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在开发高并发系统时,有三把利器用来保护系统:缓存、降级和限流。那么何为限流呢?顾名思义,限流就是限制流量,就像你宽带包了1个G的流量,用完了就没了。

简单的并发控制

利用 channel 的缓冲设定,我们就可以来实现并发的限制。我们只要在执行并发的同时,往一个带有缓冲的 channel 里写入点东西(随便写啥,内容不重要)。让并发的 goroutine在执行完成后把这个 channel 里的东西给读走。这样整个并发的数量就讲控制在这个 channel的缓冲区大小上。

比如我们可以用一个 bool 类型的带缓冲 channel 作为并发限制的计数器。

chLimit := make(chan bool, 1)

然后在并发执行的地方,每创建一个新的 goroutine,都往 chLimit 里塞个东西。

for i, sleeptime := range input {
  chs[i] = make(chan string, 1)
  chLimit <- true
  go limitFunc(chLimit, chs[i], i, sleeptime, timeout)
}

这里通过 go 关键字并发执行的是新构造的函数。他在执行完后,会把 chLimit的缓冲区里给消费掉一个。

limitFunc := func(chLimit chan bool, ch chan string, task_id, sleeptime, timeout int) {
  Run(task_id, sleeptime, timeout, ch)
  <-chLimit
}

这样一来,当创建的 goroutine 数量到达 chLimit 的缓冲区上限后。主 goroutine 就挂起阻塞了,直到这些 goroutine 执行完毕,消费掉了 chLimit 缓冲区中的数据,程序才会继续创建新的 goroutine 。我们并发数量限制的目的也就达到了。

例子

package main
 
import (
  "fmt"
  "time"
)
 
func Run(task_id, sleeptime, timeout int, ch chan string) {
  ch_run := make(chan string)
  go run(task_id, sleeptime, ch_run)
  select {
  case re := <-ch_run:
    ch <- re
  case <-time.After(time.Duration(timeout) * time.Second):
    re := fmt.Sprintf("task id %d , timeout", task_id)
    ch <- re
  }
}
 
func run(task_id, sleeptime int, ch chan string) {
 
  time.Sleep(time.Duration(sleeptime) * time.Second)
  ch <- fmt.Sprintf("task id %d , sleep %d second", task_id, sleeptime)
  return
}
 
func main() {
  input := []int{3, 2, 1}
  timeout := 2
  chLimit := make(chan bool, 1)
  chs := make([]chan string, len(input))
  limitFunc := func(chLimit chan bool, ch chan string, task_id, sleeptime, timeout int) {
    Run(task_id, sleeptime, timeout, ch)
    <-chLimit
  }
  startTime := time.Now()
  fmt.Println("Multirun start")
  for i, sleeptime := range input {
    chs[i] = make(chan string, 1)
    chLimit <- true
    go limitFunc(chLimit, chs[i], i, sleeptime, timeout)
  }
 
  for _, ch := range chs {
    fmt.Println(<-ch)
  }
  endTime := time.Now()
  fmt.Printf("Multissh finished. Process time %s. Number of task is %d", endTime.Sub(startTime), len(input))
}

运行结果:

Multirun start
     task id 0 , timeout
     task id 1 , timeout
     task id 2 , sleep 1 second
     Multissh finished. Process time 5s. Number of task is 3

如果修改并发限制为2:

chLimit := make(chan bool, 2)

运行结果:

Multirun start
    task id 0 , timeout
    task id 1 , timeout
    task id 2 , sleep 1 second
    Multissh finished. Process time 3s. Number of task is 3

