forked from cerc-io/plugeth
7dc100714d
This PR adds counter metrics for the CPU system and the Geth process. Currently the only metrics available for these items are gauges. Gauges are fine when the consumer scrapes metrics data at the same interval as Geth produces new values (every 3 seconds), but it is likely that most consumers will not scrape that often. Intervals of 10, 15, or maybe even 30 seconds are probably more common. So the problem is, how does the consumer estimate what the CPU was doing in between scrapes. With a counter, it's easy ... you just subtract two successive values and divide by the time to get a nice, accurate average. But with a gauge, you can't do that. A gauge reading is an instantaneous picture of what was happening at that moment, but it gives you no idea about what was going on between scrapes. Taking an average of values is meaningless.
248 lines
7.9 KiB
Go
248 lines
7.9 KiB
Go
package librato
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import (
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"fmt"
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"log"
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"math"
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"regexp"
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"time"
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"github.com/ethereum/go-ethereum/metrics"
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)
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// a regexp for extracting the unit from time.Duration.String
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var unitRegexp = regexp.MustCompile(`[^\\d]+$`)
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// a helper that turns a time.Duration into librato display attributes for timer metrics
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func translateTimerAttributes(d time.Duration) (attrs map[string]interface{}) {
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attrs = make(map[string]interface{})
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attrs[DisplayTransform] = fmt.Sprintf("x/%d", int64(d))
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attrs[DisplayUnitsShort] = string(unitRegexp.Find([]byte(d.String())))
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return
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}
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type Reporter struct {
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Email, Token string
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Namespace string
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Source string
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Interval time.Duration
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Registry metrics.Registry
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Percentiles []float64 // percentiles to report on histogram metrics
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TimerAttributes map[string]interface{} // units in which timers will be displayed
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intervalSec int64
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}
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func NewReporter(r metrics.Registry, d time.Duration, e string, t string, s string, p []float64, u time.Duration) *Reporter {
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return &Reporter{e, t, "", s, d, r, p, translateTimerAttributes(u), int64(d / time.Second)}
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}
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func Librato(r metrics.Registry, d time.Duration, e string, t string, s string, p []float64, u time.Duration) {
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NewReporter(r, d, e, t, s, p, u).Run()
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}
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func (rep *Reporter) Run() {
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log.Printf("WARNING: This client has been DEPRECATED! It has been moved to https://github.com/mihasya/go-metrics-librato and will be removed from rcrowley/go-metrics on August 5th 2015")
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ticker := time.NewTicker(rep.Interval)
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defer ticker.Stop()
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metricsApi := &LibratoClient{rep.Email, rep.Token}
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for now := range ticker.C {
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var metrics Batch
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var err error
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if metrics, err = rep.BuildRequest(now, rep.Registry); err != nil {
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log.Printf("ERROR constructing librato request body %s", err)
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continue
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}
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if err := metricsApi.PostMetrics(metrics); err != nil {
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log.Printf("ERROR sending metrics to librato %s", err)
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continue
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}
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}
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}
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// calculate sum of squares from data provided by metrics.Histogram
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// see http://en.wikipedia.org/wiki/Standard_deviation#Rapid_calculation_methods
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func sumSquares(s metrics.Sample) float64 {
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count := float64(s.Count())
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sumSquared := math.Pow(count*s.Mean(), 2)
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sumSquares := math.Pow(count*s.StdDev(), 2) + sumSquared/count
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if math.IsNaN(sumSquares) {
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return 0.0
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}
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return sumSquares
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}
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func sumSquaresTimer(t metrics.Timer) float64 {
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count := float64(t.Count())
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sumSquared := math.Pow(count*t.Mean(), 2)
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sumSquares := math.Pow(count*t.StdDev(), 2) + sumSquared/count
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if math.IsNaN(sumSquares) {
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return 0.0
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}
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return sumSquares
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}
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func (rep *Reporter) BuildRequest(now time.Time, r metrics.Registry) (snapshot Batch, err error) {
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snapshot = Batch{
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// coerce timestamps to a stepping fn so that they line up in Librato graphs
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MeasureTime: (now.Unix() / rep.intervalSec) * rep.intervalSec,
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Source: rep.Source,
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}
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snapshot.Gauges = make([]Measurement, 0)
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snapshot.Counters = make([]Measurement, 0)
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histogramGaugeCount := 1 + len(rep.Percentiles)
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r.Each(func(name string, metric interface{}) {
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if rep.Namespace != "" {
