forked from TrueCloudLab/rclone
cache: add vendor requirements: bbolt and go-cache
This commit is contained in:
parent
aec2265be0
commit
0c942199c9
51 changed files with 17452 additions and 0 deletions
192
vendor/github.com/patrickmn/go-cache/sharded.go
generated
vendored
Normal file
192
vendor/github.com/patrickmn/go-cache/sharded.go
generated
vendored
Normal file
|
@ -0,0 +1,192 @@
|
|||
package cache
|
||||
|
||||
import (
|
||||
"crypto/rand"
|
||||
"math"
|
||||
"math/big"
|
||||
insecurerand "math/rand"
|
||||
"os"
|
||||
"runtime"
|
||||
"time"
|
||||
)
|
||||
|
||||
// This is an experimental and unexported (for now) attempt at making a cache
|
||||
// with better algorithmic complexity than the standard one, namely by
|
||||
// preventing write locks of the entire cache when an item is added. As of the
|
||||
// time of writing, the overhead of selecting buckets results in cache
|
||||
// operations being about twice as slow as for the standard cache with small
|
||||
// total cache sizes, and faster for larger ones.
|
||||
//
|
||||
// See cache_test.go for a few benchmarks.
|
||||
|
||||
type unexportedShardedCache struct {
|
||||
*shardedCache
|
||||
}
|
||||
|
||||
type shardedCache struct {
|
||||
seed uint32
|
||||
m uint32
|
||||
cs []*cache
|
||||
janitor *shardedJanitor
|
||||
}
|
||||
|
||||
// djb2 with better shuffling. 5x faster than FNV with the hash.Hash overhead.
|
||||
func djb33(seed uint32, k string) uint32 {
|
||||
var (
|
||||
l = uint32(len(k))
|
||||
d = 5381 + seed + l
|
||||
i = uint32(0)
|
||||
)
|
||||
// Why is all this 5x faster than a for loop?
|
||||
if l >= 4 {
|
||||
for i < l-4 {
|
||||
d = (d * 33) ^ uint32(k[i])
|
||||
d = (d * 33) ^ uint32(k[i+1])
|
||||
d = (d * 33) ^ uint32(k[i+2])
|
||||
d = (d * 33) ^ uint32(k[i+3])
|
||||
i += 4
|
||||
}
|
||||
}
|
||||
switch l - i {
|
||||
case 1:
|
||||
case 2:
|
||||
d = (d * 33) ^ uint32(k[i])
|
||||
case 3:
|
||||
d = (d * 33) ^ uint32(k[i])
|
||||
d = (d * 33) ^ uint32(k[i+1])
|
||||
case 4:
|
||||
d = (d * 33) ^ uint32(k[i])
|
||||
d = (d * 33) ^ uint32(k[i+1])
|
||||
d = (d * 33) ^ uint32(k[i+2])
|
||||
}
|
||||
return d ^ (d >> 16)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) bucket(k string) *cache {
|
||||
return sc.cs[djb33(sc.seed, k)%sc.m]
|
||||
}
|
||||
|
||||
func (sc *shardedCache) Set(k string, x interface{}, d time.Duration) {
|
||||
sc.bucket(k).Set(k, x, d)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) Add(k string, x interface{}, d time.Duration) error {
|
||||
return sc.bucket(k).Add(k, x, d)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) Replace(k string, x interface{}, d time.Duration) error {
|
||||
return sc.bucket(k).Replace(k, x, d)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) Get(k string) (interface{}, bool) {
|
||||
return sc.bucket(k).Get(k)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) Increment(k string, n int64) error {
|
||||
return sc.bucket(k).Increment(k, n)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) IncrementFloat(k string, n float64) error {
|
||||
return sc.bucket(k).IncrementFloat(k, n)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) Decrement(k string, n int64) error {
|
||||
return sc.bucket(k).Decrement(k, n)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) Delete(k string) {
|
||||
sc.bucket(k).Delete(k)
|
||||
}
|
||||
|
||||
func (sc *shardedCache) DeleteExpired() {
|
||||
for _, v := range sc.cs {
|
||||
v.DeleteExpired()
|
||||
}
|
||||
}
|
||||
|
||||
// Returns the items in the cache. This may include items that have expired,
|
||||
// but have not yet been cleaned up. If this is significant, the Expiration
|
||||
// fields of the items should be checked. Note that explicit synchronization
|
||||
// is needed to use a cache and its corresponding Items() return values at
|
||||
// the same time, as the maps are shared.
|
||||
func (sc *shardedCache) Items() []map[string]Item {
|
||||
res := make([]map[string]Item, len(sc.cs))
|
||||
for i, v := range sc.cs {
|
||||
res[i] = v.Items()
|
||||
}
|
||||
return res
|
||||
}
|
||||
|
||||
func (sc *shardedCache) Flush() {
|
||||
for _, v := range sc.cs {
|
||||
v.Flush()
|
||||
}
|
||||
}
|
||||
|
||||
type shardedJanitor struct {
|
||||
Interval time.Duration
|
||||
stop chan bool
|
||||
}
|
||||
|
||||
func (j *shardedJanitor) Run(sc *shardedCache) {
|
||||
j.stop = make(chan bool)
|
||||
tick := time.Tick(j.Interval)
|
||||
for {
|
||||
select {
|
||||
case <-tick:
|
||||
sc.DeleteExpired()
|
||||
case <-j.stop:
|
||||
return
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func stopShardedJanitor(sc *unexportedShardedCache) {
|
||||
sc.janitor.stop <- true
|
||||
}
|
||||
|
||||
func runShardedJanitor(sc *shardedCache, ci time.Duration) {
|
||||
j := &shardedJanitor{
|
||||
Interval: ci,
|
||||
}
|
||||
sc.janitor = j
|
||||
go j.Run(sc)
|
||||
}
|
||||
|
||||
func newShardedCache(n int, de time.Duration) *shardedCache {
|
||||
max := big.NewInt(0).SetUint64(uint64(math.MaxUint32))
|
||||
rnd, err := rand.Int(rand.Reader, max)
|
||||
var seed uint32
|
||||
if err != nil {
|
||||
os.Stderr.Write([]byte("WARNING: go-cache's newShardedCache failed to read from the system CSPRNG (/dev/urandom or equivalent.) Your system's security may be compromised. Continuing with an insecure seed.\n"))
|
||||
seed = insecurerand.Uint32()
|
||||
} else {
|
||||
seed = uint32(rnd.Uint64())
|
||||
}
|
||||
sc := &shardedCache{
|
||||
seed: seed,
|
||||
m: uint32(n),
|
||||
cs: make([]*cache, n),
|
||||
}
|
||||
for i := 0; i < n; i++ {
|
||||
c := &cache{
|
||||
defaultExpiration: de,
|
||||
items: map[string]Item{},
|
||||
}
|
||||
sc.cs[i] = c
|
||||
}
|
||||
return sc
|
||||
}
|
||||
|
||||
func unexportedNewSharded(defaultExpiration, cleanupInterval time.Duration, shards int) *unexportedShardedCache {
|
||||
if defaultExpiration == 0 {
|
||||
defaultExpiration = -1
|
||||
}
|
||||
sc := newShardedCache(shards, defaultExpiration)
|
||||
SC := &unexportedShardedCache{sc}
|
||||
if cleanupInterval > 0 {
|
||||
runShardedJanitor(sc, cleanupInterval)
|
||||
runtime.SetFinalizer(SC, stopShardedJanitor)
|
||||
}
|
||||
return SC
|
||||
}
|
Loading…
Add table
Add a link
Reference in a new issue