使用计数器实现请求限流

限流的要求是在指定的时间间隔内,server 最多只能服务指定数量的请求。实现的原理是我们启动一个计数器,每次服务请求会把计数器加一,同时到达指定的时间间隔后会把计数器清零;这个计数器的实现代码如下所示:

type RequestLimitService struct {
  Interval time.Duration
  MaxCount int
  Lock   sync.Mutex
  ReqCount int
}
 
func NewRequestLimitService(interval time.Duration, maxCnt int) *RequestLimitService {
  reqLimit := &RequestLimitService{
    Interval: interval,
    MaxCount: maxCnt,
  }
 
  go func() {
    ticker := time.NewTicker(interval)
    for {
      <-ticker.C
      reqLimit.Lock.Lock()
      fmt.Println("Reset Count...")
      reqLimit.ReqCount = 0
      reqLimit.Lock.Unlock()
    }
  }()
 
  return reqLimit
}
 
func (reqLimit *RequestLimitService) Increase() {
  reqLimit.Lock.Lock()
  defer reqLimit.Lock.Unlock()
 
  reqLimit.ReqCount += 1
}
 
func (reqLimit *RequestLimitService) IsAvailable() bool {
  reqLimit.Lock.Lock()
  defer reqLimit.Lock.Unlock()
 
  return reqLimit.ReqCount < reqLimit.MaxCount
}

在服务请求的时候, 我们会对当前计数器和阈值进行比较,只有未超过阈值时才进行服务:

var RequestLimit = NewRequestLimitService(10 * time.Second, 5)
 
func helloHandler(w http.ResponseWriter, r *http.Request) {
  if RequestLimit.IsAvailable() {
    RequestLimit.Increase()
    fmt.Println(RequestLimit.ReqCount)
    io.WriteString(w, "Hello world!\n")
  } else {
    fmt.Println("Reach request limiting!")
    io.WriteString(w, "Reach request limit!\n")
  }
}
 
func main() {
  fmt.Println("Server Started!")
  http.HandleFunc("/", helloHandler)
  http.ListenAndServe(":8000", nil)
}

完整代码 url

使用golang官方包实现httpserver频率限制

使用golang来编写httpserver时,可以使用官方已经有实现好的包:

import(
  "fmt"
  "net"
  "golang.org/x/net/netutil"
)
 
func main() {
  l, err := net.Listen("tcp", "127.0.0.1:0")
  if err != nil {
    fmt.Fatalf("Listen: %v", err)
  }
  defer l.Close()
  l = LimitListener(l, max)
  
  http.Serve(l, http.HandlerFunc())
  
  //bla bla bla.................
}

源码[url] ( https://github.com/golang/net/blob/master/netutil/listen.go ),基本思路就是为连接数计数,通过make chan来建立一个最大连接数的channel, 每次accept就+1,close时候就-1. 当到达最大连接数时,就等待空闲连接出来之后再accept。

// Copyright 2013 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
 
// Package netutil provides network utility functions, complementing the more
// common ones in the net package.
package netutil // import "golang.org/x/net/netutil"
 
import (
  "net"
  "sync"
)
 
// LimitListener returns a Listener that accepts at most n simultaneous
// connections from the provided Listener.
func LimitListener(l net.Listener, n int) net.Listener {
  return &limitListener{
    Listener: l,
    sem:   make(chan struct{}, n),
    done:   make(chan struct{}),
  }
}
 
type limitListener struct {
  net.Listener
  sem    chan struct{}
  closeOnce sync.Once   // ensures the done chan is only closed once
  done   chan struct{} // no values sent; closed when Close is called
}
 
// acquire acquires the limiting semaphore. Returns true if successfully
// accquired, false if the listener is closed and the semaphore is not
// acquired.
func (l *limitListener) acquire() bool {
  select {
  case <-l.done:
    return false
  case l.sem <- struct{}{}:
    return true
  }
}
func (l *limitListener) release() { <-l.sem }
 
func (l *limitListener) Accept() (net.Conn, error) {
  //如果sem满了,就会阻塞在这
  acquired := l.acquire()
  // If the semaphore isn't acquired because the listener was closed, expect
  // that this call to accept won't block, but immediately return an error.
  c, err := l.Listener.Accept()
  if err != nil {
    if acquired {
      l.release()
    }
    return nil, err
  }
  return &limitListenerConn{Conn: c, release: l.release}, nil
}
 
func (l *limitListener) Close() error {
  err := l.Listener.Close()
  l.closeOnce.Do(func() { close(l.done) })
  return err
}
 
type limitListenerConn struct {
  net.Conn
  releaseOnce sync.Once
  release   func()
}
 
func (l *limitListenerConn) Close() error {
  err := l.Conn.Close()
  //close时释放占用的sem
  l.releaseOnce.Do(l.release)
  return err
}

