Add vendoring to containerd master
Initial vendor list validated with empty $GOPATH and only master checked out; followed by `make` and verified that all binaries build properly. Updates require github.com/LK4D4/vndr tool. Signed-off-by: Phil Estes <estesp@linux.vnet.ibm.com>
This commit is contained in:
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407 changed files with 113562 additions and 0 deletions
524
vendor/golang.org/x/net/trace/events.go
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vendored
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524
vendor/golang.org/x/net/trace/events.go
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vendored
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// Copyright 2015 The Go Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package trace
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import (
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"bytes"
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"fmt"
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"html/template"
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"io"
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"log"
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"net/http"
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"runtime"
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"sort"
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"strconv"
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"strings"
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"sync"
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"sync/atomic"
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"text/tabwriter"
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"time"
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)
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var eventsTmpl = template.Must(template.New("events").Funcs(template.FuncMap{
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"elapsed": elapsed,
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"trimSpace": strings.TrimSpace,
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}).Parse(eventsHTML))
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const maxEventsPerLog = 100
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type bucket struct {
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MaxErrAge time.Duration
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String string
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}
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var buckets = []bucket{
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{0, "total"},
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{10 * time.Second, "errs<10s"},
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{1 * time.Minute, "errs<1m"},
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{10 * time.Minute, "errs<10m"},
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{1 * time.Hour, "errs<1h"},
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{10 * time.Hour, "errs<10h"},
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{24000 * time.Hour, "errors"},
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}
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// RenderEvents renders the HTML page typically served at /debug/events.
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// It does not do any auth checking; see AuthRequest for the default auth check
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// used by the handler registered on http.DefaultServeMux.
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// req may be nil.
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func RenderEvents(w http.ResponseWriter, req *http.Request, sensitive bool) {
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now := time.Now()
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data := &struct {
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Families []string // family names
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Buckets []bucket
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Counts [][]int // eventLog count per family/bucket
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// Set when a bucket has been selected.
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Family string
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Bucket int
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EventLogs eventLogs
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Expanded bool
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}{
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Buckets: buckets,
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}
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data.Families = make([]string, 0, len(families))
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famMu.RLock()
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for name := range families {
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data.Families = append(data.Families, name)
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}
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famMu.RUnlock()
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sort.Strings(data.Families)
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// Count the number of eventLogs in each family for each error age.
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data.Counts = make([][]int, len(data.Families))
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for i, name := range data.Families {
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// TODO(sameer): move this loop under the family lock.
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f := getEventFamily(name)
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data.Counts[i] = make([]int, len(data.Buckets))
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for j, b := range data.Buckets {
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data.Counts[i][j] = f.Count(now, b.MaxErrAge)
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}
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}
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if req != nil {
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var ok bool
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data.Family, data.Bucket, ok = parseEventsArgs(req)
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if !ok {
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// No-op
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} else {
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data.EventLogs = getEventFamily(data.Family).Copy(now, buckets[data.Bucket].MaxErrAge)
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}
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if data.EventLogs != nil {
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defer data.EventLogs.Free()
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sort.Sort(data.EventLogs)
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}
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if exp, err := strconv.ParseBool(req.FormValue("exp")); err == nil {
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data.Expanded = exp
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}
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}
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famMu.RLock()
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defer famMu.RUnlock()
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if err := eventsTmpl.Execute(w, data); err != nil {
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log.Printf("net/trace: Failed executing template: %v", err)
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}
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}
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func parseEventsArgs(req *http.Request) (fam string, b int, ok bool) {
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fam, bStr := req.FormValue("fam"), req.FormValue("b")
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if fam == "" || bStr == "" {
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return "", 0, false
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}
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b, err := strconv.Atoi(bStr)
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if err != nil || b < 0 || b >= len(buckets) {
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return "", 0, false
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}
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return fam, b, true
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}
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// An EventLog provides a log of events associated with a specific object.
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type EventLog interface {
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// Printf formats its arguments with fmt.Sprintf and adds the
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// result to the event log.
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Printf(format string, a ...interface{})
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// Errorf is like Printf, but it marks this event as an error.
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Errorf(format string, a ...interface{})
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// Finish declares that this event log is complete.
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// The event log should not be used after calling this method.
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Finish()
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}
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// NewEventLog returns a new EventLog with the specified family name
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// and title.
