Type Members

1.  case class Average(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable
2.  case class Count(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable

   Counts the number of data points

3.  case class Diff() extends Aggregator with Product with Serializable

   Computes the difference between successive data points

4.  case class Divide(divisor: Double) extends Aggregator with Product with Serializable

   Returns each data point divided by a divisor.

   Returns each data point divided by a divisor. Requires a “divisor” property which is the value that all data points will be divided by.

5.  case class Filter(operator: String, threshold: KairosCompatibleType) extends Aggregator with Product with Serializable
6.  case class First(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable

   Returns the first data point for the interval

7.  case class Gaps(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable

   Marks gaps in data according to sampling rate with a null data point

8.  case class Last(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable

   Returns the last data point for the interval

9.  case class LeastSquares(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable
10.  case class Max(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable
11.  case class Min(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable
12.  case class Percentile(percentile: Double, sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable

    Finds the percentile of the data range.

    Finds the percentile of the data range. Calculates a probability distribution and returns the specified percentile for the distribution.

    percentile

    Defined as 0 < percentile <= 1 where .5 is 50% and 1 is 100%

13.  case class Rate(unit: TimeUnit, sampling: TimeRange, timezone: Option[String]) extends Aggregator with Product with Serializable

    Returns the rate of change between a pair of data points.

    Returns the rate of change between a pair of data points. Requires a “unit” property which is the sampling duration (ie rate in seconds, milliseconds, minutes, etc...).

14.  case class Sampler(unit: TimeUnit, timezone: Option[String]) extends Aggregator with Product with Serializable

    Computes the sampling rate of change for the data points

    Computes the sampling rate of change for the data points

    unit

    Sets the sampling unit. If you set the unit to SECONDS then the sampling rate is over one second

15.  case class SaveAs(metricName: MetricName, tags: Seq[Tag], ttl: TimeRange) extends Aggregator with Product with Serializable

    Saves the result to another metric.

    Saves the result to another metric. Any data point with a unique tag value will also have that tag set. So if a data point is returned with tags {"dc":["DC1"],"host":["hostA", "hostB"]} only the dc tag will be set when saved. If you do a group by query the group by tags are saved.

    metricName

    Metric name to save the results to.

    tags

    Additional tags to set on the metrics {"tag1":"value1","tag2":"value2"}

    ttl

    Sets the ttl on the newly saved metrics

16.  case class Scale(factor: Double) extends Aggregator with Product with Serializable

    Scales each data point by a factor

17.  case class StandardDeviation(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable

    Computes standard deviation

18.  case class Sum(sampling: TimeRange, startTime: Option[AbsoluteStartTime] = None, align: Option[Align] = None, timeZone: Option[String] = None) extends RangeAggregator with Product with Serializable

    Sums all value

19.  case class Trim(trimWhat: TrimWhat) extends Aggregator with Product with Serializable

    Trims off the first, last or both data points for the interval.

    Trims off the first, last or both data points for the interval. Useful in conjunction with the SaveAs aggregator to remove partial intervals.