Commit 03d66e08 authored by deads2k's avatar deads2k

bump(github.com/hashicorp/golang-lru): a0d98a5f288019575c6d1f4bb1573fef2d1fcdc4

parent 4f410d38
...@@ -683,6 +683,10 @@ ...@@ -683,6 +683,10 @@
"Rev": "fa3f63826f7c23912c15263591e65d54d080b458" "Rev": "fa3f63826f7c23912c15263591e65d54d080b458"
}, },
{ {
"ImportPath": "github.com/hashicorp/golang-lru",
"Rev": "a0d98a5f288019575c6d1f4bb1573fef2d1fcdc4"
},
{
"ImportPath": "github.com/hashicorp/raft", "ImportPath": "github.com/hashicorp/raft",
"Rev": "057b893fd996696719e98b6c44649ea14968c811" "Rev": "057b893fd996696719e98b6c44649ea14968c811"
}, },
......
...@@ -51,6 +51,7 @@ github.com/google/gofuzz | Apache-2 ...@@ -51,6 +51,7 @@ github.com/google/gofuzz | Apache-2
github.com/gorilla/context | spdxBSD3 github.com/gorilla/context | spdxBSD3
github.com/gorilla/mux | spdxBSD3 github.com/gorilla/mux | spdxBSD3
github.com/hashicorp/go-msgpack | spdxBSD3 github.com/hashicorp/go-msgpack | spdxBSD3
github.com/hashicorp/golang-lru | IntelPart08
github.com/hashicorp/raft | IntelPart08 github.com/hashicorp/raft | IntelPart08
github.com/hashicorp/raft-boltdb | IntelPart08 github.com/hashicorp/raft-boltdb | IntelPart08
github.com/imdario/mergo | spdxBSD3 github.com/imdario/mergo | spdxBSD3
......
# Compiled Object files, Static and Dynamic libs (Shared Objects)
*.o
*.a
*.so
# Folders
_obj
_test
# Architecture specific extensions/prefixes
*.[568vq]
[568vq].out
*.cgo1.go
*.cgo2.c
_cgo_defun.c
_cgo_gotypes.go
_cgo_export.*
_testmain.go
*.exe
*.test
package lru
import (
"fmt"
"sync"
"github.com/hashicorp/golang-lru/simplelru"
)
const (
// Default2QRecentRatio is the ratio of the 2Q cache dedicated
// to recently added entries that have only been accessed once.
Default2QRecentRatio = 0.25
// Default2QGhostEntries is the default ratio of ghost
// entries kept to track entries recently evicted
Default2QGhostEntries = 0.50
)
// TwoQueueCache is a thread-safe fixed size 2Q cache.
// 2Q is an enhancement over the standard LRU cache
// in that it tracks both frequently and recently used
// entries separately. This avoids a burst in access to new
// entries from evicting frequently used entries. It adds some
// additional tracking overhead to the standard LRU cache, and is
// computationally about 2x the cost, and adds some metadata over
// head. The ARCCache is similar, but does not require setting any
// parameters.
type TwoQueueCache struct {
size int
recentSize int
recent *simplelru.LRU
frequent *simplelru.LRU
recentEvict *simplelru.LRU
lock sync.RWMutex
}
// New2Q creates a new TwoQueueCache using the default
// values for the parameters.
func New2Q(size int) (*TwoQueueCache, error) {
return New2QParams(size, Default2QRecentRatio, Default2QGhostEntries)
}
// New2QParams creates a new TwoQueueCache using the provided
// parameter values.
