mirror of https://github.com/divan/expvarmon.git
Add GCPauses var kind
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a7619df293
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@ -0,0 +1,150 @@
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package main
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type Histogram struct {
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Bins []Bin
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Maxbins int
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Total uint64
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}
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type Bin struct {
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Value, Count uint64
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}
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// NewHistogram returns a new Histogram with a maximum of n bins.
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//
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// There is no "optimal" bin count, but somewhere between 20 and 80 bins
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// should be sufficient.
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func NewHistogram(n int) *Histogram {
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return &Histogram{
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Bins: make([]Bin, 0),
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Maxbins: n,
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Total: 0,
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}
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}
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func (h *Histogram) Add(n uint64) {
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defer h.trim()
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h.Total++
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for i := range h.Bins {
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if h.Bins[i].Value == n {
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h.Bins[i].Count++
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return
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}
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if h.Bins[i].Value > n {
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newbin := Bin{Value: n, Count: 1}
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head := append(make([]Bin, 0), h.Bins[0:i]...)
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head = append(head, newbin)
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tail := h.Bins[i:]
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h.Bins = append(head, tail...)
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return
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}
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}
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h.Bins = append(h.Bins, Bin{Count: 1, Value: n})
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}
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func (h *Histogram) Quantile(q uint64) int64 {
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count := q * h.Total
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for i := range h.Bins {
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count -= h.Bins[i].Count
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if count <= 0 {
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return int64(h.Bins[i].Value)
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}
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}
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return -1
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}
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// CDF returns the value of the cumulative distribution function
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// at x
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func (h *Histogram) CDF(x uint64) uint64 {
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var count uint64
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for i := range h.Bins {
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if h.Bins[i].Value <= x {
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count += h.Bins[i].Count
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}
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}
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return count / h.Total
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}
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// Mean returns the sample mean of the distribution
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func (h *Histogram) Mean() float64 {
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if h.Total == 0 {
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return 0
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}
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sum := 0.0
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for i := range h.Bins {
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sum += float64(h.Bins[i].Value * h.Bins[i].Count)
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}
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return sum / float64(h.Total)
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}
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// Variance returns the variance of the distribution
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func (h *Histogram) Variance() float64 {
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if h.Total == 0 {
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return 0
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}
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sum := 0.0
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mean := h.Mean()
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for i := range h.Bins {
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sum += float64(h.Bins[i].Count * (h.Bins[i].Value - uint64(mean)) * (h.Bins[i].Value - uint64(mean)))
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}
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return sum / float64(h.Total)
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}
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func (h *Histogram) Count() uint64 {
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return h.Total
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}
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// trim merges adjacent bins to decrease the bin count to the maximum value
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func (h *Histogram) trim() {
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for len(h.Bins) > h.Maxbins {
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// Find closest bins in terms of value
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minDelta := uint64(1e10)
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minDeltaIndex := 0
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for i := range h.Bins {
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if i == 0 {
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continue
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}
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if delta := h.Bins[i].Value - h.Bins[i-1].Value; delta < minDelta {
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minDelta = delta
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minDeltaIndex = i
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}
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}
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// We need to merge bins minDeltaIndex-1 and minDeltaIndex
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totalCount := h.Bins[minDeltaIndex-1].Count + h.Bins[minDeltaIndex].Count
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mergedbin := Bin{
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Value: (h.Bins[minDeltaIndex-1].Value*
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h.Bins[minDeltaIndex-1].Count +
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h.Bins[minDeltaIndex].Value*
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h.Bins[minDeltaIndex].Count) /
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totalCount, // weighted average
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Count: totalCount, // summed heights
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}
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head := append(make([]Bin, 0), h.Bins[0:minDeltaIndex-1]...)
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tail := append([]Bin{mergedbin}, h.Bins[minDeltaIndex+1:]...)
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h.Bins = append(head, tail...)
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}
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}
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func (h *Histogram) BarchartData() ([]uint64, []int) {
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values := make([]uint64, len(h.Bins))
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counts := make([]int, len(h.Bins))
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for i := 0; i < len(h.Bins); i++ {
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values[i] = h.Bins[i].Value
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counts[i] = int(h.Bins[i].Count)
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}
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return values, counts
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}
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70
var.go
70
var.go
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@ -25,6 +25,7 @@ const (
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KindMemory
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KindDuration
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KindString
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KindGCPauses
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)
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// Var represents arbitrary value for variable.
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@ -41,6 +42,26 @@ type IntVar interface {
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Value() int
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}
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// NewVar inits new Var object with the given name.
