```
feat(base): 添加邮箱注册码功能及用户注册接口 - 在 `sessionManager` 中新增邮件注册码缓存管理实例和相关方法 - 实现生成、保存、验证、删除邮件注册码的逻辑 - 新增 `/reg` 和 `/email` 接口用于用户注册和发送验证码 - 引入 `golang-lru` 依赖以支持限流缓存功能 - 调整包导入顺序，优化代码结构 ```
This commit is contained in:
273
common/utils/golang-lru-main/arc/arc.go
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273
common/utils/golang-lru-main/arc/arc.go
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// Copyright IBM Corp. 2014, 2025
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// SPDX-License-Identifier: MPL-2.0
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package arc
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import (
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"sync"
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"github.com/hashicorp/golang-lru/v2/simplelru"
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)
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// ARCCache is a thread-safe fixed size Adaptive Replacement Cache (ARC).
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// ARC is an enhancement over the standard LRU cache in that tracks both
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// frequency and recency of use. This avoids a burst in access to new
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// entries from evicting the frequently used older entries. It adds some
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// additional tracking overhead to a standard LRU cache, computationally
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// it is roughly 2x the cost, and the extra memory overhead is linear
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// with the size of the cache. ARC has been patented by IBM, but is
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// similar to the TwoQueueCache (2Q) which requires setting parameters.
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type ARCCache[K comparable, V any] struct {
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size int // Size is the total capacity of the cache
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p int // P is the dynamic preference towards T1 or T2
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t1 simplelru.LRUCache[K, V] // T1 is the LRU for recently accessed items
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b1 simplelru.LRUCache[K, struct{}] // B1 is the LRU for evictions from t1
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t2 simplelru.LRUCache[K, V] // T2 is the LRU for frequently accessed items
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b2 simplelru.LRUCache[K, struct{}] // B2 is the LRU for evictions from t2
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lock sync.RWMutex
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}
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// NewARC creates an ARC of the given size
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func NewARC[K comparable, V any](size int) (*ARCCache[K, V], error) {
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// Create the sub LRUs
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b1, err := simplelru.NewLRU[K, struct{}](size, nil)
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if err != nil {
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return nil, err
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}
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b2, err := simplelru.NewLRU[K, struct{}](size, nil)
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if err != nil {
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return nil, err
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}
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t1, err := simplelru.NewLRU[K, V](size, nil)
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if err != nil {
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return nil, err
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}
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t2, err := simplelru.NewLRU[K, V](size, nil)
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if err != nil {
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return nil, err
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}
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// Initialize the ARC
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c := &ARCCache[K, V]{
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size: size,
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p: 0,
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t1: t1,
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b1: b1,
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t2: t2,
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b2: b2,
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}
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return c, nil
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}
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// Get looks up a key's value from the cache.
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func (c *ARCCache[K, V]) Get(key K) (value V, ok bool) {
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c.lock.Lock()
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defer c.lock.Unlock()
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// If the value is contained in T1 (recent), then
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// promote it to T2 (frequent)
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if val, ok := c.t1.Peek(key); ok {
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c.t1.Remove(key)
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c.t2.Add(key, val)
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return val, ok
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}
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// Check if the value is contained in T2 (frequent)
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if val, ok := c.t2.Get(key); ok {
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return val, ok
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}
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// No hit
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return
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}
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// Add adds a value to the cache.
