143 lines
4 KiB
Go
143 lines
4 KiB
Go
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//go:generate ../../../tools/readme_config_includer/generator
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package internal
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import (
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_ "embed"
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"fmt"
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"runtime"
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"runtime/metrics"
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"strings"
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"github.com/influxdata/telegraf"
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inter "github.com/influxdata/telegraf/internal"
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"github.com/influxdata/telegraf/plugins/inputs"
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"github.com/influxdata/telegraf/selfstat"
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)
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//go:embed sample.conf
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var sampleConfig string
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type Internal struct {
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CollectMemstats bool `toml:"collect_memstats"`
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CollectGostats bool `toml:"collect_gostats"`
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}
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func (*Internal) SampleConfig() string {
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return sampleConfig
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}
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func (s *Internal) Gather(acc telegraf.Accumulator) error {
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for _, m := range selfstat.Metrics() {
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if m.Name() == "internal_agent" {
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m.AddTag("go_version", strings.TrimPrefix(runtime.Version(), "go"))
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}
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m.AddTag("version", inter.Version)
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acc.AddFields(m.Name(), m.Fields(), m.Tags(), m.Time())
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}
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if s.CollectMemstats {
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collectMemStat(acc)
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}
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if s.CollectGostats {
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collectGoStat(acc)
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}
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return nil
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}
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func collectMemStat(acc telegraf.Accumulator) {
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m := &runtime.MemStats{}
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runtime.ReadMemStats(m)
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fields := map[string]any{
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"alloc_bytes": m.Alloc, // bytes allocated and not yet freed
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"total_alloc_bytes": m.TotalAlloc, // bytes allocated (even if freed)
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"sys_bytes": m.Sys, // bytes obtained from system (sum of XxxSys below)
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"pointer_lookups": m.Lookups, // number of pointer lookups
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"mallocs": m.Mallocs, // number of mallocs
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"frees": m.Frees, // number of frees
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// Main allocation heap statistics.
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"heap_alloc_bytes": m.HeapAlloc, // bytes allocated and not yet freed (same as Alloc above)
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"heap_sys_bytes": m.HeapSys, // bytes obtained from system
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"heap_idle_bytes": m.HeapIdle, // bytes in idle spans
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"heap_in_use_bytes": m.HeapInuse, // bytes in non-idle span
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"heap_released_bytes": m.HeapReleased, // bytes released to the OS
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"heap_objects": m.HeapObjects, // total number of allocated objects
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"num_gc": m.NumGC,
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}
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acc.AddFields("internal_memstats", fields, make(map[string]string))
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}
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func collectGoStat(acc telegraf.Accumulator) {
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descs := metrics.All()
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samples := make([]metrics.Sample, len(descs))
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for i := range samples {
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samples[i].Name = descs[i].Name
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}
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metrics.Read(samples)
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fields := make(map[string]any, len(samples))
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for _, sample := range samples {
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name := sanitizeName(sample.Name)
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switch sample.Value.Kind() {
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case metrics.KindUint64:
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fields[name] = sample.Value.Uint64()
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case metrics.KindFloat64:
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fields[name] = sample.Value.Float64()
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case metrics.KindFloat64Histogram:
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// The histogram may be quite large, so let's just pull out
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// a crude estimate for the median for the sake of this example.
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fields[name] = medianBucket(sample.Value.Float64Histogram())
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default:
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// This may happen as new metrics get added.
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//
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// The safest thing to do here is to simply log it somewhere
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// as something to look into, but ignore it for now.
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// In the worst case, you might temporarily miss out on a new metric.
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fmt.Printf("%s: unexpected metric Kind: %v\n", name, sample.Value.Kind())
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}
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}
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tags := map[string]string{
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"go_version": strings.TrimPrefix(runtime.Version(), "go"),
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}
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acc.AddFields("internal_gostats", fields, tags)
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}
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// Converts /cpu/classes/gc/mark/assist:cpu-seconds to cpu_classes_gc_mark_assist_cpu_seconds
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func sanitizeName(name string) string {
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name = strings.TrimPrefix(name, "/")
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name = strings.ReplaceAll(name, "/", "_")
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name = strings.ReplaceAll(name, ":", "_")
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name = strings.ReplaceAll(name, "-", "_")
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return name
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}
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func medianBucket(h *metrics.Float64Histogram) float64 {
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total := uint64(0)
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for _, count := range h.Counts {
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total += count
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}
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thresh := total / 2
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total = 0
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for i, count := range h.Counts {
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total += count
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if total >= thresh {
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return h.Buckets[i]
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}
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}
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// default value in case something above did not work
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return 0.0
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}
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func init() {
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inputs.Add("internal", func() telegraf.Input {
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return &Internal{
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CollectMemstats: true,
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}
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})
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}
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