2018-02-23 12:56:08 +03:00
|
|
|
// Go port of Coda Hale's Metrics library
|
2015-07-07 03:54:22 +03:00
|
|
|
//
|
2018-02-23 12:56:08 +03:00
|
|
|
// <https://github.com/rcrowley/go-metrics>
|
2015-07-07 03:54:22 +03:00
|
|
|
//
|
2018-02-23 12:56:08 +03:00
|
|
|
// Coda Hale's original work: <https://github.com/codahale/metrics>
|
2015-06-27 18:12:58 +03:00
|
|
|
package metrics
|
|
|
|
|
|
|
|
import (
|
2015-06-29 16:11:01 +03:00
|
|
|
"os"
|
2022-11-11 15:16:13 +03:00
|
|
|
"runtime/metrics"
|
|
|
|
"runtime/pprof"
|
2015-06-29 16:11:01 +03:00
|
|
|
"strings"
|
2015-06-27 18:12:58 +03:00
|
|
|
"time"
|
|
|
|
|
2017-02-22 15:10:07 +03:00
|
|
|
"github.com/ethereum/go-ethereum/log"
|
2015-06-27 18:12:58 +03:00
|
|
|
)
|
|
|
|
|
2018-02-23 12:56:08 +03:00
|
|
|
// Enabled is checked by the constructor functions for all of the
|
2019-03-25 11:01:18 +03:00
|
|
|
// standard metrics. If it is true, the metric returned is a stub.
|
2018-02-23 12:56:08 +03:00
|
|
|
//
|
|
|
|
// This global kill-switch helps quantify the observer effect and makes
|
|
|
|
// for less cluttered pprof profiles.
|
2019-02-18 14:37:31 +03:00
|
|
|
var Enabled = false
|
2018-02-23 12:56:08 +03:00
|
|
|
|
2019-03-25 11:01:18 +03:00
|
|
|
// EnabledExpensive is a soft-flag meant for external packages to check if costly
|
|
|
|
// metrics gathering is allowed or not. The goal is to separate standard metrics
|
|
|
|
// for health monitoring and debug metrics that might impact runtime performance.
|
|
|
|
var EnabledExpensive = false
|
|
|
|
|
|
|
|
// enablerFlags is the CLI flag names to use to enable metrics collections.
|
2019-11-14 12:04:16 +03:00
|
|
|
var enablerFlags = []string{"metrics"}
|
2019-03-25 11:01:18 +03:00
|
|
|
|
|
|
|
// expensiveEnablerFlags is the CLI flag names to use to enable metrics collections.
|
|
|
|
var expensiveEnablerFlags = []string{"metrics.expensive"}
|
2015-06-29 16:11:01 +03:00
|
|
|
|
|
|
|
// Init enables or disables the metrics system. Since we need this to run before
|
|
|
|
// any other code gets to create meters and timers, we'll actually do an ugly hack
|
|
|
|
// and peek into the command line args for the metrics flag.
|
|
|
|
func init() {
|
|
|
|
for _, arg := range os.Args {
|
2019-03-25 11:01:18 +03:00
|
|
|
flag := strings.TrimLeft(arg, "-")
|
|
|
|
|
|
|
|
for _, enabler := range enablerFlags {
|
|
|
|
if !Enabled && flag == enabler {
|
|
|
|
log.Info("Enabling metrics collection")
|
|
|
|
Enabled = true
|
|
|
|
}
|
|
|
|
}
|
|
|
|
for _, enabler := range expensiveEnablerFlags {
|
2019-03-25 11:40:46 +03:00
|
|
|
if !EnabledExpensive && flag == enabler {
|
2019-03-25 11:01:18 +03:00
|
|
|
log.Info("Enabling expensive metrics collection")
|
|
|
|
EnabledExpensive = true
|
|
|
|
}
|
2015-06-29 16:11:01 +03:00
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2022-11-11 15:16:13 +03:00
|
|
|
var threadCreateProfile = pprof.Lookup("threadcreate")
|
|
|
|
|
|
|
|
type runtimeStats struct {
|
|
|
|
GCPauses *metrics.Float64Histogram
|
|
|
|
GCAllocBytes uint64
|
|
|
|
GCFreedBytes uint64
|
|
|
|
|
|
|
|
MemTotal uint64
|
|
|
|
HeapObjects uint64
|
|
|
|
HeapFree uint64
|
|
|
|
HeapReleased uint64
|
|
|
|
HeapUnused uint64
|
|
|
|
|
|
|
|
Goroutines uint64
|
|
|
|
SchedLatency *metrics.Float64Histogram
|
|
|
|
}
|
|
|
|
|
|
|
|
var runtimeSamples = []metrics.Sample{
|
|
|
|
{Name: "/gc/pauses:seconds"}, // histogram
|
|
|
|
{Name: "/gc/heap/allocs:bytes"},
|
|
|
|
{Name: "/gc/heap/frees:bytes"},
|
|
|
|
{Name: "/memory/classes/total:bytes"},
|
|
|
|
{Name: "/memory/classes/heap/objects:bytes"},
|
|
|
|
{Name: "/memory/classes/heap/free:bytes"},
|
|
|
|
{Name: "/memory/classes/heap/released:bytes"},
|
|
|
|
{Name: "/memory/classes/heap/unused:bytes"},
|
|
|
|
{Name: "/sched/goroutines:goroutines"},
|
|
|
|
{Name: "/sched/latencies:seconds"}, // histogram
|
|
|
|
}
|
|
|
|
|
|
|
|
func readRuntimeStats(v *runtimeStats) {
|
|
|
|
metrics.Read(runtimeSamples)
|
|
|
|
for _, s := range runtimeSamples {
|
|
|
|
// Skip invalid/unknown metrics. This is needed because some metrics
|
|
|
|
// are unavailable in older Go versions, and attempting to read a 'bad'
|
|
|
|
// metric panics.
