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| 1 | +// Copyright (c) HashiCorp, Inc. |
| 2 | +// SPDX-License-Identifier: MPL-2.0 |
| 3 | + |
| 4 | +package arc |
| 5 | + |
| 6 | +import ( |
| 7 | + "sync" |
| 8 | + |
| 9 | + "github.com/hashicorp/golang-lru/v2/simplelru" |
| 10 | +) |
| 11 | + |
| 12 | +// ARCCache is a thread-safe fixed size Adaptive Replacement Cache (ARC). |
| 13 | +// ARC is an enhancement over the standard LRU cache in that tracks both |
| 14 | +// frequency and recency of use. This avoids a burst in access to new |
| 15 | +// entries from evicting the frequently used older entries. It adds some |
| 16 | +// additional tracking overhead to a standard LRU cache, computationally |
| 17 | +// it is roughly 2x the cost, and the extra memory overhead is linear |
| 18 | +// with the size of the cache. ARC has been patented by IBM, but is |
| 19 | +// similar to the TwoQueueCache (2Q) which requires setting parameters. |
| 20 | +type ARCCache[K comparable, V any] struct { |
| 21 | + size int // Size is the total capacity of the cache |
| 22 | + p int // P is the dynamic preference towards T1 or T2 |
| 23 | + |
| 24 | + t1 simplelru.LRUCache[K, V] // T1 is the LRU for recently accessed items |
| 25 | + b1 simplelru.LRUCache[K, struct{}] // B1 is the LRU for evictions from t1 |
| 26 | + |
| 27 | + t2 simplelru.LRUCache[K, V] // T2 is the LRU for frequently accessed items |
| 28 | + b2 simplelru.LRUCache[K, struct{}] // B2 is the LRU for evictions from t2 |
| 29 | + |
| 30 | + lock sync.RWMutex |
| 31 | +} |
| 32 | + |
| 33 | +// NewARC creates an ARC of the given size |
| 34 | +func NewARC[K comparable, V any](size int) (*ARCCache[K, V], error) { |
| 35 | + // Create the sub LRUs |
| 36 | + b1, err := simplelru.NewLRU[K, struct{}](size, nil) |
| 37 | + if err != nil { |
| 38 | + return nil, err |
| 39 | + } |
| 40 | + b2, err := simplelru.NewLRU[K, struct{}](size, nil) |
| 41 | + if err != nil { |
| 42 | + return nil, err |
| 43 | + } |
| 44 | + t1, err := simplelru.NewLRU[K, V](size, nil) |
| 45 | + if err != nil { |
| 46 | + return nil, err |
| 47 | + } |
| 48 | + t2, err := simplelru.NewLRU[K, V](size, nil) |
| 49 | + if err != nil { |
| 50 | + return nil, err |
| 51 | + } |
| 52 | + |
| 53 | + // Initialize the ARC |
| 54 | + c := &ARCCache[K, V]{ |
| 55 | + size: size, |
| 56 | + p: 0, |
| 57 | + t1: t1, |
| 58 | + b1: b1, |
| 59 | + t2: t2, |
| 60 | + b2: b2, |
| 61 | + } |
| 62 | + return c, nil |
| 63 | +} |
| 64 | + |
| 65 | +// Get looks up a key's value from the cache. |
| 66 | +func (c *ARCCache[K, V]) Get(key K) (value V, ok bool) { |
| 67 | + c.lock.Lock() |
| 68 | + defer c.lock.Unlock() |
| 69 | + |
| 70 | + // If the value is contained in T1 (recent), then |
| 71 | + // promote it to T2 (frequent) |
| 72 | + if val, ok := c.t1.Peek(key); ok { |
| 73 | + c.t1.Remove(key) |
| 74 | + c.t2.Add(key, val) |
| 75 | + return val, ok |
| 76 | + } |
| 77 | + |
