go中控制goroutine数量的方法

var (
 // channel长度
 poolCount      = 5
 // 复用的goroutine数量
 goroutineCount = 10
)

func pool() {
 jobsChan := make(chan int, poolCount)

 // workers
 var wg sync.WaitGroup
 for i := 0; i < goroutineCount; i++ {
  wg.Add(1)
  go func() {
   defer wg.Done()
   for item := range jobsChan {
    // ...
    fmt.Println(item)
   }
  }()
 }

 // senders
 for i := 0; i < 1000; i++ {
  jobsChan <- i
 }

 // 关闭channel，上游的goroutine在读完channel的内容，就会通过wg的done退出
 close(jobsChan)
 wg.Wait()
}

package main

import (
 "context"
 "fmt"
 "sync"
 "time"

 "golang.org/x/sync/semaphore"
)

const (
 // 同时运行的goroutine上限
 Limit = 3
 // 信号量的权重
 Weight = 1
)

func main() {
 names := []string{
  "小白",
  "小红",
  "小明",
  "小李",
  "小花",
 }

 sem := semaphore.NewWeighted(Limit)
 var w sync.WaitGroup
 for _, name := range names {
  w.Add(1)
  go func(name string) {
   sem.Acquire(context.Background(), Weight)
   // ... 具体的业务逻辑
   fmt.Println(name, "-吃饭了")
   time.Sleep(2 * time.Second)
   sem.Release(Weight)
   w.Done()
  }(name)
 }
 w.Wait()

 fmt.Println("ending--------")
}

// workerPool通过一组工作池服务传入的连接
// 按照FILO（先进后出）的顺序，即最近停止的工作人员将为下一个工作传入的连接。
//
// 这种方案能够保持cpu的缓存保持高效（理论上）
type workerPool struct {
 // 这个函数用于server的连接
 // It must leave c unclosed.
 WorkerFunc ServeHandler

 // 最大的Workers数量
 MaxWorkersCount int

 LogAllErrors bool

 MaxIdleWorkerDuration time.Duration

 Logger Logger

 lock         sync.Mutex
 // 当前worker的数量
 workersCount int
 // worker停止的标识
 mustStop     bool

 // 等待使用的workerChan
 // 可能会被清理
 ready []*workerChan

 // 用来标识start和stop
 stopCh chan struct{}

 // workerChan的缓存池，通过sync.Pool实现
 workerChanPool sync.Pool

 connState func(net.Conn, ConnState)
}

// workerChan的结构
type workerChan struct {
 lastUseTime time.Time
 ch          chan net.Conn
}

func (wp *workerPool) Start() {
 // 判断是否已经Start过了
 if wp.stopCh != nil {
  panic("BUG: workerPool already started")
 }
 // stopCh塞入值
 wp.stopCh = make(chan struct{})
 stopCh := wp.stopCh
 wp.workerChanPool.New = func() interface{} {
  // 如果单核cpu则让workerChan阻塞
  // 否则，使用非阻塞，workerChan的长度为1
  return &workerChan{
   ch: make(chan net.Conn, workerChanCap),
  }
 }
 go func() {
  var scratch []*workerChan
  for {
   wp.clean(&scratch)
   select {
   // 接收到退出信号，退出
   case <-stopCh:
    return
   default:
    time.Sleep(wp.getMaxIdleWorkerDuration())
   }
  }
 }()
}

// 如果单核cpu则让workerChan阻塞
// 否则，使用非阻塞，workerChan的长度为1
var workerChanCap = func() int {
 // 如果GOMAXPROCS=1，workerChan的长度为0，变成一个阻塞的channel
 if runtime.GOMAXPROCS(0) == 1 {
  return 0
 }

 // 如果GOMAXPROCS>1则使用非阻塞的workerChan
 return 1
}()

func (wp *workerPool) Stop() {
 // 同start，stop也只能触发一次
 if wp.stopCh == nil {
  panic("BUG: workerPool wasn't started")
 }
 // 关闭stopCh
 close(wp.stopCh)
 // 将stopCh置为nil
 wp.stopCh = nil

 // 停止所有的等待获取连接的workers
 // 正在运行的workers，不需要等待他们退出，他们会在完成connection或mustStop被设置成true退出
 wp.lock.Lock()
 ready := wp.ready
 // 循环将ready的workerChan置为nil
 for i := range ready {
  ready[i].ch <- nil
  ready[i] = nil
 }
 wp.ready = ready[:0]
 // 设置mustStop为true
 wp.mustStop = true
 wp.lock.Unlock()
}

func (wp *workerPool) clean(scratch *[]*workerChan) {
 maxIdleWorkerDuration := wp.getMaxIdleWorkerDuration()

