How to solve the problem of running status monitoring of concurrent tasks in Go language?

In the Go language, due to its inherent support for concurrency and parallelism, scenarios often involve multiple tasks running at the same time. However, monitoring the running status of concurrent tasks is a very critical issue. We need to ensure the correct execution of tasks and be informed of the progress and results of the tasks in a timely manner. This article will introduce how to solve the problem of running status monitoring of concurrent tasks in Go language, and give specific code examples.

In the Go language, we can implement concurrent execution of tasks through goroutine. Each task can be represented by a goroutine, and channels are used for communication and synchronization between tasks. Therefore, we can know the running status of the task by monitoring the status of the channel.

First, we define a Task structure to represent concurrently executed tasks. The structure contains an input field to receive input parameters, an output field to store the results of task execution, and a done field to indicate whether the task is completed.

type Task struct {
    input  interface{}
    output interface{}
    done   chan bool
}

Next, we define a function to perform specific tasks. During the execution of the task, we can indicate the progress of the task by writing the result of the task to the output field. When the task is completed, we write true to the done field to indicate that the task has been completed.

func (t *Task) Run() {
    // 执行具体的任务逻辑，将结果写入output字段

    // 标记任务执行完成
    t.done <- true
}

Now, we can create a task manager to manage the execution of concurrent tasks. The task manager is responsible for creating and starting goroutines to execute tasks, and periodically querying the status of tasks.

type TaskManager struct {
    tasks []*Task
}

func (tm *TaskManager) RunTasks() {
    // 启动goroutine执行所有任务
    for _, task := range tm.tasks {
        go task.Run()
    }

    // 定期查询任务的状态
    ticker := time.NewTicker(time.Second)
    defer ticker.Stop()

    for range ticker.C {
        allDone := true

        // 查询每个任务的状态
        for _, task := range tm.tasks {
            select {
            case <-task.done:
                // 任务已完成
                fmt.Println("Task completed")
                // 处理任务的结果
                fmt.Println("Task result:", task.output)
            default:
                // 任务未完成
                allDone = false
            }
        }

        // 所有任务都已完成退出循环
        if allDone {
            break
        }
    }
}

Finally, we can create concurrent tasks in the main function, add them to the task manager, and call the RunTasks method of the task manager to execute and monitor the running status of the task.

func main() {
    task1 := &Task{
        input:  "Task 1 input",
        output: nil,
        done:   make(chan bool),
    }

    task2 := &Task{
        input:  "Task 2 input",
        output: nil,
        done:   make(chan bool),
    }

    taskManager := &TaskManager{
        tasks: []*Task{task1, task2},
    }

    taskManager.RunTasks()
}

Through the above example code, we can monitor the running status of concurrent tasks. The execution results of the task can be processed according to actual needs, such as outputting the results of the task, etc. At the same time, we can also adjust and optimize the implementation of the task manager according to specific scenarios.

To summarize, by using the features of goroutine and channel, we can easily monitor the running status of concurrent tasks. This method allows us to better control the execution of the task and learn the progress and results of the task in a timely manner.

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