Commonly used libraries in Golang to improve development efficiency, learn to stay close to each other

Common Golang libraries that you must know to quickly improve development efficiency

In the Golang ecosystem, there are many excellent open source libraries that can help us improve development efficiency. . These libraries provide rich functionality and easy-to-use APIs, allowing us to develop high-quality applications more quickly. The following will introduce some common Golang libraries that you must know and give specific code examples.

1. Gin

Gin is a high-performance HTTP framework that is designed to be simple, flexible, and easy to use. Using Gin, we can quickly build RESTful APIs and web applications. The following is a simple example:

package main

import (
    "github.com/gin-gonic/gin"
    "net/http"
)

func main() {
    r := gin.Default()

    r.GET("/hello", func(c *gin.Context) {
        c.JSON(http.StatusOK, gin.H{
            "message": "Hello, world!",
        })
    })

    r.Run(":8080")
}

2. gorm

Gorm is a powerful ORM library that can help us interact with the database more easily. Gorm supports a variety of databases, including MySQL, PostgreSQL, etc. The following is a simple example:

package main

import (
    "github.com/jinzhu/gorm"
    _ "github.com/jinzhu/gorm/dialects/mysql"
)

type User struct {
    gorm.Model
    Name  string
    Email string
}

func main() {
    db, err := gorm.Open("mysql", "user:password@/dbname?charset=utf8&parseTime=True&loc=Local")
    if err != nil {
        panic("failed to connect database")
    }
    defer db.Close()

    db.AutoMigrate(&User{})

    user := User{
        Name:  "Alice",
        Email: "alice@example.com",
    }

    db.Create(&user)

    var users []User
    db.Find(&users)
}

3. redis

Redis is a fast key-value storage database that supports a variety of data structures, including strings, lists, sets, etc. Using Redis, we can cache and store data quickly. The following is a simple example:

package main

import (
    "github.com/go-redis/redis"
)

func main() {
    client := redis.NewClient(&redis.Options{
        Addr:     "localhost:6379",
        Password: "",
        DB:       0,
    })

    err := client.Set("key", "value", 0).Err()
    if err != nil {
        panic(err)
    }

    val, err := client.Get("key").Result()
    if err != nil {
        panic(err)
    }
    fmt.Println("key:", val)
}

4. viper

Viper is a powerful configuration parsing library that supports configuration files in multiple formats, including JSON, YAML, etc. Using Viper, we can easily read and parse configuration files. The following is a simple example:

package main

import (
    "github.com/spf13/viper"
)

func main() {
    viper.SetConfigFile("config.yaml")
    err := viper.ReadInConfig()
    if err != nil {
        panic(err)
    }

    host := viper.GetString("host")
    port := viper.GetInt("port")

    fmt.Printf("Server running on %s:%d
", host, port)
}

5. logrus

Logrus is a powerful log library that supports multiple output formats and level control. Using Logrus we can easily log and debug. The following is a simple example:

package main

import (
    "github.com/sirupsen/logrus"
)

func main() {
    logrus.SetFormatter(&logrus.JSONFormatter{})

    logrus.WithFields(logrus.Fields{
        "animal": "walrus",
        "size":   10,
    }).Info("A group of walrus emerges from the ocean")

    logrus.WithFields(logrus.Fields{
        "omg":    true,
        "number": 122,
    }).Warn("The group's number increased tremendously!")

    logrus.WithFields(logrus.Fields{
        "temperature": -4,
    }).Fatal("The ice breaks!")
}

The above are some common Golang libraries that you must know and know, and they can help us quickly improve development efficiency. By learning and using these libraries, we can build high-quality applications more easily. Of course, there are many other excellent libraries in the Golang ecosystem. I hope readers can continue to explore and learn and continuously improve their technical level.

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