 // 清理掉最近最少使用的workers如果他们过了maxIdleWorkerDuration时间没有提供服务
 criticalTime := time.Now().Add(-maxIdleWorkerDuration)

 wp.lock.Lock()
 ready := wp.ready
 n := len(ready)

 // 使用二分搜索算法找出最近可以被清除的worker
 // 最后使用的workerChan 一定是放回队列尾部的。
 l, r, mid := 0, n-1, 0
 for l <= r {
  mid = (l + r) / 2
  if criticalTime.After(wp.ready[mid].lastUseTime) {
   l = mid + 1
  } else {
   r = mid - 1
  }
 }
 i := r
 if i == -1 {
  wp.lock.Unlock()
  return
 }

 // 将ready中i之前的的全部清除
 *scratch = append((*scratch)[:0], ready[:i+1]...)
 m := copy(ready, ready[i+1:])
 for i = m; i < n; i++ {
  ready[i] = nil
 }
 wp.ready = ready[:m]
 wp.lock.Unlock()

 // 通知淘汰的workers停止
 // 此通知必须位于wp.lock之外，因为ch.ch
 // 如果有很多workers，可能会阻塞并且可能会花费大量时间
 // 位于非本地CPU上。
 tmp := *scratch
 for i := range tmp {
  tmp[i].ch <- nil
  tmp[i] = nil
 }
}

func (wp *workerPool) getCh() *workerChan {
 var ch *workerChan
 createWorker := false

 wp.lock.Lock()
 ready := wp.ready
 n := len(ready) - 1
 // 如果ready为空
 if n < 0 {
  if wp.workersCount < wp.MaxWorkersCount {
   createWorker = true
   wp.workersCount++
  }
 } else {
  // 不为空从ready中取一个
  ch = ready[n]
  ready[n] = nil
  wp.ready = ready[:n]
 }
 wp.lock.Unlock()

 // 如果没拿到ch
 if ch == nil {
  if !createWorker {
   return nil
  }
  // 从缓存中获取一个ch
  vch := wp.workerChanPool.Get()
  ch = vch.(*workerChan)
  go func() {
   // 具体的执行函数
   wp.workerFunc(ch)
   // 再放入到pool中
   wp.workerChanPool.Put(vch)
  }()
 }
 return ch
}

func (wp *workerPool) workerFunc(ch *workerChan) {
 var c net.Conn

 var err error
 // 监听workerChan
 for c = range ch.ch {
  if c == nil {
   break
  }

  // 具体的业务逻辑
  ...
  c = nil

  // 释放workerChan
  // 在mustStop的时候将会跳出循环
  if !wp.release(ch) {
   break
  }
 }

 wp.lock.Lock()
 wp.workersCount--
 wp.lock.Unlock()
}

// 把Conn放入到channel中
func (wp *workerPool) Serve(c net.Conn) bool {
 ch := wp.getCh()
 if ch == nil {
  return false
 }
 ch.ch <- c
 return true
}

func (wp *workerPool) release(ch *workerChan) bool {
 // 修改 ch.lastUseTime
 ch.lastUseTime = time.Now()
 wp.lock.Lock()
 // 如果需要停止，直接返回
 if wp.mustStop {
  wp.lock.Unlock()
  return false
 }
 // 将ch放到ready中
 wp.ready = append(wp.ready, ch)
 wp.lock.Unlock()
 return true
}

package main

import (
 "fmt"
 "sync"
 "sync/atomic"
 "time"

 "github.com/panjf2000/ants"
)

func demoFunc() {
 time.Sleep(10 * time.Millisecond)
 fmt.Println("Hello World!")
}

func main() {
 defer ants.Release()

 runTimes := 1000

 var wg sync.WaitGroup
 syncCalculateSum := func() {
  demoFunc()
  wg.Done()
 }
 for i := 0; i < runTimes; i++ {
  wg.Add(1)
  _ = ants.Submit(syncCalculateSum)
 }
 wg.Wait()
 fmt.Printf("running goroutines: %d\n", ants.Running())
 fmt.Printf("finish all tasks.\n")
}

package main

import (
 "fmt"
 "sync"
 "sync/atomic"
 "time"

 "github.com/panjf2000/ants"
)

var sum int32

func myFunc(i interface{}) {
 n := i.(int32)
 atomic.AddInt32(&sum, n)
 fmt.Printf("run with %d\n", n)
}

func main() {
 var wg sync.WaitGroup
 runTimes := 1000

 // Use the pool with a method,
 // set 10 to the capacity of goroutine pool and 1 second for expired duration.
 p, _ := ants.NewPoolWithFunc(10, func(i interface{}) {
  myFunc(i)
  wg.Done()
 })
 defer p.Release()
 // Submit tasks one by one.
 for i := 0; i < runTimes; i++ {
  wg.Add(1)
  _ = p.Invoke(int32(i))
 }
 wg.Wait()
 fmt.Printf("running goroutines: %d\n", p.Running())
 fmt.Printf("finish all tasks, result is %d\n", sum)
 if sum != 499500 {
  panic("the final result is wrong!!!")
 }
}

package main

import (
 "fmt"
 "time"