func New2QParams(size int, recentRatio float64, ghostRatio float64) (*TwoQueueCache, error) {
if size <= 0 {
return nil, fmt.Errorf("invalid size")
}
if recentRatio < 0.0 || recentRatio > 1.0 {
return nil, fmt.Errorf("invalid recent ratio")
}
if ghostRatio < 0.0 || ghostRatio > 1.0 {
return nil, fmt.Errorf("invalid ghost ratio")
}
// Determine the sub-sizes
recentSize := int(float64(size) * recentRatio)
evictSize := int(float64(size) * ghostRatio)
// Allocate the LRUs
recent, err := simplelru.NewLRU(size, nil)
if err != nil {
return nil, err
}
frequent, err := simplelru.NewLRU(size, nil)
if err != nil {
return nil, err
}
recentEvict, err := simplelru.NewLRU(evictSize, nil)
if err != nil {
return nil, err
}
// Initialize the cache
c := &TwoQueueCache{
size: size,
recentSize: recentSize,
recent: recent,
frequent: frequent,
recentEvict: recentEvict,
}
return c, nil
}
func (c *TwoQueueCache) Get(key interface{}) (interface{}, bool) {
c.lock.Lock()
defer c.lock.Unlock()
// Check if this is a frequent value
if val, ok := c.frequent.Get(key); ok {
return val, ok
}
// If the value is contained in recent, then we
// promote it to frequent
if val, ok := c.recent.Peek(key); ok {
c.recent.Remove(key)
c.frequent.Add(key, val)
return val, ok
}
// No hit
return nil, false
}
func (c *TwoQueueCache) Add(key, value interface{}) {
c.lock.Lock()
defer c.lock.Unlock()
// Check if the value is frequently used already,
// and just update the value
if c.frequent.Contains(key) {
c.frequent.Add(key, value)
return
}
// Check if the value is recently used, and promote
// the value into the frequent list
if c.recent.Contains(key) {
c.recent.Remove(key)
c.frequent.Add(key, value)
return
}
// If the value was recently evicted, add it to the
// frequently used list
if c.recentEvict.Contains(key) {
c.ensureSpace(true)
c.recentEvict.Remove(key)
c.frequent.Add(key, value)
return
}
// Add to the recently seen list
c.ensureSpace(false)
c.recent.Add(key, value)
return
}
// ensureSpace is used to ensure we have space in the cache
func (c *TwoQueueCache) ensureSpace(recentEvict bool) {
// If we have space, nothing to do
recentLen := c.recent.Len()
freqLen := c.frequent.Len()
if recentLen+freqLen < c.size {
return
}
// If the recent buffer is larger than
// the target, evict from there
if recentLen > 0 && (recentLen > c.recentSize || (recentLen == c.recentSize && !recentEvict)) {
k, _, _ := c.recent.RemoveOldest()
c.recentEvict.Add(k, nil)
return
}
// Remove from the frequent list otherwise
c.frequent.RemoveOldest()
}
func (c *TwoQueueCache) Len() int {
c.lock.RLock()
defer c.lock.RUnlock()
return c.recent.Len() + c.frequent.Len()
}
func (c *TwoQueueCache) Keys() []interface{} {
c.lock.RLock()
defer c.lock.RUnlock()
k1 := c.frequent.Keys()
k2 := c.recent.Keys()
return append(k1, k2...)
}
func (c *TwoQueueCache) Remove(key interface{}) {
c.lock.Lock()
defer c.lock.Unlock()
if c.frequent.Remove(key) {
return
}
if c.recent.Remove(key) {
return
}
if c.recentEvict.Remove(key) {
return
}
}
func (c *TwoQueueCache) Purge() {
c.lock.Lock()
defer c.lock.Unlock()
c.recent.Purge()
c.frequent.Purge()
c.recentEvict.Purge()
}
func (c *TwoQueueCache) Contains(key interface{}) bool {
c.lock.RLock()
defer c.lock.RUnlock()
return c.frequent.Contains(key) || c.recent.Contains(key)
}
func (c *TwoQueueCache) Peek(key interface{}) (interface{}, bool) {
c.lock.RLock()
defer c.lock.RUnlock()
if val, ok := c.frequent.Peek(key); ok {
return val, ok
}
return c.recent.Peek(key)
}
golang-lru
==========
This provides the `lru` package which implements a fixed-size
thread safe LRU cache. It is based on the cache in Groupcache.
Documentation
=============
Full docs are available on [Godoc](http://godoc.org/github.com/hashicorp/golang-lru)
Example
=======
Using the LRU is very simple:
```go
l, _ := New(128)
for i := 0; i < 256; i++ {
l.Add(i, nil)
}
if l.Len() != 128 {
panic(fmt.Sprintf("bad len: %v", l.Len()))
}
```
package lru
import (
"sync"
"github.com/hashicorp/golang-lru/simplelru"
)
// ARCCache is a thread-safe fixed size Adaptive Replacement Cache (ARC).
