Question

...或“ count_over_time如何工作？”

给出以下向量和值：

kube_job_created{
  app="prometheus",
  chart="prometheus-7.1.0",
  component="kube-state-metrics",
  heritage="Tiller",
  instance="100.96.2.23:8080",
  job="kubernetes-service-endpoints",
  job_name="foobar-24150",
  kubernetes_name="prometheus-kube-state-metrics",
  kubernetes_namespace="devops",
  namespace="devops",
  nodename="ip-1-1-1-1.ap-southeast-2.compute.internal",
  release="prometheus"
} 1538008393

计算整个向量将返回1：

count(kube_job_created{app="prometheus",chart="prometheus-7.1.0",component="kube-state-metrics",heritage="Tiller",instance="100.96.2.23:8080",job="kubernetes-service-endpoints",job_name="braze-user-attribute-sync-24150",kubernetes_name="prometheus-kube-state-metrics",kubernetes_namespace="devops",namespace="devops",nodename="ip-10-10-4-112.ap-southeast-2.compute.internal",release="prometheus"})

结果：

{} 1

现在，count_over_time随范围矢量选择器而不同：

1m：

count_over_time(kube_job_created{app="prometheus",chart="prometheus-7.1.0",component="kube-state-metrics",heritage="Tiller",instance="100.96.2.23:8080",job="kubernetes-service-endpoints",job_name="braze-user-attribute-sync-24150",kubernetes_name="prometheus-kube-state-metrics",kubernetes_namespace="devops",namespace="devops",nodename="ip-10-10-4-112.ap-southeast-2.compute.internal",release="prometheus"}[1m])

结果为“ 2”：

{app="prometheus",chart="prometheus-7.1.0",component="kube-state-metrics",heritage="Tiller",instance="100.96.2.23:8080",job="kubernetes-service-endpoints",job_name="braze-user-attribute-sync-24150",kubernetes_name="prometheus-kube-state-metrics",kubernetes_namespace="devops",namespace="devops",nodename="ip-10-10-4-112.ap-southeast-2.compute.internal",release="prometheus"} 2

1h返回120
24小时返回2880

随着时间的推移到底是什么？

Answer 1

count_over_time对每个时间序列计算范围内的样本数。像所有_over_time函数一样，它一次可跨一个时间序列的所有样本工作。

如果您想要即时矢量中的时间序列数，则count聚合器会告诉您。

为什么`count_over_time`在不匹配原始数据的情况下增加？

1 个答案: