feat: 新增 memory 包，适用于游戏数据加载到内存中并周期性持久化
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kercylan98
parent
d9b939295c
commit
ed008cf280
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@ -0,0 +1,194 @@
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package memory
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import (
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"fmt"
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"github.com/kercylan98/minotaur/utils/hash"
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"github.com/kercylan98/minotaur/utils/random"
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"github.com/kercylan98/minotaur/utils/super"
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"reflect"
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"strings"
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"sync"
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)
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var (
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running = false
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runLock sync.Mutex
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persistTickerNames = make(map[string]map[string]struct{})
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persistRun = make([]func(), 0)
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actionOutput = make(map[string][]reflect.Type)
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caches = make(map[string]map[string][]reflect.Value)
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cachesRWMutex sync.RWMutex
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)
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// Run 运行持久化缓存程序
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func Run() {
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runLock.Lock()
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defer runLock.Unlock()
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if running {
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panic(fmt.Errorf("can not run persist cache program twice"))
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}
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running = true
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for _, f := range persistRun {
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f()
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}
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persistRun = nil
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}
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// BindPersistCacheProgram 绑定持久化缓存程序
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// - name 持久化缓存程序名称
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// - handler 持久化缓存程序处理函数
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// - option 持久化缓存程序选项
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//
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// 注意事项：
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// - 持久化程序建议声明为全局变量进行使用
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// - 持久化程序处理函数参数类型必须与绑定的缓存程序输出参数类型一致，并且相同 name 的持久化程序必须在 BindAction 之后进行绑定
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// - 默认情况下只有执行该函数返回的函数才会进行持久化，如果需要持久化策略，可以设置 option 参数或者自行实现策略调用返回的函数
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// - 所有持久化程序绑定完成后，应该主动调用 Run 函数运行
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func BindPersistCacheProgram[OutputParamHandlerFunc any](name string, handler OutputParamHandlerFunc, option ...*Option) func() {
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runLock.Lock()
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defer runLock.Unlock()
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if running {
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panic(fmt.Errorf("can not bind persist cache program after running"))
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}
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v := reflect.ValueOf(handler)
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if v.Kind() != reflect.Func {
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panic("handle is not a function")
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}
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outputs, exist := actionOutput[name]
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if !exist {
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panic(fmt.Errorf("action %s not exist", name))
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}
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if len(outputs) != v.Type().NumIn() {
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panic(fmt.Errorf("action %s output params count %d not equal handler input params count %d", name, len(outputs), v.Type().NumIn()))
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}
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for i := 0; i < v.Type().NumIn(); i++ {
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if outputs[i] != v.Type().In(i) {
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panic(fmt.Errorf("action %s output param %d type %s not equal handler input param %d type %s", name, i, outputs[i].String(), i, v.Type().In(i).String()))
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}
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}
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persist := reflect.MakeFunc(v.Type(), func(args []reflect.Value) []reflect.Value {
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results := v.Call(args)
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return results
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})
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executor := func() {
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cachesRWMutex.RLock()
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funcCache, exist := caches[name]
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if !exist {
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cachesRWMutex.RUnlock()
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return
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}
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funcCache = hash.Copy(funcCache)
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cachesRWMutex.RUnlock()
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for _, results := range funcCache {
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persist.Call(results)
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}
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}
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var opt *Option
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if len(option) > 0 {
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opt = option[0]
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}
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if opt != nil {
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if opt.ticker == nil {
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panic(fmt.Errorf("option ticker is nil"))
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}
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var loopName = fmt.Sprintf("periodic_persistence:%d:%s:%s", len(persistTickerNames[name]), name, random.HostName())
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if _, exist := persistTickerNames[name]; !exist {
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persistTickerNames[name] = make(map[string]struct{})
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}
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persistTickerNames[name][loopName] = struct{}{}
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var after = super.If(opt.firstDelay == 0, opt.interval, opt.firstDelay)
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if opt.delay > 0 {
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executor = func() {
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cachesRWMutex.RLock()
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funcCache, exist := caches[name]
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if !exist {
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cachesRWMutex.RUnlock()
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return
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}
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funcCache = hash.Copy(funcCache)
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cachesRWMutex.RUnlock()
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delay := opt.delay
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tick := delay
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for actionId, c := range funcCache {
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opt.ticker.After(fmt.Sprintf("%s:%v", loopName, actionId), tick, func(c []reflect.Value) {
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persist.Call(c)
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}, c)
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tick += delay
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}
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}
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}
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persistRun = append(persistRun, func() {
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opt.ticker.Loop("periodic_persistence", after, opt.interval, -1, executor)
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})
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}
