ae9f97221a
* 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
96 lines
2.3 KiB
Go
96 lines
2.3 KiB
Go
package metrics
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import "testing"
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func BenchmarkHistogram(b *testing.B) {
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h := NewHistogram(NewUniformSample(100))
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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h.Update(int64(i))
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}
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}
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func TestGetOrRegisterHistogram(t *testing.T) {
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r := NewRegistry()
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s := NewUniformSample(100)
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NewRegisteredHistogram("foo", r, s).Update(47)
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if h := GetOrRegisterHistogram("foo", r, s); 1 != h.Count() {
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t.Fatal(h)
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}
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}
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func TestHistogram10000(t *testing.T) {
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h := NewHistogram(NewUniformSample(100000))
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for i := 1; i <= 10000; i++ {
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h.Update(int64(i))
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}
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testHistogram10000(t, h)
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}
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func TestHistogramEmpty(t *testing.T) {
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h := NewHistogram(NewUniformSample(100))
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if count := h.Count(); 0 != count {
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t.Errorf("h.Count(): 0 != %v\n", count)
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}
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if min := h.Min(); 0 != min {
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t.Errorf("h.Min(): 0 != %v\n", min)
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}
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if max := h.Max(); 0 != max {
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t.Errorf("h.Max(): 0 != %v\n", max)
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}
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if mean := h.Mean(); 0.0 != mean {
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t.Errorf("h.Mean(): 0.0 != %v\n", mean)
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}
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if stdDev := h.StdDev(); 0.0 != stdDev {
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t.Errorf("h.StdDev(): 0.0 != %v\n", stdDev)
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}
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ps := h.Percentiles([]float64{0.5, 0.75, 0.99})
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if 0.0 != ps[0] {
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t.Errorf("median: 0.0 != %v\n", ps[0])
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}
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if 0.0 != ps[1] {
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t.Errorf("75th percentile: 0.0 != %v\n", ps[1])
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}
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if 0.0 != ps[2] {
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t.Errorf("99th percentile: 0.0 != %v\n", ps[2])
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}
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}
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func TestHistogramSnapshot(t *testing.T) {
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h := NewHistogram(NewUniformSample(100000))
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for i := 1; i <= 10000; i++ {
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h.Update(int64(i))
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}
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snapshot := h.Snapshot()
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h.Update(0)
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testHistogram10000(t, snapshot)
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}
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func testHistogram10000(t *testing.T, h Histogram) {
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if count := h.Count(); 10000 != count {
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t.Errorf("h.Count(): 10000 != %v\n", count)
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}
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if min := h.Min(); 1 != min {
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t.Errorf("h.Min(): 1 != %v\n", min)
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}
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if max := h.Max(); 10000 != max {
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t.Errorf("h.Max(): 10000 != %v\n", max)
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}
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if mean := h.Mean(); 5000.5 != mean {
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t.Errorf("h.Mean(): 5000.5 != %v\n", mean)
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}
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if stdDev := h.StdDev(); 2886.751331514372 != stdDev {
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t.Errorf("h.StdDev(): 2886.751331514372 != %v\n", stdDev)
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}
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ps := h.Percentiles([]float64{0.5, 0.75, 0.99})
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if 5000.5 != ps[0] {
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t.Errorf("median: 5000.5 != %v\n", ps[0])
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}
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if 7500.75 != ps[1] {
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t.Errorf("75th percentile: 7500.75 != %v\n", ps[1])
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}
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if 9900.99 != ps[2] {
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t.Errorf("99th percentile: 9900.99 != %v\n", ps[2])
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}
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}
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