|
|
|
|
if s.Value.Kind() == metrics.KindBad {
|
|
|
|
continue
|
|
|
|
}
|
|
|
|
|
|
|
|
switch s.Name {
|
|
|
|
case "/gc/pauses:seconds":
|
|
|
|
v.GCPauses = s.Value.Float64Histogram()
|
|
|
|
case "/gc/heap/allocs:bytes":
|
|
|
|
v.GCAllocBytes = s.Value.Uint64()
|
|
|
|
case "/gc/heap/frees:bytes":
|
|
|
|
v.GCFreedBytes = s.Value.Uint64()
|
|
|
|
case "/memory/classes/total:bytes":
|
|
|
|
v.MemTotal = s.Value.Uint64()
|
|
|
|
case "/memory/classes/heap/objects:bytes":
|
|
|
|
v.HeapObjects = s.Value.Uint64()
|
|
|
|
case "/memory/classes/heap/free:bytes":
|
|
|
|
v.HeapFree = s.Value.Uint64()
|
|
|
|
case "/memory/classes/heap/released:bytes":
|
|
|
|
v.HeapReleased = s.Value.Uint64()
|
|
|
|
case "/memory/classes/heap/unused:bytes":
|
|
|
|
v.HeapUnused = s.Value.Uint64()
|
|
|
|
case "/sched/goroutines:goroutines":
|
|
|
|
v.Goroutines = s.Value.Uint64()
|
|
|
|
case "/sched/latencies:seconds":
|
|
|
|
v.SchedLatency = s.Value.Float64Histogram()
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// CollectProcessMetrics periodically collects various metrics about the running process.
|
2015-06-27 18:12:58 +03:00
|
|
|
func CollectProcessMetrics(refresh time.Duration) {
|
2015-06-29 16:11:01 +03:00
|
|
|
// Short circuit if the metrics system is disabled
|
2015-07-02 14:13:46 +03:00
|
|
|
if !Enabled {
|
2015-06-29 16:11:01 +03:00
|
|
|
return
|
|
|
|
}
|
2022-11-11 15:16:13 +03:00
|
|
|
|
2019-06-10 14:21:02 +03:00
|
|
|
refreshFreq := int64(refresh / time.Second)
|
|
|
|
|
2015-06-27 18:12:58 +03:00
|
|
|
// Create the various data collectors
|
2019-06-17 10:53:17 +03:00
|
|
|
var (
|
2022-11-11 15:16:13 +03:00
|
|
|
cpustats = make([]CPUStats, 2)
|
|
|
|
diskstats = make([]DiskStats, 2)
|
|
|
|
rstats = make([]runtimeStats, 2)
|
|
|
|
)
|
|
|
|
|
|
|
|
// This scale factor is used for the runtime's time metrics. It's useful to convert to
|
|
|
|
// ns here because the runtime gives times in float seconds, but runtimeHistogram can
|
|
|
|
// only provide integers for the minimum and maximum values.