 "gopkg.in/go-playground/pool.v3"
)

func main() {

 p := pool.NewLimited(10)
 defer p.Close()

 user := p.Queue(getUser(13))
 other := p.Queue(getOtherInfo(13))

 user.Wait()
 if err := user.Error(); err != nil {
  // handle error
 }

 // do stuff with user
 username := user.Value().(string)
 fmt.Println(username)

 other.Wait()
 if err := other.Error(); err != nil {
  // handle error
 }

 // do stuff with other
 otherInfo := other.Value().(string)
 fmt.Println(otherInfo)
}

func getUser(id int) pool.WorkFunc {

 return func(wu pool.WorkUnit) (interface{}, error) {

  // simulate waiting for something, like TCP connection to be established
  // or connection from pool grabbed
  time.Sleep(time.Second * 1)

  if wu.IsCancelled() {
   // return values not used
   return nil, nil
  }

  // ready for processing...

  return "Joeybloggs", nil
 }
}

func getOtherInfo(id int) pool.WorkFunc {

 return func(wu pool.WorkUnit) (interface{}, error) {

  // simulate waiting for something, like TCP connection to be established
  // or connection from pool grabbed
  time.Sleep(time.Second * 1)

  if wu.IsCancelled() {
   // return values not used
   return nil, nil
  }

  // ready for processing...

  return "Other Info", nil
 }
}

package main

import (
 "fmt"
 "time"

 "gopkg.in/go-playground/pool.v3"
)

func main() {

 p := pool.NewLimited(10)
 defer p.Close()

 batch := p.Batch()

 // for max speed Queue in another goroutine
 // but it is not required, just can't start reading results
 // until all items are Queued.

 go func() {
  for i := 0; i < 10; i++ {
   batch.Queue(sendEmail("email content"))
  }

  // DO NOT FORGET THIS OR GOROUTINES WILL DEADLOCK
  // if calling Cancel() it calles QueueComplete() internally
  batch.QueueComplete()
 }()

 for email := range batch.Results() {

  if err := email.Error(); err != nil {
   // handle error
   // maybe call batch.Cancel()
  }

  // use return value
  fmt.Println(email.Value().(bool))
 }
}

func sendEmail(email string) pool.WorkFunc {
 return func(wu pool.WorkUnit) (interface{}, error) {

  // simulate waiting for something, like TCP connection to be established
  // or connection from pool grabbed
  time.Sleep(time.Second * 1)

  if wu.IsCancelled() {
   // return values not used
   return nil, nil
  }

  // ready for processing...

  return true, nil // everything ok, send nil, error if not
 }
}

// WorkUnit contains a single uint of works values
type WorkUnit interface {

 // 阻塞直到当前任务被完成或被取消
 Wait()

 // 执行函数返回的结果
 Value() interface{}

 // Error returns the Work Unit's error
 Error() error

 // 取消当前的可执行任务
 Cancel()

 // 判断当前的可执行单元是否被取消了
 IsCancelled() bool
}

var _ WorkUnit = new(workUnit)

// workUnit contains a single unit of works values
type workUnit struct {
 // 任务执行的结果
 value      interface{}
 // 错误信息
 err        error
 // 通知任务完成
 done       chan struct{}
 // 需要执行的任务函数
 fn         WorkFunc
 // 任务是会否被取消
 cancelled  atomic.Value
 // 是否正在取消任务
 cancelling atomic.Value
 // 任务是否正在执行
 writing    atomic.Value
}

var _ Pool = new(limitedPool)

// limitedPool contains all information for a limited pool instance.
type limitedPool struct {
 // 并发量
 workers uint
 // work的channel
 work    chan *workUnit
 // 通知结束的channel
 cancel  chan struct{}
 // 是否关闭的标识
 closed  bool
 // 读写锁
 m       sync.RWMutex
}

// 初始化一个pool
func NewLimited(workers uint) Pool {

 if workers == 0 {
  panic("invalid workers '0'")
 }
 // 初始化pool的work数量
 p := &limitedPool{
  workers: workers,
 }
 // 初始化pool的操作
 p.initialize()

 return p
}

func (p *limitedPool) initialize() {
 // channel的长度为work数量的两倍
 p.work = make(chan *workUnit, p.workers*2)
 p.cancel = make(chan struct{})
 p.closed = false

 // fire up workers here
 for i := 0; i < int(p.workers); i++ {
  p.newWorker(p.work, p.cancel)
 }
}