使用Token Bucket(令牌桶算法)实现请求限流

在开发高并发系统时有三把利器用来保护系统:缓存、降级和限流!为了保证在业务高峰期,线上系统也能保证一定的弹性和稳定性,最有效的方案就是进行服务降级了,而限流就是降级系统最常采用的方案之一。

这里为大家推荐一个开源库 https://github.com/didip/tollbooth ,但是,如果您想要一些简单的、轻量级的或者只是想要学习的东西,实现自己的中间件来处理速率限制并不困难。今天我们就来聊聊如何实现自己的一个限流中间件

首先我们需要安装一个提供了 Token bucket (令牌桶算法)的依赖包,上面提到的toolbooth 的实现也是基于它实现的:

$ go get golang.org/x/time/rate

Demo代码的实现

package main
 
import (
  "net/http"
  "golang.org/x/time/rate"
)
 
var limiter = rate.NewLimiter(2, 5)
func limit(next http.Handler) http.Handler {
  return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
    if limiter.Allow() == false {
      http.Error(w, http.StatusText(429), http.StatusTooManyRequests)
      return
    }
    next.ServeHTTP(w, r)
  })
}
 
func main() {
  mux := http.NewServeMux()
  mux.HandleFunc("/", okHandler)
  // Wrap the servemux with the limit middleware.
  http.ListenAndServe(":4000", limit(mux))
}
 
func okHandler(w http.ResponseWriter, r *http.Request) {
  w.Write([]byte("OK"))
}

算法描述:用户配置的平均发送速率为r,则每隔1/r秒一个令牌被加入到桶中(每秒会有r个令牌放入桶中),桶中最多可以存放b个令牌。如果令牌到达时令牌桶已经满了,那么这个令牌会被丢弃;

实现

// Copyright 2015 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package rate provides a rate limiter.
package rate
 
import (
  "fmt"
  "math"
  "sync"
  "time"
 
  "golang.org/x/net/context"
)
 
// Limit defines the maximum frequency of some events.
// Limit is represented as number of events per second.
// A zero Limit allows no events.
type Limit float64
 
// Inf is the infinite rate limit; it allows all events (even if burst is zero).
const Inf = Limit(math.MaxFloat64)
 
// Every converts a minimum time interval between events to a Limit.
func Every(interval time.Duration) Limit {
  if interval <= 0 {
    return Inf
  }
  return 1 / Limit(interval.Seconds())
}
 
// A Limiter controls how frequently events are allowed to happen.
// It implements a "token bucket" of size b, initially full and refilled
// at rate r tokens per second.
// Informally, in any large enough time interval, the Limiter limits the
// rate to r tokens per second, with a maximum burst size of b events.
// As a special case, if r == Inf (the infinite rate), b is ignored.
// See https://en.wikipedia.org/wiki/Token_bucket for more about token buckets.
//
// The zero value is a valid Limiter, but it will reject all events.
// Use NewLimiter to create non-zero Limiters.
//
// Limiter has three main methods, Allow, Reserve, and Wait.
// Most callers should use Wait.
//
// Each of the three methods consumes a single token.
// They differ in their behavior when no token is available.
// If no token is available, Allow returns false.
// If no token is available, Reserve returns a reservation for a future token
// and the amount of time the caller must wait before using it.
// If no token is available, Wait blocks until one can be obtained
// or its associated context.Context is canceled.
//
// The methods AllowN, ReserveN, and WaitN consume n tokens.
type Limiter struct {
  //maximum token, token num per second
  limit Limit
  //burst field, max token num
  burst int
  mu  sync.Mutex
  //tokens num, change
  tokens float64
  // last is the last time the limiter's tokens field was updated
  last time.Time
  // lastEvent is the latest time of a rate-limited event (past or future)
  lastEvent time.Time
}
 
// Limit returns the maximum overall event rate.
func (lim *Limiter) Limit() Limit {
  lim.mu.Lock()
  defer lim.mu.Unlock()
  return lim.limit
}
 