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func NewEventLog(family, title string) EventLog {
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el := newEventLog()
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el.ref()
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el.Family, el.Title = family, title
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el.Start = time.Now()
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el.events = make([]logEntry, 0, maxEventsPerLog)
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el.stack = make([]uintptr, 32)
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n := runtime.Callers(2, el.stack)
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el.stack = el.stack[:n]
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getEventFamily(family).add(el)
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return el
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}
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func (el *eventLog) Finish() {
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getEventFamily(el.Family).remove(el)
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el.unref() // matches ref in New
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}
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var (
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famMu sync.RWMutex
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families = make(map[string]*eventFamily) // family name => family
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)
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func getEventFamily(fam string) *eventFamily {
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famMu.Lock()
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defer famMu.Unlock()
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f := families[fam]
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if f == nil {
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f = &eventFamily{}
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families[fam] = f
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}
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return f
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}
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type eventFamily struct {
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mu sync.RWMutex
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eventLogs eventLogs
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}
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func (f *eventFamily) add(el *eventLog) {
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f.mu.Lock()
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f.eventLogs = append(f.eventLogs, el)
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f.mu.Unlock()
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}
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func (f *eventFamily) remove(el *eventLog) {
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f.mu.Lock()
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defer f.mu.Unlock()
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for i, el0 := range f.eventLogs {
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if el == el0 {
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copy(f.eventLogs[i:], f.eventLogs[i+1:])
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f.eventLogs = f.eventLogs[:len(f.eventLogs)-1]
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return
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}
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}
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}
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func (f *eventFamily) Count(now time.Time, maxErrAge time.Duration) (n int) {
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f.mu.RLock()
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defer f.mu.RUnlock()
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for _, el := range f.eventLogs {
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if el.hasRecentError(now, maxErrAge) {
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n++
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}
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}
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return
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}
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func (f *eventFamily) Copy(now time.Time, maxErrAge time.Duration) (els eventLogs) {
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f.mu.RLock()
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defer f.mu.RUnlock()
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els = make(eventLogs, 0, len(f.eventLogs))
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for _, el := range f.eventLogs {
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if el.hasRecentError(now, maxErrAge) {
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el.ref()
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els = append(els, el)
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}
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}
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return
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}
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type eventLogs []*eventLog
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// Free calls unref on each element of the list.
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func (els eventLogs) Free() {
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for _, el := range els {
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el.unref()
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}
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}
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// eventLogs may be sorted in reverse chronological order.
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func (els eventLogs) Len() int { return len(els) }
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func (els eventLogs) Less(i, j int) bool { return els[i].Start.After(els[j].Start) }
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func (els eventLogs) Swap(i, j int) { els[i], els[j] = els[j], els[i] }
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// A logEntry is a timestamped log entry in an event log.
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type logEntry struct {
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When time.Time
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Elapsed time.Duration // since previous event in log
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NewDay bool // whether this event is on a different day to the previous event
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What string
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IsErr bool
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}
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// WhenString returns a string representation of the elapsed time of the event.
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// It will include the date if midnight was crossed.
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func (e logEntry) WhenString() string {
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if e.NewDay {
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return e.When.Format("2006/01/02 15:04:05.000000")
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}
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return e.When.Format("15:04:05.000000")
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}
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// An eventLog represents an active event log.
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type eventLog struct {
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// Family is the top-level grouping of event logs to which this belongs.
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Family string
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// Title is the title of this event log.
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Title string
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// Timing information.
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Start time.Time
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// Call stack where this event log was created.
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stack []uintptr
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// Append-only sequence of events.
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//
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// TODO(sameer): change this to a ring buffer to avoid the array copy
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// when we hit maxEventsPerLog.
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mu sync.RWMutex
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events []logEntry
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LastErrorTime time.Time
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discarded int
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refs int32 // how many buckets this is in
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}
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func (el *eventLog) reset() {
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// Clear all but the mutex. Mutexes may not be copied, even when unlocked.
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el.Family = ""
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el.Title = ""
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el.Start = time.Time{}
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el.stack = nil
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el.events = nil
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el.LastErrorTime = time.Time{}
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el.discarded = 0
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el.refs = 0
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}
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func (el *eventLog) hasRecentError(now time.Time, maxErrAge time.Duration) bool {
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if maxErrAge == 0 {
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return true
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}
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el.mu.RLock()
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defer el.mu.RUnlock()
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return now.Sub(el.LastErrorTime) < maxErrAge
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}
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// delta returns the elapsed time since the last event or the log start,
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// and whether it spans midnight.
