examples_test.go

// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package prometheus_test

import (
	"bytes"
	"fmt"
	"math"
	"net/http"
	"runtime"
	"strings"
	"time"

	//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
	"github.com/golang/protobuf/proto"
	dto "github.com/prometheus/client_model/go"
	"github.com/prometheus/common/expfmt"

	"github.com/prometheus/client_golang/prometheus"
	"github.com/prometheus/client_golang/prometheus/promhttp"
)

func ExampleGauge() {
	opsQueued := prometheus.NewGauge(prometheus.GaugeOpts{
		Namespace: "our_company",
		Subsystem: "blob_storage",
		Name:      "ops_queued",
		Help:      "Number of blob storage operations waiting to be processed.",
	})
	prometheus.MustRegister(opsQueued)

	// 10 operations queued by the goroutine managing incoming requests.
	opsQueued.Add(10)
	// A worker goroutine has picked up a waiting operation.
	opsQueued.Dec()
	// And once more...
	opsQueued.Dec()
}

func ExampleGaugeVec() {
	opsQueued := prometheus.NewGaugeVec(
		prometheus.GaugeOpts{
			Namespace: "our_company",
			Subsystem: "blob_storage",
			Name:      "ops_queued",
			Help:      "Number of blob storage operations waiting to be processed, partitioned by user and type.",
		},
		[]string{
			// Which user has requested the operation?
			"user",
			// Of what type is the operation?
			"type",
		},
	)
	prometheus.MustRegister(opsQueued)

	// Increase a value using compact (but order-sensitive!) WithLabelValues().
	opsQueued.WithLabelValues("bob", "put").Add(4)
	// Increase a value with a map using WithLabels. More verbose, but order
	// doesn't matter anymore.
	opsQueued.With(prometheus.Labels{"type": "delete", "user": "alice"}).Inc()
}

func ExampleGaugeFunc_simple() {
	if err := prometheus.Register(prometheus.NewGaugeFunc(
		prometheus.GaugeOpts{
			Subsystem: "runtime",
			Name:      "goroutines_count",
			Help:      "Number of goroutines that currently exist.",
		},
		func() float64 { return float64(runtime.NumGoroutine()) },
	)); err == nil {
		fmt.Println("GaugeFunc 'goroutines_count' registered.")
	}
	// Note that the count of goroutines is a gauge (and not a counter) as
	// it can go up and down.

	// Output:
	// GaugeFunc 'goroutines_count' registered.
}

func ExampleGaugeFunc_constLabels() {
	// primaryDB and secondaryDB represent two example *sql.DB connections we want to instrument.
	var primaryDB, secondaryDB interface {
		Stats() struct{ OpenConnections int }
	}

	if err := prometheus.Register(prometheus.NewGaugeFunc(
		prometheus.GaugeOpts{
			Namespace:   "mysql",
			Name:        "connections_open",
			Help:        "Number of mysql connections open.",
			ConstLabels: prometheus.Labels{"destination": "primary"},
		},
		func() float64 { return float64(primaryDB.Stats().OpenConnections) },
	)); err == nil {
		fmt.Println(`GaugeFunc 'connections_open' for primary DB connection registered with labels {destination="primary"}`)
	}

	if err := prometheus.Register(prometheus.NewGaugeFunc(
		prometheus.GaugeOpts{
			Namespace:   "mysql",
			Name:        "connections_open",
			Help:        "Number of mysql connections open.",
			ConstLabels: prometheus.Labels{"destination": "secondary"},
		},
		func() float64 { return float64(secondaryDB.Stats().OpenConnections) },
	)); err == nil {
		fmt.Println(`GaugeFunc 'connections_open' for secondary DB connection registered with labels {destination="secondary"}`)
	}

	// Note that we can register more than once GaugeFunc with same metric name
	// as long as their const labels are consistent.

