victoriaMetrics无法获取抓取target的问题

Posted 2022-05-10 格格巫 MMQ!!

问题描述
最近在新环境中部署了一个服务，其暴露的指标路径为:10299/metrics，配置文件如下(名称字段有修改)：

apiVersion: v1
items:

• apiVersion: operator.victoriametrics.com/v1beta1
  kind: VMServiceScrape
  metadata:
  labels:
  app_id: audit
  name: audit
  namespace: default
  spec:
  endpoints:
  • path: /metrics
    targetPort: 10299
    namespaceSelector:
    matchNames:
    • default
      selector:
      matchLabels:
      app_id: audit
      但在vmagent上查看其状态如下，vmagent无法发现该target：

一般排查方式
确保服务本身没问题，可以通过$podIp:10299/metrics访问到指标
确保vmservicescrape–>service–>enpoints链路是通的，即配置的selector字段能够正确匹配到对应的资源
确保vmservicescrape格式正确。注：vmservicescrape资源格式不正确可能会导致vmagent无法加载配置，可以通过第5点检测到
确保vmagent中允许发现该命名空间中的target
在vmagent的UI界面执行reload，查看vmagent的日志是否有相关错误提示
经过排查发现上述方式均无法解决问题，更奇怪的是在vmagent的api/v1/targets中无法找到该target，说明vmagent压根没有发现该服务，即vmservicescrape配置没有生效。在vmagent中查看上述vmservicescrape生成的配置文件如下(其拼接了静态配置)，可以看到它使用了kubernetes_sd_configs的方式来发现target：

• job_name: serviceScrape/default/audit/0
  metrics_path: /metrics
  relabel_configs:
  • source_labels: [__meta_kubernetes_service_label_app_id]
    regex: audit
    action: keep
  • source_labels: [__meta_kubernetes_pod_container_port_number]
    regex: “10299”
    action: keep
  • source_labels: [__meta_kubernetes_endpoint_address_target_kind, __meta_kubernetes_endpoint_address_target_name]
    separator: ;
    target_label: node
    regex: Node;(.*)
    replacement: $1
  • source_labels: [__meta_kubernetes_endpoint_address_target_kind, __meta_kubernetes_endpoint_address_target_name]
    separator: ;
    target_label: pod
    regex: Pod;(.*)
    replacement: $1
  • source_labels: [__meta_kubernetes_pod_name]
    target_label: pod
  • source_labels: [__meta_kubernetes_pod_container_name]
    target_label: container
  • source_labels: [__meta_kubernetes_namespace]
    target_label: namespace
  • source_labels: [__meta_kubernetes_service_name]
    target_label: service
  • source_labels: [__meta_kubernetes_service_name]
    target_label: job
    replacement: $1
  • target_label: endpoint
    replacement: “8080”
    kubernetes_sd_configs:
  • role: endpoints
    namespaces:
    own_namespace: false
    names:
    • default
      代码分析
      既然配置没有问题，那只能通过victoriametrics的kubernetes_sd_configs的运作方式看下到底是哪里出问题了。在victoriametrics的源码可以看到其拼接的target url如下：

scrapeURL := fmt.Sprintf(“%s://%s%s%s%s”, schemeRelabeled, addressRelabeled, metricsPathRelabeled, optionalQuestion, paramsStr)
其中：

schemeRelabeled：默认是http
metricsPathRelabeled：即生成的配置文件的metrics_path字段
optionalQuestion和paramsStr没有配置，可以忽略
最主要的字段就是addressRelabeled，它来自一个名为"address"的标签

func mergeLabels(swc *scrapeWorkConfig, target string, extraLabels, metaLabels map[string]string) []prompbmarshal.Label
…
m[“job”] = swc.jobName
m[“address”] = target
m[“scheme”] = swc.scheme
m[“metrics_path”] = swc.metricsPath
m[“scrape_interval”] = swc.scrapeInterval.String()
m[“scrape_timeout”] = swc.scrapeTimeout.String()
…