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// L >= el.mu
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func (el *eventLog) delta(t time.Time) (time.Duration, bool) {
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if len(el.events) == 0 {
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return t.Sub(el.Start), false
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}
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prev := el.events[len(el.events)-1].When
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return t.Sub(prev), prev.Day() != t.Day()
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}
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func (el *eventLog) Printf(format string, a ...interface{}) {
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el.printf(false, format, a...)
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}
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func (el *eventLog) Errorf(format string, a ...interface{}) {
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el.printf(true, format, a...)
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}
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func (el *eventLog) printf(isErr bool, format string, a ...interface{}) {
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e := logEntry{When: time.Now(), IsErr: isErr, What: fmt.Sprintf(format, a...)}
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el.mu.Lock()
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e.Elapsed, e.NewDay = el.delta(e.When)
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if len(el.events) < maxEventsPerLog {
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el.events = append(el.events, e)
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} else {
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// Discard the oldest event.
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if el.discarded == 0 {
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// el.discarded starts at two to count for the event it
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// is replacing, plus the next one that we are about to
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// drop.
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el.discarded = 2
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} else {
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el.discarded++
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}
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// TODO(sameer): if this causes allocations on a critical path,
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// change eventLog.What to be a fmt.Stringer, as in trace.go.
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el.events[0].What = fmt.Sprintf("(%d events discarded)", el.discarded)
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// The timestamp of the discarded meta-event should be
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// the time of the last event it is representing.
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el.events[0].When = el.events[1].When
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copy(el.events[1:], el.events[2:])
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el.events[maxEventsPerLog-1] = e
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}
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if e.IsErr {
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el.LastErrorTime = e.When
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}
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el.mu.Unlock()
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}
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func (el *eventLog) ref() {
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atomic.AddInt32(&el.refs, 1)
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}
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func (el *eventLog) unref() {
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if atomic.AddInt32(&el.refs, -1) == 0 {
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freeEventLog(el)
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}
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}
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func (el *eventLog) When() string {
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return el.Start.Format("2006/01/02 15:04:05.000000")
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}
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func (el *eventLog) ElapsedTime() string {
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elapsed := time.Since(el.Start)
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return fmt.Sprintf("%.6f", elapsed.Seconds())
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}
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func (el *eventLog) Stack() string {
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buf := new(bytes.Buffer)
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tw := tabwriter.NewWriter(buf, 1, 8, 1, '\t', 0)
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printStackRecord(tw, el.stack)
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tw.Flush()
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return buf.String()
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}
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// printStackRecord prints the function + source line information
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// for a single stack trace.
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// Adapted from runtime/pprof/pprof.go.
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func printStackRecord(w io.Writer, stk []uintptr) {
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for _, pc := range stk {
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f := runtime.FuncForPC(pc)
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if f == nil {
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continue
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}
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file, line := f.FileLine(pc)
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name := f.Name()
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// Hide runtime.goexit and any runtime functions at the beginning.
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if strings.HasPrefix(name, "runtime.") {
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continue
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}
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fmt.Fprintf(w, "# %s\t%s:%d\n", name, file, line)
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}
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}
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func (el *eventLog) Events() []logEntry {
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el.mu.RLock()
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defer el.mu.RUnlock()
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return el.events
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}
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// freeEventLogs is a freelist of *eventLog
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var freeEventLogs = make(chan *eventLog, 1000)
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// newEventLog returns a event log ready to use.
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func newEventLog() *eventLog {
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select {
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case el := <-freeEventLogs:
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return el
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default:
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return new(eventLog)
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}
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}
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// freeEventLog adds el to freeEventLogs if there's room.
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// This is non-blocking.
