Enum Aggregate 

pub enum Aggregate {
    Average,
    Max,
    Min,
    Count,
    Sum,
    Interpolation,
    StepInterpolation,
    TotalVariation,
    ContinuousVariance,
    DiscreteVariance,
    CountGood,
    CountUncertain,
    CountBad,
    DurationGood,
    DurationUncertain,
    DurationBad,
}

Datapoint aggregates. See aggregates for more details.

Variants

Average

Average over datpoint values.

Max

Maximum datapoint value in the given range.

Min

Minimum datapoint value in the given range.

Count

Number of datapoints in the given range.

Sum

Sum of datapoints in the given range.

Interpolation

The interpolated value at the start of each time range.

StepInterpolation

The interpolated value at the start of each time range, treating time series as stepwise.

TotalVariation

The sum of absolute differences between neighboring data points in a period.

ContinuousVariance

The variance of the underlying function when assuming linear or step behavior between data points.

DiscreteVariance

The variance of the discrete set of data points, no weighting for density of points in time.

CountGood

The number of data points in the aggregate period that have a Good status code. Uncertain does not count, irrespective of treatUncertainAsBad parameter.

CountUncertain

The number of data points in the aggregate period that have an Uncertain status code.

CountBad

The number of data points in the aggregate period that have a Bad status code. Uncertain does not count, irrespective of treatUncertainAsBad parameter.

DurationGood

The duration the aggregate is defined and marked as good (regardless of ignoreBadDataPoints parameter). Measured in milliseconds. Equivalent to duration that the previous data point is good and in range.

DurationUncertain

The duration the aggregate is defined and marked as uncertain (regardless of ignoreBadDataPoints parameter). Measured in milliseconds. Equivalent to duration that the previous data point is uncertain and in range.

DurationBad

The duration the aggregate is defined but marked as bad (regardless of ignoreBadDataPoints parameter). Measured in milliseconds. Equivalent to duration that the previous data point is bad and in range.

Trait Implementations

impl Clone for Aggregate

fn clone(&self) -> Aggregate

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Aggregate

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Aggregate

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl From<&str> for Aggregate

fn from(val: &str) -> Aggregate

Converts to this type from the input type.

impl Serialize for Aggregate

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.