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Buffered Channels and Worker Pools

时间:2018-03-12 13:37:43      阅读:140      评论:0      收藏:0      [点我收藏+]

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原文链接:https://golangbot.com/buffered-channels-worker-pools/

buffered channels

  • 带有缓冲区的channel 只有在缓冲区满之后 channel才会阻塞

WaitGroup

  • 如果有多个 goroutine在后台执行 那么需要在主线程中 多次等待 可以有一个简单的方法 就是 通过WaitGroup 可以控制 Goroutines 直到它们都执行完成

例子

import (  
    "fmt"
    "sync"
    "time"
)

func process(i int, wg *sync.WaitGroup) {  
    fmt.Println("started Goroutine ", i)
    time.Sleep(2 * time.Second)
    fmt.Printf("Goroutine %d ended\n", i)
    wg.Done()
}

func main() {  
    no := 3
    var wg sync.WaitGroup
    for i := 0; i < no; i++ {
        wg.Add(1)
        go process(i, &wg)
    }
    wg.Wait()![](https://images2018.cnblogs.com/blog/736597/201803/736597-20180312115109926-1714494090.png)


    fmt.Println("All go routines finished executing")
}

Worker Pool Implementation

先贴一下个人理解的 程序执行的流程图

技术分享图片

import (
    "fmt"
    "math/rand"
    "sync"
    "time"
)

type Job struct {
    id       int
    randomno int
}
type Result struct {
    job         Job
    sumofdigits int
}

var jobs = make(chan Job, 10)
var results = make(chan Result, 10)

func digits(number int) int {
    sum := 0
    no := number
    for no != 0 {
        digit := no % 10
        sum += digit
        no /= 10
    }
    time.Sleep(5 * time.Second)
    return sum
}
func worker(wg *sync.WaitGroup) {
    for job := range jobs {
        output := Result{job, digits(job.randomno)}
        results <- output
    }
    wg.Done()
}
func createWorkerPool(noOfWorkers int) {
    var wg sync.WaitGroup
    for i := 0; i < noOfWorkers; i++ {
        wg.Add(1)
        go worker(&wg)
    }
    wg.Wait()
    close(results)
}
func allocate(noOfJobs int) {
    for i := 0; i < noOfJobs; i++ {
        randomno := rand.Intn(999)
        job := Job{i, randomno}
        jobs <- job
    }
    close(jobs)
}
func result(done chan bool) {
    for result := range results {
        fmt.Printf("Job id %d, input random no %d , sum of digits %d\n", result.job.id, result.job.randomno, result.sumofdigits)
    }
    done <- true
}

func main() {
    startTime := time.Now()

    noOfJobs := 100
    go allocate(noOfJobs)

    done := make(chan bool)
    go result(done)
    noOfWorkers := 10
    createWorkerPool(noOfWorkers)
    <-done

    endTime := time.Now()


    diff := endTime.Sub(startTime)
    fmt.Println("total time taken ", diff.Seconds(), "seconds")
}

Buffered Channels and Worker Pools

标签:code   []   blog   amp   func   proc   png   obs   程序   

原文地址:https://www.cnblogs.com/alin-qu/p/8548512.html

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