我还在学习普罗米修斯，所以也许我不确定这个问题是否正确。
我所需要的只是一个自定义注册表，我只能在其中收集我的指标。由于我学习普罗米修斯我真的不违约感兴趣的度量提供普罗米修斯即所有外出指标，如go_gc_duration_seconds，go_gc_duration_seconds_count，go_threads，promhttp_metric_handler_requests_in_flight等
package main
import (
"fmt"
"log"
"math/rand"
"net/http"
"sync"
"time"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promhttp"
)
var Types = [2]string{"Random", "Simple"}
type Queue struct {
mutex sync.Mutex
jobs []Job
}
func (q *Queue) Add(job Job) {
q.mutex.Lock()
q.jobs = append(q.jobs, job)
q.mutex.Unlock()
}
func (q *Queue) Dequeue() Job {
q.mutex.Lock()
job := q.jobs[0]
q.jobs = q.jobs[1:]
q.mutex.Unlock()
return job
}
type Job struct {
message string
Type string
}
func (j *Job) Run() {
fmt.Println(j.message)
}
var jobsInQueue = prometheus.NewGaugeVec(
prometheus.GaugeOpts{
Name: "jobs_in_queue",
Help: "Current number of jobs in the queue",
},
[]string{"job_type"},
)
var register = prometheus.NewRegistry()
var queue = &Queue{}
func init() {
rand.Seed(2)
// prometheus.MustRegister(jobsInQueue)
// register the collector..
register.MustRegister(jobsInQueue)
queue.jobs = make([]Job, 0)
}
func main() {
go func() {
i := 0
for {
job := Job{}
num := rand.Intn(2)
type_d := Types[num]
job.Type = type_d
job.message = fmt.Sprintf("[%s] job %d", type_d, i)
enqueueJob(job)
fmt.Println(i)
i++
time.Sleep(1 * time.Second)
}
}()
// sleep so that we do not read from a empty queue
time.Sleep(2 * time.Millisecond)
go func() {
for {
runNextJob()
time.Sleep(2 * time.Second)
}
}()
http.Handle("/metrics", promhttp.Handler())
log.Fatal(http.ListenAndServe(":8080", nil))
}
func enqueueJob(job Job) {
queue.Add(job)
jobsInQueue.WithLabelValues(job.Type).Inc()
}
func runNextJob() {
job := queue.Dequeue()
jobsInQueue.WithLabelValues(job.Type).Dec()
job.Run()
}
但是当我运行以下代码时，我没有jobs_in_queue在/metrics端点中看到我的 ie指标8080。
我怎么能得到这份工作。