	// Output:
	// GaugeFunc 'connections_open' for primary DB connection registered with labels {destination="primary"}
	// GaugeFunc 'connections_open' for secondary DB connection registered with labels {destination="secondary"}
}

func ExampleCounterVec() {
	httpReqs := prometheus.NewCounterVec(
		prometheus.CounterOpts{
			Name: "http_requests_total",
			Help: "How many HTTP requests processed, partitioned by status code and HTTP method.",
		},
		[]string{"code", "method"},
	)
	prometheus.MustRegister(httpReqs)

	httpReqs.WithLabelValues("404", "POST").Add(42)

	// If you have to access the same set of labels very frequently, it
	// might be good to retrieve the metric only once and keep a handle to
	// it. But beware of deletion of that metric, see below!
	m := httpReqs.WithLabelValues("200", "GET")
	for i := 0; i < 1000000; i++ {
		m.Inc()
	}
	// Delete a metric from the vector. If you have previously kept a handle
	// to that metric (as above), future updates via that handle will go
	// unseen (even if you re-create a metric with the same label set
	// later).
	httpReqs.DeleteLabelValues("200", "GET")
	// Same thing with the more verbose Labels syntax.
	httpReqs.Delete(prometheus.Labels{"method": "GET", "code": "200"})
}

func ExampleRegister() {
	// Imagine you have a worker pool and want to count the tasks completed.
	taskCounter := prometheus.NewCounter(prometheus.CounterOpts{
		Subsystem: "worker_pool",
		Name:      "completed_tasks_total",
		Help:      "Total number of tasks completed.",
	})
	// This will register fine.
	if err := prometheus.Register(taskCounter); err != nil {
		fmt.Println(err)
	} else {
		fmt.Println("taskCounter registered.")
	}
	// Don't forget to tell the HTTP server about the Prometheus handler.
	// (In a real program, you still need to start the HTTP server...)
	http.Handle("/metrics", promhttp.Handler())

	// Now you can start workers and give every one of them a pointer to
	// taskCounter and let it increment it whenever it completes a task.
	taskCounter.Inc() // This has to happen somewhere in the worker code.

	// But wait, you want to see how individual workers perform. So you need
	// a vector of counters, with one element for each worker.
	taskCounterVec := prometheus.NewCounterVec(
		prometheus.CounterOpts{
			Subsystem: "worker_pool",
			Name:      "completed_tasks_total",
			Help:      "Total number of tasks completed.",
		},
		[]string{"worker_id"},
	)

	// Registering will fail because we already have a metric of that name.
	if err := prometheus.Register(taskCounterVec); err != nil {
		fmt.Println("taskCounterVec not registered:", err)
	} else {
		fmt.Println("taskCounterVec registered.")
	}

	// To fix, first unregister the old taskCounter.
	if prometheus.Unregister(taskCounter) {
		fmt.Println("taskCounter unregistered.")
	}

	// Try registering taskCounterVec again.
	if err := prometheus.Register(taskCounterVec); err != nil {
		fmt.Println("taskCounterVec not registered:", err)
	} else {
		fmt.Println("taskCounterVec registered.")
	}
	// Bummer! Still doesn't work.

	// Prometheus will not allow you to ever export metrics with
	// inconsistent help strings or label names. After unregistering, the
	// unregistered metrics will cease to show up in the /metrics HTTP
	// response, but the registry still remembers that those metrics had
	// been exported before. For this example, we will now choose a
	// different name. (In a real program, you would obviously not export
	// the obsolete metric in the first place.)
	taskCounterVec = prometheus.NewCounterVec(
		prometheus.CounterOpts{
			Subsystem: "worker_pool",
			Name:      "completed_tasks_by_id",
			Help:      "Total number of tasks completed.",
		},
		[]string{"worker_id"},
	)
	if err := prometheus.Register(taskCounterVec); err != nil {
		fmt.Println("taskCounterVec not registered:", err)
	} else {
		fmt.Println("taskCounterVec registered.")
	}
	// Finally it worked!

	// The workers have to tell taskCounterVec their id to increment the
	// right element in the metric vector.
	taskCounterVec.WithLabelValues("42").Inc() // Code from worker 42.

