432 lines
9.6 KiB
Go
432 lines
9.6 KiB
Go
package rest
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import (
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"errors"
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"fmt"
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"log"
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"sort"
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"sync"
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"time"
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)
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//缓存项
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//主要借鉴了cache2go https://github.com/muesli/cache2go
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type CacheItem struct {
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sync.RWMutex //读写锁
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//缓存键
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key interface{}
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//缓存值
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data interface{}
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// 缓存项的生命期
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duration time.Duration
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//创建时间
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createTime time.Time
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//最后访问时间
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accessTime time.Time
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//访问次数
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count int64
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// 在删除缓存项之前调用的回调函数
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deleteCallback func(key interface{})
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}
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//新建一项缓存
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func NewCacheItem(key interface{}, duration time.Duration, data interface{}) *CacheItem {
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t := time.Now()
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return &CacheItem{
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key: key,
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duration: duration,
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createTime: t,
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accessTime: t,
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count: 0,
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deleteCallback: nil,
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data: data,
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}
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}
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//手动获取一下,保持该项
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func (item *CacheItem) KeepAlive() {
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item.Lock()
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defer item.Unlock()
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item.accessTime = time.Now()
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item.count++
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}
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//返回生命周期
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func (item *CacheItem) Duration() time.Duration {
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return item.duration
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}
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//返回访问时间。可能并发,加锁
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func (item *CacheItem) AccessTime() time.Time {
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item.RLock()
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defer item.RUnlock()
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return item.accessTime
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}
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//返回创建时间
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func (item *CacheItem) CreateTime() time.Time {
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return item.createTime
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}
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//返回访问时间。可能并发,加锁
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func (item *CacheItem) Count() int64 {
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item.RLock()
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defer item.RUnlock()
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return item.count
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}
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//返回key值
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func (item *CacheItem) Key() interface{} {
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return item.key
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}
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//返回数据
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func (item *CacheItem) Data() interface{} {
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return item.data
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}
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//设置回调函数
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func (item *CacheItem) SetDeleteCallback(f func(interface{})) {
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item.Lock()
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defer item.Unlock()
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item.deleteCallback = f
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}
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// 统一管理缓存项的表
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type CacheTable struct {
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sync.RWMutex
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//缓存表名
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name string
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//所有缓存项
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items map[interface{}]*CacheItem
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// 触发缓存清理的定时器
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cleanupTimer *time.Timer
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// 缓存清理周期
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cleanupInterval time.Duration
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// 该缓存表的日志
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logger *log.Logger
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// 获取一个不存在的缓存项时的回调函数
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loadData func(key interface{}, args ...interface{}) *CacheItem
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// 向缓存表增加缓存项时的回调函数
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addedCallback func(item *CacheItem)
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// 从缓存表删除一个缓存项时的回调函数
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deleteCallback func(item *CacheItem)
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}
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// 返回缓存中存储有多少项
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func (table *CacheTable) Count() int {
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table.RLock()
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defer table.RUnlock()
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return len(table.items)
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}
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// 遍历所有项
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func (table *CacheTable) Foreach(trans func(key interface{}, item *CacheItem)) {
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table.RLock()
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defer table.RUnlock()
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for k, v := range table.items {
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trans(k, v)
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}
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}
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// SetDataLoader配置一个数据加载的回调,当尝试去请求一个不存在的key的时候调用
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func (table *CacheTable) SetDataLoader(f func(interface{}, ...interface{}) *CacheItem) {
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table.Lock()
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defer table.Unlock()
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table.loadData = f
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}
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// 添加时的回调函数
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func (table *CacheTable) SetAddedCallback(f func(*CacheItem)) {
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table.Lock()
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defer table.Unlock()
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table.addedCallback = f
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}
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// 删除时的回调函数
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func (table *CacheTable) SetDeleteCallback(f func(*CacheItem)) {
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table.Lock()
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defer table.Unlock()
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table.deleteCallback = f
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}
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// 设置缓存表需要使用的log
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func (table *CacheTable) SetLogger(logger *log.Logger) {
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table.Lock()
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defer table.Unlock()
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table.logger = logger
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}
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//终结检查,被自调整的时间触发
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func (table *CacheTable) checkExpire() {
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table.Lock()
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if table.cleanupTimer != nil {
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table.cleanupTimer.Stop()
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}
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if table.cleanupInterval > 0 {
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table.log("Expiration check triggered after", table.cleanupInterval, "for table", table.name)
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} else {
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table.log("Expiration check installed for table", table.name)
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}
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// 为了不抢占锁,采用临时的items.
