Combination practice of go-zero and Apache Camel: building a high-performance distributed message routing system

In recent years, with the rapid development of Internet technology, enterprises are faced with an increasing amount of data, and traditional centralized message queues often cannot meet the needs of distributed systems. Therefore, distributed message routing systems are becoming more and more popular. Get attention from businesses.

This article introduces how to use the two open source frameworks go-zero and Apache Camel to implement a high-performance distributed message routing system.

1. Introduction to go-zero

go-zero is a microservice framework that integrates many components (such as RPC, API, cache, logs, etc.). It provides a rich library and Tools that can quickly build highly available, high-performance, and easy-to-maintain distributed systems.

The main features of go-zero are as follows:

1. Based on gRPC: Use protobuf to define interfaces and support multiple languages, such as Go, Java, Python, etc.

2. Automatically generate code: automatically generate model and service codes based on the defined proto file.

3. Support multiple data storage: support MySQL, Redis, MongoDB and other data storage methods.

4. Built-in cache: built-in Memcached and Redis, supporting cache read-write separation, multi-level cache, etc.

5. Lightweight: Compared with other frameworks, go-zero has a very small amount of code, a low learning curve, and is very convenient to use.

2. Introduction to Apache Camel

Apache Camel is an open source, rule-based routing and mediation framework that can be used to connect different components of various applications.

The main features of Camel are as follows:

1. Easy to expand: Camel is designed with a large number of components, and existing routers and data converters can be easily expanded by adding new components.

2. Multi-language support: Supports interaction between various languages ​​and protocols, such as Java, C#, C, Python, Scala, Ruby, etc.

3. Lightweight: Compared with other frameworks, Camel has a very small amount of code, a low learning curve, and is very convenient to use.

4. Multi-data source support: Supports conversion between various data sources, such as MQ, HTTP, JMS, TCP, FTP, etc.

3. Combination practice of go-zero and Apache Camel

We use go-zero to build an RPC server to handle various requests, such as message routing, data conversion, etc. Apache Camel is responsible for data conversion and routing.

In this server side, we use go-zero's model and service automatic generation tools to generate message routing and data conversion services. These services are based on the gRPC communication framework, and the interfaces are defined using protobuf.

Next, we will use Camel to implement routing and data conversion functions. For routing, we use Camel's routing engine to route messages to the target service. For data conversion, we use various data converters provided by Camel to convert the message into the target format and transmit it to the target system.

In order to better demonstrate the construction process of this distributed message routing system, we will illustrate with a simple example.

First, we have a scenario: an order management system needs to send order information to the ERP system for processing. We need to implement the following functions:

1. Receive order messages from the order management system.

2. Convert the order message into a format that can be recognized by the ERP system.

3. Route the converted order message to the ERP system.

To implement these functions, we can do this:

1. Use go-zero to build an RPC server to receive order messages from the order management system.

2. Use the JMS component provided by Camel as the message middleware to transmit the order message to the ERP system.

3. Use Camel's data converter to convert the order message into a format that can be recognized by the ERP system.

4. Define Camel routing rules to route the converted order messages to the ERP system.

Next, let’s look at the specific implementation steps.

First, define the protobuf interface and data model in go-zero:

syntax = "proto3";

package order;

option go_package = "order";

message OrderInfo {
    string orderId = 1;
    string customerName = 2;
    string address = 3;
    string phone = 4;
}

service OrderService {
    // 接收订单信息
    rpc SubmitOrder(OrderInfo) returns (Empty) {}
}

Use go-zero automatic generation tool to generate model and service code:

# 生成model
make service.proto

# 生成service
make service

Then, On the RPC server side, implement the SubmitOrder method to receive order messages from the order management system:

func (s *Service) SubmitOrder(ctx context.Context, req *order.OrderInfo) (*status.Empty, error) {
    orders := make([]string, 0)
    orders = append(orders, req.OrderId)
    orders = append(orders, req.CustomerName)
    orders = append(orders, req.Address)
    orders = append(orders, req.Phone)

    // 通过RPC发送消息到消息中间件
    go sendToMQ(orders)

    return &status.Empty{}, nil
}

func sendToMQ(order []string) {
    // 发送MQ消息
    orderInfo := map[string]interface{}{
        "orderId":      order[0],
        "customerName": order[1],
        "address":      order[2],
        "phone":        order[3],
    }
    fmt.Printf("Send to MQ: %v
", orderInfo)

    message := &jms.TextMessage{
        Body: fmt.Sprintf("%v", orderInfo),
    }
    err := producer.Send(message)
    if err != nil {
        fmt.Printf("Failed to send message: %v
", err)
    }
}

Next, we use Camel’s JMS component to connect to the ActiveMQ message middleware:

from("activemq:queue:order.queue").process(new Processor() {
    public void process(Exchange exchange) throws Exception {
        // 接收MQ消息，转换数据格式
        Map<String, Object> orderInfo = new HashMap<String, Object>();
        orderInfo = exchange.getIn().getBody(Map.class);

        exchange.getIn().setBody(orderInfo);
    }
});

Then, Use Camel's data converter to convert the order message into a format that the ERP system can recognize:

from("activemq:queue:order.queue").process(new Processor() {
    public void process(Exchange exchange) throws Exception {
        // 接收MQ消息，转换数据格式
        Map<String, Object> orderInfo = new HashMap<String, Object>();
        orderInfo = exchange.getIn().getBody(Map.class);

        // 数据转换
        String json = "{"order_id": "" + orderInfo.get("orderId") + """ +
                ", "customer_name": "" + orderInfo.get("customerName") + """ +
                ", "address": "" + orderInfo.get("address") + """ +
                ", "phone": "" + orderInfo.get("phone") + """ +
                "}";

        exchange.getIn().setBody(json);
    }
});

Finally, define Camel routing rules to route the converted order message to the ERP system:

from("activemq:queue:order.queue").process(new Processor() {
    public void process(Exchange exchange) throws Exception {
        // 接收MQ消息，转换数据格式
        Map<String, Object> orderInfo = new HashMap<String, Object>();
        orderInfo = exchange.getIn().getBody(Map.class);

        // 数据转换
        String json = "{"order_id": "" + orderInfo.get("orderId") + """ +
                ", "customer_name": "" + orderInfo.get("customerName") + """ +
                ", "address": "" + orderInfo.get("address") + """ +
                ", "phone": "" + orderInfo.get("phone") + """ +
                "}";

        exchange.getIn().setBody(json);
    }
}).to("http://erp.com/order");

In the above code, we use Camel's routing engine and data converter to convert and route the order message to the ERP system.

4. Summary

This article introduces how to use the two open source frameworks go-zero and Apache Camel to implement a high-performance distributed message routing system. By using the features and advantages of go-zero and Camel, a distributed message routing system with high performance, high availability, and easy maintenance can be better developed, bringing greater value to enterprises.

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