github.com/theQRL/go-zond@v0.1.1/metrics/runtimehistogram_test.go (about)

     1  package metrics
     2  
     3  import (
     4  	"bytes"
     5  	"encoding/gob"
     6  	"fmt"
     7  	"math"
     8  	"reflect"
     9  	"runtime/metrics"
    10  	"testing"
    11  	"time"
    12  )
    13  
    14  var _ Histogram = (*runtimeHistogram)(nil)
    15  
    16  type runtimeHistogramTest struct {
    17  	h metrics.Float64Histogram
    18  
    19  	Count       int64
    20  	Min         int64
    21  	Max         int64
    22  	Sum         int64
    23  	Mean        float64
    24  	Variance    float64
    25  	StdDev      float64
    26  	Percentiles []float64 // .5 .8 .9 .99 .995
    27  }
    28  
    29  // This test checks the results of statistical functions implemented
    30  // by runtimeHistogramSnapshot.
    31  func TestRuntimeHistogramStats(t *testing.T) {
    32  	tests := []runtimeHistogramTest{
    33  		0: {
    34  			h: metrics.Float64Histogram{
    35  				Counts:  []uint64{},
    36  				Buckets: []float64{},
    37  			},
    38  			Count:       0,
    39  			Max:         0,
    40  			Min:         0,
    41  			Sum:         0,
    42  			Mean:        0,
    43  			Variance:    0,
    44  			StdDev:      0,
    45  			Percentiles: []float64{0, 0, 0, 0, 0},
    46  		},
    47  		1: {
    48  			// This checks the case where the highest bucket is +Inf.
    49  			h: metrics.Float64Histogram{
    50  				Counts:  []uint64{0, 1, 2},
    51  				Buckets: []float64{0, 0.5, 1, math.Inf(1)},
    52  			},
    53  			Count:       3,
    54  			Max:         1,
    55  			Min:         0,
    56  			Sum:         3,
    57  			Mean:        0.9166666,
    58  			Percentiles: []float64{1, 1, 1, 1, 1},
    59  			Variance:    0.020833,
    60  			StdDev:      0.144433,
    61  		},
    62  		2: {
    63  			h: metrics.Float64Histogram{
    64  				Counts:  []uint64{8, 6, 3, 1},
    65  				Buckets: []float64{12, 16, 18, 24, 25},
    66  			},
    67  			Count:       18,
    68  			Max:         25,
    69  			Min:         12,
    70  			Sum:         270,
    71  			Mean:        16.75,
    72  			Variance:    10.3015,
    73  			StdDev:      3.2096,
    74  			Percentiles: []float64{16, 18, 18, 24, 24},
    75  		},
    76  	}
    77  
    78  	for i, test := range tests {
    79  		t.Run(fmt.Sprint(i), func(t *testing.T) {
    80  			s := RuntimeHistogramFromData(1.0, &test.h).Snapshot()
    81  
    82  			if v := s.Count(); v != test.Count {
    83  				t.Errorf("Count() = %v, want %v", v, test.Count)
    84  			}
    85  			if v := s.Min(); v != test.Min {
    86  				t.Errorf("Min() = %v, want %v", v, test.Min)
    87  			}
    88  			if v := s.Max(); v != test.Max {
    89  				t.Errorf("Max() = %v, want %v", v, test.Max)
    90  			}
    91  			if v := s.Sum(); v != test.Sum {
    92  				t.Errorf("Sum() = %v, want %v", v, test.Sum)
    93  			}
    94  			if v := s.Mean(); !approxEqual(v, test.Mean, 0.0001) {
    95  				t.Errorf("Mean() = %v, want %v", v, test.Mean)
    96  			}
    97  			if v := s.Variance(); !approxEqual(v, test.Variance, 0.0001) {
    98  				t.Errorf("Variance() = %v, want %v", v, test.Variance)
    99  			}
   100  			if v := s.StdDev(); !approxEqual(v, test.StdDev, 0.0001) {
   101  				t.Errorf("StdDev() = %v, want %v", v, test.StdDev)
   102  			}
   103  			ps := []float64{.5, .8, .9, .99, .995}
   104  			if v := s.Percentiles(ps); !reflect.DeepEqual(v, test.Percentiles) {
   105  				t.Errorf("Percentiles(%v) = %v, want %v", ps, v, test.Percentiles)
   106  			}
   107  		})
   108  	}
   109  }
   110  
   111  func approxEqual(x, y, ε float64) bool {
   112  	if math.IsInf(x, -1) && math.IsInf(y, -1) {
   113  		return true
   114  	}
   115  	if math.IsInf(x, 1) && math.IsInf(y, 1) {
   116  		return true
   117  	}
   118  	if math.IsNaN(x) && math.IsNaN(y) {
   119  		return true
   120  	}
   121  	return math.Abs(x-y) < ε
   122  }
   123  
   124  // This test verifies that requesting Percentiles in unsorted order
   125  // returns them in the requested order.
