metrics

package
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Published: Mar 14, 2023 License: Apache-2.0 Imports: 2 Imported by: 5

Documentation

Index

Examples

Constants

This section is empty.

Variables

View Source
var NonNegativeBuckets = []float64{

	1, 2, 5,
	10, 20, 50,
	100, 200, 500,
	1000, 2000, 5000,
	10000, 20000, 50000,
	100000, 200000, 500000,
	1000000, 2000000, 5000000,
	10000000, 20000000, 50000000,
	100000000, 200000000, 500000000,
	1000000000, 2000000000, 5000000000,
	10000000000, 20000000000, 50000000000,
	100000000000, 200000000000, 500000000000,
	1000000000000, 2000000000000, 5000000000000,
	10000000000000, 20000000000000, 50000000000000,
	100000000000000, 200000000000000, 500000000000000,
	1000000000000000, 2000000000000000, 5000000000000000,
	10000000000000000, 20000000000000000, 50000000000000000,
	100000000000000000, 200000000000000000, 500000000000000000,
	1000000000000000000, 2000000000000000000, 5000000000000000000,
	10000000000000000000, 20000000000000000000, 50000000000000000000,
}

NonNegativeBuckets provides rounded bucket boundaries for histograms that will only store non-negative values.

Functions

This section is empty.

Types

type Counter

type Counter struct {
	// contains filtered or unexported fields
}

A Counter is a float-valued, monotonically increasing metric. For example, you can use a Counter to count the number of requests received, the number of requests that resulted in an error, etc.

func NewCounter

func NewCounter(name, help string) *Counter

NewCounter returns a new Counter. It is typically called during package initialization since it panics if called more than once in the same process with the same name. Use NewCounterMap to make a Counter with labels.

func (*Counter) Add

func (c *Counter) Add(delta float64)

Add increases the counter by delta. It panics if the delta is negative.

func (*Counter) Name

func (c *Counter) Name() string

Name returns the name of the counter.

type CounterMap

type CounterMap[L comparable] struct {
	// contains filtered or unexported fields
}

A CounterMap is a collection of Counters with the same name and label schema but with different label values.

Labels

Labels are represented as a comparable struct of type L. We say a label struct L is valid if every field of L is a string, bool or integer type and is exported. For example, the following are valid label structs:

struct{}         // an empty struct
struct{X string} // a struct with one field
struct{X, Y int} // a struct with two fields

The following are invalid label structs:

struct{x string}   // unexported field
string             // not a struct
struct{X chan int} // unsupported label type (i.e. chan int)

Note that the order of the fields within a label struct is unimportant. For example, if one program exports metric foo with labels struct{X, Y string}, another program can safely export the same metric with labels struct{Y, X string}.

By default, the first letter of every label names is lowercased. You can use the "weaver" struct tag to override this behavior and assign a different name to a label. For example,

struct {
    Foo string                // "foo"
    Bar string `weaver:"Bar"` // "Bar"
    Baz string `weaver:"sup"` // "sup"
}
Example
package main

import (
	"github.com/ServiceWeaver/weaver/metrics"
)

func main() {
	// At package scope.
	type carLabels struct {
		Make  string
		Model string
	}

	var (
		carCounts  = metrics.NewCounterMap[carLabels]("car_count", "The number of cars")
		civicCount = carCounts.Get(carLabels{"Honda", "Civic"})
		camryCount = carCounts.Get(carLabels{"Toyota", "Camry"})
		f150Count  = carCounts.Get(carLabels{"Ford", "F-150"})
	)

	// In your code.
	civicCount.Add(1)
	camryCount.Add(2)
	f150Count.Add(150)
}
Output:

func NewCounterMap

func NewCounterMap[L comparable](name, help string) *CounterMap[L]

NewCounterMap returns a new CounterMap. It is typically called during package initialization since it panics if called more than once in the same process with the same name.

func (*CounterMap[L]) Get

func (c *CounterMap[L]) Get(labels L) *Counter

Get returns the Counter with the provided labels, constructing it if it doesn't already exist. Multiple calls to Get with the same labels will return the same Counter.

func (*CounterMap[L]) Name

func (c *CounterMap[L]) Name() string

Name returns the name of the CounterMap.

type Gauge

type Gauge struct {
	// contains filtered or unexported fields
}

A Gauge is a float-valued metric that can hold an arbitrary numerical value, which can increase or decrease over time. For example, you can use a Gauge to measure the current memory usage or the current number of outstanding requests.

func NewGauge

func NewGauge(name, help string) *Gauge

NewGauge returns a new Gauge. It is typically called during package initialization since it panics if called more than once in the same process with the same name. Use NewGaugeMap to make a Gauge with labels.

func (*Gauge) Add

func (g *Gauge) Add(delta float64)

Add adds the provided delta to the gauge's value.

func (*Gauge) Name

func (g *Gauge) Name() string

Name returns the name of the Gauge.

func (*Gauge) Set

func (g *Gauge) Set(val float64)

Set sets the gauge to the given value, overwriting any previous value.

func (*Gauge) Sub

func (g *Gauge) Sub(delta float64)

Sub subtracts the provided delta from the gauge's value.

type GaugeMap

type GaugeMap[L comparable] struct {
	// contains filtered or unexported fields
}

A GaugeMap is a collection of Gauges with the same name and label schema but with different label values. See CounterMap for a description of L.

