metrics/prometheus: named keys instead name in tag

This commit is contained in:
Maxim Krasilnikov 2019-04-05 20:26:29 +03:00 committed by Péter Szilágyi
parent 8e8d55ed8e
commit 55f22329fd
No known key found for this signature in database
GPG key ID: E9AE538CEDF8293D
2 changed files with 47 additions and 129 deletions

View file

@ -19,150 +19,65 @@ package prometheus
import (
"bytes"
"fmt"
"sync"
"strconv"
"strings"
"github.com/ethereum/go-ethereum/metrics"
)
var (
countersKey = []byte("counters")
gaugesKey = []byte("gauges")
metersKey = []byte("meters")
histogramsKey = []byte("histograms")
timersKey = []byte("timers")
resettingTimersKey = []byte("resettingTimers")
countersHeader = []byte("# HELP counters is set of geth counters\n# TYPE counters gauge\n")
gaugesHeader = []byte("# HELP gauges is set of geth gauges\n# TYPE gauges gauge\n")
meterHeader = []byte("# HELP meters is set of geth meters\n# TYPE meters counter\n")
histogramHeader = []byte("# HELP histograms is set of geth histograms\n# TYPE histograms summary\n")
timerHeader = []byte("# HELP timers is set of geth timers\n# TYPE timers summary\n")
resettingTimerHeader = []byte("# HELP resetting_timers is set of geth resetting timers\n# TYPE resetting_timers summary\n")
counterSuffix = []byte("_count")
nameTagTemplate = "{name=\"%s\"} %v\n"
nameQuantileTagTemplate = "{name=\"%s\",quantile=\"%s\"} %v\n"
typeGuageTpl = "# TYPE %s gauge\n"
typeCounterTpl = "# TYPE %s counter\n"
typeSummaryTpl = "# TYPE %s summary\n"
keyValueTpl = "%s %v\n"
keyQuantileTagValueTpl = "%s {quantile=\"%s\"} %v\n"
)
// bufPool is a global pool of byte buffers to avoid constant reallocations.
var bufPool sync.Pool
// getBuf retrieves a new empty (but possibly non-0 capacity) buffer.
func getBuf() *bytes.Buffer {
if item := bufPool.Get(); item != nil {
buf := item.(*bytes.Buffer)
buf.Reset()
return buf
}
return &bytes.Buffer{}
}
// giveBuf returns a used byte buffer to the pool.
func giveBuf(buf *bytes.Buffer) {
bufPool.Put(buf)
}
// collector is a collection of byte buffers that aggregate Prometheus reports
// for different metric types.
type collector struct {
counters *bytes.Buffer
gauges *bytes.Buffer
histograms *bytes.Buffer
meters *bytes.Buffer
timers *bytes.Buffer
resettingTimers *bytes.Buffer
buff *bytes.Buffer
}
// newCollector createa a new Prometheus metric aggregator.
func newCollector() *collector {
return &collector{
counters: getBuf(),
gauges: getBuf(),
histograms: getBuf(),
meters: getBuf(),
timers: getBuf(),
resettingTimers: getBuf(),
buff: &bytes.Buffer{},
}
}
// close releases all internally held byte buffers to be reused by subsequent
// metrics collection runs.
func (c *collector) close() {
giveBuf(c.counters)
giveBuf(c.gauges)
giveBuf(c.histograms)
giveBuf(c.meters)
giveBuf(c.timers)
giveBuf(c.resettingTimers)
}
// aggregate iterates over the different metric types and aggregates them into
// a single byte buffer.
func (c *collector) aggregate() *bytes.Buffer {
buf := getBuf()
if c.counters.Len() > 0 {
buf.Write(countersHeader)
buf.Write(c.counters.Bytes())
}
if c.gauges.Len() > 0 {
buf.Write(gaugesHeader)
buf.Write(c.gauges.Bytes())
}
if c.meters.Len() > 0 {
buf.Write(meterHeader)
buf.Write(c.meters.Bytes())
}
if c.histograms.Len() > 0 {
buf.Write(histogramHeader)
buf.Write(c.histograms.Bytes())
}
if c.timers.Len() > 0 {
buf.Write(timerHeader)
buf.Write(c.timers.Bytes())
}
if c.resettingTimers.Len() > 0 {
buf.Write(resettingTimerHeader)
buf.Write(c.resettingTimers.Bytes())
}
return buf
}
func (c *collector) addCounter(name string, m metrics.Counter) {
writeGuageCounter(c.counters, countersKey, name, m.Count())
c.writeGuageCounter(name, m.Count())
}
func (c *collector) addGuage(name string, m metrics.Gauge) {
writeGuageCounter(c.gauges, gaugesKey, name, m.Value())
c.writeGuageCounter(name, m.Value())
}
func (c *collector) addGuageFloat64(name string, m metrics.GaugeFloat64) {
writeGuageCounter(c.gauges, gaugesKey, name, m.Value())
c.writeGuageCounter(name, m.Value())
}
func (c *collector) addHistogram(name string, m metrics.Histogram) {
ps := m.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999})
writeSummaryCounter(c.histograms, histogramsKey, name, m.Count())
writeSummaryPercentile(c.histograms, histogramsKey, name, "0.5", ps[0])
writeSummaryPercentile(c.histograms, histogramsKey, name, "0.75", ps[1])
