【30天精通Prometheus：一站式监控实战指南】第9天：elasticsearch_exporter从入门到实战：安装、配置详解与生产环境搭建指南，超详细

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package main
 
import (
    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    "github.com/prometheus/common/log"
    "github.com/prometheus/common/version"
    "gopkg.in/alecthomas/kingpin.v2"
    "net/http"
)
 
var (
    listenAddress = kingpin.Flag("web.listen-address", "Address to listen on for web interface and telemetry.").
            Default(":9114").String()
    metricsPath = kingpin.Flag("web.telemetry-path", "Path under which to expose metrics.").
            Default("/metrics").String()
)
 
// 定义一个Prometheus指标，例如elasticsearch_up
var elasticsearchUp = prometheus.NewDesc(
    "elasticsearch_up",
    "Whether the Elasticsearch server is up (1 for yes, 0 for no).",
    nil,
    nil,
)
 
// ElasticsearchExporter结构体定义了必要的属性和方法来收集和暴露指标
type ElasticsearchExporter struct {
    // 实现收集指标的方法
}
 
// Describe方法用于注册指标
func (e *ElasticsearchExporter) Describe(ch chan<- *prometheus.Desc) {
    ch <- elasticsearchUp
}
 
// Collect方法用于实际的指标收集逻辑
func (e *ElasticsearchExporter) Collect(ch chan<- prometheus.Metric) {
    // 假设Elasticsearch服务器是运行的，我们设置elasticsearch_up的值为1
    ch <- prometheus.MustNewConstMetric(elasticsearchUp, prometheus.GaugeValue, 1)
}
 
func main() {
    kingpin.Version(version.Print("elasticsearch_exporter"))
    kingpin.HelpFlag.Short('h')
    kingpin.Parse()
 
    log.Infoln("Starting elasticsearch_exporter", version.Info())
    log.Infoln("Build context", version.BuildContext())
 
    // 创建ElasticsearchExporter实例
    exporter := ElasticsearchExporter{}
 
    // 注册指标
    prometheus.MustRegister(&exporter)
 
    // 设置HTTP handler
    http.Handle(*metricsPath, promhttp.Handler())
    http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
        w.Write([]byte(`<html><head><title>Elasticsearch Exporter</title></head><body><h1>Elasticsearch Exporter</h1><p><a href="` + *metricsPath + `">Metrics</a></p></body></html>`))
    })
 
    // 启动HTTP服务器
    log.Infoln("Listening on", *listenAddress)
    if err := http.ListenAndServe(*listenAddress, nil); err != nil {
        log.Fatal(err)
    }
}

这段代码实现了一个简单的Elasticsearch指标导出器。它定义了一个ElasticsearchExporter结构体，实现了Describe和Collect方法来分别注册和收集指标。main函数中创建了这个结构体的实例，并将其注册到Prometheus。然后，它设置了HTTP处理函数，并启动了一个HTTP服务器来监听和响应Prometheus的抓取请求。

【30天精通Prometheus：一站式监控实战指南】第9天：elasticsearch_exporter从入门到实战：安装、配置详解与生产环境搭建指南，超详细

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