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gitea/vendor/github.com/hashicorp/golang-lru/arc.go
Mura Li 19dedc3fa5
Speed up git diff highlight generation (#16180)
Co-authored-by: Mura Li <typeless@users.noreply.github.com>
Co-authored-by: 6543 <6543@obermui.de>
2021-06-17 10:55:16 -04:00

258 lines
5.6 KiB
Go
Vendored

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.LRUCache // T1 is the LRU for recently accessed items
b1 simplelru.LRUCache // B1 is the LRU for evictions from t1
t2 simplelru.LRUCache // T2 is the LRU for frequently accessed items
b2 simplelru.LRUCache // 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{}) (value interface{}, ok bool) {
c.lock.Lock()
defer c.lock.Unlock()
// If 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 frequently 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{}) (value interface{}, ok bool) {
c.lock.RLock()
defer c.lock.RUnlock()
if val, ok := c.t1.Peek(key); ok {
return val, ok
}
return c.t2.Peek(key)
}