// metricsMonitor basically guards the metrics datastructures.
// it typically receives metrics on the Metrics channel but also responds to
// external signals and every flushInterval, computes and flushes the data
func (s *StatsDaemon) metricsMonitor() {
period := time.Duration(s.flushInterval) * time.Second
tick := ticker.GetAlignedTicker(period)
var c *counters.Counters
var g *gauges.Gauges
var t *timers.Timers
initializeCounters := func() {
c = counters.New(s.prefix_rates)
g = gauges.New(s.prefix_gauges)
t = timers.New(s.prefix_timers, s.pct)
for _, name := range []string{"timer", "gauge", "counter"} {
c.Add(&common.Metric{
Bucket: fmt.Sprintf("%sdirection_is_in.statsd_type_is_%s.target_type_is_count.unit_is_Metric", s.prefix, name),
Sampling: 1,
})
}
}
initializeCounters()
for {
select {
case sig := <-s.signalchan:
switch sig {
case syscall.SIGTERM, syscall.SIGINT:
fmt.Printf("!! Caught signal %s... shutting down\n", sig)
if err := s.submit(c, g, t, time.Now().Add(period)); err != nil {
log.Printf("ERROR: %s", err)
}
return
default:
fmt.Printf("unknown signal %s, ignoring\n", sig)
}
case <-tick.C:
go func(c *counters.Counters, g *gauges.Gauges, t *timers.Timers) {
if err := s.submit(c, g, t, time.Now().Add(period)); err != nil {
log.Printf("ERROR: %s", err)
}
s.events.Broadcast <- "flush"
}(c, g, t)
initializeCounters()
tick = ticker.GetAlignedTicker(period)
case m := <-s.Metrics:
var name string
if m.Modifier == "ms" {
t.Add(m)
name = "timer"
} else if m.Modifier == "g" {
g.Add(m)
name = "gauge"
} else {
c.Add(m)
name = "counter"
}
c.Add(&common.Metric{
Bucket: fmt.Sprintf("%sdirection_is_in.statsd_type_is_%s.target_type_is_count.unit_is_Metric", s.prefix, name),
Value: 1,
Sampling: 1,
})
}
}
}