| 78 | + // Check if the value is contained in T2 (frequent) |
| 79 | + if val, ok := c.t2.Get(key); ok { |
| 80 | + return val, ok |
| 81 | + } |
| 82 | + |
| 83 | + // No hit |
| 84 | + return |
| 85 | +} |
| 86 | + |
| 87 | +// Add adds a value to the cache. |
| 88 | +func (c *ARCCache[K, V]) Add(key K, value V) { |
| 89 | + c.lock.Lock() |
| 90 | + defer c.lock.Unlock() |
| 91 | + |
| 92 | + // Check if the value is contained in T1 (recent), and potentially |
| 93 | + // promote it to frequent T2 |
| 94 | + if c.t1.Contains(key) { |
| 95 | + c.t1.Remove(key) |
| 96 | + c.t2.Add(key, value) |
| 97 | + return |
| 98 | + } |
| 99 | + |
| 100 | + // Check if the value is already in T2 (frequent) and update it |
| 101 | + if c.t2.Contains(key) { |
| 102 | + c.t2.Add(key, value) |
| 103 | + return |
| 104 | + } |
| 105 | + |
| 106 | + // Check if this value was recently evicted as part of the |
| 107 | + // recently used list |
| 108 | + if c.b1.Contains(key) { |
| 109 | + // T1 set is too small, increase P appropriately |
| 110 | + delta := 1 |
| 111 | + b1Len := c.b1.Len() |
| 112 | + b2Len := c.b2.Len() |
| 113 | + if b2Len > b1Len { |
| 114 | + delta = b2Len / b1Len |
| 115 | + } |
| 116 | + if c.p+delta >= c.size { |
| 117 | + c.p = c.size |
| 118 | + } else { |
| 119 | + c.p += delta |
| 120 | + } |
| 121 | + |
| 122 | + // Potentially need to make room in the cache |
| 123 | + if c.t1.Len()+c.t2.Len() >= c.size { |
| 124 | + c.replace(false) |
| 125 | + } |
| 126 | + |
| 127 | + // Remove from B1 |
| 128 | + c.b1.Remove(key) |
| 129 | + |
| 130 | + // Add the key to the frequently used list |
| 131 | + c.t2.Add(key, value) |
| 132 | + return |
| 133 | + } |
| 134 | + |
| 135 | + // Check if this value was recently evicted as part of the |
| 136 | + // frequently used list |
| 137 | + if c.b2.Contains(key) { |
| 138 | + // T2 set is too small, decrease P appropriately |
| 139 | + delta := 1 |
| 140 | + b1Len := c.b1.Len() |
| 141 | + b2Len := c.b2.Len() |
| 142 | + if b1Len > b2Len { |
| 143 | + delta = b1Len / b2Len |
| 144 | + } |
| 145 | + if delta >= c.p { |
| 146 | + c.p = 0 |
| 147 | + } else { |
| 148 | + c.p -= delta |
| 149 | + } |
| 150 | + |
| 151 | + // Potentially need to make room in the cache |
| 152 | + if c.t1.Len()+c.t2.Len() >= c.size { |
| 153 | + c.replace(true) |
| 154 | + } |
| 155 | + |
| 156 | + // Remove from B2 |
| 157 | + c.b2.Remove(key) |
| 158 | + |
| 159 | + // Add the key to the frequently used list |
| 160 | + c.t2.Add(key, value) |
| 161 | + return |
| 162 | + } |
| 163 | + |
| 164 | + // Potentially need to make room in the cache |
| 165 | + if c.t1.Len()+c.t2.Len() >= c.size { |
| 166 | + c.replace(false) |
| 167 | + } |
| 168 | + |
| 169 | + // Keep the size of the ghost buffers trim |
| 170 | + if c.b1.Len() > c.size-c.p { |
| 171 | + c.b1.RemoveOldest() |
| 172 | + } |
| 173 | + if c.b2.Len() > c.p { |
| 174 | + c.b2.RemoveOldest() |
| 175 | + } |
| 176 | + |
| 177 | + // Add to the recently seen list |
