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184 lines
4.2 KiB
184 lines
4.2 KiB
package ewma
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import (
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"container/list"
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"context"
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"math"
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"sync"
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"sync/atomic"
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"time"
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"github.com/go-kratos/kratos/v2/errors"
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"github.com/go-kratos/kratos/v2/selector"
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)
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const (
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// The mean lifetime of `cost`, it reaches its half-life after Tau*ln(2).
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tau = int64(time.Millisecond * 600)
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// if statistic not collected,we add a big lag penalty to endpoint
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penalty = uint64(time.Second * 10)
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)
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var (
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_ selector.WeightedNode = &Node{}
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_ selector.WeightedNodeBuilder = &Builder{}
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)
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// Node is endpoint instance
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type Node struct {
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selector.Node
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// client statistic data
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lag int64
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success uint64
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inflight int64
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inflights *list.List
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// last collected timestamp
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stamp int64
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predictTs int64
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predict int64
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// request number in a period time
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reqs int64
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// last lastPick timestamp
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lastPick int64
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errHandler func(err error) (isErr bool)
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lk sync.RWMutex
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}
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// Builder is ewma node builder.
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type Builder struct {
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ErrHandler func(err error) (isErr bool)
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}
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// Build create a weighted node.
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func (b *Builder) Build(n selector.Node) selector.WeightedNode {
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s := &Node{
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Node: n,
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lag: 0,
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success: 1000,
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inflight: 1,
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inflights: list.New(),
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errHandler: b.ErrHandler,
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}
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return s
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}
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func (n *Node) health() uint64 {
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return atomic.LoadUint64(&n.success)
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}
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func (n *Node) load() (load uint64) {
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now := time.Now().UnixNano()
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avgLag := atomic.LoadInt64(&n.lag)
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lastPredictTs := atomic.LoadInt64(&n.predictTs)
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predicInterval := avgLag / 5
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if predicInterval < int64(time.Millisecond*5) {
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predicInterval = int64(time.Millisecond * 5)
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} else if predicInterval > int64(time.Millisecond*200) {
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predicInterval = int64(time.Millisecond * 200)
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}
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if now-lastPredictTs > predicInterval {
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if atomic.CompareAndSwapInt64(&n.predictTs, lastPredictTs, now) {
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var (
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total int64
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count int
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predict int64
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)
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n.lk.RLock()
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first := n.inflights.Front()
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for first != nil {
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lag := now - first.Value.(int64)
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if lag > avgLag {
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count++
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total += lag
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}
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first = first.Next()
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}
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if count > (n.inflights.Len()/2 + 1) {
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predict = total / int64(count)
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}
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n.lk.RUnlock()
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atomic.StoreInt64(&n.predict, predict)
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}
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}
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if avgLag == 0 {
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// penalty是node刚启动时没有数据时的惩罚值,默认为1e9 * 10
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load = penalty * uint64(atomic.LoadInt64(&n.inflight))
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} else {
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predict := atomic.LoadInt64(&n.predict)
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if predict > avgLag {
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avgLag = predict
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}
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load = uint64(avgLag) * uint64(atomic.LoadInt64(&n.inflight))
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}
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return
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}
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// Pick pick a node.
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func (n *Node) Pick() selector.DoneFunc {
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now := time.Now().UnixNano()
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atomic.StoreInt64(&n.lastPick, now)
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atomic.AddInt64(&n.inflight, 1)
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atomic.AddInt64(&n.reqs, 1)
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n.lk.Lock()
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e := n.inflights.PushBack(now)
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n.lk.Unlock()
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return func(ctx context.Context, di selector.DoneInfo) {
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n.lk.Lock()
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n.inflights.Remove(e)
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n.lk.Unlock()
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atomic.AddInt64(&n.inflight, -1)
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now := time.Now().UnixNano()
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// get moving average ratio w
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stamp := atomic.SwapInt64(&n.stamp, now)
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td := now - stamp
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if td < 0 {
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td = 0
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}
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w := math.Exp(float64(-td) / float64(tau))
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start := e.Value.(int64)
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lag := now - start
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if lag < 0 {
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lag = 0
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}
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oldLag := atomic.LoadInt64(&n.lag)
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if oldLag == 0 {
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w = 0.0
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}
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lag = int64(float64(oldLag)*w + float64(lag)*(1.0-w))
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atomic.StoreInt64(&n.lag, lag)
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success := uint64(1000) // error value ,if error set 1
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if di.Err != nil {
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if n.errHandler != nil {
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if n.errHandler(di.Err) {
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success = 0
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}
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} else if errors.Is(context.DeadlineExceeded, di.Err) || errors.Is(context.Canceled, di.Err) ||
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errors.IsServiceUnavailable(di.Err) || errors.IsGatewayTimeout(di.Err) {
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success = 0
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}
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}
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oldSuc := atomic.LoadUint64(&n.success)
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success = uint64(float64(oldSuc)*w + float64(success)*(1.0-w))
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atomic.StoreUint64(&n.success, success)
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}
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}
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// Weight is node effective weight.
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func (n *Node) Weight() (weight float64) {
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weight = float64(n.health()*uint64(time.Second)) / float64(n.load())
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return
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}
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func (n *Node) PickElapsed() time.Duration {
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return time.Duration(time.Now().UnixNano() - atomic.LoadInt64(&n.lastPick))
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}
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func (n *Node) Raw() selector.Node {
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return n.Node
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}
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