   126  func TestRuntimeHistogramStatsPercentileOrder(t *testing.T) {
   127  	s := RuntimeHistogramFromData(1.0, &metrics.Float64Histogram{
   128  		Counts:  []uint64{1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
   129  		Buckets: []float64{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
   130  	}).Snapshot()
   131  	result := s.Percentiles([]float64{1, 0.2, 0.5, 0.1, 0.2})
   132  	expected := []float64{10, 2, 5, 1, 2}
   133  	if !reflect.DeepEqual(result, expected) {
   134  		t.Fatal("wrong result:", result)
   135  	}
   136  }
   137  
   138  func BenchmarkRuntimeHistogramSnapshotRead(b *testing.B) {
   139  	var sLatency = "7\xff\x81\x03\x01\x01\x10Float64Histogram\x01\xff\x82\x00\x01\x02\x01\x06Counts\x01\xff\x84\x00\x01\aBuckets\x01\xff\x86\x00\x00\x00\x16\xff\x83\x02\x01\x01\b[]uint64\x01\xff\x84\x00\x01\x06\x00\x00\x17\xff\x85\x02\x01\x01\t[]float64\x01\xff\x86\x00\x01\b\x00\x00\xfe\x06T\xff\x82\x01\xff\xa2\x00\xfe\r\xef\x00\x01\x02\x02\x04\x05\x04\b\x15\x17 B?6.L;$!2) \x1a? \x190aH7FY6#\x190\x1d\x14\x10\x1b\r\t\x04\x03\x01\x01\x00\x03\x02\x00\x03\x05\x05\x02\x02\x06\x04\v\x06\n\x15\x18\x13'&.\x12=H/L&\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\xff\xa3\xfe\xf0\xff\x00\xf8\x95\xd6&\xe8\v.q>\xf8\x95\xd6&\xe8\v.\x81>\xf8\xdfA:\xdc\x11ʼn>\xf8\x95\xd6&\xe8\v.\x91>\xf8:\x8c0\xe2\x8ey\x95>\xf8\xdfA:\xdc\x11ř>\xf8\x84\xf7C֔\x10\x9e>\xf8\x95\xd6&\xe8\v.\xa1>\xf8:\x8c0\xe2\x8ey\xa5>\xf8\xdfA:\xdc\x11ũ>\xf8\x84\xf7C֔\x10\xae>\xf8\x95\xd6&\xe8\v.\xb1>\xf8:\x8c0\xe2\x8ey\xb5>\xf8\xdfA:\xdc\x11Ź>\xf8\x84\xf7C֔\x10\xbe>\xf8\x95\xd6&\xe8\v.\xc1>\xf8:\x8c0\xe2\x8ey\xc5>\xf8\xdfA:\xdc\x11\xc5\xc9>\xf8\x84\xf7C֔\x10\xce>\xf8\x95\xd6&\xe8\v.\xd1>\xf8:\x8c0\xe2\x8ey\xd5>\xf8\xdfA:\xdc\x11\xc5\xd9>\xf8\x84\xf7C֔\x10\xde>\xf8\x95\xd6&\xe8\v.\xe1>\xf8:\x8c0\xe2\x8ey\xe5>\xf8\xdfA:\xdc\x11\xc5\xe9>\xf8\x84\xf7C֔\x10\xee>\xf8\x95\xd6&\xe8\v.