Struct Distribution

pub struct Distribution {
    pub bucket_counts: Option<Vec<i64>>,
    pub count: Option<i64>,
    pub exemplars: Option<Vec<Exemplar>>,
    pub explicit_buckets: Option<ExplicitBuckets>,
    pub exponential_buckets: Option<ExponentialBuckets>,
    pub linear_buckets: Option<LinearBuckets>,
    pub maximum: Option<f64>,
    pub mean: Option<f64>,
    pub minimum: Option<f64>,
    pub sum_of_squared_deviation: Option<f64>,
}

Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: * the arithmetic mean of the samples * the minimum and maximum of the samples * the sum-squared-deviation of the samples, used to compute variance * a histogram of the values of the sample points

This type is not used in any activity, and only used as part of another schema.

Fields

bucket_counts: Option<Vec<i64>>

The number of samples in each histogram bucket. bucket_counts are optional. If present, they must sum to the count value. The buckets are defined below in bucket_option. There are N buckets. bucket_counts[0] is the number of samples in the underflow bucket. bucket_counts[1] to bucket_counts[N-1] are the numbers of samples in each of the finite buckets. And bucket_counts[N] is the number of samples in the overflow bucket. See the comments of bucket_option` below for more details. Any suffix of trailing zeros may be omitted.

count: Option<i64>

The total number of samples in the distribution. Must be >= 0.

exemplars: Option<Vec<Exemplar>>

Example points. Must be in increasing order of value field.

explicit_buckets: Option<ExplicitBuckets>

Buckets with arbitrary user-provided width.

exponential_buckets: Option<ExponentialBuckets>

Buckets with exponentially growing width.

linear_buckets: Option<LinearBuckets>

Buckets with constant width.

maximum: Option<f64>

The maximum of the population of values. Ignored if count is zero.

mean: Option<f64>

The arithmetic mean of the samples in the distribution. If count is zero then this field must be zero.

minimum: Option<f64>

The minimum of the population of values. Ignored if count is zero.

sum_of_squared_deviation: Option<f64>

The sum of squared deviations from the mean: Sum[i=1..count]((x_i - mean)^2) where each x_i is a sample values. If count is zero then this field must be zero, otherwise validation of the request fails.

Trait Implementations

impl Clone for Distribution

fn clone(&self) -> Distribution

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Distribution

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

Formats the value using the given formatter.

impl Default for Distribution

fn default() -> Distribution

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Distribution

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Distribution

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for Distribution