mirror of
https://github.com/golang/go
synced 2024-11-19 05:44:40 -07:00
d9ab56aa29
This changes to use a mutex and directly execute the less performance sensitive telemetry calls (tracing and logging) and then uses a submission queue only for stats adjustments as those are much more sensitive (but it should also be easier to keep up with them in bursts) Fixes golang/go#33692 Change-Id: Ia59a8975f21dfbfcf115be1f1d11b097be8dd9c8 Reviewed-on: https://go-review.googlesource.com/c/tools/+/190737 Run-TryBot: Ian Cottrell <iancottrell@google.com> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Rebecca Stambler <rstambler@golang.org> Reviewed-by: Emmanuel Odeke <emm.odeke@gmail.com>
124 lines
3.6 KiB
Go
124 lines
3.6 KiB
Go
// Copyright 2019 The Go Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package prometheus
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import (
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"bytes"
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"context"
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"fmt"
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"net/http"
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"sort"
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"sync"
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"golang.org/x/tools/internal/telemetry"
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"golang.org/x/tools/internal/telemetry/metric"
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)
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func New() *Exporter {
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return &Exporter{}
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}
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type Exporter struct {
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mu sync.Mutex
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metrics []telemetry.MetricData
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}
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func (e *Exporter) StartSpan(ctx context.Context, span *telemetry.Span) {}
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func (e *Exporter) FinishSpan(ctx context.Context, span *telemetry.Span) {}
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func (e *Exporter) Log(ctx context.Context, event telemetry.Event) {}
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func (e *Exporter) Metric(ctx context.Context, data telemetry.MetricData) {
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e.mu.Lock()
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defer e.mu.Unlock()
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name := data.Handle()
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// We keep the metrics in name sorted order so the page is stable and easy
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// to read. We do this with an insertion sort rather than sorting the list
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// each time
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index := sort.Search(len(e.metrics), func(i int) bool {
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return e.metrics[i].Handle() >= name
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})
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if index >= len(e.metrics) || e.metrics[index].Handle() != name {
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// we have a new metric, so we need to make a space for it
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old := e.metrics
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e.metrics = make([]telemetry.MetricData, len(old)+1)
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copy(e.metrics, old[:index])
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copy(e.metrics[index+1:], old[index:])
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}
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e.metrics[index] = data
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}
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func (e *Exporter) header(w http.ResponseWriter, name, description string, isGauge, isHistogram bool) {
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kind := "counter"
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if isGauge {
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kind = "gauge"
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}
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if isHistogram {
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kind = "histogram"
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}
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fmt.Fprintf(w, "# HELP %s %s\n", name, description)
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fmt.Fprintf(w, "# TYPE %s %s\n", name, kind)
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}
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func (e *Exporter) row(w http.ResponseWriter, name string, group telemetry.TagList, extra string, value interface{}) {
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fmt.Fprint(w, name)
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buf := &bytes.Buffer{}
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fmt.Fprint(buf, group)
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if extra != "" {
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if buf.Len() > 0 {
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fmt.Fprint(buf, ",")
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}
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fmt.Fprint(buf, extra)
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}
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if buf.Len() > 0 {
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fmt.Fprint(w, "{")
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buf.WriteTo(w)
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fmt.Fprint(w, "}")
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}
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fmt.Fprintf(w, " %v\n", value)
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}
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func (e *Exporter) Serve(w http.ResponseWriter, r *http.Request) {
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e.mu.Lock()
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defer e.mu.Unlock()
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for _, data := range e.metrics {
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switch data := data.(type) {
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case *metric.Int64Data:
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e.header(w, data.Info.Name, data.Info.Description, data.IsGauge, false)
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for i, group := range data.Groups() {
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e.row(w, data.Info.Name, group, "", data.Rows[i])
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}
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case *metric.Float64Data:
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e.header(w, data.Info.Name, data.Info.Description, data.IsGauge, false)
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for i, group := range data.Groups() {
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e.row(w, data.Info.Name, group, "", data.Rows[i])
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}
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case *metric.HistogramInt64Data:
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e.header(w, data.Info.Name, data.Info.Description, false, true)
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for i, group := range data.Groups() {
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row := data.Rows[i]
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for j, b := range data.Info.Buckets {
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e.row(w, data.Info.Name+"_bucket", group, fmt.Sprintf(`le="%v"`, b), row.Values[j])
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}
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e.row(w, data.Info.Name+"_bucket", group, `le="+Inf"`, row.Count)
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e.row(w, data.Info.Name+"_count", group, "", row.Count)
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e.row(w, data.Info.Name+"_sum", group, "", row.Sum)
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}
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case *metric.HistogramFloat64Data:
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e.header(w, data.Info.Name, data.Info.Description, false, true)
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for i, group := range data.Groups() {
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row := data.Rows[i]
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for j, b := range data.Info.Buckets {
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e.row(w, data.Info.Name+"_bucket", group, fmt.Sprintf(`le="%v"`, b), row.Values[j])
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}
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e.row(w, data.Info.Name+"_bucket", group, `le="+Inf"`, row.Count)
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e.row(w, data.Info.Name+"_count", group, "", row.Count)
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e.row(w, data.Info.Name+"_sum", group, "", row.Sum)
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}
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}
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}
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}
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