Struct Histogramdouble

pub struct Histogramdouble {
    pub bins: Vec<Bindouble>,
    pub max: f64,
    pub min: f64,
    pub n_samples: u64,
    pub p50: Quantile,
    pub p90: Quantile,
    pub p99: Quantile,
    pub squared_mean: f64,
    pub start_time: DateTime<Utc>,
    pub sum_of_samples: f64,
}

Histogram metric

A histogram maintains the count of any number of samples, over a set of bins. Bins are specified on construction via their left edges, inclusive. There can’t be any “gaps” in the bins, and an additional bin may be added to the left, right, or both so that the bins extend to the entire range of the support.

Note that any gaps, unsorted bins, or non-finite values will result in an error.

JSON schema

{
 "description": "Histogram metric\n\nA histogram maintains the count of
any number of samples, over a set of bins. Bins are specified on
construction via their _left_ edges, inclusive. There can't be any
\"gaps\" in the bins, and an additional bin may be added to the left,
right, or both so that the bins extend to the entire range of the
support.\n\nNote that any gaps, unsorted bins, or non-finite values will
result in an error.",
 "type": "object",
 "required": [
   "bins",
   "max",
   "min",
   "n_samples",
   "p50",
   "p90",
   "p99",
   "squared_mean",
   "start_time",
   "sum_of_samples"
 ],
 "properties": {
   "bins": {
     "description": "The bins of the histogram.",
     "type": "array",
     "items": {
       "$ref": "#/components/schemas/Bindouble"
     }
   },
   "max": {
     "description": "The maximum value of all samples in the
histogram.",
     "type": "number",
     "format": "double"
   },
   "min": {
     "description": "The minimum value of all samples in the
histogram.",
     "type": "number",
     "format": "double"
   },
   "n_samples": {
     "description": "The total number of samples in the histogram.",
     "type": "integer",
     "format": "uint64",
     "minimum": 0.0
   },
   "p50": {
     "description": "p50 Quantile",
     "allOf": [
       {
         "$ref": "#/components/schemas/Quantile"
       }
     ]
   },
   "p90": {
     "description": "p95 Quantile",
     "allOf": [
       {
         "$ref": "#/components/schemas/Quantile"
       }
     ]
   },
   "p99": {
     "description": "p99 Quantile",
     "allOf": [
       {
         "$ref": "#/components/schemas/Quantile"
       }
     ]
   },
   "squared_mean": {
     "description": "M2 for Welford's algorithm for variance calculation.\n\nRead about [Welford's algorithm](https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm) for more information on the algorithm.",
     "type": "number",
     "format": "double"
   },
   "start_time": {
     "description": "The start time of the histogram.",
     "type": "string",
     "format": "date-time"
   },
   "sum_of_samples": {
     "description": "The sum of all samples in the histogram.",
     "type": "number",
     "format": "double"
   }
 }
}

Fields

bins: Vec<Bindouble>

The bins of the histogram.

max: f64

min: f64

n_samples: u64

The total number of samples in the histogram.

p50: Quantile

p50 Quantile

p90: Quantile

p95 Quantile

p99: Quantile

p99 Quantile

squared_mean: f64

start_time: DateTime<Utc>

The start time of the histogram.

sum_of_samples: f64

Implementations

impl Histogramdouble

pub fn builder() -> Histogramdouble

Trait Implementations

impl Clone for Histogramdouble

fn clone(&self) -> Histogramdouble

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Histogramdouble

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Histogramdouble

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl From<&Histogramdouble> for Histogramdouble

fn from(value: &Histogramdouble) -> Self

Converts to this type from the input type.

impl From<Histogramdouble> for Datum

fn from(value: Histogramdouble) -> Self

Converts to this type from the input type.

impl From<Histogramdouble> for Histogramdouble

fn from(value: Histogramdouble) -> Self

Converts to this type from the input type.

impl JsonSchema for Histogramdouble

fn schema_name() -> String

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn is_referenceable() -> bool

Whether JSON Schemas generated for this type should be re-used where possible using the $ref keyword.

impl Serialize for Histogramdouble

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl TryFrom<Histogramdouble> for Histogramdouble

type Error = ConversionError

The type returned in the event of a conversion error.

fn try_from(value: Histogramdouble) -> Result<Self, ConversionError>

Performs the conversion.