Esempio n. 1
0
// FillPrometheusMetric fills the appropriate metric fields.
func (h *Histogram) FillPrometheusMetric(promMetric *prometheusgo.MetricFamily) {
	// TODO(mjibson): change to a Histogram once bucket counts are reasonable
	sum := &prometheusgo.Summary{}

	h.mu.Lock()
	maybeTick(h)
	merged := h.windowed.Merge()
	for _, b := range merged.CumulativeDistribution() {
		sum.Quantile = append(sum.Quantile, &prometheusgo.Quantile{
			Quantile: proto.Float64(b.Quantile),
			Value:    proto.Float64(float64(b.ValueAt)),
		})
	}
	sum.SampleCount = proto.Uint64(uint64(merged.TotalCount()))
	h.mu.Unlock()

	promMetric.Type = prometheusgo.MetricType_SUMMARY.Enum()
	promMetric.Metric = []*prometheusgo.Metric{
		{Summary: sum},
	}
}
Esempio n. 2
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// FillPrometheusMetric fills the appropriate metric fields.
func (g *GaugeFloat64) FillPrometheusMetric(promMetric *prometheusgo.MetricFamily) {
	promMetric.Type = prometheusgo.MetricType_GAUGE.Enum()
	promMetric.Metric = []*prometheusgo.Metric{
		{Gauge: &prometheusgo.Gauge{Value: proto.Float64(g.GaugeFloat64.Value())}},
	}
}
Esempio n. 3
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// FillPrometheusMetric fills the appropriate metric fields.
func (c *Counter) FillPrometheusMetric(promMetric *prometheusgo.MetricFamily) {
	promMetric.Type = prometheusgo.MetricType_COUNTER.Enum()
	promMetric.Metric = []*prometheusgo.Metric{
		{Counter: &prometheusgo.Counter{Value: proto.Float64(float64(c.Counter.Count()))}},
	}
}