	// Each worker could also keep a reference to their own counter element
	// around. Pick the counter at initialization time of the worker.
	myCounter := taskCounterVec.WithLabelValues("42") // From worker 42 initialization code.
	myCounter.Inc()                                   // Somewhere in the code of that worker.

	// Note that something like WithLabelValues("42", "spurious arg") would
	// panic (because you have provided too many label values). If you want
	// to get an error instead, use GetMetricWithLabelValues(...) instead.
	notMyCounter, err := taskCounterVec.GetMetricWithLabelValues("42", "spurious arg")
	if err != nil {
		fmt.Println("Worker initialization failed:", err)
	}
	if notMyCounter == nil {
		fmt.Println("notMyCounter is nil.")
	}

	// A different (and somewhat tricky) approach is to use
	// ConstLabels. ConstLabels are pairs of label names and label values
	// that never change. Each worker creates and registers an own Counter
	// instance where the only difference is in the value of the
	// ConstLabels. Those Counters can all be registered because the
	// different ConstLabel values guarantee that each worker will increment
	// a different Counter metric.
	counterOpts := prometheus.CounterOpts{
		Subsystem:   "worker_pool",
		Name:        "completed_tasks",
		Help:        "Total number of tasks completed.",
		ConstLabels: prometheus.Labels{"worker_id": "42"},
	}
	taskCounterForWorker42 := prometheus.NewCounter(counterOpts)
	if err := prometheus.Register(taskCounterForWorker42); err != nil {
		fmt.Println("taskCounterVForWorker42 not registered:", err)
	} else {
		fmt.Println("taskCounterForWorker42 registered.")
	}
	// Obviously, in real code, taskCounterForWorker42 would be a member
	// variable of a worker struct, and the "42" would be retrieved with a
	// GetId() method or something. The Counter would be created and
	// registered in the initialization code of the worker.

	// For the creation of the next Counter, we can recycle
	// counterOpts. Just change the ConstLabels.
	counterOpts.ConstLabels = prometheus.Labels{"worker_id": "2001"}
	taskCounterForWorker2001 := prometheus.NewCounter(counterOpts)
	if err := prometheus.Register(taskCounterForWorker2001); err != nil {
		fmt.Println("taskCounterVForWorker2001 not registered:", err)
	} else {
		fmt.Println("taskCounterForWorker2001 registered.")
	}

	taskCounterForWorker2001.Inc()
	taskCounterForWorker42.Inc()
	taskCounterForWorker2001.Inc()

	// Yet another approach would be to turn the workers themselves into
	// Collectors and register them. See the Collector example for details.

	// Output:
	// taskCounter registered.
	// taskCounterVec not registered: a previously registered descriptor with the same fully-qualified name as Desc{fqName: "worker_pool_completed_tasks_total", help: "Total number of tasks completed.", constLabels: {}, variableLabels: [worker_id]} has different label names or a different help string
	// taskCounter unregistered.
	// taskCounterVec not registered: a previously registered descriptor with the same fully-qualified name as Desc{fqName: "worker_pool_completed_tasks_total", help: "Total number of tasks completed.", constLabels: {}, variableLabels: [worker_id]} has different label names or a different help string
	// taskCounterVec registered.
	// Worker initialization failed: inconsistent label cardinality: expected 1 label values but got 2 in []string{"42", "spurious arg"}
	// notMyCounter is nil.
	// taskCounterForWorker42 registered.
	// taskCounterForWorker2001 registered.
}

func ExampleSummary() {
	temps := prometheus.NewSummary(prometheus.SummaryOpts{
		Name:       "pond_temperature_celsius",
		Help:       "The temperature of the frog pond.",
		Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},
	})

	// Simulate some observations.
	for i := 0; i < 1000; i++ {
		temps.Observe(30 + math.Floor(120*math.Sin(float64(i)*0.1))/10)
	}

	// Just for demonstration, let's check the state of the summary by
	// (ab)using its Write method (which is usually only used by Prometheus
	// internally).
	metric := &dto.Metric{}
	temps.Write(metric)
	fmt.Println(proto.MarshalTextString(metric))

