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hyperloglogplus.go
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hyperloglogplus.go
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package hyperloglog
import (
"bytes"
"encoding/gob"
"errors"
"sort"
)
const pPrime = 25
const mPrime = 1 << (pPrime - 1)
var threshold = []uint{
10, 20, 40, 80, 220, 400, 900, 1800, 3100,
6500, 11500, 20000, 50000, 120000, 350000,
}
type HyperLogLogPlus struct {
reg []uint8
p uint8
m uint32
sparse bool
tmpSet set
sparseList *compressedList
}
// Encode a hash to be used in the sparse representation.
func (h *HyperLogLogPlus) encodeHash(x uint64) uint32 {
idx := uint32(eb64(x, 64, 64-pPrime))
if eb64(x, 64-h.p, 64-pPrime) == 0 {
zeros := clz64((eb64(x, 64-pPrime, 0)<<pPrime)|(1<<pPrime-1)) + 1
return idx<<7 | uint32(zeros<<1) | 1
}
return idx << 1
}
// Get the index of precision p from the sparse representation.
func (h *HyperLogLogPlus) getIndex(k uint32) uint32 {
if k&1 == 1 {
return eb32(k, 32, 32-h.p)
}
return eb32(k, pPrime+1, pPrime-h.p+1)
}
// Decode a hash from the sparse representation.
func (h *HyperLogLogPlus) decodeHash(k uint32) (uint32, uint8) {
var r uint8
if k&1 == 1 {
r = uint8(eb32(k, 7, 1)) + pPrime - h.p
} else {
r = clz32(k<<(32-pPrime+h.p-1)) + 1
}
return h.getIndex(k), r
}
// Merge tmpSet and sparseList in the sparse representation.
func (h *HyperLogLogPlus) mergeSparse() {
keys := make(sortableSlice, 0, len(h.tmpSet))
for k := range h.tmpSet {
keys = append(keys, k)
}
sort.Sort(keys)
newList := newCompressedList(int(h.m))
for iter, i := h.sparseList.Iter(), 0; iter.HasNext() || i < len(keys); {
if !iter.HasNext() {
newList.Append(keys[i])
i++
continue
}
if i >= len(keys) {
newList.Append(iter.Next())
continue
}
x1, x2 := iter.Peek(), keys[i]
if x1 == x2 {
newList.Append(iter.Next())
i++
} else if x1 > x2 {
newList.Append(x2)
i++
} else {
newList.Append(iter.Next())
}
}
h.sparseList = newList
h.tmpSet = set{}
}
// NewPlus returns a new initialized HyperLogLogPlus that uses the HyperLogLog++
// algorithm.
func NewPlus(precision uint8) (*HyperLogLogPlus, error) {
if precision > 18 || precision < 4 {
return nil, errors.New("precision must be between 4 and 18")
}
h := &HyperLogLogPlus{}
h.p = precision
h.m = 1 << precision
h.sparse = true
h.tmpSet = set{}
h.sparseList = newCompressedList(int(h.m))
return h, nil
}
// Clear sets HyperLogLogPlus h back to its initial state.
func (h *HyperLogLogPlus) Clear() {
h.sparse = true
h.tmpSet = set{}
h.sparseList = newCompressedList(int(h.m))
h.reg = nil
}
// Converts HyperLogLogPlus h to the normal representation from the sparse
// representation.
func (h *HyperLogLogPlus) toNormal() {
if len(h.tmpSet) > 0 {
h.mergeSparse()
}
h.reg = make([]uint8, h.m)
for iter := h.sparseList.Iter(); iter.HasNext(); {
i, r := h.decodeHash(iter.Next())
if h.reg[i] < r {
h.reg[i] = r
}
}
h.sparse = false
h.tmpSet = nil
h.sparseList = nil
}
// Add adds a new item to HyperLogLogPlus h.
func (h *HyperLogLogPlus) Add(item Hash64) {
x := item.Sum64()
if h.sparse {
h.tmpSet.Add(h.encodeHash(x))
h.maybeToNormal()
} else {
i := eb64(x, 64, 64-h.p) // {x63,...,x64-p}
w := x<<h.p | 1<<(h.p-1) // {x63-p,...,x0}
zeroBits := clz64(w) + 1
if zeroBits > h.reg[i] {
h.reg[i] = zeroBits
}
}
}
// Merge takes another HyperLogLogPlus and combines it with HyperLogLogPlus h.
