Add redis support for distributed caching (#83)

* Add redis support for distributed caching

* Move towards the self-provided Redis connection pool and RESP protocol implementation.
Official redis client library won't work with yaegi.

* fixup! Move towards the self-provided Redis connection pool and RESP protocol implementation. Official redis client library won't work with yaegi.

* fixup! fixup! Move towards the self-provided Redis connection pool and RESP protocol implementation. Official redis client library won't work with yaegi.

* fixup! fixup! fixup! Move towards the self-provided Redis connection pool and RESP protocol implementation. Official redis client library won't work with yaegi.

* fixup! fixup! fixup! fixup! Move towards the self-provided Redis connection pool and RESP protocol implementation. Official redis client library won't work with yaegi.

* fixup! fixup! fixup! fixup! fixup! Move towards the self-provided Redis connection pool and RESP protocol implementation. Official redis client library won't work with yaegi.

* ... and another all nighter.

* fixup! ... and another all nighter.

* fixup! fixup! ... and another all nighter.

* fixup! fixup! fixup! ... and another all nighter.

* Resolve issue #85 by adding ability to set custom claims in JWT tokens

* Remove redundant validation in auth middleware ( issue #89 )

* Add ability to set cookie prefix for session cookies ( #87 )

* fixup! Add ability to set cookie prefix for session cookies ( #87 )

* Add ability to set cookie max age - issue #91

* Potential fix for code scanning alert no. 10: Size computation for allocation may overflow

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* fixup! Merge main into 0.8.0-redis: resolve conflicts