	// Output:
	// summary: <
	//   sample_count: 1000
	//   sample_sum: 29969.50000000001
	//   quantile: <
	//     quantile: 0.5
	//     value: 31.1
	//   >
	//   quantile: <
	//     quantile: 0.9
	//     value: 41.3
	//   >
	//   quantile: <
	//     quantile: 0.99
	//     value: 41.9
	//   >
	// >
}

func ExampleSummaryVec() {
	temps := prometheus.NewSummaryVec(
		prometheus.SummaryOpts{
			Name:       "pond_temperature_celsius",
			Help:       "The temperature of the frog pond.",
			Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},
		},
		[]string{"species"},
	)

	// Simulate some observations.
	for i := 0; i < 1000; i++ {
		temps.WithLabelValues("litoria-caerulea").Observe(30 + math.Floor(120*math.Sin(float64(i)*0.1))/10)
		temps.WithLabelValues("lithobates-catesbeianus").Observe(32 + math.Floor(100*math.Cos(float64(i)*0.11))/10)
	}

	// Create a Summary without any observations.
	temps.WithLabelValues("leiopelma-hochstetteri")

	// Just for demonstration, let's check the state of the summary vector
	// by registering it with a custom registry and then let it collect the
	// metrics.
	reg := prometheus.NewRegistry()
	reg.MustRegister(temps)

	metricFamilies, err := reg.Gather()
	if err != nil || len(metricFamilies) != 1 {
		panic("unexpected behavior of custom test registry")
	}
	fmt.Println(proto.MarshalTextString(metricFamilies[0]))

	// Output:
	// name: "pond_temperature_celsius"
	// help: "The temperature of the frog pond."
	// type: SUMMARY
	// metric: <
	//   label: <
	//     name: "species"
	//     value: "leiopelma-hochstetteri"
	//   >
	//   summary: <
	//     sample_count: 0
	//     sample_sum: 0
	//     quantile: <
	//       quantile: 0.5
	//       value: nan
	//     >
	//     quantile: <
	//       quantile: 0.9
	//       value: nan
	//     >
	//     quantile: <
	//       quantile: 0.99
	//       value: nan
	//     >
	//   >
	// >
	// metric: <
	//   label: <
	//     name: "species"
	//     value: "lithobates-catesbeianus"
	//   >
	//   summary: <
	//     sample_count: 1000
	//     sample_sum: 31956.100000000017
	//     quantile: <
	//       quantile: 0.5
	//       value: 32.4
	//     >
	//     quantile: <
	//       quantile: 0.9
	//       value: 41.4
	//     >
	//     quantile: <
	//       quantile: 0.99
	//       value: 41.9
	//     >
	//   >
	// >
	// metric: <
	//   label: <
	//     name: "species"
	//     value: "litoria-caerulea"
	//   >
	//   summary: <
	//     sample_count: 1000
	//     sample_sum: 29969.50000000001
	//     quantile: <
	//       quantile: 0.5
	//       value: 31.1
	//     >
	//     quantile: <
	//       quantile: 0.9
	//       value: 41.3
	//     >
	//     quantile: <
	//       quantile: 0.99
	//       value: 41.9
	//     >
	//   >
	// >
}

func ExampleNewConstSummary() {
	desc := prometheus.NewDesc(
		"http_request_duration_seconds",
		"A summary of the HTTP request durations.",
		[]string{"code", "method"},
		prometheus.Labels{"owner": "example"},
	)

	// Create a constant summary from values we got from a 3rd party telemetry system.
	s := prometheus.MustNewConstSummary(
		desc,
		4711, 403.34,
		map[float64]float64{0.5: 42.3, 0.9: 323.3},
		"200", "get",
	)

	// Just for demonstration, let's check the state of the summary by
	// (ab)using its Write method (which is usually only used by Prometheus
	// internally).
	metric := &dto.Metric{}
	s.Write(metric)
	fmt.Println(proto.MarshalTextString(metric))

