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percentile_distsummary.go
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percentile_distsummary.go
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package histogram
import (
"fmt"
"github.com/Netflix/spectator-go"
)
var distTagValues []string
func init() {
length := PercentileBucketsLength()
distTagValues = make([]string, length)
for i := 0; i < length; i++ {
distTagValues[i] = fmt.Sprintf("D%04X", i)
}
}
// PercentileDistributionSummary is a distribution summary used to track the
// distribution of events, while also presenting the results as percentiles.
type PercentileDistributionSummary struct {
registry *spectator.Registry
id *spectator.Id
summary *spectator.DistributionSummary
counters []*spectator.Counter
}
// NewPercentileDistributionSummary creates a new *PercentileDistributionSummary using the registry to create the meter identifier.
func NewPercentileDistributionSummary(registry *spectator.Registry, name string, tags map[string]string) *PercentileDistributionSummary {
return NewPercentileDistributionSummaryWithId(registry, registry.NewId(name, tags))
}
// NewPercentileDistributionSummaryWithId creates a new *PercentileDistributionSummary using the meter identifier.
func NewPercentileDistributionSummaryWithId(registry *spectator.Registry, id *spectator.Id) *PercentileDistributionSummary {
ds := registry.DistributionSummaryWithId(id)
counters := make([]*spectator.Counter, PercentileBucketsLength())
for i := 0; i < PercentileBucketsLength(); i++ {
counters[i] = counterFor(registry, id, i, distTagValues)
}
return &PercentileDistributionSummary{registry: registry, id: id, summary: ds, counters: counters}
}
// Record records a new value to track within the distribution.
func (t *PercentileDistributionSummary) Record(amount int64) {
t.summary.Record(amount)
t.counters[PercentileBucketsIndex(amount)].Increment()
}
// Count returns the number of unique events that have been tracked.
func (t *PercentileDistributionSummary) Count() int64 {
return t.summary.Count()
}
// TotalAmount is the total of all records summed together.
func (t *PercentileDistributionSummary) TotalAmount() int64 {
return t.summary.TotalAmount()
}
// Percentile returns the distribution for a specific percentile.
func (t *PercentileDistributionSummary) Percentile(p float64) float64 {
counts := make([]int64, PercentileBucketsLength())
for i, c := range t.counters {
counts[i] = int64(c.Count())
}
return PercentileBucketsPercentile(counts, p)
}