// ARC is an enhancement over the standard LRU cache in that tracks both
// frequency and recency of use. This avoids a burst in access to new
// entries from evicting the frequently used older entries. It adds some
// additional tracking overhead to a standard LRU cache, computationally
// it is roughly 2x the cost, and the extra memory overhead is linear
// with the size of the cache. ARC has been patented by IBM, but is
// similar to the TwoQueueCache (2Q) which requires setting parameters.
type ARCCache struct {
size int // Size is the total capacity of the cache
p int // P is the dynamic preference towards T1 or T2
t1 *simplelru.LRU // T1 is the LRU for recently accessed items
b1 *simplelru.LRU // B1 is the LRU for evictions from t1
t2 *simplelru.LRU // T2 is the LRU for frequently accessed items
b2 *simplelru.LRU // B2 is the LRU for evictions from t2
lock sync.RWMutex
}
// NewARC creates an ARC of the given size
func NewARC(size int) (*ARCCache, error) {
// Create the sub LRUs
b1, err := simplelru.NewLRU(size, nil)
if err != nil {
return nil, err
}
b2, err := simplelru.NewLRU(size, nil)
if err != nil {
return nil, err
}
t1, err := simplelru.NewLRU(size, nil)
if err != nil {
return nil, err
}
t2, err := simplelru.NewLRU(size, nil)
if err != nil {
return nil, err
}
// Initialize the ARC
c := &ARCCache{
size: size,
p: 0,
t1: t1,
b1: b1,
t2: t2,
b2: b2,
}
return c, nil
}
// Get looks up a key's value from the cache.
func (c *ARCCache) Get(key interface{}) (interface{}, bool) {
c.lock.Lock()
defer c.lock.Unlock()
// Ff the value is contained in T1 (recent), then
// promote it to T2 (frequent)
if val, ok := c.t1.Peek(key); ok {
c.t1.Remove(key)
c.t2.Add(key, val)
return val, ok
}
// Check if the value is contained in T2 (frequent)
if val, ok := c.t2.Get(key); ok {
return val, ok
}
// No hit
return nil, false
}
// Add adds a value to the cache.
func (c *ARCCache) Add(key, value interface{}) {
c.lock.Lock()
defer c.lock.Unlock()
// Check if the value is contained in T1 (recent), and potentially
// promote it to frequent T2
if c.t1.Contains(key) {
c.t1.Remove(key)
c.t2.Add(key, value)
return
}
// Check if the value is already in T2 (frequent) and update it
if c.t2.Contains(key) {
c.t2.Add(key, value)
return
}
// Check if this value was recently evicted as part of the
// recently used list
if c.b1.Contains(key) {
// T1 set is too small, increase P appropriately
delta := 1
b1Len := c.b1.Len()
b2Len := c.b2.Len()
if b2Len > b1Len {
delta = b2Len / b1Len
}
if c.p+delta >= c.size {
c.p = c.size
} else {
c.p += delta
}
// Potentially need to make room in the cache
if c.t1.Len()+c.t2.Len() >= c.size {
c.replace(false)
}
// Remove from B1
c.b1.Remove(key)
// Add the key to the frequently used list
c.t2.Add(key, value)
return
}
// Check if this value was recently evicted as part of the
// frequently used list
if c.b2.Contains(key) {
// T2 set is too small, decrease P appropriately
delta := 1
b1Len := c.b1.Len()
b2Len := c.b2.Len()
if b1Len > b2Len {
delta = b1Len / b2Len
}
if delta >= c.p {
c.p = 0
} else {
c.p -= delta
}
// Potentially need to make room in the cache
if c.t1.Len()+c.t2.Len() >= c.size {
c.replace(true)
}
// Remove from B2
c.b2.Remove(key)
// Add the key to the frequntly used list
c.t2.Add(key, value)
return
}
// Potentially need to make room in the cache
if c.t1.Len()+c.t2.Len() >= c.size {
c.replace(false)
}
// Keep the size of the ghost buffers trim
if c.b1.Len() > c.size-c.p {
c.b1.RemoveOldest()
}
if c.b2.Len() > c.p {
c.b2.RemoveOldest()
}
// Add to the recently seen list
c.t1.Add(key, value)
return
}
// replace is used to adaptively evict from either T1 or T2
// based on the current learned value of P
func (c *ARCCache) replace(b2ContainsKey bool) {
t1Len := c.t1.Len()
if t1Len > 0 && (t1Len > c.p || (t1Len == c.p && b2ContainsKey)) {
k, _, ok := c.t1.RemoveOldest()
if ok {
c.b1.Add(k, nil)
}
} else {
k, _, ok := c.t2.RemoveOldest()
if ok {
c.b2.Add(k, nil)
}
}
}
// Len returns the number of cached entries
func (c *ARCCache) Len() int {
c.lock.RLock()
defer c.lock.RUnlock()
return c.t1.Len() + c.t2.Len()
}
// Keys returns all the cached keys
func (c *ARCCache) Keys() []interface{} {
c.lock.RLock()
defer c.lock.RUnlock()
k1 := c.t1.Keys()
k2 := c.t2.Keys()
return append(k1, k2...)