继续跟踪代码，可以看到该标签是通过sc.KubernetesSDConfigs[i].MustStart获取到的，从KubernetesSDConfigs的名称上看，它就是负责处理kubernetes_sd_configs机制的：

func (sc *ScrapeConfig) mustStart(baseDir string)
swosFunc := func(metaLabels map[string]string) interface
target := metaLabels[“address”]
sw, err := sc.swc.getScrapeWork(target, nil, metaLabels)
if err != nil
logger.Errorf(“cannot create kubernetes_sd_config target %q for job_name %q: %s”, target, sc.swc.jobName, err)
return nil

return sw

for i := range sc.KubernetesSDConfigs
sc.KubernetesSDConfigs[i].MustStart(baseDir, swosFunc)


继续往下看，看看这个"address"字段到底是什么，函数调用如下：

MustStart–> cfg.aw.mustStart --> aw.gw.startWatchersForRole --> uw.reloadScrapeWorksForAPIWatchersLocked --> o.getTargetLabels

最后一个函数getTargetLabels是个接口方法：

type object interface
key() string

// getTargetLabels must be called under gw.mu lock.
getTargetLabels(gw *groupWatcher) []map[string]string

getTargetLabels的实现如下，这就是kubernetes_sd_configs的各个role的具体实现。上述服务用到的是kubernetes_sd_configsrole为endpoints：

其实现如下：

func (eps *Endpoints) getTargetLabels(gw *groupWatcher) []map[string]string
var svc *Service
if o := gw.getObjectByRoleLocked(“service”, eps.Metadata.Namespace, eps.Metadata.Name); o != nil
svc = o.(*Service)

podPortsSeen := make(map[*Pod][]int)
var ms []map[string]string
for _, ess := range eps.Subsets
for _, epp := range ess.Ports
ms = appendEndpointLabelsForAddresses(ms, gw, podPortsSeen, eps, ess.Addresses, epp, svc, “true”)
ms = appendEndpointLabelsForAddresses(ms, gw, podPortsSeen, eps, ess.NotReadyAddresses, epp, svc, “false”)


// See https://kubernetes.io/docs/reference/labels-annotations-taints/#endpoints-kubernetes-io-over-capacity
// and https://github.com/kubernetes/kubernetes/pull/99975
switch eps.Metadata.Annotations.GetByName(“endpoints.kubernetes.io/over-capacity”)
case “truncated”:
logger.Warnf(the number of targets for "role: endpoints" %q exceeds 1000 and has been truncated; please use "role: endpointslice" instead, eps.Metadata.key())
case “warning”:
logger.Warnf(the number of targets for "role: endpoints" %q exceeds 1000 and will be truncated in the next k8s releases; please use "role: endpointslice" instead, eps.Metadata.key())

// Append labels for skipped ports on seen pods.
portSeen := func(port int, ports []int) bool 
	for _, p := range ports 
		if p == port 
			return true
		
	
	return false

for p, ports := range podPortsSeen 
	for _, c := range p.Spec.Containers 
		for _, cp := range c.Ports 
			if portSeen(cp.ContainerPort, ports) 
				continue
			
			addr := discoveryutils.JoinHostPort(p.Status.PodIP, cp.ContainerPort)
			m := map[string]string
				"__address__": addr,
			
			p.appendCommonLabels(m)
			p.appendContainerLabels(m, c, &cp)
			if svc != nil 
				svc.appendCommonLabels(m)
			
			ms = append(ms, m)
		
	

return ms

可以看到，"address"其实就是拼接了p.Status.PodIP和cp.ContainerPort，而p则代表一个kubernetes的pod数据结构，因此要求：

pod状态是running的，且能够正确分配到PodIP
p.Spec.Containers[].ports[].ContainerPort中配置了暴露metrics target的端口
问题解决
鉴于上述分析，查看了一下环境中的deployment，发现该deployment只配置了8080端口，并没有配置暴露指标的端口10299。问题解决。

apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app_id: audit
name: audit
namespace: default
spec:
…
template:
metadata:
…
spec:
containers:
- env:
- name: APP_ID
value: audit
ports:
- containerPort: 8080
protocol: TCP