// 将工作传递并取消频道到newWorker（）以避免任何潜在的竞争状况
// 在p.work读写之间
func (p *limitedPool) newWorker(work chan *workUnit, cancel chan struct{}) {
 go func(p *limitedPool) {

  var wu *workUnit

  defer func(p *limitedPool) {
   // 捕获异常，结束掉异常的工作单元，并将其再次作为新的任务启动
   if err := recover(); err != nil {

    trace := make([]byte, 1<<16)
    n := runtime.Stack(trace, true)

    s := fmt.Sprintf(errRecovery, err, string(trace[:int(math.Min(float64(n), float64(7000)))]))

    iwu := wu
    iwu.err = &ErrRecovery{s: s}
    close(iwu.done)

    // 重新启动
    p.newWorker(p.work, p.cancel)
   }
  }(p)

  var value interface{}
  var err error
  // 监听channel，读取内容
  for {
   select {
   // channel中取出数据
   case wu = <-work:

    // 防止channel 被关闭后读取到零值
    if wu == nil {
     continue
    }

    // 单个和批量的cancellation这个都支持
    if wu.cancelled.Load() == nil {
     // 执行我们的业务函数
     value, err = wu.fn(wu)

     wu.writing.Store(struct{}{})

     // 如果WorkFunc取消了此工作单元，则需要再次检查
     // 防止产生竞争条件
     if wu.cancelled.Load() == nil && wu.cancelling.Load() == nil {
      wu.value, wu.err = value, err

      // 执行完成，关闭当前channel
      close(wu.done)
     }
    }
    // 如果取消了，就退出
   case <-cancel:
    return
   }
  }

 }(p)
}

// 放置一个执行的task到channel，并返回channel
func (p *limitedPool) Queue(fn WorkFunc) WorkUnit {
 // 初始化一个workUnit类型的channel
 w := &workUnit{
  done: make(chan struct{}),
  // 具体的执行函数
  fn:   fn,
 }

 go func() {
  p.m.RLock()
  // 如果pool关闭的时候通知channel关闭
  if p.closed {
   w.err = &ErrPoolClosed{s: errClosed}
   if w.cancelled.Load() == nil {
    close(w.done)
   }
   p.m.RUnlock()
   return
  }
  // 将channel传递给pool的work
  p.work <- w

  p.m.RUnlock()
 }()

 return w
}

// batch contains all information for a batch run of WorkUnits
type batch struct {
 pool    Pool
 m       sync.Mutex
 // WorkUnit的切片
 units   []WorkUnit
 // 结果集,执行完后的workUnit会更新其value,error,可以从结果集channel中读取
 results chan WorkUnit
 // 通知batch是否完成
 done    chan struct{}
 closed  bool
 wg      *sync.WaitGroup
}

// 初始化Batch
func newBatch(p Pool) Batch {
 return &batch{
  pool:    p,
  units:   make([]WorkUnit, 0, 4),
  results: make(chan WorkUnit),
  done:    make(chan struct{}),
  wg:      new(sync.WaitGroup),
 }
}


// 将WorkFunc放入到WorkUnit中并保留取消和输出结果的参考。
func (b *batch) Queue(fn WorkFunc) {

 b.m.Lock()

 if b.closed {
  b.m.Unlock()
  return
 }
 // 返回一个WorkUnit
 wu := b.pool.Queue(fn)

 // 放到WorkUnit的切片中
 b.units = append(b.units, wu)
 // 通过waitgroup进行goroutine的执行控制
 b.wg.Add(1)
 b.m.Unlock()

 // 执行任务
 go func(b *batch, wu WorkUnit) {
  wu.Wait()
  // 将执行的结果写入到results中
  b.results <- wu
  b.wg.Done()
 }(b, wu)
}


// QueueComplete让批处理知道不再有排队的工作单元
// 以便在所有工作完成后可以关闭结果渠道。
// 警告：如果未调用此函数，则结果通道将永远不会耗尽，
// 但会永远阻止以获取更多结果。
func (b *batch) QueueComplete() {
 b.m.Lock()
 b.closed = true
 close(b.done)
 b.m.Unlock()
}

// 取消批次的任务
func (b *batch) Cancel() {

 b.QueueComplete()

 b.m.Lock()

 // 一个个取消units，倒叙的取消
 for i := len(b.units) - 1; i >= 0; i-- {
  b.units[i].Cancel()
 }

 b.m.Unlock()
}

// 输出执行完成的结果集
func (b *batch) Results() <-chan WorkUnit {
 // 启动一个协程监听完成的通知
 // waitgroup阻塞直到所有的worker都完成退出
 // 最后关闭channel
 go func(b *batch) {
  <-b.done
  b.m.Lock()
  // 阻塞直到上面waitgroup中的goroutine一个个执行完成退出
  b.wg.Wait()
  b.m.Unlock()
  // 关闭channel
  close(b.results)
 }(b)

 return b.results
}