mirror of https://github.com/hashicorp/consul
132 lines
3.3 KiB
Go
132 lines
3.3 KiB
Go
package metrics
|
|
|
|
import (
|
|
"fmt"
|
|
"net/http"
|
|
"sort"
|
|
"time"
|
|
)
|
|
|
|
// MetricsSummary holds a roll-up of metrics info for a given interval
|
|
type MetricsSummary struct {
|
|
Timestamp string
|
|
Gauges []GaugeValue
|
|
Points []PointValue
|
|
Counters []SampledValue
|
|
Samples []SampledValue
|
|
}
|
|
|
|
type GaugeValue struct {
|
|
Name string
|
|
Hash string `json:"-"`
|
|
Value float32
|
|
|
|
Labels []Label `json:"-"`
|
|
DisplayLabels map[string]string `json:"Labels"`
|
|
}
|
|
|
|
type PointValue struct {
|
|
Name string
|
|
Points []float32
|
|
}
|
|
|
|
type SampledValue struct {
|
|
Name string
|
|
Hash string `json:"-"`
|
|
*AggregateSample
|
|
Mean float64
|
|
Stddev float64
|
|
|
|
Labels []Label `json:"-"`
|
|
DisplayLabels map[string]string `json:"Labels"`
|
|
}
|
|
|
|
// deepCopy allocates a new instance of AggregateSample
|
|
func (source *SampledValue) deepCopy() SampledValue {
|
|
dest := *source
|
|
if source.AggregateSample != nil {
|
|
dest.AggregateSample = &AggregateSample{}
|
|
*dest.AggregateSample = *source.AggregateSample
|
|
}
|
|
return dest
|
|
}
|
|
|
|
// DisplayMetrics returns a summary of the metrics from the most recent finished interval.
|
|
func (i *InmemSink) DisplayMetrics(resp http.ResponseWriter, req *http.Request) (interface{}, error) {
|
|
data := i.Data()
|
|
|
|
var interval *IntervalMetrics
|
|
n := len(data)
|
|
switch {
|
|
case n == 0:
|
|
return nil, fmt.Errorf("no metric intervals have been initialized yet")
|
|
case n == 1:
|
|
// Show the current interval if it's all we have
|
|
interval = data[0]
|
|
default:
|
|
// Show the most recent finished interval if we have one
|
|
interval = data[n-2]
|
|
}
|
|
|
|
interval.RLock()
|
|
defer interval.RUnlock()
|
|
|
|
summary := MetricsSummary{
|
|
Timestamp: interval.Interval.Round(time.Second).UTC().String(),
|
|
Gauges: make([]GaugeValue, 0, len(interval.Gauges)),
|
|
Points: make([]PointValue, 0, len(interval.Points)),
|
|
}
|
|
|
|
// Format and sort the output of each metric type, so it gets displayed in a
|
|
// deterministic order.
|
|
for name, points := range interval.Points {
|
|
summary.Points = append(summary.Points, PointValue{name, points})
|
|
}
|
|
sort.Slice(summary.Points, func(i, j int) bool {
|
|
return summary.Points[i].Name < summary.Points[j].Name
|
|
})
|
|
|
|
for hash, value := range interval.Gauges {
|
|
value.Hash = hash
|
|
value.DisplayLabels = make(map[string]string)
|
|
for _, label := range value.Labels {
|
|
value.DisplayLabels[label.Name] = label.Value
|
|
}
|
|
value.Labels = nil
|
|
|
|
summary.Gauges = append(summary.Gauges, value)
|
|
}
|
|
sort.Slice(summary.Gauges, func(i, j int) bool {
|
|
return summary.Gauges[i].Hash < summary.Gauges[j].Hash
|
|
})
|
|
|
|
summary.Counters = formatSamples(interval.Counters)
|
|
summary.Samples = formatSamples(interval.Samples)
|
|
|
|
return summary, nil
|
|
}
|
|
|
|
func formatSamples(source map[string]SampledValue) []SampledValue {
|
|
output := make([]SampledValue, 0, len(source))
|
|
for hash, sample := range source {
|
|
displayLabels := make(map[string]string)
|
|
for _, label := range sample.Labels {
|
|
displayLabels[label.Name] = label.Value
|
|
}
|
|
|
|
output = append(output, SampledValue{
|
|
Name: sample.Name,
|
|
Hash: hash,
|
|
AggregateSample: sample.AggregateSample,
|
|
Mean: sample.AggregateSample.Mean(),
|
|
Stddev: sample.AggregateSample.Stddev(),
|
|
DisplayLabels: displayLabels,
|
|
})
|
|
}
|
|
sort.Slice(output, func(i, j int) bool {
|
|
return output[i].Hash < output[j].Hash
|
|
})
|
|
|
|
return output
|
|
}
|