Job scheduling and multi-task allocation in Go language

Go language is an efficient, concise, and concurrent programming language. Its powerful concurrency support and lightweight threads are a major feature of Go language. The Go language also provides corresponding mechanisms for implementing timing scheduling and multi-task allocation. This article will introduce job scheduling and multi-task allocation in the Go language.

1. Job Scheduling

Job scheduling in Go language can be implemented with the help of the time package. The functions NewTicker, NewTimer and Sleep provided by this package can help us complete different job scheduling requirements. Taking NewTicker as an example, its function prototype is as follows:

func NewTicker(d Duration) *Ticker

The parameter d represents the time interval of each ticker, and Ticker returns a channel in which it can be read Get time event. The following is a simple example:

package main

import (
    "fmt"
    "time"
)

func main() {
    t := time.NewTicker(time.Millisecond * 500)
    defer t.Stop()
    for i := 0; i < 10; i++ {
        <-t.C
        fmt.Println("tick")
    }
}

In the above code, we use NewTicker to create a ticker that triggers every 500 milliseconds, and use a for loop to accept channel messages and print out "tick".

Of course, we can also use NewTimer to create a one-time job schedule. The function prototype is as follows:

func NewTimer(d Duration) *Timer

The parameter d Representing the duration to wait, Timer returns a channel in which time events can be read. The following is a simple example:

package main

import (
    "fmt"
    "time"
)

func main() {
    fmt.Println("starting...")
    t := time.NewTimer(time.Second)
    <-t.C
    fmt.Println("done")
}

In the above code, we use NewTimer to create a timer with a duration of 1 second and wait for the timer to end in the channel. This code snippet will wait for 1 second and then print out "done".

2. Multi-task allocation

The Go language inherently supports concurrent programming, so we can easily implement multi-task allocation. The following is a simple example:

package main

import (
    "fmt"
    "time"
)

func worker(id int, jobs <-chan int, results chan<- int) {
    for j := range jobs {
        fmt.Printf("worker %d processing job %d
", id, j)
        time.Sleep(time.Second)
        results <- j * 2
    }
}

func main() {
    jobs := make(chan int, 100)
    results := make(chan int, 100)

    for w := 1; w <= 3; w++ {
        go worker(w, jobs, results)
    }

    for j := 1; j <= 5; j++ {
        jobs <- j
    }
    close(jobs)

    for a := 1; a <= 5; a++ {
        <-results
    }
}

In the above code, we implemented a simple task allocator, created 3 worker coroutines, and assigned tasks to channels. Each worker coroutine reads tasks from the channel, executes the tasks and returns the results to the result channel. The main function waits for all results to be returned.

Summary

The efficient concurrency support of Go language provides us with convenient job scheduling and multi-task allocation implementation. Through the NewTicker, NewTimer and Sleep functions of the time package, we can easily implement timing scheduling. Through coroutines and channels, we can easily implement multi-tasking distribution. These features allow us to implement concurrent programming and task allocation faster when writing code every day, and improve the running efficiency and performance of the code.

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