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go-ethereum-modded-tocallarg/metrics/syslog.go
Martin HS 9045b79bc2
metrics, cmd/geth: change init-process of metrics (#30814)
This PR modifies how the metrics library handles `Enabled`: previously,
the package `init` decided whether to serve real metrics or just
dummy-types.

This has several drawbacks: 
- During pkg init, we need to determine whether metrics are enabled or
not. So we first hacked in a check if certain geth-specific
commandline-flags were enabled. Then we added a similar check for
geth-env-vars. Then we almost added a very elaborate check for
toml-config-file, plus toml parsing.

- Using "real" types and dummy types interchangeably means that
everything is hidden behind interfaces. This has a performance penalty,
and also it just adds a lot of code.

This PR removes the interface stuff, uses concrete types, and allows for
the setting of Enabled to happen later. It is still assumed that
`metrics.Enable()` is invoked early on.

The somewhat 'heavy' operations, such as ticking meters and exp-decay,
now checks the enable-flag to prevent resource leak.

The change may be large, but it's mostly pretty trivial, and from the
last time I gutted the metrics, I ensured that we have fairly good test
coverage.

---------

Co-authored-by: Felix Lange <fjl@twurst.com>
2024-12-10 13:27:29 +01:00

83 lines
2.1 KiB
Go

//go:build !windows
// +build !windows
package metrics
import (
"fmt"
"log/syslog"
"time"
)
// Output each metric in the given registry to syslog periodically using
// the given syslogger.
func Syslog(r Registry, d time.Duration, w *syslog.Writer) {
for range time.Tick(d) {
r.Each(func(name string, i interface{}) {
switch metric := i.(type) {
case *Counter:
w.Info(fmt.Sprintf("counter %s: count: %d", name, metric.Snapshot().Count()))
case *CounterFloat64:
w.Info(fmt.Sprintf("counter %s: count: %f", name, metric.Snapshot().Count()))
case *Gauge:
w.Info(fmt.Sprintf("gauge %s: value: %d", name, metric.Snapshot().Value()))
case *GaugeFloat64:
w.Info(fmt.Sprintf("gauge %s: value: %f", name, metric.Snapshot().Value()))
case *GaugeInfo:
w.Info(fmt.Sprintf("gauge %s: value: %s", name, metric.Snapshot().Value()))
case *Healthcheck:
metric.Check()
w.Info(fmt.Sprintf("healthcheck %s: error: %v", name, metric.Error()))
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
w.Info(fmt.Sprintf(
"histogram %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f",
name,
h.Count(),
h.Min(),
h.Max(),
h.Mean(),
h.StdDev(),
ps[0],
ps[1],
ps[2],
ps[3],
ps[4],
))
case *Meter:
m := metric.Snapshot()
w.Info(fmt.Sprintf(
"meter %s: count: %d 1-min: %.2f 5-min: %.2f 15-min: %.2f mean: %.2f",
name,
m.Count(),
m.Rate1(),
m.Rate5(),
m.Rate15(),
m.RateMean(),
))
case *Timer:
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
w.Info(fmt.Sprintf(
"timer %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f 1-min: %.2f 5-min: %.2f 15-min: %.2f mean-rate: %.2f",
name,
t.Count(),
t.Min(),
t.Max(),
t.Mean(),
t.StdDev(),
ps[0],
ps[1],
ps[2],
ps[3],
ps[4],
t.Rate1(),
t.Rate5(),
t.Rate15(),
t.RateMean(),
))
}
})
}
}