| 178 | + c.t1.Add(key, value) |
| 179 | +} |
| 180 | + |
| 181 | +// replace is used to adaptively evict from either T1 or T2 |
| 182 | +// based on the current learned value of P |
| 183 | +func (c *ARCCache[K, V]) replace(b2ContainsKey bool) { |
| 184 | + t1Len := c.t1.Len() |
| 185 | + if t1Len > 0 && (t1Len > c.p || (t1Len == c.p && b2ContainsKey)) { |
| 186 | + k, _, ok := c.t1.RemoveOldest() |
| 187 | + if ok { |
| 188 | + c.b1.Add(k, struct{}{}) |
| 189 | + } |
| 190 | + } else { |
| 191 | + k, _, ok := c.t2.RemoveOldest() |
| 192 | + if ok { |
| 193 | + c.b2.Add(k, struct{}{}) |
| 194 | + } |
| 195 | + } |
| 196 | +} |
| 197 | + |
| 198 | +// Len returns the number of cached entries |
| 199 | +func (c *ARCCache[K, V]) Len() int { |
| 200 | + c.lock.RLock() |
| 201 | + defer c.lock.RUnlock() |
| 202 | + return c.t1.Len() + c.t2.Len() |
| 203 | +} |
| 204 | + |
| 205 | +// Keys returns all the cached keys |
| 206 | +func (c *ARCCache[K, V]) Keys() []K { |
| 207 | + c.lock.RLock() |
| 208 | + defer c.lock.RUnlock() |
| 209 | + k1 := c.t1.Keys() |
| 210 | + k2 := c.t2.Keys() |
| 211 | + return append(k1, k2...) |
| 212 | +} |
| 213 | + |
| 214 | +// Values returns all the cached values |
| 215 | +func (c *ARCCache[K, V]) Values() []V { |
| 216 | + c.lock.RLock() |
| 217 | + defer c.lock.RUnlock() |
| 218 | + v1 := c.t1.Values() |
| 219 | + v2 := c.t2.Values() |
| 220 | + return append(v1, v2...) |
| 221 | +} |
| 222 | + |
| 223 | +// Remove is used to purge a key from the cache |
| 224 | +func (c *ARCCache[K, V]) Remove(key K) { |
| 225 | + c.lock.Lock() |
| 226 | + defer c.lock.Unlock() |
| 227 | + if c.t1.Remove(key) { |
| 228 | + return |
| 229 | + } |
| 230 | + if c.t2.Remove(key) { |
| 231 | + return |
| 232 | + } |
| 233 | + if c.b1.Remove(key) { |
| 234 | + return |
| 235 | + } |
| 236 | + if c.b2.Remove(key) { |
| 237 | + return |
| 238 | + } |
| 239 | +} |
| 240 | + |
| 241 | +// Purge is used to clear the cache |
| 242 | +func (c *ARCCache[K, V]) Purge() { |
| 243 | + c.lock.Lock() |
| 244 | + defer c.lock.Unlock() |
| 245 | + c.t1.Purge() |
| 246 | + c.t2.Purge() |
| 247 | + c.b1.Purge() |
| 248 | + c.b2.Purge() |
| 249 | +} |
| 250 | + |
| 251 | +// Contains is used to check if the cache contains a key |
| 252 | +// without updating recency or frequency. |
| 253 | +func (c *ARCCache[K, V]) Contains(key K) bool { |
| 254 | + c.lock.RLock() |
| 255 | + defer c.lock.RUnlock() |
| 256 | + return c.t1.Contains(key) || c.t2.Contains(key) |
| 257 | +} |
| 258 | + |
| 259 | +// Peek is used to inspect the cache value of a key |
| 260 | +// without updating recency or frequency. |
| 261 | +func (c *ARCCache[K, V]) Peek(key K) (value V, ok bool) { |
| 262 | + c.lock.RLock() |
| 263 | + defer c.lock.RUnlock() |
| 264 | + if val, ok := c.t1.Peek(key); ok { |
| 265 | + return val, ok |
| 266 | + } |
| 267 | + return c.t2.Peek(key) |
| 268 | +} |
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