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Best practices for golang function concurrency control in microservice architecture

王林
Release: 2024-04-24 17:09:02
Original
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The best practices for Golang function concurrency control in microservice architecture include: using WaitGroup to coordinate concurrent routines to ensure that the main routine continues execution after all routines have been executed. Use Semaphores to control the concurrency limit and prevent system overload. Use Mutex to serialize access to shared resources and prevent data races. Use Goroutines channels to implement asynchronous communication between goroutines and decouple routines to improve concurrency.

Best practices for golang function concurrency control in microservice architecture

The best practice of Golang function concurrency control in microservice architecture

In microservice architecture, function concurrency control is important for Optimizing performance and scalability is critical. Golang provides several mechanisms to effectively control function concurrency.

Best Practices:

  • Use WaitGroup to coordinate concurrent routines: WaitGroup is used to wait for a group of concurrent routines to complete. This helps ensure that all routines have completed execution before the main routine can continue.
import (
    "sync"
    "time"
)

var wg sync.WaitGroup

func main() {
    for i := 0; i < 10; i++ {
        wg.Add(1)
        go func() {
            time.Sleep(time.Second)
            wg.Done()
        }()
    }
    wg.Wait()
}
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  • Use Semaphores to control the upper limit of concurrency: Semaphores limit the number of routines that can be executed at the same time. This helps prevent system overload and crashes.
import (
    "fmt"
    "sync"
)

var sem = make(chan int, 10)

func main() {
    for i := 0; i < 20; i++ {
        go func(i int) {
            sem <- 1
            fmt.Printf("Routine %d started\n", i)
            time.Sleep(time.Second)
            <-sem
        }(i)
    }
}
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  • Use Mutex to serialize access to a shared resource: A mutex allows only one routine to access a shared resource at a time. This helps prevent data races and corruption.
import (
    "fmt"
    "sync"
)

var m = sync.Mutex{}
var counter = 0

func main() {
    for i := 0; i < 1000; i++ {
        go func() {
            m.Lock()
            counter++
            fmt.Printf("Counter: %d\n", counter)
            m.Unlock()
        }()
    }
}
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  • Communication using Goroutines channels: Goroutines channels are a mechanism for asynchronous communication between goroutines. This helps decouple routines and improve concurrency.
import (
    "fmt"
)

func main() {
    ch := make(chan int)
    go func() {
        ch <- 10
    }()
    v := <-ch
    fmt.Printf("Received: %d\n", v)
}
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Practical case:

The following is a practical example of using WaitGroup to coordinate concurrent routines:

package main

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

func main() {
    var wg sync.WaitGroup
    for i := 0; i < 10; i++ {
        wg.Add(1)
        go func(i int) {
            defer wg.Done()
            fmt.Println(i)
            time.Sleep(time.Second)
        }(i)
    }
    wg.Wait()
}
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