Struct opentelemetry_sdk::metrics::data::ExponentialHistogramDataPoint

pub struct ExponentialHistogramDataPoint<T> {

    pub attributes: Vec<KeyValue>,
    pub start_time: SystemTime,
    pub time: SystemTime,
    pub count: usize,
    pub min: Option<T>,
    pub max: Option<T>,
    pub sum: T,
    pub scale: i8,
    pub zero_count: u64,
    pub positive_bucket: ExponentialBucket,
    pub negative_bucket: ExponentialBucket,
    pub zero_threshold: f64,
    pub exemplars: Vec<Exemplar<T>>,
}

A single exponential histogram data point in a time series.

Fields

attributes: Vec<KeyValue>

The set of key value pairs that uniquely identify the time series.

start_time: SystemTime

When the time series was started.

time: SystemTime

The time when the time series was recorded.

count: usize

The number of updates this histogram has been calculated with.

min: Option<T>

The minimum value recorded.

max: Option<T>

The maximum value recorded.

sum: T

The sum of the values recorded.

scale: i8

Describes the resolution of the histogram.

Boundaries are located at powers of the base, where:

base = 2 ^ (2 ^ -scale)

zero_count: u64

The number of values whose absolute value is less than or equal to zero_threshold.

When zero_threshold is 0, this is the number of values that cannot be expressed using the standard exponential formula as well as values that have been rounded to zero.

positive_bucket: ExponentialBucket

The range of positive value bucket counts.

negative_bucket: ExponentialBucket

The range of negative value bucket counts.

zero_threshold: f64

The width of the zero region.

Where the zero region is defined as the closed interval [-zero_threshold, zero_threshold].

exemplars: Vec<Exemplar<T>>

The sampled exemplars collected during the time series.

Trait Implementations

impl<T: Debug> Debug for ExponentialHistogramDataPoint<T>

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

Formats the value using the given formatter.