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metrics.go
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// Go port of Coda Hale's Metrics library
//
// <https://github.com/rcrowley/go-metrics>
//
// Coda Hale's original work: <https://github.com/codahale/metrics>
package metrics
import (
"fmt"
"os"
"runtime/metrics"
"runtime/pprof"
"strings"
"time"
"github.com/ethereum/go-ethereum/common"
"github.com/BurntSushi/toml"
)
// Enabled is checked by the constructor functions for all of the
// standard metrics. If it is true, the metric returned is a stub.
//
// This global kill-switch helps quantify the observer effect and makes
// for less cluttered pprof profiles.
var Enabled = false
// 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.
var enablerFlags = []string{"metrics"}
// expensiveEnablerFlags is the CLI flag names to use to enable metrics collections.
var expensiveEnablerFlags = []string{"metrics.expensive"}
// configFlag is the CLI flag name to use to start node by providing a toml based config
var configFlag = "config"
// 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() {
var configFile string
for i := 0; i < len(os.Args); i++ {
arg := os.Args[i]
flag := strings.TrimLeft(arg, "-")
// check for existence of `config` flag
if flag == configFlag && i < len(os.Args)-1 {
configFile = strings.TrimLeft(os.Args[i+1], "-") // find the value of flag
} else if len(flag) > 6 && flag[:6] == configFlag {
// Checks for `=` separated flag (e.g. config=path)
configFile = strings.TrimLeft(flag[6:], "=")
}
for _, enabler := range enablerFlags {
if !Enabled && flag == enabler {
Enabled = true
}
}
for _, enabler := range expensiveEnablerFlags {
if !EnabledExpensive && flag == enabler {
EnabledExpensive = true
}
}
}
// Update the global metrics value, if they're provided in the config file
updateMetricsFromConfig(configFile)
}
func updateMetricsFromConfig(path string) {
// Don't act upon any errors here. They're already taken into
// consideration when the toml config file will be parsed in the cli.
canonicalPath, err := common.VerifyPath(path)
if err != nil {
fmt.Println("path not verified: " + err.Error())
return
}
data, err := os.ReadFile(canonicalPath)
tomlData := string(data)
if err != nil {
return
}
// Create a minimal config to decode
type TelemetryConfig struct {
Enabled bool `hcl:"metrics,optional" toml:"metrics,optional"`
Expensive bool `hcl:"expensive,optional" toml:"expensive,optional"`
}
type CliConfig struct {
Telemetry *TelemetryConfig `hcl:"telemetry,block" toml:"telemetry,block"`
}
conf := &CliConfig{}
_, err = toml.Decode(tomlData, &conf)
if err != nil || conf == nil || conf.Telemetry == nil {
return
}
// We have the values now, update them
Enabled = conf.Telemetry.Enabled
EnabledExpensive = conf.Telemetry.Expensive
}
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.
func CollectProcessMetrics(refresh time.Duration) {
// Short circuit if the metrics system is disabled
if !Enabled {
return
}
// Create the various data collectors
var (
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)
// 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)
cpuSysLoadTotal = GetOrRegisterCounterFloat64("system/cpu/sysload/total", DefaultRegistry)
cpuSysWaitTotal = GetOrRegisterCounterFloat64("system/cpu/syswait/total", DefaultRegistry)
cpuProcLoadTotal = GetOrRegisterCounterFloat64("system/cpu/procload/total", 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)
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)
diskWriteBytesCounter = GetOrRegisterCounter("system/disk/writebytes", DefaultRegistry)
)
var lastCollectTime time.Time
// Iterate loading the different stats and updating the meters.
now, prev := 0, 1
for ; ; now, prev = prev, now {
// Gather CPU times.
ReadCPUStats(&cpustats[now])
collectTime := time.Now()
secondsSinceLastCollect := collectTime.Sub(lastCollectTime).Seconds()
lastCollectTime = collectTime
if secondsSinceLastCollect > 0 {
sysLoad := cpustats[now].GlobalTime - cpustats[prev].GlobalTime
sysWait := cpustats[now].GlobalWait - cpustats[prev].GlobalWait
procLoad := cpustats[now].LocalTime - cpustats[prev].LocalTime
// Convert to integer percentage.
cpuSysLoad.Update(int64(sysLoad / secondsSinceLastCollect * 100))
cpuSysWait.Update(int64(sysWait / secondsSinceLastCollect * 100))
cpuProcLoad.Update(int64(procLoad / secondsSinceLastCollect * 100))
// increment counters (ms)
cpuSysLoadTotal.Inc(sysLoad)
cpuSysWaitTotal.Inc(sysWait)
cpuProcLoadTotal.Inc(procLoad)
}
// Threads
cpuThreads.Update(int64(threadCreateProfile.Count()))
// 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)
}
time.Sleep(refresh)
}
}