// Burst returns the maximum burst size. Burst is the maximum number of tokens
// that can be consumed in a single call to Allow, Reserve, or Wait, so higher
// Burst values allow more events to happen at once.
// A zero Burst allows no events, unless limit == Inf.
func (lim *Limiter) Burst() int {
  return lim.burst
}
 
// NewLimiter returns a new Limiter that allows events up to rate r and permits
// bursts of at most b tokens.
func NewLimiter(r Limit, b int) *Limiter {
  return &Limiter{
    limit: r,
    burst: b,
  }
}
 
// Allow is shorthand for AllowN(time.Now(), 1).
func (lim *Limiter) Allow() bool {
  return lim.AllowN(time.Now(), 1)
}
 
// AllowN reports whether n events may happen at time now.
// Use this method if you intend to drop / skip events that exceed the rate limit.
// Otherwise use Reserve or Wait.
func (lim *Limiter) AllowN(now time.Time, n int) bool {
  return lim.reserveN(now, n, 0).ok
}
 
// A Reservation holds information about events that are permitted by a Limiter to happen after a delay.
// A Reservation may be canceled, which may enable the Limiter to permit additional events.
type Reservation struct {
  ok   bool
  lim  *Limiter
  tokens int
  //This is the time to action
  timeToAct time.Time
  // This is the Limit at reservation time, it can change later.
  limit Limit
}
 
// OK returns whether the limiter can provide the requested number of tokens
// within the maximum wait time. If OK is false, Delay returns InfDuration, and
// Cancel does nothing.
func (r *Reservation) OK() bool {
  return r.ok
}
 
// Delay is shorthand for DelayFrom(time.Now()).
func (r *Reservation) Delay() time.Duration {
  return r.DelayFrom(time.Now())
}
 
// InfDuration is the duration returned by Delay when a Reservation is not OK.
const InfDuration = time.Duration(1<<63 - 1)
 
// DelayFrom returns the duration for which the reservation holder must wait
// before taking the reserved action. Zero duration means act immediately.
// InfDuration means the limiter cannot grant the tokens requested in this
// Reservation within the maximum wait time.
func (r *Reservation) DelayFrom(now time.Time) time.Duration {
  if !r.ok {
    return InfDuration
  }
  delay := r.timeToAct.Sub(now)
  if delay < 0 {
    return 0
  }
  return delay
}
 
// Cancel is shorthand for CancelAt(time.Now()).
func (r *Reservation) Cancel() {
  r.CancelAt(time.Now())
  return
}
 
// CancelAt indicates that the reservation holder will not perform the reserved action
// and reverses the effects of this Reservation on the rate limit as much as possible,
// considering that other reservations may have already been made.
func (r *Reservation) CancelAt(now time.Time) {
  if !r.ok {
    return
  }
  r.lim.mu.Lock()
  defer r.lim.mu.Unlock()
  if r.lim.limit == Inf || r.tokens == 0 || r.timeToAct.Before(now) {
    return
  }
  // calculate tokens to restore
  // The duration between lim.lastEvent and r.timeToAct tells us how many tokens were reserved
  // after r was obtained. These tokens should not be restored.
  restoreTokens := float64(r.tokens) - r.limit.tokensFromDuration(r.lim.lastEvent.Sub(r.timeToAct))
  if restoreTokens <= 0 {
    return
  }
  // advance time to now
  now, _, tokens := r.lim.advance(now)
  // calculate new number of tokens
  tokens += restoreTokens
  if burst := float64(r.lim.burst); tokens > burst {
    tokens = burst
  }
  // update state
  r.lim.last = now
  r.lim.tokens = tokens
  if r.timeToAct == r.lim.lastEvent {
    prevEvent := r.timeToAct.Add(r.limit.durationFromTokens(float64(-r.tokens)))
    if !prevEvent.Before(now) {
      r.lim.lastEvent = prevEvent
    }
  }
  return
}
 
// Reserve is shorthand for ReserveN(time.Now(), 1).
func (lim *Limiter) Reserve() *Reservation {
  return lim.ReserveN(time.Now(), 1)
}
 
