Which golang framework is most suitable for using ORM to achieve data persistence?

Commonly used data persistence ORM frameworks in GoLang include: GORM, xorm and Beego ORM. GORM is lightweight and easy to use, and supports a variety of databases. xorm is powerful and flexible and provides rich features. Beego ORM is simple and easy to understand, and mainly supports MySQL and PostgreSQL.

GoLang Framework: ORM Data Persistence Guide

In GoLang, using the Object Relational Mapping (ORM) framework is a popular and popular way to achieve data persistence. Convenient method. This article will explore three of the most popular GoLang frameworks that can be used to achieve this: GORM, xorm, and Beego ORM.

1. GORM: A lightweight ORM

GORM is a lightweight, easy-to-use ORM framework. It supports different databases including MySQL, PostgreSQL, SQLite, and Oracle. Here is an example of using GORM to achieve data persistence:

package main

import (
    "gorm.io/gorm"
    "log"
)

type User struct {
    ID   uint
    Name string
    Age  int
}

func main() {
    // 创建一个 gorm DB 实例
    db, err := gorm.Open("mysql", "user:password@tcp(127.0.0.1:3306)/database?parseTime=true")
    if err != nil {
        log.Fatal(err)
    }

    // 自动迁移表结构
    if err := db.AutoMigrate(&User{}); err != nil {
        log.Fatal(err)
    }

    // 创建一条记录
    user := User{Name: "John Doe", Age: 30}
    if err := db.Create(&user).Error; err != nil {
        log.Fatal(err)
    }

    // 查询一条记录
    var result User
    if err := db.First(&result, 1).Error; err != nil {
        log.Fatal(err)
    }
    log.Printf("Queried user: %v", result)
}

2. xorm: A feature-rich ORM

xorm is another popular ORM framework that Known for its powerful features and flexibility. It also supports a variety of databases, including MySQL, PostgreSQL, SQLite, and SQL Server. The following is how to use xorm for data persistence:

package main

import (
    "fmt"
    "xorm.io/xorm"
)

type User struct {
    ID   int64
    Name string
    Age  int
}

func main() {
    // 创建一个 xorm engine
    engine, err := xorm.NewEngine("mysql", "user:password@tcp(127.0.0.1:3306)/database?parseTime=true")
    if err != nil {
        fmt.Println(err)
        return
    }

    // 同步表结构（如果不存在则创建）
    if err := engine.Sync2(new(User)); err != nil {
        fmt.Println(err)
        return
    }

    // 插入一条记录
    user := User{Name: "Jane Doe", Age: 25}
    _, err = engine.InsertOne(user)
    if err != nil {
        fmt.Println(err)
        return
    }

    // 查询一条记录
    var result User
    has, err := engine.ID(1).Get(&result)
    if err != nil {
        fmt.Println(err)
        return
    }
    if has {
        fmt.Println("Queried user:", result)
    }
}

3. Beego ORM: a simple and easy-to-use ORM

Beego ORM is a simple and easy-to-use ORM framework , which is part of the Beego web framework. It mainly supports MySQL and PostgreSQL databases. Here is an example of using Beego ORM for data persistence:

package main

import (
    "beego/orm"
    "fmt"
)

type User struct {
    ID   int
    Name string
    Age  int
}

func main() {
    // 注册模型
    orm.RegisterModel(new(User))

    // 创建一个 ormer
    o := orm.NewOrm()

    // 同步表结构
    o.Syncdb("default")

    // 插入一条记录
    user := User{Name: "Bob Smith", Age: 28}
    _, err := o.Insert(&user)
    if err != nil {
        fmt.Println(err)
        return
    }

    // 查询一条记录
    var result User
    err = o.QueryTable("user").Filter("ID", 1).One(&result)
    if err != nil {
        fmt.Println(err)
        return
    }
    fmt.Println("Queried user:", result)
}

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