Resolves #81 - Reduce log levels

* Reduced all `log.Error*` events to `log.Debug*` in `exporter.go` where
  an existing internal metric tracks the event.
This commit is contained in:
Dave Rawks 2017-08-14 16:04:57 -07:00
parent aeab2905ad
commit 42e41f1a7e

View file

@ -274,7 +274,7 @@ func (b *Exporter) Listen(e <-chan Events) {
// We don't accept negative values for counters. Incrementing the counter with a negative number
// will cause the exporter to panic. Instead we will warn and continue to the next event.
if event.Value() < 0.0 {
log.Errorf("Counter %q is: '%f' (counter must be non-negative value)", metricName, event.Value())
log.Debugf("Counter %q is: '%f' (counter must be non-negative value)", metricName, event.Value())
continue
}
@ -287,7 +287,7 @@ func (b *Exporter) Listen(e <-chan Events) {
eventStats.WithLabelValues("counter").Inc()
} else {
log.Errorf(regErrF, metricName, err)
log.Debugf(regErrF, metricName, err)
conflictingEventStats.WithLabelValues("counter").Inc()
}
@ -306,7 +306,7 @@ func (b *Exporter) Listen(e <-chan Events) {
eventStats.WithLabelValues("gauge").Inc()
} else {
log.Errorf(regErrF, metricName, err)
log.Debugf(regErrF, metricName, err)
conflictingEventStats.WithLabelValues("gauge").Inc()
}
@ -330,7 +330,7 @@ func (b *Exporter) Listen(e <-chan Events) {
histogram.Observe(event.Value())
eventStats.WithLabelValues("timer").Inc()
} else {
log.Errorf(regErrF, metricName, err)
log.Debugf(regErrF, metricName, err)
conflictingEventStats.WithLabelValues("timer").Inc()
}
@ -343,7 +343,7 @@ func (b *Exporter) Listen(e <-chan Events) {
summary.Observe(event.Value())
eventStats.WithLabelValues("timer").Inc()
} else {
log.Errorf(regErrF, metricName, err)
log.Debugf(regErrF, metricName, err)
conflictingEventStats.WithLabelValues("timer").Inc()
}
@ -352,7 +352,7 @@ func (b *Exporter) Listen(e <-chan Events) {
}
default:
log.Errorln("Unsupported event type")
log.Debugln("Unsupported event type")
eventStats.WithLabelValues("illegal").Inc()
}
}
@ -408,7 +408,7 @@ func parseDogStatsDTagsToLabels(component string) map[string]string {
if len(kv) < 2 || len(kv[1]) == 0 {
networkStats.WithLabelValues("malformed_dogstatsd_tag").Inc()
log.Errorf("Malformed or empty DogStatsD tag %s in component %s", t, component)
log.Debugf("Malformed or empty DogStatsD tag %s in component %s", t, component)
continue
}
@ -426,7 +426,7 @@ func lineToEvents(line string) Events {
elements := strings.SplitN(line, ":", 2)
if len(elements) < 2 || len(elements[0]) == 0 || !utf8.ValidString(line) {
networkStats.WithLabelValues("malformed_line").Inc()
log.Errorln("Bad line from StatsD:", line)
log.Debugln("Bad line from StatsD:", line)
return events
}
metric := elements[0]
@ -443,7 +443,7 @@ samples:
samplingFactor := 1.0
if len(components) < 2 || len(components) > 4 {
networkStats.WithLabelValues("malformed_component").Inc()
log.Errorln("Bad component on line:", line)
log.Debugln("Bad component on line:", line)
continue
}
valueStr, statType := components[0], components[1]
@ -455,7 +455,7 @@ samples:
value, err := strconv.ParseFloat(valueStr, 64)
if err != nil {
log.Errorf("Bad value %s on line: %s", valueStr, line)
log.Debugf("Bad value %s on line: %s", valueStr, line)
networkStats.WithLabelValues("malformed_value").Inc()
continue
}
@ -465,7 +465,7 @@ samples:
if len(components) >= 3 {
for _, component := range components[2:] {
if len(component) == 0 {
log.Errorln("Empty component on line: ", line)
log.Debugln("Empty component on line: ", line)
networkStats.WithLabelValues("malformed_component").Inc()
continue samples
}
@ -475,13 +475,13 @@ samples:
switch component[0] {
case '@':
if statType != "c" && statType != "ms" {
log.Errorln("Illegal sampling factor for non-counter metric on line", line)
log.Debugln("Illegal sampling factor for non-counter metric on line", line)
networkStats.WithLabelValues("illegal_sample_factor").Inc()
continue
}
samplingFactor, err = strconv.ParseFloat(component[1:], 64)
if err != nil {
log.Errorf("Invalid sampling factor %s on line %s", component[1:], line)
log.Debugf("Invalid sampling factor %s on line %s", component[1:], line)
networkStats.WithLabelValues("invalid_sample_factor").Inc()
}
if samplingFactor == 0 {
@ -496,7 +496,7 @@ samples:
case '#':
labels = parseDogStatsDTagsToLabels(component)
default:
log.Errorf("Invalid sampling factor or tag section %s on line %s", components[2], line)
log.Debugf("Invalid sampling factor or tag section %s on line %s", components[2], line)
networkStats.WithLabelValues("invalid_sample_factor").Inc()
continue
}
@ -506,7 +506,7 @@ samples:
for i := 0; i < multiplyEvents; i++ {
event, err := buildEvent(statType, metric, value, relative, labels)
if err != nil {
log.Errorf("Error building event on line %s: %s", line, err)
log.Debugf("Error building event on line %s: %s", line, err)
networkStats.WithLabelValues("illegal_event").Inc()
continue
}
@ -564,13 +564,13 @@ func (l *StatsDTCPListener) handleConn(c *net.TCPConn, e chan<- Events) {
if err != nil {
if err != io.EOF {
networkStats.WithLabelValues("tcp_error").Inc()
log.Errorf("Read %s failed: %v", c.RemoteAddr(), err)
log.Debugf("Read %s failed: %v", c.RemoteAddr(), err)
}
break
}
if isPrefix {
networkStats.WithLabelValues("tcp_line_too_long").Inc()
log.Errorf("Read %s failed: line too long", c.RemoteAddr())
log.Debugf("Read %s failed: line too long", c.RemoteAddr())
break
}
e <- lineToEvents(string(line))