func checkRecentToken(client *influx.Client, token, host string, errors chan error) {
for _, qfmt := range influxDbSeriesCheckQueries {
query := fmt.Sprintf(qfmt, token)
results, err := client.Query(query, influx.Second)
if err != nil || len(results) == 0 {
errors <- fmt.Errorf("at=influxdb-health err=%q result_length=%d host=%q query=%q", err, len(results), host, query)
continue
}
t, ok := results[0].Points[0][0].(float64)
if !ok {
errors <- fmt.Errorf("at=influxdb-health err=\"time column was not a number\" host=%q query=%q", host, query)
continue
}
ts := time.Unix(int64(t), int64(0)).UTC()
now := time.Now().UTC()
if now.Sub(ts) > influxDbStaleTimeout {
errors <- fmt.Errorf("at=influxdb-health err=\"stale data\" host=%q ts=%q now=%q query=%q", host, ts, now, query)
}
}
}
func send(r metrics.Registry, client *influxClient.Client) error {
series := []*influxClient.Series{}
r.Each(func(name string, i interface{}) {
now := getCurrentTime()
switch metric := i.(type) {
case metrics.Counter:
series = append(series, &influxClient.Series{
Name: fmt.Sprintf("%s.count", name),
Columns: []string{"time", "count"},
Points: [][]interface{}{
{now, metric.Count()},
},
})
case metrics.Gauge:
series = append(series, &influxClient.Series{
Name: fmt.Sprintf("%s.value", name),
Columns: []string{"time", "value"},
Points: [][]interface{}{
{now, metric.Value()},
},
})
case metrics.GaugeFloat64:
series = append(series, &influxClient.Series{
Name: fmt.Sprintf("%s.value", name),
Columns: []string{"time", "value"},
Points: [][]interface{}{
{now, metric.Value()},
},
})
case metrics.Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
series = append(series, &influxClient.Series{
Name: fmt.Sprintf("%s.histogram", name),
Columns: []string{"time", "count", "min", "max", "mean", "std-dev",
"50-percentile", "75-percentile", "95-percentile",
"99-percentile", "999-percentile"},
Points: [][]interface{}{
{now, h.Count(), h.Min(), h.Max(), h.Mean(), h.StdDev(),
ps[0], ps[1], ps[2], ps[3], ps[4]},
},
})
case metrics.Meter:
m := metric.Snapshot()
series = append(series, &influxClient.Series{
Name: fmt.Sprintf("%s.meter", name),
Columns: []string{"count", "one-minute",
"five-minute", "fifteen-minute", "mean"},
Points: [][]interface{}{
{m.Count(), m.Rate1(), m.Rate5(), m.Rate15(), m.RateMean()},
},
})
case metrics.Timer:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
series = append(series, &influxClient.Series{
Name: fmt.Sprintf("%s.timer", name),
Columns: []string{"count", "min", "max", "mean", "std-dev",
"50-percentile", "75-percentile", "95-percentile",
"99-percentile", "999-percentile", "one-minute", "five-minute", "fifteen-minute", "mean-rate"},
Points: [][]interface{}{
{h.Count(), h.Min(), h.Max(), h.Mean(), h.StdDev(),
ps[0], ps[1], ps[2], ps[3], ps[4],
h.Rate1(), h.Rate5(), h.Rate15(), h.RateMean()},
},
})
}
})
if err := client.WriteSeries(series); err != nil {
log.Println(err)
}
return nil
}