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func freeEventLog(el *eventLog) {
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el.reset()
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select {
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case freeEventLogs <- el:
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default:
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}
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}
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const eventsHTML = `
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<html>
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<head>
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<title>events</title>
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</head>
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<style type="text/css">
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body {
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font-family: sans-serif;
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}
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table#req-status td.family {
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padding-right: 2em;
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}
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table#req-status td.active {
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padding-right: 1em;
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}
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table#req-status td.empty {
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color: #aaa;
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}
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table#reqs {
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margin-top: 1em;
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}
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table#reqs tr.first {
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{{if $.Expanded}}font-weight: bold;{{end}}
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}
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table#reqs td {
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font-family: monospace;
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}
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table#reqs td.when {
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text-align: right;
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white-space: nowrap;
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}
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table#reqs td.elapsed {
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padding: 0 0.5em;
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text-align: right;
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white-space: pre;
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width: 10em;
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}
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address {
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font-size: smaller;
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||||
margin-top: 5em;
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||||
}
|
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</style>
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<body>
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||||
|
||||
<h1>/debug/events</h1>
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<table id="req-status">
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||||
{{range $i, $fam := .Families}}
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<tr>
|
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<td class="family">{{$fam}}</td>
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|
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{{range $j, $bucket := $.Buckets}}
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{{$n := index $.Counts $i $j}}
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<td class="{{if not $bucket.MaxErrAge}}active{{end}}{{if not $n}}empty{{end}}">
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{{if $n}}<a href="?fam={{$fam}}&b={{$j}}{{if $.Expanded}}&exp=1{{end}}">{{end}}
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||||
[{{$n}} {{$bucket.String}}]
|
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{{if $n}}</a>{{end}}
|
||||
</td>
|
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{{end}}
|
||||
|
||||
</tr>{{end}}
|
||||
</table>
|
||||
|
||||
{{if $.EventLogs}}
|
||||
<hr />
|
||||
<h3>Family: {{$.Family}}</h3>
|
||||
|
||||
{{if $.Expanded}}<a href="?fam={{$.Family}}&b={{$.Bucket}}">{{end}}
|
||||
[Summary]{{if $.Expanded}}</a>{{end}}
|
||||
|
||||
{{if not $.Expanded}}<a href="?fam={{$.Family}}&b={{$.Bucket}}&exp=1">{{end}}
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||||
[Expanded]{{if not $.Expanded}}</a>{{end}}
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||||
|
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<table id="reqs">
|
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<tr><th>When</th><th>Elapsed</th></tr>
|
||||
{{range $el := $.EventLogs}}
|
||||
<tr class="first">
|
||||
<td class="when">{{$el.When}}</td>
|
||||
<td class="elapsed">{{$el.ElapsedTime}}</td>
|
||||
<td>{{$el.Title}}
|
||||
</tr>
|
||||
{{if $.Expanded}}
|
||||
<tr>
|
||||
<td class="when"></td>
|
||||
<td class="elapsed"></td>
|
||||
<td><pre>{{$el.Stack|trimSpace}}</pre></td>
|
||||
</tr>
|
||||
{{range $el.Events}}
|
||||
<tr>
|
||||
<td class="when">{{.WhenString}}</td>
|
||||
<td class="elapsed">{{elapsed .Elapsed}}</td>
|
||||
<td>.{{if .IsErr}}E{{else}}.{{end}}. {{.What}}</td>
|
||||
</tr>
|
||||
{{end}}
|
||||
{{end}}
|
||||
{{end}}
|
||||
</table>
|
||||
{{end}}
|
||||
</body>
|
||||
</html>
|
||||
`
|
356
vendor/golang.org/x/net/trace/histogram.go
generated
vendored
Normal file
356
vendor/golang.org/x/net/trace/histogram.go
generated
vendored
Normal file
|
@ -0,0 +1,356 @@
|
|||
// Copyright 2015 The Go Authors. All rights reserved.
|
||||
// Use of this source code is governed by a BSD-style
|
||||
// license that can be found in the LICENSE file.
|
||||
|
||||
package trace
|
||||
|
||||
// This file implements histogramming for RPC statistics collection.
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"fmt"
|
||||
"html/template"
|
||||
"log"
|
||||
"math"
|
||||
|
||||
"golang.org/x/net/internal/timeseries"
|
||||
)
|
||||
|
||||
const (
|
||||
bucketCount = 38
|
||||
)
|
||||
|
||||
// histogram keeps counts of values in buckets that are spaced
|
||||
// out in powers of 2: 0-1, 2-3, 4-7...
|
||||
// histogram implements timeseries.Observable
|
||||
type histogram struct {
|
||||
sum int64 // running total of measurements
|
||||
sumOfSquares float64 // square of running total
|
||||
buckets []int64 // bucketed values for histogram
|
||||
value int // holds a single value as an optimization
|
||||
valueCount int64 // number of values recorded for single value
|
||||
}
|
||||
|
||||
// AddMeasurement records a value measurement observation to the histogram.