}
// Remove is used to purge a key from the cache
func (c *ARCCache) Remove(key interface{}) {
c.lock.Lock()
defer c.lock.Unlock()
if c.t1.Remove(key) {
return
}
if c.t2.Remove(key) {
return
}
if c.b1.Remove(key) {
return
}
if c.b2.Remove(key) {
return
}
}
// Purge is used to clear the cache
func (c *ARCCache) Purge() {
c.lock.Lock()
defer c.lock.Unlock()
c.t1.Purge()
c.t2.Purge()
c.b1.Purge()
c.b2.Purge()
}
// Contains is used to check if the cache contains a key
// without updating recency or frequency.
func (c *ARCCache) Contains(key interface{}) bool {
c.lock.RLock()
defer c.lock.RUnlock()
return c.t1.Contains(key) || c.t2.Contains(key)
}
// Peek is used to inspect the cache value of a key
// without updating recency or frequency.
func (c *ARCCache) Peek(key interface{}) (interface{}, bool) {
c.lock.RLock()
defer c.lock.RUnlock()
if val, ok := c.t1.Peek(key); ok {
return val, ok
}
return c.t2.Peek(key)
}
// This package provides a simple LRU cache. It is based on the
// LRU implementation in groupcache:
// https://github.com/golang/groupcache/tree/master/lru
package lru
import (
"sync"
"github.com/hashicorp/golang-lru/simplelru"
)
// Cache is a thread-safe fixed size LRU cache.
type Cache struct {
lru *simplelru.LRU
lock sync.RWMutex
}
// New creates an LRU of the given size
func New(size int) (*Cache, error) {
return NewWithEvict(size, nil)
}
// NewWithEvict constructs a fixed size cache with the given eviction
// callback.
func NewWithEvict(size int, onEvicted func(key interface{}, value interface{})) (*Cache, error) {
lru, err := simplelru.NewLRU(size, simplelru.EvictCallback(onEvicted))
if err != nil {
return nil, err
}
c := &Cache{
lru: lru,
}
return c, nil
}
// Purge is used to completely clear the cache
func (c *Cache) Purge() {
c.lock.Lock()
c.lru.Purge()
c.lock.Unlock()
}
// Add adds a value to the cache. Returns true if an eviction occurred.
func (c *Cache) Add(key, value interface{}) bool {
c.lock.Lock()
defer c.lock.Unlock()
return c.lru.Add(key, value)
}
// Get looks up a key's value from the cache.
func (c *Cache) Get(key interface{}) (interface{}, bool) {
c.lock.Lock()
defer c.lock.Unlock()
return c.lru.Get(key)
}
// Check if a key is in the cache, without updating the recent-ness
// or deleting it for being stale.
func (c *Cache) Contains(key interface{}) bool {
c.lock.RLock()
defer c.lock.RUnlock()
return c.lru.Contains(key)
}
// Returns the key value (or undefined if not found) without updating
// the "recently used"-ness of the key.
func (c *Cache) Peek(key interface{}) (interface{}, bool) {
c.lock.RLock()
defer c.lock.RUnlock()
return c.lru.Peek(key)
}
// ContainsOrAdd checks if a key is in the cache without updating the
// recent-ness or deleting it for being stale, and if not, adds the value.
// Returns whether found and whether an eviction occurred.
func (c *Cache) ContainsOrAdd(key, value interface{}) (ok, evict bool) {
c.lock.Lock()
defer c.lock.Unlock()
if c.lru.Contains(key) {
return true, false
} else {
evict := c.lru.Add(key, value)
return false, evict
}
}
// Remove removes the provided key from the cache.
func (c *Cache) Remove(key interface{}) {
c.lock.Lock()
c.lru.Remove(key)
c.lock.Unlock()
}
// RemoveOldest removes the oldest item from the cache.
func (c *Cache) RemoveOldest() {
c.lock.Lock()
c.lru.RemoveOldest()
c.lock.Unlock()
}
// Keys returns a slice of the keys in the cache, from oldest to newest.
