• Anton Evangelatov's avatar
    metrics: pull library and introduce ResettingTimer and InfluxDB reporter (#15910) · ae9f9722
    Anton Evangelatov authored
    * go-metrics: fork library and introduce ResettingTimer and InfluxDB reporter.
    
    * vendor: change nonsense/go-metrics to ethersphere/go-metrics
    
    * go-metrics: add tests. move ResettingTimer logic from reporter to type.
    
    * all, metrics: pull in metrics package in go-ethereum
    
    * metrics/test: make sure metrics are enabled for tests
    
    * metrics: apply gosimple rules
    
    * metrics/exp, internal/debug: init expvar endpoint when starting pprof server
    
    * internal/debug: tiny comment formatting fix
    ae9f9722
histogram_test.go 2.27 KB
package metrics

import "testing"

func BenchmarkHistogram(b *testing.B) {
	h := NewHistogram(NewUniformSample(100))
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		h.Update(int64(i))
	}
}

func TestGetOrRegisterHistogram(t *testing.T) {
	r := NewRegistry()
	s := NewUniformSample(100)
	NewRegisteredHistogram("foo", r, s).Update(47)
	if h := GetOrRegisterHistogram("foo", r, s); 1 != h.Count() {
		t.Fatal(h)
	}
}

func TestHistogram10000(t *testing.T) {
	h := NewHistogram(NewUniformSample(100000))
	for i := 1; i <= 10000; i++ {
		h.Update(int64(i))
	}
	testHistogram10000(t, h)
}

func TestHistogramEmpty(t *testing.T) {
	h := NewHistogram(NewUniformSample(100))
	if count := h.Count(); 0 != count {
		t.Errorf("h.Count(): 0 != %v\n", count)
	}
	if min := h.Min(); 0 != min {
		t.Errorf("h.Min(): 0 != %v\n", min)
	}
	if max := h.Max(); 0 != max {
		t.Errorf("h.Max(): 0 != %v\n", max)
	}
	if mean := h.Mean(); 0.0 != mean {
		t.Errorf("h.Mean(): 0.0 != %v\n", mean)
	}
	if stdDev := h.StdDev(); 0.0 != stdDev {
		t.Errorf("h.StdDev(): 0.0 != %v\n", stdDev)
	}
	ps := h.Percentiles([]float64{0.5, 0.75, 0.99})
	if 0.0 != ps[0] {
		t.Errorf("median: 0.0 != %v\n", ps[0])
	}
	if 0.0 != ps[1] {
		t.Errorf("75th percentile: 0.0 != %v\n", ps[1])
	}
	if 0.0 != ps[2] {
		t.Errorf("99th percentile: 0.0 != %v\n", ps[2])
	}
}

func TestHistogramSnapshot(t *testing.T) {
	h := NewHistogram(NewUniformSample(100000))
	for i := 1; i <= 10000; i++ {
		h.Update(int64(i))
	}
	snapshot := h.Snapshot()
	h.Update(0)
	testHistogram10000(t, snapshot)
}

func testHistogram10000(t *testing.T, h Histogram) {
	if count := h.Count(); 10000 != count {
		t.Errorf("h.Count(): 10000 != %v\n", count)
	}
	if min := h.Min(); 1 != min {
		t.Errorf("h.Min(): 1 != %v\n", min)
	}
	if max := h.Max(); 10000 != max {
		t.Errorf("h.Max(): 10000 != %v\n", max)
	}
	if mean := h.Mean(); 5000.5 != mean {
		t.Errorf("h.Mean(): 5000.5 != %v\n", mean)
	}
	if stdDev := h.StdDev(); 2886.751331514372 != stdDev {
		t.Errorf("h.StdDev(): 2886.751331514372 != %v\n", stdDev)
	}
	ps := h.Percentiles([]float64{0.5, 0.75, 0.99})
	if 5000.5 != ps[0] {
		t.Errorf("median: 5000.5 != %v\n", ps[0])
	}
	if 7500.75 != ps[1] {
		t.Errorf("75th percentile: 7500.75 != %v\n", ps[1])
	}
	if 9900.99 != ps[2] {
		t.Errorf("99th percentile: 9900.99 != %v\n", ps[2])
	}
}