\xf1>\xf8:\x8c0\xe2\x8ey\xf5>\xf8\xdfA:\xdc\x11\xc5\xf9>\xf8\x84\xf7C֔\x10\xfe>\xf8\x95\xd6&\xe8\v.\x01?\xf8:\x8c0\xe2\x8ey\x05?\xf8\xdfA:\xdc\x11\xc5\t?\xf8\x84\xf7C֔\x10\x0e?\xf8\x95\xd6&\xe8\v.\x11?\xf8:\x8c0\xe2\x8ey\x15?\xf8\xdfA:\xdc\x11\xc5\x19?\xf8\x84\xf7C֔\x10\x1e?\xf8\x95\xd6&\xe8\v.!?\xf8:\x8c0\xe2\x8ey%?\xf8\xdfA:\xdc\x11\xc5)?\xf8\x84\xf7C֔\x10.?\xf8\x95\xd6&\xe8\v.1?\xf8:\x8c0\xe2\x8ey5?\xf8\xdfA:\xdc\x11\xc59?\xf8\x84\xf7C֔\x10>?\xf8\x95\xd6&\xe8\v.A?\xf8:\x8c0\xe2\x8eyE?\xf8\xdfA:\xdc\x11\xc5I?\xf8\x84\xf7C֔\x10N?\xf8\x95\xd6&\xe8\v.Q?\xf8:\x8c0\xe2\x8eyU?\xf8\xdfA:\xdc\x11\xc5Y?\xf8\x84\xf7C֔\x10^?\xf8\x95\xd6&\xe8\v.a?\xf8:\x8c0\xe2\x8eye?\xf8\xdfA:\xdc\x11\xc5i?\xf8\x84\xf7C֔\x10n?\xf8\x95\xd6&\xe8\v.q?\xf8:\x8c0\xe2\x8eyu?\xf8\xdfA:\xdc\x11\xc5y?\xf8\x84\xf7C֔\x10~?\xf8\x95\xd6&\xe8\v.\x81?\xf8:\x8c0\xe2\x8ey\x85?\xf8\xdfA:\xdc\x11ʼn?\xf8\x84\xf7C֔\x10\x8e?\xf8\x95\xd6&\xe8\v.\x91?\xf8:\x8c0\xe2\x8ey\x95?\xf8\xdfA:\xdc\x11ř?\xf8\x84\xf7C֔\x10\x9e?\xf8\x95\xd6&\xe8\v.\xa1?\xf8:\x8c0\xe2\x8ey\xa5?\xf8\xdfA:\xdc\x11ũ?\xf8\x84\xf7C֔\x10\xae?\xf8\x95\xd6&\xe8\v.\xb1?\xf8:\x8c0\xe2\x8ey\xb5?\xf8\xdfA:\xdc\x11Ź?\xf8\x84\xf7C֔\x10\xbe?\xf8\x95\xd6&\xe8\v.\xc1?\xf8:\x8c0\xe2\x8ey\xc5?\xf8\xdfA:\xdc\x11\xc5\xc9?\xf8\x84\xf7C֔\x10\xce?\xf8\x95\xd6&\xe8\v.\xd1?\xf8:\x8c0\xe2\x8ey\xd5?\xf8\xdfA:\xdc\x11\xc5\xd9?\xf8\x84\xf7C֔\x10\xde?\xf8\x95\xd6&\xe8\v.\xe1?\xf8:\x8c0\xe2\x8ey\xe5?\xf8\xdfA:\xdc\x11\xc5\xe9?\xf8\x84\xf7C֔\x10\xee?\xf8\x95\xd6&\xe8\v.\xf1?\xf8:\x8c0\xe2\x8ey\xf5?\xf8\xdfA:\xdc\x11\xc5\xf9?\xf8\x84\xf7C֔\x10\xfe?\xf8\x95\xd6&\xe8\v.\x01@\xf8:\x8c0\xe2\x8ey\x05@\xf8\xdfA:\xdc\x11\xc5\t@\xf8\x84\xf7C֔\x10\x0e@\xf8\x95\xd6&\xe8\v.\x11@\xf8:\x8c0\xe2\x8ey\x15@\xf8\xdfA:\xdc\x11\xc5\x19@\xf8\x84\xf7C֔\x10\x1e@\xf8\x95\xd6&\xe8\v.!@\xf8:\x8c0\xe2\x8ey%@\xf8\xdfA:\xdc\x11\xc5)@\xf8\x84\xf7C֔\x10.