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
// >
// >
}
// class to handle prometheus metric recording
package main
import (
"fmt"
prom "github.com/heems/bssim/Godeps/_workspace/src/github.com/prometheus/client_golang/prometheus"
"time"
)
var (
fields = []string{"latency", "bandwidth", "block_size"}
// NewSummaryVec(opts, ["filename", "pid", "latency", "bandwidth"]
fileTimes = prom.NewHistogramVec(prom.HistogramOpts{
Name: "file_times_ms",
Help: "Time for peer to get a file.",
Buckets: prom.LinearBuckets(1, .25, 12),
}, fields)
blockTimes = prom.NewHistogramVec(prom.HistogramOpts{
Name: "block_times_ms",
Help: "Time for peer to get a block.",
Buckets: prom.ExponentialBuckets(0.005, 10, 10),
//Buckets: prom.LinearBuckets(0, .05, 100),
}, fields)
dupBlocks = prom.NewGaugeVec(prom.GaugeOpts{
Name: "dup_blocks_count",
Help: "Count of total duplicate blocks received.",
}, fields)
)