|
||||
func (h *histogram) addMeasurement(value int64) {
|
||||
// TODO: assert invariant
|
||||
h.sum += value
|
||||
h.sumOfSquares += float64(value) * float64(value)
|
||||
|
||||
bucketIndex := getBucket(value)
|
||||
|
||||
if h.valueCount == 0 || (h.valueCount > 0 && h.value == bucketIndex) {
|
||||
h.value = bucketIndex
|
||||
h.valueCount++
|
||||
} else {
|
||||
h.allocateBuckets()
|
||||
h.buckets[bucketIndex]++
|
||||
}
|
||||
}
|
||||
|
||||
func (h *histogram) allocateBuckets() {
|
||||
if h.buckets == nil {
|
||||
h.buckets = make([]int64, bucketCount)
|
||||
h.buckets[h.value] = h.valueCount
|
||||
h.value = 0
|
||||
h.valueCount = -1
|
||||
}
|
||||
}
|
||||
|
||||
func log2(i int64) int {
|
||||
n := 0
|
||||
for ; i >= 0x100; i >>= 8 {
|
||||
n += 8
|
||||
}
|
||||
for ; i > 0; i >>= 1 {
|
||||
n += 1
|
||||
}
|
||||
return n
|
||||
}
|
||||
|
||||
func getBucket(i int64) (index int) {
|
||||
index = log2(i) - 1
|
||||
if index < 0 {
|
||||
index = 0
|
||||
}
|
||||
if index >= bucketCount {
|
||||
index = bucketCount - 1
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
// Total returns the number of recorded observations.
|
||||
func (h *histogram) total() (total int64) {
|
||||
if h.valueCount >= 0 {
|
||||
total = h.valueCount
|
||||
}
|
||||
for _, val := range h.buckets {
|
||||
total += int64(val)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
// Average returns the average value of recorded observations.
|
||||
func (h *histogram) average() float64 {
|
||||
t := h.total()
|
||||
if t == 0 {
|
||||
return 0
|
||||
}
|
||||
return float64(h.sum) / float64(t)
|
||||
}
|
||||
|
||||
// Variance returns the variance of recorded observations.
|
||||
func (h *histogram) variance() float64 {
|
||||
t := float64(h.total())
|
||||
if t == 0 {
|
||||
return 0
|
||||
}
|
||||
s := float64(h.sum) / t
|
||||
return h.sumOfSquares/t - s*s
|
||||
}
|
||||
|
||||
// StandardDeviation returns the standard deviation of recorded observations.
|
||||
func (h *histogram) standardDeviation() float64 {
|
||||
return math.Sqrt(h.variance())
|
||||
}
|
||||
|
||||
// PercentileBoundary estimates the value that the given fraction of recorded
|
||||
// observations are less than.
|
||||
func (h *histogram) percentileBoundary(percentile float64) int64 {
|
||||
total := h.total()
|
||||
|
||||
// Corner cases (make sure result is strictly less than Total())
|
||||
if total == 0 {
|
||||
return 0
|
||||
} else if total == 1 {
|
||||
return int64(h.average())
|
||||
}
|
||||
|
||||
percentOfTotal := round(float64(total) * percentile)
|
||||
var runningTotal int64
|
||||
|
||||
for i := range h.buckets {
|
||||
value := h.buckets[i]
|
||||
runningTotal += value
|
||||
if runningTotal == percentOfTotal {
|
||||
// We hit an exact bucket boundary. If the next bucket has data, it is a
|
||||
// good estimate of the value. If the bucket is empty, we interpolate the
|
||||
// midpoint between the next bucket's boundary and the next non-zero
|
||||
// bucket. If the remaining buckets are all empty, then we use the
|
||||
// boundary for the next bucket as the estimate.
|
||||
j := uint8(i + 1)
|
||||
min := bucketBoundary(j)
|
||||
if runningTotal < total {
|
||||
for h.buckets[j] == 0 {
|
||||
j++
|
||||
}
|
||||
}
|
||||
max := bucketBoundary(j)
|
||||
return min + round(float64(max-min)/2)
|
||||
} else if runningTotal > percentOfTotal {
|
||||
// The value is in this bucket. Interpolate the value.