---------

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
This commit is contained in:
2025-11-30 02:18:46 +00:00
committed by GitHub
co-authored by Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
parent 5fcbd54955
commit e64fc7f730
318 changed files with 100989 additions and 948 deletions
+21
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MIT License
Copyright (c) 2017 Axiom Inc. <[email protected]>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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This is a copy of github.com/axiomhq/hyperloglog.
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package hyperloglog
import "encoding/binary"
// Original author of this file is github.com/clarkduvall/hyperloglog
type iterable interface {
decode(i int, last uint32) (uint32, int)
Len() int
Iter() *iterator
}
type iterator struct {
i int
last uint32
v iterable
}
func (iter *iterator) Next() uint32 {
n, i := iter.v.decode(iter.i, iter.last)
iter.last = n
iter.i = i
return n
}
func (iter *iterator) Peek() uint32 {
n, _ := iter.v.decode(iter.i, iter.last)
return n
}
func (iter iterator) HasNext() bool {
return iter.i < iter.v.Len()
}
type compressedList struct {
count uint32
last uint32
b variableLengthList
}
func (v *compressedList) Clone() *compressedList {
if v == nil {
return nil
}
newV := &compressedList{
count: v.count,
last: v.last,
}
newV.b = make(variableLengthList, len(v.b))
copy(newV.b, v.b)
return newV
}
func (v *compressedList) MarshalBinary() (data []byte, err error) {
// Marshal the variableLengthList
bdata, err := v.b.MarshalBinary()
if err != nil {
return nil, err
}
// At least 4 bytes for the two fixed sized values plus the size of bdata.
data = make([]byte, 0, 4+4+len(bdata))
// Marshal the count and last values.
data = append(data, []byte{
// Number of items in the list.
byte(v.count >> 24),
byte(v.count >> 16),
byte(v.count >> 8),
byte(v.count),
// The last item in the list.
byte(v.last >> 24),
byte(v.last >> 16),
byte(v.last >> 8),
byte(v.last),
}...)
// Append the list
return append(data, bdata...), nil
}
func (v *compressedList) UnmarshalBinary(data []byte) error {
if len(data) < 12 {
return ErrorTooShort
}
// Set the count.
v.count, data = binary.BigEndian.Uint32(data[:4]), data[4:]
// Set the last value.
v.last, data = binary.BigEndian.Uint32(data[:4]), data[4:]
// Set the list.
sz, data := binary.BigEndian.Uint32(data[:4]), data[4:]
v.b = make([]uint8, sz)
if uint32(len(data)) < sz {
return ErrorTooShort
}
for i := uint32(0); i < sz; i++ {
v.b[i] = data[i]
}
return nil
}
func newCompressedList() *compressedList {
v := &compressedList{}
v.b = make(variableLengthList, 0)
return v
}
func (v *compressedList) Len() int {
return len(v.b)
}
func (v *compressedList) decode(i int, last uint32) (uint32, int) {
n, i := v.b.decode(i, last)
return n + last, i
}
func (v *compressedList) Append(x uint32) {
v.count++
v.b = v.b.Append(x - v.last)
v.last = x
}
func (v *compressedList) Iter() *iterator {
return &iterator{0, 0, v}
}
type variableLengthList []uint8
func (v variableLengthList) MarshalBinary() (data []byte, err error) {
// 4 bytes for the size of the list, and a byte for each element in the
// list.
data = make([]byte, 0, 4+v.Len())
// Length of the list. We only need 32 bits because the size of the set
// couldn't exceed that on 32 bit architectures.
sz := v.Len()
data = append(data, []byte{
byte(sz >> 24),
byte(sz >> 16),
byte(sz >> 8),
byte(sz),
}...)
// Marshal each element in the list.
for i := 0; i < sz; i++ {
data = append(data, v[i])
}
return data, nil
}
func (v variableLengthList) Len() int {
return len(v)
}
func (v *variableLengthList) Iter() *iterator {
return &iterator{0, 0, v}
}
func (v variableLengthList) decode(i int, last uint32) (uint32, int) {
var x uint32
j := i
for ; v[j]&0x80 != 0; j++ {
x |= uint32(v[j]&0x7f) << (uint(j-i) * 7)
}
x |= uint32(v[j]) << (uint(j-i) * 7)
