How to use async cache in Golang?

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Release: 2024-06-05 11:52:56
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如何在 Golang 中使用异步缓存?

How to use asynchronous caching in Golang

Asynchronous caching is a technology that handles caching operations in the background, which can improve the performance of the application. performance. By performing cache operations asynchronously, the main execution thread is not blocked, thus maintaining responsiveness.

Installation and configuration

In Golang, you can use [github.com/go-redis/redis](https://github .com/go-redis/redis) package to implement asynchronous caching. Installation package:

go get -u github.com/go-redis/redis
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Next, create a Redis client:

import (
    "context"
    "time"

    "github.com/go-redis/redis/v8"
)

var ctx = context.Background()
var client = redis.NewClient(&redis.Options{
    Addr:     "localhost:6379",
    Password: "",
    DB:       0,
})
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Asynchronous cache example

Now, let us create an asynchronous cache function :

func GetAsync(key string) (string, error) {
    cmd := client.Get(ctx, key)
    return cmd.Result()
}
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This function will perform the cache acquisition operation asynchronously. To use this function, you can call it in another coroutine:

go func() {
    value, err := GetAsync("key")
    if err != nil {
        // Handle error
    }
    fmt.Println(value)
}
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The main execution thread will continue to execute, while the cache operation will be performed asynchronously in the background. When the cached result is available, it will be returned via the cmd.Result() function.

Practical case: Redis

Let us use Redis to demonstrate asynchronous caching. First, set Redis to asynchronous mode:

CONFIG SET notify-keyspace-events AKE
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Then, use the GetAsync function to asynchronously obtain the cached value:

go func() {
    value, err := GetAsync("key")
    if err != nil {
        // Handle error
    }
    fmt.Println(value)
}

// 触发缓存事件(例如,从 Redis 中设置键值)
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In asynchronous mode, Redis will send Notifications about cache events. When a cache event occurs, the GetAsync function will return the result via cmd.Result().

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