Go语言协程池的实现示例

type Task struct {
    f func() error  // 具体的执行逻辑
}

type Pool struct {
    RunningWorkers int64     // 运行着的worker数量
    Capacity       int64     // 协程池worker容量---goroutine数量
    JobCh          chan *Task // 用于worker取任务
    sync.Mutex
}

// p为Pool对象指针
for task := range p.JobCh {
    do ...      
}

func NewTask(funcArg func() error) *Task

func NewPool(Capacity int, taskNum int) *Pool

func (p *Pool) AddTask(task *Task)

func (p *Pool) Run()

package main

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

type Task struct {
    f func() error // 具体的任务逻辑
}

func NewTask(funcArg func() error) *Task {
    return &Task{
       f: funcArg,
    }
}

type Pool struct {
    RunningWorkers int64      // 运行着的worker数量
    Capacity       int64      // 协程池worker容量
    JobCh          chan *Task // 用于worker取任务
    sync.Mutex
}

func NewPool(capacity int64, taskNum int) *Pool {
    return &Pool{
       Capacity: capacity,
       JobCh:    make(chan *Task, taskNum),
    }
}

func (p *Pool) GetCap() int64 {
    return p.Capacity
}

func (p *Pool) incRunning() { // runningWorkers + 1
    atomic.AddInt64(&p.RunningWorkers, 1)
}

func (p *Pool) decRunning() { // runningWorkers - 1
    atomic.AddInt64(&p.RunningWorkers, -1)
}

func (p *Pool) GetRunningWorkers() int64 {
    return atomic.LoadInt64(&p.RunningWorkers)
}

func (p *Pool) run() {
    p.incRunning()
    go func() {
       defer func() {
          p.decRunning()
       }()
       for task := range p.JobCh {
          task.f()
       }
    }()
}

// AddTask 往协程池添加任务
func (p *Pool) AddTask(task *Task) {
    // 加锁防止启动多个 worker
    p.Lock()
    defer p.Unlock()

    if p.GetRunningWorkers() < p.GetCap() { // 如果任务池满, 则不再创建 worker
       // 创建启动一个 worker
       p.run()
    }

    // 将任务推入队列, 等待消费
    p.JobCh <- task
}

func main() {
    // 创建任务池
    pool := NewPool(3, 10)

    for i := 0; i < 20; i++ {
       // 任务放入池中
       pool.AddTask(NewTask(func() error {
          fmt.Printf("I am Task\n")
          return nil
       }))
    }

    time.Sleep(1e9) // 等待执行
}