Adding upstream version 1.34.4.
Signed-off-by: Daniel Baumann <daniel@debian.org>
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197
selfstat/selfstat.go
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197
selfstat/selfstat.go
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// Package selfstat is a package for tracking and collecting internal statistics
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// about telegraf. Metrics can be registered using this package, and then
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// incremented or set within your code. If the inputs.internal plugin is enabled,
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// then all registered stats will be collected as they would by any other input
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// plugin.
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package selfstat
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import (
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"hash/fnv"
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"sort"
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"sync"
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"time"
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf/metric"
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)
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var (
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registry *Registry
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)
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// Stat is an interface for dealing with telegraf statistics collected
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// on itself.
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type Stat interface {
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// Name is the name of the measurement
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Name() string
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// FieldName is the name of the measurement field
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FieldName() string
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// Tags is a tag map. Each time this is called a new map is allocated.
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Tags() map[string]string
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// Incr increments a regular stat by 'v'.
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// in the case of a timing stat, increment adds the timing to the cache.
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Incr(v int64)
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// Set sets a regular stat to 'v'.
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// in the case of a timing stat, set adds the timing to the cache.
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Set(v int64)
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// Get gets the value of the stat. In the case of timings, this returns
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// an average value of all timings received since the last call to Get().
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// If no timings were received, it returns the previous value.
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Get() int64
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}
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// Register registers the given measurement, field, and tags in the selfstat
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// registry. If given an identical measurement, it will return the stat that's
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// already been registered.
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//
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// The returned Stat can be incremented by the consumer of Register(), and it's
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// value will be returned as a telegraf metric when Metrics() is called.
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func Register(measurement, field string, tags map[string]string) Stat {
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return registry.register("internal_"+measurement, field, tags)
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}
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// RegisterTiming registers the given measurement, field, and tags in the selfstat
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// registry. If given an identical measurement, it will return the stat that's
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// already been registered.
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//
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// Timing stats differ from regular stats in that they accumulate multiple
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// "timings" added to them, and will return the average when Get() is called.
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// After Get() is called, the average is cleared and the next timing returned
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// from Get() will only reflect timings added since the previous call to Get().
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// If Get() is called without receiving any new timings, then the previous value
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// is used.
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//
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// In other words, timings are an averaged metric that get cleared on each call
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// to Get().
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//
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// The returned Stat can be incremented by the consumer of Register(), and it's
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// value will be returned as a telegraf metric when Metrics() is called.
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func RegisterTiming(measurement, field string, tags map[string]string) Stat {
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return registry.registerTiming("internal_"+measurement, field, tags)
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}
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// Metrics returns all registered stats as telegraf metrics.
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func Metrics() []telegraf.Metric {
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registry.mu.Lock()
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now := time.Now()
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metrics := make([]telegraf.Metric, 0, len(registry.stats))
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for _, stats := range registry.stats {
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if len(stats) > 0 {
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var tags map[string]string
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var name string
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fields := make(map[string]interface{}, len(stats))
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j := 0
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for fieldname, stat := range stats {
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if j == 0 {
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tags = stat.Tags()
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name = stat.Name()
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}
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fields[fieldname] = stat.Get()
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j++
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}
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m := metric.New(name, tags, fields, now)
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metrics = append(metrics, m)
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}
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}
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registry.mu.Unlock()
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return metrics
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}
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type Registry struct {
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stats map[uint64]map[string]Stat
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mu sync.Mutex
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}
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func (r *Registry) register(measurement, field string, tags map[string]string) Stat {
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r.mu.Lock()
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defer r.mu.Unlock()
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key := key(measurement, tags)
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if stat, ok := registry.get(key, field); ok {
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return stat
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}
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t := make(map[string]string, len(tags))
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for k, v := range tags {
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t[k] = v
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}
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s := &stat{
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measurement: measurement,
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field: field,
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tags: t,
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}
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registry.set(key, s)
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return s
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}
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func (r *Registry) registerTiming(measurement, field string, tags map[string]string) Stat {
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r.mu.Lock()
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defer r.mu.Unlock()
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key := key(measurement, tags)
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if stat, ok := registry.get(key, field); ok {
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return stat
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}
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t := make(map[string]string, len(tags))
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for k, v := range tags {
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t[k] = v
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}
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s := &timingStat{
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measurement: measurement,
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field: field,
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tags: t,
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}
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registry.set(key, s)
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return s
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}
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func (r *Registry) get(key uint64, field string) (Stat, bool) {
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if _, ok := r.stats[key]; !ok {
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return nil, false
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}
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if stat, ok := r.stats[key][field]; ok {
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return stat, true
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}
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return nil, false
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}
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func (r *Registry) set(key uint64, s Stat) {
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if _, ok := r.stats[key]; !ok {
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r.stats[key] = make(map[string]Stat)
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}
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r.stats[key][s.FieldName()] = s
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}
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func key(measurement string, tags map[string]string) uint64 {
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h := fnv.New64a()
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h.Write([]byte(measurement))
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tmp := make([]string, 0, len(tags))
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for k, v := range tags {
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tmp = append(tmp, k+v)
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}
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sort.Strings(tmp)
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for _, s := range tmp {
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h.Write([]byte(s))
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}
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return h.Sum64()
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}
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func init() {
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registry = &Registry{
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stats: make(map[uint64]map[string]Stat),
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}
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}
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