return x, j + 1
}
func (v variableLengthList) Append(x uint32) variableLengthList {
for x&0xffffff80 != 0 {
v = append(v, uint8((x&0x7f)|0x80))
x >>= 7
}
return append(v, uint8(x&0x7f))
}
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package hyperloglog
import (
"encoding/binary"
"errors"
"fmt"
"math"
"sort"
)
const (
capacity = uint8(16)
pp = uint8(25)
mp = uint32(1) << pp
version = 1
)
// Sketch is a HyperLogLog data-structure for the count-distinct problem,
// approximating the number of distinct elements in a multiset.
type Sketch struct {
p uint8
b uint8
m uint32
alpha float64
tmpSet set
sparseList *compressedList
regs *registers
}
// New returns a HyperLogLog Sketch with 2^14 registers (precision 14)
func New() *Sketch {
return New14()
}
// New14 returns a HyperLogLog Sketch with 2^14 registers (precision 14)
func New14() *Sketch {
sk, _ := newSketch(14, true)
return sk
}
// New16 returns a HyperLogLog Sketch with 2^16 registers (precision 16)
func New16() *Sketch {
sk, _ := newSketch(16, true)
return sk
}
// NewNoSparse returns a HyperLogLog Sketch with 2^14 registers (precision 14)
// that will not use a sparse representation
func NewNoSparse() *Sketch {
sk, _ := newSketch(14, false)
return sk
}
// New16NoSparse returns a HyperLogLog Sketch with 2^16 registers (precision 16)
// that will not use a sparse representation
func New16NoSparse() *Sketch {
sk, _ := newSketch(16, false)
return sk
}
// newSketch returns a HyperLogLog Sketch with 2^precision registers
func newSketch(precision uint8, sparse bool) (*Sketch, error) {
if precision < 4 || precision > 18 {
return nil, fmt.Errorf("p has to be >= 4 and <= 18")
}
m := uint32(math.Pow(2, float64(precision)))
s := &Sketch{
m: m,
p: precision,
alpha: alpha(float64(m)),
}
if sparse {
s.tmpSet = set{}
s.sparseList = newCompressedList()
} else {
s.regs = newRegisters(m)
}
return s, nil
}
func (sk *Sketch) sparse() bool {
return sk.sparseList != nil
}
// Clone returns a deep copy of sk.
func (sk *Sketch) Clone() *Sketch {
return &Sketch{
b: sk.b,
p: sk.p,
m: sk.m,
alpha: sk.alpha,
tmpSet: sk.tmpSet.Clone(),
sparseList: sk.sparseList.Clone(),
regs: sk.regs.clone(),
}
}
// Converts to normal if the sparse list is too large.
func (sk *Sketch) maybeToNormal() {
if uint32(len(sk.tmpSet))*100 > sk.m {
sk.mergeSparse()
if uint32(sk.sparseList.Len()) > sk.m {
sk.toNormal()
}
}
}
// Merge takes another Sketch and combines it with Sketch h.
// If Sketch h is using the sparse Sketch, it will be converted
// to the normal Sketch.
func (sk *Sketch) Merge(other *Sketch) error {
if other == nil {
// Nothing to do
return nil
}
cpOther := other.Clone()
if sk.p != cpOther.p {
return errors.New("precisions must be equal")
}
if sk.sparse() && other.sparse() {
for k := range other.tmpSet {
sk.tmpSet.add(k)
}
for iter := other.sparseList.Iter(); iter.HasNext(); {
sk.tmpSet.add(iter.Next())
}
sk.maybeToNormal()
return nil
}
if sk.sparse() {
sk.toNormal()
}
if cpOther.sparse() {
for k := range cpOther.tmpSet {
i, r := decodeHash(k, cpOther.p, pp)
sk.insert(i, r)
}
for iter := cpOther.sparseList.Iter(); iter.HasNext(); {
i, r := decodeHash(iter.Next(), cpOther.p, pp)
sk.insert(i, r)
}
} else {
if sk.b < cpOther.b {
sk.regs.rebase(cpOther.b - sk.b)
sk.b = cpOther.b
} else {
cpOther.regs.rebase(sk.b - cpOther.b)
cpOther.b = sk.b
}
for i, v := range cpOther.regs.tailcuts {
v1 := v.get(0)
if v1 > sk.regs.get(uint32(i)*2) {
sk.regs.set(uint32(i)*2, v1)
}
v2 := v.get(1)
if v2 > sk.regs.get(1+uint32(i)*2) {
sk.regs.set(1+uint32(i)*2, v2)
}
}
}
return nil
}
// Convert from sparse Sketch to dense Sketch.
func (sk *Sketch) toNormal() {
if len(sk.tmpSet) > 0 {
sk.mergeSparse()
}
sk.regs = newRegisters(sk.m)
for iter := sk.sparseList.Iter(); iter.HasNext(); {
i, r := decodeHash(iter.Next(), sk.p, pp)
sk.insert(i, r)
}
sk.tmpSet = nil
sk.sparseList = nil
}
func (sk *Sketch) insert(i uint32, r uint8) bool {
