blob: 5ac3d9904ff3683babf8c08ab5e939fc9c7fc44b [file] [log] [blame]
package topk
import (
"sort"
)
// http://www.cs.ucsb.edu/research/tech_reports/reports/2005-23.pdf
type Element struct {
Value string
Count int
}
type Samples []*Element
func (sm Samples) Len() int {
return len(sm)
}
func (sm Samples) Less(i, j int) bool {
return sm[i].Count < sm[j].Count
}
func (sm Samples) Swap(i, j int) {
sm[i], sm[j] = sm[j], sm[i]
}
type Stream struct {
k int
mon map[string]*Element
// the minimum Element
min *Element
}
func New(k int) *Stream {
s := new(Stream)
s.k = k
s.mon = make(map[string]*Element)
s.min = &Element{}
// Track k+1 so that less frequenet items contended for that spot,
// resulting in k being more accurate.
return s
}
func (s *Stream) Insert(x string) {
s.insert(&Element{x, 1})
}
func (s *Stream) Merge(sm Samples) {
for _, e := range sm {
s.insert(e)
}
}
func (s *Stream) insert(in *Element) {
e := s.mon[in.Value]
if e != nil {
e.Count++
} else {
if len(s.mon) < s.k+1 {
e = &Element{in.Value, in.Count}
s.mon[in.Value] = e
} else {
e = s.min
delete(s.mon, e.Value)
e.Value = in.Value
e.Count += in.Count
s.min = e
}
}
if e.Count < s.min.Count {
s.min = e
}
}
func (s *Stream) Query() Samples {
var sm Samples
for _, e := range s.mon {
sm = append(sm, e)
}
sort.Sort(sort.Reverse(sm))
if len(sm) < s.k {
return sm
}
return sm[:s.k]
}