二、使用脚本模拟数据

1.这里使用golang写的一个脚本模拟生产上的不同租户ID，不同渠道及不同门店的订单数据在订单服务流转耗时，代码如下：

 

代码结构：

```

C:.
│  go.mod
│  go.sum
│  main.go
└─metrics
        metrics.go

```

metrics.go

```

package metrics

import (
   "github.com/prometheus/client_golang/prometheus"
   "strconv"
   "time"
)

var SyncExecuteLatencyTimeBuckets = []float64{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}

var orderSyncPosTimeFromAcceptVec = prometheus.NewHistogramVec(
   prometheus.HistogramOpts{
      Name:    "order_sync_pos_time_from_accept",
      Help:    "订单在OMS系统的流转时间",
      Buckets: SyncExecuteLatencyTimeBuckets,
   },
   []string{"partner_id", "channel_id", "store_id", "cost_time"},
)

var orderSyncPosFailTotalVec = prometheus.NewCounterVec(
   prometheus.CounterOpts{
      Name: "order_sync_pos_fail_total",
      Help: "下发订单至POS请求失败",
   },
   []string{"partner_id", "channel_id", "store_id", "is_time_out"},
)

// TODO: 添加补偿相关的metric, 如补偿次数(hist)

func init() {
   prometheus.MustRegister(orderSyncPosTimeFromAcceptVec)
   prometheus.MustRegister(orderSyncPosFailTotalVec)
}

func AddOrderSyncPosTimeFromAccept(partnerId, channelId, storeId string, costTime time.Duration) {
   orderSyncPosTimeFromAcceptVec.WithLabelValues(partnerId, channelId, storeId, "cost_time").Observe(costTime.Seconds())
}

func AddOrderSyncPosFailTotal(partnerId, channelId, storeId string, isTimeOut bool) {
   orderSyncPosFailTotalVec.WithLabelValues(partnerId, channelId, storeId, strconv.FormatBool(isTimeOut)).Inc()
}

```

 

main.go

```

package main

import (
   "example.com/m/metrics"
   "fmt"
   "gitee.com/yutiandou/wdtools/wdsys"
   "github.com/prometheus/client_golang/prometheus"
   "github.com/prometheus/client_golang/prometheus/promhttp"
   "log"
   "math/rand"
   "net/http"
   "time"
)

func IndexHandler(w http.ResponseWriter, r *http.Request) {
   fmt.Fprintln(w, "hello world")
}

func main() {
   http.Handle("/metrics", promhttp.Handler())
   http.HandleFunc("/", IndexHandler)
   //新建一个容器，设置name
   diskPercent := prometheus.NewGaugeVec(prometheus.GaugeOpts{
      Name: "cpu_percent",
      Help: "cpu use percent",
   },
      []string{"percent"},
   )
   //将容器注入到prometheus中
   prometheus.MustRegister(diskPercent)

   go func() {
      log.Fatal(http.ListenAndServe(":1010", nil))
   }()

   for i := 0; i < 5; i++ {
      go func() {
         for {
            rand.Seed(time.Now().Unix())
            nowTime := time.Now()
            time.Sleep(time.Second * time.Duration(rand.Intn(10)))
            //partnerIdList := []string{"200", "201", "206", "211", "231", "236", "251", "256", "261", "266", "281", "292", "311", "316", "366", "376", "381", "241", "336"}
            partnerIdList := []string{"200", "201", "206", "211", "231"}
            //channelIdList := []string{"1001", "1002", "1003", "1004", "1005"}
            //storeIdList := []string{"2001", "2002", "2003", "2004", "2005"}
            channelIdList := []string{"1001"}
            storeIdList := []string{"2001"}
            partnerId := partnerIdList[rand.Intn(len(partnerIdList))]
            channelId := channelIdList[rand.Intn(len(channelIdList))]
            storeId := storeIdList[rand.Intn(len(storeIdList))]
            metrics.AddOrderSyncPosTimeFromAccept(partnerId, "channel"+channelId, "store"+storeId, time.Since(nowTime))
            metrics.AddOrderSyncPosFailTotal(partnerId, "channel"+channelId, "store"+storeId, time.Now().Second()%2 == 0)
            time.Sleep(3 * time.Second)
         }
      }()
   }

   for true {
      //获取cpu使用百分比
      percent, _ := wdsys.GetCpuPercent()
      //设置到容器中
      diskPercent.WithLabelValues("usedCPU").Set(percent)
      fmt.Println("cpu usd percent:", percent)
      <-time.After(time.Second * 3)
   }
}

```

 

2.主要是用了这两个文件，操作步骤例如(前提自行安装golang，如yum install golang)：

```

cd ~ && mkdir demo03 && cd demo03

go mod init example.com/m

vim main.go（将main.go的内容复制进去）

mkdir metrics && cd metrics

vim metrics.go（将metrics.go的内容复制进去）

cd ..

go mod tidy

go run main.go

```

 

3.接第一章，接下来,需要修改prometheus.yml文件，然后docker-compose restart

3.1修改prometheus.yml

```

global:
scrape_interval: 15s
external_labels:
monitor: 'codelab-monitor'
scrape_configs:
- job_name: 'go'
scrape_interval: 5s
metrics_path: /metrics
static_configs:
- targets: ['150.158.96.97:1010']

```

接下来看第三章