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items := table.items
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table.Unlock()
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//为了定时器更准确,我们需要在每一个循环中更新‘now’,不确定是否是有效率的。
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now := time.Now()
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smallestDuration := 0 * time.Second
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for key, item := range items {
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// 取出我们需要的东西,为了不抢占锁
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item.RLock()
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duration := item.duration
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accessTime := item.accessTime
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item.RUnlock()
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// 0永久有效
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if duration == 0 {
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continue
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}
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if now.Sub(accessTime) >= duration {
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//缓存项已经过期
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_, e := table.Delete(key)
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if e != nil {
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table.log("删除缓存项时出错 ", e.Error())
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}
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} else {
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//查找最靠近结束生命周期的项目
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if smallestDuration == 0 || duration-now.Sub(accessTime) < smallestDuration {
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smallestDuration = duration - now.Sub(accessTime)
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}
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}
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}
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// 为下次清理设置间隔,自触发机制
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table.Lock()
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table.cleanupInterval = smallestDuration
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if smallestDuration > 0 {
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table.cleanupTimer = time.AfterFunc(smallestDuration, func() {
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go table.checkExpire()
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})
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}
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table.Unlock()
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}
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// 添加缓存项
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func (table *CacheTable) Add(key interface{}, duration time.Duration, data interface{}) *CacheItem {
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item := NewCacheItem(key, duration, data)
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// 将缓存项放入表中
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table.Lock()
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table.log("Adding item with key", key, "and lifespan of", duration, "to table", table.name)
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table.items[key] = item
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// 取出需要的东西,释放锁
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expDur := table.cleanupInterval
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addedItem := table.addedCallback
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table.Unlock()
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// 有回调函数便执行回调
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if addedItem != nil {
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addedItem(item)
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}
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// 如果我们没有设置任何心跳检查定时器或者找一个即将迫近的项目
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if duration > 0 && (expDur == 0 || duration < expDur) {
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table.checkExpire()
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}
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return item
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}
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// 从缓存中删除项
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func (table *CacheTable) Delete(key interface{}) (*CacheItem, error) {
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table.RLock()
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r, ok := table.items[key]
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if !ok {
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table.RUnlock()
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return nil, errors.New(fmt.Sprintf("没有找到%s对应的记录", key))
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}
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// 取出要用到的东西,释放锁
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deleteCallback := table.deleteCallback
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table.RUnlock()
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// 调用删除回调函数
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if deleteCallback != nil {
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deleteCallback(r)
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}
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r.RLock()
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defer r.RUnlock()
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if r.deleteCallback != nil {
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r.deleteCallback(key)
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}
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table.Lock()
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defer table.Unlock()
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table.log("Deleting item with key", key, "created on", r.createTime, "and hit", r.count, "times from table", table.name)
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delete(table.items, key)
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return r, nil
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}
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//单纯的检查某个键是否存在
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func (table *CacheTable) Exists(key interface{}) bool {
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table.RLock()
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defer table.RUnlock()
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_, ok := table.items[key]
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return ok
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}
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//如果存在,返回false. 如果不存在,就去添加一个键,并且返回true
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func (table *CacheTable) NotFoundAdd(key interface{}, lifeSpan time.Duration, data interface{}) bool {
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table.Lock()
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if _, ok := table.items[key]; ok {
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table.Unlock()
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return false
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}
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item := NewCacheItem(key, lifeSpan, data)
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table.log("Adding item with key", key, "and lifespan of", lifeSpan, "to table", table.name)
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table.items[key] = item
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// 取出需要的内容,释放锁
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expDur := table.cleanupInterval
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addedItem := table.addedCallback
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table.Unlock()
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// 添加回调函数
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if addedItem != nil {
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addedItem(item)
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}
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// 触发过期检查
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if lifeSpan > 0 && (expDur == 0 || lifeSpan < expDur) {
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table.checkExpire()
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}
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return true
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}
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//从缓存中返回一个被标记的并保持活性的值。你可以传附件的参数到DataLoader回调函数
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func (table *CacheTable) Value(key interface{}, args ...interface{}) (*CacheItem, error) {
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table.RLock()
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r, ok := table.items[key]
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loadData := table.loadData
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table.RUnlock()
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if ok {
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// 更新访问次数和访问时间
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r.KeepAlive()
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return r, nil
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}
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// 有加载数据的方式,就通过loadData函数去加载进来
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if loadData != nil {
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item := loadData(key, args...)
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if item != nil {
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table.Add(key, item.duration, item.data)
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return item, nil
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}
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return nil, errors.New("无法加载到缓存值")
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}
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return nil, errors.New(fmt.Sprintf("没有找到%s对应的记录", key))
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}
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// 删除缓存表中的所有项目
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func (table *CacheTable) Flush() {
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table.Lock()
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defer table.Unlock()
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table.log("Flushing table", table.name)
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table.items = make(map[interface{}]*CacheItem)
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table.cleanupInterval = 0
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if table.cleanupTimer != nil {
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table.cleanupTimer.Stop()
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}
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}
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//辅助table中排序,统计的
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type CacheItemPair struct {
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Key interface{}
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AccessCount int64
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}
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type CacheItemPairList []CacheItemPair
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func (p CacheItemPairList) Swap(i, j int) { p[i], p[j] = p[j], p[i] }
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func (p CacheItemPairList) Len() int { return len(p) }
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func (p CacheItemPairList) Less(i, j int) bool { return p[i].AccessCount > p[j].AccessCount }
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// 返回缓存表中被访问最多的项目
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func (table *CacheTable) MostAccessed(count int64) []*CacheItem {
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table.RLock()
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defer table.RUnlock()
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p := make(CacheItemPairList, len(table.items))
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i := 0
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for k, v := range table.items {
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p[i] = CacheItemPair{k, v.count}
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i++
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}
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sort.Sort(p)
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var r []*CacheItem
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c := int64(0)
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for _, v := range p {
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if c >= count {
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break
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}
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item, ok := table.items[v.Key]
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if ok {
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r = append(r, item)
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}
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c++
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}
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return r
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}
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// 打印日志
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func (table *CacheTable) log(v ...interface{}) {
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if table.logger == nil {
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fmt.Println(v...)
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return
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}
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table.logger.Println(v...)
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}
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var (
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cacheTableMap = make(map[string]*CacheTable)
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cacheTableMutex sync.RWMutex
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)
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//统一管理所有的缓存表,如果没有就返回一个新的。
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func Cache(table string) *CacheTable {
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cacheTableMutex.RLock()
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t, ok := cacheTableMap[table]
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cacheTableMutex.RUnlock()
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if !ok {
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t = &CacheTable{
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name: table,
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items: make(map[interface{}]*CacheItem),
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}
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cacheTableMutex.Lock()
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cacheTableMap[table] = t
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cacheTableMutex.Unlock()
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}
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return t
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}
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