startree-threshold-percentile

The column to aggregate. Can be a derived metric.

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The aggregation function to apply on the aggregationColumn. Example: AVG.

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The Pinot datasource to use.

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The dataset to query.

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The period of aggregation of the timeseries. In ISO-8601 format. Example: PT1H.

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Timezone used to group by time. In TZ-identifier format.

For instance, UTC or US/Pacific.

UTC

TimeColumn used to group by time. If set to AUTO (the default value), the Pinot primary time column is used.

AUTO

Required if timeColumn is not AUTO. Learn more.

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The time for your data to be considered complete and ready for anomaly detection. In ISO-8601 format. Example: PT2H. Learn more.

P0D

Filters to apply when fetching data. Prefix with AND. Example: AND country='US'

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Maximum number of timeseries point to fetch.

100000001

The second argument of the aggregationFunction. Example: for PERCENTILETDIGEST: 95.

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If the current value is above this threshold, detect an anomaly.

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If the current value is below this threshold, detect an anomaly.

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Used to ignore anomalies that happen at specific time periods. A list of days. Anomalies happening on these days are ignored if timeOfWeekIgnore is true. Example: ["MONDAY", "SUNDAY"].

[]

Used to ignore anomalies that happen at specific time periods. A list of hours. Anomalies happening on these hours are ignored. Example: [0,1,2,23]

[]

Used to ignore anomalies that happen at specific time periods. A mapping of {DAY: [hours]}. Anomalies happening on these timeframes are ignored if timeOfWeekIgnore is true. Example: {"FRIDAY": [22, 23], "SATURDAY": [0, 1, 2]}

[]

Used to ignore anomalies that don’t meet the guardrail threshold. Minimum threshold of the guardrail metric. If -1, no minimum threshold is applied.

-1

Used to ignore anomalies that don’t meet the guardrail threshold. Maximum threshold of guardrailMetric. If -1, no maximum threshold is applied.

-1

Used to ignore anomalies that don’t meet the guardrail threshold. Metric to use as a threshold guardrail. Example: COUNT(*) and set guardrailMetricMin = 100 to ignore anomalies detected when there is less than 100 observations in the period.

COUNT(*)

Used to ignore anomalies that happen during events. Sql filter to apply on the events. Learn more

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Used to ignore anomalies that happen during events. Offset to apply on startTime and endTime to look around the timeframe. In ISO-8601 format. Example: P1D.

P2D

Used to ignore anomalies that happen during events. List of event types to fetch by. Example: ["HOLIDAY", "DEPLOYMENT"]. [] fetches all events. Use ["__NO_EVENTS"] to disable.

[‘__NO_EVENTS’]

Used to ignore anomalies that happen during events. A period in ISO-8601 format that corresponds to a period that is also impacted by the event. Example: if beforeEventMargin is P1D, if event happens on [Dec 24 0:00, Dec 25 0:00[, the label will be applied to anomalies happening on [Dec 23 0:00 and Dec 25 0:00[

P0D

Used to ignore anomalies that happen during events. Same as eventFilterBeforeEventMargin at the end of the event.

P0D

Use if your data is mutable. ThirdEye will maintain the detection results up to date on the mutable period. For instance, if your last 10 days of data is mutable, set P10D. At each cron detection job, the detection results for the last 10 days will be updated.

P0D

For detection replay when data is mutable. If the percentage difference between an existing anomaly and a new anomaly on the same time frame is above this threshold, renotify. Combined with reNotifyAbsoluteThreshold. Both thresholds must pass to be re-notified. If zero, always renotify. If null or negative, never re-notifies.

-1

For detection replay when data is mutable. If the absolute difference between an existing anomaly and a new anomaly on the same time frame is above this threshold, renotify. Combined with reNotifyPercentageThreshold. Both thresholds must pass to be re-notified. If zero, always renotify. If null or negative, never re-notifies.

-1

Maximum gap between 2 anomalies for anomalies to be merged. In ISO-8601 format. Example: PT2H. The default behavior is to merge consecutive anomalies only. To disable anomaly merging entirely, set this value to P0D.

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Maximum duration of an anomaly merger. At merge time, if an anomaly merger would get bigger than this limit, the anomalies are not merged. In ISO-8601 format. Example: P7D.

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The aggregation function to use for RCA. If the detection metric name is known to ThirdEye, this parameter is optional.

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List of the dimensions (columns in the dataset) to use in RCA drill-downs. If not set or empty, all dimensions of the table are used. Learn more.

[]

List of dimensions (columns in the dataset) to ignore in RCA drill-downs. If not set or empty, all dimensions of the table are used. rcaExcludedDimensions and rcaIncludedDimensions cannot be used at the same time.

[]

A list of type to filter on for RCA. Only events that match such types will be shown in the RCA related events tab. Learn more.

[]

A Sql filter for RCA events. Only events that match the filter will be shown in the RCA related events tab. Learn more.

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