changed := false
if r-sk.b >= capacity {
//overflow
db := sk.regs.min()
if db > 0 {
sk.b += db
sk.regs.rebase(db)
changed = true
}
}
if r > sk.b {
val := r - sk.b
if c1 := capacity - 1; c1 < val {
val = c1
}
if val > sk.regs.get(i) {
sk.regs.set(i, val)
changed = true
}
}
return changed
}
// Insert adds element e to sketch
func (sk *Sketch) Insert(e []byte) bool {
x := hash(e)
return sk.InsertHash(x)
}
// InsertHash adds hash x to sketch
func (sk *Sketch) InsertHash(x uint64) bool {
if sk.sparse() {
changed := sk.tmpSet.add(encodeHash(x, sk.p, pp))
if !changed {
return false
}
if uint32(len(sk.tmpSet))*100 > sk.m/2 {
sk.mergeSparse()
if uint32(sk.sparseList.Len()) > sk.m/2 {
sk.toNormal()
}
}
return true
} else {
i, r := getPosVal(x, sk.p)
return sk.insert(uint32(i), r)
}
}
// Estimate returns the cardinality of the Sketch
func (sk *Sketch) Estimate() uint64 {
if sk.sparse() {
sk.mergeSparse()
return uint64(linearCount(mp, mp-sk.sparseList.count))
}
sum, ez := sk.regs.sumAndZeros(sk.b)
m := float64(sk.m)
var est float64
var beta func(float64) float64
if sk.p < 16 {
beta = beta14
} else {
beta = beta16
}
if sk.b == 0 {
est = (sk.alpha * m * (m - ez) / (sum + beta(ez)))
} else {
est = (sk.alpha * m * m / sum)
}
return uint64(est + 0.5)
}
func (sk *Sketch) mergeSparse() {
if len(sk.tmpSet) == 0 {
return
}
keys := make(uint64Slice, 0, len(sk.tmpSet))
for k := range sk.tmpSet {
keys = append(keys, k)
}
sort.Sort(keys)
newList := newCompressedList()
for iter, i := sk.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())
}
}
sk.sparseList = newList
sk.tmpSet = set{}
}
// MarshalBinary implements the encoding.BinaryMarshaler interface.
func (sk *Sketch) MarshalBinary() (data []byte, err error) {
// Marshal a version marker.
data = append(data, version)
// Marshal p.
data = append(data, sk.p)
// Marshal b
data = append(data, sk.b)
if sk.sparse() {
// It's using the sparse Sketch.
data = append(data, byte(1))
// Add the tmp_set
tsdata, err := sk.tmpSet.MarshalBinary()
if err != nil {
return nil, err
}
data = append(data, tsdata...)
// Add the sparse Sketch
sdata, err := sk.sparseList.MarshalBinary()
if err != nil {
return nil, err
}
return append(data, sdata...), nil
}
// It's using the dense Sketch.
data = append(data, byte(0))
// Add the dense sketch Sketch.
sz := len(sk.regs.tailcuts)
data = append(data, []byte{
byte(sz >> 24),
byte(sz >> 16),
byte(sz >> 8),
byte(sz),
}...)
// Marshal each element in the list.
for i := 0; i < len(sk.regs.tailcuts); i++ {
data = append(data, byte(sk.regs.tailcuts[i]))
}
return data, nil
}
// ErrorTooShort is an error that UnmarshalBinary try to parse too short
// binary.
var ErrorTooShort = errors.New("too short binary")
// UnmarshalBinary implements the encoding.BinaryUnmarshaler interface.
func (sk *Sketch) UnmarshalBinary(data []byte) error {
if len(data) < 8 {
return ErrorTooShort
}
// Unmarshal version. We may need this in the future if we make
// non-compatible changes.
_ = data[0]
// Unmarshal p.
p := data[1]
// Unmarshal b.
sk.b = data[2]
// Determine if we need a sparse Sketch
sparse := data[3] == byte(1)
// Make a newSketch Sketch if the precision doesn't match or if the Sketch was used
if sk.p != p || sk.regs != nil || len(sk.tmpSet) > 0 || (sk.sparseList != nil && sk.sparseList.Len() > 0) {
newh, err := newSketch(p, sparse)
if err != nil {
return err
}
newh.b = sk.b
*sk = *newh
}
// h is now initialised with the correct p. We just need to fill the
// rest of the details out.
if sparse {
// Using the sparse Sketch.
// Unmarshal the tmp_set.
tssz := binary.BigEndian.Uint32(data[4:8])
sk.tmpSet = make(map[uint32]struct{}, tssz)
// We need to unmarshal tssz values in total, and each value requires us
// to read 4 bytes.
tsLastByte := int((tssz * 4) + 8)
for i := 8; i < tsLastByte; i += 4 {
k := binary.BigEndian.Uint32(data[i : i+4])
sk.tmpSet[k] = struct{}{}