	// Output:
	// label: <
	//   name: "code"
	//   value: "200"
	// >
	// label: <
	//   name: "method"
	//   value: "get"
	// >
	// label: <
	//   name: "owner"
	//   value: "example"
	// >
	// summary: <
	//   sample_count: 4711
	//   sample_sum: 403.34
	//   quantile: <
	//     quantile: 0.5
	//     value: 42.3
	//   >
	//   quantile: <
	//     quantile: 0.9
	//     value: 323.3
	//   >
	// >
}

func ExampleHistogram() {
	temps := prometheus.NewHistogram(prometheus.HistogramOpts{
		Name:    "pond_temperature_celsius",
		Help:    "The temperature of the frog pond.", // Sorry, we can't measure how badly it smells.
		Buckets: prometheus.LinearBuckets(20, 5, 5),  // 5 buckets, each 5 centigrade wide.
	})

	// Simulate some observations.
	for i := 0; i < 1000; i++ {
		temps.Observe(30 + math.Floor(120*math.Sin(float64(i)*0.1))/10)
	}

	// Just for demonstration, let's check the state of the histogram by
	// (ab)using its Write method (which is usually only used by Prometheus
	// internally).
	metric := &dto.Metric{}
	temps.Write(metric)
	fmt.Println(proto.MarshalTextString(metric))

	// Output:
	// histogram: <
	//   sample_count: 1000
	//   sample_sum: 29969.50000000001
	//   bucket: <
	//     cumulative_count: 192
	//     upper_bound: 20
	//   >
	//   bucket: <
	//     cumulative_count: 366
	//     upper_bound: 25
	//   >
	//   bucket: <
	//     cumulative_count: 501
	//     upper_bound: 30
	//   >
	//   bucket: <
	//     cumulative_count: 638
	//     upper_bound: 35
	//   >
	//   bucket: <
	//     cumulative_count: 816
	//     upper_bound: 40
	//   >
	// >
}

func ExampleNewConstHistogram() {
	desc := prometheus.NewDesc(
		"http_request_duration_seconds",
		"A histogram of the HTTP request durations.",
		[]string{"code", "method"},
		prometheus.Labels{"owner": "example"},
	)

	// Create a constant histogram from values we got from a 3rd party telemetry system.
	h := prometheus.MustNewConstHistogram(
		desc,
		4711, 403.34,
		map[float64]uint64{25: 121, 50: 2403, 100: 3221, 200: 4233},
		"200", "get",
	)

	// Just for demonstration, let's check the state of the histogram by
	// (ab)using its Write method (which is usually only used by Prometheus
	// internally).
	metric := &dto.Metric{}
	h.Write(metric)
	fmt.Println(proto.MarshalTextString(metric))

	// Output:
	// label: <
	//   name: "code"
	//   value: "200"
	// >
	// label: <
	//   name: "method"
	//   value: "get"
	// >
	// label: <
	//   name: "owner"
	//   value: "example"
	// >
	// histogram: <
	//   sample_count: 4711
	//   sample_sum: 403.34
	//   bucket: <
	//     cumulative_count: 121
	//     upper_bound: 25
	//   >
	//   bucket: <
	//     cumulative_count: 2403
	//     upper_bound: 50
	//   >
	//   bucket: <
	//     cumulative_count: 3221
	//     upper_bound: 100
	//   >
	//   bucket: <
	//     cumulative_count: 4233
	//     upper_bound: 200
	//   >
	// >
}

func ExampleNewConstHistogram_WithExemplar() {
	desc := prometheus.NewDesc(
		"http_request_duration_seconds",
		"A histogram of the HTTP request durations.",
		[]string{"code", "method"},
		prometheus.Labels{"owner": "example"},
	)

	// Create a constant histogram from values we got from a 3rd party telemetry system.
	h := prometheus.MustNewConstHistogram(
		desc,
		4711, 403.34,
		map[float64]uint64{25: 121, 50: 2403, 100: 3221, 200: 4233},
		"200", "get",
	)