|
|
|
|
const secondsToNs = float64(time.Second)
|
2015-06-27 18:12:58 +03:00
|
|
|
|
2022-11-11 15:16:13 +03:00
|
|
|
// Define the various metrics to collect
|
|
|
|
var (
|
|
|
|
cpuSysLoad = GetOrRegisterGauge("system/cpu/sysload", DefaultRegistry)
|
|
|
|
cpuSysWait = GetOrRegisterGauge("system/cpu/syswait", DefaultRegistry)
|
|
|
|
cpuProcLoad = GetOrRegisterGauge("system/cpu/procload", DefaultRegistry)
|
|
|
|
cpuThreads = GetOrRegisterGauge("system/cpu/threads", DefaultRegistry)
|
|
|
|
cpuGoroutines = GetOrRegisterGauge("system/cpu/goroutines", DefaultRegistry)
|
|
|
|
cpuSchedLatency = getOrRegisterRuntimeHistogram("system/cpu/schedlatency", secondsToNs, nil)
|
|
|
|
memPauses = getOrRegisterRuntimeHistogram("system/memory/pauses", secondsToNs, nil)
|
|
|
|
memAllocs = GetOrRegisterMeter("system/memory/allocs", DefaultRegistry)
|
|
|
|
memFrees = GetOrRegisterMeter("system/memory/frees", DefaultRegistry)
|
|
|
|
memTotal = GetOrRegisterGauge("system/memory/held", DefaultRegistry)
|
|
|
|
heapUsed = GetOrRegisterGauge("system/memory/used", DefaultRegistry)
|
|
|
|
heapObjects = GetOrRegisterGauge("system/memory/objects", DefaultRegistry)
|
2019-06-17 10:53:17 +03:00
|
|
|
diskReads = GetOrRegisterMeter("system/disk/readcount", DefaultRegistry)
|
|
|
|
diskReadBytes = GetOrRegisterMeter("system/disk/readdata", DefaultRegistry)
|
|
|
|
diskReadBytesCounter = GetOrRegisterCounter("system/disk/readbytes", DefaultRegistry)
|
|
|
|
diskWrites = GetOrRegisterMeter("system/disk/writecount", DefaultRegistry)
|
|
|
|
diskWriteBytes = GetOrRegisterMeter("system/disk/writedata", DefaultRegistry)
|
2018-07-09 15:11:49 +03:00
|
|
|
diskWriteBytesCounter = GetOrRegisterCounter("system/disk/writebytes", DefaultRegistry)
|
2019-06-17 10:53:17 +03:00
|
|
|
)
|
2022-11-11 15:16:13 +03:00
|
|
|
|
|
|
|
// Iterate loading the different stats and updating the meters.
|
|
|
|
now, prev := 0, 1
|
|
|
|
for ; ; now, prev = prev, now {
|
|
|
|
// CPU
|
|
|
|
ReadCPUStats(&cpustats[now])
|
|
|
|
cpuSysLoad.Update((cpustats[now].GlobalTime - cpustats[prev].GlobalTime) / refreshFreq)
|
|
|
|
cpuSysWait.Update((cpustats[now].GlobalWait - cpustats[prev].GlobalWait) / refreshFreq)
|
|
|
|
cpuProcLoad.Update((cpustats[now].LocalTime - cpustats[prev].LocalTime) / refreshFreq)
|
|
|
|
|
|
|
|
// Threads
|
2019-06-17 10:53:17 +03:00
|
|
|
cpuThreads.Update(int64(threadCreateProfile.Count()))
|
2022-11-11 15:16:13 +03:00
|
|
|
|
|
|
|
// Go runtime metrics
|
|
|
|
readRuntimeStats(&rstats[now])
|
|
|
|
|
|
|
|
cpuGoroutines.Update(int64(rstats[now].Goroutines))
|
|
|
|
cpuSchedLatency.update(rstats[now].SchedLatency)
|
|
|
|
memPauses.update(rstats[now].GCPauses)
|
|
|
|
|
|
|
|
memAllocs.Mark(int64(rstats[now].GCAllocBytes - rstats[prev].GCAllocBytes))
|
|
|
|
memFrees.Mark(int64(rstats[now].GCFreedBytes - rstats[prev].GCFreedBytes))
|
|
|
|
|
|
|
|
memTotal.Update(int64(rstats[now].MemTotal))
|
|
|
|
heapUsed.Update(int64(rstats[now].MemTotal - rstats[now].HeapUnused - rstats[now].HeapFree - rstats[now].HeapReleased))
|
|
|
|
heapObjects.Update(int64(rstats[now].HeapObjects))
|
|
|
|
|
|
|
|
// Disk
|
|
|
|
if ReadDiskStats(&diskstats[now]) == nil {
|
|
|
|
diskReads.Mark(diskstats[now].ReadCount - diskstats[prev].ReadCount)
|
|
|
|
diskReadBytes.Mark(diskstats[now].ReadBytes - diskstats[prev].ReadBytes)
|
|
|
|
diskWrites.Mark(diskstats[now].WriteCount - diskstats[prev].WriteCount)
|
|
|
|
diskWriteBytes.Mark(diskstats[now].WriteBytes - diskstats[prev].WriteBytes)
|
|
|
|
diskReadBytesCounter.Inc(diskstats[now].ReadBytes - diskstats[prev].ReadBytes)
|
|
|
|
diskWriteBytesCounter.Inc(diskstats[now].WriteBytes - diskstats[prev].WriteBytes)
|
2015-06-27 18:12:58 +03:00
|
|
|
}
|
2022-11-11 15:16:13 +03:00
|
|
|
|
2015-06-27 18:12:58 +03:00
|
|
|
time.Sleep(refresh)
|
|
|
|
}
|
|
|
|
}
|