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sparse.go
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// Copyright (c) 2018, RetailNext, Inc.
// All rights reserved.
package hllpp
import (
"encoding/binary"
"sort"
)
type sparseReader struct {
data []byte
idx int
lastVal uint32
lastN int
}
func newSparseReader(data []byte) *sparseReader {
return &sparseReader{data: data}
}
func (iter *sparseReader) Advance() {
iter.idx += iter.lastN
iter.lastN = 0
}
func (iter *sparseReader) Peek() uint32 {
if iter.lastN > 0 {
return iter.lastVal
}
v, n := binary.Uvarint(iter.data[iter.idx:])
v32 := uint32(v)
v32 += iter.lastVal
iter.lastN = n
iter.lastVal = v32
return v32
}
func (iter *sparseReader) Next() uint32 {
v := iter.Peek()
iter.Advance()
return v
}
func (iter *sparseReader) Done() bool {
return iter.idx >= len(iter.data)
}
type sparseWriter struct {
data []byte
lastVal uint32
hasCurrVal bool
currVal uint32
currIdx uint32
currRho uint8
varIntBuf [binary.MaxVarintLen32]byte
length uint32
}
// This takes the index and rho well so it can easily discard duplicate indexes
// and pick the biggest rho among the duplicates since tmpSet is sorted by index
// but not by rho.
func (writer *sparseWriter) Append(k, idx uint32, rho uint8) {
if writer.hasCurrVal {
if idx == writer.currIdx {
if rho > writer.currRho {
writer.currRho = rho
writer.currVal = k
}
return
} else {
writer.commit()
}
}
writer.hasCurrVal = true
writer.currVal = k
writer.currIdx = idx
writer.currRho = rho
}
func (writer *sparseWriter) commit() {
n := binary.PutUvarint(writer.varIntBuf[:], uint64(writer.currVal-writer.lastVal))
writer.data = append(writer.data, writer.varIntBuf[:n]...)
writer.lastVal = writer.currVal
writer.length++
writer.hasCurrVal = false
}
func (writer *sparseWriter) Bytes() []byte {
if writer.hasCurrVal {
writer.commit()
}
return writer.data
}
func (writer *sparseWriter) Len() uint32 {
if writer.hasCurrVal {
writer.commit()
}
return writer.length
}
func newSparseWriter() *sparseWriter {
return &sparseWriter{}
}
func (h *HLLPP) flushTmpSet() {
if len(h.tmpSet) == 0 {
return
}
sort.Slice(h.tmpSet, func(i, j int) bool {
iIdx, _ := h.decodeHash(h.tmpSet[i], h.pp)
jIdx, _ := h.decodeHash(h.tmpSet[j], h.pp)
return iIdx < jIdx
})
h.mergeSparse(h.tmpSet)
h.tmpSet = nil
}
func (h *HLLPP) mergeSparse(tmpSet []uint32) {
iter := newSparseReader(h.data)
writer := newSparseWriter()
var tmpI int
// deduping by index and choosing biggest rho is handled in the writer
for !iter.Done() || tmpI < len(tmpSet) {
if iter.Done() {
idx, rho := h.decodeHash(tmpSet[tmpI], h.pp)
writer.Append(tmpSet[tmpI], idx, rho)
tmpI++
continue
}
sparseVal := iter.Peek()
sparseIdx, sparseR := h.decodeHash(sparseVal, h.pp)
if tmpI == len(tmpSet) {
writer.Append(sparseVal, sparseIdx, sparseR)
iter.Advance()
continue
}
tmpVal := tmpSet[tmpI]
tmpIdx, tmpR := h.decodeHash(tmpVal, h.pp)
if sparseIdx < tmpIdx {
writer.Append(sparseVal, sparseIdx, sparseR)
iter.Advance()
} else if sparseIdx > tmpIdx {
writer.Append(tmpVal, tmpIdx, tmpR)
tmpI++
} else {
if sparseR > tmpR {
writer.Append(sparseVal, sparseIdx, sparseR)
} else {
writer.Append(tmpVal, tmpIdx, tmpR)
}
iter.Advance()
tmpI++
}
}
h.data = writer.Bytes()
h.sparseLength = writer.Len()
// is sparse data bigger than dense data would be?
if uint32(len(h.data))*8 >= 6*h.m {
h.toNormal()
}
}
func (h *HLLPP) encodeHash(x uint64) uint32 {
if sliceBits64(x, 63-h.p, 64-h.pp) == 0 {
r := rho((sliceBits64(x, 63-h.pp, 0) << h.pp) | (1<<h.pp - 1))
return uint32(sliceBits64(x, 63, 64-h.pp)<<7 | uint64(r<<1) | 1)
}
return uint32(sliceBits64(x, 63, 64-h.pp) << 1)
}
// Return index with respect to "p" arg, and rho with respect to h.p. This is so
// the h.pp index can be recovered easily when flushing the tmpSet.
func (h *HLLPP) decodeHash(k uint32, p uint8) (_ uint32, r uint8) {
if k&1 > 0 {
r = uint8(sliceBits32(k, 6, 1)) + (h.pp - h.p)
} else {
r = rho((uint64(k) | 1) << (64 - (h.pp + 1) + h.p))
}
return h.getIndex(k, p), r
}
// Return index with respect to precision "p".
func (h *HLLPP) getIndex(k uint32, p uint8) uint32 {
if k&1 > 0 {
return sliceBits32(k, 6+h.pp, 1+6+h.pp-p)
} else {
return sliceBits32(k, h.pp, 1+h.pp-p)
}
}