@\xf8\x95\xd6&\xe8\v.1@\xf8:\x8c0\xe2\x8ey5@\xf8\xdfA:\xdc\x11\xc59@\xf8\x84\xf7C֔\x10>@\xf8\x95\xd6&\xe8\v.A@\xf8:\x8c0\xe2\x8eyE@\xf8\xdfA:\xdc\x11\xc5I@\xf8\x84\xf7C֔\x10N@\xf8\x95\xd6&\xe8\v.Q@\xf8:\x8c0\xe2\x8eyU@\xf8\xdfA:\xdc\x11\xc5Y@\xf8\x84\xf7C֔\x10^@\xf8\x95\xd6&\xe8\v.a@\xf8:\x8c0\xe2\x8eye@\xf8\xdfA:\xdc\x11\xc5i@\xf8\x84\xf7C֔\x10n@\xf8\x95\xd6&\xe8\v.q@\xf8:\x8c0\xe2\x8eyu@\xf8\xdfA:\xdc\x11\xc5y@\xf8\x84\xf7C֔\x10~@\xf8\x95\xd6&\xe8\v.\x81@\xf8:\x8c0\xe2\x8ey\x85@\xf8\xdfA:\xdc\x11ʼn@\xf8\x84\xf7C֔\x10\x8e@\xf8\x95\xd6&\xe8\v.\x91@\xf8:\x8c0\xe2\x8ey\x95@\xf8\xdfA:\xdc\x11ř@\xf8\x84\xf7C֔\x10\x9e@\xf8\x95\xd6&\xe8\v.\xa1@\xf8:\x8c0\xe2\x8ey\xa5@\xf8\xdfA:\xdc\x11ũ@\xf8\x84\xf7C֔\x10\xae@\xf8\x95\xd6&\xe8\v.\xb1@\xf8:\x8c0\xe2\x8ey\xb5@\xf8\xdfA:\xdc\x11Ź@\xf8\x84\xf7C֔\x10\xbe@\xf8\x95\xd6&\xe8\v.\xc1@\xf8:\x8c0\xe2\x8ey\xc5@\xf8\xdfA:\xdc\x11\xc5\xc9@\xf8\x84\xf7C֔\x10\xce@\xf8\x95\xd6&\xe8\v.\xd1@\xf8:\x8c0\xe2\x8ey\xd5@\xf8\xdfA:\xdc\x11\xc5\xd9@\xf8\x84\xf7C֔\x10\xde@\xf8\x95\xd6&\xe8\v.\xe1@\xf8:\x8c0\xe2\x8ey\xe5@\xf8\xdfA:\xdc\x11\xc5\xe9@\xf8\x84\xf7C֔\x10\xee@\xf8\x95\xd6&\xe8\v.\xf1@\xf8:\x8c0\xe2\x8ey\xf5@\xf8\xdfA:\xdc\x11\xc5\xf9@\xf8\x84\xf7C֔\x10\xfe@\xf8\x95\xd6&\xe8\v.\x01A\xfe\xf0\x7f\x00"
   140  
   141  	dserialize := func(data string) *metrics.Float64Histogram {
   142  		var res metrics.Float64Histogram
   143  		if err := gob.NewDecoder(bytes.NewReader([]byte(data))).Decode(&res); err != nil {
   144  			panic(err)
   145  		}
   146  		return &res
   147  	}
   148  	latency := RuntimeHistogramFromData(float64(time.Second), dserialize(sLatency))
   149  	b.ResetTimer()
   150  	b.ReportAllocs()
   151  	for i := 0; i < b.N; i++ {
   152  		snap := latency.Snapshot()
   153  		// These are the fields that influxdb accesses
   154  		_ = snap.Count()
   155  		_ = snap.Max()
   156  		_ = snap.Mean()
   157  		_ = snap.Min()
   158  		_ = snap.StdDev()
   159  		_ = snap.Variance()
   160  		_ = snap.Percentiles([]float64{0.25, 0.5, 0.75, 0.95, 0.99, 0.999, 0.9999})
   161  	}
   162  }