metrics/prometheus: expose metrics in prometheus format too (#17077)
* metrics/prometheus: added prometheus http server and metrics collector * metrics/prometheus: minor cleanups * metrics/prometheus: named keys instead name in tag * metrics/prometheus: minor typo cleanups, sorted report
This commit is contained in:
committed by
Péter Szilágyi
parent
74acde4b08
commit
31bc2a2434
115
metrics/prometheus/collector.go
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115
metrics/prometheus/collector.go
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// Copyright 2019 The go-ethereum Authors
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// This file is part of the go-ethereum library.
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//
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// The go-ethereum library is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Lesser General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// The go-ethereum library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
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package prometheus
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import (
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"bytes"
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"fmt"
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"strconv"
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"strings"
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"github.com/ethereum/go-ethereum/metrics"
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)
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var (
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typeGaugeTpl = "# TYPE %s gauge\n"
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typeCounterTpl = "# TYPE %s counter\n"
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typeSummaryTpl = "# TYPE %s summary\n"
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keyValueTpl = "%s %v\n\n"
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keyQuantileTagValueTpl = "%s {quantile=\"%s\"} %v\n\n"
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)
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// collector is a collection of byte buffers that aggregate Prometheus reports
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// for different metric types.
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type collector struct {
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buff *bytes.Buffer
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}
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// newCollector createa a new Prometheus metric aggregator.
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func newCollector() *collector {
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return &collector{
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buff: &bytes.Buffer{},
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}
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}
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func (c *collector) addCounter(name string, m metrics.Counter) {
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c.writeGaugeCounter(name, m.Count())
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}
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func (c *collector) addGauge(name string, m metrics.Gauge) {
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c.writeGaugeCounter(name, m.Value())
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}
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func (c *collector) addGaugeFloat64(name string, m metrics.GaugeFloat64) {
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c.writeGaugeCounter(name, m.Value())
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}
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func (c *collector) addHistogram(name string, m metrics.Histogram) {
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pv := []float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999}
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ps := m.Percentiles(pv)
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c.writeSummaryCounter(name, m.Count())
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for i := range pv {
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c.writeSummaryPercentile(name, strconv.FormatFloat(pv[i], 'f', -1, 64), ps[i])
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}
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}
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func (c *collector) addMeter(name string, m metrics.Meter) {
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c.writeGaugeCounter(name, m.Count())
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}
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func (c *collector) addTimer(name string, m metrics.Timer) {
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pv := []float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999}
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ps := m.Percentiles(pv)
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c.writeSummaryCounter(name, m.Count())
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for i := range pv {
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c.writeSummaryPercentile(name, strconv.FormatFloat(pv[i], 'f', -1, 64), ps[i])
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}
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}
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func (c *collector) addResettingTimer(name string, m metrics.ResettingTimer) {
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if len(m.Values()) <= 0 {
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return
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}
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ps := m.Percentiles([]float64{50, 95, 99})
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val := m.Values()
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c.writeSummaryCounter(name, len(val))
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c.writeSummaryPercentile(name, "0.50", ps[0])
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c.writeSummaryPercentile(name, "0.95", ps[1])
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c.writeSummaryPercentile(name, "0.99", ps[2])
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}
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func (c *collector) writeGaugeCounter(name string, value interface{}) {
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name = mutateKey(name)
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c.buff.WriteString(fmt.Sprintf(typeGaugeTpl, name))
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c.buff.WriteString(fmt.Sprintf(keyValueTpl, name, value))
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}
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func (c *collector) writeSummaryCounter(name string, value interface{}) {
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name = mutateKey(name + "_count")
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c.buff.WriteString(fmt.Sprintf(typeCounterTpl, name))
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c.buff.WriteString(fmt.Sprintf(keyValueTpl, name, value))
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}
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func (c *collector) writeSummaryPercentile(name, p string, value interface{}) {
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name = mutateKey(name)
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c.buff.WriteString(fmt.Sprintf(typeSummaryTpl, name))
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c.buff.WriteString(fmt.Sprintf(keyQuantileTagValueTpl, name, p, value))
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}
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func mutateKey(key string) string {
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return strings.Replace(key, "/", "_", -1)
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}
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