// ReserveN returns a Reservation that indicates how long the caller must wait before n events happen.
// The Limiter takes this Reservation into account when allowing future events.
// ReserveN returns false if n exceeds the Limiter's burst size.
// Usage example:
//  r, ok := lim.ReserveN(time.Now(), 1)
//  if !ok {
//   // Not allowed to act! Did you remember to set lim.burst to be > 0 "rate: Wait(n=%d) exceeds limiter's burst %d", n, lim.burst)
  }
  // Check if ctx is already cancelled
  select {
  case <-ctx.Done():
    return ctx.Err()
  default:
  }
  // Determine wait limit
  now := time.Now()
  waitLimit := InfDuration
  if deadline, ok := ctx.Deadline(); ok {
    waitLimit = deadline.Sub(now)
  }
  // Reserve
  r := lim.reserveN(now, n, waitLimit)
  if !r.ok {
    return fmt.Errorf("rate: Wait(n=%d) would exceed context deadline", n)
  }
  // Wait
  t := time.NewTimer(r.DelayFrom(now))
  defer t.Stop()
  select {
  case <-t.C:
    // We can proceed.
    return nil
  case <-ctx.Done():
    // Context was canceled before we could proceed. Cancel the
    // reservation, which may permit other events to proceed sooner.
    r.Cancel()
    return ctx.Err()
  }
}
 
// SetLimit is shorthand for SetLimitAt(time.Now(), newLimit).
func (lim *Limiter) SetLimit(newLimit Limit) {
  lim.SetLimitAt(time.Now(), newLimit)
}
 
// SetLimitAt sets a new Limit for the limiter. The new Limit, and Burst, may be violated
// or underutilized by those which reserved (using Reserve or Wait) but did not yet act
// before SetLimitAt was called.
func (lim *Limiter) SetLimitAt(now time.Time, newLimit Limit) {
  lim.mu.Lock()
  defer lim.mu.Unlock()
  now, _, tokens := lim.advance(now)
  lim.last = now
  lim.tokens = tokens
  lim.limit = newLimit
}
 
// reserveN is a helper method for AllowN, ReserveN, and WaitN.
// maxFutureReserve specifies the maximum reservation wait duration allowed.
// reserveN returns Reservation, not *Reservation, to avoid allocation in AllowN and WaitN.
func (lim *Limiter) reserveN(now time.Time, n int, maxFutureReserve time.Duration) Reservation {
  lim.mu.Lock()
  defer lim.mu.Unlock()
  if lim.limit == Inf {
    return Reservation{
      ok:    true,
      lim:    lim,
      tokens:  n,
      timeToAct: now,
    }
  }
  now, last, tokens := lim.advance(now)
  // Calculate the remaining number of tokens resulting from the request.
  tokens -= float64(n)
  // Calculate the wait duration
  var waitDuration time.Duration
  if tokens < 0 {
    waitDuration = lim.limit.durationFromTokens(-tokens)
  }
  // Decide result
  ok := n <= lim.burst && waitDuration <= maxFutureReserve
  // Prepare reservation
  r := Reservation{
    ok:  ok,
    lim:  lim,
    limit: lim.limit,
  }
  if ok {
    r.tokens = n
    r.timeToAct = now.Add(waitDuration)
  }
  // Update state
  if ok {
    lim.last = now
    lim.tokens = tokens
    lim.lastEvent = r.timeToAct
  } else {
    lim.last = last
  }
  return r
}
 
// advance calculates and returns an updated state for lim resulting from the passage of time.
// lim is not changed.
func (lim *Limiter) advance(now time.Time) (newNow time.Time, newLast time.Time, newTokens float64) {
  last := lim.last
  if now.Before(last) {
    last = now
  }
  // Avoid making delta overflow below when last is very old.
  maxElapsed := lim.limit.durationFromTokens(float64(lim.burst) - lim.tokens)
  elapsed := now.Sub(last)
  if elapsed > maxElapsed {
    elapsed = maxElapsed
  }
  // Calculate the new number of tokens, due to time that passed.
  delta := lim.limit.tokensFromDuration(elapsed)
  tokens := lim.tokens + delta
  if burst := float64(lim.burst); tokens > burst {
    tokens = burst
  }
  return now, last, tokens
}
 