	// Wrap const histogram with exemplars for each bucket.
	exemplarTs, _ := time.Parse(time.RFC850, "Monday, 02-Jan-06 15:04:05 GMT")
	exemplarLabels := prometheus.Labels{"testName": "testVal"}
	h = prometheus.MustNewMetricWithExemplars(
		h,
		prometheus.Exemplar{Labels: exemplarLabels, Timestamp: exemplarTs, Value: 24.0},
		prometheus.Exemplar{Labels: exemplarLabels, Timestamp: exemplarTs, Value: 42.0},
		prometheus.Exemplar{Labels: exemplarLabels, Timestamp: exemplarTs, Value: 89.0},
		prometheus.Exemplar{Labels: exemplarLabels, Timestamp: exemplarTs, Value: 157.0},
	)

	// Just for demonstration, let's check the state of the histogram by
	// (ab)using its Write method (which is usually only used by Prometheus
	// internally).
	metric := &dto.Metric{}
	h.Write(metric)
	fmt.Println(proto.MarshalTextString(metric))

	// Output:
	// label: <
	//   name: "code"
	//   value: "200"
	// >
	// label: <
	//   name: "method"
	//   value: "get"
	// >
	// label: <
	//   name: "owner"
	//   value: "example"
	// >
	// histogram: <
	//   sample_count: 4711
	//   sample_sum: 403.34
	//   bucket: <
	//     cumulative_count: 121
	//     upper_bound: 25
	//     exemplar: <
	//       label: <
	//         name: "testName"
	//         value: "testVal"
	//       >
	//       value: 24
	//       timestamp: <
	//         seconds: 1136214245
	//       >
	//     >
	//   >
	//   bucket: <
	//     cumulative_count: 2403
	//     upper_bound: 50
	//     exemplar: <
	//       label: <
	//         name: "testName"
	//         value: "testVal"
	//       >
	//       value: 42
	//       timestamp: <
	//         seconds: 1136214245
	//       >
	//     >
	//   >
	//   bucket: <
	//     cumulative_count: 3221
	//     upper_bound: 100
	//     exemplar: <
	//       label: <
	//         name: "testName"
	//         value: "testVal"
	//       >
	//       value: 89
	//       timestamp: <
	//         seconds: 1136214245
	//       >
	//     >
	//   >
	//   bucket: <
	//     cumulative_count: 4233
	//     upper_bound: 200
	//     exemplar: <
	//       label: <
	//         name: "testName"
	//         value: "testVal"
	//       >
	//       value: 157
	//       timestamp: <
	//         seconds: 1136214245
	//       >
	//     >
	//   >
	// >
}

func ExampleAlreadyRegisteredError() {
	reqCounter := prometheus.NewCounter(prometheus.CounterOpts{
		Name: "requests_total",
		Help: "The total number of requests served.",
	})
	if err := prometheus.Register(reqCounter); err != nil {
		if are, ok := err.(prometheus.AlreadyRegisteredError); ok {
			// A counter for that metric has been registered before.
			// Use the old counter from now on.
			reqCounter = are.ExistingCollector.(prometheus.Counter)
		} else {
			// Something else went wrong!
			panic(err)
		}
	}
	reqCounter.Inc()
}

func ExampleGatherers() {
	reg := prometheus.NewRegistry()
	temp := prometheus.NewGaugeVec(
		prometheus.GaugeOpts{
			Name: "temperature_kelvin",
			Help: "Temperature in Kelvin.",
		},
		[]string{"location"},
	)
	reg.MustRegister(temp)
	temp.WithLabelValues("outside").Set(273.14)
	temp.WithLabelValues("inside").Set(298.44)

	var parser expfmt.TextParser

	text := `
# TYPE humidity_percent gauge
# HELP humidity_percent Humidity in %.
humidity_percent{location="outside"} 45.4
humidity_percent{location="inside"} 33.2
# TYPE temperature_kelvin gauge
# HELP temperature_kelvin Temperature in Kelvin.
temperature_kelvin{location="somewhere else"} 4.5
`

