Home Backend Development Golang Optimize the performance tuning strategy of Select Channels Go concurrent programming in golang

Optimize the performance tuning strategy of Select Channels Go concurrent programming in golang

Sep 28, 2023 pm 09:21 PM
Performance tuning go concurrency select channels

优化golang中Select Channels Go并发式编程的性能调优策略

Performance tuning strategy for optimizing Select Channels Go concurrent programming in golang

Introduction:
With the multi-core and parallel computing capabilities of modern computer processors With the improvement of Go language, as a concurrent programming language, it is widely used to develop high-concurrency back-end services. In Go language, using goroutine and channel can easily implement concurrent programming and improve program performance and response speed. In concurrent programming, using select statements in conjunction with channels can provide more flexible concurrency control. However, too many channels and select statements may also affect the performance of the program. Therefore, this article will introduce some performance optimization strategies to improve the efficiency of concurrent programming using select and channel in golang.

1. Reduce the use of channels

  1. Merge channels: When there are multiple channels for data interaction, you can consider merging them into one channel. In this way, the number of channels can be reduced, thereby reducing the complexity of the select statement and improving program performance.

Sample code:

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package main

 

import (

    "fmt"

    "time"

)

 

func main() {

    ch := make(chan int)

 

    go func() {

        for i := 0; i < 5; i++ {

            ch <- i

            time.Sleep(time.Second)

        }

        close(ch)

    }()

 

    for num := range ch {

        fmt.Println(num)

    }

}

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  1. Use a buffered channel: A buffered channel can introduce a buffer between sending and receiving to reduce the blocking waiting time of goroutine , improve the concurrent performance of the program. The buffer size needs to be set appropriately according to specific scenarios to avoid resource waste caused by being too large and performance bottlenecks caused by being too small.

Sample code:

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package main

 

import (

    "fmt"

    "time"

)

 

func main() {

    ch := make(chan int, 5)

 

    go func() {

        for i := 0; i < 5; i++ {

            ch <- i

            time.Sleep(time.Second)

        }

        close(ch)

    }()

 

    for num := range ch {

        fmt.Println(num)

    }

}

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2. Optimize the select statement

  1. Reduce the cases in the select: In the select statement, each case is a Channel read or write operations, and all case statements will be traversed every time select is executed. Therefore, when there are a large number of cases, the execution time and complexity of select will increase. Therefore, the performance of the program can be improved by reducing the number of cases in the select.

Sample code:

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package main

 

import (

    "fmt"

    "time"

)

 

func main() {

    ch1 := make(chan int)

    ch2 := make(chan int)

 

    go func() {

        for i := 0; i < 5; i++ {

            ch1 <- i

            time.Sleep(time.Second)

        }

        close(ch1)

    }()

 

    go func() {

        for i := 0; i < 5; i++ {

            ch2 <- i

            time.Sleep(time.Second)

        }

        close(ch2)

    }()

 

    for {

        select {

        case num, ok := <-ch1:

            if !ok {

                ch1 = nil

                break

            }

            fmt.Println(num)

        case num, ok := <-ch2:

            if !ok {

                ch2 = nil

                break

            }

            fmt.Println(num)

        }

 

        if ch1 == nil && ch2 == nil {

            break

        }

    }

}

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  1. Use default in the select statement: When all cases in the select are not ready, if a default statement exists, it will be executed default statement. By rationally using the default statement, the blocking of the select statement can be avoided to a certain extent and the concurrency performance of the program can be improved.

Sample code:

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package main

 

import (

    "fmt"

    "time"

)

 

func main() {

    ch1 := make(chan int)

    ch2 := make(chan int)

 

    go func() {

        for i := 0; i < 5; i++ {

            ch1 <- i

            time.Sleep(time.Second)

        }

        close(ch1)

    }()

 

    go func() {

        for i := 0; i < 5; i++ {

            ch2 <- i

            time.Sleep(time.Second)

        }

        close(ch2)

    }()

 

    for {

        select {

        case num, ok := <-ch1:

            if !ok {

                ch1 = nil

                break

            }

            fmt.Println(num)

        case num, ok := <-ch2:

            if !ok {

                ch2 = nil

                break

            }

            fmt.Println(num)

        default:

            fmt.Println("No data available.")

            time.Sleep(time.Second)

        }

 

        if ch1 == nil && ch2 == nil {

            break

        }

    }

}

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Summary:
By properly optimizing the use of select and channel, we can improve the efficiency and performance of concurrent programming in golang. By reducing the use of channels, merging channels, using buffered channels, and optimizing the case in the select statement and using the default statement, the concurrency performance of the program can be effectively improved. By optimizing the performance of concurrent code, we can better leverage the characteristics of concurrent programming in the Go language and improve the response speed and throughput of the program.

Reference:
"Go Language Concurrent Programming Practice"

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