Home Backend Development Golang Using ZooKeeper and Curator for distributed coordination and management in Beego

Using ZooKeeper and Curator for distributed coordination and management in Beego

Jun 22, 2023 pm 09:27 PM
zookeeper beego curator

With the rapid development of the Internet, distributed systems have become one of the infrastructures in many enterprises and organizations. For a distributed system to function properly, it needs to be coordinated and managed. In this regard, ZooKeeper and Curator are two tools worth using.

ZooKeeper is a very popular distributed coordination service that can help us coordinate the status and data between nodes in a cluster. Curator is an open source library that encapsulates ZooKeeper, which can help us use ZooKeeper more conveniently.

In this article, we will introduce how to use ZooKeeper and Curator for distributed coordination and management in Beego. Specifically, we will explain it from the following aspects:

  1. Introducing Curator dependency into the Beego project

Before using Curator, we need to first install it in the Beego project Introducing Curator's dependencies. We can achieve this goal by modifying the project's go.mod file. The specific steps are as follows:

First, open the terminal and enter the path where the Beego project is located.

Then, execute the following command to open the go.mod file:

$ go mod edit -require github.com/apache/curator@v4.2.0
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This command will add a dependency record to the last line of the go.mod file, specifying the Curator version number that needs to be introduced. In this example, we chose version v4.2.0, but you can also choose other versions as needed.

Finally, execute the following command to download Curator dependencies:

$ go mod tidy
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This command will download the required dependency packages based on the dependency information recorded in the go.mod file.

  1. Create the ZooKeeper client in the Beego project

After introducing the Curator dependency, we can start using it to connect to ZooKeeper. Before doing this, we need to create a ZooKeeper client in the Beego project. The specific steps are as follows:

First, create a new file in a module of the Beego project, for example, called "zk_client.go".

In this file, we need to import the relevant packages of Curator and define a global ZooKeeper client variable. The code is as follows:

package main

import (
    "fmt"

    "github.com/apache/curator-go/curator"
)

var zkClient curator.CuratorFramework
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After defining the ZooKeeper client variable, we need When the Beego project starts, initialize it. Specifically, we can add the following code to the main function of the Beego project:

func main() {
    // 启动ZooKeeper客户端
    err := initZKClient()
    if err != nil {
        panic(err)
    }
    
    // 启动Beego服务
    beego.Run()
}

func initZKClient() error {
    // 创建ZooKeeper客户端配置对象
    config := &curator.Config{
        Retry: &curator.RetryPolicy{
            MaxRetry:  3,
            SleepTime: time.Second,
        },
        Namespace: "myapp",
    }

    // 创建ZooKeeper客户端
    client, err := curator.NewClient([]string{"127.0.0.1:2181"}, config)
    if err != nil {
        return err
    }

    // 启动ZooKeeper客户端
    client.Start()

    // 等待ZooKeeper客户端连接成功
    if ok := client.WaitForConnection(curator.DefaultTimeout); !ok {
        return fmt.Errorf("failed to connect to ZooKeeper")
    }

    // 设置全局ZooKeeper客户端变量
    zkClient = client

    return nil
}
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In the above code, we first define a ZooKeeper client configuration object named "config". In this object, we specify the retry strategy and the ZooKeeper namespace. Next, we created a ZooKeeper client using the configuration object and started it. Finally, we wait for the client to connect successfully and assign it to the global ZooKeeper client variable defined earlier.

  1. Using ZooKeeper in the Beego project

In the previous step, we have successfully created a ZooKeeper client. Now, we can use this client to implement some distributed coordination and management functions. Here is some sample code using ZooKeeper.

3.1 Create a ZooKeeper node

We can use the following code to create a new node in ZooKeeper:

func createZKNode(path string, data []byte) error {
    // 创建ZooKeeper节点
    _, err := zkClient.Create().
        WithMode(curator.PERSISTENT).
        WithACL(curator.DigestACL("user:password", []byte("rw"))).
        ForPathWithData(path, data)
    if err != nil {
        return err
    }

    return nil
}
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In the above code, we use the ZooKeeper client Create method to create a new node. This method receives a path and a data byte array as input parameters and returns a newly created node path. In addition, we also specify the creation mode and ACL permissions of the node.

3.2 Obtain the data of a ZooKeeper node

We can use the following code to obtain the data of a ZooKeeper node:

func getZKNodeData(path string) ([]byte, error) {
    // 从ZooKeeper中获取数据
    data, _, err := zkClient.GetData().ForPath(path)
    if err != nil {
        return nil, err
    }

    return data, nil
}
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In the above code, we use the ZooKeeper client GetData method to obtain the data of the corresponding node. This method receives a node path as input parameter and returns a data byte array.

3.3 Update the data of a ZooKeeper node

We can use the following code to update the data of a ZooKeeper node:

func setZKNodeData(path string, data []byte) error {
    // 更新ZooKeeper节点的数据
    _, err := zkClient.SetData().ForPathWithData(path, data)
    if err != nil {
        return err
    }

    return nil
}
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In the above code, we use the ZooKeeper client SetData method to update the data of the corresponding node. This method receives a node path and a data byte array as input parameters and does not return any results.

  1. Summary

In this article, we introduced how to use ZooKeeper and Curator for distributed coordination and management in Beego. Specifically, we introduced the Curator dependency, created a ZooKeeper client, and used the ZooKeeper client to implement some distributed coordination and management functions. I hope this article can help developers who need to build distributed systems.

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