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func NewVar(name VarName) Var {
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kind := name.Kind()
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switch kind {
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case KindDefault:
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return &Number{}
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case KindMemory:
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return &Memory{}
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case KindDuration:
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return &Duration{}
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case KindString:
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return &String{}
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case KindGCPauses:
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return &GCPauses{}
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default:
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return &Number{}
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}
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}
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// Number is a type for numeric values, obtained from JSON.
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// In JSON it's always float64, so there is no straightforward way
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// to separate float from int, so let's keep everything as float.
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@ -131,25 +152,35 @@ func (v *String) Set(j *jason.Value) {
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}
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}
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// TODO: add boolean, timestamp, gcpauses, gcendtimes types
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// GCPauses represents GC pauses data.
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//
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// It uses memstat.PauseNS circular buffer, but lacks
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// NumGC information, so we don't know what the start
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// and the end. It's enough for most stats, though.
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type GCPauses struct {
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pauses [256]uint64
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}
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// NewVar inits new Var object with the given name.
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func NewVar(name VarName) Var {
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kind := name.Kind()
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switch kind {
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case KindDefault:
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return &Number{}
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case KindMemory:
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return &Memory{}
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case KindDuration:
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return &Duration{}
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case KindString:
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return &String{}
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default:
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return &Number{}
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func (v *GCPauses) Kind() VarKind { return KindGCPauses }
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func (v *GCPauses) String() string { return "" }
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func (v *GCPauses) Set(j *jason.Value) {
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v.pauses = [256]uint64{}
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if arr, err := j.Array(); err == nil {
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for i := 0; i < len(arr); i++ {
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p, _ := arr[i].Int64()
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v.pauses[i] = uint64(p)
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}
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}
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}
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func (v *GCPauses) Histogram(bins int) *Histogram {
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hist := NewHistogram(bins)
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for i := 0; i < 256; i++ {
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hist.Add(v.pauses[i])
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}
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return hist
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}
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// TODO: add boolean, timestamp, gcpauses, gcendtimes types
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// ToSlice converts "dot-separated" notation into the "slice of strings".
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//
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@ -184,8 +215,13 @@ func (v VarName) Long() string {
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return string(v)[start:]
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}
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// Kind returns kind of variable, based on it's name modifiers ("mem:")
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// Kind returns kind of variable, based on it's name
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// modifiers ("mem:") or full names for special cases.
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func (v VarName) Kind() VarKind {
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if v.Long() == "memstats.PauseNs" {
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return KindGCPauses
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}
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start := strings.IndexRune(string(v), ':')
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if start == -1 {
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return KindDefault
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15
var_test.go
15
var_test.go
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@ -191,3 +191,18 @@ func TestVarString(t *testing.T) {
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t.Fatalf("Expect value to be %s, got %s", want, v.String())
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}
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}
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func TestVarGCPauses(t *testing.T) {
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v := &GCPauses{}
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v.Set(str2val(t, pauseNSTest))
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hist := v.Histogram(20)
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if values, _ := hist.BarchartData(); len(values) != 20 {
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t.Fatalf("Expect len of values to be 20, got %v", len(values))
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}
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// TODO: check if it's true mean :)
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if want, mean := 67383.87109375, hist.Mean(); mean != want {
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t.Fatalf("Expect mean to be be %v, got %v", want, mean)
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}
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}
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const pauseNSTest = "[65916, 92412, 67016, 59076, 55161, 53428, 128675, 90476, 78093, 60473, 64353, 58214, 83926, 64390, 103391, 71275, 76651, 56475, 367180, 184505, 307648, 175680, 129120, 102616, 127322, 224862, 83092, 148607, 122833, 139011, 494885, 97452, 95129, 115403, 119657, 122214, 111744, 115824, 95834, 81927, 91120, 131541, 75511, 135424, 125637, 85784, 107094, 101551, 110081, 80628, 123030, 130343, 128940, 114670, 111470, 75146, 101250, 117553, 112062, 106360, 101543, 108607, 245857, 106147, 108091, 84570, 78700, 117863, 74284, 102977, 83952, 108068, 89709, 115250, 108062, 135150, 84460, 389962, 109881, 79255, 88669, 106366, 90551, 115548, 93409, 124459, 93660, 132709, 70662, 119209, 86984, 118776, 114768, 107875, 70117, 95590, 90558, 86439, 85069, 83155, 89212, 115581, 61221, 78387, 67468, 82099, 107160, 83947, 109817, 113753, 121822, 87682, 104144, 88659, 82247, 91591, 138847, 498527, 121882, 114585, 135840, 111263, 101143, 106915, 100841, 110974, 71145, 97220, 118328, 103716, 115043, 74672, 86126, 106929, 115845, 97969, 118960, 103949, 96019, 80543, 106717, 115346, 114901, 88455, 76337, 107155, 141398, 92871, 120444, 90579, 110057, 94518, 115869, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]"
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