func (h *HyperLogLogPlus) Merge(other *HyperLogLogPlus) error {
if h.p != other.p {
return errors.New("precisions must be equal")
}
if h.sparse && other.sparse {
for k := range other.tmpSet {
h.tmpSet.Add(k)
}
for iter := other.sparseList.Iter(); iter.HasNext(); {
h.tmpSet.Add(iter.Next())
}
h.maybeToNormal()
return nil
}
if h.sparse {
h.toNormal()
}
if other.sparse {
for k := range other.tmpSet {
i, r := other.decodeHash(k)
if r > h.reg[i] {
h.reg[i] = r
}
}
for iter := other.sparseList.Iter(); iter.HasNext(); {
i, r := other.decodeHash(iter.Next())
if r > h.reg[i] {
h.reg[i] = r
}
}
} else {
for i, v := range other.reg {
if v > h.reg[i] {
h.reg[i] = v
}
}
}
return nil
}
// Converts to normal if the sparse list is too large.
func (h *HyperLogLogPlus) maybeToNormal() {
if uint32(len(h.tmpSet))*100 > h.m {
h.mergeSparse()
if uint32(h.sparseList.Len()) > h.m {
h.toNormal()
}
}
}
// Estimates the bias using empirically determined values.
func (h *HyperLogLogPlus) estimateBias(est float64) float64 {
estTable, biasTable := rawEstimateData[h.p-4], biasData[h.p-4]
if estTable[0] > est {
return biasTable[0]
}
lastEstimate := estTable[len(estTable)-1]
if lastEstimate < est {
return biasTable[len(biasTable)-1]
}
var i int
for i = 0; i < len(estTable) && estTable[i] < est; i++ {
}
e1, b1 := estTable[i-1], biasTable[i-1]
e2, b2 := estTable[i], biasTable[i]
c := (est - e1) / (e2 - e1)
return b1*(1-c) + b2*c
}
// Count returns the cardinality estimate.
func (h *HyperLogLogPlus) Count() uint64 {
if h.sparse {
h.mergeSparse()
return uint64(linearCounting(mPrime, mPrime-uint32(h.sparseList.Count)))
}
est := calculateEstimate(h.reg)
if est <= float64(h.m)*5.0 {
est -= h.estimateBias(est)
}
if v := countZeros(h.reg); v != 0 {
lc := linearCounting(h.m, v)
if lc <= float64(threshold[h.p-4]) {
return uint64(lc)
}
}
return uint64(est)
}
// Encode HyperLogLogPlus into a gob
func (h *HyperLogLogPlus) GobEncode() ([]byte, error) {
buf := bytes.Buffer{}
enc := gob.NewEncoder(&buf)
if err := enc.Encode(h.reg); err != nil {
return nil, err
}
if err := enc.Encode(h.m); err != nil {
return nil, err
}
if err := enc.Encode(h.p); err != nil {
return nil, err
}
if err := enc.Encode(h.sparse); err != nil {
return nil, err
}
if h.sparse {
if err := enc.Encode(h.tmpSet); err != nil {
return nil, err
}
if err := enc.Encode(h.sparseList.Count); err != nil {
return nil, err
}
if err := enc.Encode(h.sparseList.b); err != nil {
return nil, err
}
if err := enc.Encode(h.sparseList.last); err != nil {
return nil, err
}
}
return buf.Bytes(), nil
}
// Decode gob into a HyperLogLogPlus structure
func (h *HyperLogLogPlus) GobDecode(b []byte) error {
dec := gob.NewDecoder(bytes.NewBuffer(b))
if err := dec.Decode(&h.reg); err != nil {
return err
}
if err := dec.Decode(&h.m); err != nil {
return err
}
if err := dec.Decode(&h.p); err != nil {
return err
}
if err := dec.Decode(&h.sparse); err != nil {
return err
}
if h.sparse {
if err := dec.Decode(&h.tmpSet); err != nil {
return err
}
h.sparseList = newCompressedList(int(h.m))
if err := dec.Decode(&h.sparseList.Count); err != nil {
return err
}
if err := dec.Decode(&h.sparseList.b); err != nil {
return err
}
if err := dec.Decode(&h.sparseList.last); err != nil {
return err
}
}
return nil
}