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HomeBackend DevelopmentGolangHow to use Redis database in Go language

With the advent of the big data era, the size and complexity of data continue to increase, and the requirements for databases have also become very important. At this time, Redis, as a high-performance NoSQL database, is attracting more and more attention. This article will introduce how to use the Redis database in the Go language.

1. Introduction to Redis

Redis is a NoSQL database based on key-value storage. It supports a variety of data structures, such as strings, lists, sets, ordered sets and hash tables. wait. Redis has high performance and high availability, so it can be used in a variety of scenarios, such as caching, message queues, counters, distributed locks, etc.

2. Install Redis

Before using Redis, we need to install it first. The installation of Redis can be downloaded from the official website, installed using the package manager, or deployed using Docker. Here's how to install using the package manager.

  1. Ubuntu or Debian system

We can run the following command in Terminal to install Redis:

sudo apt-get update
sudo apt -get install redis-server

  1. CentOS or RHEL system

We can run the following command in Terminal to install Redis:

sudo yum update
sudo yum install redis

  1. Mac system

We can use Homebrew to install Redis:

brew install redis

  1. Windows system

We can download the Windows version of Redis from the official website and install it.

3. Interaction between Go language and Redis

After installing Redis, we can start interacting with Redis in Go language. In order to achieve this goal, we need to install some Redis client libraries. In this article, we will use the go-redis library to interact with it.

  1. Install go-redis library

We can run the following command in Terminal to install go-redis library:

go get github.com/ go-redis/redis

  1. Simple Redis operations

The following are some simple Redis operations that allow us to understand how to use Redis in the Go language.

Connect to Redis:

client := redis.NewClient(&redis.Options{

Addr:     "localhost:6379", // Redis地址
Password: "", // Redis密码
DB:       0,  // Redis数据库

})
pong, err := client.Ping().Result ()
fmt.Println(pong, err) // Output: PONG

Set key-value pair:

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

panic(err)

}

Get the key-value pair:

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

panic(err)

}
fmt.Println("key", val)

Delete key-value pair:

err = client.Del("key").Err()
if err != nil {

panic(err)

}

The above code demonstrates connecting to Redis and setting the key How to operate value pairs, get key-value pairs, and delete key-value pairs. Through these simple operations, we can become familiar with using Redis in Go language.

  1. Advanced Redis operations

When using Redis, you can also perform some advanced operations. For example, we can use Redis transactions to ensure that a group of instructions are executed at the same time. The go-redis library also supports this feature. Here is a basic example:

func exampleTransaction() {

err := client.Watch(func(tx *redis.Tx) error {
    _, err := tx.Pipelined(func(pipe redis.Pipeliner) error {
        pipe.Set("key1", "value1", 0)
        pipe.Incr("key2")
        return nil
    })
    return err
}, "key1", "key2")
if err == redis.TxFailedErr {
    // 乐观锁被打破了
    fmt.Println("Transaction failed")
} else if err != nil {
    panic(err)
}

}

In the above example, we created a Redis transaction and set up A key-value pair and the operation of adding 1 to the value of a key. If an optimistic lock is set and the value of any of the keys changes after execution, the operation will be considered a failure.

4. Conclusion

In this article, we introduced the basic concepts of Redis and how to use Redis in the Go language. Using the go-redis library, we can easily complete operations such as connecting, setting, getting, and deleting Redis, and can also perform advanced operations such as Redis transactions. With this knowledge, we can better understand and apply Redis and its role in the big data era.

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