|
||||
delta := runningTotal - percentOfTotal
|
||||
percentBucket := float64(value-delta) / float64(value)
|
||||
bucketMin := bucketBoundary(uint8(i))
|
||||
nextBucketMin := bucketBoundary(uint8(i + 1))
|
||||
bucketSize := nextBucketMin - bucketMin
|
||||
return bucketMin + round(percentBucket*float64(bucketSize))
|
||||
}
|
||||
}
|
||||
return bucketBoundary(bucketCount - 1)
|
||||
}
|
||||
|
||||
// Median returns the estimated median of the observed values.
|
||||
func (h *histogram) median() int64 {
|
||||
return h.percentileBoundary(0.5)
|
||||
}
|
||||
|
||||
// Add adds other to h.
|
||||
func (h *histogram) Add(other timeseries.Observable) {
|
||||
o := other.(*histogram)
|
||||
if o.valueCount == 0 {
|
||||
// Other histogram is empty
|
||||
} else if h.valueCount >= 0 && o.valueCount > 0 && h.value == o.value {
|
||||
// Both have a single bucketed value, aggregate them
|
||||
h.valueCount += o.valueCount
|
||||
} else {
|
||||
// Two different values necessitate buckets in this histogram
|
||||
h.allocateBuckets()
|
||||
if o.valueCount >= 0 {
|
||||
h.buckets[o.value] += o.valueCount
|
||||
} else {
|
||||
for i := range h.buckets {
|
||||
h.buckets[i] += o.buckets[i]
|
||||
}
|
||||
}
|
||||
}
|
||||
h.sumOfSquares += o.sumOfSquares
|
||||
h.sum += o.sum
|
||||
}
|
||||
|
||||
// Clear resets the histogram to an empty state, removing all observed values.
|
||||
func (h *histogram) Clear() {
|
||||
h.buckets = nil
|
||||
h.value = 0
|
||||
h.valueCount = 0
|
||||
h.sum = 0
|
||||
h.sumOfSquares = 0
|
||||
}
|
||||
|
||||
// CopyFrom copies from other, which must be a *histogram, into h.
|
||||
func (h *histogram) CopyFrom(other timeseries.Observable) {
|
||||
o := other.(*histogram)
|
||||
if o.valueCount == -1 {
|
||||
h.allocateBuckets()
|
||||
copy(h.buckets, o.buckets)
|
||||
}
|
||||
h.sum = o.sum
|
||||
h.sumOfSquares = o.sumOfSquares
|
||||
h.value = o.value
|
||||
h.valueCount = o.valueCount
|
||||
}
|
||||
|
||||
// Multiply scales the histogram by the specified ratio.
|
||||
func (h *histogram) Multiply(ratio float64) {
|
||||
if h.valueCount == -1 {
|
||||
for i := range h.buckets {
|
||||
h.buckets[i] = int64(float64(h.buckets[i]) * ratio)
|
||||
}
|
||||
} else {
|
||||
h.valueCount = int64(float64(h.valueCount) * ratio)
|
||||
}
|
||||
h.sum = int64(float64(h.sum) * ratio)
|
||||
h.sumOfSquares = h.sumOfSquares * ratio
|
||||
}
|
||||
|
||||
// New creates a new histogram.
|
||||
func (h *histogram) New() timeseries.Observable {
|
||||
r := new(histogram)
|
||||
r.Clear()
|
||||
return r
|
||||
}
|
||||
|
||||
func (h *histogram) String() string {
|
||||
return fmt.Sprintf("%d, %f, %d, %d, %v",
|
||||
h.sum, h.sumOfSquares, h.value, h.valueCount, h.buckets)
|
||||
}
|
||||
|
||||
// round returns the closest int64 to the argument
|
||||
func round(in float64) int64 {
|
||||
return int64(math.Floor(in + 0.5))
|
||||
}
|
||||
|
||||
// bucketBoundary returns the first value in the bucket.
|
||||
func bucketBoundary(bucket uint8) int64 {
|
||||
if bucket == 0 {
|
||||
return 0
|
||||
}
|
||||
return 1 << bucket
|
||||
}
|
||||
|
||||
// bucketData holds data about a specific bucket for use in distTmpl.
|
||||
type bucketData struct {
|
||||
Lower, Upper int64
|
||||
N int64
|
||||
Pct, CumulativePct float64
|
||||
GraphWidth int
|
||||
}
|
||||
|
||||
// data holds data about a Distribution for use in distTmpl.
|
||||
type data struct {
|
||||
Buckets []*bucketData
|
||||
Count, Median int64
|
||||
Mean, StandardDeviation float64
|
||||
}
|
||||
|
||||
// maxHTMLBarWidth is the maximum width of the HTML bar for visualizing buckets.