func (c *Cache) Keys() []interface{} {
c.lock.RLock()
defer c.lock.RUnlock()
return c.lru.Keys()
}
// Len returns the number of items in the cache.
func (c *Cache) Len() int {
c.lock.RLock()
defer c.lock.RUnlock()
return c.lru.Len()
}
package simplelru
import (
"container/list"
"errors"
)
// EvictCallback is used to get a callback when a cache entry is evicted
type EvictCallback func(key interface{}, value interface{})
// LRU implements a non-thread safe fixed size LRU cache
type LRU struct {
size int
evictList *list.List
items map[interface{}]*list.Element
onEvict EvictCallback
}
// entry is used to hold a value in the evictList
type entry struct {
key interface{}
value interface{}
}
// NewLRU constructs an LRU of the given size
func NewLRU(size int, onEvict EvictCallback) (*LRU, error) {
if size <= 0 {
return nil, errors.New("Must provide a positive size")
}
c := &LRU{
size: size,
evictList: list.New(),
items: make(map[interface{}]*list.Element),
onEvict: onEvict,
}
return c, nil
}
// Purge is used to completely clear the cache
func (c *LRU) Purge() {
for k, v := range c.items {
if c.onEvict != nil {
c.onEvict(k, v.Value.(*entry).value)
}
delete(c.items, k)
}
c.evictList.Init()
}
// Add adds a value to the cache. Returns true if an eviction occured.
func (c *LRU) Add(key, value interface{}) bool {
// Check for existing item
if ent, ok := c.items[key]; ok {
c.evictList.MoveToFront(ent)
ent.Value.(*entry).value = value
return false
}
// Add new item
ent := &entry{key, value}
entry := c.evictList.PushFront(ent)
c.items[key] = entry
evict := c.evictList.Len() > c.size
// Verify size not exceeded
if evict {
c.removeOldest()
}
return evict
}
// Get looks up a key's value from the cache.
func (c *LRU) Get(key interface{}) (value interface{}, ok bool) {
if ent, ok := c.items[key]; ok {
c.evictList.MoveToFront(ent)
return ent.Value.(*entry).value, true
}
return
}
// Check if a key is in the cache, without updating the recent-ness
// or deleting it for being stale.
func (c *LRU) Contains(key interface{}) (ok bool) {
_, ok = c.items[key]
return ok
}
// Returns the key value (or undefined if not found) without updating
// the "recently used"-ness of the key.
func (c *LRU) Peek(key interface{}) (value interface{}, ok bool) {
if ent, ok := c.items[key]; ok {
return ent.Value.(*entry).value, true
}
return nil, ok
}
// Remove removes the provided key from the cache, returning if the
// key was contained.
func (c *LRU) Remove(key interface{}) bool {
if ent, ok := c.items[key]; ok {
c.removeElement(ent)
return true
}
return false
}
// RemoveOldest removes the oldest item from the cache.
func (c *LRU) RemoveOldest() (interface{}, interface{}, bool) {
ent := c.evictList.Back()
if ent != nil {
c.removeElement(ent)
kv := ent.Value.(*entry)
return kv.key, kv.value, true
}
return nil, nil, false
}
// GetOldest returns the oldest entry
func (c *LRU) GetOldest() (interface{}, interface{}, bool) {
ent := c.evictList.Back()
if ent != nil {
kv := ent.Value.(*entry)
return kv.key, kv.value, true
}
return nil, nil, false
}
// Keys returns a slice of the keys in the cache, from oldest to newest.
func (c *LRU) Keys() []interface{} {
keys := make([]interface{}, len(c.items))
i := 0
for ent := c.evictList.Back(); ent != nil; ent = ent.Prev() {
keys[i] = ent.Value.(*entry).key
i++
}
return keys
}
// Len returns the number of items in the cache.
func (c *LRU) Len() int {
return c.evictList.Len()
}
// removeOldest removes the oldest item from the cache.
func (c *LRU) removeOldest() {
ent := c.evictList.Back()
if ent != nil {
c.removeElement(ent)
}
}
// removeElement is used to remove a given list element from the cache
func (c *LRU) removeElement(e *list.Element) {
c.evictList.Remove(e)
kv := e.Value.(*entry)
delete(c.items, kv.key)
if c.onEvict != nil {
c.onEvict(kv.key, kv.value)
}
}
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