// durationFromTokens is a unit conversion function from the number of tokens to the duration
// of time it takes to accumulate them at a rate of limit tokens per second.
func (limit Limit) durationFromTokens(tokens float64) time.Duration {
  seconds := tokens / float64(limit)
  return time.Nanosecond * time.Duration(1e9*seconds)
}
 
// tokensFromDuration is a unit conversion function from a time duration to the number of tokens
// which could be accumulated during that duration at a rate of limit tokens per second.
func (limit Limit) tokensFromDuration(d time.Duration) float64 {
  return d.Seconds() * float64(limit)
}

虽然在某些情况下使用单个全局速率限制器非常有用,但另一种常见情况是基于IP地址或API密钥等标识符为每个用户实施速率限制器。我们将使用IP地址作为标识符。简单实现代码如下:

package main
import (
  "net/http"
  "sync"
  "time"
  "golang.org/x/time/rate"
)
// Create a custom visitor struct which holds the rate limiter for each
// visitor and the last time that the visitor was seen.
type visitor struct {
  limiter *rate.Limiter
  lastSeen time.Time
}
// Change the the map to hold values of the type visitor.
var visitors = make(map[string]*visitor)
var mtx sync.Mutex
// Run a background goroutine to remove old entries from the visitors map.
func init() {
  go cleanupVisitors()
}
func addVisitor(ip string) *rate.Limiter {
  limiter := rate.NewLimiter(2, 5)
  mtx.Lock()
  // Include the current time when creating a new visitor.
  visitors[ip] = &visitor{limiter, time.Now()}
  mtx.Unlock()
  return limiter
}
func getVisitor(ip string) *rate.Limiter {
  mtx.Lock()
  v, exists := visitors[ip]
  if !exists {
    mtx.Unlock()
    return addVisitor(ip)
  }
  // Update the last seen time for the visitor.
  v.lastSeen = time.Now()
  mtx.Unlock()
  return v.limiter
}
// Every minute check the map for visitors that haven't been seen for
// more than 3 minutes and delete the entries.
func cleanupVisitors() {
  for {
    time.Sleep(time.Minute)
    mtx.Lock()
    for ip, v := range visitors {
      if time.Now().Sub(v.lastSeen) > 3*time.Minute {
        delete(visitors, ip)
      }
    }
    mtx.Unlock()
  }
}
func limit(next http.Handler) http.Handler {
  return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
    limiter := getVisitor(r.RemoteAddr)
    if limiter.Allow() == false {
      http.Error(w, http.StatusText(429), http.StatusTooManyRequests)
      return
    }
    next.ServeHTTP(w, r)
  })
}

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。

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《魔兽世界》大逃杀!60人新游玩模式《强袭风暴》3月21日上线

暴雪近日发布了《魔兽世界》10.2.6 更新内容,新游玩模式《强袭风暴》即将于3月21 日在亚服上线,届时玩家将前往阿拉希高地展开一场 60 人大逃杀对战。

艾泽拉斯的冒险者已经征服了艾泽拉斯的大地及遥远的彼岸。他们在对抗世界上最致命的敌人时展现出过人的手腕,并且成功阻止终结宇宙等级的威胁。当他们在为即将于《魔兽世界》资料片《地心之战》中来袭的萨拉塔斯势力做战斗准备时,他们还需要在熟悉的阿拉希高地面对一个全新的敌人──那就是彼此。在《巨龙崛起》10.2.6 更新的《强袭风暴》中,玩家将会进入一个全新的海盗主题大逃杀式限时活动,其中包含极高的风险和史诗级的奖励。

《强袭风暴》不是普通的战场,作为一个独立于主游戏之外的活动,玩家可以用大逃杀的风格来体验《魔兽世界》,不分职业、不分装备(除了你在赛局中捡到的),光是技巧和战略的强弱之分就能决定出谁才是能坚持到最后的赢家。本次活动将会开放单人和双人模式,玩家在加入海盗主题的预赛大厅区域前,可以从强袭风暴角色画面新增好友。游玩游戏将可以累计名望轨迹,《巨龙崛起》和《魔兽世界:巫妖王之怒 经典版》的玩家都可以获得奖励。