Example #1
0
// Process the input metric.
//
//	1. Match metric with rules.
//	2. Detect the metric with matched rules.
//
func (d *Detector) process(m *models.Metric) {
	health.IncrNumMetricIncomed(1)
	timer := util.NewTimer()
	// Match
	ok, rules := d.match(m)
	if !ok {
		// Not matched.
		return
	}
	// Detect
	err := d.detect(m, rules)
	if err != nil {
		log.Error("detect: %v, skipping..", err)
		return
	}
	health.IncrNumMetricDetected(1)
	// Output
	if len(m.TestedRules) > 0 {
		// Test ok.
		d.output(m)
	}
	// Time end.
	elapsed := timer.Elapsed()
	if elapsed > timeout {
		log.Warn("detection is slow: %.2fms", elapsed)
	}
	health.AddDetectionCost(elapsed)
}
Example #2
0
// process the input metric.
// Steps:
//	1. Match metric with all rules.
//	2. Detect the metric with matched rules.
//	3. Output detection results to receivers.
func (d *Detector) process(m *models.Metric, shouldAdjustIdle bool) {
	health.IncrNumMetricIncomed(1)
	timer := util.NewTimer() // Detection cost timer
	// Match
	ok, rules := d.match(m)
	if !ok {
		return
	}
	if shouldAdjustIdle {
		d.adjustIdleM(m, rules)
	}
	// Detect
	evs, err := d.detect(m, rules)
	if err != nil {
		log.Errorf("detect: %v, skipping..", err)
		return
	}
	health.IncrNumMetricDetected(1)
	// Output
	for _, ev := range evs {
		d.output(ev)
	}
	// Time end.
	elapsed := timer.Elapsed()
	if elapsed > float64(d.cfg.Detector.WarningTimeout) {
		log.Warnf("detection is slow: %.2fms", elapsed)
	}
	health.AddDetectionCost(elapsed)
}
Example #3
0
// Process the input metric.
//
//	1. Match metric with rules.
//	2. Detect the metric with matched rules.
//
func (d *Detector) process(m *models.Metric) {
	health.IncrNumMetricIncomed(1)
	// Time it.
	startAt := time.Now()
	// Match
	ok, rules := d.match(m)
	if !ok {
		// Not matched.
		return
	}
	// Detect
	err := d.detect(m, rules)
	if err != nil {
		log.Error("detect: %v, skipping..", err)
		return
	}
	health.IncrNumMetricDetected(1)
	// Output
	if len(m.TestedRules) > 0 {
		// Test ok.
		d.output(m)
	}
	// Time end.
	elapsed := float64(time.Since(startAt).Nanoseconds()) / float64(1000*1000)
	if elapsed > timeout {
		log.Warn("detection is slow: %.2fms", elapsed)
	}
	health.AddDetectionCost(elapsed)
}