}
// Unmarshal the sparse Sketch.
return sk.sparseList.UnmarshalBinary(data[tsLastByte:])
}
// Using the dense Sketch.
sk.sparseList = nil
sk.tmpSet = nil
dsz := binary.BigEndian.Uint32(data[4:8])
sk.regs = newRegisters(dsz * 2)
data = data[8:]
for i, val := range data {
sk.regs.tailcuts[i] = reg(val)
if uint8(sk.regs.tailcuts[i]<<4>>4) > 0 {
sk.regs.nz--
}
if uint8(sk.regs.tailcuts[i]>>4) > 0 {
sk.regs.nz--
}
}
return nil
}
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package hyperloglog
import (
"math"
)
type reg uint8
type tailcuts []reg
type registers struct {
tailcuts
nz uint32
}
func (r *reg) set(offset, val uint8) bool {
var isZero bool
if offset == 0 {
isZero = *r < 16
tmpVal := uint8((*r) << 4 >> 4)
*r = reg(tmpVal | (val << 4))
} else {
isZero = *r&0x0f == 0
tmpVal := uint8((*r) >> 4 << 4)
*r = reg(tmpVal | val)
}
return isZero
}
func (r *reg) get(offset uint8) uint8 {
if offset == 0 {
return uint8((*r) >> 4)
}
return uint8((*r) << 4 >> 4)
}
func newRegisters(size uint32) *registers {
return &registers{
tailcuts: make(tailcuts, size/2),
nz: size,
}
}
func (rs *registers) clone() *registers {
if rs == nil {
return nil
}
tc := make([]reg, len(rs.tailcuts))
copy(tc, rs.tailcuts)
return &registers{
tailcuts: tc,
nz: rs.nz,
}
}
func (rs *registers) rebase(delta uint8) {
nz := uint32(len(rs.tailcuts)) * 2
for i := range rs.tailcuts {
for j := uint8(0); j < 2; j++ {
val := rs.tailcuts[i].get(j)
if val >= delta {
rs.tailcuts[i].set(j, val-delta)
if val-delta > 0 {
nz--
}
}
}
}
rs.nz = nz
}
func (rs *registers) set(i uint32, val uint8) {
offset, index := uint8(i)&1, i/2
if rs.tailcuts[index].set(offset, val) {
rs.nz--
}
}
func (rs *registers) get(i uint32) uint8 {
offset, index := uint8(i)&1, i/2
return rs.tailcuts[index].get(offset)
}
func (rs *registers) sumAndZeros(base uint8) (res, ez float64) {
for _, r := range rs.tailcuts {
for j := uint8(0); j < 2; j++ {
v := float64(base + r.get(j))
if v == 0 {
ez++
}
res += 1.0 / math.Pow(2.0, v)
}
}
rs.nz = uint32(ez)
return res, ez
}
func (rs *registers) min() uint8 {
if rs.nz > 0 {
return 0
}
min := uint8(math.MaxUint8)
for _, r := range rs.tailcuts {
if r == 0 || min == 0 {
return 0
}
if val := uint8(r << 4 >> 4); val < min {
min = val
}
if val := uint8(r >> 4); val < min {
min = val
}
}
return min
}
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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] }
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package hyperloglog
import (
"github.com/alicebob/miniredis/v2/metro"
"math"
"math/bits"
)
var hash = hashFunc
func beta14(ez float64) float64 {
zl := math.Log(ez + 1)
return -0.370393911*ez +
0.070471823*zl +
0.17393686*math.Pow(zl, 2) +
0.16339839*math.Pow(zl, 3) +
-0.09237745*math.Pow(zl, 4) +
0.03738027*math.Pow(zl, 5) +
-0.005384159*math.Pow(zl, 6) +
0.00042419*math.Pow(zl, 7)
}
func beta16(ez float64) float64 {
zl := math.Log(ez + 1)
return -0.37331876643753059*ez +
-1.41704077448122989*zl +
0.40729184796612533*math.Pow(zl, 2) +
1.56152033906584164*math.Pow(zl, 3) +
-0.99242233534286128*math.Pow(zl, 4) +
0.26064681399483092*math.Pow(zl, 5) +
-0.03053811369682807*math.Pow(zl, 6) +
0.00155770210179105*math.Pow(zl, 7)
}
func alpha(m float64) float64 {
switch m {
case 16:
return 0.673
case 32:
return 0.697
case 64:
return 0.709
}
return 0.7213 / (1 + 1.079/m)
}
func getPosVal(x uint64, p uint8) (uint64, uint8) {
i := bextr(x, 64-p, p) // {x63,...,x64-p}
w := x<<p | 1<<(p-1) // {x63-p,...,x0}
rho := uint8(bits.LeadingZeros64(w)) + 1
return i, rho
}
func linearCount(m uint32, v uint32) float64 {
fm := float64(m)
return fm * math.Log(fm/float64(v))
}
func bextr(v uint64, start, length uint8) uint64 {
return (v >> start) & ((1 << length) - 1)
}
func bextr32(v uint32, start, length uint8) uint32 {
return (v >> start) & ((1 << length) - 1)
}
func hashFunc(e []byte) uint64 {
return metro.Hash64(e, 1337)
}