Example
package main

import (
	"github.com/ServiceWeaver/weaver/metrics"
)

func main() {
	// At package scope.
	type tempLabels struct {
		Room  string
		Index int
	}

	var (
		temps          = metrics.NewGaugeMap[tempLabels]("temperature", "Temperature, in Fahrenheit")
		livingRoomTemp = temps.Get(tempLabels{"Living Room", 0})
		bathroomTemp   = temps.Get(tempLabels{"Bathroom", 0})
		bedroom0Temp   = temps.Get(tempLabels{"Bedroom", 0})
		bedroom1Temp   = temps.Get(tempLabels{"Bedroom", 1})
	)

	// In your code.
	livingRoomTemp.Set(78.4)
	bathroomTemp.Set(65.3)
	bedroom0Temp.Set(84.1)
	bedroom1Temp.Set(80.9)
	livingRoomTemp.Add(1.2)
	bathroomTemp.Sub(2.1)
}
Output:

func NewGaugeMap

func NewGaugeMap[L comparable](name, help string) *GaugeMap[L]

NewGaugeMap returns a new GaugeMap. It is typically called during package initialization since it panics if called more than once in the same process with the same name.

func (*GaugeMap[L]) Get

func (g *GaugeMap[L]) Get(labels L) *Gauge

Get returns the Gauge with the provided labels, constructing it if it doesn't already exist. Multiple calls to Get with the same labels will return the same Gauge.

func (*GaugeMap[L]) Name

func (g *GaugeMap[L]) Name() string

Name returns the name of the GaugeMap.

type Histogram

type Histogram struct {
	// contains filtered or unexported fields
}

A Histogram is a metric that counts the number of values that fall in specified ranges (i.e. buckets). For example, you can use a Histogram to measure the distribution of request latencies.

func NewHistogram

func NewHistogram(name, help string, bounds []float64) *Histogram

NewHistogram returns a new Histogram. It is typically called during package initialization since it panics if called more than once in the same process with the same name. Use NewHistogram to make a Histogram with labels.

The bucket boundaries must be strictly increasing. Given n boundary values, the histogram will contain n+1 buckets, organized as follows:

  • bucket[0] is the underflow bucket, which counts values in the range [-inf, bounds[0]).
  • bucket[n] is the overflow bucket, which counts values in the range [bounds[n-1], +inf).
  • bucket[i], for 0 < i < n, is a bucket that counts values in the range [bounds[i-1], bounds[i]).

For example, given the bounds [0, 10, 100], we have the following buckets:

  • Bucket 0: (-inf, 0]
  • Bucket 1: [0, 10)
  • Bucket 2: [10, 100)
  • Bucket 3: [100, +inf)

func (*Histogram) Name

func (h *Histogram) Name() string

Name returns the name of the histogram.

func (*Histogram) Put

func (h *Histogram) Put(val float64)

Put records a value in its bucket.

type HistogramMap

type HistogramMap[L comparable] struct {
	// contains filtered or unexported fields
}

A HistogramMap is a collection of Histograms with the same name and label schema but with different label values. See CounterMap for a description of L.

Example
package main

import (
	"github.com/ServiceWeaver/weaver/metrics"
)

func main() {
	// At package scope.
	type latencyLabels struct {
		Endpoint string
	}

	var (
		latencies = metrics.NewHistogramMap[latencyLabels](
			"http_request_latency_nanoseconds",
			"HTTP request latency, in nanoseconds, by endpoint",
			[]float64{10, 100, 1000, 10000, 100000, 1000000, 10000000, 100000000},
		)
		fooLatency     = latencies.Get(latencyLabels{"/foo"})
		barLatency     = latencies.Get(latencyLabels{"/bar"})
		metricsLatency = latencies.Get(latencyLabels{"/metrics"})
	)

	// In your code.
	fooLatency.Put(8714.5)
	barLatency.Put(491.7)
	metricsLatency.Put(375.0)
}
Output:

func NewHistogramMap

func NewHistogramMap[L comparable](name, help string, bounds []float64) *HistogramMap[L]

NewHistogramMap returns a new HistogramMap. It is typically called during package initialization since it panics if called more than once in the same process with the same name.

func (*HistogramMap[L]) Get

func (h *HistogramMap[L]) Get(labels L) *Histogram

Get returns the Histogram with the provided labels, constructing it if it doesn't already exist. Multiple calls to Get with the same labels will return the same Histogram.

func (*HistogramMap[L]) Name

func (h *HistogramMap[L]) Name() string

Name returns the name of the HistogramMap.

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