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metrics: add histogram support
Add initial histogram support. Updates tailscale/corp#8641 Signed-off-by: Maisem Ali <maisem@tailscale.com>
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@ -5,7 +5,14 @@
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// Tailscale for monitoring.
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package metrics
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import "expvar"
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import (
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"expvar"
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"fmt"
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"io"
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"strings"
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"golang.org/x/exp/slices"
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)
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// Set is a string-to-Var map variable that satisfies the expvar.Var
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// interface.
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@ -66,3 +73,92 @@ func (m *LabelMap) GetFloat(key string) *expvar.Float {
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func CurrentFDs() int {
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return currentFDs()
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}
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// Histogram is a histogram of values.
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// It should be created with NewHistogram.
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type Histogram struct {
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// buckets is a list of bucket boundaries, in increasing order.
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buckets []float64
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// bucketStrings is a list of the same buckets, but as strings.
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// This are allocated once at creation time by NewHistogram.
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bucketStrings []string
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bucketVars []expvar.Int
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sum expvar.Float
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count expvar.Int
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}
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// NewHistogram returns a new histogram that reports to the given
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// expvar map under the given name.
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//
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// The buckets are the boundaries of the histogram buckets, in
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// increasing order. The last bucket is +Inf.
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func NewHistogram(buckets []float64) *Histogram {
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if !slices.IsSorted(buckets) {
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panic("buckets must be sorted")
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}
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labels := make([]string, len(buckets))
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for i, b := range buckets {
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labels[i] = fmt.Sprintf("%v", b)
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}
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h := &Histogram{
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buckets: buckets,
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bucketStrings: labels,
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bucketVars: make([]expvar.Int, len(buckets)),
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}
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return h
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}
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// Observe records a new observation in the histogram.
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func (h *Histogram) Observe(v float64) {
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h.sum.Add(v)
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h.count.Add(1)
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for i, b := range h.buckets {
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if v <= b {
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h.bucketVars[i].Add(1)
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}
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}
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}
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// String returns a JSON representation of the histogram.
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// This is used to satisfy the expvar.Var interface.
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func (h *Histogram) String() string {
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var b strings.Builder
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fmt.Fprintf(&b, "{")
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first := true
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h.Do(func(kv expvar.KeyValue) {
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if !first {
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fmt.Fprintf(&b, ",")
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}
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fmt.Fprintf(&b, "%q: ", kv.Key)
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if kv.Value != nil {
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fmt.Fprintf(&b, "%v", kv.Value)
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} else {
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fmt.Fprint(&b, "null")
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}
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first = false
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})
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fmt.Fprintf(&b, "\"sum\": %v,", &h.sum)
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fmt.Fprintf(&b, "\"count\": %v", &h.count)
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fmt.Fprintf(&b, "}")
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return b.String()
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}
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// Do calls f for each bucket in the histogram.
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func (h *Histogram) Do(f func(expvar.KeyValue)) {
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for i := range h.bucketVars {
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f(expvar.KeyValue{Key: h.bucketStrings[i], Value: &h.bucketVars[i]})
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}
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f(expvar.KeyValue{Key: "+Inf", Value: &h.count})
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}
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// PromExport writes the histogram to w in Prometheus exposition format.
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func (h *Histogram) PromExport(w io.Writer, name string) {
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fmt.Fprintf(w, "# TYPE %s histogram\n", name)
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h.Do(func(kv expvar.KeyValue) {
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fmt.Fprintf(w, "%s_bucket{le=%q} %v\n", name, kv.Key, kv.Value)
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})
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fmt.Fprintf(w, "%s_sum %v\n", name, &h.sum)
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fmt.Fprintf(w, "%s_count %v\n", name, &h.count)
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}
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@ -191,6 +191,8 @@ funcRet = fmt.Sprintf(" returning %T", v)
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v.Do(func(kv expvar.KeyValue) {
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fmt.Fprintf(w, "%s{%s=%q} %v\n", name, cmpx.Or(v.Label, "label"), kv.Key, kv.Value)
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})
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case *metrics.Histogram:
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v.PromExport(w, name)
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case *expvar.Map:
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if label != "" && typ != "" {
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fmt.Fprintf(w, "# TYPE %s %s\n", name, typ)
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