func ExampleConstHistogram() {
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 ExampleConstSummary() {
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 TestRepeatedNilText(t *testing.T) {
m := &pb.MessageList{
Message: []*pb.MessageList_Message{
nil,
&pb.MessageList_Message{
Name: proto.String("Horse"),
},
nil,
},
}
want := `Message <nil>
Message {
name: "Horse"
}
Message <nil>
`
if s := proto.MarshalTextString(m); s != want {
t.Errorf(" got: %s\nwant: %s", s, want)
}
}
func ExampleSummary() {
temps := prometheus.NewSummary(prometheus.SummaryOpts{
Name: "pond_temperature_celsius",
Help: "The temperature of the frog pond.", // Sorry, we can't measure how badly it smells.
})
// 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
// >
// >
}
// WriteProtoText writes the MetricFamily to the writer in text format and
// returns the number of bytes written and any error encountered.
func WriteProtoText(w io.Writer, p *dto.MetricFamily) (int, error) {
return fmt.Fprintf(w, "%s\n", proto.MarshalTextString(p))
}
func ExampleSummaryVec() {
temps := prometheus.NewSummaryVec(
prometheus.SummaryOpts{
Name: "pond_temperature_celsius",
Help: "The temperature of the frog pond.", // Sorry, we can't measure how badly it smells.
},
[]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)
}
// Just for demonstration, let's check the state of the summary vector
// by (ab)using its Collect method and the Write method of its elements
// (which is usually only used by Prometheus internally - code like the
// following will never appear in your own code).
metricChan := make(chan prometheus.Metric)
go func() {
defer close(metricChan)
temps.Collect(metricChan)
}()
metricStrings := []string{}
for metric := range metricChan {
dtoMetric := &dto.Metric{}
metric.Write(dtoMetric)
metricStrings = append(metricStrings, proto.MarshalTextString(dtoMetric))
}
sort.Strings(metricStrings) // For reproducible print order.
fmt.Println(metricStrings)
// Output:
// [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
// >
// >
// 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
// >
// >
// ]
}