Home Backend Development Golang Golang implements queuing

Golang implements queuing

May 19, 2023 am 10:29 AM

In modern society, people increasingly need to queue up to solve various problems, such as queuing up to buy tickets, queuing up for medical treatment, queuing up for transportation, etc. One of the ways to achieve queuing is to use computer technology.

In the computer field, there is a programming language called Go, also known as Golang. It is a modern programming language developed by Google and is widely used to develop high-performance and distributed systems. This article will introduce how to implement queuing using Golang.

The first thing to make clear is that queuing is a typical data structure application scenario, so we can use the queue in Golang to implement queuing. A queue is a first-in-first-out data structure, very similar to the queuing model.

In Golang, we can use the list in the built-in container package to implement the queue. The specific implementation method is as follows:

  1. First define a queue structure:
type Queue struct {
    list *list.List
}
Copy after login
  1. Next, we need to initialize the queue, create a new list, and return An instance of Queue type:
func New() *Queue {
    return &Queue{
        list: list.New(),
    }
}
Copy after login
  1. We need to add elements to the queue, you can use the Push method of the queue:
func (q *Queue) Push(v interface{}) {
    q.list.PushBack(v)
}
Copy after login
  1. in the queue To dequeue elements, you need to use the Pop method of the queue:
func (q *Queue) Pop() interface{} {
    e := q.list.Front()
    if e != nil {
        q.list.Remove(e)
        return e.Value
    }
    return nil
}
Copy after login

The above is how to use the list in Golang to implement the queue.

Next, we will use queues to implement a queuing system. In the queuing system, we need to implement the following points:

  1. Each element in the queue represents an individual participating in the queue, and the information of each individual needs to be recorded, such as number, waiting time, etc.
  2. Individuals need to enter the queue according to certain rules, such as on a first-come, first-served basis, or according to priority.
  3. When the number of individuals in the queue reaches a certain level, the system needs to remove individuals from the queue according to certain rules, such as removing the first individual to enter the queue.
  4. When an individual is taken out, it needs to be removed from the queue, and its waiting time, service time and other information should be recorded.

Based on the above requirements, we can define a Person structure to record the information of each individual:

type Person struct {
    id int       // 编号
    waitTime int // 等待时间
    serveTime int // 服务时间
}
Copy after login

Next, we can define a Queue structure to Implement the queuing function:

type Queue struct {
    list *list.List // 存储每个个体
}

func NewQueue() *Queue {
    return &Queue{
        list: list.New(),
    }
}

func (q *Queue) Push(p *Person) {
    q.list.PushBack(p)
}

func (q *Queue) Pop() *Person {
    e := q.list.Front()
    if e != nil {
        q.list.Remove(e)
        return e.Value.(*Person)
    }
    return nil
}

func (q *Queue) Len() int {
    return q.list.Len()
}
Copy after login

The above code demonstrates how to use queues to implement the queuing function. We can use this Queue structure in the program to represent the queue in the queuing system.

We can implement a simple example to demonstrate how to use the Queue structure to implement a queuing system:

package main

import (
    "fmt"
    "time"
)

type Person struct {
    id int       // 编号
    waitTime int // 等待时间
    serveTime int // 服务时间
}

func NewPerson(id int) *Person {
    return &Person{
        id: id,
    }
}

func main() {
    q := NewQueue()

    // 模拟10个人排队
    for i := 1; i <= 10; i++ {
        p := NewPerson(i)
        q.Push(p)
    }

    // 每秒钟服务一个人,直到队列为空
    for q.Len() > 0 {
        time.Sleep(time.Second)
        p := q.Pop()
        if p != nil {
            p.waitTime += 1
            p.serveTime += 1
            fmt.Printf("编号%d的人被服务,等待%d秒,已服务%d秒
", p.id, p.waitTime, p.serveTime)
        }
    }
}
Copy after login

The above code demonstrates a simple queuing system, which simulates 10 people queuing. process, serving one person per second until the queue is empty.

This article introduces how to use Golang to implement queuing. When implementing a queuing system, we can use queues to store individuals, add individuals to the queue according to certain rules, remove individuals from the queue, and record individual information. By using the list package in Golang, we can easily implement queue functionality.

The above is the detailed content of Golang implements queuing. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

What are the vulnerabilities of Debian OpenSSL What are the vulnerabilities of Debian OpenSSL Apr 02, 2025 am 07:30 AM

OpenSSL, as an open source library widely used in secure communications, provides encryption algorithms, keys and certificate management functions. However, there are some known security vulnerabilities in its historical version, some of which are extremely harmful. This article will focus on common vulnerabilities and response measures for OpenSSL in Debian systems. DebianOpenSSL known vulnerabilities: OpenSSL has experienced several serious vulnerabilities, such as: Heart Bleeding Vulnerability (CVE-2014-0160): This vulnerability affects OpenSSL 1.0.1 to 1.0.1f and 1.0.2 to 1.0.2 beta versions. An attacker can use this vulnerability to unauthorized read sensitive information on the server, including encryption keys, etc.

What libraries are used for floating point number operations in Go? What libraries are used for floating point number operations in Go? Apr 02, 2025 pm 02:06 PM

The library used for floating-point number operation in Go language introduces how to ensure the accuracy is...

What is the problem with Queue thread in Go's crawler Colly? What is the problem with Queue thread in Go's crawler Colly? Apr 02, 2025 pm 02:09 PM

Queue threading problem in Go crawler Colly explores the problem of using the Colly crawler library in Go language, developers often encounter problems with threads and request queues. �...

PostgreSQL monitoring method under Debian PostgreSQL monitoring method under Debian Apr 02, 2025 am 07:27 AM

This article introduces a variety of methods and tools to monitor PostgreSQL databases under the Debian system, helping you to fully grasp database performance monitoring. 1. Use PostgreSQL to build-in monitoring view PostgreSQL itself provides multiple views for monitoring database activities: pg_stat_activity: displays database activities in real time, including connections, queries, transactions and other information. pg_stat_replication: Monitors replication status, especially suitable for stream replication clusters. pg_stat_database: Provides database statistics, such as database size, transaction commit/rollback times and other key indicators. 2. Use log analysis tool pgBadg

Transforming from front-end to back-end development, is it more promising to learn Java or Golang? Transforming from front-end to back-end development, is it more promising to learn Java or Golang? Apr 02, 2025 am 09:12 AM

Backend learning path: The exploration journey from front-end to back-end As a back-end beginner who transforms from front-end development, you already have the foundation of nodejs,...

How to solve the user_id type conversion problem when using Redis Stream to implement message queues in Go language? How to solve the user_id type conversion problem when using Redis Stream to implement message queues in Go language? Apr 02, 2025 pm 04:54 PM

The problem of using RedisStream to implement message queues in Go language is using Go language and Redis...

In Go, why does printing strings with Println and string() functions have different effects? In Go, why does printing strings with Println and string() functions have different effects? Apr 02, 2025 pm 02:03 PM

The difference between string printing in Go language: The difference in the effect of using Println and string() functions is in Go...

How to specify the database associated with the model in Beego ORM? How to specify the database associated with the model in Beego ORM? Apr 02, 2025 pm 03:54 PM

Under the BeegoORM framework, how to specify the database associated with the model? Many Beego projects require multiple databases to be operated simultaneously. When using Beego...

See all articles