|
||||
const maxHTMLBarWidth = 350.0
|
||||
|
||||
// newData returns data representing h for use in distTmpl.
|
||||
func (h *histogram) newData() *data {
|
||||
// Force the allocation of buckets to simplify the rendering implementation
|
||||
h.allocateBuckets()
|
||||
// We scale the bars on the right so that the largest bar is
|
||||
// maxHTMLBarWidth pixels in width.
|
||||
maxBucket := int64(0)
|
||||
for _, n := range h.buckets {
|
||||
if n > maxBucket {
|
||||
maxBucket = n
|
||||
}
|
||||
}
|
||||
total := h.total()
|
||||
barsizeMult := maxHTMLBarWidth / float64(maxBucket)
|
||||
var pctMult float64
|
||||
if total == 0 {
|
||||
pctMult = 1.0
|
||||
} else {
|
||||
pctMult = 100.0 / float64(total)
|
||||
}
|
||||
|
||||
buckets := make([]*bucketData, len(h.buckets))
|
||||
runningTotal := int64(0)
|
||||
for i, n := range h.buckets {
|
||||
if n == 0 {
|
||||
continue
|
||||
}
|
||||
runningTotal += n
|
||||
var upperBound int64
|
||||
if i < bucketCount-1 {
|
||||
upperBound = bucketBoundary(uint8(i + 1))
|
||||
} else {
|
||||
upperBound = math.MaxInt64
|
||||
}
|
||||
buckets[i] = &bucketData{
|
||||
Lower: bucketBoundary(uint8(i)),
|
||||
Upper: upperBound,
|
||||
N: n,
|
||||
Pct: float64(n) * pctMult,
|
||||
CumulativePct: float64(runningTotal) * pctMult,
|
||||
GraphWidth: int(float64(n) * barsizeMult),
|
||||
}
|
||||
}
|
||||
return &data{
|
||||
Buckets: buckets,
|
||||
Count: total,
|
||||
Median: h.median(),
|
||||
Mean: h.average(),
|
||||
StandardDeviation: h.standardDeviation(),
|
||||
}
|
||||
}
|
||||
|
||||
func (h *histogram) html() template.HTML {
|
||||
buf := new(bytes.Buffer)
|
||||
if err := distTmpl.Execute(buf, h.newData()); err != nil {
|
||||
buf.Reset()
|
||||
log.Printf("net/trace: couldn't execute template: %v", err)
|
||||
}
|
||||
return template.HTML(buf.String())
|
||||
}
|
||||
|
||||
// Input: data
|
||||
var distTmpl = template.Must(template.New("distTmpl").Parse(`
|
||||
<table>
|
||||
<tr>
|
||||
<td style="padding:0.25em">Count: {{.Count}}</td>
|
||||
<td style="padding:0.25em">Mean: {{printf "%.0f" .Mean}}</td>
|
||||
<td style="padding:0.25em">StdDev: {{printf "%.0f" .StandardDeviation}}</td>
|
||||
<td style="padding:0.25em">Median: {{.Median}}</td>
|
||||
</tr>
|
||||
</table>
|
||||
<hr>
|
||||
<table>
|
||||
{{range $b := .Buckets}}
|
||||
{{if $b}}
|
||||
<tr>
|
||||
<td style="padding:0 0 0 0.25em">[</td>
|
||||
<td style="text-align:right;padding:0 0.25em">{{.Lower}},</td>
|
||||
<td style="text-align:right;padding:0 0.25em">{{.Upper}})</td>
|
||||
<td style="text-align:right;padding:0 0.25em">{{.N}}</td>
|
||||
<td style="text-align:right;padding:0 0.25em">{{printf "%#.3f" .Pct}}%</td>
|
||||
<td style="text-align:right;padding:0 0.25em">{{printf "%#.3f" .CumulativePct}}%</td>
|
||||
<td><div style="background-color: blue; height: 1em; width: {{.GraphWidth}};"></div></td>
|
||||
</tr>
|
||||
{{end}}
|
||||
{{end}}
|
||||
</table>
|
||||
`))
|
1071
vendor/golang.org/x/net/trace/trace.go
generated
vendored
Normal file
1071
vendor/golang.org/x/net/trace/trace.go
generated
vendored
Normal file
File diff suppressed because it is too large
Load diff
Loading…
Add table
Add a link
Reference in a new issue