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return executor
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}
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// BindAction 绑定需要缓存的操作函数
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// - name 缓存操作名称
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// - handler 缓存操作处理函数
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//
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// 注意事项：
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// - 关于持久化缓存程序的绑定请参考 BindPersistCacheProgram
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// - handler 函数的返回值将被作为缓存目标，如果返回值为非指针类型，将可能会发生意外的情况
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// - 当传入的 handler 没有任何返回值时，将不会被缓存，并且不会占用缓存操作名称
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//
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// 使用场景：
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// - 例如在游戏中，需要根据玩家 ID 查询玩家信息，可以使用该函数进行绑定，当查询玩家信息时，如果缓存中存在该玩家信息，将直接返回缓存中的数据，否则将执行 handler 函数进行查询并缓存
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func BindAction[Func any](name string, handler Func) Func {
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v := reflect.ValueOf(handler)
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if v.Kind() != reflect.Func {
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panic(fmt.Errorf("handle is not a function"))
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}
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if v.Type().NumOut() == 0 {
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return handler
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}
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if _, exist := actionOutput[name]; exist {
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panic(fmt.Errorf("action %s already exist", name))
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}
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outputs := make([]reflect.Type, 0, v.Type().NumOut())
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for i := 0; i < v.Type().NumOut(); i++ {
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outputs = append(outputs, v.Type().Out(i))
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}
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actionOutput[name] = outputs
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return reflect.MakeFunc(v.Type(), func(args []reflect.Value) []reflect.Value {
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argsKeys := make([]string, 0, len(args))
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for i, arg := range args {
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argsKeys = append(argsKeys, fmt.Sprintf("%d:%s:%v", i, arg.Type().String(), arg))
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}
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argsKey := strings.Join(argsKeys, ":")
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cachesRWMutex.RLock()
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cache, exist := caches[name][argsKey]
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if exist {
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cachesRWMutex.RUnlock()
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return cache
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}
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cachesRWMutex.RUnlock()
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results := v.Call(args)
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cachesRWMutex.Lock()
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defer cachesRWMutex.Unlock()
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funcCache, exist := caches[name]
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if !exist {
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funcCache = make(map[string][]reflect.Value)
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caches[name] = funcCache
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}
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cache, exist = funcCache[argsKey]
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if !exist {
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funcCache[argsKey] = results
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}
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return results
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}).Interface().(Func)
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}
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@ -0,0 +1,41 @@
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package memory_test
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import (
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"fmt"
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"github.com/kercylan98/minotaur/utils/memory"
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"github.com/kercylan98/minotaur/utils/timer"
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"github.com/kercylan98/minotaur/utils/times"
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"testing"
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"time"
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)
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type Player struct {
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ID int64
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Name string
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Account string
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Password string
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}
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var (
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QueryPlayer = memory.BindAction("QueryPlayer", func(playerId int64) *Player {
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return &Player{ID: playerId}
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})
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QueryPlayerPersist = memory.BindPersistCacheProgram("QueryPlayer", func(player *Player) {
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fmt.Println(player)
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}, memory.NewOption().WithPeriodicity(timer.GetTicker(10), timer.Instantly, time.Second*10, time.Second))
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)
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func TestBindAction(t *testing.T) {
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var player *Player
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player = QueryPlayer(1)
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fmt.Println(player.ID)
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player.ID = 666
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player = QueryPlayer(1)
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fmt.Println(player.ID)
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player = QueryPlayer(2)
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fmt.Println(player.ID)
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QueryPlayerPersist()
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time.Sleep(times.Week)
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}
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@ -0,0 +1,33 @@
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package memory
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import (
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"github.com/kercylan98/minotaur/utils/timer"
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"time"
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)
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func NewOption() *Option {
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return new(Option)
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}
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type Option struct {
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ticker *timer.Ticker
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firstDelay time.Duration // 首次持久化延迟
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interval time.Duration // 持久化间隔
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delay time.Duration // 每条数据持久化间隔
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}
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// WithPeriodicity 设置持久化周期
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// - ticker 定时器，通常建议使用服务器的定时器，这样可以降低多线程的程序复杂性
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// - firstDelay 首次持久化延迟，当首次持久化为 0 时，将会在下一个持久化周期开始时持久化
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// - interval 持久化间隔
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// - delay 每条数据持久化间隔，适当的设置该值可以使持久化期间尽量降低对用户体验的影响，如果为0，将会一次性持久化所有数据
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func (slf *Option) WithPeriodicity(ticker *timer.Ticker, firstDelay, interval, delay time.Duration) *Option {
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if interval <= 0 {
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panic("interval must be greater than 0")
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}
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slf.ticker = ticker
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slf.firstDelay = firstDelay
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slf.interval = interval
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slf.delay = delay
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return slf
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}
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