Like Prometheus, but for logs.
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loki/vendor/github.com/axiomhq/hyperloglog/sparse.go

92 lines
1.9 KiB

package hyperloglog
import (
"math/bits"
)
func getIndex(k uint32, p, pp uint8) uint32 {
if k&1 == 1 {
return bextr32(k, 32-p, p)
}
return bextr32(k, pp-p+1, p)
}
// Encode a hash to be used in the sparse representation.
func encodeHash(x uint64, p, pp uint8) uint32 {
idx := uint32(bextr(x, 64-pp, pp))
if bextr(x, 64-pp, pp-p) == 0 {
zeros := bits.LeadingZeros64((bextr(x, 0, 64-pp)<<pp)|(1<<pp-1)) + 1
return idx<<7 | uint32(zeros<<1) | 1
}
return idx << 1
}
// Decode a hash from the sparse representation.
func decodeHash(k uint32, p, pp uint8) (uint32, uint8) {
var r uint8
if k&1 == 1 {
r = uint8(bextr32(k, 1, 6)) + pp - p
} else {
// We can use the 64bit clz implementation and reduce the result
// by 32 to get a clz for a 32bit word.
r = uint8(bits.LeadingZeros64(uint64(k<<(32-pp+p-1))) - 31) // -32 + 1
}
return getIndex(k, p, pp), r
}
type set map[uint32]struct{}
func (s set) add(v uint32) bool {
_, ok := s[v]
if ok {
return false
}
s[v] = struct{}{}
return true
}
func (s set) Clone() set {
if s == nil {
return nil
}
newS := make(map[uint32]struct{}, len(s))
for k, v := range s {
newS[k] = v
}
return newS
}
func (s set) MarshalBinary() (data []byte, err error) {
// 4 bytes for the size of the set, and 4 bytes for each key.
// list.
data = make([]byte, 0, 4+(4*len(s)))
// Length of the set. We only need 32 bits because the size of the set
// couldn't exceed that on 32 bit architectures.
sl := len(s)
data = append(data, []byte{
byte(sl >> 24),
byte(sl >> 16),
byte(sl >> 8),
byte(sl),
}...)
// Marshal each element in the set.
for k := range s {
data = append(data, []byte{
byte(k >> 24),
byte(k >> 16),
byte(k >> 8),
byte(k),
}...)
}
return data, nil
}
type uint64Slice []uint32
func (p uint64Slice) Len() int { return len(p) }
func (p uint64Slice) Less(i, j int) bool { return p[i] < p[j] }
func (p uint64Slice) Swap(i, j int) { p[i], p[j] = p[j], p[i] }