How to solve the problem of concurrent task time limit in Go language?

How to solve the problem of concurrent task time limit in Go language?

In development, we often encounter tasks that need to be completed within a limited time, such as request timeout, task timeout, etc. In Go language, we can use some methods to solve these problems. This article will introduce several common solutions with code examples.

1. Using the context package

The context package is provided in the standard library of Go language for processing task context information. It can pass task context information between coroutines and provide timeout control functions. The following is a sample code that uses the context package to solve the time limit of concurrent tasks:

package main

import (
    "context"
    "fmt"
    "time"
)

func main() {
    timeout := 3 * time.Second
    ctx, cancel := context.WithTimeout(context.Background(), timeout)
    defer cancel()

    ch := make(chan string)
    go doTask(ctx, ch)

    select {
    case res := <-ch:
        fmt.Println(res)
    case <-ctx.Done():
        fmt.Println("任务超时")
    }
}

func doTask(ctx context.Context, ch chan<- string) {
    time.Sleep(5 * time.Second)
    ch <- "任务完成"
}

In the above code, we use the context.WithTimeout function to create a context ctx with a timeout function, assuming The maximum execution time of the task is set to 3 seconds. In the main function, we use the doTask function to start a coroutine execution task and return the task execution result through the ch channel. Using the select statement, we can monitor the task execution results and timeout status at the same time, so as to exit in time when the task times out and avoid the task execution time being too long.

2. Using the time package

In addition to the context package, we can also use the timer function provided by the time package to solve the concurrent task time limit problem. The following is an example code that uses the time package to solve the time limit of concurrent tasks:

package main

import (
    "fmt"
    "time"
)

func main() {
    timeout := 3 * time.Second
    ch := make(chan string)
    done := make(chan bool)

    go doTask(ch, done)

    select {
    case res := <-ch:
        fmt.Println(res)
    case <-time.After(timeout):
        fmt.Println("任务超时")
    }

    <-done
}

func doTask(ch chan<- string, done chan<- bool) {
    time.Sleep(5 * time.Second)
    ch <- "任务完成"
    done <- true
}

In the above code, we created a timer through the time.After function and set the maximum limit of the task. Long execution time is 3 seconds. Use the select statement to monitor task execution results and timeout status. If the task is not completed within the set time, the current time will be received from the timer channel, thereby triggering the timeout processing logic.

Through the above two sample codes, we can see how to solve the problem of concurrent task time limit in Go language. Using the context package can easily control the transmission of timeout information between coroutines, while using the timer function of the time package is more intuitive and flexible. Choosing the appropriate method according to the actual situation can make our program writing more concise and robust.

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