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name = fmt.Sprintf("%s.%s", rep.Namespace, name)
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}
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measurement := Measurement{}
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measurement[Period] = rep.Interval.Seconds()
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switch m := metric.(type) {
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case metrics.Counter:
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if m.Count() > 0 {
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measurement[Name] = fmt.Sprintf("%s.%s", name, "count")
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measurement[Value] = float64(m.Count())
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measurement[Attributes] = map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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}
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snapshot.Counters = append(snapshot.Counters, measurement)
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}
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case metrics.CounterFloat64:
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if m.Count() > 0 {
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measurement[Name] = fmt.Sprintf("%s.%s", name, "count")
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measurement[Value] = m.Count()
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measurement[Attributes] = map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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}
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snapshot.Counters = append(snapshot.Counters, measurement)
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}
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case metrics.Gauge:
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measurement[Name] = name
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measurement[Value] = float64(m.Value())
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snapshot.Gauges = append(snapshot.Gauges, measurement)
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case metrics.GaugeFloat64:
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measurement[Name] = name
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measurement[Value] = m.Value()
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snapshot.Gauges = append(snapshot.Gauges, measurement)
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case metrics.Histogram:
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if m.Count() > 0 {
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gauges := make([]Measurement, histogramGaugeCount)
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s := m.Sample()
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measurement[Name] = fmt.Sprintf("%s.%s", name, "hist")
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measurement[Count] = uint64(s.Count())
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measurement[Max] = float64(s.Max())
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measurement[Min] = float64(s.Min())
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measurement[Sum] = float64(s.Sum())
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measurement[SumSquares] = sumSquares(s)
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gauges[0] = measurement
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for i, p := range rep.Percentiles {
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gauges[i+1] = Measurement{
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Name: fmt.Sprintf("%s.%.2f", measurement[Name], p),
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Value: s.Percentile(p),
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Period: measurement[Period],
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}
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}
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snapshot.Gauges = append(snapshot.Gauges, gauges...)
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}
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case metrics.Meter:
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measurement[Name] = name
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measurement[Value] = float64(m.Count())
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snapshot.Counters = append(snapshot.Counters, measurement)
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snapshot.Gauges = append(snapshot.Gauges,
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "1min"),
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Value: m.Rate1(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "5min"),
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Value: m.Rate5(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "15min"),
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Value: m.Rate15(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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)
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case metrics.Timer:
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measurement[Name] = name
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measurement[Value] = float64(m.Count())
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snapshot.Counters = append(snapshot.Counters, measurement)
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if m.Count() > 0 {
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libratoName := fmt.Sprintf("%s.%s", name, "timer.mean")
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gauges := make([]Measurement, histogramGaugeCount)
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gauges[0] = Measurement{
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Name: libratoName,
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Count: uint64(m.Count()),
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Sum: m.Mean() * float64(m.Count()),
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Max: float64(m.Max()),
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Min: float64(m.Min()),
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SumSquares: sumSquaresTimer(m),
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Period: int64(rep.Interval.Seconds()),
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Attributes: rep.TimerAttributes,
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}
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for i, p := range rep.Percentiles {
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gauges[i+1] = Measurement{
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Name: fmt.Sprintf("%s.timer.%2.0f", name, p*100),
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Value: m.Percentile(p),
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Period: int64(rep.Interval.Seconds()),
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Attributes: rep.TimerAttributes,
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}
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}
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snapshot.Gauges = append(snapshot.Gauges, gauges...)
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snapshot.Gauges = append(snapshot.Gauges,
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "rate.1min"),
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Value: m.Rate1(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "rate.5min"),
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Value: m.Rate5(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "rate.15min"),
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Value: m.Rate15(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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)
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}
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}
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})
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return
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}
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