	parseText := func() ([]*dto.MetricFamily, error) {
		parsed, err := parser.TextToMetricFamilies(strings.NewReader(text))
		if err != nil {
			return nil, err
		}
		var result []*dto.MetricFamily
		for _, mf := range parsed {
			result = append(result, mf)
		}
		return result, nil
	}

	gatherers := prometheus.Gatherers{
		reg,
		prometheus.GathererFunc(parseText),
	}

	gathering, err := gatherers.Gather()
	if err != nil {
		fmt.Println(err)
	}

	out := &bytes.Buffer{}
	for _, mf := range gathering {
		if _, err := expfmt.MetricFamilyToText(out, mf); err != nil {
			panic(err)
		}
	}
	fmt.Print(out.String())
	fmt.Println("----------")

	// Note how the temperature_kelvin metric family has been merged from
	// different sources. Now try
	text = `
# TYPE humidity_percent gauge
# HELP humidity_percent Humidity in %.
humidity_percent{location="outside"} 45.4
humidity_percent{location="inside"} 33.2
# TYPE temperature_kelvin gauge
# HELP temperature_kelvin Temperature in Kelvin.
# Duplicate metric:
temperature_kelvin{location="outside"} 265.3
 # Missing location label (note that this is undesirable but valid):
temperature_kelvin 4.5
`

	gathering, err = gatherers.Gather()
	if err != nil {
		fmt.Println(err)
	}
	// Note that still as many metrics as possible are returned:
	out.Reset()
	for _, mf := range gathering {
		if _, err := expfmt.MetricFamilyToText(out, mf); err != nil {
			panic(err)
		}
	}
	fmt.Print(out.String())

	// Output:
	// # HELP humidity_percent Humidity in %.
	// # TYPE humidity_percent gauge
	// humidity_percent{location="inside"} 33.2
	// humidity_percent{location="outside"} 45.4
	// # HELP temperature_kelvin Temperature in Kelvin.
	// # TYPE temperature_kelvin gauge
	// temperature_kelvin{location="inside"} 298.44
	// temperature_kelvin{location="outside"} 273.14
	// temperature_kelvin{location="somewhere else"} 4.5
	// ----------
	// collected metric "temperature_kelvin" { label:<name:"location" value:"outside" > gauge:<value:265.3 > } was collected before with the same name and label values
	// # HELP humidity_percent Humidity in %.
	// # TYPE humidity_percent gauge
	// humidity_percent{location="inside"} 33.2
	// humidity_percent{location="outside"} 45.4
	// # HELP temperature_kelvin Temperature in Kelvin.
	// # TYPE temperature_kelvin gauge
	// temperature_kelvin 4.5
	// temperature_kelvin{location="inside"} 298.44
	// temperature_kelvin{location="outside"} 273.14
}

func ExampleNewMetricWithTimestamp() {
	desc := prometheus.NewDesc(
		"temperature_kelvin",
		"Current temperature in Kelvin.",
		nil, nil,
	)

	// Create a constant gauge from values we got from an external
	// temperature reporting system. Those values are reported with a slight
	// delay, so we want to add the timestamp of the actual measurement.
	temperatureReportedByExternalSystem := 298.15
	timeReportedByExternalSystem := time.Date(2009, time.November, 10, 23, 0, 0, 12345678, time.UTC)
	s := prometheus.NewMetricWithTimestamp(
		timeReportedByExternalSystem,
		prometheus.MustNewConstMetric(
			desc, prometheus.GaugeValue, temperatureReportedByExternalSystem,
		),
	)

	// Just for demonstration, let's check the state of the gauge by
	// (ab)using its Write method (which is usually only used by Prometheus
	// internally).
	metric := &dto.Metric{}
	s.Write(metric)
	fmt.Println(proto.MarshalTextString(metric))

	// Output:
	// gauge: <
	//   value: 298.15
	// >
	// timestamp_ms: 1257894000012
}