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func (c *ARCCache[K, V]) Add(key K, value V) {
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c.lock.Lock()
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defer c.lock.Unlock()
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// Check if the value is contained in T1 (recent), and potentially
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// promote it to frequent T2
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if c.t1.Contains(key) {
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c.t1.Remove(key)
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c.t2.Add(key, value)
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return
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}
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// Check if the value is already in T2 (frequent) and update it
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if c.t2.Contains(key) {
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c.t2.Add(key, value)
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return
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}
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// Check if this value was recently evicted as part of the
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// recently used list
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if c.b1.Contains(key) {
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// T1 set is too small, increase P appropriately
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delta := 1
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b1Len := c.b1.Len()
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b2Len := c.b2.Len()
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if b2Len > b1Len {
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delta = b2Len / b1Len
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}
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if c.p+delta >= c.size {
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c.p = c.size
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} else {
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c.p += delta
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}
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// Potentially need to make room in the cache
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if c.t1.Len()+c.t2.Len() >= c.size {
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c.replace(false)
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}
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// Remove from B1
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c.b1.Remove(key)
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// Add the key to the frequently used list
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c.t2.Add(key, value)
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return
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}
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// Check if this value was recently evicted as part of the
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// frequently used list
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if c.b2.Contains(key) {
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// T2 set is too small, decrease P appropriately
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delta := 1
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b1Len := c.b1.Len()
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b2Len := c.b2.Len()
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if b1Len > b2Len {
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delta = b1Len / b2Len
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}
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if delta >= c.p {
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c.p = 0
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} else {
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c.p -= delta
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}
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// Potentially need to make room in the cache
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if c.t1.Len()+c.t2.Len() >= c.size {
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c.replace(true)
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}
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// Remove from B2
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c.b2.Remove(key)
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// Add the key to the frequently used list
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c.t2.Add(key, value)
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return
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}
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// Potentially need to make room in the cache
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if c.t1.Len()+c.t2.Len() >= c.size {
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c.replace(false)
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}
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// Keep the size of the ghost buffers trim
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if c.b1.Len() > c.size-c.p {
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c.b1.RemoveOldest()
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}
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if c.b2.Len() > c.p {
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c.b2.RemoveOldest()
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}
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// Add to the recently seen list
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c.t1.Add(key, value)
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}
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// replace is used to adaptively evict from either T1 or T2
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// based on the current learned value of P
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func (c *ARCCache[K, V]) replace(b2ContainsKey bool) {
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t1Len := c.t1.Len()
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if t1Len > 0 && (t1Len > c.p || (t1Len == c.p && b2ContainsKey)) {
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k, _, ok := c.t1.RemoveOldest()
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if ok {
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c.b1.Add(k, struct{}{})
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}
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} else {
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k, _, ok := c.t2.RemoveOldest()
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if ok {
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c.b2.Add(k, struct{}{})
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}
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}
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}
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// Len returns the number of cached entries
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func (c *ARCCache[K, V]) Len() int {
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c.lock.RLock()
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defer c.lock.RUnlock()
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return c.t1.Len() + c.t2.Len()
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}
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// Cap returns the capacity of the cache
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func (c *ARCCache[K, V]) Cap() int {
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return c.size
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}
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// Keys returns all the cached keys
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func (c *ARCCache[K, V]) Keys() []K {
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c.lock.RLock()
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defer c.lock.RUnlock()
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k1 := c.t1.Keys()
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k2 := c.t2.Keys()
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return append(k1, k2...)
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}
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// Values returns all the cached values
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func (c *ARCCache[K, V]) Values() []V {
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c.lock.RLock()
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defer c.lock.RUnlock()
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v1 := c.t1.Values()
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v2 := c.t2.Values()
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return append(v1, v2...)
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}
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// Remove is used to purge a key from the cache
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func (c *ARCCache[K, V]) Remove(key K) {
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c.lock.Lock()
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defer c.lock.Unlock()
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if c.t1.Remove(key) {
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return
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}
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if c.t2.Remove(key) {
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return
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}
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if c.b1.Remove(key) {
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return
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}
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if c.b2.Remove(key) {
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return
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}
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}
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// Purge is used to clear the cache
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func (c *ARCCache[K, V]) Purge() {
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c.lock.Lock()
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defer c.lock.Unlock()
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c.t1.Purge()
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c.t2.Purge()
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c.b1.Purge()
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c.b2.Purge()
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}
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// Contains is used to check if the cache contains a key
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// without updating recency or frequency.
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func (c *ARCCache[K, V]) Contains(key K) bool {
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c.lock.RLock()
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defer c.lock.RUnlock()
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return c.t1.Contains(key) || c.t2.Contains(key)
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}
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// Peek is used to inspect the cache value of a key
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// without updating recency or frequency.
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func (c *ARCCache[K, V]) Peek(key K) (value V, ok bool) {
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c.lock.RLock()
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defer c.lock.RUnlock()
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if val, ok := c.t1.Peek(key); ok {
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return val, ok
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}
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return c.t2.Peek(key)
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}
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