Files
weave-scope/vendor/github.com/go-kit/kit/metrics/pcp/pcp.go
Marc Carré 652cc90f98 Update weaveworks/common to latest version
```
$ gvt delete github.com/weaveworks/common
$ gvt fetch --revision 4d96fd8dcf2c7b417912c6219b310112cb4a4626 github.com/weaveworks/common
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```
2018-07-23 20:10:13 +02:00

126 lines
4.0 KiB
Go

package pcp
import (
"github.com/performancecopilot/speed"
"github.com/go-kit/kit/metrics"
)
// Reporter encapsulates a speed client.
type Reporter struct {
c *speed.PCPClient
}
// NewReporter creates a new Reporter instance. The first parameter is the
// application name and is used to create the speed client. Hence it should be a
// valid speed parameter name and should not contain spaces or the path
// separator for your operating system.
func NewReporter(appname string) (*Reporter, error) {
c, err := speed.NewPCPClient(appname)
if err != nil {
return nil, err
}
return &Reporter{c}, nil
}
// Start starts the underlying speed client so it can start reporting registered
// metrics to your PCP installation.
func (r *Reporter) Start() { r.c.MustStart() }
// Stop stops the underlying speed client so it can stop reporting registered
// metrics to your PCP installation.
func (r *Reporter) Stop() { r.c.MustStop() }
// Counter implements metrics.Counter via a single dimensional speed.Counter.
type Counter struct {
c speed.Counter
}
// NewCounter creates a new Counter. This requires a name parameter and can
// optionally take a couple of description strings, that are used to create the
// underlying speed.Counter and are reported by PCP.
func (r *Reporter) NewCounter(name string, desc ...string) (*Counter, error) {
c, err := speed.NewPCPCounter(0, name, desc...)
if err != nil {
return nil, err
}
r.c.MustRegister(c)
return &Counter{c}, nil
}
// With is a no-op.
func (c *Counter) With(labelValues ...string) metrics.Counter { return c }
// Add increments Counter. speed.Counters only take int64, so delta is converted
// to int64 before observation.
func (c *Counter) Add(delta float64) { c.c.Inc(int64(delta)) }
// Gauge implements metrics.Gauge via a single dimensional speed.Gauge.
type Gauge struct {
g speed.Gauge
}
// NewGauge creates a new Gauge. This requires a name parameter and can
// optionally take a couple of description strings, that are used to create the
// underlying speed.Gauge and are reported by PCP.
func (r *Reporter) NewGauge(name string, desc ...string) (*Gauge, error) {
g, err := speed.NewPCPGauge(0, name, desc...)
if err != nil {
return nil, err
}
r.c.MustRegister(g)
return &Gauge{g}, nil
}
// With is a no-op.
func (g *Gauge) With(labelValues ...string) metrics.Gauge { return g }
// Set sets the value of the gauge.
func (g *Gauge) Set(value float64) { g.g.Set(value) }
// Add adds a value to the gauge.
func (g *Gauge) Add(delta float64) { g.g.Inc(delta) }
// Histogram wraps a speed Histogram.
type Histogram struct {
h speed.Histogram
}
// NewHistogram creates a new Histogram. The minimum observeable value is 0. The
// maximum observeable value is 3600000000 (3.6e9).
//
// The required parameters are a metric name, the minimum and maximum observable
// values, and a metric unit for the units of the observed values.
//
// Optionally, it can also take a couple of description strings.
func (r *Reporter) NewHistogram(name string, min, max int64, unit speed.MetricUnit, desc ...string) (*Histogram, error) {
h, err := speed.NewPCPHistogram(name, min, max, 5, unit, desc...)
if err != nil {
return nil, err
}
r.c.MustRegister(h)
return &Histogram{h}, nil
}
// With is a no-op.
func (h *Histogram) With(labelValues ...string) metrics.Histogram { return h }
// Observe observes a value.
//
// This converts float64 value to int64 before observation, as the Histogram in
// speed is backed using codahale/hdrhistogram, which only observes int64
// values. Additionally, the value is interpreted in the metric unit used to
// construct the histogram.
func (h *Histogram) Observe(value float64) { h.h.MustRecord(int64(value)) }
// Mean returns the mean of the values observed so far by the Histogram.
func (h *Histogram) Mean() float64 { return h.h.Mean() }
// Percentile returns a percentile value for the given percentile
// between 0 and 100 for all values observed by the histogram.
func (h *Histogram) Percentile(p float64) int64 { return h.h.Percentile(p) }