PromQL

# 指标
node_cpu_seconds_total
# 标签过滤，支持操作符号 = != 匹配 =~ 不匹配 !~
node_cpu_seconds_total{mode="user"}
# 5 分钟均值
rate(node_cpu_seconds_total{mode="user"}[5m])
# 聚合结果
sum(rate(node_cpu_seconds_total{mode="user"}[5m]))
# 按照 mode 分组
sum(rate(node_cpu_seconds_total[5m])) by (mode)
# 不看 idle 和 nice
sum(rate(node_cpu_seconds_total{mode!~"idle|nice"}[5m])) by (mode)
# 只看 user 和 system
sum(rate(node_cpu_seconds_total{mode=~"user|system"}[5m])) by (mode)
# 分别返回
# by (mode) 是必须的，如果丢失了 label，则会认为是同样的指标，会被丢弃
sum(rate(node_cpu_seconds_total{mode="user"}[5m])) by (mode) or sum(rate(node_cpu_seconds_total{mode="system"}[5m])) by (mode)
# 结果加上另外一个指标
sum(rate(node_cpu_seconds_total{mode=~"user|system"}[5m])) by (mode) or node_load15

# unifiVapNumStations 结果 join unifiVapEssId label
sum(unifiVapNumStations * on(unifiVapIndex,instance) group_left(unifiVapEssId) unifiVapEssId{}) by (unifiVapEssId)

# 替换标签
# grafana 里能让一列出现两次
# 但 grafana 不能全文匹配 https://github.com/grafana/grafana/issues/11418
label_replace(unifiIfMac, "unifiLabel", "$0", "unifiIfMac", ".+")

-- Histogram
-- =========
-- Heatmap
-- increase 让 value 变为整数, rate 则是比例
-- legend {{le}}
sum(increase(body_size_bucket[5m])) by (le)

--
histogram_quantile(0.50, sum(rate(body_size_bucket[$__rate_interval])) by (le))
histogram_quantile(0.90, sum(rate(body_size_bucket[$__rate_interval])) by (le))
histogram_quantile(0.95, sum(rate(body_size_bucket[$__rate_interval])) by (le))
histogram_quantile(0.99, sum(rate(body_size_bucket[$__rate_interval])) by (le))

# 查询在线节点
{__name__=~"probe_success|up"}
# 成功率
sum({__name__=~"probe_success|up"})/count({__name__=~"probe_success|up"})*100
# 全节点信息
label_replace({__name__=~"probe_success|up"}, "instance_ip", "$2", "instance", "(192[.]168[.]|http?://)?([0-9.+]+|.*).*")

# 排除 kube 内置组件
{job!~"apiserver|kubelet"}