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https://github.com/prometheus-community/windows_exporter.git
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Add cpu metrics based on newer and more accurate perflib sources
This change adds 4 new CPU related metrics: * process_mperf_total * processor_rtc_total * processor_utility_total * processor_privileged_utility_total and renames the existing process_performance to processor_performance_total, since it was previously misunderstood and was unlikely to be have been useful without the above new metrics The data sources for these are not particularly well understood, and the examples show that in some cases, arbitrary scaling factors are required to actually make them useful, but in my testing on hundreds of systems with a broad range of CPUs and operating systems from 2012r2 through to 2019 has proved out that we can use them to accurately display actual CPU frequencies and CPU utilisation as it is represented in taskmgr. Things I don't particularly like and would like input on: * I would have preferred to do the scaling of processor_mperf_total in the code, but there isn't an elegant way of doing this right now. * Maybe processor_mperf_total should be called processor_mperformance_total. See #787 for discussion. Signed-off-by: Steffen Higel <higels@valvesoftware.com>
This commit is contained in:
@@ -37,6 +37,10 @@ type cpuCollectorFull struct {
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ProcessorFrequencyMHz *prometheus.Desc
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ProcessorMaxFrequencyMHz *prometheus.Desc
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ProcessorPerformance *prometheus.Desc
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ProcessorMPerf *prometheus.Desc
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ProcessorRTC *prometheus.Desc
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ProcessorUtility *prometheus.Desc
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ProcessorPrivUtility *prometheus.Desc
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}
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// newCPUCollector constructs a new cpuCollector, appropriate for the running OS
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@@ -129,11 +133,35 @@ func newCPUCollector() (Collector, error) {
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nil,
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),
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ProcessorPerformance: prometheus.NewDesc(
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prometheus.BuildFQName(Namespace, subsystem, "processor_performance"),
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prometheus.BuildFQName(Namespace, subsystem, "processor_performance_total"),
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"Processor Performance is the average performance of the processor while it is executing instructions, as a percentage of the nominal performance of the processor. On some processors, Processor Performance may exceed 100%",
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[]string{"core"},
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nil,
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),
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ProcessorMPerf: prometheus.NewDesc(
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prometheus.BuildFQName(Namespace, subsystem, "processor_mperf_total"),
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"Processor MPerf is the number of TSC ticks incremented while executing instructions",
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[]string{"core"},
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nil,
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),
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ProcessorRTC: prometheus.NewDesc(
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prometheus.BuildFQName(Namespace, subsystem, "processor_rtc_total"),
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"Processor RTC represents the number of RTC ticks made since the system booted. It should consistently be 64e6, and can be used to properly derive Processor Utility Rate",
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[]string{"core"},
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nil,
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),
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ProcessorUtility: prometheus.NewDesc(
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prometheus.BuildFQName(Namespace, subsystem, "processor_utility_total"),
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"Processor Utility represents is the amount of time the core spends executing instructions",
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[]string{"core"},
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nil,
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),
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ProcessorPrivUtility: prometheus.NewDesc(
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prometheus.BuildFQName(Namespace, subsystem, "processor_privileged_utility_total"),
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"Processor Privilieged Utility represents is the amount of time the core has spent executing instructions inside the kernel",
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[]string{"core"},
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nil,
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),
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}, nil
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}
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@@ -258,8 +286,10 @@ type perflibProcessorInformation struct {
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PrivilegedUtilitySeconds float64 `perflib:"% Privileged Utility"`
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ProcessorFrequencyMHz float64 `perflib:"Processor Frequency"`
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ProcessorPerformance float64 `perflib:"% Processor Performance"`
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ProcessorMPerf float64 `perflib:"% Processor Performance,secondvalue"`
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ProcessorTimeSeconds float64 `perflib:"% Processor Time"`
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ProcessorUtilityRate float64 `perflib:"% Processor Utility"`
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ProcessorRTC float64 `perflib:"% Processor Utility,secondvalue"`
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UserTimeSeconds float64 `perflib:"% User Time"`
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}
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@@ -366,10 +396,34 @@ func (c *cpuCollectorFull) Collect(ctx *ScrapeContext, ch chan<- prometheus.Metr
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)
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ch <- prometheus.MustNewConstMetric(
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c.ProcessorPerformance,
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prometheus.GaugeValue,
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prometheus.CounterValue,
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cpu.ProcessorPerformance,
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core,
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)
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ch <- prometheus.MustNewConstMetric(
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c.ProcessorMPerf,
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prometheus.CounterValue,
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cpu.ProcessorMPerf,
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core,
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)
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ch <- prometheus.MustNewConstMetric(
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c.ProcessorRTC,
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prometheus.CounterValue,
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cpu.ProcessorRTC,
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core,
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)
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ch <- prometheus.MustNewConstMetric(
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c.ProcessorUtility,
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prometheus.CounterValue,
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cpu.ProcessorUtilityRate,
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core,
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)
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ch <- prometheus.MustNewConstMetric(
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c.ProcessorPrivUtility,
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prometheus.CounterValue,
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cpu.PrivilegedUtilitySeconds,
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core,
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)
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}
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return nil
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@@ -4,6 +4,7 @@ import (
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"fmt"
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"reflect"
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"strconv"
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"strings"
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perflibCollector "github.com/leoluk/perflib_exporter/collector"
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"github.com/leoluk/perflib_exporter/perflib"
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@@ -67,6 +68,16 @@ func unmarshalObject(obj *perflib.PerfObject, vs interface{}) error {
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if tag == "" {
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continue
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}
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secondValue := false
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st := strings.Split(tag, ",")
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tag = st[0]
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for _, t := range st {
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if t == "secondvalue" {
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secondValue = true
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}
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}
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ctr, found := counters[tag]
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if !found {
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@@ -80,6 +91,14 @@ func unmarshalObject(obj *perflib.PerfObject, vs interface{}) error {
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return fmt.Errorf("tagged field %v has wrong type %v, must be float64", f.Name, fieldType)
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}
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if secondValue {
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if !ctr.Def.HasSecondValue {
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return fmt.Errorf("tagged field %v expected a SecondValue, which was not present", f.Name)
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}
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target.Field(i).SetFloat(float64(ctr.SecondValue))
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continue
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}
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switch ctr.Def.CounterType {
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case perflibCollector.PERF_ELAPSED_TIME:
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target.Field(i).SetFloat(float64(ctr.Value-windowsEpoch) / float64(obj.Frequency))
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@@ -11,6 +11,7 @@ import (
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type simple struct {
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ValA float64 `perflib:"Something"`
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ValB float64 `perflib:"Something Else"`
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ValC float64 `perflib:"Something Else,secondvalue"`
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}
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func TestUnmarshalPerflib(t *testing.T) {
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@@ -62,16 +63,18 @@ func TestUnmarshalPerflib(t *testing.T) {
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},
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{
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Def: &perflib.PerfCounterDef{
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Name: "Something Else",
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CounterType: perflibCollector.PERF_COUNTER_COUNTER,
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Name: "Something Else",
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CounterType: perflibCollector.PERF_COUNTER_COUNTER,
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HasSecondValue: true,
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},
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Value: 256,
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Value: 256,
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SecondValue: 222,
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},
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},
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},
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},
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},
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expectedOutput: []simple{{ValA: 123, ValB: 256}},
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expectedOutput: []simple{{ValA: 123, ValB: 256, ValC: 222}},
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expectError: false,
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},
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{
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