writeSummaryPercentile(c.histograms, histogramsKey, name, "0.95", ps[2])
writeSummaryPercentile(c.histograms, histogramsKey, name, "0.99", ps[3])
writeSummaryPercentile(c.histograms, histogramsKey, name, "0.999", ps[4])
writeSummaryPercentile(c.histograms, histogramsKey, name, "0.9999", ps[5])
pv := []float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999}
ps := m.Percentiles(pv)
c.writeSummaryCounter(name, m.Count())
for i := range pv {
c.writeSummaryPercentile(name, strconv.FormatFloat(pv[i], 'f', -1, 64), ps[i])
}
}
func (c *collector) addMeter(name string, m metrics.Meter) {
writeGuageCounter(c.meters, metersKey, name, m.Count())
c.writeGuageCounter(name, m.Count())
}
func (c *collector) addTimer(name string, m metrics.Timer) {
ps := m.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999})
writeSummaryCounter(c.timers, timersKey, name, m.Count())
writeSummaryPercentile(c.timers, timersKey, name, "0.50", ps[0])
writeSummaryPercentile(c.timers, timersKey, name, "0.75", ps[1])
writeSummaryPercentile(c.timers, timersKey, name, "0.95", ps[2])
writeSummaryPercentile(c.timers, timersKey, name, "0.99", ps[3])
writeSummaryPercentile(c.timers, timersKey, name, "0.999", ps[4])
writeSummaryPercentile(c.timers, timersKey, name, "0.9999", ps[5])
pv := []float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999}
ps := m.Percentiles(pv)
c.writeSummaryCounter(name, m.Count())
for i := range pv {
c.writeSummaryPercentile(name, strconv.FormatFloat(pv[i], 'f', -1, 64), ps[i])
}
}
func (c *collector) addResettingTimer(name string, m metrics.ResettingTimer) {
@ -171,23 +86,30 @@ func (c *collector) addResettingTimer(name string, m metrics.ResettingTimer) {
}
ps := m.Percentiles([]float64{50, 95, 99})
val := m.Values()
writeSummaryCounter(c.resettingTimers, resettingTimersKey, name, len(val))
writeSummaryPercentile(c.resettingTimers, resettingTimersKey, name, "0.50", ps[0])
writeSummaryPercentile(c.resettingTimers, resettingTimersKey, name, "0.95", ps[1])
writeSummaryPercentile(c.resettingTimers, resettingTimersKey, name, "0.99", ps[2])
c.writeSummaryCounter(name, len(val))
c.writeSummaryPercentile(name, "0.50", ps[0])
c.writeSummaryPercentile(name, "0.95", ps[1])
c.writeSummaryPercentile(name, "0.99", ps[2])
}
func writeGuageCounter(buf *bytes.Buffer, key []byte, name string, value interface{}) {
buf.Write(key)
buf.WriteString(fmt.Sprintf(nameTagTemplate, name, value))
func (c *collector) writeGuageCounter(name string, value interface{}) {
name = mutateKey(name)
c.buff.WriteString(fmt.Sprintf(typeGuageTpl, name))
c.buff.WriteString(fmt.Sprintf(keyValueTpl, name, value))
}
func writeSummaryCounter(buf *bytes.Buffer, key []byte, name string, value interface{}) {
buf.Write(append(key, counterSuffix...))
buf.WriteString(fmt.Sprintf(nameTagTemplate, name, value))
func (c *collector) writeSummaryCounter(name string, value interface{}) {
name = mutateKey(name + "_count")
c.buff.WriteString(fmt.Sprintf(typeCounterTpl, name))
c.buff.WriteString(fmt.Sprintf(keyValueTpl, name, value))
}
func writeSummaryPercentile(buf *bytes.Buffer, key []byte, name, p string, value interface{}) {
buf.Write(key)
buf.WriteString(fmt.Sprintf(nameQuantileTagTemplate, name, p, value))
func (c *collector) writeSummaryPercentile(name, p string, value interface{}) {
name = mutateKey(name)
c.buff.WriteString(fmt.Sprintf(typeSummaryTpl, name))
c.buff.WriteString(fmt.Sprintf(keyQuantileTagValueTpl, name, p, value))
}
func mutateKey(key string) string {
return strings.Replace(key, "/", "_", -1)
}

View file

@ -30,7 +30,6 @@ func Handler(reg metrics.Registry) http.Handler {
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
// Aggregate all the metris into a Prometheus collector
c := newCollector()
defer c.close()
reg.Each(func(name string, i interface{}) {
switch m := i.(type) {
@ -52,12 +51,9 @@ func Handler(reg metrics.Registry) http.Handler {
log.Warn("Unknown Prometheus metric type", "type", fmt.Sprintf("%T", i))
}
})
// Aggregate the results into a single buffer and send to the user
res := c.aggregate()
defer giveBuf(res)
w.Header().Add("Content-Type", "text/plain")
w.Header().Add("Content-Length", fmt.Sprint(res.Len()))
w.Write(res.Bytes())
w.Header().Add("Content-Length", fmt.Sprint(c.buff.Len()))
w.Write(c.buff.Bytes())
})
}