>? = null, timestampColumn: Output<AnomalyDetectorTimestampColumnArgs>? = null, timezone: Output<String>? = null)

Properties

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val dimensionList: Output<List<String>>? = null

Dimensions for this MetricSet.

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Metrics captured by this MetricSet.

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val metricSetDescription: Output<String>? = null

A description for the MetricSet.

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A frequency period to aggregate the data

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val metricSetName: Output<String>

The name of the MetricSet.

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Contains information about how the source data should be interpreted.

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val offset: Output<Int>? = null

Offset, in seconds, between the frequency interval and the time at which the metrics are available.

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Contains information about the column used for tracking time in your source data.

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val timezone: Output<String>? = null

The time zone in which your source data was recorded.

Functions

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open override fun toJava(): AnomalyDetectorMetricSetArgs