What does golang work with nosql?

With the rapid development of Internet technology, more and more companies are beginning to pay more attention to the efficiency of data storage and processing. When traditional relational databases cannot meet the needs of high concurrency processing, NOSQL (Not Only SQL) emerged as the times require and has become one of the first choices for data storage and processing. And Golang is an efficient programming language, so which NOSQL databases can we choose to use with golang?

1. What is NOSQL?

NOSQL, the full name is Not Only SQL, is a non-relational database. Compared with traditional relational databases, NOSQL uses unstructured key-value pairs to store data and does not require fixed entity relationships. This means that NOSQL can store various types of data and can easily scale and process large-scale data. For example, the more common NOSQL databases include MongoDB, Redis, Couchbase, etc.

2. Why choose Golang?

Golang is a high-performance programming language developed by Google, which has the advantages of concurrency, security, and simplicity. Golang is excellent at handling highly concurrent network requests and is widely used in web development, cloud computing, distributed systems, blockchain and other fields. Therefore, using a NOSQL database with Golang can greatly improve the efficiency of data storage and processing.

3. Which NOSQL databases does Golang work with?

1. MongoDB

MongoDB is an open source database based on distributed file storage, using JSON format to store and process data. It supports rich query statements, so it is very suitable for application scenarios with large amounts of data and complex queries, such as e-commerce, social networks, etc. At the same time, because MongoDB can scale horizontally, it can also maintain reliability and good performance under high concurrency.

In Golang, you can use the two libraries mgo or gomongo to operate MongoDB. For example:

package main

import (
    "fmt"
    "gopkg.in/mgo.v2"
    "gopkg.in/mgo.v2/bson"
)

type User struct {
    Username string `bson:"username"`
    Password string `bson:"password"`
}

func main() {
    session, err := mgo.Dial("localhost")
    if err != nil {
        panic(err)
    }
    defer session.Close()

    c := session.DB("test").C("users")

    err = c.Insert(&User{"test", "123456"}, &User{"admin", "admin"})
    if err != nil {
        panic(err)
    }

    result := User{}
    err = c.Find(bson.M{"username": "test"}).One(&result)
    if err != nil {
        panic(err)
    }

    fmt.Println(result.Password)
}

The above code uses the mgo library to perform some simple operations on MongoDB. It first inserts two users, then queries a user based on the user name, and outputs its password.

2. Redis

Redis is a high-performance open source key-value storage system that can support a variety of data structures such as strings, lists, hashes, sets, etc. . The biggest advantage of Redis is that it can support a variety of complex data operations, such as intersection, union, sorting, etc. Therefore, Redis is often used for high-concurrency real-time data processing and caching.

In Golang, you can use the go-redis library to operate Redis. For example:

package main

import (
    "context"
    "fmt"
    "github.com/go-redis/redis/v8"
)

func main() {
    ctx := context.Background()

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

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

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

    err = rdb.Del(ctx, "key").Err()
    if err != nil {
        panic(err)
    }
}

The above code shows how the go-redis library performs simple operations on Redis, including writing, reading, and deleting data.

In addition to MongoDB and Redis, Golang also supports use with NOSQL databases such as Couchbase and Neo4j. According to different needs, you can choose the NOSQL database and Golang library that suits you for more efficient processing and storage. data.

4. Summary

NOSQL database plays an increasingly important role in big data processing and high concurrent access scenarios, and Golang is an efficient and concise programming language that can handle high concurrency. Particularly outstanding. This article briefly introduces how Golang cooperates with MongoDB and Redis to process and store data. I hope it can provide some reference and guidance for developers.

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